Evidence map›Paper›PMID 33889212›Full record

ArticleEcancermedicalscience2021

Strengthening breast surgery workforce capacity: implementation of competency-based training programme.

María Eugenia Aponte-Rueda, Maybell Nieves

Abstract read
In one paragraph

Article in Ecancermedicalscience, 2021. 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. Trial
  2. 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

2 authors.

María Eugenia Aponte-RuedaVenezuelan Breast Cancer Research and Education Foundation, Caracas 1060, Venezuela.
Maybell NievesBreast Unit, Caracas University Hospital, Caracas 1040, Venezuela.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and rationaleQuality education is a prerequisite for building a sustainable health system. To address this requirement, it is necessary to strengthen capacity and expand the training opportunities to ensure equitable and efficient development of core professional competencies for specific contexts and educational needs. METHODS AND

resultsA competency-based training programme for Breast Surgeons was built and was applied based on the Consolidated Framework for Implementation Research (CFIR). This framework provides a pragmatic structure for approaching complex interactions, multi-level and transient constructs in the real world. CFIR guided the implementation process and verified what works, where and why across each step. CFIR guided implementation was through an adaptable approach of the domains and creating relevant constructs that set up an ideal roadmap to analyse and improve learning needs, the curriculum design and the learning environment.

conclusionThe outcomes described in this manuscript demonstrate that evidence-based principles can be implemented in health professionals' training and clinical practice even in resource-constrained settings. Building strong and sustainable healthcare workforce capacity is an urgent need for improved health service delivery and addresses real-life workplace needs in low-middle income countries. This programme integrates training with service to solve problems and develop initiatives to address existing local health priorities. While the article focuses on a training programme development, findings are shared to promote dissemination into other settings.

Indexed as

Breast surgerycompetency-based educationhealth workforce developmentimplementation researchlow- and middle-income countriestraining

Identifiers

PMID33889212
PMCPMC8043679

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.