The roles of predisposing characteristics, established need, and enabling resources on upper extremity prosthesis use and abandonment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Prosthesis use and abandonment is a complex function of variables defining the contextualized individual. This review presents a comprehensive panoramic of these factors as related to the management of upper limb deficiency. Me METHOD: nderson's model for health service utilization was used to frame prosthesis use and abandonment as a function of (1) predisposing characteristics of the individual (e.g. gender or level of limb loss); (2) established need, as characterized by lifestyle- and age-related demands; and (3) enabling resources (e.g. clinical and social). English-language articles pertaining to these components were identified in a search of Ovid, PubMed, ISI Web of Science and www.scholar.google.com (1980-November 2006) for key words upper limb and prosthesis. Approximately 90 articles were included as evidence in this review. Re RESULTS: ersonal and contextual factors are critical determinants of prosthesis acceptance. While the influence of some factors (i.e. lifestyle, level of limb loss), is strongly supported in the literature, the impact of others, (i.e. age of fitting, efficacy of training protocols), remain controversial. Co CONCLUSIONS: nhanced understanding of these factors is required to optimize clinical practices, guide design efforts, and satiate demand for evidence-based measures of intervention. Future research should comprise of controlled, multifactor studies adopting standardized outcome measures and providing comprehensive descriptions of population characteristics.
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| 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 it