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Cost-effectiveness of three screening strategies for atrial fibrillation in Sri Lanka: a decision-tree modelling analysis using community-based prevalence data

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dc.contributor.author Shribavan, K.
dc.contributor.author Zainab, A.
dc.contributor.author Tiffany, E.G.
dc.contributor.author Sheron Antony, V.
dc.contributor.author Powsiga, U.
dc.contributor.author Chamira, K.
dc.contributor.author Balachandran, K.
dc.contributor.author Neil, T.
dc.contributor.author Krishnarajah, N.
dc.contributor.author Gregory, Y.H.L.
dc.contributor.author Mahesan, G.
dc.contributor.author Haniffa, R.
dc.contributor.author Rajendra, S.
dc.contributor.author Abi, B.
dc.contributor.author Kumaran, S.
dc.contributor.author Sue, J.
dc.date.accessioned 2026-05-11T06:41:34Z
dc.date.available 2026-05-11T06:41:34Z
dc.date.issued 2026
dc.identifier.uri http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/12642
dc.description.abstract Introduction Early diagnosis and treatment of atrial fibrillation (AF) are crucial to reduce AF-related complications and associated healthcare costs. In low-resource settings, digital health technologies could help achieve this; however, costs of different screening strategies are key for policy change. Methods This decision-tree model representing the Sri Lankan public health system perspective used prevalence data from a community-based cross-sectional study of 10 000 individuals aged ≥50 years in Northern Province, Sri Lanka. Participants were screened for AF using AliveCor, a handheld single-lead ECG device. Three screening strategies (systematic, opportunistic and targeted) were compared against each other. The incremental cost-effectiveness ratio (ICER) is presented, representing the incremental total aggregated cost between screening strategies divided by the incremental number of new detected AF cases to generate a cost per additional new AF cases detected for a 1-year time horizon. Results Systematic screening detected 48 new AF cases, and the targeted screening detected 47. Systematic screening was more expensive (Sri Lankan rupees (Rs) 698 422; US$2123) for 10 000 screened individuals compared with targeted screening (Rs 492 002; US$1496) for 7780 screened individuals. Opportunistic screening was the cheapest strategy (Rs 360 617; US$1096) for screening 6556 individuals; however, only 30 new AF cases were identified. The ICER of targeted screening was lower compared with opportunistic screening (Rs 7729; US$23 per additional detected AF case) whereas the ICER of systematic screening compared with opportunistic screening was higher at Rs 18 767 (US$57) per detected AF case. When the systematic screening strategy was compared with targeted screening, the cost per additional detected AF case increased to Rs 206 420 ($628). Conclusion Targeted screening with AliveCor was the most cost-effective strategy. Systematic screening, while having similar effectiveness, was not cost-effective due to the high additional costs to detect just one further case. These findings support integrating targeted screening into Sri Lanka’s primary care pathways. en_US
dc.language.iso en en_US
dc.publisher BMJ Global Health en_US
dc.title Cost-effectiveness of three screening strategies for atrial fibrillation in Sri Lanka: a decision-tree modelling analysis using community-based prevalence data en_US
dc.type Article en_US


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