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Influence of health-insurance on treatment outcome of childhood cancer in Western Kenya
BACKGROUND: Few governments in low and middle-income countries (LMIC) have responded favourably to the international plea for Universal Health Coverage. Childhood cancer survival in LMIC is often below 20%. Limited health-insurance coverage may contribute to this poor survival. Our study explores th...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349750/ https://www.ncbi.nlm.nih.gov/pubmed/37452971 http://dx.doi.org/10.1007/s00520-023-07913-1 |
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author | Langat, Sandra Njuguna, Festus Olbara, Gilbert Martijn, Hugo Sieben, Cenne Haverkort, Moniek Njenga, Dennis Vik, Terry A. Kaspers, Gertjan Mostert, Saskia |
author_facet | Langat, Sandra Njuguna, Festus Olbara, Gilbert Martijn, Hugo Sieben, Cenne Haverkort, Moniek Njenga, Dennis Vik, Terry A. Kaspers, Gertjan Mostert, Saskia |
author_sort | Langat, Sandra |
collection | PubMed |
description | BACKGROUND: Few governments in low and middle-income countries (LMIC) have responded favourably to the international plea for Universal Health Coverage. Childhood cancer survival in LMIC is often below 20%. Limited health-insurance coverage may contribute to this poor survival. Our study explores the influence of health-insurance status on childhood cancer treatment outcomes in a Kenyan academic hospital. METHODS: This was a retrospective medical records review of all children diagnosed with cancer at Moi Teaching and Referral Hospital between 2010 and 2016. Socio-demographic and clinical data was collected using a structured data collection form. Fisher’s exact test, chi-squared test, Kaplan–Meier method, log-rank test and Cox proportional hazard model were used to evaluate relationships between treatment outcomes and patient characteristics. Study was approved by Institutional Research Ethics Committee. FINDINGS: From 2010–2016, 879 children were newly diagnosed with cancer. Among 763 patients whose records were available, 28% abandoned treatment, 23% died and 17% had progressive/relapsed disease resulting in 32% event-free survival. In total 280 patients (37%) had health-insurance at diagnosis. After active enrolment during treatment, total health-insurance registration level reached 579 patients (76%). Treatment outcomes differed by health-insurance status (P < 0.001). The most likely treatment outcome in uninsured patients was death (49%), whereas in those with health-insurance at diagnosis and those who enrolled during treatment it was event-free survival (36% and 41% respectively). Overall survival (P < 0.001) and event-free survival (P < 0.001) were higher for insured versus uninsured patients. The hazard-ratio for treatment failure was 0.30 (95% CI:0.22–0.39; P < 0.001) for patients insured at diagnosis and 0.32 (95% CI:0.24–0.41; P < 0.001) for patients insured during treatment in relation to those without insurance. INTERPRETATION: Our study highlights the need for Universal Health Coverage in LMIC. Children without health-insurance had significantly lower survival. Childhood cancer treatment outcomes can be ameliorated by strategies that improve health-insurance access. |
format | Online Article Text |
id | pubmed-10349750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-103497502023-07-17 Influence of health-insurance on treatment outcome of childhood cancer in Western Kenya Langat, Sandra Njuguna, Festus Olbara, Gilbert Martijn, Hugo Sieben, Cenne Haverkort, Moniek Njenga, Dennis Vik, Terry A. Kaspers, Gertjan Mostert, Saskia Support Care Cancer Research BACKGROUND: Few governments in low and middle-income countries (LMIC) have responded favourably to the international plea for Universal Health Coverage. Childhood cancer survival in LMIC is often below 20%. Limited health-insurance coverage may contribute to this poor survival. Our study explores the influence of health-insurance status on childhood cancer treatment outcomes in a Kenyan academic hospital. METHODS: This was a retrospective medical records review of all children diagnosed with cancer at Moi Teaching and Referral Hospital between 2010 and 2016. Socio-demographic and clinical data was collected using a structured data collection form. Fisher’s exact test, chi-squared test, Kaplan–Meier method, log-rank test and Cox proportional hazard model were used to evaluate relationships between treatment outcomes and patient characteristics. Study was approved by Institutional Research Ethics Committee. FINDINGS: From 2010–2016, 879 children were newly diagnosed with cancer. Among 763 patients whose records were available, 28% abandoned treatment, 23% died and 17% had progressive/relapsed disease resulting in 32% event-free survival. In total 280 patients (37%) had health-insurance at diagnosis. After active enrolment during treatment, total health-insurance registration level reached 579 patients (76%). Treatment outcomes differed by health-insurance status (P < 0.001). The most likely treatment outcome in uninsured patients was death (49%), whereas in those with health-insurance at diagnosis and those who enrolled during treatment it was event-free survival (36% and 41% respectively). Overall survival (P < 0.001) and event-free survival (P < 0.001) were higher for insured versus uninsured patients. The hazard-ratio for treatment failure was 0.30 (95% CI:0.22–0.39; P < 0.001) for patients insured at diagnosis and 0.32 (95% CI:0.24–0.41; P < 0.001) for patients insured during treatment in relation to those without insurance. INTERPRETATION: Our study highlights the need for Universal Health Coverage in LMIC. Children without health-insurance had significantly lower survival. Childhood cancer treatment outcomes can be ameliorated by strategies that improve health-insurance access. Springer Berlin Heidelberg 2023-07-15 2023 /pmc/articles/PMC10349750/ /pubmed/37452971 http://dx.doi.org/10.1007/s00520-023-07913-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Langat, Sandra Njuguna, Festus Olbara, Gilbert Martijn, Hugo Sieben, Cenne Haverkort, Moniek Njenga, Dennis Vik, Terry A. Kaspers, Gertjan Mostert, Saskia Influence of health-insurance on treatment outcome of childhood cancer in Western Kenya |
title | Influence of health-insurance on treatment outcome of childhood cancer in Western Kenya |
title_full | Influence of health-insurance on treatment outcome of childhood cancer in Western Kenya |
title_fullStr | Influence of health-insurance on treatment outcome of childhood cancer in Western Kenya |
title_full_unstemmed | Influence of health-insurance on treatment outcome of childhood cancer in Western Kenya |
title_short | Influence of health-insurance on treatment outcome of childhood cancer in Western Kenya |
title_sort | influence of health-insurance on treatment outcome of childhood cancer in western kenya |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349750/ https://www.ncbi.nlm.nih.gov/pubmed/37452971 http://dx.doi.org/10.1007/s00520-023-07913-1 |
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