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Record W3162349440 · doi:10.5334/ijic.5556

The Influence of Contextual Factors on the Process of Formulating Strategies to Improve the Adoption of Care Manager Activities by Primary Care Nurses

2021· article· en· W3162349440 on OpenAlexaff
Ariane Girard, Pasquale Roberge, Édith Ellefsen, Joëlle Bernard‐Hamel, Jean‐Daniel Carrier, Catherine Hudon

Bibliographic record

VenueInternational Journal of Integrated Care · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeUniversité de Sherbrooke
Fundersnot available
KeywordsThematic analysisNursingPsychologyContext (archaeology)Qualitative researchWork (physics)Process (computing)Knowledge managementProcess managementBusinessMedicineComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Primary care nurses are well-suited to provide care management for common mental disorders, but their practices depend on context. Various strategies can be considered to improve the adoption of nursing care manager activities, but data from implementation studies rarely address strategy formulation. AIM: To analyze the influence of contextual factors on strategy formulation to improve the adoption of care manager activities by primary care nurses. METHOD: A qualitative multiple case study in three primary care clinics was carried out. Data were collected through individual interviews (n = 32) and observations (n = 7), working group meetings, and relevant documents. Thematic analysis was conducted. RESULTS: Contextual factors influenced strategy formulation through organizational readiness for change, which resulted from tension for change and perceived organizational ability to implement change. Tension for change was generated through the perceived gap between patient needs and service availability, perceived compatibility with the nurses work environment, and their assessment of their capacity to perform care manager activities or acquire the necessary skills. CONCLUSION: Future studies should give sufficient attention to implementation strategy formulation and consider the dynamic role of organizational readiness for change when facilitating the adoption of evidence-based practices for common mental disorders in primary care.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.089
GPT teacher head0.520
Teacher spread0.431 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2021
Admission routes1
Has abstractyes

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