Barriers and Enablers to the Use of Web-Based Applications for Older Adults and Their Caregivers Post-Hip Fracture Surgery: A Descriptive Qualitative Study
Bibliographic record
Abstract
Purpose: The purpose of this study was to describe the barriers and enablers to the use of web-based applications designed to help manage the personalized needs of older adults and their caregivers post-hip fracture surgery while transitioning from hospital to geriatric rehabilitation to home. Methods: This was a descriptive qualitative study consisting of semi-structured interviews informed by the Theoretical Domains Framework. The study took place between March 2021 and April 2022 on an orthopaedic unit in a large academic health sciences centre and in a geriatric rehabilitation service in Ontario, Canada. The transcripts were analyzed using a systematic 6-step approach. Results: Interviews were conducted with older adults (n = 10) and with caregivers (n = 8) post-hip fracture surgery. A total of 21 barriers and 24 enablers were identified. The top two barriers were a need for basic computer skills (n = 11, 61.1%) and a preference for direct verbal communication (n = 10, 55.6%). The top two enablers were having no concerns with using web-based applications (n = 12, 66.7%) and having ease of access to information (n = 10, 55.6%). Conclusion: We described the key barriers and enablers to the use of web-based applications from the perspectives of older adults and their caregivers. These factors will inform further developments of web-based applications aimed at improving the care transition from hospital to geriatric rehabilitation to home post-hip fracture surgery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".