ArticleHuman resources for health2023
Integrating competency analysis into national rehabilitation workforce evaluation: a case study.
Article in Human resources for health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
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Who cites it
2 citing papers in PubMed.
- From professional appeal to professional standard: reframing the Italian rehabilitation workforce through evidence, regulation, and global alignment.Frontiers in public health · 2026Article
- Supply shortages of the occupational therapy workforce in Italy: cross-regional and nationwide analysis against key benchmarks.BMC health services research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundEstablishing a workforce capable of meeting population needs is contingent on evaluation that can inform sound policy and planning. Health workforce evaluation has traditionally relied on health labour market analysis and workload estimations. To date, competency analysis has not been included in national health workforce evaluation, despite that fact that the findings may go far in guiding decisions around workforce composition, optimisation and education and training. This case study sought to assess the feasibility and perceived added value of integrating competency analysis into national rehabilitation workforce evaluation, and to determine how competency analysis can shape rehabilitation workforce planning. The findings of the case study can be used to explore the integration of competency analysis in the evaluation of other health-related occupational groups.
methodsParticipant observation was complemented by key informant interviews with experts engaged in the national rehabilitation workforce evaluation in Poland. These experts represented stakeholders in policy, education, research, clinical practice and professional associations.
resultsThe results indicated that competency analysis can be feasibly integrated into national rehabilitation workforce evaluation, particularly when implementation is supported through the use of online platforms. However, the collection of additional data using other tools, such as a survey of the behaviours and tasks of a wider sample of rehabilitation workers, could strengthen data reliability. Experts perceived findings of the competency analysis to be valuable for expanding the understanding of rehabilitation, shedding light on task allocation and deployment of the existing rehabilitation workforce, and advocating for the rehabilitation workforce to be strengthened, especially in relation to those occupations which may not be recognised or valued as rehabilitation workers. Although it was not possible to fully explore the impact of competency analysis data on rehabilitation workforce planning and development in this study, experts suggested that its availability would likely foster greater cooperation among occupations, which has been missing at the policy and planning level to date. It further demonstrates what competency data should be collected and reported, and provides richer information to guide decisions.
conclusionsCompetency analysis complements traditional labour market analysis and workload estimates, adding depth to the understanding of how members of the workforce perform and perceive themselves, and how deficiencies in the workforce impact on the provision of care to specific population groups.
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Registered trials
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.