Investigating Wrong-Patient Computerized Physician Order Entry (CPOE) Errors

September 7, 2018 updated by: Montefiore Medical Center

Investigating Wrong-Patient CPOE Errors

With the increased adoption of CPOE systems, it is important to recognize that design flaws have resulted in the creation of new types of iatrogenic medical errors. An example of a new type of iatrogenic medical error introduced by CPOE systems has been named "juxtaposition errors". Juxtaposition errors, as defined by Ash, et al. are "errors that can result when something is close to something else on the screen, and the wrong option is too easily clicked in error." Juxtaposition errors can lead to a patient receiving a medication, a test, or a treatment intended for another patient, sometimes with dire consequences. Juxtaposition errors are likely a subclass of a broader group of wrong-patient CPOE errors that have multiple etiologies.

The primary objectives of this research proposal is to investigate the prevalence of wrong-patient near miss CPOE errors, to investigate the root cause of these errors, and to investigate and compare the efficacy and workflow impact of two distinct interventions to prevent these errors.

Study Overview

Detailed Description

Computerized Physician Order Entry (CPOE) systems have been shown to prevent medical errors, and have become a major component of the patient safety movement. To accelerate the adoption of clinical information technology including CPOE systems, the American Recovery and Reinvestment Act of 2009 allocated approximately $17 billion as incentive payments to providers and hospitals who implement health information technology. With the increased adoption of CPOE systems, however, it is important to recognize that design flaws have resulted in the creation of new types of iatrogenic medical errors. In addition, CPOE systems developed with suboptimal and onerous user interfaces have contributed to entire systems being rejected by physicians. The ideal CPOE system maximizes medical error reduction, minimizes medical error creation, and has a user friendly interface that is accepted by nurses, physicians, and pharmacists.

An example of a new type of iatrogenic medical error introduced by CPOE systems has been named "juxtaposition errors" . Juxtaposition errors, as defined by Ash, et al. are "errors that can result when something is close to something else on the screen, and the wrong option is too easily clicked in error." Juxtaposition errors can lead to a patient receiving a medication, a test, or a treatment intended for another patient, sometimes with dire consequences.

Juxtaposition errors are likely a subclass of a broader group of wrong-patient CPOE errors that have multiple etiologies. Other possible causes of wrong-patient CPOE orders include interruption errors, or double-interruption errors.

Primary Objectives:

  • Specific Aim 1: Investigate the prevalence of wrong-patient near miss CPOE errors.
  • Specific Aim 2: Investigate the root cause of wrong-patient near miss CPOE errors.
  • Specific Aim 3: Investigate and compare the efficacy and workflow impact of two distinct interventions to prevent wrong-patient near miss CPOE errors against a control.

Study Type

Interventional

Enrollment (Actual)

4028

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • New York
      • Bronx, New York, United States, 10467
        • Montefiore Medical Center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • All providers that place order in the Computerized Physician Order Entry (CPOE) System

Exclusion Criteria:

  • none

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Factorial Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Passive Intervention
When a user is about to place orders on a patient, a pop up alert will show the user the name, age, sex, room number and MR# of the patient who is currently activated.
When a user is about to place orders on a patient, a pop up alert will show the user the name, age, sex, room number and MR# of the patient who is currently activated. The point of the alert is to display identification information about the patient as a double check for the provider to make sure he is on the correct patient. This alert will only occur once at the onset of each order session (i.e. the provider will not be alerted for every single order, but if the provider leaves the order pad and then returns, the alert will reoccur).
Experimental: Active Intervention
The user will be required to enter the initials, age and sex of the activated patient prior to placing any orders.
The user will be required to enter the initials, age and sex of the activated patient prior to placing any orders. For example, for a patient named Donald Duck who is 76 years old and male, the user will be required to type "dd76m" to unlock the order pad. This step will NOT be required for every order, but WILL be required every time the user enters the order pad (i.e. if a user leaves the order pad and then returns, the system will require the initials, age and sex to be re-entered as above). This will be a forcing function.
Active Comparator: Control
Parallel control with no intervention
Parallel control with no intervention

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Reduction of wrong patient CPOE errors
Time Frame: Within one hour of placing an order
Compare reduction of wrong patient CPOE errors in each intervention group against a control
Within one hour of placing an order

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Impact of interventions on workflow
Time Frame: Within one hour of placing an order
Compare the efficacy and workflow impact of two distinct interventions to prevent wrong-patient near miss CPOE errors against a control
Within one hour of placing an order

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Jason S Adelman, MD, MS, Montefiore Medical Center

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

December 1, 2010

Primary Completion (Actual)

May 1, 2011

Study Completion (Actual)

June 1, 2011

Study Registration Dates

First Submitted

December 15, 2010

First Submitted That Met QC Criteria

December 15, 2010

First Posted (Estimate)

December 17, 2010

Study Record Updates

Last Update Posted (Actual)

September 11, 2018

Last Update Submitted That Met QC Criteria

September 7, 2018

Last Verified

September 1, 2018

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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