Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

At a glance: The ONWARDS insulin icodec trials

A round-up of the ONWARDS phase 3 clinical trials evaluating the novel weekly insulin icodec in people with diabetes.
ADVANCED SEARCH
Log in
Top
Quality of Life Research
Published in: Quality of Life Research 2/2022

Open Access 01-02-2022

Response shift after coronary revascularization

Authors: Tom H. Oreel, Pythia T. Nieuwkerk, Iris D. Hartog, Justine E. Netjes, Alexander B. A. Vonk, Jorrit Lemkes, Hanneke W. M. van Laarhoven, Michael Scherer-Rath, José P. S. Henriques, Frans J. Oort, Mirjam A. G. Sprangers, Mathilde G. E. Verdam

Published in: Quality of Life Research | Issue 2/2022

Login to get access

Abstract

Purpose

The aims of this study were to investigate (1) the extent to which response shift occurs among patients with coronary artery disease (CAD) after coronary revascularization, (2) whether the assessment of changes in health-related quality of life (HRQoL), controlled for response shift, yield more valid estimates of changes in HRQoL, as indicated by stronger associations with criterion measures of change, than without controlling for response shift, and (3) if occurrences of response shift are related to patient characteristics.

Methods

Patients with CAD completed the SF-36 and the Seattle Angina Questionnaire (SAQ7) at baseline and 3 months after coronary revascularization. Sociodemographic, clinical and psychosocial variables were measured with the patient version of the New York Heart Association-class, Subjective Significance Questionnaire, Reconstruction of Life Events Questionnaire (RE-LIFE), and HEXACO personality inventory. Oort’s Structural Equation Modeling (SEM) approach was used to investigate response shift.

Results

191 patient completed questionnaires at baseline and at 3 months after treatment. The SF-36 showed recalibration and reprioritization response shift and the SAQ7 reconceptualization response shift. Controlling for these response shift effects did not result in more valid estimates of change. One significant association was found between reprioritization response shift and complete integration of having CAD into their life story, as indicated by the RE-LIFE.

Conclusion

Results indicate response shift in HRQoL following coronary revascularization. While we did not find an impact of response shift on the estimates of change, the SEM approach provides a more comprehensive insight into the different types of change in HRQoL following coronary revascularization.
Appendix
Available only for authorised users
Literature
1.
Xie, J., Wu, E. Q., Zheng, Z.-J., Sullivan, P. W., Zhan, L., & Labarthe, D. R. (2008). Patient-reported health status in coronary heart disease in the United States. Circulation, 118(5), 491–497.PubMedCrossRef
2.
Benzer, W., Höfer, S., & Oldridge, N. B. (2003). Health-related quality of life in patients with coronary artery disease after different treatments for angina in routine clinical practice. Herz, 28(5), 421–428.PubMedCrossRef
3.
Kulik, A. (2017). Quality of life after coronary artery bypass graft surgery versus percutaneous coronary intervention: What do the trials tell us? Current Opinion in Cardiology, 32(6), 707–714.PubMedCrossRef
4.
Graham, M. M., Norris, C. M., Galbraith, P. D., Knudtson, M. L., & Ghali, W. A. (2006). Quality of life after coronary revascularization in the elderly. European Heart Journal, 27(14), 1690–1698.PubMedCrossRef
5.
Loponen, P., Luther, M., Korpilahti, K., Wistbacka, J.-O., Huhtala, H., Laurikka, J., et al. (2009). HRQoL after coronary artery bypass grafting and percutaneous coronary intervention for stable angina. Scandinavian Cardiovascular Journal, 43(2), 94–99.PubMedCrossRef
6.
Wong, M. S., & Chair, S. Y. (2007). Changes in health-related quality of life following percutaneous coronary intervention: A longitudinal study. International Journal of Nursing Studies, 44(8), 1334–1342.PubMedCrossRef
7.
Borkon, A. M., Muehlebach, G. F., House, J., Marso, S. P., & Spertus, J. A. (2002). A comparison of the recovery of health status after percutaneous coronary intervention and coronary artery bypass. The Annals of Thoracic Surgery, 74(5), 1526–1530.PubMedCrossRef
8.
Sprangers, M. A. G., & Schwartz, C. E. (1999). Integrating response shift into health-related quality of life research: A theoretical model. Social Science & Medicine, 48(11), 1507–1515.CrossRef
9.
Sajobi, T. T., Wang, M., Awosoga, O., Santana, M., Southern, D., Liang, Z., et al. (2018). Trajectories of health-related quality of life in coronary artery disease. Circulation: Cardiovascular Quality and Outcomes, 11(3), e003661.
10.
Schwartz, C. E., & Sprangers, M. A. G. (1999). Methodological approaches for assessing response shift in longitudinal health-related quality-of-life research. Social Science & Medicine, 48, 1531–1548.CrossRef
11.
Oort, F. J. (2005). Using structural equation modeling to detect response shifts and true change. Quality of Life Research, 14(3), 587–598.PubMedCrossRef
12.
Cohen, D. J., Van Hout, B., Serruys, P. W., Mohr, F. W., Macaya, C., Den Heijer, P., et al. (2011). Quality of life after PCI with drug-eluting stents or coronary-artery bypass surgery. New England Journal of Medicine, 364(11), 1016–1026.CrossRef
13.
Windle, G., Markland, D. A., & Woods, R. T. (2008). Examination of a theoretical model of psychological resilience in older age. Aging and Mental Health, 12(3), 285–292.PubMedCrossRef
14.
Casetta, I., Riise, T., Wamme Nortvedt, M., Economou, N. T., De Gennaro, R., Fazio, P., et al. (2009). Gender differences in health-related quality of life in multiple sclerosis. Multiple Sclerosis Journal, 15(11), 1339–1346.PubMedCrossRef
15.
Hartog, I., Scherer-Rath, M., Kruizinga, R., Netjes, J., Henriques, J., Nieuwkerk, P., et al. (2020). Narrative meaning making and integration: Toward a better understanding of the way falling ill influences quality of life. Journal of Health Psychology, 25(6), 738–754.PubMedCrossRef
16.
Lee, K., & Ashton, M. C. (2004). Psychometric properties of the HEXACO personality inventory. Multivariate Behavioral Research, 39(2), 329–358.PubMedCrossRef
17.
Gunthert, K. C., Cohen, L. H., & Armeli, S. (1999). The role of neuroticism in daily stress and coping. Journal of Personality and Social Psychology, 77(5), 1087.PubMedCrossRef
18.
Lee, K., & Ashton, M. C. (2018). Psychometric properties of the HEXACO-100. Assessment, 25(5), 543–556.PubMedCrossRef
19.
Shakespeare-Finch, J., Gow, K., & Smith, S. (2005). Personality, coping and posttraumatic growth in emergency ambulance personnel. Traumatology, 11(4), 325–334.CrossRef
20.
Ware, J. E., Jr., & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical Care, 30, 473–483.PubMedCrossRef
21.
Chan, P. S., Jones, P. G., Arnold, S. A., & Spertus, J. A. (2014). Development and validation of a short version of the Seattle angina questionnaire. Circulation Cardiovascular Quality and Outcomes, 7(5), 640–647.PubMedPubMedCentralCrossRef
22.
Osoba, D., Rodrigues, G., Myles, J., Zee, B., & Pater, J. (1998). Interpreting the significance of changes in health-related quality-of-life scores. Journal of Clinical Oncology, 16(1), 139–144.PubMedCrossRef
23.
Schoormans, D., Mager, Y. L., Oort, F. J., Sprangers, M. A. G., & Mulder, B. J. (2012). New York Heart Association class assessment by cardiologists and outpatients with congenital cardiac disease: A head-to-head comparison of three patient-based versions. Cardiology in the Young, 22(1), 26–33.PubMedCrossRef
24.
Levin, R., Dolgin, M., Fox, C., & Gorlin, R. (1994). The Criteria Committee of the New York Heart Association: Nomenclature and criteria for diagnosis of diseases of the heart and great vessels. LWW Handbooks, 9, 344.
25.
De Vries, R. E., & Born, M. P. (2013). De Vereenvoudigde HEXACO Persoonlijkheidsvragenlijst en een additioneel interstitieel Proactiviteitsfacet. Gedrag & Organisatie, 26(2), 223–245.
26.
Rosseel, Y. (2012). Lavaan: An R package for structural equation modeling and more. Version 0.5–12 (BETA). Journal of Statistical Software, 48(2), 1–36.CrossRef
27.
Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230–258.CrossRef
28.
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238.PubMedCrossRef
29.
Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53–60.
30.
Hu, L., & 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
31.
Verdam, M. G. E., Oort, F. J., & Sprangers, M. A. G. (2021). Using structural equation modeling to investigate change and response shift in patient-reported outcomes: Practical considerations and recommendations. Quality of Life Research, 30, 1293–1304.PubMedPubMedCentralCrossRef
32.
Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Sociological Methods & Research, 17(3), 303–316.CrossRef
33.
Verdam, M. G. E., Oort, F. J., & Sprangers, M. A. G. (2017). Structural equation modeling–based effect-size indices were used to evaluate and interpret the impact of response shift effects. Journal of Clinical Epidemiology, 85, 37–44.PubMedCrossRef
34.
Cohen, J. (1992). Statistical power analysis. Current Directions in Psychological Science, 1(3), 98–101.CrossRef
35.
McArdle, J. J., & Hamagami, F. (2001). Latent difference score structural models for linear dynamic analyses with incomplete longitudinal data. Washington: American Psychological Association.CrossRef
36.
McArdle, J. J., & Nesselroade, J. R. (1994). Using multivariate data to structure developmental change. Life-span developmental psychology: Methodological contributions (pp. 223–267). Lawrence Erlbaum Associates.
37.
Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford Publications.
38.
Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16.CrossRef
39.
Gandhi, P. K., Ried, L. D., Huang, I.-C., Kimberlin, C. L., & Kauf, T. L. (2013). Assessment of response shift using two structural equation modeling techniques. Quality of Life Research, 22(3), 461–471.PubMedCrossRef
40.
Nakas, G., Bechlioulis, A., Marini, A., Vakalis, K., Bougiakli, M., Giannitsi, S., et al. (2019). The importance of characteristics of angina symptoms for the prediction of coronary artery disease in a cohort of stable patients in the modern era. Hellenic Journal of Cardiology, 60(4), 241–246.PubMedCrossRef
41.
Zhang, P., Xing, F. M., Li, C. Z., Wang, F. L., & Zhang, X. L. (2018). Effects of a nurse-led transitional care programme on readmission, self-efficacy to implement health-promoting behaviours, functional status and life quality among Chinese patients with coronary artery disease: A randomised controlled trial. Journal of Clinical Nursing, 27(5–6), 969–979.PubMedCrossRef
42.
Schwartz, C. E., Bode, R., Repucci, N., Becker, J., Sprangers, M. A. G., & Fayers, P. M. (2006). The clinical significance of adaptation to changing health: A meta-analysis of response shift. Quality of Life Research, 15(9), 1533–1550.PubMedCrossRef
43.
King-Kallimanis, B. L., Oort, F. J., Visser, M., & Sprangers, M. A. G. (2009). Structural equation modeling of health-related quality-of-life data illustrates the measurement and conceptual perspectives on response shift. Journal of Clinical Epidemiology, 62(11), 1157–1164.PubMedCrossRef
Metadata
Title
Response shift after coronary revascularization
Authors
Tom H. Oreel
Pythia T. Nieuwkerk
Iris D. Hartog
Justine E. Netjes
Alexander B. A. Vonk
Jorrit Lemkes
Hanneke W. M. van Laarhoven
Michael Scherer-Rath
José P. S. Henriques
Frans J. Oort
Mirjam A. G. Sprangers
Mathilde G. E. Verdam
Publication date
01-02-2022
Publisher
Springer International Publishing
Published in
Quality of Life Research / Issue 2/2022
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-021-02902-5

Other articles of this Issue 2/2022

Quality of Life Research 2/2022 Go to the issue

Review

The impact of acute pneumococcal disease on health state utility values: a systematic review

OriginalPaper

Associations between suicidal ideation and health-related quality of life among community-dwelling stroke survivors: 2013–2017 Korea National Health and Nutrition Examination Survey

OriginalPaper

The impact of multimorbidity patterns on health-related quality of life in the general population: results of the Belgian Health Interview Survey

OriginalPaper

Does depression in multiple sclerosis mediate effects of cognitive functioning on quality of life?

OriginalPaper

Psychometric examination of short forms from the University of Washington pain-related self-efficacy and concerns about pain item banks in patients with low back pain

OriginalPaper

Investigation of measurement invariance in longitudinal health-related quality of life in preemptive or previously dialyzed kidney transplant recipients