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Benefit–cost analysis of electronic claims processing under Ghana’s National Health Insurance Scheme

OBJECTIVE: The aim of this study was to evaluate the benefit–cost of E-claims. A benefit–cost analysis was used to evaluate the efficiency of E-claims from the perspective of the providers and the purchaser. DESIGN: A benefit–cost analysis approach was taken for this economic evaluation. Furthermore...

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Autores principales: Nonvignon, Justice, Addo, Rebecca, Wang, Huihui, Seddoh, Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086605/
https://www.ncbi.nlm.nih.gov/pubmed/35534071
http://dx.doi.org/10.1136/bmjopen-2021-054757
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author Nonvignon, Justice
Addo, Rebecca
Wang, Huihui
Seddoh, Anthony
author_facet Nonvignon, Justice
Addo, Rebecca
Wang, Huihui
Seddoh, Anthony
author_sort Nonvignon, Justice
collection PubMed
description OBJECTIVE: The aim of this study was to evaluate the benefit–cost of E-claims. A benefit–cost analysis was used to evaluate the efficiency of E-claims from the perspective of the providers and the purchaser. DESIGN: A benefit–cost analysis approach was taken for this economic evaluation. Furthermore, we estimated the incremental benefit–cost ratio (IBCR) of the intervention under assessment. PARTICIPANTS: Purchasers and healthcare providers of the National Health Insurance Scheme (NHIS) of Ghana were the study population. RESULTS: The analysis was stratified according to providers and purchaser. Cost incurred in processing claims electronically and manually were estimated by assessing the resource use and their corresponding costs. Sensitivity analysis was conducted to assess the robustness of the results to variations in discount rate and proportions of claims processed under E-claims compared with paper claims. The combined sample of providers and purchaser made incremental gains from processing claims electronically. The IBCR was −19.75, 25.56 and 5.10 for all (sample) providers, purchaser and both providers and purchaser, respectively. When projected for the 330 facilities submitting claims to the NHIS claims processing centre (CPC) as at December 2014, the IBCR were −35.20, 25.56 and 90.06 for all providers, purchaser and both providers and purchaser. The results were sensitive to the discount rate used and proportions of E-claims compared with paper claims. CONCLUSION: Electronic processing of claims is more efficient compared with manual processing, hence provide an economic case for scaling it up to cover many more healthcare facilities and NHIS CPCs in the Ghana.
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spelling pubmed-90866052022-05-20 Benefit–cost analysis of electronic claims processing under Ghana’s National Health Insurance Scheme Nonvignon, Justice Addo, Rebecca Wang, Huihui Seddoh, Anthony BMJ Open Health Economics OBJECTIVE: The aim of this study was to evaluate the benefit–cost of E-claims. A benefit–cost analysis was used to evaluate the efficiency of E-claims from the perspective of the providers and the purchaser. DESIGN: A benefit–cost analysis approach was taken for this economic evaluation. Furthermore, we estimated the incremental benefit–cost ratio (IBCR) of the intervention under assessment. PARTICIPANTS: Purchasers and healthcare providers of the National Health Insurance Scheme (NHIS) of Ghana were the study population. RESULTS: The analysis was stratified according to providers and purchaser. Cost incurred in processing claims electronically and manually were estimated by assessing the resource use and their corresponding costs. Sensitivity analysis was conducted to assess the robustness of the results to variations in discount rate and proportions of claims processed under E-claims compared with paper claims. The combined sample of providers and purchaser made incremental gains from processing claims electronically. The IBCR was −19.75, 25.56 and 5.10 for all (sample) providers, purchaser and both providers and purchaser, respectively. When projected for the 330 facilities submitting claims to the NHIS claims processing centre (CPC) as at December 2014, the IBCR were −35.20, 25.56 and 90.06 for all providers, purchaser and both providers and purchaser. The results were sensitive to the discount rate used and proportions of E-claims compared with paper claims. CONCLUSION: Electronic processing of claims is more efficient compared with manual processing, hence provide an economic case for scaling it up to cover many more healthcare facilities and NHIS CPCs in the Ghana. BMJ Publishing Group 2022-05-09 /pmc/articles/PMC9086605/ /pubmed/35534071 http://dx.doi.org/10.1136/bmjopen-2021-054757 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Health Economics
Nonvignon, Justice
Addo, Rebecca
Wang, Huihui
Seddoh, Anthony
Benefit–cost analysis of electronic claims processing under Ghana’s National Health Insurance Scheme
title Benefit–cost analysis of electronic claims processing under Ghana’s National Health Insurance Scheme
title_full Benefit–cost analysis of electronic claims processing under Ghana’s National Health Insurance Scheme
title_fullStr Benefit–cost analysis of electronic claims processing under Ghana’s National Health Insurance Scheme
title_full_unstemmed Benefit–cost analysis of electronic claims processing under Ghana’s National Health Insurance Scheme
title_short Benefit–cost analysis of electronic claims processing under Ghana’s National Health Insurance Scheme
title_sort benefit–cost analysis of electronic claims processing under ghana’s national health insurance scheme
topic Health Economics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086605/
https://www.ncbi.nlm.nih.gov/pubmed/35534071
http://dx.doi.org/10.1136/bmjopen-2021-054757
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