{"title":"Improved Items for Estimating SF-36 Profile and Summary Component Scores: Construction and Validation of an 8-item QOL General (QGEN) Survey.","authors":"John E Ware","doi":"10.1097/MLR.0000000000002122","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Comprehensive health-related quality of life (QOL) assessment under severe respondent burden constraints requires improved single-item scales for frequently surveyed domains. This article documents how new single-item-per-domain (SIPD) QOL General (QGEN-8) measures were constructed for domains common to SF-36 and results from the first psychometric tests comparing scores for the new measure in relation to those for the SF-36 profile and summary components.</p><p><strong>Research design: </strong>Online NORC surveys of adults, ages 19-93 (mean=52 y) representing the US population in 2020 (N=1648) included QGEN-8 and SF-36 items measuring physical (PF), social (SF), role physical (RP) and role emotional (RE) functioning and feelings of bodily pain (BP), vitality (VT), and mental health (MH). QGEN-8 items were constructed with response categories increasing score ranges for functioning (PF, SF, RP, RE) and directly measuring first-order factors for feelings (BP, VT, and MH). Analyses compared ceiling effects, convergent-discriminant correlations, classic and confirmatory factor analysis (CFA) testing for higher-order physical and mental components, and validity in discriminating across groups differing in comorbid condition severity.</p><p><strong>Results: </strong>QGEN-8 reduced response times by 75% and lowered ceiling effect percentages (-2.2% to -27.8%, median=-14%) in comparison with SF-36. Their common measurement model was supported by: (1) substantial convergent correlations (r=0.576-0.778, median r=0.721) between methods for all domains; (2) lower discriminant correlations between different domains; (3) patterns of factor loadings equivalent to previous studies and adequate CFA model fit; (4) high correlations between methods for physical (r=0.813) and mental (r=0.761) component scores; and (5) equivalent average declines across groups reporting worse comorbid conditions.</p><p><strong>Conclusions: </strong>Overall, results support the use of QGEN-8 to reduce respondent burden and ceiling effects while maintaining convergent and discriminant validity sufficient to estimate group-level SF-36 physical (PCS) and mental (MCS) summary scores. To facilitate its use, QGEN-8 has been made available in multiple languages from the non-profit Mapi Research Trust at https://eprovide.mapi-trust.org.</p>","PeriodicalId":18364,"journal":{"name":"Medical Care","volume":" ","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/MLR.0000000000002122","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Comprehensive health-related quality of life (QOL) assessment under severe respondent burden constraints requires improved single-item scales for frequently surveyed domains. This article documents how new single-item-per-domain (SIPD) QOL General (QGEN-8) measures were constructed for domains common to SF-36 and results from the first psychometric tests comparing scores for the new measure in relation to those for the SF-36 profile and summary components.
Research design: Online NORC surveys of adults, ages 19-93 (mean=52 y) representing the US population in 2020 (N=1648) included QGEN-8 and SF-36 items measuring physical (PF), social (SF), role physical (RP) and role emotional (RE) functioning and feelings of bodily pain (BP), vitality (VT), and mental health (MH). QGEN-8 items were constructed with response categories increasing score ranges for functioning (PF, SF, RP, RE) and directly measuring first-order factors for feelings (BP, VT, and MH). Analyses compared ceiling effects, convergent-discriminant correlations, classic and confirmatory factor analysis (CFA) testing for higher-order physical and mental components, and validity in discriminating across groups differing in comorbid condition severity.
Results: QGEN-8 reduced response times by 75% and lowered ceiling effect percentages (-2.2% to -27.8%, median=-14%) in comparison with SF-36. Their common measurement model was supported by: (1) substantial convergent correlations (r=0.576-0.778, median r=0.721) between methods for all domains; (2) lower discriminant correlations between different domains; (3) patterns of factor loadings equivalent to previous studies and adequate CFA model fit; (4) high correlations between methods for physical (r=0.813) and mental (r=0.761) component scores; and (5) equivalent average declines across groups reporting worse comorbid conditions.
Conclusions: Overall, results support the use of QGEN-8 to reduce respondent burden and ceiling effects while maintaining convergent and discriminant validity sufficient to estimate group-level SF-36 physical (PCS) and mental (MCS) summary scores. To facilitate its use, QGEN-8 has been made available in multiple languages from the non-profit Mapi Research Trust at https://eprovide.mapi-trust.org.
期刊介绍:
Rated as one of the top ten journals in healthcare administration, Medical Care is devoted to all aspects of the administration and delivery of healthcare. This scholarly journal publishes original, peer-reviewed papers documenting the most current developments in the rapidly changing field of healthcare. This timely journal reports on the findings of original investigations into issues related to the research, planning, organization, financing, provision, and evaluation of health services.