Developing a New Version of the SF-6D Health State Classification System From the SF-36v2: SF-6Dv2

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Developing a New Version of the SF-6D Health State Classification System From the SF-36v2 : SF-6Dv2. / SF-6Dv2 International Project Group.

In: Medical Care, Vol. 58, No. 6, 2020, p. 557-565.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

SF-6Dv2 International Project Group 2020, 'Developing a New Version of the SF-6D Health State Classification System From the SF-36v2: SF-6Dv2', Medical Care, vol. 58, no. 6, pp. 557-565. https://doi.org/10.1097/MLR.0000000000001325

APA

SF-6Dv2 International Project Group (2020). Developing a New Version of the SF-6D Health State Classification System From the SF-36v2: SF-6Dv2. Medical Care, 58(6), 557-565. https://doi.org/10.1097/MLR.0000000000001325

Vancouver

SF-6Dv2 International Project Group. Developing a New Version of the SF-6D Health State Classification System From the SF-36v2: SF-6Dv2. Medical Care. 2020;58(6):557-565. https://doi.org/10.1097/MLR.0000000000001325

Author

SF-6Dv2 International Project Group. / Developing a New Version of the SF-6D Health State Classification System From the SF-36v2 : SF-6Dv2. In: Medical Care. 2020 ; Vol. 58, No. 6. pp. 557-565.

Bibtex

@article{25f0aa54c24e413d90993f51b8dd0baa,
title = "Developing a New Version of the SF-6D Health State Classification System From the SF-36v2: SF-6Dv2",
abstract = "OBJECTIVE: The objective of this study was to develop the classification system for version of the SF-6D (SF-6Dv2) from the SF-36v2. SF-6Dv2 is an improved version of SF-6D, one of the most widely used generic measures of health for the calculation of quality-adjusted life years. STUDY DESIGN AND SETTING: A 3-step process was undertaken to generate a new classification system: (1) factor analysis to establish dimensionality; (2) Rasch analysis to understand item performance; and (3) tests of differential item function. To evaluate robustness, Rasch analyses were performed in multiple subsets of 2 large cross-sectional datasets from recently discharged hospital patients and online patient samples. RESULTS: On the basis of factor analysis, other psychometric evidence, cross-cultural considerations, and amenability to valuation, the 6-dimension classification used in SF-6D was maintained. SF-6Dv2 resulted in the following modifications to SF-6D: a simpler classification of physical function with clearer separation between levels; a more detailed 5-level description of role limitations; using negative wording to describe vitality; and using pain severity rather than pain interference. CONCLUSIONS: The SF-6Dv2 classification system describes more distinct levels of health than SF-6D, changes the descriptions used for a number of dimensions and provides clearer wording for health state valuation. The second stage of the study has developed a utility value set using discrete choice methods so that the measure can be used in health technology assessment. Further work should investigate the psychometric characteristics of the new instrument.",
author = "Brazier, {John E.} and Mulhern, {Brendan J.} and Bjorner, {Jakob B.} and Barbara Gandek and Donna Rowen and Jordi Alonso and Gemma Vilagut and Ware, {John E.} and {SF-6Dv2 International Project Group}",
year = "2020",
doi = "10.1097/MLR.0000000000001325",
language = "English",
volume = "58",
pages = "557--565",
journal = "Medical Care",
issn = "0025-7079",
publisher = "Lippincott Williams & Wilkins",
number = "6",

}

RIS

TY - JOUR

T1 - Developing a New Version of the SF-6D Health State Classification System From the SF-36v2

T2 - SF-6Dv2

AU - Brazier, John E.

AU - Mulhern, Brendan J.

AU - Bjorner, Jakob B.

AU - Gandek, Barbara

AU - Rowen, Donna

AU - Alonso, Jordi

AU - Vilagut, Gemma

AU - Ware, John E.

AU - SF-6Dv2 International Project Group

PY - 2020

Y1 - 2020

N2 - OBJECTIVE: The objective of this study was to develop the classification system for version of the SF-6D (SF-6Dv2) from the SF-36v2. SF-6Dv2 is an improved version of SF-6D, one of the most widely used generic measures of health for the calculation of quality-adjusted life years. STUDY DESIGN AND SETTING: A 3-step process was undertaken to generate a new classification system: (1) factor analysis to establish dimensionality; (2) Rasch analysis to understand item performance; and (3) tests of differential item function. To evaluate robustness, Rasch analyses were performed in multiple subsets of 2 large cross-sectional datasets from recently discharged hospital patients and online patient samples. RESULTS: On the basis of factor analysis, other psychometric evidence, cross-cultural considerations, and amenability to valuation, the 6-dimension classification used in SF-6D was maintained. SF-6Dv2 resulted in the following modifications to SF-6D: a simpler classification of physical function with clearer separation between levels; a more detailed 5-level description of role limitations; using negative wording to describe vitality; and using pain severity rather than pain interference. CONCLUSIONS: The SF-6Dv2 classification system describes more distinct levels of health than SF-6D, changes the descriptions used for a number of dimensions and provides clearer wording for health state valuation. The second stage of the study has developed a utility value set using discrete choice methods so that the measure can be used in health technology assessment. Further work should investigate the psychometric characteristics of the new instrument.

AB - OBJECTIVE: The objective of this study was to develop the classification system for version of the SF-6D (SF-6Dv2) from the SF-36v2. SF-6Dv2 is an improved version of SF-6D, one of the most widely used generic measures of health for the calculation of quality-adjusted life years. STUDY DESIGN AND SETTING: A 3-step process was undertaken to generate a new classification system: (1) factor analysis to establish dimensionality; (2) Rasch analysis to understand item performance; and (3) tests of differential item function. To evaluate robustness, Rasch analyses were performed in multiple subsets of 2 large cross-sectional datasets from recently discharged hospital patients and online patient samples. RESULTS: On the basis of factor analysis, other psychometric evidence, cross-cultural considerations, and amenability to valuation, the 6-dimension classification used in SF-6D was maintained. SF-6Dv2 resulted in the following modifications to SF-6D: a simpler classification of physical function with clearer separation between levels; a more detailed 5-level description of role limitations; using negative wording to describe vitality; and using pain severity rather than pain interference. CONCLUSIONS: The SF-6Dv2 classification system describes more distinct levels of health than SF-6D, changes the descriptions used for a number of dimensions and provides clearer wording for health state valuation. The second stage of the study has developed a utility value set using discrete choice methods so that the measure can be used in health technology assessment. Further work should investigate the psychometric characteristics of the new instrument.

U2 - 10.1097/MLR.0000000000001325

DO - 10.1097/MLR.0000000000001325

M3 - Journal article

C2 - 32412942

AN - SCOPUS:85084787960

VL - 58

SP - 557

EP - 565

JO - Medical Care

JF - Medical Care

SN - 0025-7079

IS - 6

ER -

ID: 242846963