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Record W7162024851 · doi:10.82308/48928

Development of a measure to describe the practice context of Healthcare professionals

2022· dissertation· en· W7162024851 on OpenAlexaboutno aff
Catherine George

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Health careConstruct (python library)Scale (ratio)Test (biology)Construct validityAgency (philosophy)Focus group

Abstract

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Introduction: Healthcare professionals such as nurses, occupational therapists, physicians, and physiotherapists are expected to mobilize knowledge, skills, and attitudes, also referred to as competencies, when providing care and services to patients. Professional competencies are influenced by an interplay of internal (individual characteristics) and external characteristics (contextual characteristics). While individuals’ internal resources have been the focus of research on professional competencies, contextual characteristics have received less attention. Existing measures of context are limited, and those that do exist, primarily focus on a single contextual characteristic, tend to consider the influence of context on one competency or are developed for a single profession.Objective: To initiate the development of a questionnaire documenting the contextual characteristics that might influence the enactment of perceived competencies for four healthcare professions.Methods: The measure was developed following DeVellis’ Scale Development Guidelines: 1) Defining the construct of interest - context; 2) Generating items based on the contextual characteristics identified through a scoping review; 3) Determining the measurement response format; 4) Expert review of the clarity, relevance, and comprehensiveness of the items; 5) Not applicable as it includes validity testing which is not required at this stage of questionnaire development; 6) Pilot-testing the questionnaire with healthcare professionals working in Canada; 7) Evaluating individual items based on Classical Test Theory; and 8) Optimizing the questionnaire length for validity and response time.Results: We identified five themes through a scoping review, namely: 1) Leadership and Agency, 2) Values, 3) Policies, 4) Supports, and 5) Demands including 12 contextual characteristics each. The first theme Leadership and Agency refers to the leaders’ characteristics, their attitudes, and the opportunities they provide to healthcare professionals to be independent and contribute to the decisions made within the organization. The second theme Values refers to the principles and norms that guide the actions of other healthcare professionals and the organization. The third theme Policies refers to the aspects of healthcare that are enforced by regulations of the organization, professional bodies, and legislature on healthcare professionals. The fourth theme Supports describes the organization’s actions and/or initiatives that facilitate healthcare professionals’ work. The final theme Demands refers to the roles and responsibilities that are expected and required of healthcare professionals. The questionnaire subscales and items were based on the themes and the contextual characteristics respectively. A total of 117 items were piloted with a sample of 127 healthcare professionals (n=33 nurses, 32 occupational therapists, 27 physicians, 35 physiotherapists) working primarily in Quebec. Following the removal of items based on item discrimination and item correlation scores, the internal consistency scores on the Cronbach’s alphas for the five subscales (with 12 items each) were 0.9, 0.9, 0.9, 0.9, and 0.7 respectively.Conclusion: With some additional revisions and psychometric testing, the questionnaire will be used to document the characteristics of the context which might influence the enactment of perceived competencies of healthcare professionals. The questionnaire will eventually contribute to our understanding of the influence of context on professional competencies

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)0.014
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.051
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.050
GPT teacher head0.406
Teacher spread0.356 · 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 designBench or experimental
Domainnot available
GenreMethods

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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