ECONOMICBURDENOFSICKLECELLDISEASEANDPAYMENTCOPING STRATEGIESAMONGPATIENTINTHEUNIVERSITYOFBENIN TEACHINGHOSPITAL
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Abstract
This study examined the economic burden of Sickle Cell Disease (SCD) and the payment coping mechanisms of patients receiving care at the University of Benin Teaching Hospital (UBTH), Benin City, Nigeria. A descriptive cross-sectional survey design was employed, targeting sickle cell patients who attended the outpatient clinic and wards of UBTH. A sample size of 100 respondents was selected using simple random sampling from an estimated population of 118 patients. Data were collected using a structured, pretested questionnaire covering socio-demographic
characteristics, direct and indirect medical costs, socioeconomic cost distribution, and payment coping strategies. Validity of the instrument was ensured through expert review, and reliability was established via a test-retest method yielding a reliability coefficient of 0.85. Descriptive statistics such as frequency, percentages, means, and
standard deviation were used to analyze the data. Direct costs were calculated using the bottom-up approach, while indirect costs were assessed through the human capital approach. Inferential analysis was done using ANOVA and Chi-square tests to determine significant associations, with a significance level set at p < 0.05. Ethical approval was obtained, and patient confidentiality and voluntary participation were assured. The findings highlight the substantial economic burden SCD imposes on patients and the diverse strategies employed to cope with payment demands,
providing a basis for policy recommendations aimed at improving access to care and financial protection for individuals living with SCD
characteristics, direct and indirect medical costs, socioeconomic cost distribution, and payment coping strategies. Validity of the instrument was ensured through expert review, and reliability was established via a test-retest method yielding a reliability coefficient of 0.85. Descriptive statistics such as frequency, percentages, means, and
standard deviation were used to analyze the data. Direct costs were calculated using the bottom-up approach, while indirect costs were assessed through the human capital approach. Inferential analysis was done using ANOVA and Chi-square tests to determine significant associations, with a significance level set at p < 0.05. Ethical approval was obtained, and patient confidentiality and voluntary participation were assured. The findings highlight the substantial economic burden SCD imposes on patients and the diverse strategies employed to cope with payment demands,
providing a basis for policy recommendations aimed at improving access to care and financial protection for individuals living with SCD
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