Acceptability of a nurse-led, person-centred, anticipatory care planning intervention for older people at risk of functional decline: A qualitative study
Bibliographic record
Abstract
BACKGROUND: As the population of older adults increases, the complexity of care required to support those who choose to remain in the community amplifies. Anticipatory Care Planning (ACP), through earlier identification of healthcare needs, is evidenced to improve quality of life, decrease aggressive interventions, and prolong life. With patient acceptability of growing importance in the design, implementation, and evaluation of healthcare interventions, this study reports on the acceptability of a primary care based ACP intervention on the island of Ireland. METHODS: As part of the evaluation of a feasibility cluster randomized controlled trial (cRCT) testing an ACP intervention for older people at risk of functional decline, intervention participants [n = 34] were interviewed in their homes at 10-week follow-up to determine acceptability. The intervention consisted of home visits by specifically trained registered nurses who assessed participants' health, discussed their health goals and plans, and devised an anticipatory care plan in collaboration with participants' GPs and adjunct clinical pharmacist. Thematic analysis was employed to analyze interview data. The feasibility cRCT involved eight general practitioner (GP) practices as cluster sites, stratified by jurisdiction, four in Northern Ireland (NI) (two intervention, two control), and four in the Republic of Ireland (ROI) (two intervention, two control). Participants were assessed for risk of functional decline. A total of 34 patients received the intervention and 31 received usual care. FINDINGS: Thematic analysis resulted in five main themes: timing of intervention, understanding of ACP, personality & individual differences, loneliness & social isolation, and views on healthcare provision. These map across the Four Factor Model of Acceptability ('4FMA'), a newly developed conceptual framework comprising four components: intervention factors, personal factors, social support factors, and healthcare provision factors. CONCLUSION: Acceptability of this primary care based ACP intervention was high, with nurses' home visits, GP anchorage, multidisciplinary working, personalized approach, and active listening regarded as beneficial. Appropriate timing, and patient health education emerged as vital.
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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 | 0.036 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 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".