乳腺癌在埃塞俄比亚北部提格雷的影响:e-HMIS数据库回顾和分析

Kiros Fenta Ajemu, A. Desta, Nega Mamo Bezabih
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引用次数: 1

摘要

背景:乳腺癌是埃塞俄比亚一种新出现的非传染性疾病。这项研究的目的是评估乳腺癌对埃塞俄比亚北部提格雷市的影响。方法:从提格雷地区卫生局2011-2017年卫生管理信息系统数据库(e-HMIS)中扫描回顾性二手数据。2018年6 - 7月进行数据提取和分析。扫描数据在Excel表格中过滤,导出到SPSS版本21进行进一步统计分析。最后,使用描述性统计数据,使用表格和折线图显示乳腺癌在发病率和死亡率方面的影响。结果:研究期间共登记了4630例癌症病例。其中1250例(26.9%)为乳腺癌新发病例。在15岁及以上年龄组的男性和女性中,乳腺癌发病率和死亡率的比例都很高。在整个研究期间,乳腺癌死亡率为2.3%。与2011年的基线数据相比,2017年乳腺癌发病率下降了近一半,死亡率下降了12.7%。结论:研究结果显示,乳腺癌发病率和死亡率呈高趋势。这种严重影响除了造成传染病外,还可能造成额外负担,造成产妇疾病和死亡。因此,需要其他系统研究来确定其本地预测因子,以便有效地启动适当的干预措施。
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Impact of Breast Cancer in Tigray, Northern Ethiopia: Retrospective e-HMIS Data Base Review and Analysis
Background: Breast cancer is an emerging non-communicable disease in Ethiopia. The aim of the study was to assess the impact of breast cancer in Tigray, Northern Ethiopia. Methods: Retrospective secondary data were scanned from health management information system data base (e-HMIS) at Tigray Regional Health Bureau from 2011-2017. Data abstraction and analysis were conducted from June to July 2018. Scanned data were filtered in Excel- sheet and exported to SPSS version 21 for further statistical analysis. Finally, descriptive statistics were used to display finding of impact of breast cancer in terms of its morbidity and mortality rate using table and line graph. Results: A total of 4630 cancer cases were registered during the study period. Of which, 1250 (26.9%) were new cases of breast cancer. high proportion of breast cancer morbidity and mortality was observed in age category of 15 years of age and above in both men and women. Over all breast cancer mortality was 2.3% during the study period. The trend of breast cancer morbidity was picked by nearly half and its mortality rate by 12.7% in year 2017 when compared with base line data in 2011. Conclusion: The study finding revealed that high breast cancer morbidity and mortality trend were observed. This high impact might result additional burden causing maternal illness and death in addition to communicable disease. Therefore, other systematic studies needed to identify its indigenous predictors for initiating appropriate interventions efficiently.
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