Evidence map›Paper›PMID 39570880›Full record

ArticlePloS one2024

Protocol: A mixed-methods study to evaluate implementation and outcomes of U.S. state telemental health policy expansion during the COVID-19 pandemic.

Lucinda B Leung, Jasmeen J Santos, José J Escarce, Susan L Ettner, Claudia Der-Martirosian, Pushpa Raja, Alexander D McCourt, John Fortney, Emma E McGinty

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Effect of State Medicaid Reimbursement Policies on Telehealth Visits in Community-Based Health Centers.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2026
    Article
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

9 authors.

Lucinda B LeungDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America.ORCID 0000-0002-8103-8611
Jasmeen J SantosDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America.
José J EscarceDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America.
Susan L EttnerDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America.
Claudia Der-MartirosianCenter for the Study of Healthcare Innovation, Implementation & Policy, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California, United States of America.
Pushpa RajaCenter for the Study of Healthcare Innovation, Implementation & Policy, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California, United States of America.
Alexander D McCourtJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
John FortneyDepartment of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, Washington, United States of America.
Emma E McGintyDivision of Health Policy and Economics, Weill Cornell Medicine, New York, New York, United States of America.

Funding

Telehealth policy expansion's impact on patient care & mental healthRF1MH133436 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEUNG, LUCINDA B · 2023 to 2023
$2.8M
HSRD VA IK2 HX002867NIMH NIH HHS RF1 MH133436
6 · The paper itself

Abstract

backgroundUntil the COVID-19 pandemic, it had not been possible to examine the effect of rapid policy changes surrounding telemental health on patient-reported mental health care access, costs, symptoms, and functioning. Sizable variation in telemental health use by patient race-ethnicity, age, and rurality, and in its adoption across healthcare settings, underscores the need to study equitable dissemination and implementation of high-quality telemental health services in the real world. This protocol describes an explanatory sequential mixed-methods study that aims to examine the effects of state telemental health policy expansion on patient-reported mental health outcomes, as well as the policy-to-practice pathway from the perspectives of state leaders, clinicians, and staff who care for underserved patients.

methodsThis study uses legal mapping research methods to characterize the effective dates and specific provisions of telemental health policies (e.g., Medicaid reimbursement, private payer laws, professional licensure requirements) before and during the COVID-19 pandemic in all 50 U.S. states and Washington, D.C. Then, we will examine state factors (e.g., COVID-19 cases, broadband internet access) explaining these telemental health policies using discrete-time hazard models. The primary quantitative analysis employs a difference-in-difference approach to predict effects on outcome measures using a nationally representative survey of individuals. Using the Medical Expenditure Panel Survey, we will examine policy effects on (a) access to, use of, and expenditures related to mental health care and (b) mental health outcomes, functioning, and employment. Finally, qualitative methods will be used to obtain feedback from state leaders, administrators, clinicians, and clinic staff members on how state telemental health policy expansion influenced mental health services delivery during the pandemic, with a focus on improving safety-net care. We will use a positive deviance approach to select key partners from 6 "high" and 6 "low" telehealth expansion states for interviews and focus groups. DISCUSSION: The overall study goal is to better understand the effect of pandemic-related state policy changes around telehealth on patient-reported mental health care access, costs, symptoms, and functioning. By characterizing variations in telehealth policies and their downstream effects, this mixed-methods study aims to inform equitable dissemination, implementation, and sustainment of high-quality telemental health services.

Indexed as

COVID-19Health PolicyPandemicsTelemedicineHealth Services AccessibilityHumansMental HealthMental Health ServicesMental Health TeletherapySARS-CoV-2United States

Identifiers

PMID39570880
PMCPMC11581288

What OpenQuestion holds

Textmetadata
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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.