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Record W4390956931 · doi:10.5334/ijic.icic23262

How Canadian caregivers of persons living with dementia are managing in a fragmented system

2023· article· en· W4390956931 on OpenAlexaffabout
Alexandra Whate, Saskia Sivananathan, Haridos Apostolides, Jacobi Elliott, Paul Stolee

Bibliographic record

VenueInternational Journal of Integrated Care · 2023
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of WaterlooSt Joseph's Health CareAlzheimer Society of Canada
Fundersnot available
KeywordsDementiaAction planPhoneNursingHealth carePsychologyMedicineGerontologyDiseasePolitical science

Abstract

fetched live from OpenAlex

People living with dementia (PLWD) often need many different health and social services throughout their journey, and navigating and accessing these services can be challenging due to a lack of integration in dementia care. PLWD often rely on caregivers, usually family members, to help them navigate the system and access the care and services they need. The importance of better co-ordination and integration of health, community, and residential dementia services has been highlighted in the World Health Organization’s (WHO) global action plan on the public health response to dementia and Canada’s National Dementia Strategy, however a widespread, robust plan for integrated care for PLWD has yet to be implemented. This leaves caregivers with the task of seeking out and accessing services on their own. The Alzheimer Societies across Canada aim to help caregivers navigate and access services by providing information, education, and support in system navigation to caregivers. In this study, we explored the experiences of caregivers accessing health and social services for their loved ones with dementia, and the role that the Alzheimer Society played in this journey. This work has been informed and guided by members the Alzheimer Society of Canada’s People with Lived Experience Advisory Group. We conducted semi-structured interviews with 34 caregiver clients of the Alzheimer Society across Canada in the Fall of 2022. Interviews were completed by phone or video conference and lasted between 20 and 73 minutes (mean=32 minutes). Participants were all caregivers of a PLWD and ranged in age from 42-89 (mean age= 63 years). There were 10 men, 23 women, and one non-binary person in our sample (caregiver spouse=18, caregiver child=15, caregiver sibling=1). Interviews were recorded and transcribed verbatim. Deductive coding, based on the interview questions, was used to identify themes. Experiences accessing health and social services varied widely among participants based on geographic location, disease progression or symptoms, existing social support and self-advocacy skills, and finances. Many caregivers had trouble accessing the services that they needed and found the system to be difficult to navigate. In many cases, the Alzheimer Society played an important role in making caregivers aware of the health and community services available and provided guidance on how to access those services in a timely way. Some participants, however, found that despite being provided with information and education, they continued to struggle due to a lack of access to quality care in the community (e.g. adult day programs, respite, and long-term care). Some participants experienced such extreme distress at being unable to access the care they needed for the PLWD, that they experienced physical and mental health issues themselves. The Alzheimer Society and similar organizations help to make up for the lack of an integrated care system for PLWD, however, there remain large gaps in the ability of caregivers to access timely, adequate care. Fragmented, disjointed, and difficult to access care can have negative consequences for PLWD and their caregivers, and action is needed to further support the development of integrated dementia care services across Canada.

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)0.011
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 score0.084
Threshold uncertainty score0.610

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.004
Science and technology studies0.0400.009
Scholarly communication0.0100.005
Open science0.0030.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.010
GPT teacher head0.265
Teacher spread0.255 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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