Evidence map›Paper›PMID 39069895›Full record

ArticleCirculation. Cardiovascular quality and outcomes2024

Impact of State Telehealth Parity Laws for Private Payers on Hypertension Medication Adherence Before and During the COVID-19 Pandemic.

Donglan Zhang, Jun Soo Lee, Adebola Popoola, Sarah Lee, Sandra L Jackson, Lisa M Pollack, Xiaobei Dong, Nicole L Therrien, Feijun Luo

Abstract read
In one paragraph

Article in Circulation. Cardiovascular quality and outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Donglan ZhangCenter for Population Health and Health Services Research, Department of Foundations of Medicine (D.Z., S.L.), New York University Grossman Long Island School of Medicine, Mineola.ORCID 0000-0001-5225-4721
Jun Soo LeeDivision for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA (J.S.L., A.P., S.L.J., L.M.P., N.L.T., F.L.).ORCID 0000-0003-3432-6466
Adebola PopoolaDivision for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA (J.S.L., A.P., S.L.J., L.M.P., N.L.T., F.L.).ORCID 0000-0002-7976-8471
Sarah LeeCenter for Population Health and Health Services Research, Department of Foundations of Medicine (D.Z., S.L.), New York University Grossman Long Island School of Medicine, Mineola.
Sandra L JacksonDivision for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA (J.S.L., A.P., S.L.J., L.M.P., N.L.T., F.L.).ORCID 0000-0003-4810-0572
Lisa M PollackDivision for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA (J.S.L., A.P., S.L.J., L.M.P., N.L.T., F.L.).ORCID 0000-0002-6659-3967
Xiaobei DongJoseph J. Zilber College of Public Health, University of Wisconsin-Milwaukee (X.D.).ORCID 0000-0002-7710-1518
Nicole L TherrienDivision for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA (J.S.L., A.P., S.L.J., L.M.P., N.L.T., F.L.).ORCID 0000-0001-7306-0280
Feijun LuoDivision for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA (J.S.L., A.P., S.L.J., L.M.P., N.L.T., F.L.).ORCID 0000-0002-7132-2854

Funding

Using machine learning and causal inference approaches to investigate disparities in Alzheimer’s disease and related dementias outcomesR01MD013886 · NIMHD · UNIVERSITY OF GEORGIA · PI ZHANG, DONGLAN · 2019 to 2022
$2.4M
NIMHD NIH HHS R01 MD013886
6 · The paper itself

Abstract

backgroundTelehealth has emerged as an effective tool for managing common chronic conditions such as hypertension, especially during the COVID-19 pandemic. However, the impact of state telehealth payment and coverage parity laws on hypertension medication adherence remains uncertain.

methodsData from the 2016 to 2021 Merative MarketScan Commercial Claims and Encounters Database were used to construct the study cohort, which included nonpregnant individuals aged 25 to 64 years with hypertension. We coded telehealth parity laws related to hypertension management in all 50 US states and the District of Columbia, distinguishing between payment and coverage parity laws. The primary outcomes were measures of antihypertension medication adherence: the average medication possession ratio; medication adherence (medication possession ratio ≥80%); and average number of days of drug supply. We used a generalized difference-in-differences design to examine the impact of these laws.

resultsAmong 353 220 individuals (mean [SD] age, 49.5 (7.1) years; female, 45.55%), states with payment parity laws were significantly linked to increased average medication possession ratio by 0.43 percentage point (95% CI, 0.07-0.79), and an increase of 0.46 percentage point (95% CI, 0.06-0.92) in the probability of medication adherence. Payment parity laws also led to an average increase of 2.14 days (95% CI, 0.11-4.17) in prescription supply, after controlling for state-fixed effects, year-fixed effects, individual sociodemographic characteristics and state time-varying covariates including unemployment rates, gross domestic product per capita, and poverty rates. In contrast, coverage parity laws were associated with a 2.13-day increase (95% CI, 0.19-4.07) in days of prescription supply but did not significantly increase the average medication possession ratio or probability of medication adherence.

conclusionsState telehealth payment parity laws were significantly associated with greater medication adherence, whereas coverage parity laws were not. With the increasing adoption of telehealth parity laws across states, these findings may support policymakers in understanding potential implications on management of hypertension.

Indexed as

Antihypertensive AgentsCOVID-19HypertensionMedication AdherenceTelemedicineAdultDatabases, FactualFemaleHumansMaleMiddle AgedSARS-CoV-2Time FactorsUnited StatesAntihypertensive Agentschronic diseasecoverage parityhypertensionpandemicspayment paritytelehealth

Identifiers

PMID39069895
PMCPMC11929584

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.