Physical Restraint Initiation in Nursing Homes and Subsequent Resident Health
Bibliographic record
Abstract
PURPOSE: It is widely believed that physical restraint use causes mental and physical health decline in nursing home residents. Yet few studies exist showing an association between restraint initiation and health decline. In this research, we examined whether physical restraint initiation is associated with subsequent lower physical or mental health. DESIGN AND METHODS: We used all nursing homes (N = 740) in Pennsylvania in 2001, with 12,820 residents. We used the Minimum Data Set data; Online Survey, Certification and Reporting data; and the Area Resource File as data sources. We restricted our sample to newly admitted nursing home residents who were not restrained in the first two quarters of their residency. We examined which facility and individual characteristics during those first two quarters were associated with restraint initiation during the third quarter. We then examined the association of third-quarter restraint initiation with fourth-quarter health outcomes, using regressions that controlled for first- and second-quarter health status as well as other resident, facility, and market characteristics. The physical health outcomes examined consisted of falls, walking dependence, activities of daily living (ADLs), pressure ulcers, and contractures. Mental health outcomes examined consisted of cognitive performance, depression, and behavior problems. RESULTS: The initiation of restraint use was associated with a previous fall (p <.01), psychoactive medication use (p <.05), low cognition (p <.01), ADL scores (p <.01), and the absence of pressure ulcers (p <.10), as well as a variety of facility characteristics. Subsequent to restraint initiation, we found an association with lower cognitive performance (p <.01), lower ADL performance (p <.01), and higher walking dependence (p <.01). IMPLICATIONS: We found that an association between restraint initiation and subsequent adverse health consequences exists and is substantial. Moreover, these results would appear to have practical as well as statistical significance.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".