Health Utility Measured with EQ-5D in Thai Patients Undergoing Peritoneal Dialysis

Sakthong, Phantipa; Kasemsup, Vijj

doi:10.1016/j.jval.2011.11.005

Cited by 30 publications

(27 citation statements)

References 18 publications

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“…The EQ-5D-5L took a very short time about 2 min to complete. Even though EQ-5D-3L was not compared, the ceiling effect of EQ-5D-5L (13.6 %) was lower than those of EQ-5D-3L reported in our previous studies including HIV (28.3 %) [10], diabetes (21.1 %) [33], peritoneal dialysis (18.6 %) [34], and coronary artery disease (33.3 %) [35]. The ceiling effect of EQ-5D-5L of this study was also lower than a limit of 15 % [36] and that of a foreign study conducted in general population with chronic diseases (32.3 %) [20].…”

Section: Discussioncontrasting

confidence: 62%

Psychometric properties of the EQ-5D-5L in Thai patients with chronic diseases

et al. 2015

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Section: Discussioncontrasting

confidence: 62%

Psychometric properties of the EQ-5D-5L in Thai patients with chronic diseases

et al. 2015

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“…Another study among Korean patients on haemodialysis reported the HRQOL was 0.704 ± 0.199 (Kang et al, 2015). Sakthong & Kasemsup (2012) reported that the EQ-5D score for patients on peritoneal dialysis in Taiwan was 0.65 ± 0.23, whereas the score for this group in our study was 0.86 ± 0.12. Surprisingly, the mean EQ-5D score for patients in our study was higher than that reported in developed countries (e.g., Japan and South Korea), suggesting that patients in this study were satisfied with their health.…”

Section: Discussioncontrasting

confidence: 80%

The health‐related quality of life among patients on maintenance haemodialysis: Evaluation using the “EQ‐5D”

Yuan

Yang

Zhang

et al. 2019

Journal of Clinical Nursing

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Purpose We conducted a cross‐sectional investigation of health‐related quality of life (HRQOL) among maintenance haemodialysis (MHD) patients, and determined important predictive factors of HRQOL in these patients. Methods Psychological factors were evaluated with the Hospital Anxiety and Depression Scale (HADS), the Pittsburgh Sleep Quality Index (PSQI) and the General Self‐Efficacy Scale (GSES). HRQOL was evaluated with the EQ‐5D. Laboratory data (albumin, haemoglobin and C‐reactive protein) were collected for medical evaluation. We also collected participants’ demographic data, including gender, age, et al. This study was in compliance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist. Results The mean EQ‐5D score was 0.86 ± 0.12, mean HADS‐anxiety score was 5.27 ± 3.41, mean HADS‐depression score was 5.29 ± 3.58, mean PSQI score was 7.00 ± 4.23 and mean GSES score was 6.86 ± 2.03. Participants’ mean haemoglobin was 108.18 ± 16.45 g/L, mean albumin was 41.80 ± 4.61 g/L and mean C‐reactive protein was 8.88 ± 18.50 mg/L. HRQOL was negatively correlated with HADS‐anxiety (r = −0.390, p < 0.001), HADS‐depression (r = −0.385, p < 0.001), PSQI (r = −0.285, p < 0.001) and C‐reactive protein (r = −0.198, p = 0.034). HRQOL was positively correlated with GSES (r = 0.205, p = 0.007). Age (p < 0.001), anxiety (p < 0.001), depression (p = 0.002), and postdialysis unemployment (p < 0.001) were independent risk factors for HRQOL. Conclusion Different health interventions should be implemented to improve patients’ HRQOL. Relevance to clinical practice The results will provide evidence for establishing healthcare interventions to maintain or improve HRQOL among this patient population.

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“…In one study, the EQ-5D index score was 0.75 ± 0.17 in Japanese HD patients. 18 In peritoneal dialysis patients, Sakthong et al 30 reported that the EQ-5D index score was 0.65 ± 0.23 in Taiwan. We evaluated HRQoL using the EQ-5D in HD patients and the index score was 0.704 ± 0.199.…”

Section: Discussionmentioning

confidence: 99%

Clinical and psychosocial factors predicting health‐related quality of life in hemodialysis patients

Kang

Lee

Ahn

et al. 2015

Hemodialysis International

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Many patients with end-stage renal disease have significant impairment in health-related quality of life (HRQoL). Most previous studies have focused on clinical factors; however, quality of life can also be affected by psychosocial factors. The aim of this study was to identify the possible predictors of HRQoL among clinical and psychosocial factors in hemodialysis (HD) patients. The study included 101 patients who were undergoing HD. Psychosocial factors were evaluated using the Hospital Anxiety and Depression Scale, Multidimensional Scale of Perceived Social Support, Montreal Cognitive Assessment, and Pittsburgh Sleep Quality Index. We also assessed laboratory and clinical factors, including albumin, Kt/V as a marker of dialysis adequacy, normalized protein catabolic rate, and duration of HD. The Euro Quality of Life Questionnaire 5-Dimensional Classification (EQ-5D) was used to evaluate HRQoL. The mean EQ-5D index score was 0.704 ± 0.199. The following variables showed a significant association with the EQ-5D index: age (P < 0.001), depression (P < 0.001), anxiety (P < 0.001), support from friends (P < 0.001), cognitive function (P < 0.001), duration of HD (P = 0.034), triglyceride (P = 0.031), total iron-binding capacity (P = 0.036), and phosphorus (P = 0.037). Multiple regression analysis showed that age (95% confidence interval [CI] -0.008 to -0.002), anxiety (95% CI -0.025 to -0.009), and support from friends (95% CI 0.004 to 0.018) were independent predictors of impaired HRQoL. This study explored determinants of impaired HRQoL in HD patients. We found that impaired HRQoL was independently associated with age, anxiety, and support from friends. We should consider psychosocial as well as clinical factors when evaluating ways to improve HRQoL in HD patients.

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Health Utility Measured with EQ-5D in Thai Patients Undergoing Peritoneal Dialysis

Cited by 30 publications

References 18 publications

Psychometric properties of the EQ-5D-5L in Thai patients with chronic diseases

Psychometric properties of the EQ-5D-5L in Thai patients with chronic diseases

The health‐related quality of life among patients on maintenance haemodialysis: Evaluation using the “EQ‐5D”

Clinical and psychosocial factors predicting health‐related quality of life in hemodialysis patients

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