Evidence map›Paper›PMID 39013475›Full record

Observational studyJournal of the American Medical Directors Association2024

Telemedicine Utilization Among Residents With Alzheimer Disease and Related Dementia: Association With Nursing Home Characteristics.

Qiuyuan Qin, Mingting Yang, Peter Veazie, Helena Temkin-Greener, Yeates Conwell, Shubing Cai

Abstract readObservational Study
In one paragraph

Observational study in Journal of the American Medical Directors Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Telehealth Use at the End-of-Life Among US Nursing Home Residents.Journal of the American Medical Directors Association · 2025
    Article
  4. Observational
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.

Qiuyuan QinDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA. Electronic address: Qiuyuan_Qin@urmc.rochester.edu.
Mingting YangDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Peter VeazieDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Helena Temkin-GreenerDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Yeates ConwellDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Shubing CaiDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.

Funding

The impact of COVID-19 pandemic on community-dwelling older adults with ADRDRF1AG063811 · NIA · UNIVERSITY OF ROCHESTER · PI CAI, SHUBING · 2019 to 2020
$2.2M
Telemedicine and health disparities among community-dwelling older adults with ADRD during COVID-19 pandemicRF1AG073052 · NIA · UNIVERSITY OF ROCHESTER · PI CAI, SHUBING · 2021 to 2021
$1.4M
Telemedicine and health disparities among community-dwelling older adults with ADRD during COVID-19 pandemicR01AG073052 · NIA · UNIVERSITY OF ROCHESTER · PI CAI, SHUBING · 2024 to 2024
$245k
NIA NIH HHS R01 AG073052NIA NIH HHS RF1 AG063811NIA NIH HHS RF1 AG073052
6 · The paper itself

Abstract

objectiveTo examine telemedicine use among nursing home (NH) residents with Alzheimer disease and related dementias (ADRD) and the associations with NH characteristics.

designObservational study. SETTING AND

participants2020-2021 Minimum Data Set 3.0, Medicare datasets, and Nursing Home Compare data were linked. A total of 10,810 NHs were identified.

methodsThe outcome variable was the percentage of residents with ADRD who used telemedicine in an NH in a quarter. The main independent variables were NH racial and ethnic compositions (ie, percentages of Black and Hispanic residents) and NH rurality. A set of linear models with NH random effects were estimated. The analysis was stratified by COVID-19 pandemic stages, including the beginning of the pandemic [second quarter of 2020 (2020 Q2)], before and after the widespread of the COVID-19 vaccine (ie, 2020 Q3-2021 Q1 and 2021 Q2-2021 Q4).

resultsThe proportion of residents with ADRD in NHs who had telemedicine use declined from 35.0% in 2020 Q2 to 9.3% in 2021 Q4. After adjusting for other NH characteristics, NHs with a high proportion of Hispanic residents were 2.7 percentage points more likely to use telemedicine for residents with ADRD than those with a low proportion during 2021 Q2-2021 Q4 (P < .001), whereas NHs with a high proportion of Black residents were 1.5 percentage points less likely to use telemedicine than those with a low proportion (P < .01). Additionally, compared with metropolitan NHs, rural NHs were 6.4 percentage points less likely to use telemedicine in 2020 Q2 (P < .001), but 5.9 percentage points more likely to use telemedicine during 2021 Q2-2021 Q4 (P < .001). We also detected the relationship between telemedicine use and other NH characteristics, such as NH quality, staffing level, and Medicaid-pay days. CONCLUSIONS AND IMPLICATIONS: The proportion of residents with ADRD in NHs who had telemedicine use decreased during the pandemic. Telemedicine could improve health care access for NHs with a high proportion of Hispanic residents and NHs in remote areas. Future studies should investigate how telemedicine use affects the health outcomes of NH residents with ADRD.

Indexed as

Alzheimer DiseaseCOVID-19Nursing HomesTelemedicineAgedAged, 80 and overDementiaFemaleHumansMaleMedicarePandemicsSARS-CoV-2United StatesAlzheimer disease and related dementiaCOVID-19nursing hometelemedicine

Identifiers

PMID39013475
PMCPMC11446156

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.