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Record W4385647058 · doi:10.1093/bjsw/bcad183

Looking Through the Eyes of General Practitioners: The Role of Social Work in Primary Health Care

2023· article· en· W4385647058 on OpenAlexaff
Nele Feryn, Pauline Boeckxstaens, Rachelle Ashcroft, Joris De Corte, Rudi Roose

Bibliographic record

VenueThe British Journal of Social Work · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of Toronto
FundersUniversiteit Gent
KeywordsSocial workCapitationPublic relationsWork (physics)Health careSocial WelfareNursingPerceptionMedicinePsychologyEconomic growthPolitical science

Abstract

fetched live from OpenAlex

Abstract In Flanders, Belgium, a primary healthcare reform is ongoing to strengthen the health system and work towards improving integrated care. At the core of this transformation stands a person-centred perspective that considers social factors, which increases the tendency for collaboration between health and welfare systems. Primary care physicians and social workers are urged to collaborate; however, the way general practitioners (GPs) define and utilise the role of social work remains unclear. This study explores the perceptions of GPs regarding the role of social work. Semi-structured interviews were conducted with twenty-three GPs, working under both fee-for-service and capitation financing systems, with varying years of experience and in different geographical areas. The findings reveal that physicians recognise the influence of social factors on their patients care needs, yet, struggle with addressing them. Due to limited experience and understanding of the role of social work, GPs primarily focus on its value in individual cases, whilst having less awareness of their role and potential at the neighbourhood, organisational or population level. This study identified different factors that either facilitate or hinder collaboration with social work. The implications for the social work profession and future joint efforts are discussed.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0070.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.024
GPT teacher head0.351
Teacher spread0.327 · 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 designQualitative
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

Citations4
Published2023
Admission routes1
Has abstractyes

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