Self-perceived needs and nursing involvement with the elderley living at home
Bibliographic record
Abstract
This study surveyed the self perceptions of thirty individuals over sixty-five years of age, who lived in the Vancouver Quadra electoral district, in order to gather information about their needs. The study was designed to answer three questions. Do the elderly living at home in a specific geographical area of Vancouver perceive themselves as having needs in the need areas defined by the literature, namely housing, health, independent living, employment, economic security and interpersonal relations? Do the elderly in the selected sample perceive their needs as being met? Do the elderly in the selected sample perceive nurses as involved in helping them meet their needs? A semi-structured interview schedule was used to obtain information relevant to the research problem. The results of this study indicated that more than half the respondents, or 53 per cent, perceived needs in the need areas defined by the literature. The majority of perceived needs, or 76 per cent, were not met. None of the elderly whose needs were met perceived nurses as involved in helping them meet these needs. Moreover, the majority of the study sample, or 87 per cent, did not perceive nurses as potentially helpful in assisting them to meet their needs. The study recommends that nurses extend their current role and become actively involved in assessing and meeting the needs of the elderly living at home.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".