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.
| Recipient Report: Grant or Loan | ||
| Prime Recipient |
| Reporting Information | ||
| Award Type | Award Number | Final Report |
| Grant | 1RC4LM010958-01 | Recipient responsible for this data |
| Award Recipient Information | ||
| Recipient DUNS Number | Recipient Account Number | Recipient Congressional District |
| 068552207 | Recipient responsible for this data | 1 |
| Award Information | ||
| Funding Agency Code | Awarding Agency Code | Award Date |
| 7529 | 7529 | 08-24-2010 |
| Amount of Award | Sub Account Number for Program Source (TAS) | |
| $ 1,499,998 | Recipient responsible for this data | |
| Program Source (TAS)* | CFDA Number | |
| 750845 | 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 | ||
| DESCRIPTION (provided by applicant): Comparative effectiveness research (CER) is designed to identify healthcare interventions having the best patient outcomes to direct patients to receive the best treatment and to direct our healthcare dollars to where they will be most productive. When comparing observational data to determine the best intervention, CER requires that we apply risk or case-mix adjustment methods before examining outcomes of care. For example, to compare survival in treatment or hospital for inpatient acute myocardial infarction (AMI) patients using the proportion surviving may be misleading if the severity of disease is significantly different across interventions or hospital. To make comparisons valid, risk adjustment must balance patient factors, such as disease severity and co-morbidities, which result in different likelihood of death. A standard approach to risk adjustment is to use measures of "observed-to-expected" rates, where expected outcome for patients are estimated by an existing, often unknown and proprietary, regression model previously fit to a standard or reference population of patient data said to be representative of all patients. The observed outcome is obtained from the patient's discharge data. The goal of the risk adjustment is to determine if an intervention (or provider) on average shows better, worse, or the same observed outcomes compared to expected outcomes. We propose to develop and release an open-source HealthCare Rankings (HCR) case-mix adjustment software package combining methods from observational data analysis, operations research, statistics, and mathematics that have not been applied in combination previously in CER and health services research. The HCR algorithm ranks two or more interventions or providers simultaneously based on direct comparison of patient-level data. This algorithm avoids the need to have a reference database for observed-to-expected comparisons. This proposal is a joint effort of investigators in the Washington University School of Medicine (WUSM) Dept. of Medicine's Biostatistical Consulting Center and the BJC HealthCare Center for Clinical Excellence (CCE). There are 11 hospitals in the BJC network with a comprehensive informatics system of patient level clinical and administrative data available for developing and validating the HCR algorithm. PUBLIC HEALTH RELEVANCE: The goal of this project is to develop and validate novel mathematical methods from operations research and voting theory to perform more accurate comparisons of outcomes and performance among health care interventions and providers. The importance of this project is that if successful there will be new data analysis tools for directing patients to the best treatment and providers for their care based on their level of disease severity and other patient characteristics, and for directing health care dollars to the most cost effective options. | ||
| Project Information | ||||||||||||||||||||||||||
| Project Name or Project/Program Title |
Project Status | Total Federal Amount ARRA Funds Received/Invoiced |
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| NEW OBSERVATIONAL DATA ANALYSIS METHODS FOR COMPARATIVE EFFECTIVENESS RESEARCH | 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 | ||||||||||||||||||||||||||
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| 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 | ||||||||||||||||||||||||
| CAMPUS BOX 1034 | Not Available | Recipient responsible for this data | ||||||||||||||||||||||||
| Infrastructure City | Infrastructure State | Infrastructure ZIP Code+4 | ||||||||||||||||||||||||
| SAINT LOUIS | MO | 63112 | ||||||||||||||||||||||||
| Infrastructure Purpose and Rationale | ||||||||||||||||||||||||||
| Recipient responsible for this data | ||||||||||||||||||||||||||
| Primary Place of Performance | ||
| Street Address 1 | Street Address 2 | City |
| 660 SOUTH EUCLID AVENUE | Recipient responsible for this data | ST. LOUIS |
| State | Zip Code+4 | Congressional District |
| MO | 631101010 | 1 |
| 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 | |
This concludes the current search.
To begin a new search, return to the HHS Recovery Act Recipient Reporting Readiness Tool.
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.
