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Record W2965936943 · doi:10.1016/j.puhe.2019.06.009

Integrating behaviour change counselling into chronic disease management: a square peg in a round hole? A system-level exploration in primary health care

2019· article· en· W2965936943 on OpenAlexaff
Michael Vallis, Dayna Lee‐Baggley, Tara Sampalli, Donald S. Shepard, L. McIssaac, Ashley Ryer, S. Ryan-Carson, Stewart Manley

Bibliographic record

VenuePublic Health · 2019
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsNova Scotia Health AuthorityDalhousie University
FundersBat Conservation InternationalAmerican Institute of Mathematics
KeywordsCompetence (human resources)PsychosocialNursingScope of practiceMedical educationContext (archaeology)MedicineHealth carePsychologySocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVES: The objective of this study is to evaluate the uptake of competency-based behaviour change counselling training within a primary healthcare setting. Specific questions concerning provider readiness for training, perceived importance of training in the context of service demands and perceptions of competence after training were addressed. STUDY DESIGN: A process-focused study which adopted a complex systems approach to implementation. Each step was evaluated before the next step was developed. The design was guided by the RE-AIM (reach, effectiveness, adoption, implementation, maintenance) framework. METHODS: Four specific primary care services were identified and behaviour change counselling training tailored to each service was provided, based on a model of training built around competencies in establishing change-based relationships, assessing and promoting readiness to change, using evidence-based behaviour modification skills when ready and addressing psychosocial determinants of behaviour within scope of practice. Before training, a manager's readiness to facilitate training and identification of peer leaders to support ongoing practice of skills were completed. RESULTS: Two programs negotiated 8 h of formal training, one program received 10 h and one program received 12 h. All programs engaged in peer support activities. Despite willingness to support training, 90% of managers were ambivalent about training activities, relative to one half of healthcare providers (HCPs). Few HCPs and no managers self-identified as ready without ambivalence. Furthermore, HCPs were reluctant to be evaluated by an expert and preferred self-evaluation methods. In contrast, HCPs uniformly endorsed the relevance, value and professional commitment to all component skills of the behaviour change counselling model. At the end of the training, over 75% of staff reported receiving formal training (reach). Almost 80% of staff reported using change-based relationship skills daily, with less frequent use of skills associated with addressing psychosocial issues. The degree of corrective feedback was generally low, however. An index of competency based on formal training, frequent use and receiving corrective feedback indicated that most HCPs did not meet these criteria. CONCLUSION: Training in behaviour change counselling competencies was successfully implemented in this project. The vast majority of HCPs received training, despite ambivalence. Furthermore, HCPs strongly valued these skills and used them frequently. However, they were reluctant to accept corrective feedback. Future research is needed to evaluate innovative strategies to overcome obstacles to receiving corrective feedback in the use of behaviour change counselling skills.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.149
GPT teacher head0.404
Teacher spread0.255 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations20
Published2019
Admission routes1
Has abstractyes

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