4.3 Article

Health-Related Quality of Life in Patients with Health Conditions in Lebanese Community Setting

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MDPI
DOI: 10.3390/ijerph18168817

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HRQoL; EQ-5D-5L; utility measures; health economics; cardiovascular; diabetes

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This study aimed to measure HRQoL in Lebanese patients and determine factors affecting health utility scores. Results showed that participants rated their health and treatment satisfaction relatively high, with an average utility score of 0.762. Factors such as number of prescribed medications, age, and recent hospitalization significantly influenced HRQoL.
Background: The measurement of health-related quality of life (HRQoL) provides utility scores that could be used for health economics assessment. The aim of this study was to measure HRQoL in Lebanese patients with certain medical conditions, and to determine demographic and medical factors affecting such health utility scores. Method: This was a prospective cross-sectional pilot study conducted to gather information on the socioeconomic status, health condition and quality of life of participants with common diseases during their community pharmacy visit. The EuroQol-5-Dimension instrument was used to measure utility scores and SPSS v26 was used to perform the statistical analysis. Results: Participants (n = 102) gave an average of 6.8 and 7.4 out of 10 for their current health and for their satisfaction with their treatment, respectively. The mean utility score was 0.762 (SD 0.202). The number of prescribed medications per respondent indicated a significant impact on HRQoL (p = 0.002). On average, the utility scores were low for participants who were 75 years or older (0.15, p < 0.001), and those who were hospitalized in the past 12 months (0.111, p < 0.001). For every unit increase in treatment satisfaction, the quality-of-life score increased by 0.036 unit (p = 0.001). Conclusion: This pilot study measured health utility scores and factors influencing HRQoL in the Lebanese population. Further studies are needed to confirm our findings and to develop and validate tools helping to measure health related quality of life in the population in Lebanon.

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