Evidence map›Paper›PMID 39046633›Full record

Observational studyJournal of general internal medicine2024

Patterns of Telemedicine Use in Primary Care for People with Dementia in the Post-pandemic Period.

Julia Adler-Milstein, Anjali Gopalan, Jie Huang, Christopher Toretsky, Mary Reed

Abstract readObservational Study
In one paragraph

Observational study in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Julia Adler-MilsteinCenter for Clinical Informatics and Improvement Research, Department of Medicine, University of California, San Francisco, CA, USA. Julia.adler-milstein@ucsf.edu.ORCID 0000-0002-0262-6491
Anjali GopalanKaiser Permanente Northern California (KPNC) Division of Research, Oakland, CA, USA.
Jie HuangKaiser Permanente Northern California (KPNC) Division of Research, Oakland, CA, USA.
Christopher ToretskyCenter for Clinical Informatics and Improvement Research, Department of Medicine, University of California, San Francisco, CA, USA.
Mary ReedKaiser Permanente Northern California (KPNC) Division of Research, Oakland, CA, USA.

Funding

Assessing the Long-term Impact of COVID-induced Telemedicine Expansion on Dementia CareRF1AG077623 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADLER-MILSTEIN, JULIA ROSE · 2022 to 2022
$2.3M
Assessing the Long-term Impact of COVID-induced Telemedicine Expansion on Dementia CareR01AG077623 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JULIA Rose ADLER-MILSTEIN · 2025 to 2026
$1.6M
NIA NIH HHS 1R01AG077623-01NIA NIH HHS RF1 AG077623
6 · The paper itself

Abstract

backgroundThe pandemic rapidly expanded telemedicine, which has persisted as a widely available primary care modality. The uptake of telemedicine among people with dementia specifically in the primary care setting, who have more complex care needs but also benefit from more accessible primary care, is unknown.

objectiveAmong people with dementia, assess uptake of telemedicine-based primary care in the post-pandemic period and determine associations with key socio-demographic characteristics.

designRetrospective observational study. SUBJECTS: People with dementia at UCSF and Kaiser Permanente Northern CA (KPNC) with at least one primary care encounter in pre- (3/1/2019-2/29/2020) or post-COVID (3/1/2021-2/28/2022) periods, post-COVID sample: N= 419 individuals (UCSF), N=18,037 (KPNC). MAIN MEASURES: Encounter modality: in-person, video telemedicine, or telephone telemedicine. Focal socio-demographic characteristics: age, limited English proficiency, socioeconomic status, driving distance to clinic, and caregiver at encounter. KEY

resultsThere was a large increase in telemedicine among people with dementia in the post-pandemic period at both sites. At KPNC, those with only in-person primary care visits shrunk from 60.47% (pre) to 26.95% (post). At UCSF, the change was even greater: 98.99% to 35.08%. Across both sites, the only measure significantly associated with use of telemedicine was greater driving distance from home to clinic. At KPNC, those over age 90 were most likely to use telemedicine while patients with limited English proficiency and those with a caregiver at the encounter used telemedicine at lower levels. The relationships were similar at UCSF but not statistically significant.

conclusionsTelemedicine use is high for people with dementia in the primary care setting in the post-pandemic period. Those with longer drives to clinic and the oldest patients were most likely to use telemedicine, likely due to challenges traveling to appointments. Still, not all people with dementia used telemedicine equally-particularly those with limited English proficiency.

Indexed as

COVID-19DementiaPrimary Health CareTelemedicineAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective Studiesdementia careprimary caresocio-economic statustelemedicineutilization

Identifiers

PMID39046633
PMCPMC11576693

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Registered trials

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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.