Evidence map›Paper›PMID 34593572›Full record

ArticleGlobal health, science and practice2021

A Quality Improvement Intervention to Inform Scale-Up of Integrated HIV-TB Services: Lessons Learned From KwaZulu-Natal, South Africa.

Santhanalakshmi Gengiah, Kogieleum Naidoo, Regina Mlobeli, Maureen F Tshabalala, Andrew J Nunn, Nesri Padayatchi, Nonhlanhla Yende-Zuma, Myra Taylor, Pierre M Barker, Marian Loveday

Abstract read
In one paragraph

Article in Global health, science and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

10 authors.

Santhanalakshmi GengiahCentre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa. Gengiahs@gmail.com.
Kogieleum NaidooCentre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.
Regina MlobeliCentre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.
Maureen F TshabalalaInstitute for Healthcare Improvement, Cambridge, MA, USA.
Andrew J NunnMedical Research Council, Clinical Trials Unit at University College London, London, United Kingdom.
Nesri PadayatchiCentre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.
Nonhlanhla Yende-ZumaCentre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.
Myra TaylorSchool of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
Pierre M BarkerInstitute for Healthcare Improvement, Cambridge, MA, USA.
Marian LovedayMedical Research Council-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa.

Funding

Developing Research Innovation, Localization and Leadership in South Africa (DRILL)D43TW010131 · FIC · UNIVERSITY OF KWAZULU-NATAL · PI BRYSIEWICZ, PETRA, MOSHABELA, MOSA · 2015 to 2019
$3.2M
FIC NIH HHS D43 TW010131Medical Research Council MC_PC_16022
6 · The paper itself

Abstract

introductionIn South Africa, mortality rates among HIV-TB coinfected patients are among the highest in the world. The key to reducing mortality is integrating HIV-TB services, however, a generalizable implementation method and package of tested change ideas to guide the scale-up of integrated HIV-TB services are unavailable. We describe the implementation of a quality improvement (QI) intervention, health systems' weaknesses, change ideas, and lessons learned in improving integrated HIV-TB services.

methodsBetween December 1, 2016, and December 31, 2018, 8 nurse supervisors overseeing 20 primary health care (PHC) clinics formed a learning collaborative to improve a set of HIV-TB process indicators. HIV-TB process indicators comprised: HIV testing services (HTS), TB screening among PHC clinic attendees, isoniazid preventive therapy (IPT) for eligible HIV patients, antiretroviral therapy (ART) for HIV-TB coinfected patients, and viral load (VL) testing at month 12. Routine HIV-TB process data were collected and analyzed.

resultsKey change interventions, generated by health care workers, included: patient-flow redesign, daily data quality checks; prior identification of patients eligible for IPT and VL testing. Between baseline and post-QI intervention, IPT initiation rates increased from 15.9% to 76.4% ( DISCUSSION: Although integrating HIV-TB services is standard guidance, existing process gaps to achieve integration can be closed using QI methods. QI interventions can rapidly improve the performance of processes, particularly if baseline performance is low. Improving data quality enhances the success of QI initiatives.

Indexed as

HIV InfectionsTuberculosisHumansIsoniazidQuality ImprovementSouth AfricaIsoniazid

Identifiers

PMID34593572
PMCPMC8514040

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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.