Evidence map›Paper›PMID 41241382›Full record

ArticleJournal of the American Medical Directors Association2026

Telehealth Use by Residence Type in Older Adults Receiving Long-Term Services and Supports: The US National Core Indicators Survey (2021-2022).

Dana P Urbanski, Romil R Parikh, Jack M Wolf, Benjamin W Langworthy, Eric Jutkowitz, Tetyana P Shippee

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Dana P UrbanskiDepartment of Speech, Language and Hearing Sciences, Indiana University Bloomington, Bloomington, IN; Division of Health Policy & Management, University of Minnesota School of Public Health, Minneapolis, MN. Electronic address: urbanski@iu.edu.
Romil R ParikhDivision of Health Policy & Management, University of Minnesota School of Public Health, Minneapolis, MN.
Jack M WolfDivision of Biostatistics & Health Data Science, University of Minnesota School of Public Health, Minneapolis, MN.
Benjamin W LangworthyDivision of Biostatistics & Health Data Science, University of Minnesota School of Public Health, Minneapolis, MN.
Eric JutkowitzDepartment of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI; Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI; Evidence Synthesis Program Center Providence VA Medical Center, Providence, RI.
Tetyana P ShippeeDivision of Health Policy & Management, University of Minnesota School of Public Health, Minneapolis, MN.

Funding

Microsimulation Modeling to Compare the Effectiveness and Cost-Effectiveness of Nondrug Interventions to Manage Clinical Symptoms in Racially/Ethnically Diverse Persons with DementiaR01AG060871 · NIA · BROWN UNIVERSITY · PI JUTKOWITZ, ERIC · 2019 to 2022
$1.7M
Person-Reported and Health Care Utilization Outcomes of Home and Community Based Care Recipients With and Without Alzheimer's Disease and its Related DementiasR01AG069771 · NIA · UNIVERSITY OF MINNESOTA · PI JUTKOWITZ, ERIC, SHIPPEE, TETYANA P. · 2024 to 2024
$514k
NIA NIH HHS R01 AG060871NIA NIH HHS R01 AG069771
6 · The paper itself

Abstract

objectivesTelehealth can improve access to geriatric care, especially for vulnerable older adults facing transportation, mobility, and/or health-related barriers to in-person care. However, integrating telehealth into geriatric care requires consideration of the different residence types where older adults use telehealth. This study aimed to examine whether telehealth use among older adults using long-term services and supports (LTSS) differs by residence type, after adjusting for demographic and health-related factors, using data from the National Core Indicators-Aging and Disabilities Adult Consumer Survey.

designCross-sectional study. SETTING AND

participantsWe used data from the 2021-2022 National Core Indicators-Aging and Disabilities Adult Consumer Survey for LTSS users aged ≥65 years without intellectual or developmental disability.

methodsWe compared the proportion of telehealth users across residence types (community-dwelling, residential care, and nursing home), adjusting for sociodemographic and health-related factors, using multivariable logistic regression with state random effects.

resultsOf the 6925 respondents in the analytical sample, 4789 (69%) lived in the community, 1381 (20%) lived in residential care, and 755 (11%) were in nursing homes. Telehealth use was reported by 39% of community-dwelling respondents, 34% in residential care, and 20% in nursing homes. The regression model revealed that individuals in residential care and nursing homes had significantly lower adjusted odds of telehealth use than their community-dwelling counterparts [residential care: odds ratio (OR), 0.80; 95% CI, 0.69-0.92; nursing homes: OR, 0.37; 95% CI, 0.29-0.47]. Notably, nursing home residents had lower adjusted odds of telehealth use than those in residential care (OR, 0.46; 95% CI, 0.36-0.60). CONCLUSIONS AND IMPLICATIONS: Older LTSS users in residential care and nursing homes have significantly lower adjusted odds of using telehealth than those living in the community. These findings underscore the importance of considering residential context when evaluating telehealth access and delivery among older adults, particularly those using LTSS.

Indexed as

Long-Term CareResidence CharacteristicsTelemedicineAgedAged, 80 and overCross-Sectional StudiesFemaleHumansIndependent LivingMaleNursing HomesSurveys and QuestionnairesUnited Statesinstitutional carelong-term services and supportsnursing homesolder adultsresidence typeTelehealth

Identifiers

PMID41241382
PMCPMC12860964

What OpenQuestion holds

Textmetadata
LicenceTDM
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.