Evidence map›Paper›PMID 41369656›Full record

ArticleThe British journal of surgery2025

Training needs analysis of surgical teams in Somaliland.

Gerard McKnight, Hassan Ali Daoud, Rocco Friebel, Rachel Hargest

Abstract read
In one paragraph

Article in The British journal of surgery, 2025. 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. 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

4 authors.

Gerard McKnightSchool of Medicine, Cardiff University, Heath Park, Cardiff, UK.ORCID 0000-0003-1546-7853
Hassan Ali DaoudSuuban Center for Health System Strengthening, Hargeisa, Somaliland.
Rocco FriebelGlobal Surgery Policy Unit, LSE Health, London School of Economics and Political Science, London, UK.
Rachel HargestSchool of Medicine, Cardiff University, Heath Park, Cardiff, UK.ORCID 0000-0001-9830-3832

Funding

Foreign and Commonwealth OfficeUK GovernmentUK Humanitarian Innovation Hub
6 · The paper itself

Abstract

introductionPrioritizing resources is essential for low-income countries aiming to improve surgical systems effectively. Few validated tools exist to facilitate this. The authors aimed to address this through the novel application of an existing training needs analysis (TNA) tool to a surgical context in a low-income country.

methodsA questionnaire was designed as a mixed-methods, online survey to capture quantitative and qualitative data based on the Hennessy-Hicks training needs analysis (HHTNA) Questionnaire. The survey was distributed by collaborating organizations in Somaliland.

resultsResponses were received from 41 anaesthesia providers (APs) and 69 surgical providers (SPs), giving a response rate of approximately 59% of APs, 33% of surgeons, and 21% of obstetricians in Somaliland. The HHTNA of APs highlighted that emergency front of neck access (cricothyroidotomy) was a 'high intervention priority' procedure among APs. Regional anaesthesia, medical management of co-morbidities, and anaesthesia in geriatric populations were also considered performance outliers and should also be the focus of further intervention. Importantly, mixed interventions were desired, indicating that training alone would be insufficient, and that improvements to the work situation also need to be addressed.

conclusionThis study has demonstrated that conducting a pragmatic TNA of the surgical team in a low-resource setting, such as Somaliland, is both feasible and can generate useful data to guide training and professional development.

Indexed as

General SurgeryNeeds AssessmentPatient Care TeamAnesthesiologyDeveloping CountriesFemaleHumansMaleSomaliaSurveys and Questionnaires

Identifiers

PMID41369656
PMCPMC12690757

What OpenQuestion holds

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LicenceCC BY
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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.