Evidence map›Paper›PMID 28640065›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2017

Effectiveness of an Integrated Approach to HIV and Hypertension Care in Rural South Africa: Controlled Interrupted Time-Series Analysis.

Soter Ameh, Kerstin Klipstein-Grobusch, Eustasius Musenge, Kathleen Kahn, Stephen Tollman, Francesc Xavier Gómez-Olivé

Registry-linked trialOpen access · hybridAbstract readMulticenter Study
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05002322 (Scaling Out and Scaling Up the Systems Analysis and Improvement Approach to Optimize the Hypertension Diagnosis and Care Cascade for HIV-infected Individuals), which is not on this map. Cited by 38 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 4 pooled it
25.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05002322 nacompletednot on this mapstarted 2023, after this paper: background citation

Scaling Out and Scaling Up the Systems Analysis and Improvement Approach to Optimize the Hypertension Diagnosis and Care Cascade for HIV-infected Individuals

TypeinterventionalSponsorEduardo Mondlane UniversityRan2023 to 2025Enrolled18ConditionsHypertensionArmsSystems Analysis and Improvement Approach
3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 4 syntheses or guidelines pooled it, 51 citations in OpenAlex.

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  3. BMJ open · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 4 countries.

Soter Ameh*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.
Kerstin Klipstein-Grobusch
Eustasius Musenge
Kathleen Kahn
Stephen Tollman
Francesc Xavier Gómez-Olivé
University of the Witwatersrand · ZAIndepth Network · GHUniversity Medical Center Utrecht · NL

Funding

Wits Non-communicable Disease Research Leadership ProgramD43TW008330 · FIC · WITS HEALTH CONSORTIUM (PTY), LTD · PI CROWTHER, NIGEL JOHN, KLIPSTEIN-GROBUSCH, KERSTIN · 2010 to 2014
$985k
FIC NIH HHS D43 TW008330
6 · The paper itself

Abstract

backgroundSouth 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.

methodsA 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.

resultsThe 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).

conclusionsApplication 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.

Indexed as

Interrupted Time Series AnalysisAdolescentAdultAnti-HIV AgentsAntihypertensive AgentsCD4 Lymphocyte CountFemaleHIV InfectionsHumansHypertensionMaleMedication AdherenceMiddle AgedOutcome Assessment, Health CareRural PopulationSouth AfricaAnti-HIV AgentsAntihypertensive Agents

Identifiers

PMID28640065
PMCPMC5483981
OpenAlexW2616485725

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.