Evidence map›Paper›PMID 36469829›Full record

ArticleHealth affairs (Project Hope)2022

The Health Plan Environment In California Contributed To Differential Use Of Telehealth During The COVID-19 Pandemic.

Christopher M Whaley, Yuki Ito, Jonathan T Kolstad, David W Cowling, Benjamin Handel

Open access · greenAbstract read
In one paragraph

Article in Health affairs (Project Hope), 2022. 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
2.2field-weighted citation impact, top 12% 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, 11 citations in OpenAlex.

  1. Article
  2. On telemedicine and healthcare spending.International journal of circumpolar health · 2025
    Article
  3. Article
  4. Article
  5. Article
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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 at 5 institutions in 3 countries.

Christopher M WhaleyChristopher M. Whaley (cwhaley@rand.org), RAND Corporation, Santa Monica, California.
Yuki ItoYuki Ito, University of California Berkeley, Berkeley, California.
Jonathan T KolstadJonathan T. Kolstad, University of California Berkeley.
David W CowlingDavid W. Cowling, California Public Employees' Retirement System, Sacramento, California.
Benjamin HandelBenjamin Handel, University of California Berkeley.
Instituto Benjamin Constant · BRKolhan University · INRAND Corporation · USUniversity of California, Berkeley · USUniversity of California System · US

Funding

The Effects of Insurance Benefit Design Innovation on Patient HealthK01AG061274 · NIA · RAND CORPORATION · PI WHALEY, CHRISTOPHER · 2019 to 2023
$649k
NIA NIH HHS K01 AG061274
6 · The paper itself

Abstract

The COVID-19 pandemic has led to substantial increases in the use of telehealth and virtual care in the US. Differential patient and provider access to technology and resources has raised concerns that existing health disparities may be extenuated by shifts to virtual care. We used data from one of the largest providers of employer-sponsored insurance, the California Public Employees' Retirement System, to examine potential disparities in the use of telehealth. We found that lower-income, non-White, and non-English-speaking people were more likely to use telehealth during the period we studied. These differences were driven by enrollment in a clinically and financially integrated care delivery system, Kaiser Permanente. Kaiser's use of telehealth was higher before and during the pandemic than that of other delivery models. Access to integrated care may be more important to the adoption of health technology than patient-level differences.

Indexed as

COVID-19TelemedicineCaliforniaHealth PlanningHumansPandemics

Identifiers

PMID36469829
PMCPMC9973750
OpenAlexW4310735176

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.