Effectiveness of an Integrated Approach to HIV and Hypertension Care in Rural South Africa: Controlled Interrupted Time-Series Analysis.
Identifieur interne : 000055 ( PubMed/Checkpoint ); précédent : 000054; suivant : 000056Effectiveness of an Integrated Approach to HIV and Hypertension Care in Rural South Africa: Controlled Interrupted Time-Series Analysis.
Auteurs : Soter Ameh [Suède] ; Kerstin Klipstein-Grobusch ; Eustasius Musenge ; Kathleen Kahn ; Stephen Tollman ; Francesc Xavier G Mez-OlivéSource :
- Journal of acquired immune deficiency syndromes (1999) [ 1944-7884 ] ; 2017.
Abstract
South Africa faces a dual burden of HIV/AIDS and noncommunicable diseases. In 2011, a pilot integrated chronic disease management (ICDM) model was introduced by the National Health Department into selected primary health care (PHC) facilities. The objective of this study was to assess the effectiveness of the ICDM model in controlling patients' CD4 counts (>350 cells/mm) and blood pressure [BP (<140/90 mm Hg)] in PHC facilities in the Bushbuckridge municipality, South Africa.
DOI: 10.1097/QAI.0000000000001437
PubMed: 28640065
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‖The International Network for the Demographic Evaluation of Populations and Their Health in Developing Countries (INDEPTH), Accra, Ghana; and ¶Epidemiology and Global Health, Umeå Centre for Global Health Research,Umeå University, Umeå, Sweden.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>*Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; †Department of Community Medicine, Faculty of Medicine, College of Medical Sciences, University of Calabar, Calabar, Nigeria; ‡Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; §Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands; ‖The International Network for the Demographic Evaluation of Populations and Their Health in Developing Countries (INDEPTH), Accra, Ghana; and ¶Epidemiology and Global Health, Umeå Centre for Global Health Research,Umeå University, Umeå</wicri:regionArea><wicri:noRegion>Umeå</wicri:noRegion></affiliation></author><author><name sortKey="Klipstein Grobusch, Kerstin" sort="Klipstein Grobusch, Kerstin" uniqKey="Klipstein Grobusch K" first="Kerstin" last="Klipstein-Grobusch">Kerstin Klipstein-Grobusch</name></author><author><name sortKey="Musenge, Eustasius" sort="Musenge, Eustasius" uniqKey="Musenge E" first="Eustasius" last="Musenge">Eustasius Musenge</name></author><author><name sortKey="Kahn, Kathleen" sort="Kahn, Kathleen" uniqKey="Kahn K" first="Kathleen" last="Kahn">Kathleen Kahn</name></author><author><name sortKey="Tollman, Stephen" sort="Tollman, Stephen" uniqKey="Tollman S" first="Stephen" last="Tollman">Stephen Tollman</name></author><author><name sortKey="G Mez Olive, Francesc Xavier" sort="G Mez Olive, Francesc Xavier" uniqKey="G Mez Olive F" first="Francesc Xavier" last="G Mez-Olivé">Francesc Xavier G Mez-Olivé</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2017">2017</date><idno type="RBID">pubmed:28640065</idno><idno type="pmid">28640065</idno><idno type="doi">10.1097/QAI.0000000000001437</idno><idno type="wicri:Area/PubMed/Corpus">000620</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000620</idno><idno type="wicri:Area/PubMed/Curation">000620</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000620</idno><idno type="wicri:Area/PubMed/Checkpoint">000620</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000620</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Effectiveness of an Integrated Approach to HIV and Hypertension Care in Rural South Africa: Controlled Interrupted Time-Series Analysis.</title><author><name sortKey="Ameh, Soter" sort="Ameh, Soter" uniqKey="Ameh S" first="Soter" last="Ameh">Soter Ameh</name><affiliation wicri:level="1"><nlm:affiliation>*Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; †Department of Community Medicine, Faculty of Medicine, College of Medical Sciences, University of Calabar, Calabar, Nigeria; ‡Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; §Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands; ‖The International Network for the Demographic Evaluation of Populations and Their Health in Developing Countries (INDEPTH), Accra, Ghana; and ¶Epidemiology and Global Health, Umeå Centre for Global Health Research,Umeå University, Umeå, Sweden.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>*Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; †Department of Community Medicine, Faculty of Medicine, College of Medical Sciences, University of Calabar, Calabar, Nigeria; ‡Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; §Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands; ‖The International Network for the Demographic Evaluation of Populations and Their Health in Developing Countries (INDEPTH), Accra, Ghana; and ¶Epidemiology and Global Health, Umeå Centre for Global Health Research,Umeå University, Umeå</wicri:regionArea><wicri:noRegion>Umeå</wicri:noRegion></affiliation></author><author><name sortKey="Klipstein Grobusch, Kerstin" sort="Klipstein Grobusch, Kerstin" uniqKey="Klipstein Grobusch K" first="Kerstin" last="Klipstein-Grobusch">Kerstin Klipstein-Grobusch</name></author><author><name sortKey="Musenge, Eustasius" sort="Musenge, Eustasius" uniqKey="Musenge E" first="Eustasius" last="Musenge">Eustasius Musenge</name></author><author><name sortKey="Kahn, Kathleen" sort="Kahn, Kathleen" uniqKey="Kahn K" first="Kathleen" last="Kahn">Kathleen Kahn</name></author><author><name sortKey="Tollman, Stephen" sort="Tollman, Stephen" uniqKey="Tollman S" first="Stephen" last="Tollman">Stephen Tollman</name></author><author><name sortKey="G Mez Olive, Francesc Xavier" sort="G Mez Olive, Francesc Xavier" uniqKey="G Mez Olive F" first="Francesc Xavier" last="G Mez-Olivé">Francesc Xavier G Mez-Olivé</name></author></analytic><series><title level="j">Journal of acquired immune deficiency syndromes (1999)</title><idno type="eISSN">1944-7884</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">South Africa faces a dual burden of HIV/AIDS and noncommunicable diseases. In 2011, a pilot integrated chronic disease management (ICDM) model was introduced by the National Health Department into selected primary health care (PHC) facilities. The objective of this study was to assess the effectiveness of the ICDM model in controlling patients' CD4 counts (>350 cells/mm) and blood pressure [BP (<140/90 mm Hg)] in PHC facilities in the Bushbuckridge municipality, South Africa.</div></front></TEI><pubmed><MedlineCitation Status="In-Process" Owner="NLM"><PMID Version="1">28640065</PMID><DateCreated><Year>2017</Year><Month>06</Month><Day>22</Day></DateCreated><DateRevised><Year>2017</Year><Month>07</Month><Day>14</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1944-7884</ISSN><JournalIssue CitedMedium="Internet"><Volume>75</Volume><Issue>4</Issue><PubDate><Year>2017</Year><Month>Aug</Month><Day>01</Day></PubDate></JournalIssue><Title>Journal of acquired immune deficiency syndromes (1999)</Title><ISOAbbreviation>J. Acquir. Immune Defic. Syndr.</ISOAbbreviation></Journal><ArticleTitle>Effectiveness of an Integrated Approach to HIV and Hypertension Care in Rural South Africa: Controlled Interrupted Time-Series Analysis.</ArticleTitle><Pagination><MedlinePgn>472-479</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1097/QAI.0000000000001437</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">South Africa faces a dual burden of HIV/AIDS and noncommunicable diseases. In 2011, a pilot integrated chronic disease management (ICDM) model was introduced by the National Health Department into selected primary health care (PHC) facilities. The objective of this study was to assess the effectiveness of the ICDM model in controlling patients' CD4 counts (>350 cells/mm) and blood pressure [BP (<140/90 mm Hg)] in PHC facilities in the Bushbuckridge municipality, South Africa.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">A controlled interrupted time-series study was conducted using the data from patients' clinical records collected multiple times before and after the ICDM model was initiated in PHC facilities in Bushbuckridge. Patients ≥18 years were recruited by proportionate sampling from the pilot (n = 435) and comparing (n = 443) PHC facilities from 2011 to 2013. Health outcomes for patients were retrieved from facility records for 30 months. We performed controlled segmented regression to model the monthly averages of individuals' propensity scores using autoregressive moving average model at 5% significance level.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">The pilot facilities had 6% greater likelihood of controlling patients' CD4 counts than the comparison facilities (coefficient = 0.057; 95% confidence interval: 0.056 to 0.058; P < 0.001). Compared with the comparison facilities, the pilot facilities had 1.0% greater likelihood of controlling patients' BP (coefficient = 0.010; 95% confidence interval: 0.003 to 0.016; P = 0.002).</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Application of the model had a small effect in controlling patients' CD4 counts and BP, but showed no overall clinical benefit for the patients; hence, the need to more extensively leverage the HIV program for hypertension treatment.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ameh</LastName><ForeName>Soter</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>*Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; †Department of Community Medicine, Faculty of Medicine, College of Medical Sciences, University of Calabar, Calabar, Nigeria; ‡Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; §Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands; ‖The International Network for the Demographic Evaluation of Populations and Their Health in Developing Countries (INDEPTH), Accra, Ghana; and ¶Epidemiology and Global Health, Umeå Centre for Global Health Research,Umeå University, Umeå, Sweden.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Klipstein-Grobusch</LastName><ForeName>Kerstin</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Musenge</LastName><ForeName>Eustasius</ForeName><Initials>E</Initials></Author><Author ValidYN="Y"><LastName>Kahn</LastName><ForeName>Kathleen</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Tollman</LastName><ForeName>Stephen</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Gómez-Olivé</LastName><ForeName>Francesc Xavier</ForeName><Initials>FX</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>D43 TW008330</GrantID><Acronym>TW</Acronym><Agency>FIC NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Acquir Immune Defic Syndr</MedlineTA><NlmUniqueID>100892005</NlmUniqueID><ISSNLinking>1525-4135</ISSNLinking></MedlineJournalInfo><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>BMJ. 2002 Oct 26;325(7370):954-7</RefSource><PMID Version="1">12399350</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Afr J Prim Health Care Fam Med. 2016 Nov 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PubStatus="entrez"><Year>2017</Year><Month>6</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">28640065</ArticleId><ArticleId IdType="doi">10.1097/QAI.0000000000001437</ArticleId><ArticleId IdType="pmc">PMC5483981</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Suède</li></country></list><tree><noCountry><name sortKey="G Mez Olive, Francesc Xavier" sort="G Mez Olive, Francesc Xavier" uniqKey="G Mez Olive F" first="Francesc Xavier" last="G Mez-Olivé">Francesc Xavier G Mez-Olivé</name><name sortKey="Kahn, Kathleen" sort="Kahn, Kathleen" uniqKey="Kahn K" first="Kathleen" last="Kahn">Kathleen Kahn</name><name sortKey="Klipstein Grobusch, Kerstin" sort="Klipstein Grobusch, Kerstin" uniqKey="Klipstein Grobusch K" first="Kerstin" last="Klipstein-Grobusch">Kerstin Klipstein-Grobusch</name><name sortKey="Musenge, Eustasius" sort="Musenge, Eustasius" uniqKey="Musenge E" first="Eustasius" last="Musenge">Eustasius Musenge</name><name sortKey="Tollman, Stephen" sort="Tollman, Stephen" uniqKey="Tollman S" first="Stephen" last="Tollman">Stephen Tollman</name></noCountry><country name="Suède"><noRegion><name sortKey="Ameh, Soter" sort="Ameh, Soter" uniqKey="Ameh S" first="Soter" last="Ameh">Soter Ameh</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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