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Record W4301722384

Interprofessional teamwork innovations for primary health care practices and practitioners: evidence from a comparison of reform in three countries

2016· article· en· W4301722384 on OpenAlexaboutno aff
Harris MF, J Advocat, Crabtree BF, Levesque JF, Miller WL, Gunn JM, W Hogg, Scott CM, Chase SM, L Halma, Russell GM

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2016
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsTeamworkPrimary health carePrimary careHealth careNursingMedical educationPsychologyMedicinePolitical scienceFamily medicine
DOInot available

Abstract

fetched live from OpenAlex

Mark F Harris,1 Jenny Advocat,2 Benjamin F Crabtree,3 Jean-Frederic Levesque,1,4 William L Miller,5 Jane M Gunn,6 William Hogg,7 Cathie M Scott,8 Sabrina M Chase,9 Lisa Halma,10 Grant M Russell11 1Center for Primary Health Care and Equity, University of New South Wales, Sydney, NSW, 2Southern Academic Primary Care Research Unit, School of Primary Health Care, Monash University, Notting Hill, VIC, Australia; 3Department of Family Medicine and Community Health, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA; 4Bureau of Health Information, NSW Government, Sydney, NSW, Australia; 5Department of Family Medicine, Lehigh Valley Health Network, Allentown, PA, USA; 6Department of General Practice, The University of Melbourne, Melbourne, VIC, Australia; 7The CT Lamont Primary Care Research Center, The University of Ottawa, Ottawa, ON, 8Alberta Centre for Child, Family, and Community Research, University of Calgary, AB, Canada; 9Rutgers University, Rutgers School of Nursing, Rutgers, NJ, USA; 10Alberta Health Services, Lethbridge, AB, Canada; 11School of Primary Health Care, Monash University, Notting Hill, VIC, Australia Context: A key aim of reforms to primary health care (PHC) in many countries has been to enhance interprofessional teamwork. However, the impact of these changes on practitioners has not been well understood.Objective: To assess the impact of reform policies and interventions that have aimed to create or enhance teamwork on professional communication relationships, roles, and work satisfaction in PHC practices.Design: Collaborative synthesis of 12 mixed methods studies.Setting: Primary care practices undergoing transformational change in three countries: Australia, Canada, and the USA, including three Canadian provinces (Alberta, Ontario, and Quebec).Methods: We conducted a synthesis and secondary analysis of 12 qualitative and quantitative studies conducted by the authors in order to understand the impacts and how they were influenced by local context.Results: There was a diverse range of complex reforms seeking to foster interprofessional teamwork in the care of patients with chronic disease. The impact on communication and relationships between different professional groups, the roles of nursing and allied health services, and the expressed satisfaction of PHC providers with their work varied more within than between jurisdictions. These variations were associated with local contextual factors such as the size, power dynamics, leadership, and physical environment of the practice. Unintended consequences included deterioration of the work satisfaction of some team members and conflict between medical and nonmedical professional groups.Conclusion: The variation in impacts can be understood to have arisen from the complexity of interprofessional dynamics at the practice level. The same characteristic could have both positive and negative influence on different aspects (eg, larger practice may have less capacity for adoption but more capacity to support interprofessional practice). Thus, the impacts are not entirely predictable and need to be monitored, and so that interventions can be adapted at the local level.Keywords: interprofessional care, primary health care, teamwork, research synthesis

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)0.040
metaresearch head score (Gemma)0.122
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.122
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.008
Science and technology studies0.0040.006
Scholarly communication0.0060.006
Open science0.0030.012
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.357
GPT teacher head0.675
Teacher spread0.319 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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