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Health and Quality of Life Outcomes

Open Access

The discriminative power of the EuroQol visual analog scale is sensitive to survey language in Singapore

  • Nan Luo1Email author,
  • Sheng-Qun Cang2,
  • Hui-Min Joanne Quah3,
  • Choon-How How3 and
  • Ee Guan Tay3
Health and Quality of Life Outcomes201210:32

https://doi.org/10.1186/1477-7525-10-32

Received: 10 March 2011

Accepted: 20 March 2012

Published: 20 March 2012

Abstract

Background

Existing evidence for validity of the visual analog scale of the EQ-5D-3L questionnaire (EQ-VAS) is weak in Chinese-speaking respondents in Singapore. We therefore investigated the validity of the Chinese (Singapore) version of EQ-VAS in patients with diabetes.

Methods

In a cross-sectional survey, patients with type 2 diabetes seen in a primary care facility completed an identical Chinese or English questionnaire containing the EQ-5D-3L and questions assessing other health and disease-related characteristics. Convergent and known-groups validity of the EQ-VAS was examined for Chinese- and English-speaking respondents separately.

Results

The EQ-VAS was correlated with the EQ-5D-3L health index and a 5-point Likert-type scale for assessing global health in both Chinese-speaking (N = 335) and English-speaking respondents (N = 298), suggesting convergent validity. The mean EQ-VAS scores differed between English-speaking patients with differing duration of diabetes (< 10 years versus ≥ 10 years), comorbidity status (absence versus presence), and complications of diabetes (absence versus presence), providing evidence for known-groups validity. However, the EQ-VAS scores for Chinese-speaking respondents known to differ in these characteristics were similar, even among subgroups of relatively younger patients or those with formal school education.

Conclusions

Chinese- and English-speaking Singaporeans respond differently to the EQ-VAS. The Chinese version of EQ-VAS appears less sensitive than its English version for measuring global health in patient populations in Singapore.

Keywords

Visual analog scaleEQ-5D-3LKnown-groups validity

Introduction

The visual analog scale (VAS) in the EQ-5D-3L self-report questionnaire [1] is a single-item measure of global health that has demonstrated satisfactory psychometric properties in many populations [25]. However, the Chinese version of the EQ-VAS exhibited weak construct validity in Singapore, a multi-ethnic urban country in South-East Asia. In two previous studies in Singapore [6, 7], expected associations between the EQ-VAS and other health or clinical measures were not observed among patients with rheumatic or Parkinson' disease who completed the Chinese EQ-5D-3L questionnaire; in contrast, the English version of the EQ-VAS showed good construct validity in the same studies [7, 8]. Hence, validity of the EQ-VAS among Chinese-speaking Singaporeans warrants further investigation.

The purpose of the present study was to investigate the construct validity of the EQ-VAS in Chinese-speaking patients with type 2 diabetes using data collected in a health survey of such patients in Singapore. Performance of the English version of the EQ-VAS was also assessed and served as a reference in this study.

Methods

Patients and procedures

Outpatients with type 2 diabetes visiting one of the 8 SingHealth Polyclinics over the period of the 6th to 12th January 2009 were recruited for this study using a systematic sampling method. Inclusion criteria were age of 21 years or older, a diagnosis of type 2 diabetes mellitus, and ability to communicate and give informed consent.

All patients going for HbA1c test were assessed for eligibility by trained year-3 medical students. Consenting patients were asked to complete a survey form in the waiting area of the clinics containing the EQ-5D-3L questionnaire, a question for self-assessment of global health, and questions assessing demographic, clinical, and health characteristics. Identical English and Chinese questionnaires were prepared for patients to choose at their own preference. Patients could choose to complete the questionnaire by themselves or through an interviewer.

Outcome measures

The EQ-5D-3L questionnaire has two pages. Page one is for respondents to report whether they have no, moderate, or extreme problems in mobility, self-care, usual activities, pain/discomfort, and anxiety/depression on the day of survey. An index score ranging from -0.594 to 1.0 (0 = dead; 1.0 = full health) can be calculated from the answers to represent the value of a respondent's health status [9]. The second page is the EQ-VAS for respondents to assess their 'own health state today'. It is a hash-marked, vertical VAS numbered with 0, 10, 20, 30,..., 80, 90, 100 from bottom (0) to top (100). The labels of 'worst/best imaginable health state' are attached to the bottom and top of the scale, respectively.

The question for self-assessment of global health was phrased as 'In general, how would you say your health is?' The response options were 'excellent', 'very good', 'good', 'fair', and 'poor'.

Data analysis

Convergent validity of the EQ-VAS was assessed according to its correlation with the EQ-5D-3L index and self-assessment of global health. Known-groups validity was evaluated by comparing subgroups of patients known to differ in health status [10]. We hypothesized that the EQ-VAS score would be lower in patients known to have 'worse' health than those had 'better' health. The known groups were defined according to body mass index (non-obese versus obese), duration of diabetes (< 10 years versus 10 or more years), diabetes-related complications (absence versus presence), and comorbid chronic conditions (absence versus presence). Data collected from Chinese and English questionnaires were analyzed separately to assess the validity of both versions of the EQ-VAS. Additionally, in order to examine the possible effects of age and education on the known-groups validity of the Chinese VAS, we assessed the above-mentioned known groups for younger (defined as age < 70 years) and older (defined as age ≥ 70 years) patients separately and for patients with no formal education and those with formal education separately. We hypothesized that the EQ-VAS would be more discriminative among patients of younger age and those with formal education.

Differences in EQ-VAS scores between known-groups were quantified using linear regression models. Socio-demographic characteristics such as age, gender, ethnicity, employment status, education, and survey mode (interviewer-administration versus self-completion), whenever appropriate, were included into the models as independent variables to adjust for their effects on the EQ-VAS score. All statistical tests were two-sided and performed with SAS for Windows (Version 9.2, SAS Institute INC., Cary NC, USA).

Results

A total of 335 and 298 participants completed the survey in Chinese and English, respectively. Demographic and health characteristics of the study sample are displayed in Table 1. Compared to participants who completed the survey in Chinese, participants completing the survey in English were younger, better educated, and more likely to be females and employed. Accordingly, more Chinese- than English-speaking patients reported one or more comorbidities (80.9% versus 70.8%, p = 0.003) and rated their health as 'fair' or 'poor' (38.8% versus 27.6%, p = 0.003). The majority of patients chose to complete the survey through an interviewer, although a larger proportion of English-speaking patients than Chinese-speaking patients completed the survey by themselves (29.2% versus 5.1%, p < 0.001).
Table 1

Characteristics of Patients

 

Patients completing the Chinese EQ-5D-3L (N = 335)

Patients completing the English EQ-5D-3L (N = 298)

P value

Age at survey, mean(SD)

65.9 (9.0)

59.2 (10.8)

< 0.001

Male, N (%)

144 (43.1)

157 (53.2)

0.011

Ethnicity, N (%)

   

   Chinese

335 (100)

166 (56.1)

< 0.001

   Malay/India/other

0 (0)

130 (43.9)

 

Employment status, N (%)

   

   Employed

99 (29.6)

140 (47.3)

< 0.001

   Retired

139 (41.5)

86 (29.1)

 

   Housekeeper/unemployed

97 (28.9)

70 (23.6)

 

Education attainment, N (%)

   

   No formal qualifications

134 (40.4)

31 (10.5)

< 0.001

   Primary school education

121 (36.4)

59 (20.1)

 

   Secondary school education

61 (18.4)

117 (39.8)

 

   Tertiary education

16 (4.8)

87 (29.6)

 

BMI category

   

   Non-obese (BMI < 30), N (%)

280 (87.0)

233 (81.2)

0.122

   Obese (BMI ≥ 30), N (%)

42 (13.0)

54 (18.8)

 

Duration of diabetes

   

   < 10 years, N (%)

180 (45.9)

168 (56.9)

0.466

   ≥ 10 years, N (%)

153 (54.1)

127 (43.1)

 

Presence of 1 or more diabetes-related complications, N (%)

144 (43.0)

112 (37.6)

0.167

Presence of 1 or more comorbidities, N (%)

271 (80.9)

211 (70.8)

0.003

Self-reported global heath

   

   Excellent/very good/good

205 (61.2)

215 (72.4)

0.003

   Fair/poor

130 (38.8)

82 (27.6)

 

EQ-VAS, mean (SD)

68.9 (16.7)

69.9 (16.8)

0.498

EQ-5D-3L index score, mean(SD)

0.86 (0.18)

0.87 (0.19)

0.519

Administration mode

   

   Self-completion

17 (5.1)

87 (29.2)

< 0.001

   Interviewer-administered

318 (94.9)

211 (70.8)

 

Notes: complications were conditions or diseases related to diabetes including stroke, ischemic heart disease, kidney disease, peripheral neuropathy, peripheral vascular disease, and eye disease; comorbidities included cancer, arthritis, hypertension, high blood cholesterol, asthma, lung conditions, liver conditions, mental disorders, urological disease, and ear, nose or throat diseases.

For Chinese-speaking patients, the EQ-VAS was correlated with the EQ-5D-3L index (Spearman's correlation coefficient: 0.27) and self-assessed global health (Spearman's correlation coefficient: -0.51), suggesting convergent validity. However, there was no statistical difference in EQ-VAS scores between subgroups of patients known to differ in BMI, duration of diabetes, complication status, or comorbidity status in both univariate and multivariate analysis, suggesting poor known-groups validity (Table 2). For example, the multiple regression analysis showed that the difference in EQ-VAS score between patients with and without any comorbidity was 1.7 (p > 0.05, t-test) after adjusting for socio-demographic status. Subgroup analyses suggested that known-groups validity was not better among patients with formal education than those without formal education (Table 3), or among younger patients than older patients (Table 4).
Table 2

Comparison of EQ-VAS Scores between Subgroups with Different Health Status: by Survey Language

 

Patients completing the Chinese

EQ-5D-3L

Patients completing the English

EQ-5D-3L

 

N

Mean (SD)

Adjusted difference*

(p-value)

N

Mean (SD)

Adjusted difference*

(p-value)

BMI (kg/m2)

      

< 30

280

69.0 (16.5)

-1.4

233

70.7 (16.4)

3.0

≥ 30

42

70.7 (17.6)

(0.612)

54

67.6 (16.4)

(0.241)

Duration of DM

      

< 10 years

180

69.7 (17.7)

1.1

168

72.8 (15.1)

5.8

≥ 10 years

153

68.1 (15.1)

(0.564)

127

66.8 (17.5)

(0.003)

Presence of complications

No

188

70.7 (17.5)

3.6

184

73.4 (14.2)

7.8

Yes

144

67.0 (15.4)

(0.057)

112

65.0 (18.3)

(< 0.001)

Presence of comorbidities

No

61

68.4 (17.8)

-1.7

85

75.6 (15.4)

6.8

Yes

271

69.2 (16.4)

(0.493)

211

68.0 (16.3)

(0.002)

Notes: complications were conditions or diseases related to diabetes including stroke, ischemic heart disease, kidney disease, peripheral neuropathy, peripheral vascular disease, and eye disease; comorbidities included cancer, arthritis, hypertension, high blood cholesterol, asthma, lung conditions, liver conditions, mental disorders, urological disease, and ear, nose or throat diseases. * values are regression coefficients in multiple linear regression models in which the effects of administration mode, age, gender, employment status, and education using linear regression models are adjusted for.

Table 3

Comparison of EQ-VAS Scores between Subgroups with Different Health Status: by Education Level for Patients Completing the Chinese EQ-5D-3L

 

No formal education (N = 134)

With formal education (N = 198)

 

N

Mean (SD)

Adjusted difference*

(p-value)

N

Mean (SD)

Adjusted difference*

(p-value)

BMI (kg/m2)

      

< 30

109

69.5 (17.1)

1.4

170

68.8 (16.1)

-4.1

≥ 30

18

66.9 (18.6)

(0.754)

24

73.5 (16.7)

(0.257)

Duration of DM

      

< 10 years

65

70.8 (18.0)

4.5

114

69.3 (17.1)

-1.4

≥ 10 years

69

66.4 (16.3)

(0.143)

84

69.5 (15.3)

(0.579)

Presence of complication

      

No

74

69.4 (18.9)

1.9

114

71.5 (16.7)

4.0

Yes

60

67.6 (14.9)

(0.538)

84

66.5 (15.3)

(0.104)

Presence of comorbidities

      

No

21

63.3 (14.5)

-6.0

40

71.0 (18.9)

0.9

Yes

113

69.5 (17.5)

(0.166)

158

68.9 (15.6)

(0.771)

Notes: complications were conditions or diseases related to diabetes including stroke, ischemic heart disease, kidney disease, peripheral neuropathy, peripheral vascular disease, and eye disease; comorbidities included cancer, arthritis, hypertension, high blood cholesterol, asthma, lung conditions, liver conditions, mental disorders, urological disease, and ear, nose or throat diseases. * values are regression coefficients in multiple linear regression models in which the effects of administration mode, age, gender, employment status, and education using linear regression models are adjusted for.

Table 4

Comparison of EQ-VAS Scores between Subgroups with Different Health Status: by Age Group for Patients Completing the Chinese EQ-5D-3L

  

< 70 years (N = 211)

 

70 years or older (N = 124)

 

N

Mean (SD)

Adjusted difference*

(p-value)

N

Mean (SD)

Adjusted difference*

(p-value)

BMI (kg/m2)

      

< 30

173

70.2 (16.7)

0.0

107

67.1 (16.0)

-5.1

≥ 30

32

70.8 (16.7)

(0.997)

10

70.4 (21.3)

(0.354)

Duration of DM

      

< 10 years

130

70.6 (17.6)

1.3

50

67.4 (17.0)

0.4

≥ 10 years

81

68.9 (15.3)

(0.584)

72

67.2 (16.4)

(0.897)

Presence of complication

    

No

137

71.3 (17.3)

3.3

51

69.0 (18.4)

1.7

Yes

73

67.8 (15.3)

(0.185)

71

66.1 (15.1)

(0.589)

Presence of comorbidities

    

No

47

68.0 (18.7)

-3.4

14

69.6 (15.1)

-0.2

Yes

163

70.7 (16.0)

(0.239)

108

67.0 (16.8)

(0.964)

Notes: complications were conditions or diseases related to diabetes including stroke, ischemic heart disease, kidney disease, peripheral neuropathy, peripheral vascular disease, and eye disease; comorbidities included cancer, arthritis, hypertension, high blood cholesterol, asthma, lung conditions, liver conditions, mental disorders, urological disease, and ear, nose or throat diseases. * values are regression coefficients in multiple linear regression models in which the effects of administration mode, age, gender, employment status, and education using linear regression models are adjusted for.

In contrast, the EQ-VAS demonstrated both convergent and known-groups validity among patients who elected to complete the survey in English. Spearman's correlation coefficient was 0.31 between the EQ-VAS and EQ-5D-3L index and -0.56 between the EQ-VAS and self-assessed global health. Patients with 1 or more diabetes-related complications or comorbidities had lower EQ-VAS scores than those without such conditions, and patients who had diabetes for < 10 years had higher EQ-VAS scores than those who had diabetes for 10 or more years. Those differences were statistically significant even after controlling for the effect of socio-demographic status in the multiple regression models (Table 2). It was also as hypothesized that non-obese patients had higher EQ-VAS scores than obese patients, although the difference was not statistically significant. It should be noted that the magnitude of the mean differences between the comparison groups was not larger (range: 3.0 to 7.8)

Discussion

In the present study, the EQ-VAS exhibited poor known-groups validity among Chinese-speaking patients with diabetes, although convergent validity was demonstrated by correlations between the EQ-VAS and two other measures of overall health. In contrast, both convergent and known-groups validity were observed for the English EQ-VAS. Similar results were also observed for the EQ-VAS in patients with rheumatic diseases [6], Parkinson's disease [7], and breast cancer (Yin-Bun Cheung, personal communication). Therefore, it appears that the Chinese EQ-VAS is not a sensitive measure for self-assessment of overall health in Singaporean patient populations. To the best of our knowledge, no previous studies questioned the sensitivity of the EQ-VAS in specific or the visual analog scale in general.

Our finding from the present study has some important implications. First, our study highlighted the importance of psychometric testing for health-status instruments. Good measurement properties of an instrument in one population may not necessarily be generalized to other populations especially those multi-cultural populations. This is true even for widely used simple instruments such as the VAS. Herdman et al. pointed out that measurement equivalence across language versions should be examined in cross-cultural application of health-related quality of life instruments [11]. Second, our study suggested that the EQ-VAS is not a sensitive measure for Chinese-speaking patients in Singapore. Although being a valid measure, the EQ-VAS may not be able to detect true differences between groups when such differences are small. When a measure for overall health is needed for this population, the EQ-5D-3L index may a better choices as it demonstrated better known-groups validity in the present study (see Table 5). Third, we can reasonably suspect that other variants of the VAS used in clinical research or practice in Singapore may suffer from similar problems when they are applied to Chinese-speaking patients. Since no previous studies have looked into the psychometric properties of other VAS variants in Singapore, investigators should be cautious when interpreting data collected from Chinese-speaking patients using such scales.
Table 5

Comparison of EQ-5D-3L Index Scores between Subgroups with Different Health Status: by Survey Language

 

Patients completing the Chinese

EQ-5D-3L

Patients completing the English

EQ-5D-3L

 

N

Mean (SD)

Adjusted difference*

(p-value)

N

Mean (SD)

Adjusted difference*

(p-value)

BMI (kg/m2)

      

< 30

280

0.867 (0.174)

0.020

231

0.892 (0.161)

0.080

≥ 30

41

0.849 (0.207)

(0.501)

54

0.799 (0.234)

(0.003)

Duration of DM

      

< 10 years

179

0.882 (0.139)

0.034

168

0.897 (0.161)

0.043

≥ 10 years

153

0.836 0.209)

(0.090)

125

0.843 (0.199)

(0.039)

Presence of complications

    

No

187

0.897 (0.138)

0.073

183

0.917 (0.113)

0.102

Yes

144

0.814 (0.208)

(< 0.001)

111

0.803 (0.239)

(< 0.001)

Presence of comorbidities

    

No

60

0.889 (0.130)

0.011

85

0.926 (0.148)

0.056

Yes

271

0.855 (0.185)

(0.685)

209

0.852 (0.187)

(0.015)

Notes: complications were conditions or diseases related to diabetes including stroke, ischemic heart disease, kidney disease, peripheral neuropathy, peripheral vascular disease, and eye disease; comorbidities included cancer, arthritis, hypertension, high blood cholesterol, asthma, lung conditions, liver conditions, mental disorders, urological disease, and ear, nose or throat diseases. * values are regression coefficients in multiple linear regression models in which the effects of administration mode, age, gender, employment status, and education using linear regression models are adjusted for.

It is intriguing why the EQ-VAS performed differently among Chinese- and English-speaking Singaporeans. We thought older age and poor education might be the reasons as those were the main differences between Chinese- and English-speaking patients. We speculated that some older patients or poorly educated patients might not know how to use the EQ-VAS for self-rating because of age-related cognitive impairment or poor numeracy, respective. However, our results did not support this hypothesis; the insensitivity of EQ-VAS to different health status was not associated with education or age (Tables 3 and 4). Although determining the real reason for the observed results is beyond the scope of the present study, the possible reasons should be related to different response styles of the respondents. It may be that Chinese speakers in Singapore have some idiosyncratic response style such that relatively healthy Chinese-speaking patients score their own health lower than their English counterparts on the VAS. Chinese philosophies such as Middle Way [12] may make practitioners avoid using high or low VAS scores to describe their own health. Chinese people might be reluctant to say their health is very good because they are afraid that God may punish them for not being humble [13]. However, we cannot rule out the possibility that the poor performance of the Chinese EQ-VAS was due to the suboptimal translation of the instructions and anchor labels of the instrument. Future studies using qualitative research methods such as focus group discussion should be conducted to elicit the causes for the poor sensitivity to difference of the Chinese version of the EQ-VAS.

There were some limitations in our study. First, all data used in our study were self-reported data. Chinese-speaking patients might have reported less accurate information on complication or comorbidity profiles than English-speaking patients because they were older. If this was the case, the known-groups validity of the Chinese EQ-VAS would have been underestimated in this study. Second, the internal validity of our results might have been affected by respondents' self-selection of survey languages. It is possible that those bilingual respondents who choose the Chinese questionnaires happened to have different response style. Ideally, bilingual respondents were identified and randomized to complete the survey in English or Chinese. Third, the finding of our study only has limited external validity. Since our finding is purely based on patients with diabetes, it may not be generalized to all patient populations in Singapore. Nevertheless, similar results were also observed for rheumatic diseases, Parkinson's disease, and breast cancer. Additionally, our study may not be generalized to other Chinese-speaking populations such as Chinese in mainland China. A recent cross-sectional study of patients with diabetes in China found that the EQ-VAS score was associated with duration of diabetes and microvascular complications but not with BMI or macrovascular complications [14]. In spite of limited generalizability, our study demonstrated the necessity of cross-cultural validation of even simple health-status measures such as the VAS.

In conclusion, compared to its English counterpart, the EQ-VAS appears less sensitive to different health status in Chinese-speaking patients with type 2 diabetes in Singapore. Future studies using qualitative research methods are needed to ascertain the underlying reasons.

Abbreviations

EQ-VAS: 

EQ-5D Visual Analog Scale

BMI: 

Body Mass Index.

Declarations

Acknowledgements

The authors would like to thank the medical students from the Yong Loo Lin School of Medicine, National University of Singapore for data collection. This study would not be possible without the Michael von Clemm Traveling Fellowship and support from the Department of Epidemiology and Public Health, National University of Singapore and the Department of Global Health and Population, Harvard School of Public Health.

Authors’ Affiliations

(1)
Saw Swee Hock School of Public Health, National University of Singapore, Singapore
(2)
Intervet Inc., Summit, USA
(3)
SingHealth Polyclinics, Singapore

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Copyright

© Luo et al; licensee BioMed Central Ltd. 2012

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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