使用国家医院护理调查数据加强阿片类药物相关健康结果的识别。

Q3 Medicine

Vital and health statistics. Ser. 1: Programs and collection procedures Pub Date : 2021-10-01

Donielle G White, Nikki B Adams, Amy M Brown, Adaeze O'Jiaku-Okorie, Rihem Badwe, Salah Shaikh, Adewumi Adegboye

{"title":"使用国家医院护理调查数据加强阿片类药物相关健康结果的识别。","authors":"Donielle G White, Nikki B Adams, Amy M Brown, Adaeze O'Jiaku-Okorie, Rihem Badwe, Salah Shaikh, Adewumi Adegboye","doi":"","DOIUrl":null,"url":null,"abstract":"Objectives This report documents the development of the 2016 National Hospital Care Survey (NHCS) Enhanced Opioid Identification Algorithm, an algorithm that can be used to identify opioid-involved and opioid overdose hospital encounters. Additionally, the algorithm can be used to identify opioids and opioid antagonists that can be used to reverse opioid overdose (naloxone) and to treat opioid use disorder (naltrexone).","PeriodicalId":38828,"journal":{"name":"Vital and health statistics. Ser. 1: Programs and collection procedures","volume":" 188","pages":"1-31"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing Identification of Opioid-involved Health Outcomes Using National Hospital Care Survey Data.\",\"authors\":\"Donielle G White, Nikki B Adams, Amy M Brown, Adaeze O'Jiaku-Okorie, Rihem Badwe, Salah Shaikh, Adewumi Adegboye\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objectives This report documents the development of the 2016 National Hospital Care Survey (NHCS) Enhanced Opioid Identification Algorithm, an algorithm that can be used to identify opioid-involved and opioid overdose hospital encounters. Additionally, the algorithm can be used to identify opioids and opioid antagonists that can be used to reverse opioid overdose (naloxone) and to treat opioid use disorder (naltrexone).\",\"PeriodicalId\":38828,\"journal\":{\"name\":\"Vital and health statistics. Ser. 1: Programs and collection procedures\",\"volume\":\" 188\",\"pages\":\"1-31\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-01\",\"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}","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

摘要

本报告记录了2016年国家医院护理调查(NHCS)增强阿片类药物识别算法的发展，该算法可用于识别阿片类药物涉及和阿片类药物过量的医院遭遇。此外，该算法可用于识别阿片类药物和阿片类拮抗剂，可用于逆转阿片类药物过量(纳洛酮)和治疗阿片类药物使用障碍(纳曲酮)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

本刊更多论文

Enhancing Identification of Opioid-involved Health Outcomes Using National Hospital Care Survey Data.

Objectives This report documents the development of the 2016 National Hospital Care Survey (NHCS) Enhanced Opioid Identification Algorithm, an algorithm that can be used to identify opioid-involved and opioid overdose hospital encounters. Additionally, the algorithm can be used to identify opioids and opioid antagonists that can be used to reverse opioid overdose (naloxone) and to treat opioid use disorder (naltrexone).

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Vital and health statistics. Ser. 1: Programs and collection procedures Medicine-Medicine (all)

CiteScore

2.50

自引率

0.00%

发文量

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.