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Effectiveness of a Decision Support System in Improving the Diagnosis and Screening Rate of Breast Cancer
Conditions
Breast Cancer
Conditions: official terms
Breast Neoplasms
Conditions: Keywords
Decision Support Techniques, Electronic Health Records, Reminder Systems, Early Detection of Cancer, Mammography, Women
Study Type
Interventional
Study Phase
N/A
Study Design
Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Single Group Assignment, Masking: Open Label, Primary Purpose: Diagnostic
Intervention
Name: SEBASTIAN Clinical Decision Support System (CDSS)
Type: Other
Overall Status
Recruiting
Summary
Clinical decision support has been shown to improve the performance of screening tests; however, few studies have documented direct clinical benefit resulting from the increased screening promoted by clinical decision support systems.
The purpose of this study was to determine if a standards-based, sophisticated decision support system could not only promote additional breast cancer screening, but also detect significantly more breast cancer
The purpose of this study was to determine if a standards-based, sophisticated decision support system could not only promote additional breast cancer screening, but also detect significantly more breast cancer
Detailed Description
Breast cancer is the most common female cancer. In the United States, the second most common cause of cancer death in women, and the main cause of death in women ages 45 to 55 years old. The U.S. Preventive Services Task Force recommends screening mammography, with or without clinical breast examination, every one to two years among women aged 50 to 69 years old.
Recent research has shown that health care delivered in industrialized nations often falls short of optimal, evidence based care. US adults receive only about half of recommended care. To address these deficiencies in care, health-care organizations are increasingly turning to clinical decision support systems. A clinical decision-support system is any computer program designed to help health-care professionals to make clinical decisions. In a sense, any computer system that deals with clinical data or knowledge is intended to provide decision support.
Examples include manual or computer based systems that attach care reminders to the charts of patients needing specific preventive care services and computerized physician order entry systems that provide patient-specific recommendations as part of the order entry process. Such systems have been shown to improve prescribing practices, reduce serious medication errors, enhance the delivery of preventive care services, and improve adherence to recommended care standards.
The aim of this study is to show the efficacy of a decision-support system as a strategy for improving the performance of the mammography care process and the detection of significantly more breast cancer.
Recent research has shown that health care delivered in industrialized nations often falls short of optimal, evidence based care. US adults receive only about half of recommended care. To address these deficiencies in care, health-care organizations are increasingly turning to clinical decision support systems. A clinical decision-support system is any computer program designed to help health-care professionals to make clinical decisions. In a sense, any computer system that deals with clinical data or knowledge is intended to provide decision support.
Examples include manual or computer based systems that attach care reminders to the charts of patients needing specific preventive care services and computerized physician order entry systems that provide patient-specific recommendations as part of the order entry process. Such systems have been shown to improve prescribing practices, reduce serious medication errors, enhance the delivery of preventive care services, and improve adherence to recommended care standards.
The aim of this study is to show the efficacy of a decision-support system as a strategy for improving the performance of the mammography care process and the detection of significantly more breast cancer.
Criteria for eligibility
Healthy Volunteers: No
Maximum Age: 69 Years
Minimum Age: 50 Years
Gender: Female
Criteria: Inclusion Criteria:
- Women between 50 and 69 years old
Exclusion Criteria:
- Breast Neoplasms
- Bilateral mastectomy
- Disabled Persons
- Women between 50 and 69 years old
Exclusion Criteria:
- Breast Neoplasms
- Bilateral mastectomy
- Disabled Persons
Location
Hospital Italiano de Buenos Aires
Buenos Aires, Argentina
Status: Recruiting
Contact: Ana M Gomez, MD - 541149590200 - anamaria.gomez@hospitalitaliano.org.ar
Start Date
November 2009
Completion Date
June 2012
Sponsors
Hospital Italiano de Buenos Aires
Source
Hospital Italiano de Buenos Aires
Record processing date
ClinicalTrials.gov processed this data on July 28, 2015
ClinicalTrials.gov page