Evidence map›Paper›PMID 33148729›Full record

ArticleBMJ open2020

Multilevel predictors of controlled CD4 count and blood pressure in an integrated chronic disease management model in rural South Africa: a panel study.

Soter Ameh, Francesc X Gómez-Olivé, Kathleen Kahn, Stephen Tollman, Kerstin Klipstein-Grobusch

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

Soter AmehDepartment of Community Medicine, Faculty of Medicine, College of Medical Sciences, University of Calabar, Calabar, Nigeria sote_ameh@yahoo.com.ORCID 0000-0002-8449-6423
Francesc X Gómez-OlivéMedical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Kathleen KahnMedical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Stephen TollmanMedical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Kerstin Klipstein-GrobuschDivision of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.

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 TW008330Wellcome TrustWellcome Trust 058893/Z/99/AWellcome Trust 069683/Z/02/ZWellcome Trust 085477/B/08/ZWellcome Trust 085477/Z/08/Z
6 · The paper itself

Abstract

objectiveIn 2011, The National Department of Health introduced the Integrated Chronic Disease Management (ICDM) model as a pilot programme in selected primary healthcare facilities in South Africa. The objective of this study was to determine individual-level and facility-level predictors of controlled CD4 count and blood pressure (BP) in patients receiving treatment for HIV and hypertension, respectively.

designA panel study. SETTING AND

participantsThis study was conducted in the Bushbuckridge Municipality, South Africa from 2011 to 2013. Facility records of patients aged ≥18 years were retrieved from the integrated chronic disease management (ICDM) pilot (n=435) and comparison facilities (n=443) using a three-step probability sampling process. CD4 count and BP control are defined as CD4 count >350 cells/mm PRIMARY OUTCOME MEASURES: CD4 (cells/mm

resultsCompared with the comparison facilities, patients receiving treatment in the pilot facilities had increased odds of controlling their CD4 count (OR=5.84, 95% CI 3.21-8.22) and BP (OR=1.22, 95% CI 1.04-2.14). Patients aged 50-59 (OR=6.12, 95% CI 2.14-7.21) and ≥60 (OR=7.59, 95% CI 4.75-11.82) years had increased odds of controlling their CD4 counts compared with those aged 18-29 years. Likewise, patients aged 40-49 (OR=5.73, 95% CI 1.98-8.43), 50-59 (OR=7.28, 95% CI 4.33-9.27) and ≥60 (OR=9.31, 95% CI 5.12-13.68) years had increased odds of controlling their BP. In contrast, men had decreased odds of controlling their CD4 count (OR=0.12, 95% CI 0.10-0.46) and BP (OR=0.21, 95% CI 0.19-0.47) than women.

conclusionThe ICDM model had a small but significant effect on BP control, hence, the need to more effectively leverage the HIV programme for optimal BP control in the setting.

Indexed as

Rural PopulationAdolescentAdultAgedBlood PressureCD4 Lymphocyte CountChildChild, PreschoolDisease ManagementFemaleHIV InfectionsHumansMaleMiddle AgedSouth AfricaYoung Adultepidemiologyhiv & aidshypertensionpublic health

Identifiers

PMID33148729
PMCPMC7640524

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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.