Out‐of‐pocket payments by end‐stage kidney disease patients on regular hemodialysis: Cost of illness analysis, experience from Sudan

Introduction In Sudan, the number of end‐stage kidney disease (ESKD) patients receiving hemodialysis (HD) is growing. Patients and their families incur a high out‐of‐pocket expenditure (OOPE), given that HD treatment is expensive. There are limited data about OOP spending on HD in the country. This...

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Veröffentlicht in:Hemodialysis international 2021-01, Vol.25 (1), p.123-130
Hauptverfasser: Yousif, Aisha Osman, Idris, Almutaz Khalfalla Mohammed, Awad, Mousnad Mohammed, El‐Samani, El‐Fatih Z.
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Sprache:eng
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Zusammenfassung:Introduction In Sudan, the number of end‐stage kidney disease (ESKD) patients receiving hemodialysis (HD) is growing. Patients and their families incur a high out‐of‐pocket expenditure (OOPE), given that HD treatment is expensive. There are limited data about OOP spending on HD in the country. This study aims to explore patients' OOP expense on direct medical and nonmedical goods and services and to which extent they can be predicted from sociodemographic characteristics, health insurance status, comorbidity, and accommodation change. Methods This is descriptive a cross‐sectional study conducted in Ibn Sina Hospital. One hundred and thirty patients undergo regular HD were randomly selected. Findings Among the study participants (130), the median of the overall total OOP (direct medical and direct nonmedical) spending per patients per year was found to be US$ 3859.1 (interquartile range [IQR]: 2298.1–6261.1). As for the medians OOP expenditure on direct medical and nonmedical costs, they were found to be US$ 2327.6 (IQR: 1421.5–3804.8) and US$ 1096 (IQR: 715.2–2345.2), respectively. The direct medical expenditure (355,586 US$) accounted for 60% of the overall total expenses. Discussion Medications and investigations were the primary drivers of direct medical spending. Higher OOPE rates were found among those with one or more of these factors; uninsured patients, patient with comorbidity, female gender, and over 40 years aged. The multivariate analysis showed that the significant predictors of direct medical expenditure were health insurance and comorbid conditions, where as the predictors for direct nonmedical expenditure were accommodation change and gender. This study results in a better understanding of OOP spending on direct medical and nonmedical services and its associated predictors among HD patients within the context of Sudan. Further research is needed in this area.
ISSN:1492-7535
1542-4758
DOI:10.1111/hdi.12895