Evidence map›Paper›PMID 41484930›Full record

ReviewBMC global and public health2026

The evolution of supportive supervision in low- and middle-income countries.

Khaled Shorbaji, Gabriel L Shedul, Nanna Ripiye, Dike Ojji, Lisa R Hirschhorn, Charles W Goss, Mark D Huffman

Abstract readReview
In one paragraph

Review in BMC global and public health, 2026. 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. Review
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

7 authors.

Khaled ShorbajiDepartment of Medicine, Washington University in St Louis, St Louis, MO, USA. k.shorbaji@wustl.edu.
Gabriel L ShedulCardiovascular Research Unit, University of Abuja, Abuja, Nigeria.
Nanna RipiyeCardiovascular Research Unit, University of Abuja, Abuja, Nigeria.
Dike OjjiCardiovascular Research Unit, University of Abuja, Abuja, Nigeria.
Lisa R HirschhornHavey Institute for Global Health, Northwestern University Feinberg School of Medicine, RobertChicago, IL, USA.
Charles W GossDepartment of Medicine, Washington University in St Louis, St Louis, MO, USA.
Mark D HuffmanDepartment of Medicine, Washington University in St Louis, St Louis, MO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supportive supervision has shifted in low- and middle-income countries (LMICs) from hierarchical, inspection-based oversight toward collaborative, mentorship-driven approaches that emphasize two-way communication, joint problem-solving, and formative feedback. Evidence across diverse LMIC settings shows that supportive supervision can produce measurable improvements in healthcare worker performance, with particularly large gains when supervisors themselves receive coaching and when supervisory encounters prioritize collaborative problem-solving. Innovations such as peer and group supervision, facility-based internal supervision, and digital platforms have expanded the reach and adaptability of supervision systems, although digital tools alone consistently yield modest improvements in provider practices. Broader implementation packages that pair supervision with health-system enablers-such as strengthened infrastructure, supply chains, financing, and management-achieve substantially larger effects than supervision combined with training alone, highlighting the importance of addressing structural barriers to performance. Despite its demonstrated potential, supportive supervision is not a standalone solution; its effectiveness depends on alignment with local context, clear definitions and expectations, adequate resourcing, and integration within broader quality-improvement and systems-strengthening strategies. When selected through structured problem diagnosis and paired with appropriate complementary interventions, supportive supervision offers a pragmatic, scalable approach to improving frontline clinical performance and advancing high-quality, equitable care in LMIC health systems.

Indexed as

Digital tools for supervisionHealthcare worker performanceHealth systems strengtheningImplementation scienceLow- and middle-income countries (LMICs)Peer supervisionSupportive supervision

Identifiers

PMID41484930
PMCPMC12763964

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.