Evidence map›Paper›PMID 33131222›Full record

Trial reportInternational journal of health policy and management2022

A Continuous Quality Improvement Intervention to Improve Antenatal HIV Care Testing in Rural South Africa: Evaluation of Implementation in a Real-World Setting.

H Manisha Yapa, Wendy Dhlomo-Mphatswe, Mosa Moshabela, Jan-Walter De Neve, Carina Herbst, Awachana Jiamsakul, Kathy Petoumenos, Frank A Post, Deenan Pillay, Till Bärnighausen and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of health policy and management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Review
  5. Article
  6. Article
  7. Article
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  9. Article
  10. CD4+ T-Cell Count at Antiretroviral Therapy Initiation in the "Treat-All" Era in Rural South Africa: An Interrupted Time Series Analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  11. 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

11 authors.

H Manisha YapaThe Kirby Institute, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0002-0100-4754
Wendy Dhlomo-MphatsweSchool of Clinical Medicine, Discipline of Obstetrics and Gynaecology, University of KwaZulu-Natal, Durban, South Africa.
Mosa MoshabelaAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Jan-Walter De NeveHeidelberg Institute of Global Health (HIGH), Faculty of Medicine and University Hospital, University of Heidelberg, Heidelberg, Germany.
Carina HerbstAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Awachana JiamsakulThe Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
Kathy PetoumenosThe Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
Frank A PostKing's College Hospital NHS Foundation Trust, London, UK.
Deenan PillayAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Till BärnighausenAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Sally WykeAfrica Health Research Institute, KwaZulu-Natal, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe evaluated continuous quality improvement (CQI) targeting antenatal HIV care quality in rural South Africa using a stepped-wedge cluster-randomised controlled trial (Management and Optimisation of Nutrition, Antenatal, Reproductive, Child health, MONARCH) and an embedded process evaluation. Here, we present results of the process evaluation examining determinants of CQI practice and 'normalisation.'

methodsA team of CQI mentors supported public-sector health workers in seven primary care clinics to (1) identify root causes of poor HIV viral load (VL) monitoring among pregnant women living with HIV and repeat HIV testing among pregnant women not living with HIV, and (2) design and iteratively test their own solutions. We used a mixed methods evaluation with

resultsAll interviewed health workers found the CQI mentors and methodology helpful for quality improvement. Total administered 'dose' was higher than planned but 'reach' was limited by resource constraints, particularly staffing shortages. Simple workable improvements to identified root causes were implemented, such as a patient tracking notebook and results filing system. VL monitoring improved over time, but not repeat HIV testing. Besides resource constraints, gaps in knowledge of guidelines, lack of leadership, poor clinical documentation, and data quality gaps reduced CQI implementation fidelity and normalisation.

conclusionWhile CQI holds promise, we identified several health system challenges. Priorities for policy makers include improving staffing and strategies to improve clinical documentation. Additional support with implementing clinical guidelines and improving routine data quality are needed. Normalising CQI may be challenging without concurrent health system improvements.

Indexed as

HIV InfectionsQuality ImprovementChildFemaleHIV TestingHumansPregnancyRural PopulationSouth AfricaAntenatal CareContinuous Quality ImprovementHIV/AIDSNormalisation Process TheoryProcess EvaluationTailored Implementation of Chronic Diseases Framew

Identifiers

PMID33131222
PMCPMC9309927

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Registered trials

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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.