Healthcare Utilization with Drug Acquisition and Expenses at the National Health Insurance Fund in Sudan
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Read the article on pubmed.ncbi.nlm.nih.gov ↗Article · Mar 2022 · 1 min read
In brief
In brief
Cross-sectional study of 768 National Health Insurance Fund beneficiaries in Sudan's Al Jazira State reveals that 63% seek out-of-network care, primarily driven by medication cost burdens. Gender, marital status, chronic disease burden, and regular medication needs predict care-seeking patterns, suggesting medication subsidies could reduce patient leakage from the insurance network.
Written by the GCMD Library team from the article.
Background: Understanding the pattern of care use can provide valuable information for reform interventions. This study investigates the pattern of healthcare utilization and its association with drug acquisition patterns and expenses in the National Health Insurance Fund (NHIF) of Al Jazira State in Sudan. Methods: A cross-sectional survey was conducted at NHIF primary healthcare centers of Al Jazirah state in Sudan. Results: A total of 768 beneficiaries were interviewed, of which 63.2% reported using out-of-network physician care, while 36.8% receive care from the NHIF physician network only. More than half (60.8%) of NHIF-interviewed clients reported a heavy burden of medication costs. The pattern of physician utilization was significantly associated with the number and source of regular drugs, the burden of out-of-pocket payment, and monthly out-of-pocket expenditures on medications, (p < 0.001). The regression analysis revealed that gender, marital status, number of chronic diseases, and number of regular drugs were the significant predictors of the pattern of physician care utilization; these factors explained nearly 36% of the variance in respondents’ pattern of physician care utilization. Conclusions: An impressive proportion of out-of-network care was found in Al Jazirah State in Sudan. The NHIF stakeholders should consider medication subsidy as a potential strategy for decreasing patient leakage to out-of-network services.
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