Evidence map›Paper›PMID 39484237›Full record

ArticlemedRxiv : the preprint server for health sciences2025

National Patterns of Remote Patient Monitoring Service Availability at US Hospitals.

Aline F Pedroso, Zhenqiu Lin, Joseph S Ross, Rohan Khera

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

4 authors.

Aline F PedrosoSection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Zhenqiu LinSection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Joseph S RossSection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-9218-3320
Rohan KheraSection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0001-9467-6199

Funding

Understanding hospital value: provider, hospital and community effectsR01HS022882 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HORWITZ, LEORA · 2014 to 2023
$2.9M
Deep learning enhanced detection and personalized monitoring of aortic stenosis - The DETECT-AS StudyR01AG089981 · NIA · YALE UNIVERSITY · PI Rohan Khera · 2024 to 2026
$2.4M
Translating Personalized Inference from Randomized Clinical Trials to Real-World Cardiovascular CareR01HL167858 · NHLBI · YALE UNIVERSITY · PI Rohan Khera · 2024 to 2026
$2.3M
Evaluating and Improving Utilization of Evidence-Based Medical Therapy in Patients with Heart Failure using Automated Tools in the Electronic Health RecordK23HL153775 · NHLBI · YALE UNIVERSITY · PI KHERA, ROHAN · 2021 to 2025
$918k
AHRQ HHS R01 HS022882NHLBI NIH HHS K23 HL153775NHLBI NIH HHS R01 HL167858NIA NIH HHS R01 AG089981
6 · The paper itself

Abstract

Background: Digital remote patient monitoring (RPM) enables longitudinal care outside traditional healthcare settings, especially in the vulnerable period after hospitalizations, with broad coverage of the service by payers. We sought to evaluate patterns of RPM service availability at US hospitals and the characteristics of hospitals and the communities they serve that are associated with the availability of these services. Methods: We used contemporary national data from the American Hospital Association (AHA) Annual Survey to ascertain US hospitals offering RPM services for post-discharge or chronic care. We linked hospitals with their census-based county-level data to define the characteristics of the communities they serve and examined the association of these characteristics with RPM availability. We also conducted an exploratory analysis quantifying the number of patients with key cardiovascular conditions of heart failure (HF) and acute myocardial infarction (AMI) receiving care at hospitals providing RPM services. Results: The study included 5,644 hospitals. Over five years of study, there was a 40.3% increase in the number of hospitals offering RPM services, rising from 1,364 (33.0%) hospitals in 2018 to 1,797 (46.3%) in 2022. However, the availability of RPM services varied across different hospital groups, with smaller, non-teaching, rural, and hospitals serving low-income communities, particularly in the South, being less likely to offer RPM. Hospitals with more than 300 beds had 3.7-fold odds of offering RPM compared with those with less than 100 beds (aOR 3.71, 95% CI 2.90-4.74). Non-teaching hospitals had a 70% lower likelihood of RPM availability (aOR 0.29, 95% CI 0.19-0.44), and rural hospitals had 50% lower odds compared with urban hospitals (aOR 0.49, 95% CI 0.32-0.77). Conclusions: In this national study of US hospitals, there has been a large increase in the availability of RPM services but with large variation among hospitals, with lower availability in hospitals serving low-income and rural communities.

Identifiers

PMID39484237
PMCPMC11527086

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.