Evidence map›Paper›PMID 37549891›Full record

ArticleThe Gerontologist2024

A National Typology of Health Service Regulation in Assisted Living.

Lindsey Smith, Paula Carder, Cassandra Hua, Sheryl Zimmerman, Philip D Sloane, Wenhan Zhang, Christopher J Wretman, Portia Cornell, Kali S Thomas

Open access · greenAbstract read
In one paragraph

Article in The Gerontologist, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

9 authors at 4 institutions in 1 country.

Lindsey SmithDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.ORCID 0000-0003-4630-3114
Paula CarderInstitute on Aging, Portland State University, Portland, Oregon, USA.
Cassandra HuaDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.ORCID 0000-0003-1249-7088
Sheryl ZimmermanThe Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Philip D SloaneThe Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Wenhan ZhangDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
Christopher J WretmanWretman Research, LLC, Hillsborough, North Carolina, USA.
Portia CornellDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.
Kali S ThomasDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.
United States Department of Veterans Affairs · USPortland State University · USUniversity of North Carolina at Chapel Hill · USDuke University · US

Funding

Addressing Behavior and Mood in Assisted Living: Organizational Characteristics Related to the Use of Antipsychotic and Psychotropic Medications and Alternative PracticesR01AG050602 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZIMMERMAN, SHERYL · 2015 to 2019
$3.9M
Do State Regulations Affect the Outcomes of Assisted Living Residents with Dementia?R01AG057746 · NIA · BROWN UNIVERSITY · PI THOMAS, KALI ST. MARIE · 2018 to 2020
$2.9M
NIA NIH HHS R01 AG050602NIA NIH HHS R01 AG057746NIA NIH HHS R01AG057746-03S1NIH HHS
6 · The paper itself

Abstract

BACKGROUND AND

objectivesState-regulating agencies use 350 different licenses and certifications to govern assisted living (AL), resulting in significant variation in regulations governing health services, the scope of practice, and capacity. This lack of standardization makes it difficult to compare and contrast AL operations and residents' outcomes across similarly regulated communities. RESEARCH DESIGN AND

methodsWe used qualitative and quantitative methods to empirically develop and describe a typology of state AL regulations that captures inter- and intrastate variation. Based on the rules governing health services, we created regulatory specificity scores for 5 thematic dimensions: medication administration, third-party care, skilled nursing, medication review, and licensed nurse staffing. With these scores, we conducted a K-means cluster analysis to identify groups of AL license types. To differentiate the regulatory types, we calculated standardized mean differences across structure, process, outcome, and resident characteristics of the AL communities licensed under each type.

resultsWe identified 6 types of AL differentiated by the regulatory provisions governing health services: Housing, Holistic, Hybrid, Hospitality, Healthcare, and Health Support. The types align with previous work and reflect tangible differences in resident characteristics, health service structures, processes, and outcomes. DISCUSSION AND IMPLICATIONS: This typology effectively captures differences across regulated dimensions and can inform and support quality of care. Researchers, policy-makers, and consumers may benefit from using this typology and acknowledging these differences in AL licensure when designing research studies, developing policies, and selecting an AL community.

Indexed as

Assisted Living FacilitiesCluster AnalysisDelivery of Health CareHealth ServicesHumansHealth policyHealth servicesHome and community-based servicesLicensureLong-term services and supports

Identifiers

PMID37549891
PMCPMC11020221
OpenAlexW4385618876

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.