...
首页> 外文期刊>BMC Public Health >Estimating the pattern of causes of death in Papua New Guinea
【24h】

Estimating the pattern of causes of death in Papua New Guinea

机译:估计巴布亚新几内亚死亡原因模式

获取原文
           

摘要

BACKGROUND:Papua New Guinea (PNG) is a diverse country with high mortality and evidence of increased prevalence of non-communicable diseases (NCDs), but there is no reliable cause of death (COD) data because civil registration is insufficient and routine health data comprise only a small proportion of deaths. This study aims to estimate cause-specific mortality fractions (CSMFs) for five broad groups of causes (endemic infections, emerging infections, endemic NCDs, emerging NCDs and injuries), by sex for each of PNG's provinces.METHODS:CSMFs are calculated as the average of estimates obtained from: (1) Empirical cause method: Utilising available Verbal Autopsy (VA) data and Discharge Health Information System (DHIS) data, and applying statistical models of community versus facility CODs; and (2) Expected cause patterns method: Utilising existing estimates of mortality levels in each province and statistical models of the relationship between all-cause and cause-specific mortality using Global Burden of Disease (GBD) data.RESULTS:An estimated 41% of male and 49% of female deaths in PNG are due to infectious, maternal (female only), neonatal and nutritional causes. Furthermore, 45% of male and 42% of female deaths arise from NCDs. Infectious diseases, maternal, neonatal and nutritional conditions account for more than half the deaths in a number of provinces, including lower socioeconomic status provinces of Gulf and Sandaun, while provinces with higher CSMFs from emerging NCDs (e.g. ischemic heart disease, stroke) tend to be those where socioeconomic status is comparatively high (e.g. National Capital District, Western Highlands Province, Manus Province, New Ireland Province and East New Britain Province). Provinces with the highest estimated proportion of deaths from emerging infectious diseases are readily accessible by road and have the highest rates of sexually transmitted infections (STIs), while provinces with the highest CSMFs from endemic infectious, maternal, neonatal and nutritional causes are geographically isolated, have high malaria and high all-cause mortality.CONCLUSIONS:Infectious, maternal, neonatal and nutritional causes continue to be an important COD in PNG, and are likely to be higher than what is estimated by the GBD. Nonetheless, there is evidence of the emergence of NCDs in provinces with higher socioeconomic status. The introduction of routine VA for non-facility deaths should improve COD data quality to support health policy and planning to control both infectious and NCDs.
机译:背景:巴布亚新几内亚(PNG)是一种不同的国家,具有高死亡率和缺乏不可传染性疾病(NCD)的普遍性,但没有可靠的死亡原因(COD)数据,因为民事登记不足,常规健康数据仅包含一小部分死亡。本研究旨在通过为每一个PNG省份的性别估算五个广泛的原因(流动性感染,新兴感染,流动性NCD,新兴NCD和伤害)的原因特异性死亡率(CSMF)。方法:CSMF计算为从以下内容获得的估计的平均值:(1)经验原因方法:利用可用的口头尸检(VA)数据和放电健康信息系统(DHIS)数据,并应用社区与设施COD的统计模型; (2)预期原因模式方法:利用每个省的现有死亡率估计和使用全球疾病负担(GBD)数据的全部原因和造成特异性死亡之间的关系的统计模型。结果:估计的41% PNG中的男性和49%的女性死亡将是由于传染性,孕产妇(仅限女性),新生儿和营养原因。此外,45%的男性和42%的女性死亡来自NCD。传染病,孕产妇,新生儿和营养状况占多个省份的一半以上的死亡人数,包括较低的社会经济地位省份的海湾和桑亨,而具有较高的CSMF的省份来自新兴的NCD(例如缺血性心脏病,中风)倾向于是社会经济现状比较高的人(例如,西部地区,西部高地省,兰斯省,新爱尔兰省和东新英国省)。省份具有最高估计的估计新兴传染病的死亡比例的比例易于通过道路易于获得,具有最高的性传播感染率(STI),而具有特种流动性传染病,孕产妇,新生儿和营养原因的最高CSMF的省份在地理上被隔离,患有高疟疾和高的全原性死亡率。结论:传染性,孕产妇,新生儿和营养原因在PNG中持续成为一个重要的COD,并且可能高于GBD估计的重要鳕鱼。尽管如此,有证据表明,具有较高社会经济地位的省份的NCD。用于非设施死亡的常规VA的引入应提高COD数据质量,以支持健康政策,并计划控制传染性和NCD。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号