Measurement of Health Related Quality of Life in Malaria Patients in Indonesia using EQ-5D-5L
Published: July 1, 2019 | DOI: https://doi.org/10.7860/JCDR/2019/41841.13010
Dian Amalia Makatita, Restu Nur Hasanah Haris, Dwi Endarti, Chairun Wiedyaningsih, Tri Murti Andayani
1. Postgraduate Student, Master in Pharmacy Management, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia.
2. Research Assistant, Department of Pharmaceutics, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia.
3. Lecturer, Department of Pharmaceutics, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia.
4. Lecturer, Department of Pharmaceutics, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia.
5. Lecturer, Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Correspondence
Dr. Dwi Endarti,
Sekip Utara Rd, Yogyakarta, Indonesia.
E-mail: endarti_apt@ugm.ac.id
Introduction: Indonesia is one of the countries with high malaria cases. In 2017 there were at least 261,167 malaria cases nationally. West Papua is included in the 3 major provinces with the highest incidence of malaria. Malaria disease alters patient’s Quality of Life (QoL). Thus, measurement of Health Related Quality of Life (HRQOL) is gaining importance.
Aim: This study was aimed at measuring HRQOL in malaria patients and examining the relationship between socio-demographics and HRQOL.
Materials and Methods: Data were collected from 110 patients with malaria visiting primary healthcare centres. It was a cross-sectional study conducted from October to December 2018. Measurement of HRQOL was done using the European Quality of Life-Five Dimension-Five Level (EQ-5D-5L) instrument. Descriptive analysis was used to analyse patients HRQOL in terms of EQ-5D-5L descriptive system, EQ-5D-5L index scores (utility), and European Quality-Visual Analog Scale (EQ-VAS). Relationships between socio-demographics and HRQOL were examined using multivariate regression analyses.
Results: Almost all of the respondents reported problems in all domains. There were no responses of “extreme problems” for any of the domains. “Pain/discomfort” (99%) and “usual activities” (95.4%) domains were the most reported problems among malaria patients. The mean EQ-5D-5L and VAS score was 0.490±0.470 and 50.9±0.5, respectively. Utility score in patients with severe malaria (0.349) was lower compared to patients with mild malaria (0.571). Patients with health insurance had a better QoL. Sociodemographic factors, particularly the type (severity) of malaria and health insurance, contributed 36.9% to the HRQOL.
Conclusion: Malaria was associated with poor HRQOL and particularly affected “Pain/discomfort” and “usual activities” domains.
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