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Variation in attrition at sub-national level: Review of the Botswana National HIV/AIDS Treatment (Masa) program data (2002–2013)

Identifieur interne : 001F15 ( Pmc/Curation ); précédent : 001F14; suivant : 001F16

Variation in attrition at sub-national level: Review of the Botswana National HIV/AIDS Treatment (Masa) program data (2002–2013)

Auteurs : Mansour Farahani [États-Unis] ; Natalie Price [États-Unis] ; Shenaaz El-Halabi [Botswana] ; Naledi Mlaudzi [Botswana] ; Koona Keapoletswe [Botswana] ; Refeletswe Lebelonyane [Botswana] ; Ernest Benny Fetogang [Botswana] ; Tony Chebani [États-Unis] ; Poloko Kebaabetswe [Botswana] ; Tiny Masupe [Botswana] ; Keba Gabaake [Botswana] ; Andrew Auld [États-Unis] ; Oathokwa Nkomazana [Botswana] ; Richard Marlink [États-Unis]

Source :

RBID : PMC:4834839

Abstract

Objective

To evaluate the variation in all-cause attrition (mortality and loss to follow-up (LTFU)) among HIV-infected individuals in Botswana by health district during the rapid and massive scale-up of the National Treatment Program.

Methods

Analysis of routinely collected longitudinal data from 226,030 patients who received ART through the Botswana National HIV/AIDS Treatment Program across all 24 health districts from 2002 to 2013. A time-to-event analysis was used to measure crude mortality and loss to follow-up rates (LTFU). A marginal structural model was used to evaluate mortality and LTFU rates by district over time, adjusted for individual-level risk factors (e.g., age, gender, baseline CD4, year of treatment initiation, and antiretroviral regimen).

Results

Mortality rates in the districts ranged from the lowest 1.0 (95% CI 0.9–1.1) in Selibe-Phikwe, to the highest 5.0 (95% CI 4.0–6.1), in Mabutsane. There was a wide range of overall LTFU across districts, including rates as low as 4.6 (95% CI 4.4–4.9) losses per 100 person-years in Ngamiland, and 5.9 (95% CI 5.6–6.2) losses per 100 person-years in South East, to rates as high as 25.4 (95% CI 23.08–27.89) losses per 100 person-years in Mabutsane and 46.3 (95% CI 43.48–49.23) losses per 100 person-years in Okavango. Even when known risk factors for mortality and LTFU were adjusted for, district was a significant predictor of both mortality and LTFU rates

Conclusion

We found statistically significant variation in attrition (mortality and LTFU) and data quality among districts. These findings suggest that district-level contextual factors affect retention in treatment. Further research needs to investigate factors that can potentially cause this variation.


Url:
DOI: 10.1111/tmi.12623
PubMed: 26485172
PubMed Central: 4834839

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PMC:4834839

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<title>Objective</title>
<p id="P1">To evaluate the variation in all-cause attrition (mortality and loss to follow-up (LTFU)) among HIV-infected individuals in Botswana by health district during the rapid and massive scale-up of the National Treatment Program.</p>
</sec>
<sec id="S2">
<title>Methods</title>
<p id="P2">Analysis of routinely collected longitudinal data from 226,030 patients who received ART through the Botswana National HIV/AIDS Treatment Program across all 24 health districts from 2002 to 2013. A time-to-event analysis was used to measure crude mortality and loss to follow-up rates (LTFU). A marginal structural model was used to evaluate mortality and LTFU rates by district over time, adjusted for individual-level risk factors (e.g., age, gender, baseline CD4, year of treatment initiation, and antiretroviral regimen).</p>
</sec>
<sec id="S3">
<title>Results</title>
<p id="P3">Mortality rates in the districts ranged from the lowest 1.0 (95% CI 0.9–1.1) in Selibe-Phikwe, to the highest 5.0 (95% CI 4.0–6.1), in Mabutsane. There was a wide range of overall LTFU across districts, including rates as low as 4.6 (95% CI 4.4–4.9) losses per 100 person-years in Ngamiland, and 5.9 (95% CI 5.6–6.2) losses per 100 person-years in South East, to rates as high as 25.4 (95% CI 23.08–27.89) losses per 100 person-years in Mabutsane and 46.3 (95% CI 43.48–49.23) losses per 100 person-years in Okavango. Even when known risk factors for mortality and LTFU were adjusted for, district was a significant predictor of both mortality and LTFU rates</p>
</sec>
<sec id="S4">
<title>Conclusion</title>
<p id="P4">We found statistically significant variation in attrition (mortality and LTFU) and data quality among districts. These findings suggest that district-level contextual factors affect retention in treatment. Further research needs to investigate factors that can potentially cause this variation.</p>
</sec>
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</front>
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<name>
<surname>Farahani</surname>
<given-names>Mansour</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Price</surname>
<given-names>Natalie</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>El-Halabi</surname>
<given-names>Shenaaz</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mlaudzi</surname>
<given-names>Naledi</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Keapoletswe</surname>
<given-names>Koona</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lebelonyane</surname>
<given-names>Refeletswe</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fetogang</surname>
<given-names>Ernest Benny</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chebani</surname>
<given-names>Tony</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kebaabetswe</surname>
<given-names>Poloko</given-names>
</name>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Masupe</surname>
<given-names>Tiny</given-names>
</name>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gabaake</surname>
<given-names>Keba</given-names>
</name>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Auld</surname>
<given-names>Andrew</given-names>
</name>
<xref ref-type="aff" rid="A4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nkomazana</surname>
<given-names>Oathokwa</given-names>
</name>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Marlink</surname>
<given-names>Richard</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
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<aff id="A1">
<label>1</label>
Harvard T.H. Chan School of Public Health, Boston, MA, USA</aff>
<aff id="A2">
<label>2</label>
Ministry of Health, Gaborone, Botswana</aff>
<aff id="A3">
<label>3</label>
University of Botswana, Gaborone, Botswana</aff>
<aff id="A4">
<label>4</label>
Centers for Disease Control and Prevention, Atlanta, GA, USA</aff>
<author-notes>
<corresp id="cor1">
<bold>Corresponding author:</bold>
Mansour Farahani, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
<email>mfarahan@hsph.harvard.edu</email>
</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted">
<day>30</day>
<month>3</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>12</day>
<month>11</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="ppub">
<month>1</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>01</day>
<month>1</month>
<year>2017</year>
</pub-date>
<volume>21</volume>
<issue>1</issue>
<fpage>18</fpage>
<lpage>27</lpage>
<pmc-comment>elocation-id from pubmed: 10.1111/tmi.12623</pmc-comment>
<abstract>
<sec id="S1">
<title>Objective</title>
<p id="P1">To evaluate the variation in all-cause attrition (mortality and loss to follow-up (LTFU)) among HIV-infected individuals in Botswana by health district during the rapid and massive scale-up of the National Treatment Program.</p>
</sec>
<sec id="S2">
<title>Methods</title>
<p id="P2">Analysis of routinely collected longitudinal data from 226,030 patients who received ART through the Botswana National HIV/AIDS Treatment Program across all 24 health districts from 2002 to 2013. A time-to-event analysis was used to measure crude mortality and loss to follow-up rates (LTFU). A marginal structural model was used to evaluate mortality and LTFU rates by district over time, adjusted for individual-level risk factors (e.g., age, gender, baseline CD4, year of treatment initiation, and antiretroviral regimen).</p>
</sec>
<sec id="S3">
<title>Results</title>
<p id="P3">Mortality rates in the districts ranged from the lowest 1.0 (95% CI 0.9–1.1) in Selibe-Phikwe, to the highest 5.0 (95% CI 4.0–6.1), in Mabutsane. There was a wide range of overall LTFU across districts, including rates as low as 4.6 (95% CI 4.4–4.9) losses per 100 person-years in Ngamiland, and 5.9 (95% CI 5.6–6.2) losses per 100 person-years in South East, to rates as high as 25.4 (95% CI 23.08–27.89) losses per 100 person-years in Mabutsane and 46.3 (95% CI 43.48–49.23) losses per 100 person-years in Okavango. Even when known risk factors for mortality and LTFU were adjusted for, district was a significant predictor of both mortality and LTFU rates</p>
</sec>
<sec id="S4">
<title>Conclusion</title>
<p id="P4">We found statistically significant variation in attrition (mortality and LTFU) and data quality among districts. These findings suggest that district-level contextual factors affect retention in treatment. Further research needs to investigate factors that can potentially cause this variation.</p>
</sec>
</abstract>
<kwd-group>
<kwd>HIV</kwd>
<kwd>attrition</kwd>
<kwd>ART</kwd>
<kwd>marginal structural model</kwd>
<kwd>multilevel</kwd>
<kwd>Botswana</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>

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