The economic burden of ischaemic heart diseases on health systems: a systematic review.

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Tác giả: Rifat Atun, Caroline Bulstra, Sagar Grewal, Che L Reddy, Thanitsara Rittiphairoj, Chochat Ruampatana, Maria Stavridou

Ngôn ngữ: eng

Ký hiệu phân loại: 616.12 Diseases of heart

Thông tin xuất bản: England : BMJ global health , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 73062

INTRODUCTION: There is a dearth of evidence regarding the global economic burden of ischaemic heart diseases (IHDs). This systematic review aims to synthesise national-level studies worldwide quantifying the economic burden of IHDs from a provider's perspective. METHODS: We searched PubMed, Embase, Cochrane, DARE and EconLit databases from 1 January 2000 to 29 June 2022. We included observational, cost-of-illness and economic modelling studies reporting direct healthcare cost data for IHDs at the national level. At least two reviewers independently screened titles and abstracts and full texts, extracted data and assessed quality using a seven-question assessment tool. We synthesised findings by country, focusing on three key economic estimates: total annual costs of IHDs, costs of managing acute IHD episodes and chronic IHD care. We correlated these costs with country-specific macroeconomic measures and disease burden. RESULTS: We included 65 national-level studies conducted in 21 countries worldwide, with a majority in high-income countries. The median direct healthcare cost per episode of IHDs was 8062 Int2019 (IQR: 5770-9580), and the median direct healthcare cost of IHDs per patient-year was 10 064 Int2019 (IQR: 7619-14 818). These estimates positively correlated with country-specific macroeconomic and DALY measures. CONCLUSION: IHDs impose a substantial economic burden on health systems globally. Economic costs in countries exceed per capita public health expenditure, primarily driven by acute episodes. National-level data were available for only 21 countries, and none from low-middle-income and low-income countries. Economic costs of IHDs need to be quantified to inform resource allocation decisions at national and global levels.CRD42022337577.
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