TY - JOUR
T1 - Development of a preference-based heart disease-specific health state classification system using MacNew heart disease-related quality of life instrument
AU - Kularatna, Sanjeewa
AU - Rowen, Donna
AU - Mukuria, Clara
AU - McPhail, Steven
AU - Chen, Gang
AU - Mulhern, Brendan
AU - Whitty, Jennifer A.
AU - Byrnes, Joshua
AU - Scuffham, Paul
AU - Atherton, John
AU - Höfer, Stefan
AU - Parsonage, William
N1 - Funding Information:
We thank Cardiology Department, Royal Brisbane and Women’s Hospital for the data collection support and our colleagues Ms Sara Baniahmadi for data collection, Dr. Sameera Senanayake for data cleaning and data management, and Ms Carly Dyer for conducting qualitative interviews. We sincerely appreciate the support of the patients who participated in the study and staff of the Cardiology department in validating the instrument, and the Heart Failure patient advocacy group for their valuable insights. J.A. Whitty is supported by the National Institute for Health Research (NIHR) Applied Research Collaboration (ARC) East of England. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.
Funding Information:
This study was funded by Australian Heart Foundation Vanguard grant (2016/101407) and Heart Foundation post-doctoral fellowship for Dr. Kularatna.
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2022
Y1 - 2022
N2 - Purpose: The MacNew Heart Disease Health-Related Quality of Life Instrument (MacNew) is a validated, clinically sensitive, 27-item disease-specific questionnaire. This study aimed to develop a new heart disease-specific classification system for the MacNew amenable for use in health state valuation. Methods: Patients with heart disease attending outpatient clinics and inpatient wards in Brisbane, Australia, completed MacNew. The development of the new disease-specific classification system included three stages. First, a principal component analysis (PCA) established dimensionality. Second, Rasch analysis was used to select items for each dimension. Third, Rasch analysis was used to explore response-level reduction. In addition, clinician and patient judgement informed item selection. Results: Participants included 685 patients (acute coronary 6%, stable coronary 41%, chronic heart failure 20%). The PCA identified 4 dimensions (restriction, emotion, perception of others, and symptoms). The restriction dimension was divided into physical and social dimensions. One item was selected from each to be included in the classification system. Three items from the emotional dimension and two symptom items were also selected. The final classification system had seven dimensions with four severity levels in each: physical restriction; excluded from doing things with other people; worn out or low in energy; frustrated, impatient or angry; unsure and lacking in self-confidence; shortness of breath; and chest pain. Conclusion: This study generated a brief heart disease-specific classification system, consisting of seven dimensions with four severity levels in each. The classification system is amenable to valuation to enable the generation of utility value sets to be developed for use in economic evaluation.
AB - Purpose: The MacNew Heart Disease Health-Related Quality of Life Instrument (MacNew) is a validated, clinically sensitive, 27-item disease-specific questionnaire. This study aimed to develop a new heart disease-specific classification system for the MacNew amenable for use in health state valuation. Methods: Patients with heart disease attending outpatient clinics and inpatient wards in Brisbane, Australia, completed MacNew. The development of the new disease-specific classification system included three stages. First, a principal component analysis (PCA) established dimensionality. Second, Rasch analysis was used to select items for each dimension. Third, Rasch analysis was used to explore response-level reduction. In addition, clinician and patient judgement informed item selection. Results: Participants included 685 patients (acute coronary 6%, stable coronary 41%, chronic heart failure 20%). The PCA identified 4 dimensions (restriction, emotion, perception of others, and symptoms). The restriction dimension was divided into physical and social dimensions. One item was selected from each to be included in the classification system. Three items from the emotional dimension and two symptom items were also selected. The final classification system had seven dimensions with four severity levels in each: physical restriction; excluded from doing things with other people; worn out or low in energy; frustrated, impatient or angry; unsure and lacking in self-confidence; shortness of breath; and chest pain. Conclusion: This study generated a brief heart disease-specific classification system, consisting of seven dimensions with four severity levels in each. The classification system is amenable to valuation to enable the generation of utility value sets to be developed for use in economic evaluation.
UR - http://www.scopus.com/inward/record.url?scp=85106495481&partnerID=8YFLogxK
U2 - 10.1007/s11136-021-02884-4
DO - 10.1007/s11136-021-02884-4
M3 - Article
C2 - 34037917
AN - SCOPUS:85106495481
VL - 31
SP - 257
EP - 268
JO - Quality of Life Research
JF - Quality of Life Research
SN - 0962-9343
ER -