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Record W4406900731 · doi:10.1136/fmch-2024-003115

Impact of changes in primary care attachment: a scoping review

2025· review· en· W4406900731 on OpenAlexafffundabout
Antoine St-Amant, Kamila Premji, Jonathan Fitzsimon

Bibliographic record

VenueFamily Medicine and Community Health · 2025
Typereview
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsUniversity of OttawaWestern UniversityInstitut du Savoir Montfort
FundersFaculty of Medicine, University of OttawaInstitut du savoir Montfort-RechercheUniversity of Ottawa
KeywordsCritical appraisalChecklistScopusHealth careEquity (law)Systematic reviewInclusion (mineral)PsychologyNursingMedicineMEDLINEFamily medicinePolitical scienceAlternative medicineSocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVES: Primary care attachment represents an inclusive, equitable and cost-effective way of enhancing health outcomes globally. However, the growing shortage of family physicians threatens to disrupt patient-provider relationships. Understanding the consequences of these disruptions is essential for guiding future research and policy. The objectives of this study were to map the existing evidence on the impacts of changes in primary care attachment, identify research gaps and recommend areas for further investigation. DESIGN: Scoping review following Joanna Briggs Institute (JBI) guidelines and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews checklist. Two researchers conducted all stages of screening, and study quality was assessed using JBI critical appraisal tools. Key themes included causes of attachment change, direction of change and outcomes aligned with the quintuple aim framework. Both qualitative and quantitative findings were synthesised narratively. ELIGIBILITY CRITERIA: Peer-reviewed, English-language articles published between 1999 and 2024 on primary care attachment changes. INFORMATION SOURCES: PubMed, Scopus and Web of Science. RESULTS: Of 2045 studies screened, 31 met inclusion criteria, with 60% published after 2020. Most studies originated from high-income countries, particularly the USA (35%) and Canada (29%). Attachment losses and transfers were the most frequently studied, while attachment and unattachment durations were less explored. These changes in attachment were consistently shown to impact patients, providers, clinics and the healthcare system, influencing all aims of the quintuple aim framework, including clinical outcomes, healthcare utilisation, costs, equity and patient experience. Commonly assessed outcomes included clinical impact (68%), health equity (48%), patient experience (32%) and costs (23%), with no study assessing provider experience. CONCLUSIONS: This scoping review maps the published literature on changes in primary care attachment and introduces clarifying terminology. Key research gaps include geographical diversity (lack of studies from low- and middle-income countries), attachment gain (limited research on strategies to reconnect unattached patients), attachment duration (insufficient evidence on long-term health outcomes), economic implications (underexplored costs of physician turnover and disruption), provider experiences (lack of studies on how changes in primary care attachment impact provider burnout, job satisfaction and workload) and patient health outcomes (focus on healthcare utilisation rather than direct health outcomes). These findings underscore the need for further research and offer valuable insights for future studies and policy development.

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)0.034
metaresearch head score (Gemma)0.149
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: Review · Consensus signal: Review
Teacher disagreement score0.034
Threshold uncertainty score0.181

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.149
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0050.008
Bibliometrics0.0220.024
Science and technology studies0.0020.002
Scholarly communication0.0070.006
Open science0.0020.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.290
GPT teacher head0.591
Teacher spread0.301 · 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
GenreReview

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

Citations8
Published2025
Admission routes3
Has abstractyes

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