Social determinants of injury-attributed mortality in Papua New Guinea: new data from the Comprehensive Health and Epidemiological Surveillance System.
Social determinants of injury-attributed mortality in Papua New Guinea: new data from the Comprehensive Health and Epidemiological Surveillance System.
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DOI：
10.1136/bmjopen-2022-064777
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发表时间：
2022-11-18
期刊：
影响因子：
2.9
通讯作者：
中科院分区：
文献类型：
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这项研究报告了巴布亚新几内亚(PNG)可归因于伤害的死亡率和社会人口分布。作为纵向研究的一部分，从居住在巴新六个主要省份建立的综合卫生和流行病监测系统的八个监测点的人口中收集了死亡率数据。2018年1月至2020年12月，监测小组使用世卫组织2016年尸检仪器对死者的近亲进行了口头尸检(VA)访谈。使用InterVA-5诊断工具对926例VA访谈的死亡率数据进行分析，以确定具体的死因(COD)。计算伤害归因性死亡率的分布，并进行多项Logistic回归分析以确定社会人口学因素，并提供OR、95%的估计值和p值。因伤死亡占监测人口记录的总死亡人数的13%，其中马当所占比例最高(22%)，其次是莫尔兹比港和中央省(13%)。道路交通事故是最主要的死亡原因，占伤害死亡总数的43%，其次是袭击(25%)和意外跌落(10%)。年轻人(15-24岁)在伤害导致的死亡中所占比例最大(34%)，死于伤害的可能性几乎是75岁以上人群的6倍(OR：5.89%(95%可信区间：2.18%至15.9%)；p<；0.001)。男性死于伤害的可能性是女性的两倍(OR：2.0(95%CI：1.193.36)；p=0.009)。与伤害导致的死亡率增加相关的另一个重要的社会人口学因素包括城市和农村的居住地(OR：2.0(95%CI：1.01至3.99)；p=0.048)。年轻人，特别是生活在城市地区的年轻人，死于伤害的风险最高。需要公共卫生政策和干预措施来减少巴布亚新几内亚因受伤而过早死亡的情况。
This study reported the prevalence and sociodemographic distribution of mortalities attributed to injuries in Papua New Guinea (PNG). As part of a longitudinal study, mortality data were collected from the population who live in eight surveillance sites of the Comprehensive Health and Epidemiological Surveillance System, established in six major provinces in PNG. Verbal autopsy (VA) interviews were conducted by the surveillance team with close relatives of the deceased, using the WHO 2016 VA instrument from January 2018 to December 2020. Mortality data from 926 VA interviews were analysed, using the InterVA-5 diagnostic tool to assign specific cause of death (COD). Distributions of injury-attributed mortality were calculated and multinomial logistic regression analyses were conducted to identify sociodemographic factors and provide ORs, 95% CIs of estimates and p values. Injury-attributed deaths accounted for 13% of the total deaths recorded in the surveillance population, with the highest proportion in Madang (22%), followed by Port Moresby and Central Province (13%). Road traffic accidents were the leading COD, accounting for 43% of the total injury-attributed deaths, followed by assaults (25%) and accidental falls (10%). Young adults (aged 15–24 years) accounted the largest proportion of injury-attributed deaths (34%) and were nearly six times more likely to die from injuries than those aged 75+ years (OR: 5.89 (95% CI: 2.18 to 15.9); p<0.001). Males were twice more likely to die from injuries than females (OR: 2.0 (95% CI: 1.19 to 3.36); p=0.009). Another significant sociodemographic factor associated with the increased injury-attributed mortalities included urban versus rural residence (OR: 2.0 (95% CI: 1.01 to 3.99); p=0.048). Young adults, particularly those who live in urban areas, were at the highest risk of dying from injuries. Public health policies and interventions are needed to reduce premature mortality from injuries in PNG.
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影响因子：
2.9
作者：
Bang Nguyen Pham;Abori, Norah;Silas, Vinson D.;Jorry, Ronny;Rao, Chalapati;Okely, Tony;Pomat, Willie
通讯作者：
Pomat, Willie
估计巴布亚新几内亚的次国国家级别的儿童死亡率：来自综合健康和人口监测系统的证据。
影响因子：
5.2
作者：
Pham BN;Emori RB;Ha T;Parrish AM;Okely AD
通讯作者：
Okely AD
影响因子：
12.7
作者：
Newgard, Craig D.;Schmicker, Robert H.;Warden, Craig R.
通讯作者：
Warden, Craig R.
DOI：
10.1016/0160-7995(81)90006-x
发表时间：
1981-01-01
期刊：
SOCIAL SCIENCE & MEDICINE PART C-MEDICAL ECONOMICS
影响因子：
--
作者：
BERREBI, ZM;SILBER, J
通讯作者：
SILBER, J
影响因子：
9.3
作者：
Byass, Peter;Hussain-Alkhateeb, Laith;Petzold, Max
通讯作者：
Petzold, Max