Evidence map›Paper›PMID 35790553›Full record

ArticleCalcified tissue international2022

The Potential Economic Benefits of an Alarm Service in Order Communication Systems in Korea: a Cost-Effectiveness Analysis of Less-Intensive Fracture Liaison Services Based on a Prospective Cohort Study.

Suhyun Jang, Young-Kyun Lee, Yong-Chan Ha, Sunmee Jang

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Article in Calcified tissue international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Suhyun JangCollege of Pharmacy and Gachon Institute of Pharmaceutical Sciences, Gachon University, 191 Hambakmoe-Ro, Yeonsu-Gu, Incheon, 21936, Republic of Korea.
Young-Kyun LeeDepartment of Orthopedic Surgery, College of Medicine, Seoul National University Bundang Hospital, Seoul National University, Seongnam, Republic of Korea.
Yong-Chan HaDepartment of Orthopedic Surgery, BUMIN Hospital, 389 Gonghang-daero, Gangseo-gu, Seoul, 07590, Republic of Korea. hayongch@naver.com.
Sunmee JangCollege of Pharmacy and Gachon Institute of Pharmaceutical Sciences, Gachon University, 191 Hambakmoe-Ro, Yeonsu-Gu, Incheon, 21936, Republic of Korea. smjang@gachon.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An alarm service in an order communication system (OCS) was found to be effective at increasing the rate of dual-energy X-ray absorptiometry (DXA) testing and treatment in South Korea, but its cost-effectiveness remains unknown. We used a Markov model to determine the cost-effectiveness of the alarm service in the OCS compared to no alarm service for the post-fracture management of subjects aged 50 years and older with fragility fractures. DXA testing and treatment data were collected from a prospective cohort study. The prevalence of osteoporotic fractures, the subsequent risk of hip fracture, and healthcare costs were obtained using Korea National Health Insurance claims data. The lifetime cost and quality-adjusted life-years (QALYs) gained were estimated from a healthcare perspective. A probabilistic sensitivity analysis was performed to examine the uncertainty of the results. The alarm service increased treatment by 125 per 1000 patients and prevented 3 hip fractures per 1000 patients. The alarm service cost an additional 249,393 KRW and resulted in an increase of 0.008 QALYs per patient compared to no alarm service. The incremental cost-effectiveness ratio was 31,174,125 KRW (26,843 USD) per QALY gained. The alarm service was cost-effective than no alarm service if the willingness to pay setting as 1GDP per capita (29,288 USD) per QALY gained. This study shows that less-intensive fracture liaison services, such as an alarm service, are cost-effective for patients aged 50 years and older with osteoporotic fractures in Korea. An intensive model, including enhanced identification and education, could further prevent the risk of refracture and improve cost-effectiveness.

Indexed as

Hip FracturesOsteoporotic FracturesAgedCommunicationCost-Benefit AnalysisHumansMiddle AgedProspective StudiesRepublic of KoreaAlarm serviceCost-effectivenessLess-intensive fracture liaison serviceOrder communication systemPost-fracture managementSouth Korea

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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.