Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis.

IF 3.3 3区 医学 Q2 MEDICAL INFORMATICS
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
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引用次数: 0

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.

喀麦隆雅温得的死亡率和发病率模式:基于 ICD-11 分类的分析。
背景:在喀麦隆,与其他许多资源有限的国家一样,卫生机构生成的数据(包括发病率和死亡率参数)并不总是统一的。由于缺乏实现数据标准化和统一化所需的国家指导方针,因此无法保证有效决策所需的数据准确性。本研究旨在评估医疗机构中发病率和死亡率数据的报告方式:方法:2022 年 5 月至 6 月在雅温得中心医院开展了一项以机构为基础的横断面研究。调查问卷用于评估建立标准工具以改进报告系统的必要性。病历用于收集死亡率和发病率数据,然后与《疾病和相关健康问题国际统计分类-11》(ICD-11)的编码进行比较。数据使用 IBM-SPSS 26 版进行分析:在记录的 200 名患者的发病原因中,有近四分之三(74.0%)的发病原因是不同的,有五分之二(41.0%)的死亡原因也是不同的。大多数受访者(83.6%)表示有必要建立收集死亡率和发病率数据的标准工具。不到五分之一(18.2%)的医疗服务提供者能够理解数据流、正确存档数据(36.6%)并使用电子工具进行数据质量控制(40.0%):结论:2021 年雅温得中心医院住院病人的发病率和死亡率存在很大差异。因此,喀麦隆国家卫生当局亟需实施 ICD-11,以便系统地记录、分析、解释和比较雅温得中心医院在不同时期收集的死亡率和发病率数据,并确保记录数据的互操作性和可重用性,以支持医疗决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
5.70%
发文量
297
审稿时长
1 months
期刊介绍: BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.
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