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Record W4285493004 · doi:10.1186/s12904-022-01014-2

Interdisciplinary staff perceptions of advance care planning in long-term care homes: a qualitative study

2022· article· en· W4285493004 on OpenAlexafffundabout
Shirin Vellani, Elizabeth Green, Pereya Kulasegaram, Tamara Sussman, Abby Wickson-Griffiths, Sharon Kaasalainen

Bibliographic record

VenueBMC Palliative Care · 2022
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of ReginaMcGill UniversityMcMaster University
FundersCanadian Frailty Network
KeywordsAdvance care planningFocus groupPalliative careExploratory researchQualitative researchMedicineLong-term careNursingPsychologyGerontology

Abstract

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BACKGROUND: Residents living in long-term care homes (LTCH) have complex care needs, multiple chronic conditions, increasing frailty and cognitive impairment. A palliative approach that incorporates advance care planning (ACP) should be integrated with chronic disease management, yet it is not a norm in most LTCHs. Despite its growing need, there remains a lack of staff engagement in the ACP process. OBJECTIVES: The aim of this study was to explore the perceptions and experiences of interdisciplinary staff related to the practice of ACP in LTCHs. METHODS: This study is part of a larger Canadian project, iCAN ACP, that aims to increase uptake, and access to ACP for older Canadians living with frailty. An exploratory qualitative design using an interpretive descriptive approach was employed utilizing focus groups and semi-structured interviews with staff from four LTCHs in Ontario, Canada. FINDINGS: There were 98 participants, including nurses (n = 36), physicians (n = 4), personal support workers (n = 34), support staff (n = 23), and a public guardian (n = 1). Three common themes and nine subthemes were derived: a) ongoing nature of ACP; b) complexities around ACP conversations; and c) aspirations for ACP becoming a standard of care in LTCHs. DISCUSSION: The findings of this study provide important contributions to our understanding of the complexities surrounding ACP implementation as a standard of practice in LTCHs. One of the critical findings relates to a lack of ACP conversations prior to admission in the LTCHs, by which time many residents may have already lost cognitive abilities to engage in these discussions. The hierarchical nature of LTCH staffing also serves as a barrier to the interdisciplinary collaboration required for a successful implementation of ACP initiatives. Participants within our study expressed support for ACP communication and the need for open lines of formal and informal interdisciplinary communication. There is a need for revitalizing care in LTCHs through interdisciplinary care practices, clarification of role descriptions, optimized staffing, capacity building of each category of staff and commitment from the LTCH leadership for such care. CONCLUSION: The findings build on a growing body of research illustrating the need to improve staff engagement in ACP communication in LTCHs.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: yes
Qualitativehigh
grokno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: yes
Qualitativehigh
opusno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativemedium
models agreeAgreement compares identical category sets and study designs across arms.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.117
GPT teacher head0.498
Teacher spread0.382 · 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

Labeled directly by 3 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations12
Published2022
Admission routes3
Has abstractyes

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