Literature DB >> 17712255

Investigating differential item functioning by chronic diseases in the SF-36 health survey: a latent trait analysis using MIMIC models.

Yanni Fan Yu1, Andrew Peng Yu, Jeonghoon Ahn.   

Abstract

OBJECTIVES: Differential item functioning (DIF) is present when respondents of unique subgroups endorse certain items differently given the respondents have the same underlying ability. This study investigates the presence of DIF regarding chronic illnesses among items of the physical functioning (PF) and mental health (MH) domains of the SF-36 health survey.
METHODS: Multiple indicators multiple causes (MIMIC) model was applied to data extracted from the Kaiser Permanente database for members who completed the SF-36 during 1994-1995 (N = 7538). DIF effects were evaluated for sociodemographic variables and for indicators of 5 chronic conditions: hypertension, rheumatic conditions, diabetes, respiratory diseases, and depression. An iterative strategy with backward selection was applied to build DIF models, which were estimated by weighted least squares. The Hochberg procedure was applied to P values for multiple tests.
RESULTS: After controlling for the selected covariates and the latent ability, DIF was present in 3 items for hypertension, one for respiratory diseases, and one for diabetes. Adjusting for DIF did not modify the overall pattern of exogenous variables' effects on PF or MH, except Hispanic and other ethnicity on PF, education on MH became insignificant; and black ethnicity on PF, old ages and other ethnicity on MH became significant.
CONCLUSIONS: Considering the number of items and disease subgroups compared, the presence of DIF was minimal among items of the PF and MH domains of the SF-36. DIF had little effect on comparisons of sociodemographic or disease groups.

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Year:  2007        PMID: 17712255     DOI: 10.1097/MLR.0b013e318074ce4c

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  11 in total

1.  Occurrences and sources of Differential Item Functioning (DIF) in patient-reported outcome measures: Description of DIF methods, and review of measures of depression, quality of life and general health.

Authors:  Jeanne A Teresi; Mildred Ramirez; Jin-Shei Lai; Stephanie Silver
Journal:  Psychol Sci Q       Date:  2008

2.  Influence of explanatory and confounding variables on HRQoL after controlling for measurement bias and response shift in measurement.

Authors:  Pranav K Gandhi; L Douglas Ried; Carole L Kimberlin; Teresa L Kauf; I-Chan Huang
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2013-12       Impact factor: 2.217

3.  Testing whether patients with diabetes and healthy people perceive the meaning of the items in the Persian version of the SF-36 questionnaire similarly: a differential item functioning analysis.

Authors:  Zahra Bagheri; Peyman Jafari; Marzieh Mahmoodi; Mohammad Hossein Dabbaghmanesh
Journal:  Qual Life Res       Date:  2016-10-03       Impact factor: 4.147

4.  Testing measurement equivalence of the SF-36 questionnaire across patients on hemodialysis and healthy people.

Authors:  Zahra Bagheri; Peyman Jafari; Marjan Faghih; Elahe Allahyari; Tania Dehesh
Journal:  Int Urol Nephrol       Date:  2015-09-02       Impact factor: 2.370

5.  Health-related quality of life and help seeking among American Indians with diabetes and hypertension.

Authors:  Luohua Jiang; Janette Beals; Nancy R Whitesell; Yvette Roubideaux; Spero M Manson
Journal:  Qual Life Res       Date:  2009-06-14       Impact factor: 4.147

Review 6.  Measurement invariance across chronic conditions: a systematic review and an empirical investigation of the Health Education Impact Questionnaire (heiQ™).

Authors:  Michael Schuler; Gunda Musekamp; Jürgen Bengel; Sandra Nolte; Richard H Osborne; Hermann Faller
Journal:  Health Qual Life Outcomes       Date:  2014-04-23       Impact factor: 3.186

7.  Latent variable mixture models to test for differential item functioning: a population-based analysis.

Authors:  Xiuyun Wu; Richard Sawatzky; Wilma Hopman; Nancy Mayo; Tolulope T Sajobi; Juxin Liu; Jerilynn Prior; Alexandra Papaioannou; Robert G Josse; Tanveer Towheed; K Shawn Davison; Lisa M Lix
Journal:  Health Qual Life Outcomes       Date:  2017-05-15       Impact factor: 3.186

8.  Religiosity in black and white older Americans: Measure adaptation, psychometric validation, and racial difference.

Authors:  Chengwu Yang; Marvella E Ford; Barbara C Tilley; Ruth L Greene
Journal:  Medicine (Baltimore)       Date:  2016-09       Impact factor: 1.889

9.  Evaluating the Longitudinal Item and Category Stability of the SF-36 Full and Summary Scales Using Rasch Analysis.

Authors:  Reinie Cordier; Ted Brown; Lindy Clemson; Julie Byles
Journal:  Biomed Res Int       Date:  2018-11-04       Impact factor: 3.411

10.  Differential Item Functioning in the SF-36 Physical Functioning and Mental Health Sub-Scales: A Population-Based Investigation in the Canadian Multicentre Osteoporosis Study.

Authors:  Lisa M Lix; Xiuyun Wu; Wilma Hopman; Nancy Mayo; Tolulope T Sajobi; Juxin Liu; Jerilynn C Prior; Alexandra Papaioannou; Robert G Josse; Tanveer E Towheed; K Shawn Davison; Richard Sawatzky
Journal:  PLoS One       Date:  2016-03-21       Impact factor: 3.240

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