Literature DB >> 31069601

Response shift effects in patients' assessments of their quality of life after cardiac rehabilitation.

Michael Friedrich1, Jan Karoff2, Andreas Hinz3.   

Abstract

PURPOSE: The effect of intervention programs on health-related quality of life (HRQoL) can be underestimated due to response shift effects. This study aims to compare HRQoL between cardiac patients taking part in a rehabilitation program and the general population and to investigate changes in HRQoL in terms of response shift with two approaches.
METHODS: A sample of 282 cardiac rehabilitation inpatients (response rate: 58.9%) responded to the self-report quality of life questionnaire EORTC QLQ-C30 at baseline (during rehabilitation) and three months later (actual and retrospective judgment). Their HRQoL was compared to that of the general population. Response shift evaluation complemented the thentest with the structural equation modeling approach.
RESULTS: Compared to the general population, patients showed impaired quality of life on all scales (Hedges' g between 0.31 and 1.57). The complementation of the thentest with the structural equation modeling approach revealed response shift effects in physical, emotional, cognitive, and social functioning. No effects were found in role functioning.
CONCLUSIONS: The combination of both the thentest and the structural equation modeling approaches proved to be essential for obtaining comprehensive statistical evidence that response shift can distort measurements of change. Our results suggest that studies that use the thentest to evaluate the effectiveness of interventions should complement their analyses with the structural equation modeling approach to avoid biased effects.

Entities:  

Keywords:  Quality of life; Response shift; Structural equation modeling; Thentest

Mesh:

Year:  2019        PMID: 31069601     DOI: 10.1007/s11136-019-02195-9

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


  28 in total

1.  Integrating response shift into health-related quality of life research: a theoretical model.

Authors:  M A Sprangers; C E Schwartz
Journal:  Soc Sci Med       Date:  1999-06       Impact factor: 4.634

2.  Using structural equation modeling to detect response shifts and true change.

Authors:  Frans J Oort
Journal:  Qual Life Res       Date:  2005-04       Impact factor: 4.147

3.  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

4.  Reference data for the quality of life questionnaire EORTC QLQ-C30 in the general German population.

Authors:  R Schwarz; A Hinz
Journal:  Eur J Cancer       Date:  2001-07       Impact factor: 9.162

5.  Health related quality of life in patients with congestive heart failure: comparison with other chronic diseases and relation to functional variables.

Authors:  J Juenger; D Schellberg; S Kraemer; A Haunstetter; C Zugck; W Herzog; M Haass
Journal:  Heart       Date:  2002-03       Impact factor: 5.994

6.  Health-related quality of life measured by the EORTC QLQ-C30--reference values from a large sample of Swedish population.

Authors:  H Michelson; C Bolund; B Nilsson; Y Brandberg
Journal:  Acta Oncol       Date:  2000       Impact factor: 4.089

7.  Revealing response shift in longitudinal research on fatigue--the use of the thentest approach.

Authors:  M A Sprangers; F S Van Dam; J Broersen; L Lodder; L Wever; M R Visser; P Oosterveld; E M Smets
Journal:  Acta Oncol       Date:  1999       Impact factor: 4.089

8.  An application of structural equation modeling to detect response shifts and true change in quality of life data from cancer patients undergoing invasive surgery.

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

9.  Validation and comparison of the health-related quality-of-life instruments EORTC QLQ-C30 and SF-36 in assessment of patients with chronic nonmalignant pain.

Authors:  Olav Magnus S Fredheim; Petter C Borchgrevink; Turi Saltnes; Stein Kaasa
Journal:  J Pain Symptom Manage       Date:  2007-07-09       Impact factor: 3.612

10.  Quality of life in adults with congenital heart disease.

Authors:  D A Lane; G Y H Lip; T A Millane
Journal:  Heart       Date:  2002-07       Impact factor: 5.994

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Authors:  Margaret-Ann Tait; Daniel S J Costa; Rachel Campbell; Richard Norman; Stephan Schug; Claudia Rutherford
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3.  Midwives' empathy and shared decision making from women's perspective - sensitivity of an assessment to compare quality of care in prenatal and obstetric care.

Authors:  Anja Alexandra Schulz; Markus Antonius Wirtz
Journal:  BMC Pregnancy Childbirth       Date:  2022-09-20       Impact factor: 3.105

Review 4.  Selection of a quality of life instrument for polio survivors in Northwest Nigeria.

Authors:  Surajo Kamilu Sulaiman; Heather Michelle Aldersey; Vincent G DePaul; Bashir Kaka
Journal:  Health Qual Life Outcomes       Date:  2020-09-21       Impact factor: 3.186

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