Evaluation of bias and logistics in a survey of adults at increased risk for oral health decrements.
Identifieur interne : 003F23 ( PubMed/Corpus ); précédent : 003F22; suivant : 003F24Evaluation of bias and logistics in a survey of adults at increased risk for oral health decrements.
Auteurs : G H Gilbert ; R P Duncan ; A M Kulley ; R T Coward ; M W HeftSource :
- Journal of public health dentistry [ 0022-4006 ] ; 1997.
English descriptors
- KwdEn :
- Adult, African Continental Ancestry Group, Age Factors, Aged, Bias, Dental Care (statistics & numerical data), Dental Health Surveys, Evaluation Studies as Topic, Female, Florida (epidemiology), Health Status, Humans, Interviews as Topic, Jaw, Edentulous (epidemiology), Logistic Models, Male, Middle Aged, Mouth Diseases (epidemiology), Multivariate Analysis, Physical Examination, Poverty (statistics & numerical data), Prevalence, Research Design, Risk Factors, Rural Health (statistics & numerical data), Sample Size, Sampling Studies, Selection Bias, Sex Factors, Telephone.
- MESH :
- epidemiology : Florida, Jaw, Edentulous, Mouth Diseases.
- statistics & numerical data : Dental Care, Poverty, Rural Health.
- Adult, African Continental Ancestry Group, Age Factors, Aged, Bias, Dental Health Surveys, Evaluation Studies as Topic, Female, Health Status, Humans, Interviews as Topic, Logistic Models, Male, Middle Aged, Multivariate Analysis, Physical Examination, Prevalence, Research Design, Risk Factors, Sample Size, Sampling Studies, Selection Bias, Sex Factors, Telephone.
Abstract
Designing research to include sufficient respondents in groups at highest risk for oral health decrements can present unique challenges. Our purpose was to evaluate bias and logistics in this survey of adults at increased risk for oral health decrements.
PubMed: 9150063
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pubmed:9150063Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Evaluation of bias and logistics in a survey of adults at increased risk for oral health decrements.</title><author><name sortKey="Gilbert, G H" sort="Gilbert, G H" uniqKey="Gilbert G" first="G H" last="Gilbert">G H Gilbert</name><affiliation><nlm:affiliation>Claude Pepper Center for Research on Oral Health in Aging, Gainesville, FL 32610-0416, USA. gilbert@nervm.nerdc.ufl.edu</nlm:affiliation></affiliation></author><author><name sortKey="Duncan, R P" sort="Duncan, R P" uniqKey="Duncan R" first="R P" last="Duncan">R P Duncan</name></author><author><name sortKey="Kulley, A M" sort="Kulley, A M" uniqKey="Kulley A" first="A M" last="Kulley">A M Kulley</name></author><author><name sortKey="Coward, R T" sort="Coward, R T" uniqKey="Coward R" first="R T" last="Coward">R T Coward</name></author><author><name sortKey="Heft, M W" sort="Heft, M W" uniqKey="Heft M" first="M W" last="Heft">M W Heft</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="1997">1997</date><idno type="RBID">pubmed:9150063</idno><idno type="pmid">9150063</idno><idno type="wicri:Area/PubMed/Corpus">003F23</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">003F23</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Evaluation of bias and logistics in a survey of adults at increased risk for oral health decrements.</title><author><name sortKey="Gilbert, G H" sort="Gilbert, G H" uniqKey="Gilbert G" first="G H" last="Gilbert">G H Gilbert</name><affiliation><nlm:affiliation>Claude Pepper Center for Research on Oral Health in Aging, Gainesville, FL 32610-0416, USA. gilbert@nervm.nerdc.ufl.edu</nlm:affiliation></affiliation></author><author><name sortKey="Duncan, R P" sort="Duncan, R P" uniqKey="Duncan R" first="R P" last="Duncan">R P Duncan</name></author><author><name sortKey="Kulley, A M" sort="Kulley, A M" uniqKey="Kulley A" first="A M" last="Kulley">A M Kulley</name></author><author><name sortKey="Coward, R T" sort="Coward, R T" uniqKey="Coward R" first="R T" last="Coward">R T Coward</name></author><author><name sortKey="Heft, M W" sort="Heft, M W" uniqKey="Heft M" first="M W" last="Heft">M W Heft</name></author></analytic><series><title level="j">Journal of public health dentistry</title><idno type="ISSN">0022-4006</idno><imprint><date when="1997" type="published">1997</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>African Continental Ancestry Group</term><term>Age Factors</term><term>Aged</term><term>Bias</term><term>Dental Care (statistics & numerical data)</term><term>Dental Health Surveys</term><term>Evaluation Studies as Topic</term><term>Female</term><term>Florida (epidemiology)</term><term>Health Status</term><term>Humans</term><term>Interviews as Topic</term><term>Jaw, Edentulous (epidemiology)</term><term>Logistic Models</term><term>Male</term><term>Middle Aged</term><term>Mouth Diseases (epidemiology)</term><term>Multivariate Analysis</term><term>Physical Examination</term><term>Poverty (statistics & numerical data)</term><term>Prevalence</term><term>Research Design</term><term>Risk Factors</term><term>Rural Health (statistics & numerical data)</term><term>Sample Size</term><term>Sampling Studies</term><term>Selection Bias</term><term>Sex Factors</term><term>Telephone</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Florida</term><term>Jaw, Edentulous</term><term>Mouth Diseases</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Dental Care</term><term>Poverty</term><term>Rural Health</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>African Continental Ancestry Group</term><term>Age Factors</term><term>Aged</term><term>Bias</term><term>Dental Health Surveys</term><term>Evaluation Studies as Topic</term><term>Female</term><term>Health Status</term><term>Humans</term><term>Interviews as Topic</term><term>Logistic Models</term><term>Male</term><term>Middle Aged</term><term>Multivariate Analysis</term><term>Physical Examination</term><term>Prevalence</term><term>Research Design</term><term>Risk Factors</term><term>Sample Size</term><term>Sampling Studies</term><term>Selection Bias</term><term>Sex Factors</term><term>Telephone</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Designing research to include sufficient respondents in groups at highest risk for oral health decrements can present unique challenges. Our purpose was to evaluate bias and logistics in this survey of adults at increased risk for oral health decrements.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">9150063</PMID><DateCompleted><Year>1997</Year><Month>07</Month><Day>17</Day></DateCompleted><DateRevised><Year>2017</Year><Month>11</Month><Day>16</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0022-4006</ISSN><JournalIssue CitedMedium="Print"><Volume>57</Volume><Issue>1</Issue><PubDate><Year>1997</Year><Season>Winter</Season></PubDate></JournalIssue><Title>Journal of public health dentistry</Title><ISOAbbreviation>J Public Health Dent</ISOAbbreviation></Journal><ArticleTitle>Evaluation of bias and logistics in a survey of adults at increased risk for oral health decrements.</ArticleTitle><Pagination><MedlinePgn>48-58</MedlinePgn></Pagination><Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">Designing research to include sufficient respondents in groups at highest risk for oral health decrements can present unique challenges. Our purpose was to evaluate bias and logistics in this survey of adults at increased risk for oral health decrements.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">We used a telephone survey methodology that employed both listed numbers and random digit dialing to identify dentate persons 45 years old or older and to oversample blacks, poor persons, and residents of nonmetropolitan counties. At a second stage, a subsample of the respondents to the initial telephone screening was selected for further study, which consisted of a baseline in-person interview and a clinical examination. We assessed bias due to: (1) limiting the sample to households with telephones, (2) using predominantly listed numbers instead of random digit dialing, and (3) nonresponse at two stages of data collection.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">While this approach apparently created some biases in the sample, they were small in magnitude. Specifically, limiting the sample to households with telephones biased the sample overall toward more females, larger households, and fewer functionally impaired persons. Using predominantly listed numbers led to a modest bias toward selection of persons more likely to be younger, healthier, female, have had a recent dental visit, and reside in smaller households. Blacks who were selected randomly at a second stage were more likely to participate in baseline data gathering than their white counterparts. Comparisons of the data obtained in this survey with those from recent national surveys suggest that this methodology for sampling high-risk groups did not substantively bias the sample with respect to two important dental parameters, prevalence of edentulousness and dental care use, nor were conclusions about multivariate associations with dental care recency substantively affected.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">This method of sampling persons at high risk for oral health decrements resulted in only modest bias with respect to the population of interest.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Gilbert</LastName><ForeName>G H</ForeName><Initials>GH</Initials><AffiliationInfo><Affiliation>Claude Pepper Center for Research on Oral Health in Aging, Gainesville, FL 32610-0416, USA. gilbert@nervm.nerdc.ufl.edu</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Duncan</LastName><ForeName>R P</ForeName><Initials>RP</Initials></Author><Author ValidYN="Y"><LastName>Kulley</LastName><ForeName>A M</ForeName><Initials>AM</Initials></Author><Author ValidYN="Y"><LastName>Coward</LastName><ForeName>R T</ForeName><Initials>RT</Initials></Author><Author ValidYN="Y"><LastName>Heft</LastName><ForeName>M W</ForeName><Initials>MW</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="N"><Grant><GrantID>AG-11183</GrantID><Acronym>AG</Acronym><Agency>NIA NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>DE-08845</GrantID><Acronym>DE</Acronym><Agency>NIDCR NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>DE-12587</GrantID><Acronym>DE</Acronym><Agency>NIDCR NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D013487">Research Support, U.S. Gov't, P.H.S.</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Public Health Dent</MedlineTA><NlmUniqueID>0014207</NlmUniqueID><ISSNLinking>0022-4006</ISSNLinking></MedlineJournalInfo><CitationSubset>D</CitationSubset><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D044383" MajorTopicYN="N">African Continental Ancestry Group</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015982" MajorTopicYN="Y">Bias</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003729" MajorTopicYN="N">Dental Care</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003753" MajorTopicYN="N">Dental Health Surveys</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005069" MajorTopicYN="N">Evaluation Studies as Topic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005431" MajorTopicYN="N">Florida</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006304" MajorTopicYN="N">Health Status</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007407" MajorTopicYN="N">Interviews as Topic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007575" MajorTopicYN="N">Jaw, Edentulous</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016015" MajorTopicYN="Y">Logistic Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009059" MajorTopicYN="N">Mouth Diseases</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015999" MajorTopicYN="N">Multivariate Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010808" MajorTopicYN="N">Physical Examination</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011203" MajorTopicYN="N">Poverty</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012107" MajorTopicYN="N">Research Design</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012423" MajorTopicYN="N">Rural Health</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018401" MajorTopicYN="N">Sample Size</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012494" MajorTopicYN="N">Sampling Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015983" MajorTopicYN="N">Selection Bias</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012737" MajorTopicYN="N">Sex Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013689" MajorTopicYN="N">Telephone</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>1997</Year><Month>1</Month><Day>1</Day></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>1997</Year><Month>1</Month><Day>1</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>1997</Year><Month>1</Month><Day>1</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">9150063</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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