Skip to main content
Top
Gepubliceerd in: Quality of Life Research 10/2018

14-05-2018

Negligible impact of differential item functioning between Black and White dialysis patients on the Kidney Disease Quality of Life 36-item short form survey (KDQOLTM-36)

Auteurs: John D. Peipert, Peter Bentler, Kristi Klicko, Ron D. Hays

Gepubliceerd in: Quality of Life Research | Uitgave 10/2018

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

Purpose

Black dialysis patients report better health-related quality of life (HRQOL) than White patients, which may be explained if Black and White patients respond systematically differently to HRQOL survey items.

Methods

We examined differential item functioning (DIF) of the Kidney Disease Quality of Life 36-item (KDQOLTM-36) Burden of Kidney Disease, Symptoms and Problems with Kidney Disease, and Effects of Kidney Disease scales between Black (n = 18,404) and White (n = 21,439) dialysis patients. We fit multiple group confirmatory factor analysis models with increasing invariance: a Configural model (invariant factor structure), a Metric model (invariant factor loadings), and a Scalar model (invariant intercepts). Criteria for invariance included non-significant χ2 tests, > 0.002 difference in the models’ CFI, and > 0.015 difference in RMSEA and SRMR. Next, starting with a fully invariant model, we freed loadings and intercepts item-by-item to determine if DIF impacted estimated KDQOLTM-36 scale means.

Results

ΔCFI was 0.006 between the metric and scalar models but was reduced to 0.001 when we freed intercepts for the burdens and symptoms and problems of kidney disease scales. In comparison to standardized means of 0 in the White group, those for the Black group on the Burdens, Symptoms and Problems, and Effects of Kidney Disease scales were 0.218, 0.061, and 0.161, respectively. When loadings and thresholds were released sequentially, differences in means between models ranged between 0.001 and 0.048.

Conclusion

Despite some DIF, impacts on KDQOLTM-36 responses appear to be minimal. We conclude that the KDQOLTM-36 is appropriate to make substantive comparisons of HRQOL between Black and White dialysis patients.
Literatuur
1.
go back to reference United States Renal Data System. (2017). 2017 USRDS annual data report: Epidemiology of kidney disease in the United States. Bethesda, MD: National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases. United States Renal Data System. (2017). 2017 USRDS annual data report: Epidemiology of kidney disease in the United States. Bethesda, MD: National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases.
2.
go back to reference Hertz, R. P., Unger, A. N., Cornell, J. A., & Saunders, E. (2005). Racial disparities in hypertension prevalence, awareness, and management. Archives of Internal Medicine, 165(18), 2098–2104.CrossRefPubMed Hertz, R. P., Unger, A. N., Cornell, J. A., & Saunders, E. (2005). Racial disparities in hypertension prevalence, awareness, and management. Archives of Internal Medicine, 165(18), 2098–2104.CrossRefPubMed
3.
go back to reference Centers for Disease Control and Prevention. (2017). National Diabetes Statistics Report, 2017. Atlanta, GA: Centers for Disease Control and Prevention, U.S. Dept of Health and Human Services. Centers for Disease Control and Prevention. (2017). National Diabetes Statistics Report, 2017. Atlanta, GA: Centers for Disease Control and Prevention, U.S. Dept of Health and Human Services.
4.
go back to reference Hays, R. D., Cunningham, W. E., Sherbourne, C. D., Wilson, I. B., Wu, A. W., Cleary, P. D., McCaffrey, D. F., Fleishman, J. A., Crystal, S., Collins, R., Eggan, F., Shapiro, M. F., & Bozzette, S. A. (2000). Health-related quality of life in patients with human immunodeficiency virus infection in the United States: Results from the HIV cost and services utilization study. The American Journal of Medicine, 108(9), 714–722.CrossRefPubMed Hays, R. D., Cunningham, W. E., Sherbourne, C. D., Wilson, I. B., Wu, A. W., Cleary, P. D., McCaffrey, D. F., Fleishman, J. A., Crystal, S., Collins, R., Eggan, F., Shapiro, M. F., & Bozzette, S. A. (2000). Health-related quality of life in patients with human immunodeficiency virus infection in the United States: Results from the HIV cost and services utilization study. The American Journal of Medicine, 108(9), 714–722.CrossRefPubMed
5.
go back to reference Sledge, R. (2010). KDQOL-36 and the interdisciplinary team. Nephrology News & Issues, 24(7), 36–38. Sledge, R. (2010). KDQOL-36 and the interdisciplinary team. Nephrology News & Issues, 24(7), 36–38.
7.
go back to reference Hays, R. D., Kallich, J. D., Mapes, D. L., Coons, S. J., & Carter, W. B. (1994). Development of the kidney disease quality of life (KDQOL) instrument. Quality of Life Research, 3(5), 329–338.CrossRefPubMed Hays, R. D., Kallich, J. D., Mapes, D. L., Coons, S. J., & Carter, W. B. (1994). Development of the kidney disease quality of life (KDQOL) instrument. Quality of Life Research, 3(5), 329–338.CrossRefPubMed
8.
go back to reference Tell, G. S., Mittelmark, M. B., Hylander, B., Shumaker, S. A., Russell, G., & Burkart, J. M. (1995). Social support and health-related quality of life in black and white dialysis patients. ANNA Journal, 22(3), 301–308; discussion 309–310.PubMed Tell, G. S., Mittelmark, M. B., Hylander, B., Shumaker, S. A., Russell, G., & Burkart, J. M. (1995). Social support and health-related quality of life in black and white dialysis patients. ANNA Journal, 22(3), 301–308; discussion 309–310.PubMed
9.
go back to reference Lopes, A. A., Bragg-Gresham, J. L., Satayathum, S., McCullough, K., Pifer, T., Goodkin, D. A., Mapes, D. L., Young, E. W., Wolfe, R. A., Held, P. J., & Port, F. K. (2003). Health-related quality of life and associated outcomes among hemodialysis patients of different ethnicities in the United States: The Dialysis Outcomes and Practice Patterns Study (DOPPS). American Journal of Kidney Diseases, 41(3), 605–615.CrossRefPubMed Lopes, A. A., Bragg-Gresham, J. L., Satayathum, S., McCullough, K., Pifer, T., Goodkin, D. A., Mapes, D. L., Young, E. W., Wolfe, R. A., Held, P. J., & Port, F. K. (2003). Health-related quality of life and associated outcomes among hemodialysis patients of different ethnicities in the United States: The Dialysis Outcomes and Practice Patterns Study (DOPPS). American Journal of Kidney Diseases, 41(3), 605–615.CrossRefPubMed
10.
go back to reference Mapes, D. L., Bragg-Gresham, J. L., Bommer, J., Fukuhara, S., McKevitt, P., Wikstrom, B., & Lopes, A. A. (2004). Health-related quality of life in the Dialysis Outcomes and Practice Patterns Study (DOPPS). American Journal of Kidney Diseases, 44(5 Suppl 2), 54–60.CrossRefPubMed Mapes, D. L., Bragg-Gresham, J. L., Bommer, J., Fukuhara, S., McKevitt, P., Wikstrom, B., & Lopes, A. A. (2004). Health-related quality of life in the Dialysis Outcomes and Practice Patterns Study (DOPPS). American Journal of Kidney Diseases, 44(5 Suppl 2), 54–60.CrossRefPubMed
11.
go back to reference Muthén, L. K., & Muthén, B. O. (2017). Mplus user’s guide. Los Angeles, CA. Muthén, L. K., & Muthén, B. O. (2017). Mplus user’s guide. Los Angeles, CA.
12.
go back to reference Sass, D. A., Schmitt, T. A., & Marsh, H. W. (2014). Evaluating model fit with ordered categorical data within a measurement invariance framework: A comparison of estimators. Structural Equation Modeling-a Multidisciplinary Journal, 21(2), 167–180.CrossRef Sass, D. A., Schmitt, T. A., & Marsh, H. W. (2014). Evaluating model fit with ordered categorical data within a measurement invariance framework: A comparison of estimators. Structural Equation Modeling-a Multidisciplinary Journal, 21(2), 167–180.CrossRef
13.
go back to reference Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling-a Multidisciplinary Journal, 6(1), 1–55.CrossRef Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling-a Multidisciplinary Journal, 6(1), 1–55.CrossRef
14.
go back to reference Bentler, P. M. (2006). EQS 6 Structural Equations Program Manual. Encino, CA: Multivariate Software, Inc. Bentler, P. M. (2006). EQS 6 Structural Equations Program Manual. Encino, CA: Multivariate Software, Inc.
15.
go back to reference Meade, A. W., Johnson, E. C., & Braddy, P. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568–592.CrossRefPubMed Meade, A. W., Johnson, E. C., & Braddy, P. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568–592.CrossRefPubMed
16.
go back to reference Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464–504.CrossRef Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464–504.CrossRef
17.
go back to reference Yoon, M., & Millsap, R. E. (2007). Detecting violations of factorial invariance using data-based specification searches: A Monte Carlo study. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 435–463.CrossRef Yoon, M., & Millsap, R. E. (2007). Detecting violations of factorial invariance using data-based specification searches: A Monte Carlo study. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 435–463.CrossRef
18.
go back to reference Wu, H., & Estabrook, R. (2016). Identification of confirmatory factor analysis models of different levels of invariance for ordered categorical outcomes. Psychometrika, 81(4), 1014–1045.CrossRefPubMedPubMedCentral Wu, H., & Estabrook, R. (2016). Identification of confirmatory factor analysis models of different levels of invariance for ordered categorical outcomes. Psychometrika, 81(4), 1014–1045.CrossRefPubMedPubMedCentral
19.
go back to reference Asparouhov, T., & Muthen, B. (2010). Simple second order chi-square correction. Los Angeles, CA: Muthén and Muthén. Asparouhov, T., & Muthen, B. (2010). Simple second order chi-square correction. Los Angeles, CA: Muthén and Muthén.
21.
go back to reference Asparouhov, T., & Muthen, B. (2006). Robust chi square difference testing with mean and variance adjusted test statistics. Los Angeles, CA: Mplus. Asparouhov, T., & Muthen, B. (2006). Robust chi square difference testing with mean and variance adjusted test statistics. Los Angeles, CA: Mplus.
22.
go back to reference Saban, K. L., Bryant, F. B., Reda, D. J., Stroupe, K. T., & Hynes, D. M. (2010). Measurement invariance of the kidney disease and quality of life instrument (KDQOL-SF) across veterans and non-veterans. Health and Quality of Life Outcomes, 8(1), 120.CrossRefPubMedPubMedCentral Saban, K. L., Bryant, F. B., Reda, D. J., Stroupe, K. T., & Hynes, D. M. (2010). Measurement invariance of the kidney disease and quality of life instrument (KDQOL-SF) across veterans and non-veterans. Health and Quality of Life Outcomes, 8(1), 120.CrossRefPubMedPubMedCentral
23.
go back to reference Unruh, M., Miskulin, D., Yan, G., Hays, R. D., Benz, R., Kusek, J. W., Meyer, K. B., & HEMO Study Group. (2004). Racial differences in health-related quality of life among hemodialysis patients. Kidney International, 65(4), 1482–1491.CrossRefPubMed Unruh, M., Miskulin, D., Yan, G., Hays, R. D., Benz, R., Kusek, J. W., Meyer, K. B., & HEMO Study Group. (2004). Racial differences in health-related quality of life among hemodialysis patients. Kidney International, 65(4), 1482–1491.CrossRefPubMed
24.
go back to reference Kutner, N. G., & Devins, G. M. (1998). A comparison of the quality of life reported by elderly whites and elderly blacks on dialysis. Geriatric Nephrology and Urology, 8(2), 77–83.CrossRefPubMed Kutner, N. G., & Devins, G. M. (1998). A comparison of the quality of life reported by elderly whites and elderly blacks on dialysis. Geriatric Nephrology and Urology, 8(2), 77–83.CrossRefPubMed
Metagegevens
Titel
Negligible impact of differential item functioning between Black and White dialysis patients on the Kidney Disease Quality of Life 36-item short form survey (KDQOLTM-36)
Auteurs
John D. Peipert
Peter Bentler
Kristi Klicko
Ron D. Hays
Publicatiedatum
14-05-2018
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 10/2018
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-018-1879-3

Andere artikelen Uitgave 10/2018

Quality of Life Research 10/2018 Naar de uitgave