Literature DB >> 31350653

Differential item functioning of the CAHPS® In-Center Hemodialysis Survey.

Claude M Setodji1, John D Peipert2, Ron D Hays3,4.   

Abstract

PURPOSE: End-stage renal disease patients' experience of care is an integral part of the assessment of the quality of the care provided at hemodialysis centers and is needed to promote patient choice, quality improvement, and accountability. The purpose of this study is to evaluate the In-Center Hemodialysis Consumer Assessment of Healthcare Providers and Systems (ICH-CAHPS®) survey and its equivalence in different age, gender, race, and education subgroups.
METHODS: The ICH-CAHPS survey was administered to 1454 patients from 32 dialysis facilities. For the characteristics compared, the sample had 756 participants younger than 65 years old, 739 men, 516 Black, 567 White, and 970 with less than high school diploma. Three different patient experience constructs were studied including nephrologist's communication and caring, quality of care and operations, and providing information to patients. We used item response theory analysis to examine the possibility of differential item functioning (DIF) by patient age, gender, race, and education separately after controlling for the other DIF characteristics and additional confounding variables including survey mode, mental, and general health status as well as duration on dialysis.
RESULTS: The three constructs studied were unidimensional and no major DIF was observed on the composites. Some non-equivalences were observed when confounders were not controlled for, suggesting that such covariates can be important factors in understanding the possibility of disparity in patients' experience.
CONCLUSIONS: The ICH-CAHPS is a promising survey to elicit hemodialysis patients' experience that has good psychometric properties and provides a standardized tool for assessing age, gender, race, or education disparity.

Entities:  

Keywords:  CAHPS In-Center Hemodialysis (ICH) Survey; Differential item functioning; Health care disparities; Item response theory; Measurement equivalence; Patient experiences of care

Year:  2019        PMID: 31350653      PMCID: PMC6810787          DOI: 10.1007/s11136-019-02250-5

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  24 in total

1.  A comparison of inclusive and restrictive strategies in modern missing data procedures.

Authors:  L M Collins; J L Schafer; C M Kam
Journal:  Psychol Methods       Date:  2001-12

2.  Differential item functioning by survey language among older Hispanics enrolled in Medicare managed care: a new method for anchor item selection.

Authors:  Claude Messan Setodji; Steven P Reise; Leo S Morales; Marie N Fongwa; Ron D Hays
Journal:  Med Care       Date:  2011-05       Impact factor: 2.983

3.  Anchor Selection Using the Wald Test Anchor-All-Test-All Procedure.

Authors:  Mian Wang; Carol M Woods
Journal:  Appl Psychol Meas       Date:  2016-09-24

4.  Evaluating survey quality in health services research: a decision framework for assessing nonresponse bias.

Authors:  Jonathon R B Halbesleben; Marilyn V Whitman
Journal:  Health Serv Res       Date:  2012-10-10       Impact factor: 3.402

5.  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).

Authors:  John D Peipert; Peter Bentler; Kristi Klicko; Ron D Hays
Journal:  Qual Life Res       Date:  2018-05-14       Impact factor: 4.147

6.  Association of education level with dialysis outcome.

Authors:  Muhammad Khattak; Gurprataap S Sandhu; Ranil Desilva; Alexander S Goldfarb-Rumyantzev
Journal:  Hemodial Int       Date:  2012-01       Impact factor: 1.812

7.  Development and evaluation of the CAHPS (Consumer Assessment of Healthcare Providers and Systems) survey for in-center hemodialysis patients.

Authors:  Beverly A Weidmer; Paul D Cleary; San Keller; Christian Evensen; Margarita P Hurtado; Beth Kosiak; Patricia M Gallagher; Roger Levine; Ron D Hays
Journal:  Am J Kidney Dis       Date:  2014-07-03       Impact factor: 8.860

8.  Predictors of quality of life of hemodialysis patients in India.

Authors:  I Veerappan; R M Arvind; V Ilayabharthi
Journal:  Indian J Nephrol       Date:  2012-01

Review 9.  Systematic review of approaches to using patient experience data for quality improvement in healthcare settings.

Authors:  Helen Gleeson; Ana Calderon; Viren Swami; Jessica Deighton; Miranda Wolpert; Julian Edbrooke-Childs
Journal:  BMJ Open       Date:  2016-08-16       Impact factor: 2.692

10.  Methodological considerations in using patient reported measures in dialysis clinics.

Authors:  John D Peipert; Ron D Hays
Journal:  J Patient Rep Outcomes       Date:  2017-11-05
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