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Record W3204046952 · doi:10.1037/pag0000642

Does early-stage intervention improve caregiver well-being or their ability to provide care to persons with mild dementia or mild cognitive impairment? A systematic review and meta-analysis.

2021· review· en· W3204046952 on OpenAlexafffund
Melanie Bayly, Debra Morgan, Valerie Elliot, Julie Kosteniuk, Amanda Froehlich Chow, Shelley Peacock, Megan E. O’Connell

Bibliographic record

VenuePsychology and Aging · 2021
Typereview
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsCanadian Science Centre for Human and Animal Health
FundersCanadian Institutes of Health ResearchAlzheimer SocietySaskatchewan Health Research FoundationCentre for Aging + Brain Health InnovationConsortium canadien en neurodégénérescence associée au vieillissement
KeywordsDementiaPsychologyIntervention (counseling)Meta-analysisCognitionCognitive impairmentClinical psychologyGerontologyDevelopmental psychologyPsychiatryMedicineDisease

Abstract

fetched live from OpenAlex

Interventions for caregivers of persons with dementia are well supported, but it remains unclear whether caregivers benefit from early-stage intervention when caring for persons with mild dementia or mild cognitive impairment (MCI). This systematic review and meta-analysis examined whether early-stage interventions for this population positively affect their well-being and ability to provide care and whether effectiveness varies based on intervention or caregiver/recipient characteristics. Searches of four databases (MEDLINE, EMBASE, PSYCINFO, and CINAHL) yielded 20,722 titles and 1,305 full texts were independently screened. Twenty-two reports representing 18 randomized controlled trial (RCT)/controlled early-stage intervention studies were included for meta-analysis, measuring a variety of outcomes for which effect sizes were calculated using standardized mean differences. Findings suggest that early-stage intervention has a small positive effect on both caregiver well-being and ability to provide care, with the largest effects observed for caregiver anxiety and caring-related distress. Moderator analyses showed no statistically significant difference in effectiveness based on type of intervention (counseling/psychotherapy, psychoeducational, or multicomponent) or individual versus group-based interventions. However, interventions that were caregiver only (vs. dyadic) had larger positive effects on caregiver well-being and ability to provide care. None of the caregiver/recipient characteristics examined (sex, type of relationship, and type of dementia) were related to the effectiveness of early-stage interventions. Although published controlled/RCT trials were limited, findings support efforts to offer early-stage interventions to caregivers of persons with mild dementia or MCI. Further research to determine what intervention types or components are most efficacious would aid the provision of optimal support for caregivers early in their caregiving trajectory. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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)0.015
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.035
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0170.031
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.062
GPT teacher head0.414
Teacher spread0.353 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations29
Published2021
Admission routes2
Has abstractyes

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