The Redesigned National Hospital Discharge Survey - PowerPoint PPT Presentation

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The Redesigned National Hospital Discharge Survey

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Clinical depth. medications, laboratory results. Improved patient demographics ... More clinical depth. Laboratory results. Medications. Vital signs. ICU use ... – PowerPoint PPT presentation

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Title: The Redesigned National Hospital Discharge Survey


1
The Redesigned National Hospital Discharge Survey
  • National Center for Health Statistics
  • Division of Health Care Statistics
  • Hospital Care Team
  • Last Updated November 19, 2008

2
NHDS Background
  • Nationally representative sample of inpatient
    discharges
  • Longest continuously fielded survey of inpatient
    care - annually since 1965
  • Nonfederal, general, and short-stay hospitals

3
Inpatient Hospitalization rates with Clostridium
difficile first and any listed 1996-2006
  • Citation McDonald LC, et al. Emerg Infect Dis.
    200612(3) 410-5.

4
Coronary Artery Bypass Graft (CABG) and
Percutaneous Coronary Intervention (PCI)1980-2004

Rate per 10,000 population
PCI
CABG
Source National Hospital Discharge Survey
1980-2004.
5
Average Length of Stay by Age U.S., 1970-2006
Source CDC/NCHS, National Hospital Discharge
Survey (NHDS)
6
Context for Redesign
  • Current data limited to Uniform Bill (claims
    data)
  • More flexible survey needed
  • To address policy and research issues
  • To reflect different patient and health-care
    environment
  • HCUP and others built on administrative data

7
Redesign Priorities
  • Resource use/cost/billings/payments
  • Clinical depth
  • medications, laboratory results
  • Improved patient demographics
  • race, ethnicity, address for geocoding
  • Health-related outcomes
  • death index, readmissions, Medicare data

8
Current vs. Redesigned NHDS
9
Scope
  • Current
  • Non Federal
  • Non institutional
  • 6 beds or more
  • General
  • Short-stay (LOS lt30 days)
  • Redesigned
  • Non Federal
  • Non institutional
  • 6 beds or more

10
Content, Inpatient Discharges
  • Current (UB 04 only)
  • Patient age, gender, race/ethnicity, marital
    status
  • Source and type of admission
  • Diagnoses and procedures
  • Discharge status
  • Length of stay
  • Expected payment source
  • Redesigned
  • All current data
  • More clinical depth
  • Laboratory results
  • Medications
  • Vital signs
  • ICU use
  • Payments, billings
  • Patient identifiers
  • Special/sponsored topics

11
Content, Hospital Level
  • Current (UB 04 only)
  • Not collected
  • Redesigned
  • Specific technologies/services
  • EMR specifics
  • Uncompensated care
  • Staffing

12
Sampling
  • Current
  • 112 geographic primary sampling units (PSUs)
  • 239 hospitals
  • Hospitals stratified by bed size
  • Annual discharges
  • 250 per manual hospital
  • Oversample automated
  • 150,000 discharges annually
  • Redesigned
  • List sample stratified by service type
  • 240 hospitals
  • Stratification of discharges
  • Observation cases
  • Normal newborns (undersample)
  • Acute myocardial infarction
  • Deaths
  • Other patients
  • 24,000 annually

13
Redesigned Survey Potential
  • Link to NDI, birth records, CMS data
  • Risk adjustment possible
  • Quality of care analyses
  • Payment and cost analyses
  • Facility-level analyses

14
Potential AnalysesQuality of Care/Patient Safety
  • Discharge medications by patient and provider
    characteristics
  • Effects of antibiotic resistance patterns within
    the hospital on patient outcomes
  • Effects of surgeon specialty on health-related
    outcomes
  • Readmission and post-discharge mortality rates
    for selected diagnoses or procedures by patient
    and provider characteristics

15
Potential Economic Analyses
  • Variation in payment by payer
  • Variation in payment for similar diagnoses or
    procedures by patient and provider
    characteristics
  • Relationship between payment rates and quality of
    care for specific diagnoses or procedures
  • Relationship among billings, costs, and payments
  • Effects of case mix on profitability (specialty
    hospitals)

16
Potential AnalysesSponsored Topics
  • True rate of hospitalized acute myocardial
    infarction
  • Disparities in do-not-resuscitate use among
    in-hospital deaths
  • Variation in nosocomial bloodstream infections by
    hospital characteristics

17
For more information
  • Contact
  • Carol DeFrances, Ph.D.
  • Hospital Care Team Leader
  • National Center for Health Statistics
  • 3311 Toledo Road
  • Hyattsville, MD 20782
  • 301-458-4440
  • E-mail cdefrances_at_cdc.gov
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