Evidence map›Paper›PMID 33151319›Full record

ArticleJAMA network open2020

Changes in Health Services Use Among Commercially Insured US Populations During the COVID-19 Pandemic.

Christopher M Whaley, Megan F Pera, Jonathan Cantor, Jennie Chang, Julia Velasco, Heather K Hagg, Neeraj Sood, Dena M Bravata

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 250 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
250citing papers in PubMed, 2 pooled it
24.2field-weighted citation impact, top 1% 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

250 citing papers in PubMed, 2 syntheses or guidelines pooled it, 423 citations in OpenAlex.

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  13. Financial incentives and information provision for post-pandemic primary care quality recovery: a longitudinal study in Catalonia.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
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190 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Christopher M WhaleyRAND Corporation, Santa Monica, California.
Megan F PeraCastlight Health, San Francisco, California.
Jonathan CantorRAND Corporation, Santa Monica, California.
Jennie ChangCastlight Health, San Francisco, California.
Julia VelascoCastlight Health, San Francisco, California.
Heather K HaggCastlight Health, San Francisco, California.
Neeraj SoodSol Price School of Public Policy and Schaeffer Center, University of Southern California, Los Angeles.
Dena M BravataCastlight Health, San Francisco, California.
RAND Corporation · USUniversity of Southern California · 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

Importance: The coronavirus disease 2019 (COVID-19) pandemic has placed unprecedented strain on patients and health care professionals and institutions, but the association of the pandemic with use of preventive, elective, and nonelective care, as well as potential disparities in use of health care, remain unknown. Objective: To examine changes in health care use during the first 2 months of the COVID-19 pandemic in March and April of 2020 relative to March and April of 2019 and 2018, and to examine whether changes in use differ by patient's zip code-level race/ethnicity or income. Design, Setting, and Participants: This cross-sectional study analyzed health insurance claims for patients from all 50 US states who receive health insurance through their employers. Changes in use of preventive services, nonelective care, elective procedures, prescription drugs, in-person office visits, and telemedicine visits were examined during the first 2 months of the COVID-19 pandemic in 2020 relative to existing trends in 2019 and 2018. Disparities in the association of the pandemic with health care use based on patient's zip code-level race and income were also examined. Results: Data from 5.6, 6.4, and 6.8 million US individuals with employer-sponsored insurance in 2018, 2019, and 2020, respectively, were analyzed. Patient demographics were similar in all 3 years (mean [SD] age, 34.3 [18.6] years in 2018, 34.3 [18.5] years in 2019, and 34.5 [18.5] years in 2020); 50.0% women in 2018, 49.5% women in 2019, and 49.5% women in 2020). In March and April 2020, regression-adjusted use rate per 10 000 persons changed by -28.2 (95% CI, -30.5 to -25.9) and -64.5 (95% CI, -66.8 to -62.2) for colonoscopies; -149.1 (95% CI, -162.0 to -16.2) and -342.1 (95% CI, -355.0 to -329.2) for mammograms; -60.0 (95% CI, -63.3 to -54.7) and -118.1 (95% CI, -112.4 to -113.9) for hemoglobin A1c tests; -300.5 (95% CI, -346.5 to -254.5) and -369.0 (95% CI, -414.7 to -323.4) for child vaccines; -4.6 (95% CI, -5.3 to -3.9) and -10.9 (95% CI, -11.6 to -10.2) for musculoskeletal surgery; -1.1 (95% CI, -1.4 to -0.7) and -3.4 (95% CI, -3.8 to -3.0) for cataract surgery; -13.4 (95% CI, -14.6 to -12.2) and -31.4 (95% CI, -32.6 to -30.2) for magnetic resonance imaging; and -581.1 (95% CI, -612.9 to -549.3) and -1465 (95% CI, -1496 to -1433) for in-person office visits. Use of telemedicine services increased by 227.9 (95% CI, 221.7 to 234.1) per 10 000 persons and 641.6 (95% CI, 635.5 to 647.8) per 10 000 persons. Patients living in zip codes with lower-income or majority racial/ethnic minority populations experienced smaller reductions in in-person visits (≥80% racial/ethnic minority zip code: 200.0 per 10 000 [95% CI, 128.9-270.1]; 79%-21% racial/ethnic minority zip code: 54.2 per 10 000 [95% CI, 33.6-74.9]) but also had lower rates of adoption of telemedicine (≥80% racial/ethnic minority zip code: -71.6 per 10 000 [95% CI, -87.6 to -55.5]; 79%-21% racial/ethnic minority zip code: -15.1 per 10 000 [95% CI, -19.8 to -10.4]). Conclusions and Relevance: In this cross-sectional study of a large US population with employer-sponsored insurance, the first 2 months of the COVID-19 pandemic were associated with dramatic reductions in the use of preventive and elective care. Use of telemedicine increased rapidly but not enough to account for reductions in in-person primary care visits. Race and income disparities at the zip code level exist in use of telemedicine.

Indexed as

SARS-CoV-2AdultCOVID-19Cross-Sectional StudiesEmploymentFemaleHealthcare DisparitiesHealth Services AccessibilityHumansInsurance, HealthMaleMiddle AgedMinority GroupsPatient Acceptance of Health CarePatient PreferencePrimary Health Care

Identifiers

PMID33151319
PMCPMC7645698
OpenAlexW3095526646

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.