INTRODUCTION TO THE UNIFORM DATA SYSTEM Calendar Year 2012 Bureau of Primary Health Care Agenda • • • • • • • Introducing the UDS Importance of the UDS Critical dates in the UDS process Available Assistance Overview of UDS Tables and Definitions Cross Table Consistency in Reporting Strategies for Successful Reporting 2 What is the Uniform Data System (UDS)? • Standardized set of data reported by federally funded programs: – Section 330 Grantees – Community Health Center (CHC), Health Care for the Homeless (HCH), Migrant Health Care (MHC) and Public Housing Primary Care Program (PHPC) – FQHC Look-Alike (LAL) agencies – Urban Indian Health programs • “Scope of Project” for the period January 1, 2012 - December 31, 2012 3 12 Tables: Snapshot of Performance • Patients you serve • Types and quantities of services you provide • Staffing mix and tenure • Quality of the care you deliver • Costs to provide services to patients • Revenue sources 4 Why is the UDS Important? • UDS data are used by the BPHC to: – Ensure compliance with legislative and regulatory requirements – Report program achievements – Monitor performance and identify TA needs • UDS data are used by programs to monitor and improve performance 5 Critical Dates in the UDS Process • DATA ENTRY: Report through EHB (“Electronic Handbook”) beginning January 1, 2013 https://grants.hrsa.gov/webexternal/login.asp • EHB training available through HELP in application and online training module • EHB incorporates 100s of edits to alert you to possible problems that require follow-up. • REPORT DUE DATE: February 15, 2013 • REPORT FINALIZATION: March 31, 2013 • REPORT FEEDBACK: Trend and Comparison reports available August 6 Review Process • 1:1 Technical Assistance: Report is assigned to a reviewer who works with you to correct your data from February 15March 31. • Reviews tables to identify inconsistencies and possible errors • Prepares a summary of issues • Works with you by phone and email to correct your data 7 Available Assistance • Regional trainings • Webinars–LAL, clinical, sampling, changes • On-line training modules, manual, & fact sheets available at http://www.bphcdata.net – Data and reports at http://bphc.hrsa.gov/healthcenterdatastatistics/r eporting/index.html • Telephone and email helpline: 866-UDS-HELP or [email protected] • Technical support to review submission – EHB Support (see handout) • HRSA Call Center: 877-464-4772 • BPHC Help Desk: 301-443-7356 8 Twelve UDS Reporting Tables 9 Who Reports Which Tables More than 1 BPHC Funded program – Universal + Special Pop. Grant Reports Table 1 BPHC Funded Program – Universal Report Look-A-Like Designee – Universal Report ZIP Codes Yes 3A, 3B, 4 Yes Yes No Managed Care or HCH detail 5 Yes Visits & Patients, only Yes 5A Yes 6A Yes 6B Yes Yes 7 Yes No Race/Ethnicity detail 8A Yes Yes 9D Yes No Managed Care or retros 9E Yes No 330 grants Yes Yes Yes 10 Detailed Tables • Patient Profile Tables (ZIP Code, T3A, T3B, and 4) • Utilization and Staffing (T5 and T5A) • Clinical Tables (T6A, T6B, and T7) • Financial Tables (T8A, T9D, and T9E) 11 4 Patient Profile Tables • Patients by Zip Code • Table 3A: Patients by Age and Gender – Tables 3A, 3B, and 4: Grant report completed for each additional funding stream 12 4 Patient Profile Tables— continued • Table 3B: Patients by Race and Ethnicity • Table 4: Patients by Income, Insurance, and Special Populations 13 Data Uses and Accuracy Checks of Patient Profile • Uses of Patient Profile Data: – Describes the patients you serve compared to target vulnerable populations – Maps your service area in UDS Mapper – Calculates indicators such as cost per patient, visits per patient, etc. • Data Checks: – ZIP codes, Table 3A, 3B, and 4 describe the SAME patients; totals must be equal – Grant tables are subsets of the universe 14 2 Staffing and Utilization Profile Tables • Table 5: Types and quantities of services provided and staff who provide these services – Columns b and c completed for each additional funding stream (include all activity for patients reported on grant Tables 3A,3B, and 4) – Report FTEs, visits, and patients 15 2 Staffing and Utilization Profile Tables—continued • Table 5A: Tenure of Health Center Staff – From personnel records – Head count of persons – Months of service for selected staff categories and positions 16 Data Uses and Accuracy Checks of Staffing and Utilization Profile • Uses of Staffing and Utilization Data: – Calculate indicators such as cost per visit, continuity of care, staffing levels, etc. – Continuity of staffing • Data Checks: – Total patients on Tables 3A, 3B, and 4 cannot exceed patients on Table 5, nor can Table 5 patients be less than the total on those tables – Staffing relates to costs on Table 8A – Visits relate to revenues reported on Table 9D – Grant tables are subsets of the universe. 17 3 Clinical Profile Tables and EHR Info • Table 6A: Selected Diagnoses and Services – Completed for each additional funding stream – Not reported by LALs 18 3 Clinical Profile Tables and EHR Info • Table 6B: Quality of Care Indicators – “Process measures”: If patients receive timely routine and preventive care, then we can expect improved health. Early entry into prenatal care Childhood immunizations Pap tests Weight assessment & counseling on nutrition and activities for children Adult weight screening & followup Tobacco use assessment Tobacco cessation intervention Asthma drug therapy Lipid lowering therapy for those with coronary artery disease (CAD) Aspirin or other anti-thrombotic therapy for those with ischemic vascular disease (IVD) Colorectal cancer screening 19 3 Clinical Profile Tables and EHR Info—continued • Table 7: Health Outcomes and Disparities Normal birthweight (≥2500 grams) Controlled hypertension (BP<140/90) Controlled diabetes (Hba1c ≤ 9) – “Intermediate outcome measures”: If this measurable intermediate outcome is improved, then later negative health outcomes will be less likely. 20 3 Clinical Profile Tables and EHR Info Reporting • Column a: Universe – All patients who meet the reporting criteria. • Column b: Universe or sample of 70 patients – Must report universe when universe is less than 70 patients and for prenatal care and delivery outcome measures. • Column c: Compliance – Report number of charts whose clinical record indicates that the measurement rules and criteria have been met. Universe Sample or Universe Records in Compliance 21 Electronic Health Record (EHR) Addendum • Series of questions on the adoption of EHRs, certification of systems, and how widely adopted the system is throughout the health center’s providers 22 Data Uses and Accuracy Checks of Clinical Profile • Uses of Clinical Data: – Evaluate quality of care provided to patients – Monitoring for health improvement activities • Data Checks: – Patients reported by health condition relates to patients by age and gender (T3A) and race and ethnicity (T3B) – Birth outcomes related to prenatal patients 23 3 Financial Profile Tables • Table 8A – Financial Costs – Column a = Accrued costs of delivering services – Coloumn b = total facility and nonclinical support costs (Line 16 col a) 24 3 Financial Profile Tables– continued • Table 9D – Patient Related Revenue – Cash income received during the year for charged services – Revenues reported by payor: Medicaid, Medicare, Other Public, Private, Self Pay 25 3 Financial Tables—continued • Table 9E – Other Revenues – Cash income received during the year from grants, contracts, and other non-patient related sources – Do not duplicate revenues reported on Table 9D 26 Data Uses and Accuracy Checks of Financial Profile • Uses of Financial Data: – Evaluate financial viability (e.g., costs vs. revenues; fee structure, payor mix) • Data Checks: – Revenues by payor are related to insurance enrollment on Table 4, including managed care – Charges on 9D relate to visits on T5 – Costs on 8A relate to revenues on 9D and 9E 27 Key Definitions 28 Patient Defined: Who Counts? • Patient = “Head Count” – total number of individuals who receive at least one visit during reporting year – Patients count once and only once regardless of the number or scope of visits. – Not all contacts count as a visit. – Must have at least one visit that is reported on Table 5 to count as a patient. 29 Visits Defined: What Counts? • Visit (column b) – Not all staff report visits • Physicians, NP, PAs, CNM, Nurses, Dentists, Hygienists, BH, vision, case managers, and health educators • No visits: ancillary, medical assistants, transportation, eligibility assistance, non-health related services, nonclinical support staff 30 Visit Defined: What Counts? • Face to face, one to one between patient and provider – Exception: behavioral health (group and telemedicine) – No group health education, diabetes, etc. • Licensed provider for medical, dental, vision, etc. – Include volunteer and contracted provider • The service must be documented in a chart. • Providers act independently. • Use professional judgment unique to their training and education – Note: Not all contacts are “visits” 31 Visit Defined—continued • Only 1 visit/patient/provider type/day – Unless 2 different providers at 2 different sites • Only 1 visit/provider/patient/day regardless of the number of services provided • Count paid referral, nursing home, hospital visits • Do not count immunization only, lab only, dental varnishing, mass screenings, health fairs, outreach, or pharmacy visits • Count visits provided by both paid and volunteer staff 32 Full-time Equivalent (FTE) Defined • Who is counted? All personnel who contribute to the operations of the health center at approved locations – Employees, contracted staff, residents, and volunteers – Do not count paid referral provider FTEs • How is FTE calculated? – 1.0 FTE is equivalent to one person working fulltime for one year; prorate part-time and part-year • CANNOT USE STAFF LIST AS OF DECEMBER 31 – Report FTE based on work performed; FTEs can be allocated across multiple categories 33 Tenure for Health Center Staff Defined • Reporting FTEs and Tenure – are NOT the same thing. – Selected staff employed by the health center • Full- and part-time, part-year, contract, NHSC • Locums, on-call, residents, and volunteers – Combined tenure • In consecutive months (not FTE) • As of last work day of year • By job title 34 Strategies for Successful Reporting • Work as a team – Tables are interrelated • Adhere to definitions and instructions – Read manual and apply definitions • Check your data before submitting – Relationships exist across tables. – Address edits in EHB by correcting or providing explanations that demonstrate your understanding. • “Data “says so” does not cut it!” – Report timely, accurate data. • Work with your reviewer. 35 Thank you for attending this webinar and for all of your hard work to provide comprehensive and accurate data to BPHC! Ongoing questions can be addressed to [email protected] 866-UDS-HELP 36
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