<scp>COVID</scp> ‐19's Impact in Long‐Term Care Facilities: The Health and Coping Strategies of Older Adults and Their Families
Bibliographic record
Abstract
AIM: Describe the stressors that long-term care facility (LTCF) residents and their family members were exposed to during the COVID-19 pandemic, the resources they mobilised to cope with them, and the strategies used by professionals to support them. DESIGN: A descriptive qualitative design study. METHOD: Between March 2021 and February 2022, we carried out semi-structured interviews with 8 LTCF residents, 11 family members, and 6 focus groups made up of healthcare and support staff from 8 LTCFs. RESULTS: Three themes emerged: (1) residents and family members: separated and suffering, (2) residents and family members: reinventing themselves, and (3) staff: attempts to maintain residents' well-being. CONCLUSION: LTCF Residents' and their family members' exposure to the various stressors linked to the COVID-19 pandemic generated suffering. Healthcare and support staff implemented strategies to support them, notably to maintain links between them. Some deep reflection must occur on the concepts of LTCF residents' autonomy and self-determination when implementing protective measures in future pandemic situations. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: This study has provided new insights into the nature of the stressors faced by LTCF residents and their families, and the measures implemented by professionals to support them. The role of the families of LTCF residents needs to be better recognised. Our results indicate the importance of involving nurses in discussions on patient autonomy and self-determination when implementing protective measures (in a pandemic situation). IMPACT: Exploring the nature of the stressors experienced by LTCF residents and their families enables professionals to tailor strategies to support them. Maintaining residents' self-determination is essential when implementing protective measures. Families involved with residents must be recognised and included in the assessment of stressors and the personalisation and implementation of strategies to support LTCF residents. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".