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The state of cost-utility analysis in India: A systematic review

1 Health Economics and Outcomes Research, Skyward Analytics Private Limited, Gurgaon, Haryana, India
2 Health Economics and Outcomes Research, Skyward Analytics Private Limited, Gurgaon, Haryana, India; Health Economics and Outcomes Research, Skyward Analytics Pte. Limited Singapore, Singapore

Correspondence Address:
Hemant Rathi,
Skyward Analytics Private Limited, Level 18, DLF Cyber City, Building No. 5, Tower A, Gurgaon - 122 002, Haryana

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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/picr.PICR_256_20

Aims: Cost-utility studies are crucial tools that help policy-makers promote appropriate resource allocation. The objective of this study was to evaluate the extent and quality of cost-utility analysis (CUA) in India through a systematic literature review. Methods: Comprehensive database search was conducted to identify the relevant literature published from November 2009 to November 2019. Gray literature and hand searches were also performed. Two researchers independently reviewed and assessed study quality using Consolidated Health Economic Evaluation Reporting Standards checklist. Results: Thirty-five studies were included in the final review. Thirteen studies used Markov model, five used decision tree model, four used a combination of decision tree and Markov model and one each used microsimulation and dynamic compartmental model. The primary therapeutic areas targeted in CUA were infectious diseases (n = 12), ophthalmology (n = 5), and endocrine disorders (n = 4). Five studies were carried out in Tamil Nadu, four in Goa, three in Punjab, two each in Delhi, Maharashtra, and Uttar Pradesh, and one each in West Bengal and Karnataka. Twenty-three, eight, and four studies were found to be of excellent, very good, and good quality, respectively. The average quality score of the studies was 19.21 out of 24. Conclusions: This systematic literature review identified the published CUA studies in India. The overall quality of the included studies was good; however, features such as subgroup analyses and explicit study perspective were missing in several evaluations.

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