Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
13 participants
INTERVENTIONAL
2017-06-05
2018-06-01
Brief Summary
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Detailed Description
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Secondary Study Endpoints The study participants will also be asked to take surveys to rate user satisfaction and clinical utility.
2.1 Scientific Background and Gaps The literature has shown that patients with dermatologic conditions may not receive appropriate management by PCPs. Dermatologic conditions are common, affecting 20-36% of patients in PCP offices; however PCPs report diagnostic and management uncertainty.1,2 PCPs have been shown to prescribe either inappropriately high-potency TCS or, conversely, inappropriately low-potency TCS.3 In addition, it was recently found that drug costs may be higher if multiple small tubes are dispensed over the treatment course.4 Thus, there are opportunities to reduce cost by prescribing larger units, when indicated; however PCPs may not have the knowledge to effectively and cost-efficiently prescribe TCS. Teaching this information is not sufficient, since most (71%) medical schools provided nine or fewer hours of instruction in the first two years.5 Importantly, mobile devices and apps provide significantly increased access to point-of-care tools and, with use by providers, demonstrate better clinical decision-making and improved patient outcomes.6,7 Thus, our goal is to develop a point-of-care decision support app to educate PCPs while facilitating evidence-based care and lower health care costs.
The mobile application will be developed by a team at Penn State Hershey from the results obtained in a systematic literature review and quality assessment of clinical practice guidelines for topical corticosteroid use. The quality of the guidelines will be assessed using the AGREE II tool. After the app user enters in information concerning patients' rash location and desired treatment duration, the app will generate a list of recommended topical steroids (focusing on specific quantity and potency) for the patient's particular area of need. It is ultimately up to the physician whether or not to follow or modify the recommended suggestions.
Study Rationale Smartphone applications are rising rapidly in popularity in the healthcare field. 85% of clinicians are reported as owners of smart phones, with 50% of them using apps in their practice.8 Use of smartphone technology and clinical decision support tools may mean improvements in primary care practices by assisting in the standardization of the prescribing practices for TCS while allowing dermatologists more availability for patients with higher need.
Conditions
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Study Design
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NA
SINGLE_GROUP
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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Topical Corticosteroids App Users
Practitioners will asked to use a novel application during their patient encounters over the next three months. This application should not modify treatment, it will only act as a vehicle to present evidence based research. Patients will not be subjects of this research, as the app is only presenting best practice which the physicians should be aware of.
mobile topical corticosteroid app
app used on mobile phones that takes the input of providers and suggests topical corticosteroids with specific information on the ingredient, vehicle, and amount
Interventions
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mobile topical corticosteroid app
app used on mobile phones that takes the input of providers and suggests topical corticosteroids with specific information on the ingredient, vehicle, and amount
Eligibility Criteria
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Inclusion Criteria
1. Attending physicians
2. Physician assistants
3. Nurse practitioners
2. 18 years of age or older
3. English speaking
ALL
Yes
Sponsors
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Milton S. Hershey Medical Center
OTHER
Responsible Party
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Joslyn S. Kirby
Associate Professor
Locations
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Department of Dermatology, Penn State Milton S. Hershey Medical Center
Hershey, Pennsylvania, United States
Countries
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Other Identifiers
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00005201
Identifier Type: -
Identifier Source: org_study_id
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