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Record W4214873002 · doi:10.2196/28625

Evidence for Continuing Professional Development and Recency of Practice Standards for Regulated Health Professionals in Australia: Protocol for a Systematic Review

2022· review· en· W4214873002 on OpenAlexvenueno aff
Penelope Ann Elizabeth Main, Sarah Anderson

Bibliographic record

VenueJMIR Research Protocols · 2022
Typereview
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsnot available
Fundersnot available
KeywordsOperationalizationSystematic reviewProtocol (science)Inclusion (mineral)Medical educationEvidence-based practiceContinuing professional developmentGrey literatureMedicineEvidence-based medicineMEDLINEHealth professionalsProfessional developmentHealth carePsychologyAlternative medicinePolitical sciencePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Continuing professional development (CPD) and recency of practice (ROP) standards are components of health practitioner regulation in Australia. The CPD and ROP standards are currently under review, and an evidence base to assist the development of consistent standards is required. Preliminary searching was unable to find a recent systematic review of the literature to provide an evidence base to underpin the standards review. OBJECTIVE: This paper presents the protocol for a systematic review that aims to develop a current evidence base that will support the National Boards to develop more consistent, evidence-based, effective standards that are clear and easy to understand and operationalize. METHODS: Research questions were developed to support the planned review of CPD and ROP registration standards. Major databases and relevant journals were searched for articles published in English between 2015 and 2021, using key search terms based on previous unpublished reviews of the CPD and ROP registration standards. The quality of the articles retrieved will be assessed using an instrument suitable for use in the development of public policy. The findings will be published in a peer-reviewed journal. RESULTS: In September 2021, our search strategy identified 18,002 studies for the CPD-related research questions after removal of duplicates. Of these, 509 records were screened based on their title, and 66 full-text articles were assessed for eligibility based on their abstract, of which 31 met the inclusion criteria. A further 291 articles were identified as relevant to the ROP research questions. Of these, 87 records were screened based on their title, and 46 full-text articles were assessed for eligibility based on their abstract, of which 8 studies met our inclusion criteria. CONCLUSIONS: This protocol outlines the scope and methodology that will be used to conduct a systematic review of evidence for CPD and ROP and inform a review of the standards for regulated health professionals in Australia. Previous research has shown that while CPD improves practitioner knowledge, the link to public safety is unclear. While there has been a greater focus on maintenance of certification and other quality assurance activities over the past 10 years, there remains great variability in CPD requirements across both professions and jurisdictions. ROP was found to be a poorly researched area with most research concentrating on medical practitioners, nurses, and midwives and no clear consensus about the optimal time period after which retraining or an assessment of competence should be introduced. As the CPD and ROP standards are currently under review, it is timely that a review of current evidence be undertaken. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/28625.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.137
metaresearch head score (Gemma)0.173
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.137
Threshold uncertainty score0.726

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1370.173
Meta-epidemiology (narrow)0.0060.005
Meta-epidemiology (broad)0.0140.017
Bibliometrics0.0180.018
Science and technology studies0.0050.006
Scholarly communication0.0090.010
Open science0.0060.007
Research integrity0.0100.009
Insufficient payload (model declined to judge)0.0520.010

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.884
GPT teacher head0.804
Teacher spread0.079 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2022
Admission routes1
Has abstractyes

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