Validating reported cause of death using integrated electronic health records from a nation-wide database

Author:

Leventer-Roberts Maya12,Haklai Ziona3,Applbaum Yael3,Goldberger Nehama3,Cohen Dror1,Levinkron Ohad1,Feldman Becca1,Balicer Ran145

Affiliation:

1. Clalit Research Institute, Clalit Health Services, 6209804 Tel Aviv, Israel

2. Department of Pediatrics and Preventive Medicine, Icahn School of Medicine at Mount Sinai, 10029 New York, New York

3. Health Information Division, Ministry of Health, 9446724 Jerusalem, Israel

4. Cheif Physician's Office, Clalit Health Services, 6209804 Tel Aviv, Israel

5. Public Health Department, Ben-Gurion University of the Negev

Abstract

Abstract Background To compare the underlying cause of death reported by the Israeli Central Bureau of Statistics (CBS) with diagnoses in the electronic health records (EHR) of a fully integrated payer/provider healthcare system. Methods Underlying cause of death was obtained from the CBS for deaths occurring during 2009–2012 of all Clalit Health Service members in Israel. The final cohort consisted of members who had complete medical records. The frequency of a supportive diagnosis in the EHR was reported for 10 leading causes of death (malignancies, heart disease, cerebrovascular disease, diabetes, kidney disease, septicemia, accidents, chronic lower respiratory disease, dementia and pneumonia and influenza). Results Of the 45 680 members included in the study, the majority of deaths had at least one diagnosis in the EHR that could support the cause of death. The lowest frequency of supportive diagnosis was for septicemia (52.2%) and the highest was for malignancies (94.3%). Sensitivity analysis did not suggest an alternative explanation for the missing documentation. Conclusions The underlying cause of death coded by the CBS is often supported by diagnoses in Clalit’s EHR. Exceptions are septicemia or accidents that cannot be anticipated from a patient’s EHR, and dementia which may be under-reported.

Funder

agencies in the public, commercial, or not-for-profit sectors

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,General Medicine

Reference30 articles.

1. Real-time prediction of mortality, readmission, and length of stay using electronic health record data;Cai;J Am Med Inform Assoc,2016

2. Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models;Amarasingham;BMC Med Inform Decis Mak,2015

3. Measuring NHS performance 1990-2009 using amenable mortality: interpret with care;Desai;J R Soc Med,2011

4. Improvement of the quality and comparability of causes-of-death statistics inside the European Community. EUROSTAT Task Force on "causes of death statistics"Jougla;Rev Epidemiol Sante Publique,1998

5. Systematic review of statistics on causes of deaths in hospitals: strengthening the evidence for policy-makers;Rampatige;Bull World Health Organ,2014

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3