What mobility factors are critical to include in a comprehensive mobility discharge assessment framework for older adults transitioning from hospital-to-home in the community? An international e-Delphi study
Bibliographic record
Abstract
PURPOSE: ramework (COMDAF) for older adults transitioning from hospital-to-home. MATERIALS AND METHODS: We conducted a three-round modified e-Delphi process with 60 international experts (seven older adults, nine family caregivers, 24 clinicians, and 20 researchers) from nine countries with universal or near-universal health coverage. Expert members rated 91 factors identified from scoping reviews using a 9-point scale: not important (1-3), important (4-6), and critical (7-9). RESULT: A total of 41 of 91 factors (45.1%) met the a-priori consensus criterion after three rounds: five cognitive, five environmental, two personal, 19 physical, six psychological, and six social factors. No financial factors reached a consensus. The older adult steering committee member recommended the addition of two environmental factors, resulting in 43 mobility factors included in the COMDAF. CONCLUSIONS: We advanced a comprehensive mobility framework by developing, through consensus, 43 mobility factors to be assessed as part of a COMDAF. However, its use in hospital-to-home may not be feasible. Therefore, future research will determine the core mobility factors for COMDAF and which measurement instruments best measure these factors. RELEVANCE: An interdisciplinary discharge rehabilitation team can utilize the COMDAF during hospital-to-home transition.Implications for rehabilitationMobility assessment following a hospital discharge is a complex process requiring an interdisciplinary discharge rehabilitation team.This study provided a comprehensive list of 91 factors across all seven mobility determinants (cognitive, environmental, financial, personal, physical, psychological, and social) for clinicians in other care settings to use as a starting point to determine which mobility factor should be assessed during older adults' hospital-to-home transition.This international e-Delphi study identified 43 factors within mobility determinants (cognitive, environmental, personal, physical, psychological, and social) to be included in a Comprehensive Mobility Discharge Assessment Framework to assess older adults' mobility during the hospital to home transition.Using these 43 factors, clinicians can identify which assessment tool is best suited to assess the factors while reflecting on the logistics and feasibility; this is the next phase of this project.
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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 | 0.096 | 0.082 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".