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| Sponsor: | Agency for Healthcare Research and Quality (AHRQ) |
|---|---|
| Information provided by: | Agency for Healthcare Research and Quality (AHRQ) |
| ClinicalTrials.gov Identifier: | NCT00225628 |
Purpose
Assesses physician compliance with paper-based and electronic guidelines, reminders, and alerts for outpatient settings. Target areas for the reminders and alerts are disease management, medication management, and interpretation of abnormal test results.
| Condition | Intervention |
|---|---|
|
Diabetes Mellitus Coronary Artery Disease Osteoporosis Hypertension Hyperlipidemia |
Behavioral: Computerized Reminders Medications Monitoring Behavioral: Computerized Test Results Management Application Behavioral: Computerized Reminders Hypertension Management Behavioral: Computerized Reminders Osteoporosis Screening and Mgt |
| Study Type: | Interventional |
| Study Design: | Prevention, Randomized, Open Label, Placebo Control, Parallel Assignment, Safety/Efficacy Study |
| Official Title: | Improving Quality With Outpatient Decision Support |
| Estimated Enrollment: | 3000 |
| Study Start Date: | September 2000 |
| Estimated Study Completion Date: | December 2006 |
The evidence base for practicing medicine continues to improve. However, abundant data show that gaps exist between best evidence and practice. Moreover, health care costs are climbing at an alarming rate. We propose to ask three related questions: 1) how effective are computer decision-support systems for improving compliance with evidence-based guidelines and costs in the ambulatory setting; 2) what is the impact on guideline compliance of applications that allow clinicians to track and follow-up test results; and 3) what are the main barriers to acceptance of guidelines delivered via real-time clinical decision-support systems.
Our work and that of others has shown that computerized decision-support in the form of alerts and reminders can improve outcomes and reduce costs in the inpatient setting. However, fewer data are available in the outpatient setting. An elegant series of studies from Regenstrief found that certain computer-based interventions, such as displaying charges for tests, prior test results, and the likelihood that a particular test would be abnormal, all reduced outpatient utilization, and that reminders to perform health maintenance procedures improved compliance. However, such systems are still not used broadly and the full potential of computer-based technology remains to be tested.
Also, there is ample evidence that physicians do not always act optimally on the results of patient studies and often are remiss at communicating satisfactorily with patients about the results of these studies. This situation may be exacerbated by increasing patient volumes in the face of managed care. The ability of the computer to assist in the tracking and follow-up of test results as well as communication with patients remains to be evaluated.
Even though some benefits of computer-based decision-support systems have been documented, such systems are slow to be adopted. Moreover, even when computerized guidelines have resulted in demonstrable improvements, often this improvement has been smaller than anticipated. This proposal aims to better understand the barriers to guideline acceptance so that the benefits of computer based decision-support can be realized.
Our organization, Brigham and Women's Hospital, is in a particularly good position to study these issues. We have in place a highly developed clinical information system including an outpatient electronic medical records (EMR) application that has been an active part of the clinical workflow since 1999. The EMR application currently is used by primary care physicians at one of our major medical centers to track their patients’ problems, medications, allergies, and health maintenance data. We are developing a new EMR that will be used more broadly across our network, and that features a new interface with added functionality. The new EMR will allow us to evaluate the state of the patient at the time of the visit and generate reminders if the patient is out of compliance for certain guidelines. It also includes outpatient order entry that allows physicians to enter medication and laboratory orders directly into the computer. Decision-support in order entry will allow us to guide physician decision making at the most opportune time, and then evaluate the result of that guidance. For automated decision-support applications to be widely adopted, it is critical that their benefits be demonstrated in a wide variety of situations. We plan to implement several different types of interventions targeted at various phases of the clinical workflow to determine which strategies can achieve the greatest benefit.
Specific Aims:
Eligibility| Ages Eligible for Study: | 18 Years and older |
| Genders Eligible for Study: | Both |
| Accepts Healthy Volunteers: | No |
Inclusion Criteria:
Exclusion Criteria:
Contacts and Locations| United States, Massachusetts | |
| Brigham and Women's Hospital | |
| Boston, Massachusetts, United States, 02472 | |
| Principal Investigator: | David W Bates, MD MSc | Brigham and Women's Hospital |
More Information
| Study ID Numbers: | 5 U18 HS011046 |
| Study First Received: | September 22, 2005 |
| Last Updated: | September 23, 2005 |
| ClinicalTrials.gov Identifier: | NCT00225628 History of Changes |
| Health Authority: | United States: Federal Government |
|
Computerized clinical decision support Patient Safety Quality of Care Electronic Medical Records |
Chronic Disease Management Drug Monitoring Guideline Adherence Reminder Systems |
|
Arterial Occlusive Diseases Metabolic Diseases Hyperlipidemias Heart Diseases Myocardial Ischemia Diabetes Mellitus Vascular Diseases Endocrine System Diseases Osteoporosis Bone Diseases, Metabolic Arteriosclerosis |
Bone Diseases Coronary Disease Musculoskeletal Diseases Osteoporosis, Postmenopausal Cardiovascular Diseases Glucose Metabolism Disorders Dyslipidemias Coronary Artery Disease Lipid Metabolism Disorders Hypertension |