WHOQOL-BREF among Singaporean Patients with Type II Diabetes Mellitus: What Does It Measure?

Tan Luor Shyuan Maudrene *

Saw Swee Hock School of Public Health, National University of Singapore, Singapore.

Bautista Dianne Carrol Tan

Center for Quantitative Medicine, Duke NUS Graduate Medical School, Singapore and Singapore Clinical Research Institute, Singapore.

Khoo Eric Yin Hao

Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Griva Konstadina

Department of Psychology, National University of Singapore, Singapore.

New Michelle

Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Amir Mohammad

Department of Psychology, National University of Singapore, Singapore.

Lee Yung Seng

Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore and KTP-National University Children's Medical Institute, National University Hospital, Singapore and Singapore Institute for Clinical Sciences, A*STAR, Singapore.

Lee Jeannette

Saw Swee Hock School of Public Health, National University of Singapore, Singapore.

Tai E Shyong

Saw Swee Hock School of Public Health, National University of Singapore, Singapore and Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Wee Hwee Lin

Department of Pharmacy, National University of Singapore, Singapore.

*Author to whom correspondence should be addressed.


Abstract

Aims: Health-related quality of life (HRQoL) of Type 2 diabetes mellitus (T2DM) is a growing concern globally given the increase in T2DM prevalence. Generic HRQoL instruments are important to allow cross-cultural, cross-population and cross-study comparisons. The short version of the World Health Organization Quality of Life (WHOQOL-BREF) questionnaire is a widely used generic questionnaire. Hence, we aimed to evaluate the psychometric properties of the WHOQOL-BREF among patients with T2DM in Singapore.
Study Design: Patients at a diabetes outpatient specialist clinic in Singapore were recruited via convenience sampling. Classical Test Theory methods were used to evaluate data quality, scaling assumptions, targeting, internal consistency reliability and construct validity (structural, convergent and discriminant) and criterion validity using HbA1c control (good versus poor). Principal Component Analyses (PCA) and Confirmatory Factory Analyses (CFA) were performed to assess unidimensionality (domain-level) as well as conformity with the original four-factor structure. Exploratory Factor Analysis (EFA) was done if CFA indicated lack of fit.
Results: 212 subjects were analyzed of whom 50% were Chinese, 28% Indians, 11% Malays and 10% others. 63% were males with mean (SD) age 45.8 (11.9) years. Data quality was superior, scaling assumptions were met, targeting was satisfactory and internal consistency was achieved. PCAs were compatible with unidimensionality, except in the Physical domain. Domain level CFA indicated that unidimensionality had poor fit and overall CFA did not support the original 4-factor structure. EFA runs showed that the Physical and Environment domains overlapped while the Social and Psychological domains could not be recovered. Therefore construct (structural) validity was not established. Criterion validity was not achieved as all domains could not discriminate between those with good versus poor HbA1c control.
Conclusion: Construct and criterion validity of WHOQOL-BREF posed some concerns. Thus, we recommend that an adequately-powered random sample of T2DM patients in Singapore be studied to confirm the findings of our study.

Keywords: Diabetes mellitus, reliability, validity, health-related quality of life, quality of life, Singapore, Asia.


How to Cite

Maudrene, Tan Luor Shyuan, Bautista Dianne Carrol Tan, Khoo Eric Yin Hao, Griva Konstadina, New Michelle, Amir Mohammad, Lee Yung Seng, Lee Jeannette, Tai E Shyong, and Wee Hwee Lin. 2014. “WHOQOL-BREF Among Singaporean Patients With Type II Diabetes Mellitus: What Does It Measure?”. Journal of Advances in Medicine and Medical Research 4 (17):3293-3316q. https://doi.org/10.9734/BJMMR/2014/9054.

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