Evaluation of COVID-19 Diagnosis Codes for Identification of SARS-CoV-2 Infections in a Nursing Home Cohort, 2022-2023.

IF 4.2 2区 医学 Q2 GERIATRICS & GERONTOLOGY Journal of the American Medical Directors Association Pub Date : 2025-01-18 DOI:10.1016/j.jamda.2024.105440
Arshiya Patel, Amanda B Payne, Dustin W Currie, Thomas Franceschini, Amber Gensheimer, Joseph D Lutgring, Sujan C Reddy, Kelly M Hatfield
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Abstract

Objectives: This study aimed to evaluate the utility of electronic health record (EHR) diagnosis codes for monitoring SARS-CoV-2 infections among nursing home residents.

Design: A retrospective cohort study design was used to analyze data collected from nursing homes operating under the tradename Signature Healthcare between January 2022 and June 2023.

Setting and participants: Data from 31,136 nursing home residents across 76 facilities in Kentucky, Tennessee, Indiana, Ohio, North Carolina, Georgia, Alabama, and Virginia were included.

Methods: Resident demographics, diagnosis codes associated with clinical diagnoses (including COVID-19), and SARS-CoV-2 testing information were collected from the EHR and supplemental testing data sources. We described the rates of infection and the clinical characteristics of residents with incident-positive SARS-CoV-2 tests and new-onset COVID-19 diagnoses. Positive predictive values (PPVs) of COVID-19 diagnosis codes were calculated for residents stratified by whether a resident was continuously present in a facility for ±3 days from the diagnosis onset date listed in EHRs, using positive SARS-CoV-2 tests to confirm infection.

Results: A total of 4876 incident-positive SARS-CoV-2 tests and 6346 new-onset COVID-19 diagnoses were recorded during the study period. Weekly rates of new-onset diagnoses were significantly higher than positive test rates, although trends followed similar trajectories. Among residents continuously present in the nursing home ±3 days from the diagnosis onset date, the PPV of COVID-19 diagnosis codes was high (3395 of 3685 = 92%; 95% CI, 91%-93%). The PPV among this group significantly varied by study quarter (P < .001). The PPV was substantially lower for 2661 diagnoses among residents not continuously present in the nursing home (24%; 95% CI, 22%-26%).

Conclusions and implications: This study demonstrates the utility of diagnosis codes for assessment of COVID-19 epidemiology and trends when testing data are unavailable for residents during their stay in a nursing home. Future research should explore strategies to evaluate the utility of diagnosis codes at admission and discharge to nursing homes to enhance surveillance efforts.

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2022-2023年敬老院队列SARS-CoV-2感染诊断代码评价
目的:本研究旨在评估电子健康档案(EHR)诊断代码在养老院居民SARS-CoV-2感染监测中的应用价值。设计:采用回顾性队列研究设计,分析从2022年1月至2023年6月以Signature Healthcare商标经营的养老院收集的数据。环境和参与者:来自肯塔基州、田纳西州、印第安纳州、俄亥俄州、北卡罗来纳州、佐治亚州、阿拉巴马州和弗吉尼亚州76家养老院的31,136名养老院居民的数据包括在内。方法:从电子病历和补充检测数据源中收集居民人口统计信息、与临床诊断(包括COVID-19)相关的诊断代码和SARS-CoV-2检测信息。我们描述了SARS-CoV-2检测阳性和新发COVID-19诊断的居民的感染率和临床特征。根据居民是否从电子病历中列出的诊断发病日期起连续在医疗机构中居住±3天,使用阳性SARS-CoV-2检测确认感染,对分层居民计算COVID-19诊断代码的阳性预测值(ppv)。结果:在研究期间,共记录4876例SARS-CoV-2事件阳性检测和6346例新发COVID-19诊断。每周新发诊断率明显高于阳性检测率,尽管趋势遵循相似的轨迹。在自诊断发病日起±3 d内持续在养老院居住的居民中,COVID-19诊断代码PPV较高(3685 / 3395 = 92%;95% ci, 91%-93%)。两组患者的PPV在不同研究季度间差异有统计学意义(P < 0.001)。在没有持续住在养老院的居民中,2661例诊断的PPV明显较低(24%;95% ci, 22%-26%)。结论和意义:本研究表明,当居民在养老院居住期间无法获得检测数据时,诊断代码在评估COVID-19流行病学和趋势方面的效用。未来的研究应探索评估疗养院入院和出院时诊断代码的效用的策略,以加强监测工作。
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来源期刊
CiteScore
11.10
自引率
6.60%
发文量
472
审稿时长
44 days
期刊介绍: JAMDA, the official journal of AMDA - The Society for Post-Acute and Long-Term Care Medicine, is a leading peer-reviewed publication that offers practical information and research geared towards healthcare professionals in the post-acute and long-term care fields. It is also a valuable resource for policy-makers, organizational leaders, educators, and advocates. The journal provides essential information for various healthcare professionals such as medical directors, attending physicians, nurses, consultant pharmacists, geriatric psychiatrists, nurse practitioners, physician assistants, physical and occupational therapists, social workers, and others involved in providing, overseeing, and promoting quality
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