Pain Management of Elderly in Nursing Homes
Bibliographic record
Abstract
OBJECTIVES: The aim of this study was to determine pain management status of the elderly in nursing homes. METHODS: The descriptive study sample included 82 elderly who presented to two nursing homes in İzmir between February-July 2012. In this study, Elderly Identification Form, Mini-Mental Scale, McGill Pain Scale (MAS) and Pain Management Inventory were used as the data collection tool. RESULTS: It was determined that the highest rates of complaints the elderly individuals had were knee pain (64.6%) and headache (58.5%) in this study. Of the elderly people participating in the study, 96.3% took pain relievers for pain management and according to their statements, of the pain management methods they used, resting and directing attention to something else (X=5.76±0.87) and taking prescribed pain relievers (X=5.69±0.87) were very beneficial. CONCLUSION: In elderly individuals, it is important to use pharmacological and non-pharmacological methods for pain management. Therefore, it is recommended to determine the most frequently used methods for pain management by the elderly and to integrate them into the care plan.
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How this classification was reachedexpand
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".