Sidney Hilker , Vishwanath Koppad , Lokesh MB , Carl Britto , Ryan CL Brewster
{"title":"Enhancing in-hospital cardiac arrest outcomes through the Tele-ICU Model: A novel approach to CPR quality improvement in India","authors":"Sidney Hilker , Vishwanath Koppad , Lokesh MB , Carl Britto , Ryan CL Brewster","doi":"10.1016/j.hlpt.2025.101062","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>In-hospital cardiac arrest is a substantial cause of morbidity and mortality in low- and middle-income countries. Telemedicine intensive care units (Tele-ICUs) may expand critical care capacity, however their impact on cardiac arrest management and outcomes has not been well-defined.</div></div><div><h3>Methods</h3><div>A tele-ICU network established in India provides 24/7 multidisciplinary monitoring and management via real-time audiovisual technology. Between September 2022-November 2023, six partner hospitals underwent tele-ICU implementation and participated in a spaced advanced cardiac life support (ACLS) curriculum, tailored to tele-ICU workflows. The study period spanned from three months prior to the bedside ACLS training (“pre-intervention”) to six months following completion (“post-intervention”). The impact of the intervention on return of spontaneous circulation (ROSC) rates and overall hospital mortality was assessed with multivariable logistic regression and interrupted time series analysis.</div></div><div><h3>Results</h3><div>Among a total of 163 cardiac arrest events (<em>n</em> = 52 pre-intervention, <em>n</em> = 111 pre-intervention), most took place within 5 days of ICU admission (83.4 %) and asystole (61.3 %) was the most common precipitating rhythm. Tele-ICU sites achieved significantly greater ROSC rates during the post-intervention (38.7 %) versus the pre-intervention (19.2 %) periods (adjusted odds ratio [aOR] 3.65 [95 % confidence interval [CI] 1.40–9.53]). This corresponded with an immediate 16.1 % (95 % CI 0.7 %-31.5 %) level increase without a significant trend change (-0.10 % [-0.97 %-0.77 %]). Overall hospital survival remained similar (4.5 % vs. 3.8 %; aOR 0.69 [95 % CI 0.08–5.72]) between study periods.</div></div><div><h3>Conclusions</h3><div>Tele-ICU implementation coupled with targeted ACLS training was associated with improvements in immediate in-hospital cardiac arrest outcomes, highlighting the potential of low-cost, technology-enabled care delivery models to optimize resuscitation performance in LMICs.</div></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"14 5","pages":"Article 101062"},"PeriodicalIF":3.4000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Policy and Technology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211883725000905","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction
In-hospital cardiac arrest is a substantial cause of morbidity and mortality in low- and middle-income countries. Telemedicine intensive care units (Tele-ICUs) may expand critical care capacity, however their impact on cardiac arrest management and outcomes has not been well-defined.
Methods
A tele-ICU network established in India provides 24/7 multidisciplinary monitoring and management via real-time audiovisual technology. Between September 2022-November 2023, six partner hospitals underwent tele-ICU implementation and participated in a spaced advanced cardiac life support (ACLS) curriculum, tailored to tele-ICU workflows. The study period spanned from three months prior to the bedside ACLS training (“pre-intervention”) to six months following completion (“post-intervention”). The impact of the intervention on return of spontaneous circulation (ROSC) rates and overall hospital mortality was assessed with multivariable logistic regression and interrupted time series analysis.
Results
Among a total of 163 cardiac arrest events (n = 52 pre-intervention, n = 111 pre-intervention), most took place within 5 days of ICU admission (83.4 %) and asystole (61.3 %) was the most common precipitating rhythm. Tele-ICU sites achieved significantly greater ROSC rates during the post-intervention (38.7 %) versus the pre-intervention (19.2 %) periods (adjusted odds ratio [aOR] 3.65 [95 % confidence interval [CI] 1.40–9.53]). This corresponded with an immediate 16.1 % (95 % CI 0.7 %-31.5 %) level increase without a significant trend change (-0.10 % [-0.97 %-0.77 %]). Overall hospital survival remained similar (4.5 % vs. 3.8 %; aOR 0.69 [95 % CI 0.08–5.72]) between study periods.
Conclusions
Tele-ICU implementation coupled with targeted ACLS training was associated with improvements in immediate in-hospital cardiac arrest outcomes, highlighting the potential of low-cost, technology-enabled care delivery models to optimize resuscitation performance in LMICs.
期刊介绍:
Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments.
HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology.
Topics covered by HPT will include:
- Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems
- Cross-national comparisons on health policy using evidence-based approaches
- National studies on health policy to determine the outcomes of technology-driven initiatives
- Cross-border eHealth including health tourism
- The digital divide in mobility, access and affordability of healthcare
- Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies
- Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies
- Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making
- Stakeholder engagement with health technologies (clinical and patient/citizen buy-in)
- Regulation and health economics