Identifying Co-occurring Disorders Among Patients With an Opioid involved Hospital Encounter Using National Hospital Care Survey Data.

Amy M Brown, Donielle G White, Nikki B Adams, Adaeze O'Jiaku-Okorie, Rihem Badwe, Pharm D, Salah Shaikh, Adewumi Adegboye
{"title":"Identifying Co-occurring Disorders Among Patients With an Opioid involved Hospital Encounter Using National Hospital Care Survey Data.","authors":"Amy M Brown,&nbsp;Donielle G White,&nbsp;Nikki B Adams,&nbsp;Adaeze O'Jiaku-Okorie,&nbsp;Rihem Badwe,&nbsp;Pharm D,&nbsp;Salah Shaikh,&nbsp;Adewumi Adegboye","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>This report documents the development of the 2016 National Hospital Care Survey (NHCS) Co-occurring Disorders Algorithm, which can be used to identify patients with an opioid-involved hospital encounter who had lifetime diagnoses of both a substance use disorder and a selected mental health issue. Lifetime diagnoses are defined as diagnoses at any point in the past or during the current encounter. This algorithm was created to complement the earlier NHCS Enhanced Opioid Identification Algorithm designed to improve the classification of patients with opioid-involved hospital encounters.</p>","PeriodicalId":38828,"journal":{"name":"Vital and health statistics. Ser. 1: Programs and collection procedures","volume":" 193","pages":"1-21"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vital and health statistics. Ser. 1: Programs and collection procedures","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

This report documents the development of the 2016 National Hospital Care Survey (NHCS) Co-occurring Disorders Algorithm, which can be used to identify patients with an opioid-involved hospital encounter who had lifetime diagnoses of both a substance use disorder and a selected mental health issue. Lifetime diagnoses are defined as diagnoses at any point in the past or during the current encounter. This algorithm was created to complement the earlier NHCS Enhanced Opioid Identification Algorithm designed to improve the classification of patients with opioid-involved hospital encounters.

分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用国家医院护理调查数据识别阿片类药物涉及医院就诊的患者中共发生的疾病。
本报告记录了2016年国家医院护理调查(NHCS)共发生疾病算法的发展,该算法可用于识别终身诊断为物质使用障碍和选定精神健康问题的阿片类药物相关医院就诊患者。终身诊断定义为过去或当前遇到的任何时间点的诊断。该算法的创建是为了补充早期的NHCS增强型阿片类识别算法,该算法旨在改进与阿片类药物相关的医院就诊患者的分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.50
自引率
0.00%
发文量
0
期刊介绍: Reports describing the general programs of the National Center for Health Statistics and its offices and divisions and the data collection methods used. Series 1 reports also include definitions and other material necessary for understanding the data.
期刊最新文献
Plan and Operations of the National Health and Nutrition Examination Survey, August 2021-August 2023. Assessing Laboratory Method Validations for Informing Inference Across Survey Cycles in the National Health and Nutrition Examination Survey. Developing Sampling Weights for Statistical Analysis of Parent-Child Pair Data From the National Health Interview Survey. Validation of the Enhanced Opioid Identification and Co-occurring Disorders Algorithms. National Center for Health Statistics' 2019 Research and Development Survey, RANDS 3.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1