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Saving lives through certifying deaths: assessing the impact of two interventions to improve cause of death data in Perú

机译:通过确认死亡来挽救生命:评估两种干预措施以改善秘鲁的死因数据的影响

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Mortality statistics derived from cause of death data are an important source of information for population health monitoring, priority setting and planning. In Perú, almost all death certificates are issued by doctors because it is a legal requirement. However, the quality of cause of death data is poor. In August 2016, the Ministry of Health of Perú decided to make two specific interventions to improve cause of death data: to introduce an online death certification system and to train doctors in standard death certification practices. The study comprised a random sample of 300 pre-intervention death certificates, 900 death certificates that were part of the online intervention, and 900 death certificates that were part of both the online and training interventions. All the deaths had occurred between January and September 2017. We used the Assessing the quality of death certification tool from the University of Melbourne for the assessment. We examined the frequency of common errors in death certificates, the frequency of any error and the average error score for each category of: age group, sex, doctor’s seniority, doctor’s speciality, level of health facility and broad cause of death. The average error score declined by 38% due to the online intervention and by a further 26% due to the training intervention. Improved certification practices remained after controlling for potentially confounding factors. Main improvements were reductions in the absence of a time interval (66% of certificates), incorrect sequence of causes (22%), and ill-defined conditions (13%). This study demonstrates how the two interventions introduced by the Ministry of Health in Perú improved the correctness of death certificates. The study also provides evidence on necessary changes to the training program to address the poor certification practices that have remained after implementation of the online system.
机译:从死亡原因数据得出的死亡率统计数据是进行人口健康监测,确定重点和计划的重要信息来源。在秘鲁,由于法律要求,几乎所有死亡证明都是由医生签发的。但是,死亡原因数据的质量很差。 2016年8月,秘鲁卫生部决定采取两项具体干预措施来改善死亡原因数据:引入在线死亡证明系统以及对医生进行标准死亡证明做法的培训。该研究包括300份干预前死亡证明,900份死亡证明(是在线干预的一部分)和900份死亡证明(是在线干预和培训干预的一部分)的随机样本。所有死亡均发生在2017年1月至2017年9月之间。我们使用墨尔本大学的评估死亡质量证明工具进行评估。我们检查了死亡证明书中常见错误的发生率,任何错误的发生率以及以下类别中每个类别的平均错误评分:年龄组,性别,医生的资历,医生的专长,医疗机构的水平和广泛的死亡原因。由于在线干预,平均错误评分下降了38%,而由于培训干预,平均错误评分又下降了26%。在控制潜在的混杂因素之后,仍保持了改进的认证实践。主要的改进是减少了没有时间间隔(证书的66%),错误的原因顺序(22%)和不确定的条件(13%)。这项研究证明了卫生部在秘鲁实施的两种干预措施如何提高死亡证明的正确性。该研究还提供了有关培训计划必要变更的证据,以解决实施在线系统后仍然存在的不良认证做法。

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