使用全国医院护理调查数据识别阿片类药物患者在医院遭遇中的共病。

Q3 Medicine

Vital and health statistics. Ser. 1: Programs and collection procedures Pub Date : 2022-09-01 DOI:10.15620/cdc:119155

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

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引用次数: 0

摘要

本报告记录了2016年全国医院护理调查（NHCS）并发疾病算法的发展，该算法可用于识别在医院遭遇阿片类药物的患者，这些患者一生都被诊断为物质使用障碍和选定的心理健康问题。终身诊断被定义为在过去或当前遭遇中的任何时候的诊断。创建该算法是为了补充早期的NHCS增强型阿片类药物识别算法，该算法旨在改进与阿片类物质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。

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

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.

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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.