Clinical information behavior of rehabilitation therapists: a review of the research on occupational therapists, physical therapists, and speech-language pathologists
Bibliographic record
Abstract
OBJECTIVES: The review sought to synthesize existing research relevant to rehabilitation therapists' clinical information behavior and to identify gaps in evidence, particularly in comparison to what is already known about the information behavior of other health professionals, such as physicians. METHODS: A literature review was conducted of both quantitative and qualitative research studies that included information on the clinical information behavior of occupational therapists, physical therapists, and speech-language pathologists. Findings were organized according to a taxonomy of variables derived from the literature. RESULTS: Findings from seventeen studies, mostly surveys, conducted since 1990 demonstrate that very little is known about the clinical information needs of and information use by rehabilitation therapists. The sources most often consulted by rehabilitation therapists are printed materials (books and journals) and colleagues. Databases are consulted less often, and few rehabilitation therapists are aware of databases other than MEDLINE. DISCUSSION: Methodological flaws limit the generalizability and validity of much of the research conducted on the clinical information behavior of this population. More research is needed to better understand the clinical questions that arise in rehabilitation therapists' practice, reasons for consulting certain sources, and ways in which information seeking enhances evidence-based practice.
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 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 | 0.011 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.010 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".