Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis
Abstract Background In Cameroon, like in many other resource-limited countries, data generated by health settings including morbidity and mortality parameters are not always uniform. In the absence of a national guideline necessary for the standardization and harmonization of data, precision of data...
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BMC
2025-01-01
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| Series: | BMC Medical Informatics and Decision Making |
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| Online Access: | https://doi.org/10.1186/s12911-025-02854-7 |
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| author | Georges Nguefack-Tsague Fabrice Zobel Lekeumo Cheuyem Boris Edmond Noah Valérie Ndobo-Koe Adidja Amani Léa Melataguia Mekontchou Marie Ntep Gweth Annick Collins Mfoulou Minso Assala Marie Nicole Ngoufack Pierre René Binyom |
| author_facet | Georges Nguefack-Tsague Fabrice Zobel Lekeumo Cheuyem Boris Edmond Noah Valérie Ndobo-Koe Adidja Amani Léa Melataguia Mekontchou Marie Ntep Gweth Annick Collins Mfoulou Minso Assala Marie Nicole Ngoufack Pierre René Binyom |
| author_sort | Georges Nguefack-Tsague |
| collection | DOAJ |
| description | Abstract Background In Cameroon, like in many other resource-limited countries, data generated by health settings including morbidity and mortality parameters are not always uniform. In the absence of a national guideline necessary for the standardization and harmonization of data, precision of data required for effective decision-making is therefore not guaranteed. The objective of the present study was to assess the reporting style of morbidity and mortality data in healthcare settings. Methods An institutional-based cross-sectional study was carried out from May to June 2022 at the Yaoundé Central Hospital. A questionnaire was used to assess the need to set up a standard tool to improve the reporting system. Medical records were used to collect mortality and morbidity data which were then compared to the International Statistical Classification of Diseases and Related Health Problems-11 (ICD-11) codification. Data were analyzed using IBM-SPSS version 26. Results Out of 200 patients’ morbidity causes recorded, nearly three-quarter (74.0%) were heterogeneous, and two over five (41.0%) of mortality causes reported were also heterogeneous. Most of respondents stated the need to set up a standard tool for collecting mortality and morbidity data (83.6%). Less than one-fifth (18.2%) of health care providers were able to understand data flow, correctly archived data (36.6%) and used electronic tools for data quality control (40.0%). Conclusion There were high levels of heterogeneities of morbidity and mortality causes among patients admitted to the Yaoundé Central Hospital in 2021. It is therefore urgent that Cameroon national health authorities implement the ICD-11 to allow the systematic recording, analysis, interpretation and comparison of mortality and morbidity data collected in Yaoundé Central Hospital at different times; and ensure interoperability and reusability of recorded data for medical decision support. |
| format | Article |
| id | doaj-art-4398469633de4446becdfbfd5575e384 |
| institution | Kabale University |
| issn | 1472-6947 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj-art-4398469633de4446becdfbfd5575e3842025-01-19T12:26:02ZengBMCBMC Medical Informatics and Decision Making1472-69472025-01-012511710.1186/s12911-025-02854-7Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysisGeorges Nguefack-Tsague0Fabrice Zobel Lekeumo Cheuyem1Boris Edmond Noah2Valérie Ndobo-Koe3Adidja Amani4Léa Melataguia Mekontchou5Marie Ntep Gweth6Annick Collins Mfoulou Minso Assala7Marie Nicole Ngoufack8Pierre René Binyom9Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé IDepartment of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé IHigher Institute of Medical TechnologyDepartment of Internal Medicine and specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé IDepartment of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé IHigher Institute of Medical TechnologyYaoundé Central HospitalYaoundé Emergency Center (CURY)Challenges Initiative SolutionsHigher Institute of Medical TechnologyAbstract Background In Cameroon, like in many other resource-limited countries, data generated by health settings including morbidity and mortality parameters are not always uniform. In the absence of a national guideline necessary for the standardization and harmonization of data, precision of data required for effective decision-making is therefore not guaranteed. The objective of the present study was to assess the reporting style of morbidity and mortality data in healthcare settings. Methods An institutional-based cross-sectional study was carried out from May to June 2022 at the Yaoundé Central Hospital. A questionnaire was used to assess the need to set up a standard tool to improve the reporting system. Medical records were used to collect mortality and morbidity data which were then compared to the International Statistical Classification of Diseases and Related Health Problems-11 (ICD-11) codification. Data were analyzed using IBM-SPSS version 26. Results Out of 200 patients’ morbidity causes recorded, nearly three-quarter (74.0%) were heterogeneous, and two over five (41.0%) of mortality causes reported were also heterogeneous. Most of respondents stated the need to set up a standard tool for collecting mortality and morbidity data (83.6%). Less than one-fifth (18.2%) of health care providers were able to understand data flow, correctly archived data (36.6%) and used electronic tools for data quality control (40.0%). Conclusion There were high levels of heterogeneities of morbidity and mortality causes among patients admitted to the Yaoundé Central Hospital in 2021. It is therefore urgent that Cameroon national health authorities implement the ICD-11 to allow the systematic recording, analysis, interpretation and comparison of mortality and morbidity data collected in Yaoundé Central Hospital at different times; and ensure interoperability and reusability of recorded data for medical decision support.https://doi.org/10.1186/s12911-025-02854-7MorbidityMortalityICDYaoundé |
| spellingShingle | Georges Nguefack-Tsague Fabrice Zobel Lekeumo Cheuyem Boris Edmond Noah Valérie Ndobo-Koe Adidja Amani Léa Melataguia Mekontchou Marie Ntep Gweth Annick Collins Mfoulou Minso Assala Marie Nicole Ngoufack Pierre René Binyom Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis BMC Medical Informatics and Decision Making Morbidity Mortality ICD Yaoundé |
| title | Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis |
| title_full | Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis |
| title_fullStr | Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis |
| title_full_unstemmed | Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis |
| title_short | Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis |
| title_sort | mortality and morbidity patterns in yaounde cameroon an icd 11 classification based analysis |
| topic | Morbidity Mortality ICD Yaoundé |
| url | https://doi.org/10.1186/s12911-025-02854-7 |
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