Study of an Intervention to Improve Problem List Accuracy and Use (MAPLE)

January 30, 2015 updated by: Adam Wright, Brigham and Women's Hospital

Making Accurate Problem Lists in the EHR

The aim of this study is to identify patients with problem list gaps and intervene to correct these gaps by creating clinical decision support interventions that alert providers to likely problem list gaps and offer clinicians the opportunity to correct them. The investigators will randomize the clinics that will receive the intervention and formally evaluate the study after a period of 6 months for improved problem list completeness to determine the effectiveness of our intervention.

Study Overview

Detailed Description

The clinical problem list is a cornerstone of the problem-oriented medical record. Problem lists are used in a variety of ways throughout the process of clinical care. In addition to its use by clinicians, the problem list is also critical for decision support and quality measurement.

Patients with gaps in their problem list face significant risks. For example, if a hypothetical patient has diabetes properly documented, his clinician would receive appropriate alerts and reminders to guide care. Additionally, the patient might be included in special care management programs and the quality of care provided to him would be measured and tracked. Without diabetes on his problem list, he might receive none of these benefits.

In this study, the investigators developed an clinical decision support intervention that will identify patients with problem lists gaps. The investigators will alert providers of these likely gaps and offer providers the opportunity to correct them.

Study Type

Interventional

Enrollment (Anticipated)

140

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

    • Massachusetts
      • Boston, Massachusetts, United States, 02115
        • Brigham and Women's Hospital

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

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Independent healthcare provider (physician, NP, PA)
  • Practices at participating site

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: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Receive CDS intervention
Providers in clinics that will receive the CDS alert, as their clinic was randomized into our study.
MAPLE is a CDS intervention within the EHR that will alert providers to problem lists gaps and present an opportunity to correct them.
No Intervention: No CDS intervention

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Intervention acceptance
Time Frame: 6 months (May 2010-Nov2010)
Of those providers who were shown (or who would have been shown, for the control group) the intervention, the number that added a problem across control and intervention groups.
6 months (May 2010-Nov2010)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Problem list prevalence
Time Frame: pre and post intervention
Number of patients with selected problems on their problem list pre and post intervention across intervention and control groups.
pre and post intervention
Problem list incidence
Time Frame: pre and post intervention
For the conditions of interest, the percent of patients that had the problem added during the study period
pre and post intervention
Quality improvement based on problem list accuracy/completion
Time Frame: post intervention
For those with problems added due to the intervention, the number of new triggered reminders or other clinical actions.
post intervention

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Adam Wright, PhD, Brigham and Women's Hospital

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

May 1, 2010

Primary Completion (Actual)

November 1, 2010

Study Completion (Anticipated)

November 1, 2017

Study Registration Dates

First Submitted

April 15, 2010

First Submitted That Met QC Criteria

April 16, 2010

First Posted (Estimate)

April 19, 2010

Study Record Updates

Last Update Posted (Estimate)

February 2, 2015

Last Update Submitted That Met QC Criteria

January 30, 2015

Last Verified

January 1, 2015

More Information

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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