Evidence map›Paper›PMID 39703984›Full record

ArticleJournal of global health2024

A multi-phase structured cascade model for mass training of community healthcare workers in performing clinical breast exams in remote regions.

Taleaa Masroor, Russell S Martins, Aiman Arif, Talaiha Chughtai, Falak Madhani, Nida Zahid, Sana Zeeshan, Lubna Vohra, Salima Khan, Mishal Hidayat and 3 more

Abstract read
In one paragraph

Article in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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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

13 authors.

Taleaa MasroorDepartment of Surgery, John Hopkins University, Baltimore, Maryland, USA.
Russell S MartinsDivision of Thoracic Surgery, Department of Surgery, Hackensack Meridian School of Medicine, Hackensack Meridian Health Network, Edison, New Jersey, USA.
Aiman ArifAga Khan University, Karachi, Pakistan.
Talaiha ChughtaiAga Khan Health Services, Karachi, Pakistan.
Falak MadhaniAga Khan Health Services, Karachi, Pakistan.
Nida ZahidAga Khan University, Karachi, Pakistan.
Sana ZeeshanAga Khan University, Karachi, Pakistan.
Lubna VohraAga Khan University, Karachi, Pakistan.
Salima KhanAga Khan Health Services, Karachi, Pakistan.
Mishal HidayatAga Khan Health Services, Karachi, Pakistan.
Hamna AmirAga Khan University, Karachi, Pakistan.
Sajid Bashir SoofiAga Khan University, Karachi, Pakistan.
Abida K SattarAga Khan University, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Clinical breast exam (CBE) by outreach healthcare workers (HCW) may help downstage breast cancer in resource-limited areas where mammography may not be feasible. We evaluated the effectiveness of a pilot cascade-model training programme for HCWs in remote areas of Pakistan. Methods: The training programme comprised three phases. In phase one, fellowship-trained breast surgeons at a metropolitan academic centre trained six HCWs to perform CBEs. In phase two, these six HCWs (master trainers) trained 15 additional HCWs, implementing cascade training. In phase three, the consultant breast surgeon conducted a re-evaluation and refresher course for all 21 HCWs at least one year after the original training session. We assessed CBE ability and skills through pre- and post-changes through self-reported confidence and direct observation of procedural skills. Results: Significant improvements in learners' self-reported confidence and CBE skills were observed in both phases one and two. The median scores in the learners' post-training self-reported confidence and CBE skills (inspection, palpation, and lymph node examination) improved by 20% and 46.2%, respectively, indicating excellent learning outcomes of the cascade training sessions. Phase three showed sustained high scores in self-reported confidence and CBE skills more than one year later. Conclusions: Mass training of outreach HCWs in remote regions in performing CBE may be possible with a structured multiphase cascade-training model and may be an important step in downstaging symptomatic breast cancer in low-resource settings.

Indexed as

Breast NeoplasmsCommunity Health WorkersAdultClinical CompetenceEarly Detection of CancerFemaleHumansMiddle AgedModels, EducationalPakistanPilot ProjectsProgram Evaluation

Identifiers

PMID39703984
PMCPMC11659790

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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.