Evidence map›Paper›PMID 41592896›Full record

ArticleBMJ health & care informatics2026

Implementation strategy for data-driven surgical systems: a South African perspective.

Hyla-Louise Kluyts, Bruce M Biccard, Kathryn Chu, Salome Maswime, Nicholas Crisp

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hyla-Louise KluytsDepartment of Anaesthesiology, Sefako Makgatho Health Sciences University, Pretoria, Gauteng, South Africa hyla.kluyts@smu.ac.za.ORCID http://orcid.org/0000-0002-9917-1330
Bruce M BiccardDepartment of Anaesthesia and Perioperative Medicine, University of Cape Town Faculty of Health Sciences, Observatory, Western Cape, South Africa.ORCID http://orcid.org/0000-0001-5872-8369
Kathryn ChuGlobal Health, Stellenbosch University Faculty of Medicine and Health Sciences, Cape Town, Western Cape, South Africa.ORCID http://orcid.org/0000-0002-8923-7447
Salome MaswimeGlobal Surgery Division, Department of Surgery, University of Cape Town Faculty of Health Sciences, Observatory, Western Cape, South Africa.
Nicholas CrispUniversity of Pretoria, Pretoria, Gauteng, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical care is essential to achieving universal health coverage, yet many African low-income, lower-middle-income countries (LMICs) and upper-middle-income countries - including South Africa-struggle to harness healthcare data for surgical system strengthening. Despite global advocacy efforts and the adoption of surgical indicators such as perioperative mortality rate and surgical volume, fragmented routine health information systems, limited human resource capacity and siloed data architecture hinder effective, data-informed planning and policy. Drawing on a South African case study, this high-level perspective highlights institutional momentum for integrating routine perioperative data into strategic health planning, while also identifying key technical and operational challenges. The study demonstrated the inability of clinician-led initiatives to generate routine perioperative health information to guide practice at an institutional level. To close the implementation gap, a context-adapted approach, that includes participatory network weaving, stakeholder-driven data use cases and collaborative planning for interoperable data systems, is proposed. These elements are positioned within an implementation framework designed to support policy development, guide clinical practice and improve access to safe, high-quality surgical care across African countries. We propose taking advantage of opportunities for concurrent implementation assessment and adaptation of a clinical health information system module for South African surgical patients.

Indexed as

Health Information SystemsDeveloping CountriesHumansResource-Limited SettingsSouth AfricaDelivery of Health CareHealth EquityHealth Information SystemsImplementation ScienceUniversal Health Care

Identifiers

PMID41592896
PMCPMC12853495

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LicenceCC BY-NC
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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.