Literature DB >> 27061424

An item-level response shift study on the change of health state with the rating of asthma-specific quality of life: a report from the PROMIS(®) Pediatric Asthma Study.

Pranav K Gandhi1, Carolyn E Schwartz2,3, Bryce B Reeve4,5, Darren A DeWalt5,6, Heather E Gross5, I-Chan Huang7.   

Abstract

PURPOSE: To examine item-level response shift associated with the change in asthma-related health state (i.e., change in asthma control status and global rating of change (GRC) in breathing problems).
METHODS: Study sample comprised 238 asthmatic children who were between 8 and 17.9 years and completed the Pediatric Asthma Quality of Life Questionnaire (PAQLQ) symptoms, emotion function, and activity limitation domains at baseline and a follow-up assessment. Structural equation modeling was implemented to assess item-level response shift associated with the change in asthma-related health state with the adjustment for the influence of confounding variables. The magnitude of item-level response shift and its influence on the change of domain scores was estimated using Cohen's effect sizes.
RESULTS: We found no instances of item-level response shift. However, two items were identified with measurement bias related to GRC due to breathing problems. Specifically, asthmatic children with better/about the same GRC due to breathing problems reported lower scores for one item in the emotional domain at follow-up compared to those with deteriorated GRC due to breathing problems. In addition, asthmatic children with better/about the same GRC due to breathing problems reported better scores for another item in the symptom domain at baseline compared to those with deteriorated GRC due to breathing problems. The impact of measurement bias was small and did not bias the change of domain scores over time.
CONCLUSIONS: No item-level response shift, but two instances of measurement bias, appears in asthmatic children. However, the impact of these measurement issues is negligible.

Entities:  

Keywords:  Asthma; Children; Measurement bias; PAQLQ; Response shift

Mesh:

Year:  2016        PMID: 27061424      PMCID: PMC4871765          DOI: 10.1007/s11136-016-1290-x

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


  42 in total

Review 1.  Impact of response shift on longitudinal quality-of-life assessment in cancer clinical trials.

Authors:  Zeinab Hamidou; Tienhan Sandrine Dabakuyo; Franck Bonnetain
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2011-10       Impact factor: 2.217

2.  Methods to detect response shift in quality of life data: a convergent validity study.

Authors:  Mechteld R M Visser; Frans J Oort; Mirjam A G Sprangers
Journal:  Qual Life Res       Date:  2005-04       Impact factor: 4.147

3.  Guidelines for improving the stringency of response shift research using the thentest.

Authors:  Carolyn E Schwartz; Mirjam A G Sprangers
Journal:  Qual Life Res       Date:  2010-01-19       Impact factor: 4.147

4.  Formal definitions of measurement bias and explanation bias clarify measurement and conceptual perspectives on response shift.

Authors:  Frans J Oort; Mechteld R M Visser; Mirjam A G Sprangers
Journal:  J Clin Epidemiol       Date:  2009-06-21       Impact factor: 6.437

5.  Asthma that is not well-controlled is associated with increased healthcare utilization and decreased quality of life.

Authors:  Theresa W Guilbert; Cindy Garris; Priti Jhingran; Machaon Bonafede; Kenneth J Tomaszewski; Tiffany Bonus; Rebecca M Hahn; Michael Schatz
Journal:  J Asthma       Date:  2010-12-06       Impact factor: 2.515

6.  Understanding appraisal processes underlying the thentest: a mixed methods investigation.

Authors:  Carolyn E Schwartz; Bruce D Rapkin; Bruce A Rapkin
Journal:  Qual Life Res       Date:  2011-10-04       Impact factor: 4.147

7.  Responsiveness, longitudinal- and cross-sectional construct validity of the Pediatric Asthma Quality of Life Questionnaire (PAQLQ) in Dutch children with asthma.

Authors:  H Raat; H J Bueving; J C de Jongste; M H Grol; E F Juniper; J C van der Wouden
Journal:  Qual Life Res       Date:  2005-02       Impact factor: 4.147

Review 8.  Evaluating health-related quality-of-life studies in paediatric populations: some conceptual, methodological and developmental considerations and recent applications.

Authors:  Mirella De Civita; Dean Regier; Abul H Alamgir; Aslam H Anis; Mark J Fitzgerald; Carlo A Marra
Journal:  Pharmacoeconomics       Date:  2005       Impact factor: 4.981

9.  Structural equation modeling of health-related quality-of-life data illustrates the measurement and conceptual perspectives on response shift.

Authors:  B L King-Kallimanis; F J Oort; M R M Visser; M A G Sprangers
Journal:  J Clin Epidemiol       Date:  2009-11       Impact factor: 6.437

10.  The Asthma Control and Communication Instrument: a clinical tool developed for ethnically diverse populations.

Authors:  Cecilia M Patino; Sande O Okelo; Cynthia S Rand; Kristin A Riekert; Jerry A Krishnan; Kathy Thompson; Ruth I Quartey; Deanna Perez-Williams; Andrew Bilderback; Barry Merriman; Laura Paulin; Nadia Hansel; Gregory B Diette
Journal:  J Allergy Clin Immunol       Date:  2008-10-11       Impact factor: 10.793

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  3 in total

1.  Introduction to special section on response shift at the item level.

Authors:  Carolyn E Schwartz
Journal:  Qual Life Res       Date:  2016-04-28       Impact factor: 4.147

2.  Determinants of longitudinal health-related quality-of-life change in children with asthma from low-income families: a report from the PROMIS® Pediatric Asthma Study.

Authors:  Z Li; W L Leite; L A Thompson; H E Gross; E A Shenkman; B B Reeve; D A DeWalt; I-C Huang
Journal:  Clin Exp Allergy       Date:  2016-10-21       Impact factor: 5.018

3.  The use of Oral Health Impact on Daily Living (OHIDL) transition scale in measuring the change in oral health-related quality of life among older adults.

Authors:  Jian Liu; May Chun Mei Wong; Edward Chin Man Lo
Journal:  BMC Oral Health       Date:  2021-05-03       Impact factor: 2.757

  3 in total

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