Evidence map›Paper›PMID 41268050›Full record

ArticleClinicoEconomics and outcomes research : CEOR2025

Cost-Effectiveness Analysis of Different Prenatal Screening Strategies for the Prevention of Severe Thalassemia in Thailand.

Kwandao Malasai, Jiraphun Jittikoon, Pattarawalai Talungchit, Sitaporn Youngkong, Wanvisa Udomsinprasert, Usa Chaikledkaew

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Article in ClinicoEconomics and outcomes research : CEOR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kwandao MalasaiSocial, Economic and Administrative Pharmacy Graduate Program, Faculty of Pharmacy, Mahidol University, Bangkok, Thailand.
Jiraphun JittikoonDepartment of Biochemistry, Faculty of Pharmacy, Mahidol University, Bangkok, Thailand.
Pattarawalai TalungchitDepartment of Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID 0000-0002-3668-8754
Sitaporn YoungkongMahidol University Health Technology Assessment Graduate Program, Mahidol University, Bangkok, Thailand.
Wanvisa UdomsinprasertDepartment of Biochemistry, Faculty of Pharmacy, Mahidol University, Bangkok, Thailand.
Usa ChaikledkaewMahidol University Health Technology Assessment Graduate Program, Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Three prenatal screening protocols are currently used in Thailand to prevent severe thalassemia in newborns; however, economic evaluation data to guide the selection of the most cost-effective strategy remain limited. This study aimed to conduct the cost-effectiveness of these screening strategies to support policy and clinical decision-making. Patients and Methods: A decision-tree model was employed to evaluate the costs and outcomes associated with three prenatal screening algorithms: 1) a protocol starting with mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), and the dichlorophenol indophenol precipitation (DCIP) test for pregnancies; 2) a protocol starting with MCV/MCH and hemoglobin (Hb) typing for pregnancies; and 3) a protocol starting with MCV/MCH and DCIP testing for couples based on a societal perspective. Results were presented as incremental cost-effectiveness ratios (ICERs) to compare the three prenatal screening strategies. Both one-way and probabilistic sensitivity analyses were performed to account for uncertainties in the parameters used. Results: From a societal perspective, Strategies 2 and 3 were found to be cost-effective compared to Strategy 1. Screening 10,000 couples under Strategies 2 and 3 could prevent 60 and 49 additional cases of severe thalassemia, respectively, compared to Strategy 1. The ICERs for Strategies 2 and 3 were approximately 141,863 Baht (4,023 United States Dollar, USD) and 97,996 Baht (2,779 USD) per severe thalassemia case prevented, respectively. The most sensitive parameter for comparing Strategy 2 with Strategy 1 was the specificity of prenatal diagnosis for α-thalassemia. Conclusion: Strategy 3 is the most cost-effective approach in Thailand. However, Strategy 2 may be implemented in hospitals with the capacity to perform Hb typing. These results offer significant value to policymakers by presenting strong evidence that could inform adjustments to the reimbursement framework in Thailand's Universal Health Coverage benefit package, ultimately enhancing thalassemia management and prenatal care.

Indexed as

cost-effectivenessprenatal screeningsevere thalassemiaThailand

Identifiers

PMID41268050
PMCPMC12628729

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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.