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Record W4403247618 · doi:10.1111/jan.16530

<scp>COVID</scp> ‐19's Impact in Long‐Term Care Facilities: The Health and Coping Strategies of Older Adults and Their Families

2024· article· en· W4403247618 on OpenAlexaff
Christine Cohen, Maryline Abt, Louise Bélanger, Claudia Ortoleva Bucher

Bibliographic record

VenueJournal of Advanced Nursing · 2024
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsAutonomyStressorLong-term carePandemicCoping (psychology)NursingPsychologyCoronavirus disease 2019 (COVID-19)Focus groupHealth careGerontologyMedicineSociologyPsychiatryPolitical scienceDisease

Abstract

fetched live from OpenAlex

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.020
GPT teacher head0.395
Teacher spread0.376 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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