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Record W4406224615 · doi:10.1002/alz.092934

Navigating Dementia Care in Northern Ontario: Exploring Health Professional Experience, Barriers and Facilitators

2024· article· en· W4406224615 on OpenAlexaffabout
Lucy Shrestha, Hom Lal Shrestha

Bibliographic record

VenueAlzheimer s & Dementia · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsLaurentian University
Fundersnot available
KeywordsDementiaNursingHealth careHealth professionalsMedicinePsychologyGerontologyPolitical scienceDisease

Abstract

fetched live from OpenAlex

Abstract Background Dementia is the seventh leading cause of death worldwide, impacting cognitive abilities and memory loss among aging populations. With the increasing prevalence of dementia, it is crucial to understand the distinct barriers and possibilities in providing care. Although there have been significant studies on dementia care, there is a lack of research that primarily focuses on the perspectives and worldviews of healthcare professionals, especially in the northern and rural regions of Ontario. Objectives The objective of this study is to identify the essential components required to support healthcare professionals in caring for people living with dementia (PLWD) in Northern Ontario. Methods Through an appreciative inquiry framework, data collection includes semi‐structured interviews with healthcare professionals caring for PLWD. A literature review was conducted to understand what has been published on the perspectives of health professionals in dementia care. A comprehensive search in Google Scholar, PubMed, and the National Library of Medicine was conducted through peer‐reviewed research articles published between 2014 and 2023 that focused on quantitative, qualitative, and mixed methods. Result The peer‐reviewed articles serve as a basis for comprehending dementia care focusing on the experiences and perceptions of healthcare professionals on dementia care within a Canadian context. These articles address several aspects, such as the challenges, barriers, facilitators, and recommendations for enhancing the quality of care provided to PLWD. Furthermore, they discussed the possibility of enhancing the accessibility of healthcare facilities, researching to gain a deeper understanding of providing higher‐quality care and emphasizing the importance of ongoing support and training for healthcare workers specializing in dementia care. Discussion The worldview of health professionals in dementia care aims to reform and enhance health professionals for PLWD to improve care, support, and inform future practice in this area. The findings are broadly shared and contribute to informing future policymaking by including specialized educational materials, training programs designed to raise awareness and practice, encourage advocacy, improve comfort levels, and ultimately enhance patient care for those with dementia. Furthermore, it could explore the possibility of implementing community‐driven initiatives and assistance programs for PLWD and their families residing in rural regions.

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)0.005
metaresearch head score (Gemma)0.015
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 score0.064
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0090.003
Scholarly communication0.0050.002
Open science0.0020.004
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 head0.044
GPT teacher head0.349
Teacher spread0.305 · 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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