Evidence mapPaperPMID 41813229Full record

ArticleJournal of medical Internet research2026

Remote Patient Monitoring in Louisiana Medicare Beneficiaries With Diabetes or Hypertension: Retrospective Cohort Study of 2016-2020 Claims Data.

Debra Winberg, Charles Stoecker, Jian Li, Lizheng Shi

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Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Debra WinbergDepartment of Health Management and Policy, School of Health, Georgetown University, St Mary's Hall, 3700 Reservoir Road, Washington, DC, 20057, United States, 1 202-687-4221.ORCID http://orcid.org/0000-0003-2909-1455
Charles StoeckerDepartment of Health Policy and Management, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 20057, United States.ORCID http://orcid.org/0000-0001-5438-9312
Jian LiDepartment of Biostatistics, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 20057, United States.ORCID http://orcid.org/0000-0002-9377-4720
Lizheng ShiDepartment of Health Policy and Management, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 20057, United States.ORCID http://orcid.org/0000-0002-7827-6766

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic conditions such as diabetes and hypertension pose major public health and economic challenges. Innovative tools, including remote patient monitoring (RPM), aim to address barriers to care by digitally transmitting health data to providers. Objective: This study assesses the impact of RPM on health care utilization in Medicare beneficiaries with diabetes or hypertension. Methods: This retrospective cohort study used a longitudinal panel from 2016 to 2020 based on Louisiana Medicare Fee-for-Service claims and Beneficiary Files. Patients were included if they were diagnosed with diabetes or hypertension before 2016. RPM exposure was defined by common procedure terminology/healthcare common procedure coding system codes (eg, 99453, 99454, 99457, 99458, 95250, 95251, 99091, E2100-E2103, E0607), with the corresponding month considered the treatment month. Control beneficiaries were randomly assigned treatment months matching the treatment group. Outcomes were monthly counts per 1000 beneficiaries of outpatient, emergency department, and inpatient visits (all-cause and disease-specific), constructed via revenue center/place-of-service/primary ICD-10 (International Classification of Diseases-10) codes. We estimated inverse-probability-treatment-weighted 2-way fixed-effects models with standard errors clustered at the physician level. Data represent secondary analysis of deidentified claims; no participant recruitment occurred. All confidence intervals are reported at the 95% confidence level. Results: The study included 5488 beneficiaries in the treatment group and 341,226 in the control group. RPM was associated with increased level of outpatient visits in the treatment group by 2284.01 (95% CI 2059.75-2508.27) visits per month per 1000 people (P<.001) after initiation and decreased the trend of outpatient visits by 37.61 (95% CI -37.98 to -37.24) visits per month per 1000 people compared with the control group (P<.001). Similarly, the level of emergency room visits increased in the treatment compared with the control by 84.60 (95% CI 72.21 to 96.99) visits per month per 1000 people initially after RPM initiation (P<.001) and decreased the trend by 1.40 (95% CI -1.60 to -1.20) visits per month per 1000 people (P<.001). The level of inpatient visits increased by 32.64 (95% CI 24.84-40.44) visits per month per 1000 beneficiaries in the treatment group compared with the control immediately after RPM prescription (P=.002), but the trend decreased by 0.54 (95% CI -0.66 to -0.42) visits per 1000 people each month (P<.001). Conclusions: This study is among the first large, claims-based evaluations of RPM in older adults with diabetes or hypertension using a beneficiary- and time-fixed-effects design. We identify a pattern of increased health care utilization following RPM initiation, followed by a gradual decline that does not fully offset the initial increase. By characterizing utilization trajectories and not clinical endpoints, this study helps reconcile inconsistent findings in prior RPM research and highlights the importance of implementation factors in Medicare populations. Strategies to maximize the value of RPM may include appropriate population targeting, patient education on digital health technologies, and clinician workflow support to support effective integration into routine care.

Indexed as

Diabetes MellitusHypertensionMedicareAgedAged, 80 and overEmergency Room VisitsFemaleHumansLouisianaMaleRemote Patient MonitoringRetrospective StudiesUnited Statesdiabeteshealth utilizationhypertensionmedicareremote patient monitoring

Identifiers

PMID41813229
PMCPMC12979976

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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 Socratic graph.