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Record W4390847244 · doi:10.2196/42211

Impact of the COVID-19 Pandemic on Latino Families With Alzheimer Disease and Related Dementias: Qualitative Interviews With Family Caregivers and Primary Care Providers

2024· article· en· W4390847244 on OpenAlex
Jaime Perales‐Puchalt, Jill Peltzer, Mónica Fracachán-Cabrera, Adriana Pérez, Mariana Ramírez, K. Allen Greiner, Jeffrey M. Burns

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJMIRx Med · 2024
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersNational Institute on Minority Health and Health DisparitiesNational Institute on AgingNational Institutes of Health
KeywordsSnowball samplingThematic analysisQualitative researchPandemicGerontologyFamily caregiversSocial isolationDementiaMedicineSocial distanceHealth equityHealth carePopulationPsychologyPublic healthDiseaseNursingPsychiatryCoronavirus disease 2019 (COVID-19)Environmental healthSociologyInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Background: Latino individuals experience disparities in the care of Alzheimer disease and related dementias (ADRD) and have disproportionately high COVID-19 infection and death outcomes. Objective: We aimed to gain an in-depth understanding of the impact of the COVID-19 pandemic among Latino families with ADRD in the United States. Methods: This was a qualitative study of 21 informal caregivers of Latino individuals with ADRD and 23 primary care providers who serve Latino patients. We recruited participants nationwide using convenience and snowball sampling methods and conducted remote interviews in English and Spanish. We organized the transcripts for qualitative review to identify codes and themes, using a pragmatic approach, a qualitative description methodology, and thematic analysis methods. Results: Qualitative analysis of transcripts revealed eight themes, including (1) the pandemic influenced mental and emotional health; (2) the pandemic impacted physical domains of health; (3) caregivers and care recipients lost access to engaging activities during the confinement; (4) the pandemic impacted Latino caregivers' working situation; (5) the pandemic impacted health care and community care systems; (6) health care and community care systems took measures to reduce the impact of the pandemic; (7) Latino families experienced barriers to remote communication during the pandemic; and (8) caregiver social support was critical for reducing social isolation and its sequalae. Conclusions: Latino families with ADRD experienced similar but also unique impacts compared to those reported in the general population. Unique impacts may result from Latino individuals' underserved status in the United States, commonly held cultural values, and their intersectionality with ADRD-related disability. Family caregiver social support was crucial during this time of adversity. These findings suggest the need for more equitable access, culturally appropriate and trustworthy content and delivery of health care and community services, as well as stronger financial and social supports for family caregivers.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.416

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.384
Teacher spread0.337 · 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