The effects of family follow-up nursing on elderly cognitive impairment patients' Barthel index scores and mental statuses.
Bibliographic record
Abstract
OBJECTIVE: To explore the effects of family follow-up nursing on the Barthel Index scores and emotional statuses of elderly cognitive impairment patients. METHODS: A total of 90 dementia patients with cognitive impairments were randomized into group A, which underwent routine family nursing, or group B, which underwent family follow-up nursing for 6 months. The patients' cognitive function was assessed using the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). Their disability levels were determined using the Barthel Index and the WHO rating scale (the WHODAS II scale), and the caregiver's burden levels were evaluated using the Zarit Caregiver Burden Interview (ZBI). The negative emotions were assessed using the Negative Mood Regulation Expectancies Scale (the NMRE-C). The two groups' quality of life and living abilities were assessed using the World Health Organization Quality of Life-BREF Scale (the WHOQOL BREF scale) and the Activities of Daily Living Scale (the ADL scale). RESULTS: After the intervention, the MMSE and MoCA scores increased in group B compared with the scores in group A (P<0.01). The Barthel Index scores increased, but the WHODAS II scores decreased in group B compared with the scores in group A (all P<0.001). The ZBI score was (34.30±4.19) in group A and (31.64±3.69) in group B (t=3.196, P=0.002). The NMRE-C score was (122.38±10.20) in group A and (144.39±11.30) in group B (t=9.699, P<0.001), and the quality of life and living abilities of the patients in group B improved significantly compared with the quality of life and living abilities of the patients in group A (all P<0.01). CONCLUSION: Family follow-up nursing can alleviate cognitive impairment in elderly dementia patients reduce their negative emotions, increase their independent living abilities, and decrease the caregiver's burden. It should be widely applied in clinical settings.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.002 | 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".