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VP36 Benefit Cost Analysis Of Electronic Claims Processing System In Ghana

Published online by Cambridge University Press:  03 January 2019

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Abstract

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Introduction:

Since the inception of the Ghana National Health Insurance Scheme (NHIS), it has been pursuing a number of provider payment mechanisms that could not only control the continuous escalating costs of claims payout, but also facilitate the claims processing time. In lieu of this, electronic processing of claims (E-claims) was introduced in 2013 as part of the World Bank supported Health Insurance project that sought to facilitate the financial and operational management of the NHIS. It was piloted in 29 health facilities up to March 2014. They reported cost savings made by the NHIS using E-claims, creating interest in scaling it up. However, the comparative effectiveness and cost effectiveness of E-claims to the health system compared to manual claims processing is unknown. Therefore, to provide decision makers with the appropriate information to choose between manual and E-claims processing, this study sought to evaluate the cost-benefit of E-claims.

Methods:

A benefit-cost analysis was used to evaluate the efficiency of E-claims from the perspective of the health system. Health providers and the purchaser (NHIS claims processing center) were the study population. Resource use and costs were obtained from the study population. The volumes and values of claims reimbursed and the claims rejection rate were used as the benefits of claims processing. The incremental benefit-cost ratio (IBCR) was estimated for the provider, purchaser and the entire health system. Analysis was conducted in Microsoft Excel.

Results:

The total cost per claim for providers were USD 1,177.04 and USD 1,240.65 for E-claims and paper claims respectively. The total cost per E-claims and paper claims for the purchaser were 592.17 and 502.19 respectively. Total benefit per E-claim and paper claim processing for the providers were USD 8,562.90 and USD 8,888.37 respectively while that for the purchaser was USD 11,037.62 and USD 8,737.60 respectively. Processing claims electronically led to incremental gains by both providers and purchasers. Providers gained additional USD 2008.51 while the purchaser gained USD 2,300.02. The IBCR was estimated at −19.75, 25.56 and 5.10 for all providers, purchaser and both providers and purchaser of the health system respectively. Thus the IBCR was less than 1for the providers and more than 1 for purchaser and both purchaser and providers.

Conclusions:

The electronic processing of claims is more efficient compared to manual processing in the Ghana NHIS. This provides decision makers with evidence for scaling it up to all the facilities in Ghana.

Type
Vignette Presentations
Copyright
Copyright © Cambridge University Press 2018