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Record W4390200764 · doi:10.1002/alz.074841

Relational, Community Dementia Care for All: Observations and Lessons from On‐Reservation Providers, Administrators, and Formal Caregivers in the US and Canada

2023· article· en· W4390200764 on OpenAlexaboutno aff
Dana Ketcher, Kristen Jacklin, Wayne Warry, Jordan Lewis, Melissa Blind, Melinda Dertinger, Brandylyn Arredondo, Collette Pederson, January Johnson, Rhonda Trudeau, Karen Pitawanakwat, Lois Strong, Marlene Summers, Wesley Martin, Nickolas H. Lambrou, Megan Zuelsdorff, Carey E. Gleason

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousDementiaFocus groupParticipatory action researchQualitative researchPsychologyCommunity-based participatory researchNursingHealth careGerontologySociologyMedicinePolitical scienceSocial science

Abstract

fetched live from OpenAlex

Abstract Background Research with Indigenous populations in North America has consistently demonstrated divergent views on caregiving for people living with dementia (PLWD) compared to Western biomedical approaches. Few studies to date have applied strengths‐based approaches and, as a result, an Indigenous caregiving framework appropriate for on‐reserve/reservation populations has yet to be created. In this paper we share research findings that can be used to initiate strategies for culturally appropriate, sustainable, and supported care strategies for Indigenous PLWD. Method We used a community‐based participatory approach to conduct ethnographic research in a culturally safe way among four Indigenous communities in the US and Canada. Community‐based researchers conducted key informant interviews with dementia administrators and providers (n = 35), and sequential focus groups with local health care staff/formal caregivers that work with Indigenous older adults (14 sessions, n = 17). Data were coded in QSR NVivo and analyzed using a phenomenological framework. Result Participants described numerous assets available to Indigenous communities that can help PLWD age in place, based in a wholistic orientation. Main qualitative themes emerging from the analysis include: the need for wholistic models of care; the value and importance of family caregiving; the role of social/community support; the value of caring for the PLWD in the home for as long as possible; and the need for community services to support caregivers. Indigenous values, past experiences with health systems/colonization, and lived experiences of dementia were important underlying factors informing an Indigenous caregiving framework appropriate for on‐reserve/reservation populations. Conclusion Western models of caregiving for PLWD, especially the eventual placement of PLWD in care facilities, do not fit with Indigenous value systems and teachings. Relational, family, and community‐based care is a culturally appropriate form of care for most elders in Indigenous communities. This model will be most effective when culturally appropriate community support services such as personal support and home care nursing services, as well as adequate respite, are included. Further research with family caregivers and PLWD will be necessary to further our understanding of this Indigenous care model and together with this study will form the basis for a community‐based caregiving intervention.

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)0.009
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 score0.057
Threshold uncertainty score0.415

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0280.008
Scholarly communication0.0050.002
Open science0.0030.007
Research integrity0.0010.004
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 head0.089
GPT teacher head0.326
Teacher spread0.237 · 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
Published2023
Admission routes1
Has abstractyes

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