Evidence map›Paper›PMID 35666556›Full record

Observational studyJournal of medical Internet research2022

Outpatient Care Among Users and Nonusers of Direct-to-Patient Telehealth: Observational Study.

Alison Cuellar, J Mary Louise Pomeroy, Sriteja Burla, Anupam B Jena

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

4 authors.

Alison CuellarDepartment of Health Administration and Policy, George Mason University, Fairfax, VA, United States.ORCID 0000-0001-6702-7601
J Mary Louise PomeroyDepartment of Health Administration and Policy, George Mason University, Fairfax, VA, United States.ORCID 0000-0001-7715-1964
Sriteja BurlaDepartment of Economics, George Mason University, Fairfax, VA, United States.ORCID 0000-0002-0372-5221
Anupam B JenaNational Bureau of Economic Research, Cambridge, MA, United States.ORCID 0000-0002-9734-5122

Funding

The Impact of Direct-to-Consumer, Video TelemedicineR01HS025163 · AHRQ · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI EVANS CUELLAR, ALISON · 2017 to 2019
$641k
AHRQ HHS R01 HS025163
6 · The paper itself

Abstract

backgroundExpansion of telehealth insurance coverage is hampered by concerns that such coverage may encourage excessive use and spending.

objectiveThe aim of this paper is to examine whether users of telehealth services rely more on other forms of outpatient care than nonusers, and to estimate the differences in payment rates.

methodsWe examined claims data from a large national insurer in 2017. We limited our analysis to patients with visits for 3 common diagnoses (N=660,546). We calculated the total number of visits per patient, overall, and by setting, and adjusted for patient- and county-level factors.

resultsAfter multivariable adjustment, telehealth-visit users, compared to nonusers, had 0.44 fewer visits to primary care, 0.11 fewer visits to emergency departments, and 0.17 fewer visits to retail and urgent care. All estimates are statistically significant at P<.001. Average payment rates for telehealth visits were lower than all other settings.

conclusionsThese findings suggest that telehealth visits may substitute rather than add to in-person care for some types of care. Our study suggests that telehealth visits may offer an efficient and less costly alternative.

Indexed as

COVID-19TelemedicineAmbulatory CareEmergency Service, HospitalHumansMarketingclaimscoveragein-personinsuranceinsureroutpatientpolicyprimary caretelehealthtelemedicineuservirtual

Identifiers

PMID35666556
PMCPMC9210206

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.