改进可比死亡率原因测量方法（IMMCMC）金标准死因推断数据集。

Improving methods to measure comparable mortality cause (IMMCMC) gold standard verbal autopsy dataset.

机构信息

School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.

Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA.

出版信息

BMC Res Notes. 2021 Nov 23;14(1):422. doi: 10.1186/s13104-021-05834-y.

DOI:10.1186/s13104-021-05834-y

PMID:34814930

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8609765/

Abstract

OBJECTIVES

Gold standard cause of death data is critically important to improve verbal autopsy (VA) methods in diagnosing cause of death where civil and vital registration systems are inadequate or poor. As part of a three-country research study-Improving Methods to Measure Comparable Mortality by Cause (IMMCMC) study-data were collected on clinicopathological criteria-based gold standard cause of death from hospital record reviews with matched VAs. The purpose of this data note is to make accessible a de-identified format of these gold standard VAs for interested researchers to improve the diagnostic accuracy of VA methods.

DATA DESCRIPTION

The study was conducted between 2011 and 2014 in the Philippines, Bangladesh, and Papua New Guinea. Gold standard diagnoses of underlying causes of death for deaths occurring in hospital were matched to VAs conducted using a standardized VA questionnaire developed by the Population Health Metrics Consortium. 3512 deaths were collected in total, comprised of 2491 adults (12 years and older), 320 children (28 days to 12 years), and 702 neonates (0-27 days).

摘要

目的

对于民事和生命登记系统不完善或较差的地区，金标准死因数据对于改进死因推断（VA）方法至关重要。作为三国有害因素监测与病因推断研究（IMMCMC）的一部分，通过对医院记录审查中基于临床病理标准的金标准死因进行匹配的 VA 来收集死因数据。本数据说明的目的是提供这些金标准 VA 的去识别格式，供有兴趣的研究人员使用，以提高 VA 方法的诊断准确性。

数据描述

该研究于 2011 年至 2014 年在菲律宾、孟加拉国和巴布亚新几内亚进行。对在医院发生的死亡病例进行了金标准死因诊断，与使用人口健康计量学联盟制定的标准化 VA 问卷进行的 VA 相匹配。共收集了 3512 例死亡病例，其中包括 2491 例成年人（12 岁及以上）、320 例儿童（28 天至 12 岁）和 702 例新生儿（0-27 天）。