{"title":"一般泰国样本中12项简短健康调查第2版的心理测量特性：Rasch分析。","authors":"Krittaphas Kangwanrattanakul","doi":"10.1080/20523211.2025.2551224","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Although the 12-item Short Form Health Survey version 2 (SF-12v2) is suitable for measuring health status in the general Thai population, it has been evaluated using classical test theory. Rasch analysis, however, offers a psychometric testing method that converts ordinal scales to interval-level data without breaching parametric assumptions. Thus, this study aimed to assess the measurement properties of Thai SF-12v2 and SF-6D items derived from it among the general Thai population.</p><p><strong>Methods: </strong>Rasch analysis was performed on 300 participants randomly selected from a pool of 1200 general Thai population. The initial SF-12v2 items, physical component summary (PCS), mental component summary (MCS), and SF-6D items were evaluated for overall fit to the Rasch model using the Chi-square test and several key elements of Rasch measurement properties, including unidimensionality, reliability (internal consistency), local independence, ordering thresholds, targeting, and item invariance (differential item functioning [DIF]).</p><p><strong>Results: </strong>The two-domain subtests of the SF-12v2 showed an acceptable fit to the Rasch model (χ<sup>2</sup>[12] = 20.16, <i>p</i> = 0.06), unidimensionality, satisfactory reliability (PSI = 0.72), local independence, and no significant DIF. Although five items initially misfitted the Rasch model, these issues were resolved in the subtest analysis. Individual PCS and MCS were not recommended for measuring health status due to inadequate reliability. The SF-6D items demonstrated a good overall model fit (χ<sup>2</sup>[20] = 23.18, <i>p</i> = 0.28), unidimensionality, local independence, and good internal consistency (PSI = 0.73). However, all scales showed poor targeting for the person-item threshold distribution.</p><p><strong>Conclusions: </strong>Rasch analysis supports the use of two-domain subtests of the SF-12v2 questionnaire for between-group analysis in the general Thai population. However, it does not support the use of individual PCS and MCS due to poor reliability. The SF-6D, achieving satisfactory reliability, was endorsed for eliciting utility scores for between-group analysis.</p>","PeriodicalId":16740,"journal":{"name":"Journal of Pharmaceutical Policy and Practice","volume":"18 1","pages":"2551224"},"PeriodicalIF":2.5000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12416011/pdf/","citationCount":"0","resultStr":"{\"title\":\"Psychometric properties of the 12-item short form health survey version 2 among general Thai samples: a Rasch analysis.\",\"authors\":\"Krittaphas Kangwanrattanakul\",\"doi\":\"10.1080/20523211.2025.2551224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Although the 12-item Short Form Health Survey version 2 (SF-12v2) is suitable for measuring health status in the general Thai population, it has been evaluated using classical test theory. Rasch analysis, however, offers a psychometric testing method that converts ordinal scales to interval-level data without breaching parametric assumptions. Thus, this study aimed to assess the measurement properties of Thai SF-12v2 and SF-6D items derived from it among the general Thai population.</p><p><strong>Methods: </strong>Rasch analysis was performed on 300 participants randomly selected from a pool of 1200 general Thai population. The initial SF-12v2 items, physical component summary (PCS), mental component summary (MCS), and SF-6D items were evaluated for overall fit to the Rasch model using the Chi-square test and several key elements of Rasch measurement properties, including unidimensionality, reliability (internal consistency), local independence, ordering thresholds, targeting, and item invariance (differential item functioning [DIF]).</p><p><strong>Results: </strong>The two-domain subtests of the SF-12v2 showed an acceptable fit to the Rasch model (χ<sup>2</sup>[12] = 20.16, <i>p</i> = 0.06), unidimensionality, satisfactory reliability (PSI = 0.72), local independence, and no significant DIF. Although five items initially misfitted the Rasch model, these issues were resolved in the subtest analysis. Individual PCS and MCS were not recommended for measuring health status due to inadequate reliability. The SF-6D items demonstrated a good overall model fit (χ<sup>2</sup>[20] = 23.18, <i>p</i> = 0.28), unidimensionality, local independence, and good internal consistency (PSI = 0.73). However, all scales showed poor targeting for the person-item threshold distribution.</p><p><strong>Conclusions: </strong>Rasch analysis supports the use of two-domain subtests of the SF-12v2 questionnaire for between-group analysis in the general Thai population. However, it does not support the use of individual PCS and MCS due to poor reliability. The SF-6D, achieving satisfactory reliability, was endorsed for eliciting utility scores for between-group analysis.</p>\",\"PeriodicalId\":16740,\"journal\":{\"name\":\"Journal of Pharmaceutical Policy and Practice\",\"volume\":\"18 1\",\"pages\":\"2551224\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12416011/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Pharmaceutical Policy and Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/20523211.2025.2551224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH POLICY & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Pharmaceutical Policy and Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/20523211.2025.2551224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0
摘要
背景：虽然12项健康调查简表第2版（SF-12v2）适用于测量泰国普通人群的健康状况，但它已使用经典测试理论进行评估。然而，Rasch分析提供了一种心理测量测试方法，将有序量表转换为区间水平数据，而不违反参数假设。因此，本研究旨在评估泰国SF-12v2和由此衍生的SF-6D项目在泰国普通人群中的测量特性。方法：从1200名泰国普通人群中随机抽取300名参与者进行Rasch分析。使用卡方检验和Rasch测量属性的几个关键要素，包括单维性、可靠性（内部一致性）、局部独立性、排序阈值、目标性和项目不变性（差异项目功能[DIF]），评估初始SF-12v2项目、物理成分摘要（PCS）、心理成分摘要（MCS）和SF-6D项目与Rasch模型的总体拟合。结果：SF-12v2的双域子检验与Rasch模型的拟合良好（χ2[12] = 20.16, p = 0.06），单维性良好，信度满意（PSI = 0.72），局部独立性良好，无显著的DIF。虽然最初有五个项目不符合Rasch模型，但这些问题在子测试分析中得到了解决。由于可靠性不足，不建议使用单个PCS和MCS来测量健康状态。SF-6D项目具有良好的整体模型拟合（χ2[20] = 23.18, p = 0.28）、单维性、局部独立性和良好的内部一致性（PSI = 0.73）。然而，所有量表对人-物阈值分布的针对性都很差。结论：Rasch分析支持在泰国一般人群中使用SF-12v2问卷的双域子检验进行组间分析。但由于可靠性差，不支持单独使用PCS和MCS。SF-6D获得了令人满意的信度，被认可用于组间分析的效用评分。
Psychometric properties of the 12-item short form health survey version 2 among general Thai samples: a Rasch analysis.
Background: Although the 12-item Short Form Health Survey version 2 (SF-12v2) is suitable for measuring health status in the general Thai population, it has been evaluated using classical test theory. Rasch analysis, however, offers a psychometric testing method that converts ordinal scales to interval-level data without breaching parametric assumptions. Thus, this study aimed to assess the measurement properties of Thai SF-12v2 and SF-6D items derived from it among the general Thai population.
Methods: Rasch analysis was performed on 300 participants randomly selected from a pool of 1200 general Thai population. The initial SF-12v2 items, physical component summary (PCS), mental component summary (MCS), and SF-6D items were evaluated for overall fit to the Rasch model using the Chi-square test and several key elements of Rasch measurement properties, including unidimensionality, reliability (internal consistency), local independence, ordering thresholds, targeting, and item invariance (differential item functioning [DIF]).
Results: The two-domain subtests of the SF-12v2 showed an acceptable fit to the Rasch model (χ2[12] = 20.16, p = 0.06), unidimensionality, satisfactory reliability (PSI = 0.72), local independence, and no significant DIF. Although five items initially misfitted the Rasch model, these issues were resolved in the subtest analysis. Individual PCS and MCS were not recommended for measuring health status due to inadequate reliability. The SF-6D items demonstrated a good overall model fit (χ2[20] = 23.18, p = 0.28), unidimensionality, local independence, and good internal consistency (PSI = 0.73). However, all scales showed poor targeting for the person-item threshold distribution.
Conclusions: Rasch analysis supports the use of two-domain subtests of the SF-12v2 questionnaire for between-group analysis in the general Thai population. However, it does not support the use of individual PCS and MCS due to poor reliability. The SF-6D, achieving satisfactory reliability, was endorsed for eliciting utility scores for between-group analysis.
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