Cost-effectiveness and budget impact of covering Burkitt lymphoma in children under Ghana’s National Health Insurance Scheme

Abstract Background Childhood cancer is not a high priority in health care financing for many countries, including in Ghana. Delayed care seeking and treatment abandonment, often due to the financial burden of care seeking to families, are common reasons for a relatively low overall survival (OS) in...

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Main Authors: Richmond Owusu, Dakota Pritchard, Lieke Fleur Heupink, Godwin Gulbi, Brian Asare, Ivy Amankwah, Joycelyn Azeez, Martha Gyansa-Lutterodt, Lydia Dsane-Selby, Ruby Aileen Mensah, William Omane-Adjekum, Francis Ruiz, Mohamed Gad, Justice Nonvignon, Lumbwe Chola, Ghana Health Technology Assessment Technical Working Group
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Cost Effectiveness and Resource Allocation
Online Access:https://doi.org/10.1186/s12962-025-00603-1
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author Richmond Owusu
Dakota Pritchard
Lieke Fleur Heupink
Godwin Gulbi
Brian Asare
Ivy Amankwah
Joycelyn Azeez
Martha Gyansa-Lutterodt
Lydia Dsane-Selby
Ruby Aileen Mensah
William Omane-Adjekum
Francis Ruiz
Mohamed Gad
Justice Nonvignon
Lumbwe Chola
Ghana Health Technology Assessment Technical Working Group
author_facet Richmond Owusu
Dakota Pritchard
Lieke Fleur Heupink
Godwin Gulbi
Brian Asare
Ivy Amankwah
Joycelyn Azeez
Martha Gyansa-Lutterodt
Lydia Dsane-Selby
Ruby Aileen Mensah
William Omane-Adjekum
Francis Ruiz
Mohamed Gad
Justice Nonvignon
Lumbwe Chola
Ghana Health Technology Assessment Technical Working Group
author_sort Richmond Owusu
collection DOAJ
description Abstract Background Childhood cancer is not a high priority in health care financing for many countries, including in Ghana. Delayed care seeking and treatment abandonment, often due to the financial burden of care seeking to families, are common reasons for a relatively low overall survival (OS) in low-and middle-income countries. In this study, we analyzed the cost-effectiveness of extending health insurance coverage to children with Burkitt lymphoma (BL) in Ghana. Methods We developed a Markov model in Microsoft Excel to estimate the costs and effects of BL treatment when National Health Insurance Scheme (NHIS) was provided compared to the status quo where NHIS does not cover care for childhood cancer. The analysis was undertaken from the societal and health system (payer) perspective. Both costs (measured in $) and effects, measured using disability adjusted life years (DALYs), were discounted at a rate of 3%. The time horizon was a lifetime. Probabilistic sensitivity analysis was done to assess uncertainty in the measurement of the incremental cost-effectiveness ratio (ICER). A budget impact analysis was undertaken from the perspective of the NHIS. Results In the base-case analysis, the intervention (NHIS reimbursed treatment) was less costly than current practice ($8,302 vs $9,558). The intervention was also more effective with less DALYs per patient than the standard of care (17.6 vs 23.33). The ICER was -$219 per DALY averted from societal perspective and $113 per DALY averted from health system perspective. The probabilistic sensitivity analysis showed that the intervention is likely to be both less costly and more effective than current practice in 100% of the 1,000 simulations undertaken. Conclusion Providing health insurance coverage to children with BL is potentially cost-effective. The effectiveness and cost-savings relating to this strategy is driven by its positive impact on treatment initiation and retention. Based on this evidence, there has been a policy change where Ghana’s NHIS has prioritized financing for cancer treatment in children.
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spelling doaj-art-b725efdc478d4b889d2d8870645e98ec2025-02-02T12:26:02ZengBMCCost Effectiveness and Resource Allocation1478-75472025-01-0123111010.1186/s12962-025-00603-1Cost-effectiveness and budget impact of covering Burkitt lymphoma in children under Ghana’s National Health Insurance SchemeRichmond Owusu0Dakota Pritchard1Lieke Fleur Heupink2Godwin Gulbi3Brian Asare4Ivy Amankwah5Joycelyn Azeez6Martha Gyansa-Lutterodt7Lydia Dsane-Selby8Ruby Aileen Mensah9William Omane-Adjekum10Francis Ruiz11Mohamed Gad12Justice Nonvignon13Lumbwe Chola14Ghana Health Technology Assessment Technical Working GroupUniversity of Ghana School of Public HealthNorwegian Institute of Public HealthNorwegian Institute of Public HealthMinistry of HealthMinistry of HealthMinistry of HealthMinistry of HealthMinistry of HealthNational Health Insurance AuthorityNational Health Insurance AuthorityNational Health Insurance AuthorityLondon School of Hygiene & Tropical MedicineLondon School of Hygiene & Tropical MedicineUniversity of Ghana School of Public HealthNorwegian Institute of Public HealthAbstract Background Childhood cancer is not a high priority in health care financing for many countries, including in Ghana. Delayed care seeking and treatment abandonment, often due to the financial burden of care seeking to families, are common reasons for a relatively low overall survival (OS) in low-and middle-income countries. In this study, we analyzed the cost-effectiveness of extending health insurance coverage to children with Burkitt lymphoma (BL) in Ghana. Methods We developed a Markov model in Microsoft Excel to estimate the costs and effects of BL treatment when National Health Insurance Scheme (NHIS) was provided compared to the status quo where NHIS does not cover care for childhood cancer. The analysis was undertaken from the societal and health system (payer) perspective. Both costs (measured in $) and effects, measured using disability adjusted life years (DALYs), were discounted at a rate of 3%. The time horizon was a lifetime. Probabilistic sensitivity analysis was done to assess uncertainty in the measurement of the incremental cost-effectiveness ratio (ICER). A budget impact analysis was undertaken from the perspective of the NHIS. Results In the base-case analysis, the intervention (NHIS reimbursed treatment) was less costly than current practice ($8,302 vs $9,558). The intervention was also more effective with less DALYs per patient than the standard of care (17.6 vs 23.33). The ICER was -$219 per DALY averted from societal perspective and $113 per DALY averted from health system perspective. The probabilistic sensitivity analysis showed that the intervention is likely to be both less costly and more effective than current practice in 100% of the 1,000 simulations undertaken. Conclusion Providing health insurance coverage to children with BL is potentially cost-effective. The effectiveness and cost-savings relating to this strategy is driven by its positive impact on treatment initiation and retention. Based on this evidence, there has been a policy change where Ghana’s NHIS has prioritized financing for cancer treatment in children.https://doi.org/10.1186/s12962-025-00603-1
spellingShingle Richmond Owusu
Dakota Pritchard
Lieke Fleur Heupink
Godwin Gulbi
Brian Asare
Ivy Amankwah
Joycelyn Azeez
Martha Gyansa-Lutterodt
Lydia Dsane-Selby
Ruby Aileen Mensah
William Omane-Adjekum
Francis Ruiz
Mohamed Gad
Justice Nonvignon
Lumbwe Chola
Ghana Health Technology Assessment Technical Working Group
Cost-effectiveness and budget impact of covering Burkitt lymphoma in children under Ghana’s National Health Insurance Scheme
Cost Effectiveness and Resource Allocation
title Cost-effectiveness and budget impact of covering Burkitt lymphoma in children under Ghana’s National Health Insurance Scheme
title_full Cost-effectiveness and budget impact of covering Burkitt lymphoma in children under Ghana’s National Health Insurance Scheme
title_fullStr Cost-effectiveness and budget impact of covering Burkitt lymphoma in children under Ghana’s National Health Insurance Scheme
title_full_unstemmed Cost-effectiveness and budget impact of covering Burkitt lymphoma in children under Ghana’s National Health Insurance Scheme
title_short Cost-effectiveness and budget impact of covering Burkitt lymphoma in children under Ghana’s National Health Insurance Scheme
title_sort cost effectiveness and budget impact of covering burkitt lymphoma in children under ghana s national health insurance scheme
url https://doi.org/10.1186/s12962-025-00603-1
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