Rome; 12% T1D; 88.0% T2D). When asked which health state they preferred, 98.2% said concentrated, 0.9% said standard, and 0.9% had no preference. Mean (SD) utilities rounded to three decimals were 0.892 (0.099) for concentrated and 0.884 (0.101) for standard. The mean (SD; p-value) utility difference between standard and concentrated rapid-acting insulin was 0.007 (0.019; p<0.0001). CONCLUSIONS: Findings from this Italian sample provide insight into patient preferences associated with rapid-acting insulin concentration. Although the difference in utility is small, patients consistently preferred concentrated over standard insulin, and for some patients, this difference had an impact on utility valuations. Results suggest that concentration of rapid-acting insulin should be considered because it could have an impact on treatment preference and quality of life.
OBJECTIVES:The aim of this study was to determine the health status of type 2 diabetes patients in a Nigeria and examine the sociodemographic and clinical variables that predicted the health status of type 2 diabetes patients in terms of utility valuations and EuroQol Visual Analogue Scale (EQ-VAS) score. METHODS: This was a cross-sectional study of 147 diabetes patients attending the University of Nigeria Teaching Hospital, Enugu State, Nigeria. The EQ-5D-5L instrument, version 2.1, was used to evaluate patients' self-reported health status, and patients who gave informed consent completed the questionnaire while waiting to see a doctor. Descriptive and multiple linear regression analyses were performed using SPSS version 20. RESULTS: Overall, 147 patients participated in this study, with a mean age (± standard deviation) of 56.7 years (± 10.33). Over half of the respondents were females (55.1%) and more than half were older than 60 years of age. The mean EQ-VAS and utility valuations of respondents were 72.59 ± 10.51 and 0.72 ± 0.13, respectively. The age of respondents independently and significantly predicted EQ-VAS by -2.659 per year, while the age of respondents, level of education, duration of diabetes, and presence of other illnesses independently and significantly predicted utility valuations by -0.020 per year, +0.029 per level of education, -0.008 per year, and -0.044 per illness, respectively. Less than 39% of patients experienced no problems for each of the dimensions, except selfcare (68%). CONCLUSIONS: The results of this study revealed a relatively low health status among type 2 diabetic patients in Nigeria. Old age, duration of diabetes and the presence of other illnesses were major contributors to the negative impact on health status, while a higher level of education contributed positively to health status. Adequate family support, as well as regular and effective patient counseling and education, may be worthwhile.