How Assistive Technology Use by Individuals with Disabilities Impacts Their Caregivers
Bibliographic record
Abstract
Informal caregivers are a critical yet frequently unacknowledged part of the healthcare system. It is commonly presumed that providing assistive technology will decrease the burden of their care provision; however, no review has evaluated the evidence behind this assumption. Therefore, a systematic review was undertaken to evaluate evidence of the impact of assistive technology use by care recipients on their informal caregivers. Data sources included EMBASE, MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Web of Science, PsychINFO, PubMed, and active researchers in this area. Twenty-two studies met the specified inclusion criteria. Collectively, the findings suggest that assistive technology use helps caregivers by diminishing some of the physical and emotional effort entailed in supporting individuals with disability. However, confidence in this causal connection is limited because of the study designs that were used. This undermines the understanding of the impacts of assistive technology use on the users' informal caregivers.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".