Evidence map›Paper›PMID 37187442›Full record

ArticleAmerican journal of preventive medicine2023

The Health and Economic Impact of Expanding Home Blood Pressure Monitoring.

Yan Li, Donglan Zhang, Weixin Li, Zhuo Chen, Janani Thapa, Lan Mu, Haidong Zhu, Yanbin Dong, Lihua Li, José A Pagán

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Observational
  3. Observational
  4. Article
  5. National Patterns of Remote Patient Monitoring Service Availability at US Hospitals.Circulation. Cardiovascular quality and outcomes · 2025
    Article
  6. Article
  7. Article
  8. 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

10 authors at 6 institutions in 2 countries.

Yan LiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York. Electronic address: yanliacademic@gmail.com.
Donglan ZhangDepartment of Foundations of Medicine, NYU Long Island School of Medicine, Mineola, New York. Electronic address: donglan.zhang@nyulangone.org.
Weixin LiDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
Zhuo ChenDepartment of Health Policy & Management, College of Public Health, University of Georgia, Athens, Georgia.
Janani ThapaDepartment of Health Policy & Management, College of Public Health, University of Georgia, Athens, Georgia.
Lan MuDepartment of Geography, Franklin College of Arts and Sciences, University of Georgia, Athens, Georgia.
Haidong ZhuGeorgia Prevention Institute, Department of Medicine, Medical College of Georgia, Augusta University, Augusta, Georgia.
Yanbin DongGeorgia Prevention Institute, Department of Medicine, Medical College of Georgia, Augusta University, Augusta, Georgia.
Lihua LiDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
José A PagánDepartment of Public Health Policy and Management, School of Global Public Health, New York University, New York, New York.
University of Georgia · USAugusta University · USIcahn School of Medicine at Mount Sinai · USLong Island University · USNew York University · USShanghai Jiao Tong University · CN

Funding

Assessment of Policies through Prediction of Long-term Effects on Cardiovascular Disease Using Simulation (APPLE CDS)R01HL141427 · NHLBI · NEW YORK ACADEMY OF MEDICINE · PI LIU, BIAN, YI, STELLA S · 2018 to 2021
$3.5M
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
NHLBI NIH HHS R01 HL141427NIMHD NIH HHS R01 MD013886
6 · The paper itself

Abstract

introductionHome blood pressure monitoring is more convenient and effective than clinic-based monitoring in diagnosing and managing hypertension. Despite its effectiveness, there is limited evidence of the economic impact of home blood pressure monitoring. This study aims to fill this research gap by assessing the health and economic impact of adopting home blood pressure monitoring among adults with hypertension in the U.S.

methodsA previously developed microsimulation model of cardiovascular disease was used to estimate the long-term impact of adopting home blood pressure monitoring versus usual care on myocardial infarction, stroke, and healthcare costs. Data from the 2019 Behavioral Risk Factor Surveillance System and the published literature were used to estimate model parameters. The averted cases of myocardial infarction and stroke and healthcare cost savings were estimated among the U.S. adult population with hypertension and in subpopulations defined by sex, race, ethnicity, and rural/urban area. The simulation analyses were conducted between February and August 2022.

resultsCompared with usual care, adopting home blood pressure monitoring was estimated to reduce myocardial infarction cases by 4.9% and stroke cases by 3.8% as well as saving an average of $7,794 in healthcare costs per person over 20 years. Non-Hispanic Blacks, women, and rural residents had more averted cardiovascular events and greater cost savings related to adopting home blood pressure monitoring compared with non-Hispanic Whites, men, and urban residents.

conclusionsHome blood pressure monitoring could substantially reduce the burden of cardiovascular disease and save healthcare costs in the long term, and the benefits could be more pronounced in racial and ethnic minority groups and those living in rural areas. These findings have important implications in expanding home blood pressure monitoring for improving population health and reducing health disparities.

Indexed as

HypertensionMyocardial InfarctionStrokeAdultBlood PressureBlood Pressure Monitoring, AmbulatoryEthnicityFemaleHumansMaleMinority Groups

Identifiers

PMID37187442
PMCPMC10592599
OpenAlexW4376287720

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.