Perspectives of Self-Care Experiences of Aging Individuals Living Independently: A Focused Ethnography in the Community Setting
Bibliographic record
Abstract
Globally, aging individuals who live independently facing various problems in maintaining their health and well-being. Understanding the capability of personal well-being is an important consideration in promoting healthy behaviors and lifestyles in aging individuals. This paper aimed to more deeply explore, from self-care experiences of aging individuals living independently in the community, from their perspective. The study used the inductive approach of focused ethnography which is based on Orem’s Theory of Self-Care. Data collection consisted of participant observation with field notes and semi-structured interviews with 25 aging individuals living independently in the northern part of Thailand. Three themes were followed as protocol of the data collection plan and used the identification and classification of transcription, coding, and thematic analysis as perspectives of self-care experiences of aging individuals living independently in the community setting: 1) continuing habits of healthcare practices, 2) maintaining positive emotional adaptation, 3) and having reasonable social and life adjustments. These themes exemplified the practice of activities that aging individuals initiated and performed as their daily and routine activities with the intention of maintaining life health and well-being. Consideration of aging individuals living independently self-care experiences assisted nurses and provided greater perspectives in providing actual needs and reduced resources of nursing care and healthcare system.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".