Evidence mapPaperPMID 39974005Full record

ArticlemedRxiv : the preprint server for health sciences2025

Program Cost and Return on Investment of a Remote Patient Monitoring Program for Hypertension Management.

Donglan Stacy Zhang, Laure Millet, Brandon K Bellows, Sarah Lee, Devin Mann

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Donglan Stacy ZhangCenter for Population Health and Health Services Research, Department of Foundations of Medicine, New York University Grossman Long Island School of Medicine, Mineola, NY.ORCID 0000-0001-5225-4721
Laure MilletHealthcare Innovations Bridging Research, Informatics and Design, Department of Population Health, New York University Grossman School of Medicine, New York, NY.
Brandon K BellowsDivision of General Medicine, Columbia University Irving Medical Center.
Sarah LeeCenter for Population Health and Health Services Research, Department of Foundations of Medicine, New York University Grossman Long Island School of Medicine, Mineola, NY.
Devin MannHealthcare Innovations Bridging Research, Informatics and Design, Department of Population Health, New York University Grossman School of Medicine, New York, NY.

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

Objective: To evaluate the program costs and financial sustainability of a remote patient monitoring for hypertension (RPM-HTN) program implemented in the cardiology practice of a large healthcare system. Study Design: This economic evaluation utilized field observation, interviews, literature review, and quantitative analysis to assess RPM-HTN from March to June 2024 at New York University Langone Health. Methods: A costing tool was developed to quantify program costs, including personnel, start-up, equipment, and supply expenses, expressed in 2024 USD. Reimbursement rates were estimated using the 2024 Medicare Physician Fee Schedule. The return on investment (ROI) was calculated as the ratio of net return to program costs. Univariate sensitivity analyses evaluated the impact of varying a single parameter at a time on ROI. Results: The average cost of RPM-HTN was $330 per patient (range: $208-$452), with an annual program cost of $33,000 (range: $20,785-$45,168) for 100 patients enrolled from the Cardiology Division. Key expenses included data review by nurse practitioners ($172/patient), blood pressure device costs ($48/patient), and nurse-patient communication ($36/patient). ROI averaged 22.2% at 55% patient compliance with the RPM-HTN program. This ROI ranged from -11.1% (assuming program costs of $452) to 93.3% (assuming program costs of $208) per patient. ROI was most sensitive to changes in data review costs, insurance reimbursement, patient compliance, and device setup. Conclusions: The RPM-HTN program demonstrated positive ROI, indicating financial sustainability in a large urban healthcare system. Improving patient compliance with the program and reducing human resource costs are critical for scaling RPM-HTN programs effectively.

Indexed as

HypertensionProgram CostRemote Patient MonitoringReturn-On-Investment Analysis

Identifiers

PMID39974005
PMCPMC11838636

What Socratic holds

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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 Socratic graph.