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Improving quality of medical certification of causes of death in health facilities in Tanzania 2014–2019
BACKGROUND: Monitoring medically certified causes of death is essential to shape national health policies, track progress to Sustainable Development Goals, and gauge responses to epidemic and pandemic disease. The combination of electronic health information systems with new methods for data quality...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8436444/ https://www.ncbi.nlm.nih.gov/pubmed/34511104 http://dx.doi.org/10.1186/s12913-021-06189-7 |
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author | Nyondo, Trust Msigwa, Gisbert Cobos, Daniel Kabadi, Gregory Macha, Tumaniel Karugendo, Emilian Mugasa, Joyce Semu, Geofrey Levira, Francis Fruchtman, Carmen Sant Mwanza, James Lyatuu, Isaac Bratschi, Martin Kumalija, Claud J. Setel, Philip de Savigny, Don |
author_facet | Nyondo, Trust Msigwa, Gisbert Cobos, Daniel Kabadi, Gregory Macha, Tumaniel Karugendo, Emilian Mugasa, Joyce Semu, Geofrey Levira, Francis Fruchtman, Carmen Sant Mwanza, James Lyatuu, Isaac Bratschi, Martin Kumalija, Claud J. Setel, Philip de Savigny, Don |
author_sort | Nyondo, Trust |
collection | PubMed |
description | BACKGROUND: Monitoring medically certified causes of death is essential to shape national health policies, track progress to Sustainable Development Goals, and gauge responses to epidemic and pandemic disease. The combination of electronic health information systems with new methods for data quality monitoring can facilitate quality assessments and help target quality improvement. Since 2015, Tanzania has been upgrading its Civil Registration and Vital Statistics system including efforts to improve the availability and quality of mortality data. METHODS: We used a computer application (ANACONDA v4.01) to assess the quality of medical certification of cause of death (MCCD) and ICD-10 coding for the underlying cause of death for 155,461 deaths from health facilities from 2014 to 2018. From 2018 to 2019, we continued quality analysis for 2690 deaths in one large administrative region 9 months before, and 9 months following MCCD quality improvement interventions. Interventions addressed governance, training, process, and practice. We assessed changes in the levels, distributions, and nature of unusable and insufficiently specified codes, and how these influenced estimates of the leading causes of death. RESULTS: 9.7% of expected annual deaths in Tanzania obtained a medically certified cause of death. Of these, 52% of MCCD ICD-10 codes were usable for health policy and planning, with no significant improvement over 5 years. Of certified deaths, 25% had unusable codes, 17% had insufficiently specified codes, and 6% were undetermined causes. Comparing the before and after intervention periods in one Region, codes usable for public health policy purposes improved from 48 to 65% within 1 year and the resulting distortions in the top twenty cause-specific mortality fractions due to unusable causes reduced from 27.4 to 13.5%. CONCLUSION: Data from less than 5% of annual deaths in Tanzania are usable for informing policy. For deaths with medical certification, errors were prevalent in almost half. This constrains capacity to monitor the 15 SDG indicators that require cause-specific mortality. Sustainable quality assurance mechanisms and interventions can result in rapid improvements in the quality of medically certified causes of death. ANACONDA provides an effective means for evaluation of such changes and helps target interventions to remaining weaknesses. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06189-7. |
format | Online Article Text |
id | pubmed-8436444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84364442021-09-13 Improving quality of medical certification of causes of death in health facilities in Tanzania 2014–2019 Nyondo, Trust Msigwa, Gisbert Cobos, Daniel Kabadi, Gregory Macha, Tumaniel Karugendo, Emilian Mugasa, Joyce Semu, Geofrey Levira, Francis Fruchtman, Carmen Sant Mwanza, James Lyatuu, Isaac Bratschi, Martin Kumalija, Claud J. Setel, Philip de Savigny, Don BMC Health Serv Res Case Study BACKGROUND: Monitoring medically certified causes of death is essential to shape national health policies, track progress to Sustainable Development Goals, and gauge responses to epidemic and pandemic disease. The combination of electronic health information systems with new methods for data quality monitoring can facilitate quality assessments and help target quality improvement. Since 2015, Tanzania has been upgrading its Civil Registration and Vital Statistics system including efforts to improve the availability and quality of mortality data. METHODS: We used a computer application (ANACONDA v4.01) to assess the quality of medical certification of cause of death (MCCD) and ICD-10 coding for the underlying cause of death for 155,461 deaths from health facilities from 2014 to 2018. From 2018 to 2019, we continued quality analysis for 2690 deaths in one large administrative region 9 months before, and 9 months following MCCD quality improvement interventions. Interventions addressed governance, training, process, and practice. We assessed changes in the levels, distributions, and nature of unusable and insufficiently specified codes, and how these influenced estimates of the leading causes of death. RESULTS: 9.7% of expected annual deaths in Tanzania obtained a medically certified cause of death. Of these, 52% of MCCD ICD-10 codes were usable for health policy and planning, with no significant improvement over 5 years. Of certified deaths, 25% had unusable codes, 17% had insufficiently specified codes, and 6% were undetermined causes. Comparing the before and after intervention periods in one Region, codes usable for public health policy purposes improved from 48 to 65% within 1 year and the resulting distortions in the top twenty cause-specific mortality fractions due to unusable causes reduced from 27.4 to 13.5%. CONCLUSION: Data from less than 5% of annual deaths in Tanzania are usable for informing policy. For deaths with medical certification, errors were prevalent in almost half. This constrains capacity to monitor the 15 SDG indicators that require cause-specific mortality. Sustainable quality assurance mechanisms and interventions can result in rapid improvements in the quality of medically certified causes of death. ANACONDA provides an effective means for evaluation of such changes and helps target interventions to remaining weaknesses. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06189-7. BioMed Central 2021-09-13 /pmc/articles/PMC8436444/ /pubmed/34511104 http://dx.doi.org/10.1186/s12913-021-06189-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Case Study Nyondo, Trust Msigwa, Gisbert Cobos, Daniel Kabadi, Gregory Macha, Tumaniel Karugendo, Emilian Mugasa, Joyce Semu, Geofrey Levira, Francis Fruchtman, Carmen Sant Mwanza, James Lyatuu, Isaac Bratschi, Martin Kumalija, Claud J. Setel, Philip de Savigny, Don Improving quality of medical certification of causes of death in health facilities in Tanzania 2014–2019 |
title | Improving quality of medical certification of causes of death in health facilities in Tanzania 2014–2019 |
title_full | Improving quality of medical certification of causes of death in health facilities in Tanzania 2014–2019 |
title_fullStr | Improving quality of medical certification of causes of death in health facilities in Tanzania 2014–2019 |
title_full_unstemmed | Improving quality of medical certification of causes of death in health facilities in Tanzania 2014–2019 |
title_short | Improving quality of medical certification of causes of death in health facilities in Tanzania 2014–2019 |
title_sort | improving quality of medical certification of causes of death in health facilities in tanzania 2014–2019 |
topic | Case Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8436444/ https://www.ncbi.nlm.nih.gov/pubmed/34511104 http://dx.doi.org/10.1186/s12913-021-06189-7 |
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