Does Access to an EHR Patient Portal Influence Chronic Disease Outcomes?

July 25, 2011 updated by: Robert Wood Johnson Foundation

Does Access to an EHR Patient Portal Influence Chronic Disease Outcomes? A Randomised Trial Assessing Clinical and Behavioural Change Outcomes in Patients With CHF, Diabetes, or Secondary CVD

The purpose of this study is to determine if patients with congestive heart failure, diabetes or secondary cardiovascular diseases, who access HealthMedia's online tailored behavior change programs on the electronic health record patient portal have better clinical and behavioral change outcomes.

Study Overview

Detailed Description

The specific aims of the study are to determine if e-portal interventions influence:

  • Measures of patient activation, patient self-management, treatment adherence, patient satisfaction with care, and disease specific knowledge.
  • Process measures relevant to appropriate care for CVD, CHF, and DM.
  • Clinical markers of cardiovascular or diabetes morbidity and risk.

These aims will be evaluated in one-year prospective study. Patients who use the portal will be randomized to control (i.e., access to routine portal-related information) and intervention groups (i.e., targeted and periodic messages designed to capture data relevant to self-management; to improve knowledge of their specific disease, tests, and risks; to devise time-dependent goals; and to motivate self-efficacy). Outcomes including activation, satisfaction, and adherence will be measured by telephone interview prior to and one year after intervention, and by lab and clinical measures and data available from the EHR. We will also evaluate potential selection issues among those who sign on to the e-portal by administering the same baseline interview to a matched (by disease and by age) random sample of patients who do not sign on to the e-portal.

Patients with chronic diseases are likely to experience particular benefit from online e-health resources as they have greater information needs and participate in self-management.(Camer, 2000) Unlike traditional office visits, online interactions eliminate the need to travel, are always available and give the patient access to a broad range of information, helping them actively participate in their own care.(Brown, 1999) There is growing evidence that patient education and engagement using e-health applications results in improved patient outcomes in the care of chronic illnesses, improved patient-physician communication, and reduction of anxiety for caregivers.(Brennan et al., 2001; Bronson et al., 1986; Bronson & O'Meara, 1986; Ross et al., 2003a, 2003b) We anticipate demonstrating clinically meaningful improvements in chronic disease health status, using evidence-based science delivered in behaviorally-validated ways.

Study Type

Interventional

Enrollment (Anticipated)

6000

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

    • Pennsylvania
      • Danville, Pennsylvania, United States, 17822-2602
        • Center for Health Research & Rural Advocacy. Geisinger Clinic

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:

  • Adult age 18 years or older
  • Have medical records in the Geisinger Electronic Health Record
  • Have congestive heart failure and/or Diabetes and/or cardiovascular disease

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

  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

What is the study measuring?

Primary Outcome Measures

Outcome Measure
knowledge, behavior change, relevant clinical measures

Collaborators and Investigators

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

Collaborators

Investigators

  • Principal Investigator: Walter F Stewart, PhD, Geisinger Health Systems
  • Study Chair: Nirav R Shah, MD. MPH, NYU Langone Health

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

September 1, 2004

Primary Completion (Actual)

August 1, 2006

Study Completion (Actual)

August 1, 2006

Study Registration Dates

First Submitted

September 2, 2005

First Submitted That Met QC Criteria

September 2, 2005

First Posted (Estimate)

September 7, 2005

Study Record Updates

Last Update Posted (Estimate)

July 26, 2011

Last Update Submitted That Met QC Criteria

July 25, 2011

Last Verified

July 1, 2011

More Information

Terms related to this study

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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