CMS-10503 Supporting Statement B IRF Programs

CMS-10503 Supporting Statement B IRF Programs.docx

Inpatient Rehabilitation Facilities Quality Reporting Program: Program Evaluation

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U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES CENTERS FOR MEDICARE & MEDICAID SERVICES



OFFICE OF MANAGEMENT AND BUDGET PAPERWORK REDUCTION ACT CLEARANCE PACKAGE









SUPPORTING STATEMENT-PART B


ACA (Affordable Care Act) §3004 Inpatient Rehabilitation Facilities (IRF) Quality Reporting Program (QRP):

Program Evaluation

Supporting Statement Part B


IRF Quality Reporting Program (QRP): Program Evaluation

Collections of Information Employing Statistical Methods


  1. Respondent Universe and Sampling Methods

The respondent universe will consist of all facilities submitting quality data to support APU requirements. For this population we will define sub groups according to location (urban or rural), size based on number of assessments submitted (three groups) and other pertinent factors deemed useful and reliably available from the State certification data. Within each defined subgroup we will randomly select facilities to interview until we have achieved the total number of interviews required. Refusals will be substituted with another randomly selected facility in the same subgroup.



  1. Procedures for the Collection of Information

Data is being collected using a qualitative interview methodology employing a semi- structured interview guide. The actual questions asked may vary from interview to interview. No quantitative data (e.g., Likert-type scales) will be utilized. Interviews will not be electronically recorded (i.e. - video or audio recording). Data collected will be in the form of detailed notes based upon the interviews, focusing on recurrent themes across different interviews.



  1. Methods to Maximize Response Rates and Deal with Nonresponse

No explicit efforts will be made to maximize response rates other than assuring confidentiality. In the case of a qualitative methodology the number of participants is expected to be low, so response rate issues are largely non-applicable.



  1. Test of Procedures or Methods to be Undertaken

No statistical tests or analysis will be performed. Data is collected through a qualitative process and results will be based upon thematic impressions.



  1. Individuals Consulted on Statistical Aspects and Individuals Collecting and/or Analyzing Data

No formal statistical analysis will be conducted. CMS project leads and data analysts consulted with expert data analysts at HCIS regarding the best approach to the collection of valid and meaningful data using a qualitative methodology. No formal statistical analysis will be conducted.


Please refer to the attached list of individuals who will be performing work of this project.

List of Individuals Who Will Perform Work on the IRF Quality Reporting Program: Program Evaluation Project


    1. CMS Staff that will perform work on this project:

CMS Employee: Caroline Gallaher, R.N., B.S.N., J.D Job Title: Nurse Consultant

Project Lead for IRF Quality Reporting Program Where Employed: Centers for Medicare & Medicaid Services (CMS)

Center for Clinical Standards & Quality

Quality Measurement & Health Assessment Group Division of Chronic & Post-Acute Care

Business Phone: 410-786-2811

Business Email: [email protected]



CMS Employee: Stella Mandl, R.N.

Job Title: Coordinator for ACA 3004 Quality Reporting Programs Where Employed: Centers for Medicare & Medicaid Services (CMS)

Center for Clinical Standards & Quality

Quality Measurement & Health Assessment Group Division of Chronic & Post-Acute Care

Business Phone: 410-786-2547

Business Email: [email protected]


  1. Contractor staff that will perform work on this project:


    1. Health Care Innovation Services (HCIS) HCIS is one of the data analysis contractors used by CMS. HCIS will obtain the data for ACA 3004 IRF QRP Program Evaluation and perform the above-described program evaluation activities with the information that is obtained. HCIS employees assigned to this project will also be tasked with providing regular status reports , all data obtained, and the report of any analysis performed to CMS in a timely manner.


HCIS Employee: Mark Krushat, MPH, ScD Job Title: Senior Scientist

Business Phone: 443-561-3361 Business Email: [email protected]



HCIS Employee: Charles A. Smith, PhD

Job Title: Consultant

Business Phone: 240-603-8953 Business Email: [email protected]



HCIS Employee: Pat Hanson, R.N.

Job Title: Health Informatics Service Coordinator Business Phone: 515-210-3710

Business Email: [email protected]

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