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Evaluation of Computer Generated After Visit Summaries

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT01685541
Recruitment Status : Completed
First Posted : September 14, 2012
Last Update Posted : September 14, 2012
Agency for Healthcare Research and Quality (AHRQ)
Information provided by (Responsible Party):
Valory Pavlik, Baylor College of Medicine

Brief Summary:
The electronic medical record (EMR) offers a new method to provide patients with information about their visits with a clinician. The EMR can generate personalized and patient specific handouts at the end of the visit that can recap the topics covered during that visit. These After Visit Summaries (AVS) can be automatically generated with information contained in the patient's chart. The AVS has the potential to improve patient retention of information needed for adherence to treatment plans, and follow-up instructions, and to facilitate information transfer between healthcare settings. However, the content and formatting of the AVS to optimize patients' information retention and satisfaction with the visit is not known. In this study, we will develop and test in a randomized trial three different versions of an AVS to determine the AVS content that maximizes patient satisfaction and retention of information on the AVS,and adherence to physician instructions. The three versions of the AVS developed from patient and physician input will be compared to a control condition which consists of current practice in each setting.

Condition or disease Intervention/treatment Phase
Primary Care Patients With Chronic Conditions Other: Maximum After Visit Summary Content Other: Intermediate After Visit Summary Content Other: Minimum After Visit Summary Content Other: Usual AVS Phase 3

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Study Type : Interventional  (Clinical Trial)
Actual Enrollment : 272 participants
Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: None (Open Label)
Primary Purpose: Health Services Research
Official Title: Evaluation of Computer Generated After Visit Summaries to Support Patient-Centered Care
Study Start Date : December 2010
Actual Primary Completion Date : January 2012
Actual Study Completion Date : June 2012

Arm Intervention/treatment
Experimental: Maximum AVS Content
AVS includes patient name, visit date, chief complaining, allergies, immunizations, vital signs, medications, problem list, lab order, physician contact information, referrals, instructions
Other: Maximum After Visit Summary Content
Experimental: Intermediate AVS content
AVS includes patient name, visit date, vital signs, medications, diagnosis, problem list, physician contact information, referrals, instructions
Other: Intermediate After Visit Summary Content
Experimental: Minimum AVS content
AVS contains patient name, visit date, medications, diagnosis, physician contact information, referrals, instructions
Other: Minimum After Visit Summary Content
Active Comparator: Control Group (Usual AVS)
Content differed by clinic site
Other: Usual AVS

Primary Outcome Measures :
  1. Recall of After Visit Summary Content [ Time Frame: 2 days post visit ]

Secondary Outcome Measures :
  1. Satisfaction with the After Visit Summary [ Time Frame: 2 days post visit ]

Other Outcome Measures:
  1. Adherence to physician treatment recommendations [ Time Frame: 2 days post visit and 2 weeks post visit ]

Information from the National Library of Medicine

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Ages Eligible for Study:   21 Years and older   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No

Inclusion Criteria

  • Adult 21 or over
  • At least one previous visit to the clinic
  • Has one chronic condition require medications
  • Willing to participate and answer questionnaires by phone

Exclusion Criteria:

  • No previous visits to the clinic
  • Unwilling to participate

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Responsible Party: Valory Pavlik, Associate Professor, Baylor College of Medicine Identifier: NCT01685541    
Other Study ID Numbers: HHSA29010007
First Posted: September 14, 2012    Key Record Dates
Last Update Posted: September 14, 2012
Last Verified: September 2012