Evidence map›Paper›PMID 38410743›Full record

ArticleHealth affairs scholar2024

Telehealth use during the early COVID-19 public health emergency and subsequent health care costs and utilization.

Jun Soo Lee, Ami Bhatt, Lisa M Pollack, Sandra L Jackson, Ji Eun Chang, Xin Tong, Feijun Luo

Abstract read
In one paragraph

Article in Health affairs scholar, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  6. Review
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

7 authors.

Jun Soo LeeDivision for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA 30341, United States.ORCID 0000-0003-3432-6466
Ami BhattASRT, Inc, Atlanta, GA 30346, United States.ORCID 0000-0003-3239-211X
Lisa M PollackDivision for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA 30341, United States.ORCID 0000-0002-6659-3967
Sandra L JacksonDivision for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA 30341, United States.ORCID 0000-0003-4810-0572
Ji Eun ChangDepartment of Public Health Policy and Management, School of Global Public Health, New York University, New York, NY 10003, United States.ORCID 0000-0002-4668-9013
Xin TongDivision for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA 30341, United States.ORCID 0000-0003-4016-8417
Feijun LuoDivision for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA 30341, United States.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Telehealth utilization increased during the COVID-19 pandemic, yet few studies have documented associations of telehealth use with subsequent medical costs and health care utilization. We examined associations of telehealth use during the early COVID-19 public health emergency (March-June 2020) with subsequent total medical costs and health care utilization among people with heart disease (HD). We created a longitudinal cohort of individuals with HD using MarketScan Commercial Claims data (2018-2022). We used difference-in-differences methodology adjusting for patients' characteristics, comorbidities, COVID-19 infection status, and number of in-person visits. We found that using telehealth during the stay-at-home order period was associated with a reduction in total medical costs (by -$1814 per person), number of emergency department visits (by -88.6 per 1000 persons), and number of inpatient admissions (by -32.4 per 1000 persons). Telehealth use increased per-person per-year pharmacy prescription claims (by 0.514) and average number of days' drug supply (by 0.773 days). These associated benefits of telehealth use can inform decision makers, insurance companies, and health care professionals, especially in the context of disrupted health care access.

Indexed as

difference-in-differencesemergency departmentheart diseaseinpatient admissionsreduction in medical coststelehealthtotal medical costs

Identifiers

PMID38410743
PMCPMC10895996

What OpenQuestion holds

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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.