Epidemiology of Patient Record Duplication.

IF 2.1 2区 医学 Q4 MEDICAL INFORMATICS Applied Clinical Informatics Pub Date : 2024-09-27 DOI:10.1055/a-2423-8499
Onur Sahin, Audrey Zhao, Reuben Applegate, Todd Johnson, Elmer V Bernstam
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Abstract

Objective: Duplicate patient records can increase cost and medical errors. We assessed the association between demographic factors, comorbidities, healthcare usage and duplicate electronic health records.

Materials and methods: We analyzed the association between duplicate patient records and multiple demographic variables (race, Hispanic ethnicity, sex and age) as well as Charlson comorbidity index (CCI), number of diagnoses, and number of healthcare encounters. The study population included 3,018,413 patients seen at a large urban academic medical center with at least one recorded diagnosis. Duplication of patient medical records was determined by using a previously validated enterprise Master Person Index.

Results: Unknown or missing demographic data, Black race when compared to White Race (OR 1.35, p < 0.001), Hispanic compared to non-Hispanic ethnicity (OR 1.48, p < 0.001), older age (OR 1.01, p < 0.001), and "Other" sex compared to female sex (OR 4.71, p < 0.001) were associated with higher odds of having a duplicate record. Comorbidities (CCI, OR 1.10, p < 0.001) and more encounters with the health care system (OR 1.01, p < 0.001) were also associated with higher odds of having a duplicate record. In contrast, male sex compared to female sex was associated with lower odds of having a duplicate record (OR 0.88, p < 0.001).

Discussion: The odds of duplications in medical records were higher in Black, Hispanic, older, non-male patients with more healthcare encounters, more comorbidities, and unknown demographic data. Understanding the epidemiology of duplicate records can help guide prevention and mitigation efforts for high-risk populations.

Conclusion: Duplicate records can contribute to disparities in health care outcomes in minority populations.

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病历重复的流行病学。
目的重复病历会增加成本和医疗失误。我们评估了人口统计学因素、合并症、医疗保健使用和重复电子病历之间的关联:我们分析了重复病历与多种人口统计学变量(种族、西班牙裔、性别和年龄)以及夏尔森合并症指数(CCI)、诊断次数和医疗保健就诊次数之间的关联。研究对象包括在一家大型城市学术医疗中心就诊的 3,018,413 名患者,这些患者至少有一项诊断记录。患者医疗记录的重复性是通过使用之前验证过的企业主人指数来确定的:未知或缺失的人口统计学数据、黑人种族与白人种族相比(OR 1.35,p < 0.001)、西班牙裔与非西班牙裔相比(OR 1.48,p < 0.001)、年龄较大(OR 1.01,p < 0.001)以及 "其他 "性别与女性性别相比(OR 4.71,p < 0.001)与重复病历的几率较高有关。合并症(CCI,OR 1.10,p < 0.001)和与医疗系统接触次数较多(OR 1.01,p < 0.001)也与重复病历的几率较高有关。相比之下,与女性相比,男性重复病历的几率较低(OR 0.88,p < 0.001):讨论:在黑人、西班牙裔、年龄较大、就医次数较多、合并症较多且人口统计学数据未知的非男性患者中,医疗记录重复的几率较高。了解重复病历的流行病学有助于指导高危人群的预防和缓解工作:结论:重复病历可能会导致少数群体的医疗结果出现差异。
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来源期刊
Applied Clinical Informatics
Applied Clinical Informatics MEDICAL INFORMATICS-
CiteScore
4.60
自引率
24.10%
发文量
132
期刊介绍: ACI is the third Schattauer journal dealing with biomedical and health informatics. It perfectly complements our other journals Öffnet internen Link im aktuellen FensterMethods of Information in Medicine and the Öffnet internen Link im aktuellen FensterYearbook of Medical Informatics. The Yearbook of Medical Informatics being the “Milestone” or state-of-the-art journal and Methods of Information in Medicine being the “Science and Research” journal of IMIA, ACI intends to be the “Practical” journal of IMIA.
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