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Record W4205203463 · doi:10.5334/ijic.5965

Provider and Manager Perspectives on the Use of an Integrated Clinical Pathway for Community-Dwelling Older Adults: A Qualitative Case Study

2022· article· en· W4205203463 on OpenAlexaffabout
Paul Wankah, Isabelle Gaboury, Louise Belzile, Mylaine Breton

Bibliographic record

VenueInternational Journal of Integrated Care · 2022
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsThematic analysisIntegrated careNursingQualitative researchHealth careScope (computer science)PsychologyMedicineKnowledge managementProcess managementBusinessSociologyComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Integrated care pathways (ICPs) could improve the organisation and delivery of care for community dwelling older adults. An ICP was developed and implemented in Québec to support home care processes. This study explores the perspectives of home care staff on the use of an ICP to support the organisation and delivery of health and social care to community-dwelling older adults with complex needs. THEORY AND METHODS: A case study based on eleven semi-structured interviews and analysis of documents was carried out in an urban home care unit. The Normalization Process Theory was used for mixed thematic analysis. RESULTS: While its capacity to store data and enhance interprofessional information exchange was appreciated by home care staff, the broad scope, and automated features of the ICP tool were often problematic. Concerns about increased provider workloads, disruption to provider-client relationships during clinical encounters, and difficulties engaging clients in decision-making were main obstacles in the use of the ICP. CONCLUSION: Given the importance of ICPs in advancing clinical integration, it is critical to continuously adjust their design to align with providers' realities in order to optimize their potential in real life contexts.

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)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.014
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 science0.0000.000
Research integrity0.0000.002
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 head0.329
GPT teacher head0.537
Teacher spread0.208 · 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

Citations2
Published2022
Admission routes2
Has abstractyes

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