Abstract 4142835: Remote Patient Monitoring and Excess Readmission Rates for Cardiovascular Conditions at Hospitals in the United States

Background: Heart failure (HF) and acute myocardial infarction (AMI) have been a key focus of health policy initiatives targeting hospital readmission risk, but after initial improvements, progress has slowed. Digital remote patient monitoring (RPM) tools have been recognized as potential strategies for enabling better patient outcomes by tracking healthcare outside clinical settings. We evaluated patterns of RPM service use at US hospitals and their association with post-discharge outcomes for HF and AMI. Methods: We used the 2022 American Hospital Association (AHA) Annual Survey data to identify US hospitals offering RPM services and the nature of these services (post-discharge, chronic care, others), overall and across different hospital groups (based on bed size, location, ownership, teaching status, and region). We linked these with hospitals’ benchmarked risk-standardized relative performance on readmissions (excess readmission ratio [ERR]) from CMS Hospital Quality Report (2019-2022) to examine the association between RPM services at hospitals and lower than expected HF and AMI readmission rates (ERR<1), accounting for hospital characteristics in multivariable logistic regression. Results: The study included 2,255 hospitals in the AHA Survey with paired readmission performance data. Of these, 55.7% offered RPM services: 41.7% for monitoring post-discharge care, 47.4% for chronic care management, and 40.2% for other RPM services. RPM service availability was highest at hospitals with bedsize ≥500 (81.1%) and those in the Northeast (73.6%). RPM services were also more frequently available at urban vs rural (57.5% vs 29.7%) and teaching vs non-teaching (86.4% vs 52.5%) hospitals (A) . Hospitals with RPM services compared with those without RPM services were more likely to have an ERR<1 for HF (OR 1.24, 95% CI 1.03-1.49) but not for AMI (OR 1.20, 95% CI 0.95-1.51). However, availability of RPM services targeted explicitly at post-hospitalization monitoring was associated with greater likelihood of having an ERR<1 for both HF (OR 1.33 95% CI 1.10-1.60) and AMI (OR 1.29, 95% CI 1.02-1.62) (B) . Conclusions: Large, urban, and teaching hospitals more frequently invested in RPM services, which was associated with lower-than-expected readmission rates for HF and AMI, especially when RPM specifically targeted post-discharge care. There is a need to rigorously evaluate the nature of services that enable the best post-discharge outcomes for each condition.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4142835
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4142835: Remote Patient Monitoring and Excess Readmission Rates for Cardiovascular Conditions at Hospitals in the United States

Rohan Khera, Joseph S. Ross, Zhenqiu Lin, Aline Pedroso Camargos
Circulation
Non-Invasive Vital Sign Monitoring
article

Abstract 4142835: Remote Patient Monitoring and Excess Readmission Rates for Cardiovascular Conditions at Hospitals in the United States

Rohan Khera, Joseph S. Ross, Zhenqiu Lin, Aline Pedroso Camargos
article en

Abstract

Background: Heart failure (HF) and acute myocardial infarction (AMI) have been a key focus of health policy initiatives targeting hospital readmission risk, but after initial improvements, progress has slowed. Digital remote patient monitoring (RPM) tools have been recognized as potential strategies for enabling better patient outcomes by tracking healthcare outside clinical settings. We evaluated patterns of RPM service use at US hospitals and their association with post-discharge outcomes for HF and AMI. Methods: We used the 2022 American Hospital Association (AHA) Annual Survey data to identify US hospitals offering RPM services and the nature of these services (post-discharge, chronic care, others), overall and across different hospital groups (based on bed size, location, ownership, teaching status, and region). We linked these with hospitals’ benchmarked risk-standardized relative performance on readmissions (excess readmission ratio [ERR]) from CMS Hospital Quality Report (2019-2022) to examine the association between RPM services at hospitals and lower than expected HF and AMI readmission rates (ERR<1), accounting for hospital characteristics in multivariable logistic regression. Results: The study included 2,255 hospitals in the AHA Survey with paired readmission performance data. Of these, 55.7% offered RPM services: 41.7% for monitoring post-discharge care, 47.4% for chronic care management, and 40.2% for other RPM services. RPM service availability was highest at hospitals with bedsize ≥500 (81.1%) and those in the Northeast (73.6%). RPM services were also more frequently available at urban vs rural (57.5% vs 29.7%) and teaching vs non-teaching (86.4% vs 52.5%) hospitals (A) . Hospitals with RPM services compared with those without RPM services were more likely to have an ERR<1 for HF (OR 1.24, 95% CI 1.03-1.49) but not for AMI (OR 1.20, 95% CI 0.95-1.51). However, availability of RPM services targeted explicitly at post-hospitalization monitoring was associated with greater likelihood of having an ERR<1 for both HF (OR 1.33 95% CI 1.10-1.60) and AMI (OR 1.29, 95% CI 1.02-1.62) (B) . Conclusions: Large, urban, and teaching hospitals more frequently invested in RPM services, which was associated with lower-than-expected readmission rates for HF and AMI, especially when RPM specifically targeted post-discharge care. There is a need to rigorously evaluate the nature of services that enable the best post-discharge outcomes for each condition.

CirculationVol. 150(Suppl_1)
Yale University (US)
Openalex Percentile: Top 81%
Non-Invasive Vital Sign Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.