Trial reportBMC public health2020
Evaluation of the effectiveness of a quality improvement intervention to support integration of maternal, child and HIV care in primary health care facilities in South Africa.
Trial report in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04278612 (Evaluation of the Effectiveness of a Quality Improvement Intervention to Support Integration of Maternal, and Child and HIV Care in Primary Health Care Facilities in South Africa), which is not on this map. Cited by 12 papers.
What it found
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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.
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.
Evaluation of the Effectiveness of a Quality Improvement Intervention to Support Integration of Maternal, and Child and HIV Care in Primary Health Care Facilities in South Africa
Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- Integrating methadone into primary care settings in Ukraine: effects on provider stigma and knowledge.Journal of the International AIDS Society · 2024Trial
- Quality Assessment Indicators for Well-Child Care in Primary Health Care: A Scoping Review of Global Trends, Standardization, and Dimensions of Care.Children (Basel, Switzerland) · 2026Review
- Contextual and culturally adapted interventions to improve HIV outcomes: a scoping review.BMC infectious diseases · 2025Article
- Effectiveness of dissemination strategies of maternal clinical guidelines: A narrative review.African journal of primary health care & family medicine · 2024Review
- Article
- Strengthening quality in sexual, reproductive, maternal, and newborn health systems in low- and middle-income countries through midwives and facility mentoring: an integrative review.BMC pregnancy and childbirth · 2023Review
- Article
- Early Reflections on Mphatlalatsane, a Maternal and Neonatal Quality Improvement Initiative Implemented During COVID-19 in South Africa.Global health, science and practice · 2022Article
- Improving Primary Care Quality Through Supportive Supervision and Mentoring: Lessons From the African Health Initiative in Ethiopia, Ghana, and Mozambique.Global health, science and practice · 2022Article
- Factors associated with loss to follow up among HIV-exposed children: a historical cohort study from 2000 to 2017, in Porto Alegre, Brazil.BMC public health · 2022Article
- Activity-based costing for HIV, primary care and nutrition services in low- and middle-income countries: A systematic literature review and synthesis.Journal of global health economics and policy · 2021Article
- Uptake of long acting reversible contraception following integrated couples HIV and fertility goal-based family planning counselling in Catholic and non-Catholic, urban and rural government health centers in Kigali, Rwanda.Reproductive health · 2020Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundDespite policies and guidelines recommending integration of health services in South Africa, provision of maternal and child health services remains fragmented. This study evaluated a rapid, scaleable, quality improvement (QI) intervention to improve integration of maternal and child health and HIV services at a primary health level, in KwaZulu-Natal, South Africa.
methodsA three-month intervention comprised of six QI mentoring visits, learning sessions with clinic staff to share learnings, and a self-administered checklist aimed to assist health workers monitor and implement an integrated package of health services for mothers and children. The study evaluated 27 clinics in four sub-districts using a stepped-wedge design. Each sub-district received the intervention sequentially in a randomly selected order. Five waves of data collection were conducted in all participating clinics between December 2016-February 2017. A multi-level, mixed effects logistic regression was used to account for random cluster fixed time and group effects using Stata V13.1.
resultsImprovements in some growth monitoring indicators were achieved in intervention clinics compared to control clinics, including measuring the length of the baby (77% vs 63%; p = 0.001) and health workers asking mothers about the child's feeding (74% vs 67%; p = 0.003), but the proportion of mothers who received feeding advice remained unchanged (38% vs 35%; p = 0.48). Significantly more mothers in the intervention group were asked about their baby's health (44% vs 36%; p = 0.001), and completeness of record keeping improved (40% vs 26%; I = < 0.0001). Discussions with the mother about some maternal health services improved: significantly more mothers in the intervention group were asked about HIV (26.5% vs 19.5%; p = 0.009) and family planning (33.5% vs 19.5%; p < 0.001), but this did not result in additional services being provided to mothers at the clinic visit.
conclusionThis robust evaluation shows significant improvements in coverage of some services, but the QI intervention was unable to achieve the substantial changes required to provide a comprehensive package of services to all mothers and children. We suggest the QI process be adapted to complex under-resourced health systems, building on the strengths of this approach, to provide workable health systems strengthening solutions for scalable implementation.
trial registrationClinicalTrials.gov NCT04278612. Date of Registration: February 19, 2020. Retrospectively registered.
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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.