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Record W4386572527 · doi:10.1186/s12904-023-01244-y

“I didn’t know it was going to be like this.”: unprepared for end-of-Life care, the experiences of care aides care in long-term care

2023· article· en· W4386572527 on OpenAlexafffundabout
Laura Booi, Judith Sixsmith, Habib Chaudhury, Deborah O’Connor, Claire Surr, Melanie Young, Andrew Sixsmith

Bibliographic record

VenueBMC Palliative Care · 2023
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of British ColumbiaIsland HealthSimon Fraser University
FundersCanadian Frailty Network
KeywordsWorkforceThematic analysisNursingEnd-of-life careFeelingMedicineLong-term carePalliative careHealth carePsychologyQualitative research

Abstract

fetched live from OpenAlex

BACKGROUND: Care aides provide up to 70-90% of the direct care for residents in long-term care (LTC) and thus hold great potential in improving residents' quality of life and end-of-life (EoL) care experiences. Although the scope and necessity of the care aide role is predicted to increase in the future, there is a lack of understanding around their perceptions and experiences of delivering EoL care in LTC settings. The aim of this study was to gain an understanding of the perspectives, experiences, and working conditions of care aides delivering end-of-life care in LTC in a rural setting, within a high-income country. METHODS: Data were collected over ten months of fieldwork at one long-term care home in western Canada; semi-structured interviews (70 h) with 31 care aides; and observation (170 h). Data were analysed using Reflexive Thematic Analysis. RESULTS: Two themes were identified: (i) the emotional toll that delivering this care takes on the care aids and; (ii) the need for healing and support among this workforce. Findings show that the vast majority of care aides reported feeling unprepared for the delivery of the complex care work required for good EoL care. Findings indicate that there are no adequate resources available for care aides' to support the mental and emotional aspects of their role in the delivery of EoL care in LTC. Participants shared unique stories of their own self-care traditions to support their grief, processing and emotional healing. CONCLUSIONS: To facilitate the health and well-being of this essential workforce internationally, care aides need to have appropriate training and preparation for the complex care work required for good EoL care. It is essential that mechanisms in LTC become mandatory to support care aides' mental health and emotional well-being in this role. Implications for practice highlight the need for greater care and attention played on the part of the educational settings during their selection and acceptance process to train care aides to ensure they have previous experience and societal awareness of what care in LTC settings entails, especially regarding EoL experiences.

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 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)0.001
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 score0.125
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.087
GPT teacher head0.432
Teacher spread0.344 · 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 teacher head, not a consensus.

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

Citations6
Published2023
Admission routes3
Has abstractyes

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