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Record W4406224600 · doi:10.1002/alz.089634

Life Review Depression Intervention Conducted by Asian and White American Caregivers: A Mixed‐Method Comparative Study

2024· article· en· W4406224600 on OpenAlexaboutno aff
Christina E. Miyawaki, Erin D. Bouldin, Angela McClellan

Bibliographic record

VenueAlzheimer s & Dementia · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)GerontologyWhite (mutation)PsychologyIntervention (counseling)Clinical psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Approximately 10% of people living with Alzheimer’s dementia (PWD) experience depression, yet behavioral interventions remain scarce. We developed an innovative depression intervention, Caregiver‐Provided Life Review (C‐PLR) based on life review therapy. The purposes of this study were to evaluate the feasibility of training family caregivers in life review skills and evaluate the impact on depressive symptoms. Methods Using a mixed‐method design, we trained Asian (n = 15) and White (n = 24) caregiver‐care recipient dyads. Eligible caregivers were family members who cared for PWD for ≥8 hours/week, completed caregiver training, six weekly life review sessions, and five weekly Fidelity check‐in calls with the research team. Care recipients experienced mild depression (≥5 on Geriatric Depression Scale) and dementia (≥13 on Telephone‐Montreal Cognitive Assessment). We collected pre‐ and post‐measures of care recipients’ depression (primary outcome), life satisfaction, caregivers’ burden, rewards of caregiving, and dyads’ relationship quality (secondary outcomes), and compared them using paired t‐tests. We evaluated feasibility by measuring fidelity check‐in scores to the C‐PLR training protocol during these calls. Results Thirty‐nine dyads completed the study. Asian (mean age = 52 years old) and White (59 years old) caregivers were working, female, and in good‐excellent health. Their care recipients (Asian = 82 years old; White = 80) were female and in poor‐fair health. Both Asian and White care recipients’ depression and dyads’ relationship scores from baseline to the end of the study significantly improved (Asian = 4.1 to 2.1, p<0.001; 12.5 to 13.4, p = 0.029; White = 4.1 to 3.1, p = 0.049; 13.8 to 14.5, p = 0.044, respectively). Asian (73%) and White (75%) caregivers’ fidelity scores were similarly high (p = 0.91) and rated as good‐excellent. Qualitative interviews of both caregivers supported the sentiments of the quantitative results. Furthermore, 73% of Asian dyads conducted the C‐PLR in their native language, however, it did not appear to influence any outcomes. Conclusions We found a significant impact of C‐PLR on depressive symptoms in both Asian and White PWD and their dyadic relationships. Both quantitative and qualitative results supported the feasibility of the C‐PLR training and the successful completion of the intervention. This study demonstrated that the C‐PLR intervention can be added to a list of successful non‐pharmaceutical interventions.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.034
GPT teacher head0.367
Teacher spread0.333 · 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 routes1
Has abstractyes

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