VA Integrated Medication Manager (IMM)

Utah System of Higher Education (USHE)

Status: Completed

Conditions: Electronic Health Records

Treatments: Other: Integrated Medication Manager

Study type: Interventional

Funder types: Other; Other U.S. Federal agency

Identifiers

NCT01787175

5R18HS017186-03

Details and patient eligibility

About

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).

Full 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.

Enrollment: 58 patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

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

Trial design

Primary purpose: Health Services Research

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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58 participants in 2 patient groups

Integrated Medication Manager

Experimental group

Description:

Experienced providers that participated in the EHR simulations. Half of the providers were assigned to use the new Integrated Medication Manager (intervention) during the simulation. The other half were assigned the VA's CPRS to use (standard EHR). Providers were randomly assigned which system to use.

Treatment:

Other: Integrated Medication Manager

Standard EHR

No Intervention group

Description:

Experienced providers that participated in the EHR simulations. Half of the providers were assigned to use the new Integrated Medication Manager (intervention) during the simulation. The other half were assigned the VA's CPRS to use (standard EHR). Providers were randomly assigned which system to use.