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HHS Recovery Act Recipient Reporting Readiness Tool

Step 4. Review and Copy the Grant Awards Data

TAGGS provides some – but not all – of the data needed for the Recipient Report. Recipients are responsible for directly collecting and reporting all required data to FederalReporting.gov. Data that HHS does not currently collect are highlighted in yellow. Do not copy this highlighted information. Please enter the appropriate data for your organization in these required fields. For assistance with entering these data please contact FederalReporting.gov.

You may capture the data HHS does provide by copying data from this screen and pasting it into the reporting format of your choice, such as the Excel spreadsheet template, the XML template, or by logging into the online form. For assistance with copying and pasting these data please e-mail our help desk at Readiness Help.

 

Award Detail for: COMPARATIVE EFFECTIVENESS OF ALCOHOL TREATMENTS
RESEARCH TRIANGLE INSTITUTE
DUNS Number: 004868105
P.O. BOX 12194
RSCH TRIANGLE PK, NC 27709-2194
Recipient Report: Grant or Loan
Prime Recipient

Reporting Information
Award Type Award Number Final Report
Grant 1RC4AA020096-01 Recipient responsible for this data

Award Recipient Information
Recipient DUNS Number Recipient Account Number Recipient Congressional District
004868105 Recipient responsible for this data 2

Award Information
Funding Agency Code Awarding Agency Code Award Date
7529 7529 09-30-2010
Amount of Award Sub Account Number for Program Source (TAS)  
$ 1,494,669 Recipient responsible for this data
Program Source (TAS)* CFDA Number 
750909 93.701
Total Number of Sub Awards to Individuals Total Amount of Sub Awards to Individuals
Recipient responsible for this data Recipient responsible for this data
Total Number of Payments to Vendors less than $25,000/award Total Amount of Payments to Vendors less than $25,000/award
Recipient responsible for this data Recipient responsible for this data
Total Number of Sub Awards less than $25,000/award Total Amount of Sub Awards less than $25,000/award
Recipient responsible for this data Recipient responsible for this data
Award Description
Abstract The objective of this methodological study is to develop and systematically test predictive models of an individual's alcohol consumption. The ability to forecast alcohol consumption in patients can potentially help individualized treatment programs. For binge drinkers, predicting the timing of their next episode provides additional awareness that could help to control, or even to prevent, the entire episode. For heavy drinkers, predictive models can forecast the windows of treatment opportunity when the patient is most sober and responsive to intervention. For those who are attempting to quit drinking, forecasting the next relapse episode could be used to trigger motivational interviewing or other timely interventions that will help to prevent the relapse. In this project, we will analyze two datasets containing long time series' (i.e., 2 years and 6 months) of individual daily records of alcohol use, stress, and other factors. We will adapt innovative predictive models developed to forecast future alcohol consumption, as well as identify and explain a variety of daily use patterns. The data on individual alcohol consumption is very limited, and this is the first study aimed at building forecasting models using such data. This study offers the field a "next step," with an innovative analysis approach that can possibly offer clinical implications for relapse prevention, increased treatment efficiency, and enhanced understanding of the factors driving the variety of daily patterns of use.

Project Information
Project Name or
Project/Program Title
Project Status Total Federal Amount ARRA Funds
Received/Invoiced
COMPARATIVE EFFECTIVENESS OF ALCOHOL TREATMENTS Recipient responsible for this data Recipient responsible for this data
Number of Jobs Description of Jobs Created
Recipient responsible for this data Recipient responsible for this data
Quarterly Activities/Project Description
Recipient responsible for this data
 
Activity Code (NAICS or NTEE-NPC)
1Recipient responsible for this data2Recipient responsible for this data
3Recipient responsible for this data4Recipient responsible for this data
5Recipient responsible for this data6Recipient responsible for this data
7Recipient responsible for this data8Recipient responsible for this data
9Recipient responsible for this data10Recipient responsible for this data
Total Federal Amount of ARRA
Expenditure
Total Federal ARRA
Infrastructure Expenditure
Infrastructure Contact Name
Recipient responsible for this data Recipient responsible for this data Recipient responsible for this data
Infrastructure Contact Email Infrastructure Contact Phone Infrastructure Contact Phone Ext.
Recipient responsible for this data Recipient responsible for this data Recipient responsible for this data
Infrastructure Contact Street Address 1 Infrastructure Contact Street Address 2 Infrastructure Contact Street Address 3
P.O. BOX 12194 Not Available Recipient responsible for this data
Infrastructure City Infrastructure State Infrastructure ZIP Code+4
RSCH TRIANGLE PK NC 27709-2194
Infrastructure Purpose and Rationale
Recipient responsible for this data

Primary Place of Performance
Street Address 1 Street Address 2 City
Not Available Recipient responsible for this data RESEARCH TRIANGLE PARK
State Zip Code+4 Congressional District
NC 277092194 4
Country  
US

Recipient Highly Compensated Officers
Prime Recipient Indication of Reporting Applicability # Officer Name Officer Compensation
Recipient responsible for this data 1 Recipient responsible for this data Recipient responsible for this data
2 Recipient responsible for this data Recipient responsible for this data
3 Recipient responsible for this data Recipient responsible for this data
4 Recipient responsible for this data Recipient responsible for this data
5 Recipient responsible for this data Recipient responsible for this data

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USE IN THE RECIPIENT REPORT

The information provided by this tool is baseline data that the Recipient should include in the Recipient Report that must be submitted to FederalReporting.gov beginning October 1, 2009. The data from this tool can be cut and pasted directly into the Recipient Report.