Barriers and Enablers to Early Identification, Referral and Access to Geriatric Rehabilitation Post-Hip Fracture: A Theory-Based Descriptive Qualitative Study
Bibliographic record
Abstract
Background: Geriatric hip fracture patients often experience gaps in care including variability in the timing and the choice of an appropriate setting for rehabilitation following hip fracture surgery. Many guidelines recommend standardized processes, including timely access of no later than day 6 to rehabilitation services. A pathway for early identification, referral and access to geriatric rehabilitation post-hip fracture was created to facilitate the implementation. The study aimed to describe the barriers and enablers prior to the implementation of this pathway. Methods: We conducted a qualitative descriptive study consisting of semi-structured interviews with geriatric hip fracture patients (n = 8), caregivers (n = 1), administrators (n = 12) and clinicians (n = 17) in 2 orthopaedics units and a geriatric rehabilitation service. Responses were analysed using a systematic approach, and overarching themes describing the barriers and enablers were identified. Results: The clinicians' and administrators' top barriers to implementation of the pathway were competing demands (n = 24); lack of bed availability, community resources and funding (n = 19); and the need for extended hours and increased staff (n = 16). The top 3 enablers were clear communication with patients (n = 27), awareness of the benefits of geriatric rehabilitation (n = 24) and the need for education and resources to properly use the pathway (n = 15). Common barriers among patients and caregivers included lack of care coordination, overcoming some of their own specific challenges during their transition, gaps in the information they received before discharge, not knowing what questions to ask and lack of resources. Despite these barriers, patients were generally pleased with their transition from the hospital to geriatric rehabilitation. Conclusion: We identified and described key barriers and enablers to early identification, referral and access to geriatric rehabilitation post-hip fracture. These influencing factors provide a basis for the development of a standardized pathway aimed at improving access to rehabilitative care for geriatric hip fracture patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".