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Patient Engagement Alcohol Risk Reduction System PEARRS

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R41AA025297-01A1
Agency Tracking Number: R41AA025297
Amount: $150,001.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: 450
Solicitation Number: PA16-303
Timeline
Solicitation Year: 2016
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-09-01
Award End Date (Contract End Date): 2018-08-31
Small Business Information
239 S UNION ST STE 5, Burlington, VT, 05401-4556
DUNS: 780420589
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 GAIL ROSE
 (802) 865-7908
 gail.rose@vtmednet.org
Business Contact
 MICHAEL MACCASKEY
Phone: (802) 540-0500
Email: michael.maccaskey@ptengage.com
Research Institution
 UNIVERSITY OF VERMONT & ST AGRIC COLLEGE
 85 SOUTH PROSPECT STREET
BURLINGTON, VT, 05405-1704
 Nonprofit college or university
Abstract
PROJECT SUMMARY ABSTRACT Over a quarter of primary care patients in the United States can be classified as unhealthy drinkers because their alcohol use conveys a high risk of health and social consequences Unfortunately unhealthy drinking is under recognized in spite of the existence of valid screening tools Even when unhealthy drinking is recognized barriers such as provider discomfort shortage of time and stigma can inhibit appropriate care The objective of this proposal is to develop and test a new product to support detection and management of unhealthy drinking in medical settings The Patient Engagement Alcohol Risk Reduction System PEARRS will improve clinical practice by combining existing proprietary software with two novel components The first uses modern machine learning techniques and widely available pre existing patient data such as routine lab test results to build an algorithm that will identify patients likely to be unhealthy drinkers Publicly available national survey data will be used to develop a prediction model that will then be tested with a clinical data set The second component is a data system database mobile app and related software that interacts with the patient providing proven behavior change interventions such as goal setting self monitoring and feedback while simultaneously providing decision support to primary care providers Iterative software development approaches will be used to create an app with a simple user interface and reporting functions PEARRS will provide a sophisticated tool for managing unhealthy alcohol use that will enable better quality of care treatment outcomes and cost savings AIM To develop an algorithm to identify adults at elevated risk for unhealthy drinking based on pre existing objective laboratory tests AIM To develop a prototype data system to actively engage patients and providers and support evidence based self guided behavior change PEARRS addresses an unmet need for a low cost method to reduce the clinical social and financial burden of unhealthy alcohol use and will improve upon the status quo because laboratory markers will be used as screeners instead of self report measures that are inconsistently used and can provoke resistance Further PEARRS will relieve providers of the need to perform a task they feel underprepared and unrewarded for The commercial applicability of this technological innovation is high because it is portable and relevant to a broad market of insurers employers accountable care organizations ACOs and others at risk for the consequences of unhealthy alcohol use The impact PEARRS will have is substantial because it can overcome known barriers to providing alcohol evaluation and treatment services in general medical settings PEARRS represents a fundamental shift in how unhealthy drinking is managed in medical settings PROJECT NARRATIVE In some people alcohol consumption can cause or complicate medical problems accidents lost productivity and crime Although effective methods exist to identify unhealthy drinkers and help them reduce their risks they are not widely used We propose using routine laboratory data to identify individuals whose drinking may put them at risk for health problems or complications and a data system with mobile app to offer them evidence based behavior change interventions

* Information listed above is at the time of submission. *

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