Measurement of clinical documentation burden among physicians and nurses using electronic health records: a scoping review

Author:

Moy Amanda J1ORCID,Schwartz Jessica M2ORCID,Chen RuiJun13ORCID,Sadri Shirin4,Lucas Eugene15,Cato Kenrick D2,Rossetti Sarah Collins12ORCID

Affiliation:

1. Department of Biomedical Informatics, Columbia University, New York, New York, USA

2. School of Nursing, Columbia University, New York, New York, USA

3. Department of Translational Data Science and Informatics, Geisinger, Danville, Pennsylvania, USA

4. Vagelos School of Physicians and Surgeons, Columbia University New York, New York, USA

5. Department of Medicine, Weill Cornell Medical College, New York, New York, USA

Abstract

Abstract Background Objective Electronic health records (EHRs) are linked with documentation burden resulting in clinician burnout. While clear classifications and validated measures of burnout exist, documentation burden remains ill-defined and inconsistently measured. We aim to conduct a scoping review focused on identifying approaches to documentation burden measurement and their characteristics. Materials and Methods Based on Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) Extension for Scoping Reviews (ScR) guidelines, we conducted a scoping review assessing MEDLINE, Embase, Web of Science, and CINAHL from inception to April 2020 for studies investigating documentation burden among physicians and nurses in ambulatory or inpatient settings. Two reviewers evaluated each potentially relevant study for inclusion/exclusion criteria. Results Of the 3482 articles retrieved, 35 studies met inclusion criteria. We identified 15 measurement characteristics, including 7 effort constructs: EHR usage and workload, clinical documentation/review, EHR work after hours and remotely, administrative tasks, cognitively cumbersome work, fragmentation of workflow, and patient interaction. We uncovered 4 time constructs: average time, proportion of time, timeliness of completion, activity rate, and 11 units of analysis. Only 45.0% of studies assessed the impact of EHRs on clinicians and/or patients and 40.0% mentioned clinician burnout. Discussion Standard and validated measures of documentation burden are lacking. While time and effort were the core concepts measured, there appears to be no consensus on the best approach nor degree of rigor to study documentation burden. Conclusion Further research is needed to reliably operationalize the concept of documentation burden, explore best practices for measurement, and standardize its use.

Funder

US National Library of Medicine of the National Institutes of Health

National Institute for Nursing Research

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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