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Record W7132948330

Personal Support Workers’ Role in End-of-Life Care in Long-Term Care

2024· dissertation· W7132948330 on OpenAlexfundaboutno aff
Danielle Just

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsWorkforceAutonomyHealth careDescriptive statisticsDescriptive researchDocumentationWorkforce developmentPopulation
DOInot available

Abstract

fetched live from OpenAlex

Personal support workers (PSWs) are essential healthcare workers who provide the majority of direct care for Canada’s most vulnerable populations and thus are a critical part of the health workforce in Canada. As the Canadian population continues to age, there is a growing demand for this workforce to provide direct care for Canadians, including care in the long-term care (LTC) setting at the end of life. Despite this, PSWs' role within the Canadian context, and internationally, remains unclear. The role of PSWs has evolved concurrently with greater demands for complex institutional care. Consequently, the role of PSWs is increasingly unclear, with varying levels of responsibilities and autonomy reported based on the clinical setting and geographic location. Therefore, the purpose of this study was to understand PSWs’ role in end-of-life care in an LTC home in Ontario, Canada. This study aimed to answer the research question: what are PSWs’, nursing staff’s, managers’, administrators’, family members’, and residents’ perspectives on the role of PSWs in end-of-life care in an Ontario LTC home? A qualitative descriptive single case study was conducted virtually to describe and understand the experiences and perspectives of participants relating to the role of PSWs in end-of-life care. A conceptual framework, named the role behaviour framework, was used as the descriptive framework to guide the design, data collection, and data analysis. Multiple forms of data were collected using virtual methods, including study site characteristics, documentation data, archival records, demographic data, semi-structured individual interviews, and observation of physical artifacts. A descriptive framework data analysis strategy using the role behaviour framework was applied to guide and construct knowledge on the role of PSWs in end-of-life care in LTC. The findings highlight that LTC residents, family members and staff acknowledge that PSWs perform tasks outside their job description when providing end-of-life care; specifically for tasks that support the “experience of comfort” and “being at peace.” These extra-role behaviours performed by PSWs were perceived to improve the quality of end-of-life care that residents receive and were found to most likely be conducted because of the familial relationship between residents and PSWs. This study's findings revealed that as the role of PSWs continues to expand and evolve, there is less time and capacity for PSWs to perform social or relational care tasks; therefore, PSWs start to perform more tasks outside their role boundary.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.956

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.009
Scholarly communication0.0040.002
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.421
Teacher spread0.390 · 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 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

Citations0
Published2024
Admission routes2
Has abstractyes

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