Differences in Health Professionals’ Engagement With Electronic Health Records Based on Inpatient Race and Ethnicity

Author:

Yan Chao1,Zhang Xinmeng2,Yang Yuyang3,Kang Kaidi4,Were Martin C.1,Embí Peter1,Patel Mayur B.5678,Malin Bradley A.124,Kho Abel N.3910,Chen You12

Affiliation:

1. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee

2. Department of Computer Science, Vanderbilt University, Nashville, Tennessee

3. Feinberg School of Medicine, Northwestern University, Chicago, Illinois

4. Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee

5. Critical Illness, Brain Dysfunction, and Survivorship (CIBS) Center, Vanderbilt University Medical Center, Nashville, Tennessee

6. Geriatric Research and Education Clinical Center, Veterans Affairs, Tennessee Valley Healthcare System, Nashville

7. Division of Acute Care Surgery, Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee,

8. Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee

9. Institute for Public Health and Medicine, Northwestern University, Chicago, Illinois

10. Department of Medicine-General Internal Medicine, Northwestern University, Chicago, Illinois

Abstract

ImportanceUS health professionals devote a large amount of effort to engaging with patients’ electronic health records (EHRs) to deliver care. It is unknown whether patients with different racial and ethnic backgrounds receive equal EHR engagement.ObjectiveTo investigate whether there are differences in the level of health professionals’ EHR engagement for hospitalized patients according to race or ethnicity during inpatient care.Design, Setting, and ParticipantsThis cross-sectional study analyzed EHR access log data from 2 major medical institutions, Vanderbilt University Medical Center (VUMC) and Northwestern Medicine (NW Medicine), over a 3-year period from January 1, 2018, to December 31, 2020. The study included all adult patients (aged ≥18 years) who were discharged alive after hospitalization for at least 24 hours. The data were analyzed between August 15, 2022, and March 15, 2023.ExposuresThe actions of health professionals in each patient’s EHR were based on EHR access log data. Covariates included patients’ demographic information, socioeconomic characteristics, and comorbidities.Main Outcomes and MeasuresThe primary outcome was the quantity of EHR engagement, as defined by the average number of EHR actions performed by health professionals within a patient’s EHR per hour during the patient’s hospital stay. Proportional odds logistic regression was applied based on outcome quartiles.ResultsA total of 243 416 adult patients were included from VUMC (mean [SD] age, 51.7 [19.2] years; 54.9% female and 45.1% male; 14.8% Black, 4.9% Hispanic, 77.7% White, and 2.6% other races and ethnicities) and NW Medicine (mean [SD] age, 52.8 [20.6] years; 65.2% female and 34.8% male; 11.7% Black, 12.1% Hispanic, 69.2% White, and 7.0% other races and ethnicities). When combining Black, Hispanic, or other race and ethnicity patients into 1 group, these patients were significantly less likely to receive a higher amount of EHR engagement compared with White patients (adjusted odds ratios, 0.86 [95% CI, 0.83-0.88; P < .001] for VUMC and 0.90 [95% CI, 0.88-0.92; P < .001] for NW Medicine). However, a reduction in this difference was observed from 2018 to 2020.Conclusions and RelevanceIn this cross-sectional study of inpatient EHR engagement, the findings highlight differences in how health professionals distribute their efforts to patients’ EHRs, as well as a method to measure these differences. Further investigations are needed to determine whether and how EHR engagement differences are correlated with health care outcomes.

Publisher

American Medical Association (AMA)

Subject

General Medicine

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