Literature DB >> 30604342

Measuring subjective wellbeing in patients with heart disease: relationship and comparison between health-related quality of life instruments.

Lan Gao1,2,3,4, Marj Moodie5,6, Gang Chen7.   

Abstract

PURPOSES: This study aimed to validate the use of subjective wellbeing (SWB) in patients with heart disease, to explore the complementary vs substitute relationship between SWB and health status utility (HSU), and to reveal which life domains matter for patients with heart disease compared to healthy persons.
METHODS: Data were obtained from a large multi-national, multi-instrument comparison survey. Subjective wellbeing instruments (ONS4, PWI, SWLS), health status utility instruments (15D, AQoL-8D, EQ-5D-5L, HUI3 and SF-6D) and a disease-specific quality of life instrument (MacNew) were administered among patients with heart disease (N = 943). Validity and sensitivity of SWBs were studied. Exploratory factor analysis (EFA) was performed to examine the difference in descriptive systems between the SWB, HSU and MacNew. The importance of life domain satisfaction in explaining overall life satisfaction was investigated using regression analysis.
RESULTS: The known-group analysis showed that both SWB and HSU scores differed according to changes in the severity of heart disease. EFA showed that SWB and HSU were generally complementary instruments. The life domains that were significantly important to patients with heart disease were standard of living, followed by achieving in life, personal relationships, personal health, and future security. Compared to the healthy public, personal health and future security were significantly more important life domains.
CONCLUSIONS: Assessing SWB provides complementary information on understanding heart patients' subjective outcome over the use of quality of life instruments alone. Given the adverse psychological impact of heart disease, addressing the important domain revealed by SWB assessment in management planning should be considered.

Entities:  

Keywords:  Health status utility; Health-related quality of life; Heart disease; MacNew; Subjective wellbeing

Mesh:

Year:  2019        PMID: 30604342     DOI: 10.1007/s11136-018-2094-y

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


  7 in total

1.  Health-Related Quality of Life and Its Influencing Factors in Patients with Coronary Heart Disease in China.

Authors:  Lei Dou; Zhuxin Mao; Qiang Fu; Gang Chen; Shunping Li
Journal:  Patient Prefer Adherence       Date:  2022-03-25       Impact factor: 2.711

2.  A Cognitive Behavioral Therapy Chatbot (Otis) for Health Anxiety Management: Mixed Methods Pilot Study.

Authors:  Yenushka Goonesekera; Liesje Donkin
Journal:  JMIR Form Res       Date:  2022-10-20

3.  Filling the psycho-social gap in the EQ-5D: the empirical support for four bolt-on dimensions.

Authors:  Gang Chen; Jan Abel Olsen
Journal:  Qual Life Res       Date:  2020-07-09       Impact factor: 4.147

4.  Psychometric properties of the EQ-5D-5L: a systematic review of the literature.

Authors:  You-Shan Feng; Thomas Kohlmann; Mathieu F Janssen; Ines Buchholz
Journal:  Qual Life Res       Date:  2020-12-07       Impact factor: 4.147

5.  Health-related quality of life in adults with profound postlingual hearing loss before and after cochlear implantation.

Authors:  Joanna Rostkowska; Piotr Henryk Skarzynski; Joanna Kobosko; Elzbieta Gos; Henryk Skarzynski
Journal:  Eur Arch Otorhinolaryngol       Date:  2021-06-08       Impact factor: 2.503

6.  Family care and subjective well-being of coronary heart disease patients after percutaneous coronary intervention: Mediating effects of coping strategies.

Authors:  Li-Xia Liang; Yu Liu; Ya-Jie Shi; Tong-Tong Jiang; Hong-Ru Zhang; Bing-Han Liu; Peng-Zhu Xu; Tie-Ying Shi
Journal:  Int J Nurs Sci       Date:  2021-09-18

7.  Extending the EQ-5D: the case for a complementary set of 4 psycho-social dimensions.

Authors:  Gang Chen; Jan Abel Olsen
Journal:  Qual Life Res       Date:  2022-09-20       Impact factor: 3.440

  7 in total

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