Original Research
7 November 2023

Effects of Remote Patient Monitoring Use on Care Outcomes Among Medicare Patients With Hypertension: An Observational Study

Publication: Annals of Internal Medicine
Volume 176, Number 11
Visual Abstract. Effects of Remote Patient Monitoring Use on Care Outcomes Among Medicare Patients With Hypertension Remote patient monitoring (RPM) is used with increasing frequency for chronic conditions, particularly hypertension. This study uses Medicare data to emulate a cluster randomized trial on the use of RPM for hypertension care at the practice level, with focus on hypertension medication use, outpatient visit use, testing and imaging use, hypertension-related acute care use, and total hypertension-related spending.
Visual Abstract. Effects of Remote Patient Monitoring Use on Care Outcomes Among Medicare Patients With Hypertension
Remote patient monitoring (RPM) is used with increasing frequency for chronic conditions, particularly hypertension. This study uses Medicare data to emulate a cluster randomized trial on the use of RPM for hypertension care at the practice level, with focus on hypertension medication use, outpatient visit use, testing and imaging use, hypertension-related acute care use, and total hypertension-related spending.

Abstract

Background:

Remote patient monitoring (RPM) is a promising tool for improving chronic disease management. Use of RPM for hypertension monitoring is growing rapidly, raising concerns about increased spending. However, the effects of RPM are still unclear.

Objective:

To estimate RPM’s effect on hypertension care and spending.

Design:

Matched observational study emulating a longitudinal, cluster randomized trial. After matching, effect estimates were derived from a regression analysis comparing changes in outcomes from 2019 to 2021 for patients with hypertension at high-RPM practices versus those at matched control practices with little RPM use.

Setting:

Traditional Medicare.

Patients:

Patients with hypertension.

Intervention:

Receipt of care at a high-RPM practice.

Measurements:

Primary outcomes included hypertension medication use (medication fills, adherence, and unique medications received), outpatient visit use, testing and imaging use, hypertension-related acute care use, and total hypertension-related spending.

Results:

192 high-RPM practices (with 19 978 patients with hypertension) were matched to 942 low-RPM control practices (with 95 029 patients with hypertension). Compared with patients with hypertension at matched low-RPM practices, patients with hypertension at high-RPM practices had a 3.3% (95% CI, 1.9% to 4.8%) relative increase in hypertension medication fills, a 1.6% (CI, 0.7% to 2.5%) increase in days’ supply, and a 1.3% (CI, 0.2% to 2.4%) increase in unique medications received. Patients at high-RPM practices also had fewer hypertension-related acute care encounters (−9.3% [CI, −20.6% to 2.1%]) and reduced testing use (−5.9% [CI, −11.9% to 0.0%]). However, these patients also saw increases in primary care physician outpatient visits (7.2% [CI, −0.1% to 14.6%]) and a $274 [CI, $165 to $384]) increase in total hypertension-related spending.

Limitation:

Lacked blood pressure data; residual confounding.

Conclusion:

Patients in high-RPM practices had improved hypertension care outcomes but increased spending.

Primary Funding Source:

National Institute of Neurological Disorders and Stroke.

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Supplemental Material

Supplementary Material

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Information & Authors

Information

Published In

cover image Annals of Internal Medicine
Annals of Internal Medicine
Volume 176Number 11November 2023
Pages: 1465 - 1475

History

Published online: 7 November 2023
Published in issue: November 2023

Keywords

Authors

Affiliations

Harvard Graduate School of Arts and Sciences, Cambridge; and Harvard Business School, Boston, Massachusetts (M.T.)
Carter H. Nakamoto, AB
Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts (C.H.N.)
Harvard Business School, Boston; and Harvard-MIT Center for Regulatory Science, Boston, Massachusetts (A.D.S.)
Jose R. Zubizarreta, PhD
Department of Health Care Policy, Harvard Medical School, Boston; Department of Biostatistics, Harvard School of Public Health, Boston; and Department of Statistics, Harvard University, Cambridge, Massachusetts (J.R.Z.)
Felippe O. Marcondes, MD, MPH https://orcid.org/0000-0001-6991-5055
Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts (F.O.M.)
Lori Uscher-Pines, PhD, MSc
RAND Corporation, Arlington, Virginia (L.U.)
Stroke Division, Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts (L.H.S.)
Department of Health Care Policy, Harvard Medical School, Boston; and Beth Israel Deaconess Medical Center, Boston, Massachusetts (A.M.).
Grant Support: By National Institute of Neurological Disorders and Stroke grant R01NS111952.
Reproducible Research Statement: Study protocol: Not available. Statistical code: Detailed R code for practice matching is provided in our Supplement Methods; additional code is available upon request via e-mail to Mitchell Tang (e-mail, [email protected]). Data set: All data were sourced from the Chronic Conditions Warehouse Virtual Research Data Center (VRDC) and cannot be shared due to data use agreement restrictions. They can be accessed directly via the VRDC.
Corresponding Author: Ateev Mehrotra, MD, MPH, Department of Health Care Policy, Harvard Medical School, 180A Longwood Avenue, Boston, MA 02115; e-mail, [email protected].
Author Contributions: Conception and design: M. Tang, C.H. Nakamoto, A.D. Stern, L. Uscher-Pines, A. Mehrotra.
Analysis and interpretation of the data: M. Tang, C.H. Nakamoto, A.D. Stern, J.R. Zubizarreta, L. Uscher-Pines, L.H. Schwamm, A. Mehrotra.
Drafting of the article: M. Tang, A.D. Stern.
Critical revision of the article for important intellectual content: M. Tang, C.H. Nakamoto, F.O. Marcondes, L. Uscher-Pines, L.H. Schwamm, A. Mehrotra.
Final approval of the article: M. Tang, C.H. Nakamoto, A.D. Stern, J.R. Zubizarreta, F.O. Marcondes, L. Uscher-Pines, L.H. Schwamm, A. Mehrotra.
Statistical expertise: J.R. Zubizarreta.
Obtaining of funding: L. Uscher-Pines, A. Mehrotra.
Administrative, technical, or logistic support: M. Tang, A.D. Stern, A. Mehrotra.
Collection and assembly of data: M. Tang, A. Mehrotra.
This article was published at Annals.org on 7 November 2023.

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Mitchell Tang, Carter H. Nakamoto, Ariel D. Stern, et al. Effects of Remote Patient Monitoring Use on Care Outcomes Among Medicare Patients With Hypertension: An Observational Study. Ann Intern Med.2023;176:1465-1475. [Epub 7 November 2023]. doi:10.7326/M23-1182

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