Evidence map›Paper›PMID 31087021›Full record

Trial reportJAMA2019

Effect of Restriction of the Number of Concurrently Open Records in an Electronic Health Record on Wrong-Patient Order Errors: A Randomized Clinical Trial.

Jason S Adelman, Jo R Applebaum, Clyde B Schechter, Matthew A Berger, Stan H Reissman, Raja Thota, Andrew D Racine, David K Vawdrey, Robert A Green, Hojjat Salmasian and 9 more

2 registry-linked trialsOpen access · bronzeAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in JAMA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
9.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02876588 nacompletednot on this map

Assessing the Risk of Wrong-Patient Errors in an Electronic Health Record That Allows Multiple Records Open

TypeinterventionalSponsorColumbia UniversityRan2015 to 2017Enrolled3,356ConditionsMedical Errors, Medical Order Entry SystemsArmsUnrestricted, Restricted
NCT03960099 narecruitingnot on this mapstarted 2022, after this paper: background citation

Assessing the Effectiveness of Pictographs for Preventing Wrong-Patient Errors in Neonatal Intensive Care Units: A Randomized Controlled Trial

TypeinterventionalSponsorColumbia UniversityRan2022 to 2028Enrolled6,250ConditionsMedical Errors, Electronic Medical RecordsArmsPictograph in Banner and Verification Alert
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Reducing medication errors for adults in hospital settings.The Cochrane database of systematic reviews · 2021
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  12. Quantitative and qualitative methods advance the science of clinical workflow research.Journal of the American Medical Informatics Association : JAMIA · 2023
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  13. Using electronic health record audit log data for research: insights from early efforts.Journal of the American Medical Informatics Association : JAMIA · 2022
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  16. Conceptual considerations for using EHR-based activity logs to measure clinician burnout and its effects.Journal of the American Medical Informatics Association : JAMIA · 2021
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  17. Risk factors associated with medication ordering errors.Journal of the American Medical Informatics Association : JAMIA · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 9 institutions in 1 country.

Jason S AdelmanDivision of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, New York.
Jo R ApplebaumDepartmentof Quality and Patient Safety, NewYork-Presbyterian Hospital, New York.
Clyde B SchechterDepartment of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, New York.
Matthew A BergerDepartment of Medicine, Albert Einstein College of Medicine, Montefiore Health System, Bronx, New York.
Stan H ReissmanMontefiore Health System, Bronx, New York.
Raja ThotaMontefiore Health System, Bronx, New York.
Andrew D RacineDepartment of Pediatrics, Albert Einstein College of Medicine, Montefiore Health System, Bronx, New York.
David K VawdreyDepartmentof Quality and Patient Safety, NewYork-Presbyterian Hospital, New York.
Robert A GreenDepartmentof Quality and Patient Safety, NewYork-Presbyterian Hospital, New York.
Hojjat SalmasianDivision of Internal Medicine, Department of Medicine, Harvard Medical School, and Department of Quality and Safety, Brigham and Women's Hospital, Boston, Massachusetts.
Gordon D SchiffPrimary Care Center, Harvard Medical School, Department of Medicine, Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts.
Adam WrightDivision of General Internal Medicine, Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts.
Adam LandmanDepartment of Emergency Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts.
David W BatesDivision of General Internal Medicine, Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts.
Ross KoppelDepartments of Sociology and Biomedical Informatics, University of Pennsylvania, Philadelphia.
William L GalanterDepartment of Medicine, Division of Academic Medicine and Geriatrics, and Departments of Pharmacy Practice and Pharmacy Systems, Outcomes, and Policy, University of Illinois at Chicago.
Bruce L LambertDepartment of Communication Studies, Center for Communication and Health, Northwestern University, Evanston, Illinois.
Susan PaparellaInstitute for Safe Medication Practices, Horsham, Pennsylvania.
William N SouthernDivision of Hospital Medicine, Department of Medicine, Albert Einstein College of Medicine, Montefiore Health System, Bronx, New York.
NewYork–Presbyterian Hospital · USAlbert Einstein College of Medicine · USHarvard University · USMontefiore Health System · USBrigham and Women's Hospital · USInstitute for Safe Medication Practices · USNorthwestern University · USUniversity at Buffalo, State University of New York · USUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Recommendations in the United States suggest limiting the number of patient records displayed in an electronic health record (EHR) to 1 at a time, although little evidence supports this recommendation. Objective: To assess the risk of wrong-patient orders in an EHR configuration limiting clinicians to 1 record vs allowing up to 4 records opened concurrently. Design, Setting, and Participants: This randomized clinical trial included 3356 clinicians at a large health system in New York and was conducted from October 2015 to April 2017 in emergency department, inpatient, and outpatient settings. Interventions: Clinicians were randomly assigned in a 1:1 ratio to an EHR configuration limiting to 1 patient record open at a time (restricted; n = 1669) or allowing up to 4 records open concurrently (unrestricted; n = 1687). Main Outcomes and Measures: The unit of analysis was the order session, a series of orders placed by a clinician for a single patient. The primary outcome was order sessions that included 1 or more wrong-patient orders identified by the Wrong-Patient Retract-and-Reorder measure (an electronic query that identifies orders placed for a patient, retracted, and then reordered shortly thereafter by the same clinician for a different patient). Results: Among the 3356 clinicians who were randomized (mean [SD] age, 43.1 [12.5] years; mean [SD] experience at study site, 6.5 [6.0] years; 1894 females [56.4%]), all provided order data and were included in the analysis. The study included 12 140 298 orders, in 4 486 631 order sessions, placed for 543 490 patients. There was no significant difference in wrong-patient order sessions per 100 000 in the restricted vs unrestricted group, respectively, overall (90.7 vs 88.0; odds ratio [OR], 1.03 [95% CI, 0.90-1.20]; P = .60) or in any setting (ED: 157.8 vs 161.3, OR, 1.00 [95% CI, 0.83-1.20], P = .96; inpatient: 185.6 vs 185.1, OR, 0.99 [95% CI, 0.89-1.11]; P = .86; or outpatient: 7.9 vs 8.2, OR, 0.94 [95% CI, 0.70-1.28], P = .71). The effect did not differ among settings (P for interaction = .99). In the unrestricted group overall, 66.2% of the order sessions were completed with 1 record open, including 34.5% of ED, 53.7% of inpatient, and 83.4% of outpatient order sessions. Conclusions and Relevance: A strategy that limited clinicians to 1 EHR patient record open compared with a strategy that allowed up to 4 records open concurrently did not reduce the proportion of wrong-patient order errors. However, clinicians in the unrestricted group placed most orders with a single record open, limiting the power of the study to determine whether reducing the number of records open when placing orders reduces the risk of wrong-patient order errors. Trial Registration: clinicaltrials.gov Identifier: NCT02876588.

Indexed as

Electronic Health RecordsAcademic Medical CentersAdultDelivery of Health Care, IntegratedFemaleHumansMaleMedical ErrorsMedical Records Systems, ComputerizedMiddle AgedMultitasking BehaviorNear Miss, HealthcarePatient SafetyWorkload

Identifiers

PMID31087021
PMCPMC6518341
OpenAlexW2946247566

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.