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Record W4223644610 · doi:10.1186/s12877-022-02943-6

Recommendations made by patients, caregivers, providers, and decision-makers to improve transitions in care for older adults with hip fracture: a qualitative study in Ontario, Canada

2022· article· en· W4223644610 on OpenAlexafffundabout
Lauren Cadel, Kerry Kuluski, Amanda C. Everall, Sara J. T. Guilcher

Bibliographic record

VenueBMC Geriatrics · 2022
Typearticle
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsInstitute for Work & HealthTrillium Health CentreUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsMedicineStaffingHip fractureQualitative researchService providerRehabilitationHealth careNursingFamily medicinePhysical therapyService (business)Osteoporosis

Abstract

fetched live from OpenAlex

BACKGROUND: Older adults frequently experience fall-related injuries, including hip fractures. Following a hip fracture, patients receive care across a number of settings and from multiple different providers. Transitions between providers and across settings have been noted as a vulnerable time, with potentially negative impacts. Currently, there is limited research on how to improve experiences with transitions in care following a hip fracture for older adults from the perspectives of those with lived experienced. The purpose of this study was to explore service recommendations made by patients, caregivers, healthcare providers, and decision-makers for improving transitions in care for older adults with hip fracture. METHODS: This descriptive qualitative study was part of a larger longitudinal qualitative multiple case study. Participants included older adults with hip fracture, caregivers supporting an individual with hip fracture, healthcare providers, and decision-makers. In-depth, semi-structured interviews were conducted with all participants, with patients and caregivers having the opportunity to participate in follow-up interviews as they transitioned out of hospital. All interviews were audio-recorded, transcribed verbatim, and analyzed thematically. RESULTS: A total of 47 participants took part in 65 interviews. We identified three main categories of recommendations: (1) hospital-based recommendations; (2) community-based recommendations; and (3) cross-sectoral based recommendations. Hospital-based recommendations focused on treating patients and families with respect, improving the consistency, frequency, and comprehensiveness of communication between hospital providers and between providers and families, and increasing staffing levels. Community-based recommendations included the early identification of at-risk individuals and providing preventative and educational programs. Cross-sectoral based recommendations were grounded in enhanced system navigation through communication and care navigators, particularly within primary and community care settings. CONCLUSIONS: Our findings highlighted the central role primary care can play in providing targeted, integrated services for older adults with hip fracture. The recommendations outlined have the potential to improve experiences with care transitions for older adults with hip fracture, and thus, addressing and acting on them should be a priority.

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)0.011
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.137
Threshold uncertainty score0.423

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.017
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0190.008
Scholarly communication0.0040.002
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.262
Teacher spread0.254 · 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 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

Citations24
Published2022
Admission routes3
Has abstractyes

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