Literature DB >> 16900280

Understanding global transition assessments.

Kathleen W Wyrwich1, Vicki M Tardino.   

Abstract

OBJECTIVE: Several methods currently used for determining meaningful or important change in health-related quality of life (HRQoL) measures are anchored by global transition items. It can be empirically demonstrated that patients' responses to these gold standards for change do not adequately incorporate the prior condition, yet these transition items play an influential role in patient-clinician communications and cannot be disregarded. This follow-up study queried patients to better understand how they ascertained their transition assessments. DATA SOURCE: Prior to their qualitative interviews, the 41 participants in this study had completed 1 year of enrollment in a clinical study with bi-monthly HRQoL telephone interviews that included the SF-36 and a disease-specific HRQoL instrument (asthma, COPD, or heart disease), as well as global transition assessments for each instruments domains. STUDY
DESIGN: We used face-to-face cognitive interview and the think aloud approaches to obtain qualitative clues for understanding patient reports of HRQoL changes over time. Interview transcripts were coded using the four components of the Rapkin-Schwarz Appraisal Model: frame of reference; sampling strategy; standards of comparison; and combinatory algorithm. PRINCIPAL
FINDINGS: Patients' explanations for determining global transition item responses often focused on current mobility and fatigue patterns, physicians' statements about their conditions, comparisons of their current states with the prior health conditions, and strong personal convictions that reflected a resistance to voicing any emotional changes. Patients also expressed primary health concerns, like back pain, that were not related to the chronic conditions (asthma, COPD or heart disease) under investigation.
CONCLUSIONS: HRQoL studies and patient-clinician communications that incorporate global transition assessments to anchor the interpretations of HRQoL changes should also consider additional relevant questions to understand the process patients uses to appraise and report changes in HRQoL.

Entities:  

Mesh:

Year:  2006        PMID: 16900280     DOI: 10.1007/s11136-006-0050-8

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


  10 in total

1.  9-11, personal stress, mental health, and sense of control among older adults.

Authors:  Fredric D Wolinsky; Kathleen W Wyrwich; Kurt Kroenke; Ajit N Babu; William M Tierney
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2003-05       Impact factor: 4.077

2.  Methodological problems in the retrospective computation of responsiveness to change: the lesson of Cronbach.

Authors:  G R Norman; P Stratford; G Regehr
Journal:  J Clin Epidemiol       Date:  1997-08       Impact factor: 6.437

3.  Measurement of health status. Ascertaining the minimal clinically important difference.

Authors:  R Jaeschke; J Singer; G H Guyatt
Journal:  Control Clin Trials       Date:  1989-12

4.  Capturing the patient's view of change as a clinical outcome measure.

Authors:  D Fischer; A L Stewart; D A Bloch; K Lorig; D Laurent; H Holman
Journal:  JAMA       Date:  1999 Sep 22-29       Impact factor: 56.272

5.  A measure of quality of life for clinical trials in chronic lung disease.

Authors:  G H Guyatt; L B Berman; M Townsend; S O Pugsley; L W Chambers
Journal:  Thorax       Date:  1987-10       Impact factor: 9.139

Review 6.  Methods to explain the clinical significance of health status measures.

Authors:  Gordon H Guyatt; David Osoba; Albert W Wu; Kathleen W Wyrwich; Geoffrey R Norman
Journal:  Mayo Clin Proc       Date:  2002-04       Impact factor: 7.616

7.  Development and testing of a new measure of health status for clinical trials in heart failure.

Authors:  G H Guyatt; S Nogradi; S Halcrow; J Singer; M J Sullivan; E L Fallen
Journal:  J Gen Intern Med       Date:  1989 Mar-Apr       Impact factor: 5.128

8.  Measuring quality of life in asthma.

Authors:  E F Juniper; G H Guyatt; P J Ferrie; L E Griffith
Journal:  Am Rev Respir Dis       Date:  1993-04

9.  A critical look at transition ratings.

Authors:  Gordon H Guyatt; Geoffrey R Norman; Elizabeth F Juniper; Lauren E Griffith
Journal:  J Clin Epidemiol       Date:  2002-09       Impact factor: 6.437

Review 10.  Toward a theoretical model of quality-of-life appraisal: Implications of findings from studies of response shift.

Authors:  Bruce D Rapkin; Carolyn E Schwartz
Journal:  Health Qual Life Outcomes       Date:  2004-03-15       Impact factor: 3.186

  10 in total
  12 in total

Review 1.  The clinical significance of adaptation to changing health: a meta-analysis of response shift.

Authors:  Carolyn E Schwartz; Rita Bode; Nicholas Repucci; Janine Becker; Mirjam A G Sprangers; Peter M Fayers
Journal:  Qual Life Res       Date:  2006-09-26       Impact factor: 4.147

2.  Clarifying quality of life assessment: do theoretical models capture the underlying cognitive processes?

Authors:  Elsbeth F Bloem; Florence J van Zuuren; Margot A Koeneman; Bruce D Rapkin; Mechteld R M Visser; Caro C E Koning; Mirjam A G Sprangers
Journal:  Qual Life Res       Date:  2008-08-14       Impact factor: 4.147

3.  Estimating the minimum important change in the 15D scores.

Authors:  Soili Alanne; Risto P Roine; Pirjo Räsänen; Tarja Vainiola; Harri Sintonen
Journal:  Qual Life Res       Date:  2014-08-22       Impact factor: 4.147

4.  Interpretability, validity, and the minimum important difference.

Authors:  Leah McClimans
Journal:  Theor Med Bioeth       Date:  2011-12

5.  Measures of arthritis activity associated with patient-reported improvement in rheumatoid arthritis when assessed prospectively versus retrospectively.

Authors:  Michael M Ward; Lori C Guthrie; Maria I Alba
Journal:  Arthritis Care Res (Hoboken)       Date:  2015-05       Impact factor: 4.794

6.  Advancing Symptom Science Through Use of Common Data Elements.

Authors:  Nancy S Redeker; Ruth Anderson; Suzanne Bakken; Elizabeth Corwin; Sharron Docherty; Susan G Dorsey; Margaret Heitkemper; Donna Jo McCloskey; Shirley Moore; Carol Pullen; Bruce Rapkin; Rachel Schiffman; Drenna Waldrop-Valverde; Patricia Grady
Journal:  J Nurs Scholarsh       Date:  2015-08-06       Impact factor: 3.176

7.  Factors associated with short-term recovery of health status among emergency department patients with acute exacerbations of chronic obstructive pulmonary disease.

Authors:  Chu-Lin Tsai; Brian H Rowe; Carlos A Camargo
Journal:  Qual Life Res       Date:  2009-01-04       Impact factor: 4.147

8.  EuroQol (EQ-5D) measure of quality of life predicts mortality, emergency department utilization, and hospital discharge rates in HIV-infected adults under care.

Authors:  William C Mathews; Susanne May
Journal:  Health Qual Life Outcomes       Date:  2007-01-25       Impact factor: 3.186

9.  Meaningful changes for the Oxford hip and knee scores after joint replacement surgery.

Authors:  David J Beard; Kristina Harris; Jill Dawson; Helen Doll; David W Murray; Andrew J Carr; Andrew J Price
Journal:  J Clin Epidemiol       Date:  2014-10-31       Impact factor: 6.437

Review 10.  Patient capacity and constraints in the experience of chronic disease: a qualitative systematic review and thematic synthesis.

Authors:  Kasey R Boehmer; Michael R Gionfriddo; Rene Rodriguez-Gutierrez; Abd Moain Abu Dabrh; Aaron L Leppin; Ian Hargraves; Carl R May; Nathan D Shippee; Ana Castaneda-Guarderas; Claudia Zeballos Palacios; Pavithra Bora; Patricia Erwin; Victor M Montori
Journal:  BMC Fam Pract       Date:  2016-09-01       Impact factor: 2.497

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