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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Cervical cancer screening and HPV vaccine acceptability among rural and urban women in Kilimanjaro Region, Tanzania</title><author><name sortKey="Cunningham, Melissa S" sort="Cunningham, Melissa S" uniqKey="Cunningham M" first="Melissa S" last="Cunningham">Melissa S. Cunningham</name><affiliation><nlm:aff id="af1"><addr-line>Department of Public Health Sciences</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation></author><author><name sortKey="Skrastins, Emily" sort="Skrastins, Emily" uniqKey="Skrastins E" first="Emily" last="Skrastins">Emily Skrastins</name><affiliation><nlm:aff id="af1"><addr-line>Department of Public Health Sciences</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation></author><author><name sortKey="Fitzpatrick, Ryan" sort="Fitzpatrick, Ryan" uniqKey="Fitzpatrick R" first="Ryan" last="Fitzpatrick">Ryan Fitzpatrick</name><affiliation><nlm:aff id="af2"><addr-line>Faculty of Medicine</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation></author><author><name sortKey="Jindal, Priya" sort="Jindal, Priya" uniqKey="Jindal P" first="Priya" last="Jindal">Priya Jindal</name><affiliation><nlm:aff id="af2"><addr-line>Faculty of Medicine</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation></author><author><name sortKey="Oneko, Olola" sort="Oneko, Olola" uniqKey="Oneko O" first="Olola" last="Oneko">Olola Oneko</name><affiliation><nlm:aff id="af3"><institution>Kilimanjaro Christian Medical Center</institution>,<addr-line>Moshi, Tanzania</addr-line>,<country>Africa</country></nlm:aff></affiliation></author><author><name sortKey="Yeates, Karen" sort="Yeates, Karen" uniqKey="Yeates K" first="Karen" last="Yeates">Karen Yeates</name><affiliation><nlm:aff id="af1"><addr-line>Department of Public Health Sciences</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation><affiliation><nlm:aff id="af2"><addr-line>Faculty of Medicine</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation></author><author><name sortKey="Booth, Christopher M" sort="Booth, Christopher M" uniqKey="Booth C" first="Christopher M" last="Booth">Christopher M. Booth</name><affiliation><nlm:aff id="af4"><addr-line>Division of Cancer Care and Epidemiology</addr-line>,<institution>Cancer Research Institute, Queen's University</institution>,<addr-line>Kingston</addr-line>,<country>Canada</country></nlm:aff></affiliation></author><author><name sortKey="Carpenter, Jennifer" sort="Carpenter, Jennifer" uniqKey="Carpenter J" first="Jennifer" last="Carpenter">Jennifer Carpenter</name><affiliation><nlm:aff id="af1"><addr-line>Department of Public Health Sciences</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation><affiliation><nlm:aff id="af2"><addr-line>Faculty of Medicine</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation></author><author><name sortKey="Aronson, Kristan J" sort="Aronson, Kristan J" uniqKey="Aronson K" first="Kristan J" last="Aronson">Kristan J. Aronson</name><affiliation><nlm:aff id="af1"><addr-line>Department of Public Health Sciences</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation><affiliation><nlm:aff id="af4"><addr-line>Division of Cancer Care and Epidemiology</addr-line>,<institution>Cancer Research Institute, Queen's University</institution>,<addr-line>Kingston</addr-line>,<country>Canada</country></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25757944</idno><idno type="pmc">4360576</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4360576</idno><idno type="RBID">PMC:4360576</idno><idno type="doi">10.1136/bmjopen-2014-005828</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">002272</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002272</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Cervical cancer screening and HPV vaccine acceptability among rural and urban women in Kilimanjaro Region, Tanzania</title><author><name sortKey="Cunningham, Melissa S" sort="Cunningham, Melissa S" uniqKey="Cunningham M" first="Melissa S" last="Cunningham">Melissa S. Cunningham</name><affiliation><nlm:aff id="af1"><addr-line>Department of Public Health Sciences</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation></author><author><name sortKey="Skrastins, Emily" sort="Skrastins, Emily" uniqKey="Skrastins E" first="Emily" last="Skrastins">Emily Skrastins</name><affiliation><nlm:aff id="af1"><addr-line>Department of Public Health Sciences</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation></author><author><name sortKey="Fitzpatrick, Ryan" sort="Fitzpatrick, Ryan" uniqKey="Fitzpatrick R" first="Ryan" last="Fitzpatrick">Ryan Fitzpatrick</name><affiliation><nlm:aff id="af2"><addr-line>Faculty of Medicine</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation></author><author><name sortKey="Jindal, Priya" sort="Jindal, Priya" uniqKey="Jindal P" first="Priya" last="Jindal">Priya Jindal</name><affiliation><nlm:aff id="af2"><addr-line>Faculty of Medicine</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation></author><author><name sortKey="Oneko, Olola" sort="Oneko, Olola" uniqKey="Oneko O" first="Olola" last="Oneko">Olola Oneko</name><affiliation><nlm:aff id="af3"><institution>Kilimanjaro Christian Medical Center</institution>,<addr-line>Moshi, Tanzania</addr-line>,<country>Africa</country></nlm:aff></affiliation></author><author><name sortKey="Yeates, Karen" sort="Yeates, Karen" uniqKey="Yeates K" first="Karen" last="Yeates">Karen Yeates</name><affiliation><nlm:aff id="af1"><addr-line>Department of Public Health Sciences</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation><affiliation><nlm:aff id="af2"><addr-line>Faculty of Medicine</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation></author><author><name sortKey="Booth, Christopher M" sort="Booth, Christopher M" uniqKey="Booth C" first="Christopher M" last="Booth">Christopher M. Booth</name><affiliation><nlm:aff id="af4"><addr-line>Division of Cancer Care and Epidemiology</addr-line>,<institution>Cancer Research Institute, Queen's University</institution>,<addr-line>Kingston</addr-line>,<country>Canada</country></nlm:aff></affiliation></author><author><name sortKey="Carpenter, Jennifer" sort="Carpenter, Jennifer" uniqKey="Carpenter J" first="Jennifer" last="Carpenter">Jennifer Carpenter</name><affiliation><nlm:aff id="af1"><addr-line>Department of Public Health Sciences</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation><affiliation><nlm:aff id="af2"><addr-line>Faculty of Medicine</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation></author><author><name sortKey="Aronson, Kristan J" sort="Aronson, Kristan J" uniqKey="Aronson K" first="Kristan J" last="Aronson">Kristan J. Aronson</name><affiliation><nlm:aff id="af1"><addr-line>Department of Public Health Sciences</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></nlm:aff></affiliation><affiliation><nlm:aff id="af4"><addr-line>Division of Cancer Care and Epidemiology</addr-line>,<institution>Cancer Research Institute, Queen's University</institution>,<addr-line>Kingston</addr-line>,<country>Canada</country></nlm:aff></affiliation></author></analytic><series><title level="j">BMJ Open</title><idno type="eISSN">2044-6055</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Objective</title><p>To determine cervical cancer screening coverage and the knowledge, attitudes and barriers toward screening tests among women in rural and urban areas of Tanzania, as well as explore how they view the acceptability of the HPV vaccine and potential barriers to vaccination.</p></sec><sec><title>Setting</title><p>A cross-sectional study using interview-administered questionnaires was conducted using multistage random sampling within urban and rural areas in Kilimanjaro Region, Tanzania.</p></sec><sec><title>Participants</title><p>Women aged 18–55 were asked to participate in the survey. The overall response rate was 97.5%, with a final sample of 303 rural and 272 urban dwelling women.</p></sec><sec><title>Primary and secondary outcome measures</title><p>Descriptive and simple test statistics were used to compare across rural and urban strata. Multivariate logistic regression models were used to estimate ORs and 95% CIs.</p></sec><sec><title>Results</title><p>Most women (82%) reported they had heard of cervical cancer, while self-reported cervical cancer screening among women was very low (6%). In urban areas, factors associated with screening were: older age (OR=4.14, 95% CI 1.86 to 9.24 for ages 40–49, and OR=8.38, 95% CI 2.10 to 33.4 for >50 years), having health insurance (OR=4.15, 95% CI 1.52 to 11.4), and having knowledge about cervical cancer (OR=5.81, 95% CI 1.58 to 21.4). In contrast, among women residing in rural areas, only condom use (OR=6.44, 95% CI 1.12 to 37.1) was associated with screening. Women from both rural and urban areas had low vaccine-related knowledge; however, most indicated they would be highly accepting if it were readily available (93%).</p></sec><sec><title>Conclusions</title><p>The current proportion of women screened for cervical cancer is very low in Kilimanjaro Region, and our study has identified several modifiable factors that could be addressed to increase screening rates. Although best implemented concurrently, the availability of prophylactic vaccination for girls may provide an effective means of prevention if they are unable to access screening in the future.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="De Sanjose, S" uniqKey="De Sanjose S">S De Sanjosé</name></author><author><name sortKey="Serrano, B" uniqKey="Serrano B">B Serrano</name></author><author><name sortKey="Castellsague, X" uniqKey="Castellsague X">X Castellsagué</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Schiffman, M" uniqKey="Schiffman M">M Schiffman</name></author><author><name sortKey="Castle, Pe" uniqKey="Castle P">PE Castle</name></author><author><name sortKey="Jeronimo, J" uniqKey="Jeronimo J">J Jeronimo</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Franco, El" uniqKey="Franco E">EL Franco</name></author><author><name sortKey="Schlecht, Nf" 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<front><journal-meta><journal-id journal-id-type="nlm-ta">BMJ Open</journal-id><journal-id journal-id-type="iso-abbrev">BMJ Open</journal-id><journal-id journal-id-type="hwp">bmjopen</journal-id><journal-id journal-id-type="publisher-id">bmjopen</journal-id><journal-title-group><journal-title>BMJ Open</journal-title></journal-title-group><issn pub-type="epub">2044-6055</issn><publisher><publisher-name>BMJ Publishing Group</publisher-name><publisher-loc>BMA House, Tavistock Square, London, WC1H 9JR</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">25757944</article-id><article-id pub-id-type="pmc">4360576</article-id><article-id pub-id-type="publisher-id">bmjopen-2014-005828</article-id><article-id pub-id-type="doi">10.1136/bmjopen-2014-005828</article-id><article-categories><subj-group subj-group-type="heading"><subject>Epidemiology</subject><subj-group><subject>Research</subject></subj-group></subj-group><subj-group subj-group-type="hwp-journal-coll"><subject>1506</subject><subject>1692</subject><subject>1699</subject><subject>1724</subject><subject>1733</subject><subject>1692</subject><subject>1717</subject></subj-group></article-categories><title-group><article-title>Cervical cancer screening and HPV vaccine acceptability among rural and urban women in Kilimanjaro Region, Tanzania</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Cunningham</surname><given-names>Melissa S</given-names></name><xref ref-type="aff" rid="af1">1</xref></contrib><contrib contrib-type="author"><name><surname>Skrastins</surname><given-names>Emily</given-names></name><xref ref-type="aff" rid="af1">1</xref></contrib><contrib contrib-type="author"><name><surname>Fitzpatrick</surname><given-names>Ryan</given-names></name><xref ref-type="aff" rid="af2">2</xref></contrib><contrib contrib-type="author"><name><surname>Jindal</surname><given-names>Priya</given-names></name><xref ref-type="aff" rid="af2">2</xref></contrib><contrib contrib-type="author"><name><surname>Oneko</surname><given-names>Olola</given-names></name><xref ref-type="aff" rid="af3">3</xref></contrib><contrib contrib-type="author"><name><surname>Yeates</surname><given-names>Karen</given-names></name><xref ref-type="aff" rid="af1">1</xref><xref ref-type="aff" rid="af2">2</xref></contrib><contrib contrib-type="author"><name><surname>Booth</surname><given-names>Christopher M</given-names></name><xref ref-type="aff" rid="af4">4</xref></contrib><contrib contrib-type="author"><name><surname>Carpenter</surname><given-names>Jennifer</given-names></name><xref ref-type="aff" rid="af1">1</xref><xref ref-type="aff" rid="af2">2</xref></contrib><contrib contrib-type="author"><name><surname>Aronson</surname><given-names>Kristan J</given-names></name><xref ref-type="aff" rid="af1">1</xref><xref ref-type="aff" rid="af4">4</xref></contrib></contrib-group><aff id="af1"><label>1</label><addr-line>Department of Public Health Sciences</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></aff><aff id="af2"><label>2</label><addr-line>Faculty of Medicine</addr-line>,<institution>Queen's University</institution>,<addr-line>Kingston, Ontario</addr-line>,<country>Canada</country></aff><aff id="af3"><label>3</label><institution>Kilimanjaro Christian Medical Center</institution>,<addr-line>Moshi, Tanzania</addr-line>,<country>Africa</country></aff><aff id="af4"><label>4</label><addr-line>Division of Cancer Care and Epidemiology</addr-line>,<institution>Cancer Research Institute, Queen's University</institution>,<addr-line>Kingston</addr-line>,<country>Canada</country></aff><author-notes><corresp><label>Correspondence to</label> Dr Kristan J Aronson; <email>aronson@queensu.ca</email></corresp><fn><p>MSC and ES are cofirst authors.</p></fn></author-notes><pub-date pub-type="collection"><year>2015</year></pub-date><pub-date pub-type="epub"><day>10</day><month>3</month><year>2015</year></pub-date><volume>5</volume><issue>3</issue><elocation-id>e005828</elocation-id><history><date date-type="received"><day>2</day><month>6</month><year>2014</year></date><date date-type="rev-recd"><day>11</day><month>2</month><year>2015</year></date><date date-type="accepted"><day>13</day><month>2</month><year>2015</year></date></history><permissions><copyright-statement>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</copyright-statement><copyright-year>2015</copyright-year><license license-type="open-access"><license-p>This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">http://creativecommons.org/licenses/by-nc/4.0/</ext-link></license-p></license></permissions><self-uri xlink:title="pdf" xlink:href="bmjopen-2014-005828.pdf"></self-uri><abstract><sec><title>Objective</title><p>To determine cervical cancer screening coverage and the knowledge, attitudes and barriers toward screening tests among women in rural and urban areas of Tanzania, as well as explore how they view the acceptability of the HPV vaccine and potential barriers to vaccination.</p></sec><sec><title>Setting</title><p>A cross-sectional study using interview-administered questionnaires was conducted using multistage random sampling within urban and rural areas in Kilimanjaro Region, Tanzania.</p></sec><sec><title>Participants</title><p>Women aged 18–55 were asked to participate in the survey. The overall response rate was 97.5%, with a final sample of 303 rural and 272 urban dwelling women.</p></sec><sec><title>Primary and secondary outcome measures</title><p>Descriptive and simple test statistics were used to compare across rural and urban strata. Multivariate logistic regression models were used to estimate ORs and 95% CIs.</p></sec><sec><title>Results</title><p>Most women (82%) reported they had heard of cervical cancer, while self-reported cervical cancer screening among women was very low (6%). In urban areas, factors associated with screening were: older age (OR=4.14, 95% CI 1.86 to 9.24 for ages 40–49, and OR=8.38, 95% CI 2.10 to 33.4 for >50 years), having health insurance (OR=4.15, 95% CI 1.52 to 11.4), and having knowledge about cervical cancer (OR=5.81, 95% CI 1.58 to 21.4). In contrast, among women residing in rural areas, only condom use (OR=6.44, 95% CI 1.12 to 37.1) was associated with screening. Women from both rural and urban areas had low vaccine-related knowledge; however, most indicated they would be highly accepting if it were readily available (93%).</p></sec><sec><title>Conclusions</title><p>The current proportion of women screened for cervical cancer is very low in Kilimanjaro Region, and our study has identified several modifiable factors that could be addressed to increase screening rates. Although best implemented concurrently, the availability of prophylactic vaccination for girls may provide an effective means of prevention if they are unable to access screening in the future.</p></sec></abstract><kwd-group><kwd>HPV</kwd><kwd>Cervical Cancer</kwd><kwd>Vaccine</kwd><kwd>Africa</kwd><kwd>Acceptability</kwd></kwd-group></article-meta></front><body><boxed-text position="float" orientation="portrait"><caption><title>Strengths and limitations of this study</title></caption><list list-type="bullet"><list-item><p>This population-based sample was large and facilitated valid comparisons between rural and urban women in the Kilimanjaro region where cervical cancer is the leading cause of death.</p></list-item><list-item><p>Multivariable modelling was used to identify factors associated with being screened.</p></list-item><list-item><p>The survey results were self-reported and this may have compromised the validity of answers to sensitive questions.</p></list-item></list></boxed-text><sec sec-type="intro" id="s1"><title>Introduction</title><p>Cervical cancer is the third most common cancer among women worldwide, with approximately 500 000 new cases occurring annually.<xref rid="R1" ref-type="bibr">1</xref> Nearly 86% of these cases occur in low-income and middle-income countries.<xref rid="R1" ref-type="bibr">1</xref> In addition to the burden imposed by its high morbidity and mortality, the disease largely affects women in their childbearing years and leads to significant losses for communities.<xref rid="R2" ref-type="bibr">2</xref><xref rid="R3" ref-type="bibr">3</xref> Cervical cancer is the largest cause of potential years of life lost (PYLL) to cancer in the developing world, in some areas making a greater contribution to PYLL than competing diseases such as tuberculosis and AIDS.<xref rid="R4" ref-type="bibr">4</xref> Cervical cancer is preventable primarily through prophylactic HPV vaccination and screening for precancerous lesions.<xref rid="R5" ref-type="bibr">5</xref></p><p>The widespread use of the Papanicolau (Pap) screening test for over 50 years has progressively reduced the mortality of disease by 50–60% in high-resource countries.<xref rid="R6" ref-type="bibr">6</xref> However, in developing countries, due to inadequate personnel and deficiencies in health system infrastructure, cervical cancer prevention remains largely opportunistic, often relying on low-resource visual inspection methods using acetic acid (VIA), or Lugol's iodine (VILI) with a ‘see-and-treat’ same-day approach.<xref rid="R7" ref-type="bibr">7</xref> Reported uptake of even these screening services remains low, suggesting that there are barriers preventing women from being screened.<xref rid="R8" ref-type="bibr">8</xref><xref rid="R9" ref-type="bibr">9</xref></p><p>Infection with human papillomavirus (HPV) is a necessary though not sufficient cause of cervical cancer. HPV strains 16 and 18 are responsible for approximately 70% of invasive cervical cancer cases worldwide while types 6 and 11 are responsible for 90% of anogenital warts cases. A quadrivalent vaccine protecting against these four strains is commercially available from Merck & Co. (Gardasil) and a bivalent vaccine against the cervical cancer strains is available from GalxoSmithKline (Cervarix). Although organised cervical cancer screening and educational campaigns are recognised as important prevention methods for women today, combining these efforts with prophylactic vaccination of preadolescent girls is expected to substantially reduce the future burden of disease in low-resource countries.<xref rid="R10" ref-type="bibr">10</xref> Unfortunately, the cost of the three-dose series (nearly US$400) has made the vaccine largely unavailable to individuals who would be expected to benefit the most.</p><p>In Tanzania, cervical cancer is the most common female cancer with an estimated age-standardised incidence rate of 54 per 100 000 women per year, a rate nearly five times higher than the incidence rate of the next most common cancer among both sexes combined.<xref rid="R11" ref-type="bibr">11</xref> The comorbid epidemic of HIV/AIDS in the region and lack of screening has contributed to the high incidence of cervical cancer, and late detection and lack of treatment availability have resulted in a high cancer-related mortality rate of 32 per 100 000 women per year.<xref rid="R11" ref-type="bibr">11</xref></p><p>Formative research surrounding current screening practices and attitudes towards vaccination is important for the success of prevention programmes and acceptance of the vaccine.<xref rid="R12" ref-type="bibr">12</xref> In developed and developing countries, rural and urban regions tend to have different social and physical environments that contribute to differences in health outcomes. Inhabitants of rural regions are typically less able to access health services, an inequity that is particularly apparent in developing countries due to poorer overall healthcare infrastructure.<xref rid="R13" ref-type="bibr">13</xref> The purpose of this research was to determine the knowledge, attitudes and barriers toward cervical cancer screening as well as explore the acceptability and perceived barriers toward HPV vaccination in a population-based sample of rural and urban women living in the Kilimanjaro Region that has not been formally sensitised with an education programme.</p></sec><sec sec-type="methods" id="s2"><title>Methods</title><sec id="s2a"><title>Study design and data collection</title><p>A cross-sectional survey was conducted among women aged 18–55 years old in Moshi Rural and Moshi Urban, two districts in the Kilimanjaro Region of Tanzania. These districts were chosen in order to obtain representative samples of rural and urban living environments in the Kilimanjaro Region. A power calculation was used to estimate a required sample size of 300 women from both areas. The study questionnaire was designed in English, translated and interviewer-administered in Kiswahili, the official language of Tanzania. Questions included were modified from previous studies, newly designed using best survey practices by the research team, and guided by health behavioural theories to address the research objectives.<xref rid="R14" ref-type="bibr">14–16</xref> Back translation and cognitive interviewing with a translator were conducted after the questionnaire was translated to establish content validity and clarity. The questionnaire was pilot-tested among 60 women in Moshi Rural and revised to reflect the population's sociodemographics. Surveying took place on weekdays in May–July 2012, using a stratified multistage sampling strategy. Within each district, five wards were randomly selected, followed by random selection of three villages and systematic sampling (with replacement) of houses. If more than one woman was eligible in a house, a random selection was made. Trained Tanzanian female research assistants paired with study investigators gave a brief introduction to the purpose of the study before both voluntary oral and written consent was obtained. Participants received no incentive to participate and the questionnaire took approximately 30 min to complete. Most questions were closed-response, consisting of Likert-type scales or Yes/No/Don't Know response choices. Brief education on the location and function of the cervix was provided during the survey for women who said they had never heard the word before.</p><p>The questionnaire was divided into nine sections, covering health and sociodemographic factors; cervical cancer awareness/knowledge, attitudes and barriers; and vaccination awareness, attitudes and barriers. In order to clarify survey motives and reiterate confidentiality some sections had brief narratives that were read to participants. For example, before the vaccination sections the following was read: “Human Papillomavirus (HPV) can cause cervical cancer. HPV is not the same as HIV. Vaccines are medications given to prevent the development of disease or illness.”</p><p>Participants were considered to have an adequate knowledge of cervical cancer if they answered ‘yes’ to “Have you heard of (1) cancer and, (2) the cervix?” and “Have you heard of cervical cancer?” and ‘women’ to “Who can develop cervical cancer?” Awareness of cervical cancer was ‘yes’ to the question, “Have you heard of cervical cancer?” Acceptability of the HPV vaccine was evaluated by asking, “If the HPV vaccine became available in Tanzania, would you give permission for your daughter to receive it (or receive it yourself)?” (possible responses: definitely yes, probably yes, do not know, probably no and definitely no). For the purpose of this study, the outcome was conceptualised into a binomial response. Acceptors are those definitely accepting the vaccine (definitely yes (=1)) and those considered non-acceptors are those who gave less-accepting/hesitant responses (all other responses: probably yes, probably no, definitely no, don't know (=0)). The preamble to this question asked women to consider their daughters or hypothetical daughters/girls in the community, or if they were in the age range 10–25 they could answer considering themselves.</p></sec><sec id="s2b"><title>Statistical analysis</title><p>Rural and urban sample data were stratified a priori, and a purposeful selection strategy was used to select exploratory multivariable models identifying covariates that were independently associated with screening status.<xref rid="R17" ref-type="bibr">17</xref> Comparisons for rural and urban strata were conducted using Pearson's χ<sup>2</sup>, Cochran-Armitage test for trend (modified χ<sup>2</sup> for ordinal data) and Fisher's exact test (n<5). Wilcoxon rank-sum test was used to compare between rural and urban continuous, non-normally distributed variables. Generalised estimating equations with a logit link and exchangeable working correlation matrix were used to estimate ORs and 95% CIs while accounting for the clustering within villages. Bivariate associations were calculated and variables associated at p<0.25 were included in preliminary models and were subsequently removed until all remaining variables were significant, p<0.05. No variables had more than 5% missing data. Collinearity diagnostics and overall goodness-of-fit measures were assessed for each model. All statistical analyses were performed using SAS V.9.3 (SAS Institute Inc, Cary, North Carolina, USA).</p></sec></sec><sec sec-type="results" id="s3"><title>Results</title><p>The survey achieved a 97% and 98% response rate for rural and urban areas, respectively. Interviewer-reported validity and quality measures were collected for each survey, and those identified as invalid surveys by interviewers were excluded (n=11). Eight participants were excluded for being outside the targeted 18–55 age group and women were categorised based on their reported living environments rather than sampling location, leading to a final study sample size of 272 urban and 303 rural women.</p><sec id="s3a"><title>Sociodemographic and health characteristics of the sample</title><p>Characteristics of the participants are shown in <xref ref-type="table" rid="BMJOPEN2014005828TB1">table 1</xref>. Mean age was 34 years (SD: 9.7, range 18–55), and most were married (66%) and in monogamous relationships (96%). Urban women were younger, with greater education and higher socioeconomic status than women in rural areas. Most rural women (77%) worked as farmers, while most urban women (65%) worked or owned small businesses related to tourism, dining/restaurants and tailoring. Approximately 14% of women said that they had health insurance, with no differences between strata.</p><table-wrap id="BMJOPEN2014005828TB1" orientation="portrait" position="float"><label>Table 1</label><caption><p>Sociodemographic characteristics among rural and urban women in the study population</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col><col align="char" char="." span="1"></col><col align="char" char="." span="1"></col><col align="char" char="." span="1"></col><col align="char" char="." span="1"></col></colgroup><thead valign="bottom"><tr><th align="left" rowspan="1" colspan="1">Characteristic</th><th align="left" rowspan="1" colspan="1">Total (n=575) % (n)</th><th align="left" rowspan="1" colspan="1">Rural (n=303) % (n)</th><th align="left" rowspan="1" colspan="1">Urban (n=272) % (n)</th><th align="left" rowspan="1" colspan="1">p Value</th></tr></thead><tbody><tr><td colspan="5" rowspan="1">Age</td></tr><tr><td rowspan="1" colspan="1"> Mean (±SD)</td><td rowspan="1" colspan="1">33.8 (9.7)</td><td rowspan="1" colspan="1">36.2 (9.7)</td><td rowspan="1" colspan="1">31.2 (8.9)</td><td rowspan="1" colspan="1"><0.001*</td></tr><tr><td rowspan="1" colspan="1"> <30</td><td rowspan="1" colspan="1">38.0 (215)</td><td rowspan="1" colspan="1">27.5 (82)</td><td rowspan="1" colspan="1">49.6 (133)</td><td rowspan="1" colspan="1"><0.001†</td></tr><tr><td rowspan="1" colspan="1"> 30–39</td><td rowspan="1" colspan="1">32.9 (186)</td><td rowspan="1" colspan="1">34.2 (102)</td><td rowspan="1" colspan="1">31.3 (84)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> 40–49</td><td rowspan="1" colspan="1">21.4 (121)</td><td rowspan="1" colspan="1">26.9 (80)</td><td rowspan="1" colspan="1">15.3 (41)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> ≥50</td><td rowspan="1" colspan="1">7.8 (44)</td><td rowspan="1" colspan="1">11.4 (34)</td><td rowspan="1" colspan="1">3.7 (10)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Marital status</td></tr><tr><td rowspan="1" colspan="1"> Single</td><td rowspan="1" colspan="1">13.7 (78)</td><td rowspan="1" colspan="1">10.3 (31)</td><td rowspan="1" colspan="1">17.6 (47)</td><td rowspan="1" colspan="1"><0.001†</td></tr><tr><td rowspan="1" colspan="1"> Partner</td><td rowspan="1" colspan="1">8.6 (49)</td><td rowspan="1" colspan="1">4.3 (13)</td><td rowspan="1" colspan="1">13.5 (36)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> Married</td><td rowspan="1" colspan="1">65.6 (373)</td><td rowspan="1" colspan="1">74.2 (224)</td><td rowspan="1" colspan="1">55.8 (149)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> Separated</td><td rowspan="1" colspan="1">6.7 (38)</td><td rowspan="1" colspan="1">4.6 (14)</td><td rowspan="1" colspan="1">9.0 (24)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> Divorced</td><td rowspan="1" colspan="1">0.4 (2)</td><td rowspan="1" colspan="1">0.7 (2)</td><td rowspan="1" colspan="1">0.0 (0)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> Widow</td><td rowspan="1" colspan="1">5.1 (29)</td><td rowspan="1" colspan="1">6.0 (18)</td><td rowspan="1" colspan="1">4.1 (11)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Partnership type</td></tr><tr><td rowspan="1" colspan="1"> Monogamy</td><td rowspan="1" colspan="1">95.8 (406)</td><td rowspan="1" colspan="1">97.7 (31)</td><td rowspan="1" colspan="1">92.8 (47)</td><td rowspan="1" colspan="1">0.015†</td></tr><tr><td rowspan="1" colspan="1"> Polygamy</td><td rowspan="1" colspan="1">4.3 (18)</td><td rowspan="1" colspan="1">2.3 (6)</td><td rowspan="1" colspan="1">7.2 (12)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Religion</td></tr><tr><td rowspan="1" colspan="1"> Christian</td><td rowspan="1" colspan="1">82.9 (474)</td><td rowspan="1" colspan="1">95.0 (287)</td><td rowspan="1" colspan="1">69.3 (187)</td><td rowspan="1" colspan="1"><0.001†</td></tr><tr><td rowspan="1" colspan="1"> Muslim</td><td rowspan="1" colspan="1">17.1 (98)</td><td rowspan="1" colspan="1">5.0 (15)</td><td rowspan="1" colspan="1">30.7 (83)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Culture</td></tr><tr><td rowspan="1" colspan="1"> Chagga</td><td rowspan="1" colspan="1">68.2 (391)</td><td rowspan="1" colspan="1">84.8 (256)</td><td rowspan="1" colspan="1">49.8 (135)</td><td rowspan="1" colspan="1"><0.001†</td></tr><tr><td rowspan="1" colspan="1"> Pare</td><td rowspan="1" colspan="1">12.4 (71)</td><td rowspan="1" colspan="1">5.6 (17)</td><td rowspan="1" colspan="1">19.9 (54)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> Other</td><td rowspan="1" colspan="1">19.4 (111)</td><td rowspan="1" colspan="1">9.6 (29)</td><td rowspan="1" colspan="1">30.3 (82)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Monthly household income (TSH)</td></tr><tr><td rowspan="1" colspan="1"> <20 000</td><td rowspan="1" colspan="1">42.7 (241)</td><td rowspan="1" colspan="1">62.2 (184)</td><td rowspan="1" colspan="1">21.2 (57)</td><td rowspan="1" colspan="1"><0.001‡</td></tr><tr><td rowspan="1" colspan="1"> 20 000–39 999</td><td rowspan="1" colspan="1">22.5 (127)</td><td rowspan="1" colspan="1">22.6 (67)</td><td rowspan="1" colspan="1">22.3 (60)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> 40 000–59 999</td><td rowspan="1" colspan="1">11.2 (63)</td><td rowspan="1" colspan="1">7.4 (22)</td><td rowspan="1" colspan="1">15.2 (41)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> 60 000–79 999</td><td rowspan="1" colspan="1">4.4 (25)</td><td rowspan="1" colspan="1">0.7 (2)</td><td rowspan="1" colspan="1">8.6 (23)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> 80 000–99 999</td><td rowspan="1" colspan="1">3.2 (18)</td><td rowspan="1" colspan="1">1.7 (5)</td><td rowspan="1" colspan="1">4.8 (13)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> ≥100 000</td><td rowspan="1" colspan="1">16.1 (91)</td><td rowspan="1" colspan="1">5.4 (16)</td><td rowspan="1" colspan="1">27.9 (75)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Occupation</td></tr><tr><td rowspan="1" colspan="1"> Housewife/farmer</td><td rowspan="1" colspan="1">51.0 (284)</td><td rowspan="1" colspan="1">76.6 (226)</td><td rowspan="1" colspan="1">22.1 (58)</td><td rowspan="1" colspan="1"><0.001§</td></tr><tr><td rowspan="1" colspan="1"> Small business</td><td rowspan="1" colspan="1">38.4 (214)</td><td rowspan="1" colspan="1">15.0 (44)</td><td rowspan="1" colspan="1">64.6 (170)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> Professional</td><td rowspan="1" colspan="1">2.0 (11)</td><td rowspan="1" colspan="1">1.4 (4)</td><td rowspan="1" colspan="1">2.7 (7)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> Student</td><td rowspan="1" colspan="1">4.3 (24)</td><td rowspan="1" colspan="1">4.1 (12)</td><td rowspan="1" colspan="1">4.6 (12)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> Teacher</td><td rowspan="1" colspan="1">2.3 (13)</td><td rowspan="1" colspan="1">1.7 (5)</td><td rowspan="1" colspan="1">3.0 (8)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> Health professional</td><td rowspan="1" colspan="1">2.0 (11)</td><td rowspan="1" colspan="1">1.0 (3)</td><td rowspan="1" colspan="1">3.0 (8)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Educational attainment</td></tr><tr><td rowspan="1" colspan="1"> Primary or less</td><td rowspan="1" colspan="1">8.4 (48)</td><td rowspan="1" colspan="1">10.9 (33)</td><td rowspan="1" colspan="1">5.5 (15)</td><td rowspan="1" colspan="1"><0.001‡</td></tr><tr><td rowspan="1" colspan="1"> Secondary (to Form 4)</td><td rowspan="1" colspan="1">65.8 (377)</td><td rowspan="1" colspan="1">74.5 (225)</td><td rowspan="1" colspan="1">56.1 (152)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> Secondary complete</td><td rowspan="1" colspan="1">21.6 (124)</td><td rowspan="1" colspan="1">11.9 (36)</td><td rowspan="1" colspan="1">32.5 (88)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> College/University</td><td rowspan="1" colspan="1">4.2 (24)</td><td rowspan="1" colspan="1">2.7 (8)</td><td rowspan="1" colspan="1">5.9 (16)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Health insurance</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">86.0 (485)</td><td rowspan="1" colspan="1">85.8 (254)</td><td rowspan="1" colspan="1">86.2 (231)</td><td rowspan="1" colspan="1">0.896†</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">14.0 (79)</td><td rowspan="1" colspan="1">14.2 (42)</td><td rowspan="1" colspan="1">13.8 (37)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Number of births</td></tr><tr><td rowspan="1" colspan="1"> Mean (±SD)</td><td rowspan="1" colspan="1">2.7 (2.1)</td><td rowspan="1" colspan="1">3.5 (2.2)</td><td rowspan="1" colspan="1">1.9 (1.5)</td><td rowspan="1" colspan="1"><0.001*</td></tr><tr><td rowspan="1" colspan="1"> None</td><td rowspan="1" colspan="1">14.7 (84)</td><td rowspan="1" colspan="1">7.6 (23)</td><td rowspan="1" colspan="1">22.6 (61)</td><td rowspan="1" colspan="1"><0.001‡</td></tr><tr><td rowspan="1" colspan="1"> 1–2</td><td rowspan="1" colspan="1">36.8 (211)</td><td rowspan="1" colspan="1">30.7 (93)</td><td rowspan="1" colspan="1">43.7 (118)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> 3–4</td><td rowspan="1" colspan="1">31.1 (178)</td><td rowspan="1" colspan="1">34.3 (104)</td><td rowspan="1" colspan="1">27.4 (74)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> >4</td><td rowspan="1" colspan="1">17.5 (100)</td><td rowspan="1" colspan="1">27.4 (83)</td><td rowspan="1" colspan="1">6.3 (17)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Daughter aged 10–25</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">60.4 (347)</td><td rowspan="1" colspan="1">51.5 (156)</td><td rowspan="1" colspan="1">70.2 (191)</td><td rowspan="1" colspan="1"><0.001†</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">39.7 (228)</td><td rowspan="1" colspan="1">48.5 (147)</td><td rowspan="1" colspan="1">29.8 (81)</td><td rowspan="1" colspan="1"></td></tr></tbody></table><table-wrap-foot><fn><p>*Wilcoxon rank-sum test.</p></fn><fn><p>†Pearson's χ<sup>2</sup> test.</p></fn><fn><p>‡Cochran-Armitage test for trend.</p></fn><fn><p>§Fisher's exact test.</p></fn></table-wrap-foot></table-wrap><p>Health characteristics of participants are shown in <xref ref-type="table" rid="BMJOPEN2014005828TB2">table 2</xref>. Most women rated their health status as ‘Fair’ or ‘Good’, very few were smokers, and 1% reported themselves HIV positive. More women in the rural stratum reported ever having intercourse, although the mean age of sexual debut at about age 20 years was not different for rural and urban women. The majority (69% rural and 59% urban) reported to only have had one sexual partner in their lifetime.</p><table-wrap id="BMJOPEN2014005828TB2" orientation="portrait" position="float"><label>Table 2</label><caption><p>Health characteristics among rural and urban women in the study population</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col><col align="char" char="(" span="1"></col><col align="char" char="(" span="1"></col><col align="char" char="(" span="1"></col><col align="char" char="." span="1"></col></colgroup><thead valign="bottom"><tr><th align="left" rowspan="1" colspan="1">Characteristic</th><th align="left" rowspan="1" colspan="1">Total (n=575) % (n)</th><th align="left" rowspan="1" colspan="1">Rural (n=303) % (n)</th><th align="left" rowspan="1" colspan="1">Urban (n=272) % (n)</th><th align="left" rowspan="1" colspan="1">p Value</th></tr></thead><tbody><tr><td colspan="5" rowspan="1">Self-reported health status</td></tr><tr><td rowspan="1" colspan="1"> Excellent</td><td rowspan="1" colspan="1">3.2 (18)</td><td rowspan="1" colspan="1">2.7 (8)</td><td rowspan="1" colspan="1">3.7 (10)</td><td rowspan="1" colspan="1">0.001*</td></tr><tr><td rowspan="1" colspan="1"> Very good</td><td rowspan="1" colspan="1">6.4 (36)</td><td rowspan="1" colspan="1">6.7 (20)</td><td rowspan="1" colspan="1">5.9 (16)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> Good</td><td rowspan="1" colspan="1">34.7 (197)</td><td rowspan="1" colspan="1">26.3 (78)</td><td rowspan="1" colspan="1">44.1 (119)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> Fair</td><td rowspan="1" colspan="1">51.3 (291)</td><td rowspan="1" colspan="1">58.6 (174)</td><td rowspan="1" colspan="1">43.3 (117)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> Poor</td><td rowspan="1" colspan="1">4.4 (25)</td><td rowspan="1" colspan="1">5.7 (17)</td><td rowspan="1" colspan="1">3.0 (8)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Smoker</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">99.1 (564)</td><td rowspan="1" colspan="1">99.3 (298)</td><td rowspan="1" colspan="1">98.9 (266)</td><td rowspan="1" colspan="1">0.671†</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">0.9 (5)</td><td rowspan="1" colspan="1">0.7 (2)</td><td rowspan="1" colspan="1">1.1 (3)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">HIV positive</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">99.0 (567)</td><td rowspan="1" colspan="1">99.3 (300)</td><td rowspan="1" colspan="1">98.5 (267)</td><td rowspan="1" colspan="1">0.429†</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">0.9 (5)</td><td rowspan="1" colspan="1">0.7 (2)</td><td rowspan="1" colspan="1">1.1 (3)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Currently using contraception (any)</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">57.5 (319)</td><td rowspan="1" colspan="1">55.6 (164)</td><td rowspan="1" colspan="1">59.6 (155)</td><td rowspan="1" colspan="1">0.339‡</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">42.5 (236)</td><td rowspan="1" colspan="1">44.4 (131)</td><td rowspan="1" colspan="1">40.4 (105)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Ever had intercourse</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">7.0 (40)</td><td rowspan="1" colspan="1">3.3 (10)</td><td rowspan="1" colspan="1">11.1 (30)</td><td rowspan="1" colspan="1"><0.001‡</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">93.0 (533)</td><td rowspan="1" colspan="1">96.7 (292)</td><td rowspan="1" colspan="1">88.9 (241)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Age of sexual debut</td></tr><tr><td rowspan="1" colspan="1"> Mean (±SD)</td><td rowspan="1" colspan="1">19.8 (3.2)</td><td rowspan="1" colspan="1">19.6 (3.2)</td><td rowspan="1" colspan="1">19.9 (3.3)</td><td rowspan="1" colspan="1">0.794§</td></tr><tr><td rowspan="1" colspan="1"> <16</td><td rowspan="1" colspan="1">6.4 (32)</td><td rowspan="1" colspan="1">6.5 (18)</td><td rowspan="1" colspan="1">6.5 (14)</td><td rowspan="1" colspan="1">0.973‡</td></tr><tr><td rowspan="1" colspan="1"> 16–23</td><td rowspan="1" colspan="1">82.1 (409)</td><td rowspan="1" colspan="1">82.4 (229)</td><td rowspan="1" colspan="1">81.8 (180)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> ≥24</td><td rowspan="1" colspan="1">11.5 (57)</td><td rowspan="1" colspan="1">11.2 (31)</td><td rowspan="1" colspan="1">11.8 (26)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Lifetime number of sexual partners</td></tr><tr><td rowspan="1" colspan="1"> None</td><td rowspan="1" colspan="1">7.2 (41)</td><td rowspan="1" colspan="1">3.3 (10)</td><td rowspan="1" colspan="1">11.7 (31)</td><td rowspan="1" colspan="1">0.201*</td></tr><tr><td rowspan="1" colspan="1"> 1</td><td rowspan="1" colspan="1">64.1 (363)</td><td rowspan="1" colspan="1">68.8 (207)</td><td rowspan="1" colspan="1">58.9 (156)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> 2–3</td><td rowspan="1" colspan="1">25.6 (145)</td><td rowspan="1" colspan="1">24.9 (75)</td><td rowspan="1" colspan="1">26.4 (70)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> ≥4</td><td rowspan="1" colspan="1">3.0 (17)</td><td rowspan="1" colspan="1">3.0 (9)</td><td rowspan="1" colspan="1">3.0 (8)</td><td rowspan="1" colspan="1"></td></tr></tbody></table><table-wrap-foot><fn><p>*Cochran-Armitage test for trend.</p></fn><fn><p>†Fisher's exact test.</p></fn><fn><p>‡Pearson's χ<sup>2</sup> test.</p></fn><fn><p>§Wilcoxon rank-sum test.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3b"><title>Knowledge, attitudes and beliefs toward screening and vaccination among rural and urban women</title><p>As presented in <xref ref-type="table" rid="BMJOPEN2014005828TB3">table 3</xref>, few women had ever been previously screened for cervical cancer (4% rural, 9% urban), while acceptability of screening among never-screened women was very high (90%). Of these women, a large proportion would be willing to travel over 2 h to access a screening clinic, and this proportion was significantly higher in the rural group than in the urban group (60% vs 49%, p<0.001). Many thought that cervical cancer was fatal, with significant differences between strata (91% rural, 83% urban, p=0.004), and fewer thought that cervical cancer could be treated (63% rural, 67% urban, p=0.32). There was a significant difference (p=0.02) in perception of their own personal risk for cervical cancer among strata (62% rural, 71% urban).</p><table-wrap id="BMJOPEN2014005828TB3" orientation="portrait" position="float"><label>Table 3</label><caption><p>Cervical cancer knowledge and attitudes among rural and urban women in the study population</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col><col align="char" char="(" span="1"></col><col align="char" char="(" span="1"></col><col align="char" char="(" span="1"></col><col align="char" char="." span="1"></col></colgroup><thead valign="bottom"><tr><th align="left" rowspan="1" colspan="1">Variable</th><th align="left" rowspan="1" colspan="1">Total (n=575) % (n)</th><th align="left" rowspan="1" colspan="1">Rural (n=303) % (n)</th><th align="left" rowspan="1" colspan="1">Urban (n=272) % (n)</th><th align="left" rowspan="1" colspan="1">p Value*<sup></sup></th></tr></thead><tbody><tr><td colspan="5" rowspan="1">Aware of the disease†</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">17.6 (101)</td><td rowspan="1" colspan="1">17.5 (53)</td><td rowspan="1" colspan="1">17.7 (48)</td><td rowspan="1" colspan="1">0.96</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">82.4 (474)</td><td rowspan="1" colspan="1">82.5 (250)</td><td rowspan="1" colspan="1">82.4 (224)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Source of awareness</td></tr><tr><td rowspan="1" colspan="1"> Church</td><td rowspan="1" colspan="1">8.44 (40)</td><td rowspan="1" colspan="1">13.6 (34)</td><td rowspan="1" colspan="1">2.68 (6)</td><td rowspan="1" colspan="1"><0.001</td></tr><tr><td rowspan="1" colspan="1"> Family/friend</td><td rowspan="1" colspan="1">20.5 (97)</td><td rowspan="1" colspan="1">20.4 (51)</td><td rowspan="1" colspan="1">20.5 (46)</td><td rowspan="1" colspan="1">0.97</td></tr><tr><td rowspan="1" colspan="1"> Healthcare</td><td rowspan="1" colspan="1">12.7 (60)</td><td rowspan="1" colspan="1">13.6 (34)</td><td rowspan="1" colspan="1">11.6 (26)</td><td rowspan="1" colspan="1">0.51</td></tr><tr><td rowspan="1" colspan="1"> Studies</td><td rowspan="1" colspan="1">1.27 (6)</td><td rowspan="1" colspan="1">0.80 (2)</td><td rowspan="1" colspan="1">1.79 (224)</td><td rowspan="1" colspan="1">0.43‡</td></tr><tr><td rowspan="1" colspan="1"> Newspaper</td><td rowspan="1" colspan="1">12.7 (60)</td><td rowspan="1" colspan="1">10.8 (27)</td><td rowspan="1" colspan="1">14.7 (33)</td><td rowspan="1" colspan="1">0.20</td></tr><tr><td rowspan="1" colspan="1"> Radio</td><td rowspan="1" colspan="1">72.8 (345)</td><td rowspan="1" colspan="1">80.4 (201)</td><td rowspan="1" colspan="1">64.3 (144)</td><td rowspan="1" colspan="1"><0.001</td></tr><tr><td rowspan="1" colspan="1"> Television</td><td rowspan="1" colspan="1">22.2 (105)</td><td rowspan="1" colspan="1">8.00 (20)</td><td rowspan="1" colspan="1">40.0 (85)</td><td rowspan="1" colspan="1"><0.001</td></tr><tr><td colspan="5" rowspan="1">Adequate knowledge cervical cancer†</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">86.9 (411)</td><td rowspan="1" colspan="1">91.2 (277)</td><td rowspan="1" colspan="1">82.1 (184)</td><td rowspan="1" colspan="1"><0.001</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">13.1 (62)</td><td rowspan="1" colspan="1">8.82 (22)</td><td rowspan="1" colspan="1">17.9 (40)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Known someone with cervical cancer</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">73.8 (417)</td><td rowspan="1" colspan="1">71.7 (213)</td><td rowspan="1" colspan="1">76.1 (204)</td><td rowspan="1" colspan="1">0.235</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">26.2 (148)</td><td rowspan="1" colspan="1">28.3 (84)</td><td rowspan="1" colspan="1">23.9 (64)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Ever screened for cervical cancer</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">93.7 (538)</td><td rowspan="1" colspan="1">95.7 (290)</td><td rowspan="1" colspan="1">91.5 (248)</td><td rowspan="1" colspan="1">0.040</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">6.8 (39)</td><td rowspan="1" colspan="1">4.3 (13)</td><td rowspan="1" colspan="1">8.5 (23)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">If not, would accept cervical cancer screening</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">10.2 (55)</td><td rowspan="1" colspan="1">10.9 (32)</td><td rowspan="1" colspan="1">9.4 (23)</td><td rowspan="1" colspan="1">0.557</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">89.8 (485)</td><td rowspan="1" colspan="1">89.1 (262)</td><td rowspan="1" colspan="1">90.7 (223)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Max distance willing to travel</td></tr><tr><td rowspan="1" colspan="1"> <30 min</td><td rowspan="1" colspan="1">18.5 (72)</td><td rowspan="1" colspan="1">16.7 (35)</td><td rowspan="1" colspan="1">20.7 (37)</td><td rowspan="1" colspan="1"><0.01</td></tr><tr><td rowspan="1" colspan="1"> 1 h</td><td rowspan="1" colspan="1">26.5 (103)</td><td rowspan="1" colspan="1">23.3 (49)</td><td rowspan="1" colspan="1">30.2 (54)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> ≥2 h</td><td rowspan="1" colspan="1">55.0 (214)</td><td rowspan="1" colspan="1">60.0 (126)</td><td rowspan="1" colspan="1">49.2 (88)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Believes cervical cancer is fatal</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">12.8 (73)</td><td rowspan="1" colspan="1">9.0 (27)</td><td rowspan="1" colspan="1">17.0 (46)</td><td rowspan="1" colspan="1">0.004</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">87.2 (498)</td><td rowspan="1" colspan="1">91.0 (273)</td><td rowspan="1" colspan="1">83.0 (225)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Believes cervical cancer can be treated</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">34.9 (197)</td><td rowspan="1" colspan="1">36.9 (108)</td><td rowspan="1" colspan="1">32.8 (89)</td><td rowspan="1" colspan="1">0.317</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">65.1 (367)</td><td rowspan="1" colspan="1">63.1 (185)</td><td rowspan="1" colspan="1">67.2 (182)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Believes they are at risk for cervical cancer</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">33.4 (192)</td><td rowspan="1" colspan="1">37.6 (114)</td><td rowspan="1" colspan="1">28.7 (78)</td><td rowspan="1" colspan="1">0.023</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">66.6 (383)</td><td rowspan="1" colspan="1">62.4 (189)</td><td rowspan="1" colspan="1">71.3 (194)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Believes their daughter is at risk for cervical cancer</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">35.1 (80)</td><td rowspan="1" colspan="1">38.8 (57)</td><td rowspan="1" colspan="1">28.4 (23)</td><td rowspan="1" colspan="1">0.116</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">64.9 (148)</td><td rowspan="1" colspan="1">61.2 (90)</td><td rowspan="1" colspan="1">71.6 (58)</td><td rowspan="1" colspan="1"></td></tr></tbody></table><table-wrap-foot><fn><p>*Pearson's χ<sup>2</sup>.</p></fn><fn><p>†Adequate knowledge of cervical cancer was ‘yes’ to “Have you heard of (1) cancer and, (2) the cervix?” and “Have you heard of cervical cancer?” and ‘women’ to “Who can develop cervical cancer?” Awareness of cervical cancer was ‘yes’ to “Have you heard of cervical cancer?”</p></fn><fn><p>‡Fisher's exact test.</p></fn></table-wrap-foot></table-wrap><p>The primary source of cervical cancer awareness was through the media, with 73%, 22% and 13% indicating the radio, television and newspaper, respectively. A higher proportion of rural women had heard of cervical cancer through the radio, while television was a more frequent source for urban women. Word-of-mouth was also a common route of information (21%) and awareness through church members was more often reported by rural women. Relatively few women had heard of cervical cancer from a healthcare provider (13%), and far fewer had heard of it through their education or schooling (1%). Almost 30% of women had ever directly known someone with cervical cancer, which was similar among rural and urban women.</p><p>Few women had heard of the HPV vaccine, with significant differences in the proportion between rural and urban strata (<xref ref-type="table" rid="BMJOPEN2014005828TB4">table 4</xref>). Of those that had heard of the vaccine, the majority had awareness through the radio (70%), television (20%) or healthcare interactions (12%). Despite low awareness, most believed (80%) that their friends or family would support HPV vaccination. A similar proportion believed that they would have access to clinics or doctors to receive the vaccination, although this was significantly different (p=0.03) between rural and urban women (75% and 83%, respectively). In terms of general vaccination attitudes, nearly all women (98%) believed that vaccinations were beneficial, and a moderate proportion (65%) were willing to pay for vaccines if they were not offered free. Women were willing to travel to receive vaccinations, with many women agreeing to travel for longer than 2 h (55% rural, 42% urban).</p><table-wrap id="BMJOPEN2014005828TB4" orientation="portrait" position="float"><label>Table 4</label><caption><p>Human papillomavirus (HPV) knowledge and attitudes among rural and urban women in the study population</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col><col align="char" char="(" span="1"></col><col align="char" char="(" span="1"></col><col align="char" char="(" span="1"></col><col align="char" char="." span="1"></col></colgroup><thead valign="bottom"><tr><th align="left" rowspan="1" colspan="1">Variable</th><th align="left" rowspan="1" colspan="1">Total (n=575) % (n)</th><th align="left" rowspan="1" colspan="1">Rural (n=303) % (n)</th><th align="left" rowspan="1" colspan="1">Urban (n=272) % (n)</th><th align="left" rowspan="1" colspan="1">p Value*</th></tr></thead><tbody><tr><td colspan="5" rowspan="1">Heard of the HPV vaccine</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">91.0 (523)</td><td rowspan="1" colspan="1">88.5 (268)</td><td rowspan="1" colspan="1">93.8 (255)</td><td rowspan="1" colspan="1">0.027</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">9.0 (52)</td><td rowspan="1" colspan="1">11.6 (35)</td><td rowspan="1" colspan="1">6.3 (17)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Willing to definitely accept the HPV vaccine</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">6.8 (39)</td><td rowspan="1" colspan="1">7.0 (21)</td><td rowspan="1" colspan="1">6.6 (18)</td><td rowspan="1" colspan="1">0.904</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">93.1 (532)</td><td rowspan="1" colspan="1">93.0 (280)</td><td rowspan="1" colspan="1">93.3 (252)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Believes husband/partner will definitely accept HPV vaccine</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">36.3 (205)</td><td rowspan="1" colspan="1">37.9 (113)</td><td rowspan="1" colspan="1">34.3 (92)</td><td rowspan="1" colspan="1">0.375</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">63.8 (361)</td><td rowspan="1" colspan="1">62.1 (185)</td><td rowspan="1" colspan="1">65.7 (176)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Believes family/friends will support the HPV vaccine</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">19.9 (114)</td><td rowspan="1" colspan="1">21.6 (65)</td><td rowspan="1" colspan="1">18.1 (49)</td><td rowspan="1" colspan="1">0.294</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">80.1 (458)</td><td rowspan="1" colspan="1">78.4 (236)</td><td rowspan="1" colspan="1">81.9 (222)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Believes they are able to access a clinic/doctor for vaccination</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">21.0 (120)</td><td rowspan="1" colspan="1">24.6 (74)</td><td rowspan="1" colspan="1">17.0 (46)</td><td rowspan="1" colspan="1">0.027</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">79.0 (451)</td><td rowspan="1" colspan="1">75.4 (227)</td><td rowspan="1" colspan="1">83.0 (224)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Believes vaccines are beneficial</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">1.6 (9)</td><td rowspan="1" colspan="1">1.0 (3)</td><td rowspan="1" colspan="1">2.2 (6)</td><td rowspan="1" colspan="1">0.319†</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">98.4 (564)</td><td rowspan="1" colspan="1">99.0 (299)</td><td rowspan="1" colspan="1">97.8 (265)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Willing to pay for vaccines</td></tr><tr><td rowspan="1" colspan="1"> No</td><td rowspan="1" colspan="1">35.2 (201)</td><td rowspan="1" colspan="1">33.9 (102)</td><td rowspan="1" colspan="1">36.7 (99)</td><td rowspan="1" colspan="1">0.488</td></tr><tr><td rowspan="1" colspan="1"> Yes</td><td rowspan="1" colspan="1">64.8 (370)</td><td rowspan="1" colspan="1">66.0 (199)</td><td rowspan="1" colspan="1">63.3 (171)</td><td rowspan="1" colspan="1"></td></tr><tr><td colspan="5" rowspan="1">Max. time willing to travel for vaccination</td></tr><tr><td rowspan="1" colspan="1"> <30 min</td><td rowspan="1" colspan="1">25.7 (146)</td><td rowspan="1" colspan="1">20.8 (62)</td><td rowspan="1" colspan="1">31.1 (84)</td><td rowspan="1" colspan="1"><0.001<sup>‡</sup></td></tr><tr><td rowspan="1" colspan="1"> 1 h</td><td rowspan="1" colspan="1">25.7 (146)</td><td rowspan="1" colspan="1">24.2 (72)</td><td rowspan="1" colspan="1">27.4 (74)</td><td rowspan="1" colspan="1"></td></tr><tr><td rowspan="1" colspan="1"> ≥2 h</td><td rowspan="1" colspan="1">48.6 (276)</td><td rowspan="1" colspan="1">55.0 (164)</td><td rowspan="1" colspan="1">41.5 (112)</td><td rowspan="1" colspan="1"></td></tr></tbody></table><table-wrap-foot><fn><p>*Pearson's χ<sup>2</sup>.</p></fn><fn><p>†Fisher's exact test.</p></fn><fn><p>‡Cochran-Armitage test for trend.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3c"><title>Perceived barriers to cervical cancer screening and HPV vaccination among rural and urban women</title><p>Women were asked to select all reasons why they had not yet been screened for cervical cancer (<xref ref-type="table" rid="BMJOPEN2014005828TB5">table 5</xref>). The largest barrier reported by women was being unaware that preventative screening tests exist (67%). In addition, about half anticipated not being able to afford the test or the travel costs associated with it, and a quarter considered the opportunity cost of taking time off work to be a barrier. Travel distance to healthcare facilities was also a prohibitive factor and was more frequently reported among rural than urban women (27% vs 12%, p<0.001). The greatest concern (50% rural, 46% urban, p=0.40) among women regarding the HPV vaccine was the perceived costs associated with the vaccination. This was followed by shared concerns among women in strata regarding the unknown future side effects (41%), short-term side effects (20%), safety of the vaccine's administration (19%), social acceptability (16%), availability (13%), effectiveness (11%) and conformity with religious beliefs (6%). The concern of promiscuity/encouragement of early sex was significantly different between strata (p<0.001), with more women in rural areas concerned. Significantly more women in rural areas were also concerned about previous testing of the vaccine's safety as compared to urban women (11% rural, 6% urban, p=0.03).</p><table-wrap id="BMJOPEN2014005828TB5" orientation="portrait" position="float"><label>Table 5</label><caption><p>Self-reported barriers or concerns toward cervical cancer screening and HPV vaccination among rural and urban women in the study population</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col><col align="char" char="(" span="1"></col><col align="char" char="(" span="1"></col><col align="char" char="(" span="1"></col><col align="char" char="." span="1"></col></colgroup><thead valign="bottom"><tr><th align="left" rowspan="1" colspan="1">Barrier or concern</th><th align="left" rowspan="1" colspan="1">Total (n=478) % (n)</th><th align="left" rowspan="1" colspan="1">Rural (n=258) % (n)</th><th align="left" rowspan="1" colspan="1">Urban (n=220) % (n)</th><th align="left" rowspan="1" colspan="1">p Value*</th></tr></thead><tbody><tr><td colspan="5" rowspan="1">Cervical cancer screening</td></tr><tr><td rowspan="1" colspan="1"> Unaware of screening tests</td><td rowspan="1" colspan="1">66.5 (322)</td><td rowspan="1" colspan="1">63.4 (166)</td><td rowspan="1" colspan="1">70.3 (156)</td><td rowspan="1" colspan="1">0.108†</td></tr><tr><td rowspan="1" colspan="1"> Cannot take time off work</td><td rowspan="1" colspan="1">25.6 (124)</td><td rowspan="1" colspan="1">25.6 (67)</td><td rowspan="1" colspan="1">25.7 (57)</td><td rowspan="1" colspan="1">0.979†</td></tr><tr><td rowspan="1" colspan="1"> Other priorities in household</td><td rowspan="1" colspan="1">3.72 (18)</td><td rowspan="1" colspan="1">6.11 (16)</td><td rowspan="1" colspan="1">0.90 (2)</td><td rowspan="1" colspan="1">0.003‡</td></tr><tr><td rowspan="1" colspan="1"> Husband would not approve</td><td rowspan="1" colspan="1">4.13 (20)</td><td rowspan="1" colspan="1">5.75 (15)</td><td rowspan="1" colspan="1">2.25 (5)</td><td rowspan="1" colspan="1">0.067‡</td></tr><tr><td rowspan="1" colspan="1"> Does not have someone to go with</td><td rowspan="1" colspan="1">7.02 (34)</td><td rowspan="1" colspan="1">8.78 (23)</td><td rowspan="1" colspan="1">4.95 (11)</td><td rowspan="1" colspan="1">0.101†</td></tr><tr><td rowspan="1" colspan="1"> Cannot afford to pay for a test</td><td rowspan="1" colspan="1">49.3 (239)</td><td rowspan="1" colspan="1">48.3 (127)</td><td rowspan="1" colspan="1">50.5 (112)</td><td rowspan="1" colspan="1">0.635†</td></tr><tr><td rowspan="1" colspan="1"> Travel distance is too far</td><td rowspan="1" colspan="1">20.0 (97)</td><td rowspan="1" colspan="1">26.6 (70)</td><td rowspan="1" colspan="1">12.2 (27)</td><td rowspan="1" colspan="1"><0.001†</td></tr><tr><td colspan="5" rowspan="1">HPV vaccination§</td></tr><tr><td rowspan="1" colspan="1"> Safety of the vaccine's administration</td><td rowspan="1" colspan="1">19.1 (110)</td><td rowspan="1" colspan="1">18.8 (57)</td><td rowspan="1" colspan="1">19.5 (53)</td><td rowspan="1" colspan="1">0.840†</td></tr><tr><td rowspan="1" colspan="1"> Short-term side effects</td><td rowspan="1" colspan="1">19.7 (113)</td><td rowspan="1" colspan="1">18.2 (55)</td><td rowspan="1" colspan="1">21.3 (58)</td><td rowspan="1" colspan="1">0.339†</td></tr><tr><td rowspan="1" colspan="1"> Unknown future side effects</td><td rowspan="1" colspan="1">40.7 (234)</td><td rowspan="1" colspan="1">42.2 (128)</td><td rowspan="1" colspan="1">39.0 (106)</td><td rowspan="1" colspan="1">0.425†</td></tr><tr><td rowspan="1" colspan="1"> Risk of encouraging earlier sex</td><td rowspan="1" colspan="1">14.3 (82)</td><td rowspan="1" colspan="1">19.8 (60)</td><td rowspan="1" colspan="1">8.1 (22)</td><td rowspan="1" colspan="1"><0.001†</td></tr><tr><td rowspan="1" colspan="1"> Conformity with religious beliefs</td><td rowspan="1" colspan="1">6.3 (36)</td><td rowspan="1" colspan="1">7.9 (24)</td><td rowspan="1" colspan="1">4.4 (12)</td><td rowspan="1" colspan="1">0.080†</td></tr><tr><td rowspan="1" colspan="1"> Effectiveness of vaccine</td><td rowspan="1" colspan="1">10.6 (61)</td><td rowspan="1" colspan="1">12.9 (39)</td><td rowspan="1" colspan="1">8.1 (22)</td><td rowspan="1" colspan="1">0.063†</td></tr><tr><td rowspan="1" colspan="1"> Cost of vaccination</td><td rowspan="1" colspan="1">47.8 (275)</td><td rowspan="1" colspan="1">49.5 (150)</td><td rowspan="1" colspan="1">46.0 (125)</td><td rowspan="1" colspan="1">0.395†</td></tr><tr><td rowspan="1" colspan="1"> Availability</td><td rowspan="1" colspan="1">13.0 (75)</td><td rowspan="1" colspan="1">13.9 (42)</td><td rowspan="1" colspan="1">12.2 (33)</td><td rowspan="1" colspan="1">0.538†</td></tr><tr><td rowspan="1" colspan="1"> Previous testing of vaccine's safety</td><td rowspan="1" colspan="1">8.2 (47)</td><td rowspan="1" colspan="1">10.6 (32)</td><td rowspan="1" colspan="1">5.5 (15)</td><td rowspan="1" colspan="1">0.027†</td></tr><tr><td rowspan="1" colspan="1"> Social acceptability</td><td rowspan="1" colspan="1">15.5 (89)</td><td rowspan="1" colspan="1">16.2 (49)</td><td rowspan="1" colspan="1">14.7 (40)</td><td rowspan="1" colspan="1">0.628†</td></tr></tbody></table><table-wrap-foot><fn><p>*Note: choosing multiple barriers/concerns were allowed.</p></fn><fn><p>†Pearson's χ<sup>2</sup> test.‡Fisher's exact test.</p></fn><fn><p>§Note: sample size for HPV vaccination portion of the survey was the follows: total (n=575), rural (n=303), urban (n=272).</p></fn><fn><p>HPV, human papillomavirus.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3d"><title>Determinants of cervical cancer screening status</title><p>In a multivariate model of women in the rural stratum, condom users had higher odds of being screened for cervical cancer (OR=6.44, 95% CI 1.12 to 37.1). Among urban women, older age groups had significantly higher odds of being screened (OR=4.14, 95% CI 1.86 to 9.24 and OR=8.38, 95% CI 2.10 to 33.4 for the 40–49 and >50 age groups, respectively) and we found a marginal association that single women had lower odds of being screened than married women (OR=0.11, 95% CI 0.01 to 1.04). Health insurance (OR=4.15, 95% CI 1.52 to 11.4) and knowledge of cervical cancer (OR=5.81, 95% CI 1.58 to 21.4) were strongly associated with being screened among urban women.</p></sec><sec id="s3e"><title>Acceptability of HPV vaccination</title><p>In rural and urban strata, acceptance of the HPV vaccine among participants was very high, with 93% of participants intending to definitely accept the vaccine if it were to become available in Tanzania. Women were also asked to predict their husband or partner's acceptance of the vaccine: while there was no difference across urban/rural strata, women's predictions of their husband or partner's intention to definitely accept the vaccine was lower (64%).</p></sec></sec><sec sec-type="discussion" id="s4"><title>Discussion</title><p>In this population-based sample of rural and urban women from the Kilimanjaro Region, Tanzania, the prevalence of screening for cervical cancer was extremely low at 6%, in close agreement with the 5-year screening prevalence estimated for developing countries by the WHO (5%).<xref rid="R6" ref-type="bibr">6</xref> Screening in rural and urban women in this study was lower than the 23% figure reported among rural women in one previous study of the Kilimanjaro region<xref rid="R18" ref-type="bibr">18</xref>; selective or clustered sampling may have biased estimates in other studies. In terms of personal risk for cervical cancer, the majority of women in this study perceived that they were susceptible to the disease. This finding is encouraging, as some studies in the developing world have reported that a large proportion of women do not believe they are at risk.<xref rid="R19" ref-type="bibr">19</xref></p><p>Despite differences on several measures, and findings of low vaccine-related knowledge, both rural and urban groups reported high acceptance of the HPV vaccine if it were to be available. This is consistent with other low-resource countries in sub-Saharan Africa, and due to low knowledge may represent a general attitude towards vaccinations or an attitude toward a vaccine preventing cancer. Tanzania currently vaccinates against six diseases through the Expanded Programme on Immunisation (EPI) and uptake of these vaccinations has been high, reaching 75% of children aged 12–23 months.<xref rid="R20" ref-type="bibr">20</xref></p><p>Our findings suggest that popular media sources, such as the TV and radio, are important sources for cervical cancer and HPV-related knowledge dissemination, consistent with findings from other low-resource areas.<xref rid="R21" ref-type="bibr">21</xref> The content or accuracy of these messages was not investigated in the present study and may be a future research direction; empirical studies examining message framing of the HPV vaccine have been studied mostly within the USA,<xref rid="R22" ref-type="bibr">22–24</xref> and there may be cultural preferences to be explored. Community-based routes of information, such as church, were also common in rural areas.</p><p>Within the past few years there has been a growing body of literature on the psychosocial aspects of HPV vaccination within sub-Saharan African countries,<xref rid="R21" ref-type="bibr">21</xref><xref rid="R25" ref-type="bibr">25–38</xref> revealing that HPV vaccine-related awareness and knowledge is quite low, however intention to vaccinate with the HPV vaccine is high. Most studies were conducted in urban or semiurban environments, and were convenience samples collected from clinics, communities and schools/universities. Recommendation from a healthcare provider and endorsement by the government were two important cues to action for vaccine acceptance, and perceived barriers such as cost and accessibility appeared to be important.<xref rid="R39" ref-type="bibr">39</xref></p><p>Although women themselves reported their intention of high acceptance of a HPV vaccine, their husband/partner's acceptance of the vaccine was lower. Women may not have felt confident to speak on their behalf of their partner; however, in general it has been suggested that women make the majority of health decisions for their children in these contexts.<xref rid="R26" ref-type="bibr">26</xref><xref rid="R28" ref-type="bibr">28</xref> Nevertheless, when asked about decision-making, women expected that the decision to vaccinate would be made by both parents together, and so investigating vaccination attitudes among men may be of interest to future studies.</p><p>In general, reported barriers to cervical cancer screening were similar among rural and urban women. Similar to findings from other studies in developing countries,<xref rid="R40" ref-type="bibr">40–42</xref> the primary barrier to being screened was not knowing that preventative screening tests existed, along with socioeconomic factors. Our findings on perceived barriers towards vaccination suggest that financial barriers are an important concern among both groups, consistent with other studies.<xref rid="R27" ref-type="bibr">27</xref><xref rid="R30" ref-type="bibr">30</xref> Although the vaccine is expected to be administered for free, the financial burden associated with access to the vaccination should be minimised, and further reductions at the policy level may be important towards increasing access for those outside the age range who wish to vaccinate.<xref rid="R43" ref-type="bibr">43</xref> Concerns of the vaccine's safety and side effects are also important barriers to address; and, history has shown that misinformation generated by publicity campaigns, such as that during the tetanus toxoid vaccination in Tanzania, present major barriers toward acceptance.<xref rid="R44" ref-type="bibr">44</xref></p><p>In terms of the determinants of screening status, among the urban strata, older women were more likely to have ever been screened for cervical cancer, which may reflect more lifetime contact with health services and opportunities to be screened. Marital status was marginally associated with screening; independently of age, single women were less likely to be screened than partnered or married women. This association is consistent with several other studies in developing settings, including an analysis of World Health Survey data in 14 low-income countries.<xref rid="R45" ref-type="bibr">45–47</xref> Lack of social support may manifest as a screening barrier in women who do not want to visit screening clinics alone, particularly when they have to travel long distances to access them.<xref rid="R41" ref-type="bibr">41</xref><xref rid="R42" ref-type="bibr">42</xref> Studies of cervical screening have also observed that women are often encouraged to be screened by members of their social network, including family members, partners and friends.<xref rid="R47" ref-type="bibr">47–49</xref> Cervical cancer knowledge was a strong predictor of screening status, though only among urban women. While directionality of the association cannot be assessed in this cross-sectional study, knowledge of the disease and its prevention may motivate women to seek screening themselves and has been noted as an important determinant in most studies of cervical screening uptake.<xref rid="R48" ref-type="bibr">48–50</xref> Health insurance was associated with being screened, which is consistently supported as an important predictor of screening status in developed and developing countries.<xref rid="R39" ref-type="bibr">39</xref><xref rid="R40" ref-type="bibr">40</xref><xref rid="R50" ref-type="bibr">50</xref></p><p>In contrast, in rural areas, access barriers may prevent women from being screened even if they have previous knowledge of screening and/or health insurance. A previous study of screening uptake in the Moshi Rural district of Kilimanjaro noted that when all factors were examined simultaneously, only living close to a screening facility and knowledge of cervical cancer were significantly associated with screening status, and this knowledge may have been gained through the screening procedure itself.<xref rid="R18" ref-type="bibr">18</xref> Condom use was associated with increased likelihood of screening in the rural sample. Women who rely on condoms as a contraceptive method may be more empowered, health conscious, have supportive partners and/or regular access to healthcare clinics.</p><p>These findings are timely given the recent announcements of upcoming vaccine demonstration projects in Tanzania. Strengths include the use of a multistage sampling strategy to investigate a population-based sample that was large enough to make valid rural and urban comparisons. Comparison of the demographic characteristics of participants to findings from the nationwide Demographic Health Survey (DHS) conducted in Tanzania in 2010 illustrates that our sample has concordant findings on education, parity, smoking status and sexual behaviours such as contraception use.<xref rid="R20" ref-type="bibr">20</xref> Although the sample is believed to be representative of the Kilimanjaro Region, the findings may not be generalisable to other regions with different sociodemographic characteristics. Another strength of this study is the use of multivariable modelling to identify associations with screening status while taking into account the clustered nature of the data. Although the survey was pilot-tested, a limitation of this study is the use of a survey that has not been tested for validity or reliability. The survey results were self-reported and social desirability may have influenced answers to sensitive questions, such as those on sexual behaviours.</p><p>Cervical cancer screening programmes that are affordable, acceptable, and effective remain a priority, and the ethics of implementing such programmes should be considered in light of the availability of treatment. The introduction of a quadrivalent vaccine that protects against 70% of cervical cancer cases is a promising and important shift toward prevention of this disease and recently announced demonstration plans by Global Alliance for Vaccines and Immunization (GAVI) represent an important step toward national introduction of the HPV vaccine in Tanzania.</p><p>Our findings suggest that acceptance of screening and HPV vaccination are high; however, public education on both are required, and there are particular concerns that could be addressed within campaigns in order to ensure high, widespread acceptance, including emphasising the safety of the HPV vaccine and the importance of screening even in asymptomatic women. In the future, research may focus on conducting in-depth interviews or focus groups to study the attitudes of men towards the HPV vaccine or assessing general attitudes towards the vaccinations of boys; it may also be of interest to reassess attitudes and barriers once educational and social mobilisation campaigns have occurred in these areas, as well as studying vaccine message framing and effectiveness in Tanzania.</p></sec></body><back><ack><p>The authors would like to acknowledge and thank the women who participated in this study. The authors also acknowledge the work of our research assistants and colleagues at Pamoja Tunaweza Women's Center (Moshi, Tanzania), and would like to especially thank Peter Kivumbi for his work on this project.</p></ack><fn-group><fn><p><bold>Twitter:</bold> Follow Karen Yeates at <ext-link ext-link-type="uri" xlink:href="http://twitter.com/yeatesk">@yeatesk</ext-link></p></fn><fn><p><bold>Contributors:</bold> MSC, ES, RF and PJ performed data collection under the guidance of all other authors. MSC and ES performed the statistical analysis and drafted the manuscript with the support of KJA. All authors contributed to the conception, study design and review of this paper.</p></fn><fn><p><bold>Funding:</bold> This work was supported by the Pure Art Foundation and the authors of this study.</p></fn><fn><p><bold>Competing interests:</bold> None.</p></fn><fn><p><bold>Patient consent:</bold> Obtained.</p></fn><fn><p><bold>Ethics approval:</bold> Health Sciences Research Ethics Board (Queen's University, Canada), the Kilimanjaro Christian Medical Center Ethics Board and the National Institute for Medical Research (Tanzania).</p></fn><fn><p><bold>Provenance and peer review:</bold> Not commissioned; externally peer reviewed.</p></fn><fn><p><bold>Data sharing statement:</bold> Additional data collected during this survey are available on request to KJA.</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><label>1</label><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>De Sanjosé</surname><given-names>S</given-names></name>, <name><surname>Serrano</surname><given-names>B</given-names></name>, <name><surname>Castellsagué</surname><given-names>X</given-names></name><etal></etal></person-group><comment>Human papillomavirus (HPV) and related cancers in the Global Alliance for Vaccines and Immunization (GAVI) countries. 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