Evidence map›Paper›PMID 40032519›Full record

ArticleBMJ global health2025

Factors associated with successful implementation of Clean Cut: a perioperative surgical site infection prevention quality improvement programme-a cohort study of low-resource hospitals.

Maia R Nofal, Natnael Gebeyehu, Nichole Starr, Assefa Tesfaye, Sedera Arimino, Sara Taye Haile, Tihitena Negussie Mammo, Thomas G Weiser

Abstract read
In one paragraph

Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Maia R NofalDepartment of Surgery, Boston Medical Center, Boston, Massachusetts, USA maia.nofal@bmc.org.ORCID http://orcid.org/0000-0003-2532-4514
Natnael GebeyehuLifebox Foundation, London, UK.
Nichole StarrLifebox Foundation, London, UK.
Assefa TesfayeLifebox Foundation, London, UK.
Sedera AriminoLifebox Foundation, London, UK.
Sara Taye HaileLifebox Foundation, London, UK.
Tihitena Negussie MammoLifebox Foundation, London, UK.
Thomas G WeiserLifebox Foundation, London, UK.ORCID http://orcid.org/0000-0002-3118-3888

Funding

Research Mentoring and Building Capacity of underrepresented Minority Research Scientists in India.D43TW010540 · FIC · YALE UNIVERSITY · PI MICHELE BARRY, Eva Harris · 2017 to 2026
$15.5M
FIC NIH HHS D43 TW010540
6 · The paper itself

Abstract

introduction"Clean Cut" is an adaptive, multimodal surgical quality improvement (QI) programme that has been associated with significant reductions in surgical site infections. Following implementation in multiple hospitals and countries, we noted variability in impact. We aimed to understand the attributes of hospitals that contribute to the success of a perioperative QI programme in resource-limited settings. We hypothesised that factors related to hospital context before implementation influenced programme success.

methodsHospital context assessments were undertaken in 18 hospitals in low-income countries prior to the implementation of Clean Cut, which focuses on improving perioperative infection prevention and control (IPC) standards. We assessed staffing, training, infrastructure and prior QI experience. Hospitals also self-assessed compliance with six standards embedded in the IPC programme and compared reported compliance to the baseline compliance observed by trained data collectors. We defined high-improvement hospitals as those who improved three or more of the six standards by either doubling compliance while also achieving a minimum final compliance>50% or reaching a final compliance>90%. We compared context assessments of high- and low-improvement hospitals.

resultsInfrastructure, trainings and QI experience were not associated with larger improvements. However, high-improvement hospitals had fewer operating room staff (p=0.046) and overestimated their baseline compliance with IPC standards (p=0.032).

conclusionClean Cut implementation was more successful with smaller staff numbers, reflecting challenges with engaging large numbers of stakeholders. High-improvement hospitals overestimated baseline IPC practices, suggesting that this programme is most beneficial when it identifies gaps that hospitals were previously unaware of. Reassuringly, improvements were not dependent on specific resources, indicating that the approach can be implemented in many environments.

Indexed as

HospitalsInfection ControlPerioperative CareQuality ImprovementSurgical Wound InfectionCohort StudiesDeveloping CountriesGuideline AdherenceHumansProgram EvaluationGlobal HealthHealth systemsHospital-based studyOther infection, disease, disorder, or injurySurgery

Identifiers

PMID40032519
PMCPMC11877271

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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.