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Measurement of clinical documentation burden among physicians and nurses using electronic health records: a scoping review.
Moy, Amanda J; Schwartz, Jessica M; Chen, RuiJun; Sadri, Shirin; Lucas, Eugene; Cato, Kenrick D; Rossetti, Sarah Collins.
  • Moy AJ; Department of Biomedical Informatics, Columbia University, New York, New York, USA.
  • Schwartz JM; School of Nursing, Columbia University, New York, New York, USA.
  • Chen R; Department of Biomedical Informatics, Columbia University, New York, New York, USA.
  • Sadri S; Department of Translational Data Science and Informatics, Geisinger, Danville, Pennsylvania, USA.
  • Lucas E; Vagelos School of Physicians and Surgeons, Columbia University New York, New York, USA.
  • Cato KD; Department of Biomedical Informatics, Columbia University, New York, New York, USA.
  • Rossetti SC; Department of Medicine, Weill Cornell Medical College, New York, New York, USA.
J Am Med Inform Assoc ; 28(5): 998-1008, 2021 04 23.
Article in English | MEDLINE | ID: covidwho-1024121
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Physicians / Task Performance and Analysis / Workload / Electronic Health Records / Nurses Type of study: Experimental Studies / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: Jamia

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Physicians / Task Performance and Analysis / Workload / Electronic Health Records / Nurses Type of study: Experimental Studies / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: Jamia