Resident and family perceptions of the nurse practitioner role in long term care settings: a qualitative descriptive study
Bibliographic record
Abstract
BACKGROUND: Research evidence supports the positive impact on resident outcomes of nurse practitioners (NPs) working in long term care (LTC) homes. There are few studies that report the perceptions of residents and family members about the role of the NP in these settings. The purpose of this study was to explore the perceptions of residents and family members regarding the role of the NP in LTC homes. METHODS: The study applied a qualitative descriptive approach. In-depth individual and focus group interviews were conducted with 35 residents and family members from four LTC settings that employed a NP. Conventional content analysis was used to identify themes and sub-themes. RESULTS: Two major themes were identified: NPs were seen as providing resident and family-centred care and as providing enhanced quality of care. NPs established caring relationships with residents and families, providing both informational and emotional support, as well as facilitating their participation in decision making. Residents and families perceived the NP as improving availability and timeliness of care and helping to prevent unnecessary hospitalization. CONCLUSIONS: The perceptions of residents and family members of the NP role in LTC are consistent with the concepts of person-centred and relationship-centred care. The relationships NPs develop with residents and families are a central means through which enhanced quality of care occurs. Given the limited use of NPs in LTC settings, there is an opportunity for health care policy and decision makers to address service inadequacies through strategic deployment of NPs in LTC settings. NPs can use their expert knowledge and skill to assist residents and families to make informed choices regarding their health care and maintain a positive care experience.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".