{"title":"在 COVID-19 大流行期间,通过以医院为基础的健康信息交换对阿尔茨海默病和相关痴呆症患者进行可预防的急诊就诊。","authors":"Nianyang Wang, Teagan Knapp Maguire, Jie Chen","doi":"10.1177/23337214241244984","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background:</b> This study examined the relationship between hospital-based electronic health information exchange (HIE) and the likelihood of having a preventable emergency department (ED) visit during the COVID-19 pandemic for US patients with Alzheimer's Disease and Related Dementias (ADRD). <b>Methods</b>: We used multi-level data from six states. The linked data sets included the 2020 State Emergency Department Databases (SEDD), the Area Health Resources File, the American Hospital Association (AHA) Annual Survey, and the AHA Information Technology Supplement to study 85,261 hospital discharges from patients with ADRD. Logistic regression models were produced to determine the odds of having a preventable ED visit among patients with ADRD. <b>Results</b>: Our final sample included 85,261 hospital discharges from patients with ADRD. Patients treated in hospitals that received more types of clinical information for treating patients with COVID-19 from outside providers (<i>OR</i> = 0.961, <i>p</i> < .05) and/or hospitals that received COVID-19 test results from more outside entities were significantly less likely to encounter preventable EDs (<i>OR</i> = 0.964, <i>p</i> < .05), especially among patients who also had multiple chronic conditions (MCC) (<i>OR</i> = 0.89, <i>p</i> = .001; <i>OR</i> = 0.856, <i>p</i> < .001). <b>Conclusion</b>: Our results suggest that electronic HIE may be useful for reducing preventable ED visits during the COVID-19 pandemic for people with ADRD and ADRD alongside MCC.</p>","PeriodicalId":52146,"journal":{"name":"Gerontology and Geriatric Medicine","volume":"10 ","pages":"23337214241244984"},"PeriodicalIF":2.1000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10998440/pdf/","citationCount":"0","resultStr":"{\"title\":\"Preventable Emergency Department Visits of Patients with Alzheimer's Disease and Related Dementias During the COVID-19 Pandemic by Hospital-Based Health Information Exchange.\",\"authors\":\"Nianyang Wang, Teagan Knapp Maguire, Jie Chen\",\"doi\":\"10.1177/23337214241244984\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Background:</b> This study examined the relationship between hospital-based electronic health information exchange (HIE) and the likelihood of having a preventable emergency department (ED) visit during the COVID-19 pandemic for US patients with Alzheimer's Disease and Related Dementias (ADRD). <b>Methods</b>: We used multi-level data from six states. The linked data sets included the 2020 State Emergency Department Databases (SEDD), the Area Health Resources File, the American Hospital Association (AHA) Annual Survey, and the AHA Information Technology Supplement to study 85,261 hospital discharges from patients with ADRD. Logistic regression models were produced to determine the odds of having a preventable ED visit among patients with ADRD. <b>Results</b>: Our final sample included 85,261 hospital discharges from patients with ADRD. Patients treated in hospitals that received more types of clinical information for treating patients with COVID-19 from outside providers (<i>OR</i> = 0.961, <i>p</i> < .05) and/or hospitals that received COVID-19 test results from more outside entities were significantly less likely to encounter preventable EDs (<i>OR</i> = 0.964, <i>p</i> < .05), especially among patients who also had multiple chronic conditions (MCC) (<i>OR</i> = 0.89, <i>p</i> = .001; <i>OR</i> = 0.856, <i>p</i> < .001). <b>Conclusion</b>: Our results suggest that electronic HIE may be useful for reducing preventable ED visits during the COVID-19 pandemic for people with ADRD and ADRD alongside MCC.</p>\",\"PeriodicalId\":52146,\"journal\":{\"name\":\"Gerontology and Geriatric Medicine\",\"volume\":\"10 \",\"pages\":\"23337214241244984\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10998440/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Gerontology and Geriatric Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/23337214241244984\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gerontology and Geriatric Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/23337214241244984","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
研究背景本研究探讨了医院电子健康信息交换(HIE)与美国阿尔茨海默病及相关痴呆症(ADRD)患者在 COVID-19 大流行期间前往可预防的急诊科(ED)就诊的可能性之间的关系。方法:我们使用了来自六个州的多层次数据。链接数据集包括 2020 年州急诊科数据库 (SEDD)、地区卫生资源档案、美国医院协会 (AHA) 年度调查和 AHA 信息技术补充资料,研究了 85,261 例 ADRD 患者的出院情况。制作了逻辑回归模型,以确定 ADRD 患者可预防性 ED 就诊的几率。结果:我们的最终样本包括 85,261 例 ADRD 患者的出院记录。在接受外部医疗机构提供的更多类型临床信息(OR = 0.961,p OR = 0.964,p OR = 0.89,p = .001;OR = 0.856,p 结论:我们的研究结果表明,电子 HIE 可能会降低 ADRD 患者的可预防性 ED 就诊几率:我们的研究结果表明,在 COVID-19 大流行期间,电子 HIE 可能有助于减少 ADRD 患者和 ADRD 并发 MCC 患者可预防的急诊就诊。
Preventable Emergency Department Visits of Patients with Alzheimer's Disease and Related Dementias During the COVID-19 Pandemic by Hospital-Based Health Information Exchange.
Background: This study examined the relationship between hospital-based electronic health information exchange (HIE) and the likelihood of having a preventable emergency department (ED) visit during the COVID-19 pandemic for US patients with Alzheimer's Disease and Related Dementias (ADRD). Methods: We used multi-level data from six states. The linked data sets included the 2020 State Emergency Department Databases (SEDD), the Area Health Resources File, the American Hospital Association (AHA) Annual Survey, and the AHA Information Technology Supplement to study 85,261 hospital discharges from patients with ADRD. Logistic regression models were produced to determine the odds of having a preventable ED visit among patients with ADRD. Results: Our final sample included 85,261 hospital discharges from patients with ADRD. Patients treated in hospitals that received more types of clinical information for treating patients with COVID-19 from outside providers (OR = 0.961, p < .05) and/or hospitals that received COVID-19 test results from more outside entities were significantly less likely to encounter preventable EDs (OR = 0.964, p < .05), especially among patients who also had multiple chronic conditions (MCC) (OR = 0.89, p = .001; OR = 0.856, p < .001). Conclusion: Our results suggest that electronic HIE may be useful for reducing preventable ED visits during the COVID-19 pandemic for people with ADRD and ADRD alongside MCC.
期刊介绍:
Gerontology and Geriatric Medicine (GGM) is an interdisciplinary, peer-reviewed open access journal where scholars from a variety of disciplines present their work focusing on the psychological, behavioral, social, and biological aspects of aging, and public health services and research related to aging. The journal addresses a wide variety of topics related to health services research in gerontology and geriatrics. GGM seeks to be one of the world’s premier Open Access outlets for gerontological academic research. As such, GGM does not limit content due to page budgets or thematic significance. Papers will be subjected to rigorous peer review but will be selected solely on the basis of whether the research is sound and deserves publication. By virtue of not restricting papers to a narrow discipline, GGM facilitates the discovery of the connections between papers.