Evidence map›Paper›PMID 38569103›Full record

ArticleJournal of gerontological nursing2024

Dementia-Related Disparities in Adult Day Centers: Results of a Bivariate Analysis.

Jonelle Bofao, Marissa Bergh, Amy Zheng, Tina Sadarangani

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Journal of gerontological nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 93% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jonelle Bofao
Marissa Bergh
Amy Zheng
Tina Sadarangani

Funding

Leveraging mobile health technology to reduce avoidable healthcare utilization in persons with Alzheimer's Disease and Related Dementias in adult day centersK23AG071948 · NIA · NEW YORK UNIVERSITY · PI SADARANGANI, TINA · 2021 to 2025
$1.1M
Bridging Communication Gaps between Primary Care Providers and Adult Day Service Centers to Reduce Emergency Department Use and Hospitalizations among Persons with DementiaR21AG069801 · NIA · NEW YORK UNIVERSITY · PI SADARANGANI, TINA · 2020 to 2021
$793k
NIA NIH HHS K23 AG071948NIA NIH HHS R21 AG069801
6 · The paper itself

Abstract

purposeAdult day services (ADS) are a valuable resource for people living with Alzheimer's disease and Alzheimer's disease and related dementias (AD/ADRD) and serve a large population of late-life immigrants, often with limited English proficiency (LEP). This secondary data analysis examined potential disparities in diagnosis, dementia severity, medical complexity, and dementia-related behavioral problems in persons with AD/ADRD with LEP within the ADS setting.

methodThe current study used data from TurboTAR, the electronic health record for ADS in California. Bivariate analyses were conducted to examine differences in clinical management for those with and without LEP.

resultsOf 3,053 participants included in the study, 42.3% had LEP. Participants with LEP had higher rates of emergency department use and medication mismanagement. However, due to non-standard data collection, there was a significant amount of missing data on language preference (38.1%) and race/ethnicity (46.5%). Although these findings suggest LEP may play a role in the clinical management of persons with AD/ADRD in ADS, missing data caused by lack of standardized collection compromise the results.

conclusionIt is essential to improve data collection practices in ADS on language, race, and ethnicity to help identify health disparities and promote equitable care for marginalized older adults. [

Indexed as

Alzheimer DiseaseAgedCommunication BarriersEmergency Service, HospitalEthnicityHumansLanguage

Identifiers

PMID38569103
PMCPMC11187696
OpenAlexW4393861928

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.