Clinical trial NCT01787175: VA Integrated Medication Manager
Official title: Veterans Affairs Integrated Medication Manager
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Electronic Health Records
Keywords: Medication Therapy Management
Clinical Decision Support Systems
Medical Informatics
Patient Care Management
United States Department of Veterans Affairs
Lead sponsor: University of Utah
Sponsor class: OTHER
Collaborators: name: Agency for Healthcare Research and Quality (AHRQ)
First posted: 2013-02-08
Enrollment: 58
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Allocation: RANDOMIZED
Intervention model: PARALLEL
Primary purpose: HEALTH_SERVICES_RESEARCH

Brief summary: The purpose of this study is to advance the science of healthcare informatics and to improve medication management through the development of a new approach to the electronic medical record called the Integrated Medication Manager (IMM).

Detailed description: In an attempt to address problems patient non-compliance with quality goals barriers to access and integration of health information that impede achievement of treatment goals, the VA is developing a new approach to the electronic medical record. The VA is moving away from the paper-chart metaphor and towards an integrated representation of the patient's status and care process across time. One of the first steps in the development phase has been to explicitly relate patient conditions, therapies, and goals in the domain of pharmacotherapy. This is called Integrated Medication Management and draws on Hollnagel's Contextual Control Model. Providers will be able to plan care and create orders directly in the context of these explicit relationships. This application will be implemented nationwide through a web interface embedded within the existing Computerized Patient Record System (CPRS), the graphical user interface to VA Information Systems (VistA).

Aim 1: Identify cognitive components of providers' therapeutic decision making in the field.

Aim 2. Refine and evaluate the Integrated Medication Manager using simulation studies.

* Aim 2.a. Refine interfaces and logic of the Integrated Medication Manager.
* Aim 2.b. Compare the performance of the Integrated Medication Manager and usual CPRS.

All hypotheses (below) test the use of IMM versus usual electronic medical record (EMR).

* Speed of decision-making will be faster.
* Accuracy of data interpretation (clinical assessment) will be higher.
* Appropriateness of therapeutic plans will be higher.
* Efficiency of gathering information will be higher.
* Common ground measures will be higher.
* Appropriateness of therapeutic plans will be higher when relevant data is outside the usual time horizon.
* Appropriateness of therapeutic plans will be higher when complex associations among patient therapies and goals exist.
* Appropriateness of therapeutic plans will be no lower when relevant data is not captured by the displays of the IMM.
* Appropriateness of therapeutic plans will be higher when highly salient data is not germane to the most important problem.
* Appropriateness of therapeutic plans will be higher when cognitive load is high due to interruptions.

Eligibility criteria: Inclusion Criteria:

* Practiced in primary care for at least two years
* Third year residents with two years of residency in internal medicine or family practice
* Do not have to be currently practicing

Exclusion Criteria:

* None

Primary outcomes:
measure: Amount of Time to Complete Assessment and Plan
timeFrame: 10 minutes
measure: Accuracy of Written Assessment and Plan in Terms of Control and Status
timeFrame: 10 minutes
Secondary outcomes:
measure: Identification of Planned Monitoring and Follow up Encounters in Assessment and Plan
timeFrame: 10 minutes
Other outcomes:
Locations:
city: Salt Lake City
country: United States
facility: VA SLC Health Care System
state: Utah
Study officials:
affiliation: University of Utah
name: Jonathan Nebeker, MD, MS
role: PRINCIPAL_INVESTIGATOR
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