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Family caregivers’ perceptions of hospital‐based allied health services post‐stroke: Use of the Measure of Processes of Care to investigate processes of care

2010· review· en· W2122288023 on OpenAlexaff
Annette Lovat, Rachel Mayes, David McConnell, Lindy Clemson

Bibliographic record

VenueAustralian Occupational Therapy Journal · 2010
Typereview
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsUniversity of Alberta
FundersNational Stroke FoundationStroke AssociationStroke Foundation
KeywordsPerceptionFamily caregiversHealth careAdaptation (eye)Reliability (semiconductor)Consistency (knowledge bases)PsychologyStroke (engine)Health professionalsMedicineTest (biology)NursingFamily medicine

Abstract

fetched live from OpenAlex

AIM: To investigate family caregiver perceptions of allied health professional processes of care and support in hospital following stroke, and to test an adapted version of the Measure of Processes of Care (MPOC) for its suitability of use in the stroke care setting. METHODS: The first stage involved the adaptation and refinement of the MPOC, designed to measure caregiver perceptions of processes of professional care and support across five care dimensions. The second stage involved mailing out of questionnaires to primary caregivers of stroke survivors. A total of 107 completed questionnaires were included in the analysis. The reliability of the adapted questionnaire was assessed and summary statistics were computed. RESULTS: The reliability of the adapted MPOC was found to be high, with good internal consistency of items within each subscale. Mean scores indicated that caregivers were most likely to report negative perceptions of the way allied health professionals engaged with and supported them, particularly in the area of information provision. CONCLUSION: The number of families being affected by stroke is predicted to rise substantially in the near future. Allied health professionals have a significant role to play in supporting family caregivers. Results highlight caregiver-identified areas of weakness in current clinical practice.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.295
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.074
GPT teacher head0.368
Teacher spread0.294 · 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 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

Citations6
Published2010
Admission routes1
Has abstractyes

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