Evidence map›Paper›PMID 41510276›Full record

ArticleResearch square2025

Trajectories of In-Person and Remote Care Utilization: A Sequence Analysis of Primary Care Modalities Pre- and Post-COVID-19.

Taylor Rapson, Kathryn E Kemper-McIsaac, Namuun Clifford, Elizabeth B Sherwin, Lucia Pacca, Anna Rubinsky, Courtney Lyles, Elaine C Khoong

Abstract readPreprint
In one paragraph

Article in Research square, 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

5 · Who and what money

Authors and funding

8 authors.

Taylor RapsonUniversity of Washington.
Kathryn E Kemper-McIsaacUniversity of California San Francisco.
Namuun CliffordThe University of Texas at Austin.
Elizabeth B SherwinUniversity of California San Francisco.
Lucia PaccaUniversity of California San Francisco.
Anna RubinskyUniversity of California San Francisco.
Courtney LylesUniversity of California, Davis.
Elaine C KhoongUniversity of California San Francisco.

Funding

Institutional Career Development Core SupplementKL2TR001870 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SARKAR, URMIMALA · 2016 to 2025
$19.7M
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Precision Health Intervention Methodology Training in Self-Management of Multiple Chronic ConditionsT32NR019035 · NINR · UNIVERSITY OF TEXAS AT AUSTIN · PI STUIFBERGEN, ALEXA · 2020 to 2024
$995k
Designing a Remote Monitoring Intervention for Value & Equity in Hypertension (DRIVE-HTN)K23HL157750 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KHOONG, ELAINE · 2021 to 2025
$921k
NCATS NIH HHS KL2 TR001870NHLBI NIH HHS K23 HL157750NIDDK NIH HHS P30 DK092924NINR NIH HHS T32 NR019035
6 · The paper itself

Abstract

The COVID-19 pandemic propelled the growth of virtual care, but few studies have examined how it reshaped care utilization patterns longitudinally across diverse populations. We used multichannel sequence analysis to classify 10,671 diabetic adults at two San Francisco health systems by utilization patterns from April 2019-March 2023. Patients who transitioned to digital care were Black or White, were Medicare beneficiaries, or had higher comorbidity burdens. Individuals who increased their combined in-person and virtual healthcare utilization were Hispanic with Spanish language preference and had greater disease burden. Those who decreased care utilization overall were Asian with Chinese language preference and had low patient portal engagement. While technology-enabled care models have the potential to enhance access, certain populations may be at risk of reduced access to care. Health systems should consider targeted interventions to ensure equitable access to telehealth for populations at risk of digital exclusion with the growth of remote care.

Indexed as

between-visit carehealthcare utilizationhealth disparitiesSequence analysistelehealth

Identifiers

PMID41510276
PMCPMC12776486

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.