Observational studyPloS one
Cost analysis of treating cardiovascular diseases in a super-specialty hospital.
Observational study in PloS one. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 69 citations in OpenAlex.
- Comparative analysis of burden of topmost disorders requiring rehabilitation services: a systematic review and meta-analysis.Journal of translational medicine · 2025Pooled it
- Is it possible to automate the discovery of process maps for the time-driven activity-based costing method? A systematic review.BMC health services research · 2023Pooled it
- Financial Toxicity and Its Determinants in Cardiovascular Diseases: A Systematic Review and Bayesian Meta-Analysis.Inquiry : a journal of medical care organization, provision and financingPooled it
- Multicenter, randomized controlled study evaluating percutaneous and non-fluoroscopic procedure of atrial septal defects-study protocol of the PANASD randomized controlled trial.American heart journal plus : cardiology research and practice · 2026Article
- Determining the Global Economic Burden of External Health Effects of Food Consumption in 204 Countries and Territories.Nutrients · 2026Article
- Cost of diabetes and hypertension services delivered in primary and secondary-level government facilities in Punjab, India.BMC health services research · 2026Article
- Development and usability evaluation of HOPE: A patient-centered mHealth application for HTN self-management in Iran.PloS one · 2026Article
- Risk prediction for cardiovascular related diseases using PRS and EHR in the Framingham Heart Study.PloS one · 2026Article
- Predictive value of anthropometric indices for incident of dyslipidemia: a large population-based study.Population health metrics · 2025Article
- Comparison of mortality trends in patients with rheumatic mitral valve disease and nonrheumatic mitral valve disease: A retrospective study in US from 1999 to 2020.International journal of cardiology. Heart & vasculature · 2025Article
- Unveiling Cardiovascular Risk Among Older Adults in Eastern India: A Community-Based Cross-Sectional Study.Cureus · 2025Article
- Evaluation of reporting in time-driven activity-based costing studies on cardiovascular diseases: a scoping review.Journal of comparative effectiveness research · 2025Article
- An efficient artificial neural network-based optimization techniques for the early prediction of coronary heart disease: comprehensive analysis.Scientific reports · 2025Article
- Optimizing costs and sustainability for gamma knife radiosurgery: A cost and breakeven analysis at India's largest neurosurgery centre.PloS one · 2025Article
- Article
- Article
- Evaluating the long-term cost-effectiveness of the COBRA-BPS programme in Pakistan.BMJ public health · 2025Article
- Predictive properties of novel anthropometric and biochemical indexes for prediction of cardiovascular risk.Diabetology & metabolic syndrome · 2024Article
- Review
- Management of Heart Failure in a Resource-Limited Setting: Expert Opinion from India.Cardiology and therapy · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular care is expensive; hence, economic evaluation is required to estimate resources being consumed and to ensure their optimal utilization. There is dearth of data regarding cost analysis of treating various diseases including cardiac diseases from developing countries. The study aimed to analyze resource consumption in treating cardio-vascular disease patients in a super-specialty hospital. An observational and descriptive study was carried out from April 2017 to June 2018 in the Department of Cardiology, Cardio-Thoracic (CT) Centre of All India Institute of Medical Sciences, New Delhi, India. As per World Health Organization, common cardiovascular diseases i.e. Coronary Artery Disease (CAD), Rheumatic Heart Disease (RHD), Cardiomyopathy, Congenital heart diseases, Cardiac Arrhythmias etc. were considered for cost analysis. Medical records of 100 admitted patients (Ward & Cardiac Care Unit) of cardiovascular diseases were studied till discharge and number of patient records for a particular CVD was identified using prevalence-based ratio of admitted CVD patient data. Traditional Costing and Time Driven Activity Based Costing (TDABC) methods were used for cost computation. Per bed per day cost incurred by the hospital for admitted patients in Cardiac Care Unit, adult and pediatric cardiology ward was calculated to be Indian Rupee (INR) 28,144 (US$ 434), INR 22,210 (US$ 342) and INR 18,774 (US$ 289), respectively. Inpatient cost constituted almost 70% of the total cost and equipment cost accounted for more than 50% of the inpatient cost followed by human resource cost (28%). Per patient cost of treating any CVD was computed to be INR 2,47,822 (US $ 3842). Cost of treating Rheumatic Heart Disease was the highest among all CVDs followed by Cardiomyopathy and other CVDs. Cost of treating cardiovascular diseases in India is less than what has been reported in developed countries. Findings of this study would aid policy makers considering recent radical changes and massive policy reforms ushered in by the Government of India in healthcare delivery.
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Registered trials
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.