Evidence map›Paper›PMID 41109332›Full record

ArticleJournal of the American Medical Directors Association2025

Compiling Data of Workforce Policies: A Data Compendium About Direct Care Workers Caring for People With Dementia.

Lei Chen, Kyoko Peterson, Joanne Spetz

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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
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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Lei ChenPhilip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA, USA. Electronic address: lei.chen@ucsf.edu.
Kyoko PetersonPhilip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA, USA; Healthforce Center at UCSF, University of California San Francisco, San Francisco, CA, USA.
Joanne SpetzPhilip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA, USA; Healthforce Center at UCSF, University of California San Francisco, San Francisco, CA, USA.

Funding

Advancing Workforce Analysis and Research for Dementia (AWARD) NetworkR24AG077014 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOANNE E. SPETZ · 2022 to 2026
$1.9M
NIA NIH HHS R24 AG077014
6 · The paper itself

Abstract

Direct care workers in long-term care settings are essential to provide care for older adults and people with disabilities who have daily needs. There is an increasing demand for an adequately sized and well-prepared direct care workforce to support people living with dementia due to its rising prevalence. However, a lack of standardized policies and data leaves researchers and policymakers with little evidence to guide the development and refinement of workforce policies. The National Institute on Aging-funded Advancing Workforce Analysis and Research for Dementia Network is developing a compendium of policies and programs related to the demand, supply, working conditions, and skills of direct care workers, including dementia care-related attributes. For each policy, the compendium provides a description of the policy, an annotated list of related datasets, and a downloadable harmonized dataset with research-ready data. The data compendium is innovative in its organization of data and resources by policy topic. It encompasses a diverse range of sources, including government reports, organizational resources, large datasets, and data collected by researchers, and it can be linked with other data sources. The creation of a crowd-sourced repository of data on state and federal regulations in the United States will facilitate the rapid advancement of research and development for early stage researchers. The data compendium identifies research gaps that can be filled by leveraging these data, which have the potential to inform evidence-based policy and program development related to the long-term care workforce.

Indexed as

CaregiversDementiaHealth WorkforceOrganizational PolicyAgedHumansLong-Term CareUnited StatesdatasetsDirect care workerslong-term carepolicyworkforce

Identifiers

PMID41109332
PMCPMC12710215

What OpenQuestion holds

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LicenceCC BY
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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.