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HCUP: Research Applications and Tools

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Title: HCUP: Research Applications and Tools


1
HCUP Research Applicationsand Tools
  • Claudia Steiner, M.D., M.P.H.

2
HCUP Tools
  • Software to assist in using the data
  • SAS and SPSS load programs
  • Labels (HCUP data elements, DRGs, CCS)
  • Statistics
  • HCUPnet
  • Clinical Classifications Software
  • HCUP Quality Indicators

3
National Statistics
  • HCUP Research Notes (www.ahcpr.gov/data/hcup)
  • Hospital Inpatient Statistics, 1996, 1995 and
    1992
  • Diagnosis and Procedure Combinations in Hospital
    Inpatient Data, 1996 and 1993
  • Descriptive statistics by Insurance Status

4
HCUPnet
  • Interactive on-line access to HCUP data
  • Users generate tables of outcomes by diagnoses
    and procedures
  • Can be cross-classified by patient and hospital
    characteristics

5
Types of Output from HCUPnet
  • Rank order conditions/procedures by LOS, charges,
    deaths
  • Examine LOS, charges, mortality, discharge status
    for conditions/ procedures by
  • patient characteristics (age, sex, payer, median
    income of ZIP Code)
  • hospital characteristics (owner, teaching,
    location, bedsize, region)

6
HCUPnet Can Answer Questions Such As
  • What percentage of hospitalizations for children
    are uninsured, by state?
  • What are the most expensive conditions treated in
    U.S. hospitals?
  • What is the trend in admissions for depression?
  • Will I have enough cases to do my analysis?
  • How do my estimates compare with HCUPnet?
    (validation)

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Chartbooks
  • Detailed stats on web . . . but what does it all
    mean?
  • Provide easily accessible information based on
    HCUP data

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Chartbooks (contd)
  • Overview of hospital care
  • Future chartbooks
  • Procedures in U.S. hospitals
  • Childrens hospitalizations
  • Hospitalization of women
  • Hospitals that care for patients covered by
    Medicaid and the uninsured

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Clinical Classifications Software (CCS)
  • Aggregates ICD-9-CM diagnosis and procedure codes
  • Creates smaller number of clinically meaningful
    clusters
  • Reporting tool
  • Can be applied to any ICD-based administrative
    data

30
Two Related Classification Systems
  • Single level CCS
  • Mutually exclusive categories
  • 259 diagnosis categories
  • 231 procedure categories
  • Multi-level CCS
  • Multi-level hierarchical system
  • Aggregates single-level CCS into broader
    categories
  • Splits CCS into more detailed categories

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How can CCS be Used?
  • Rank hospitalizations by type of condition -- N
    of cases, LOS, total charges
  • Develop clinically based utilization profiles
  • Explore data by grouping conditions and
    procedures conveniently
  • Predict future resource use (Cowen et al., Med
    Care. 1998361108-1113.

34
HCUP Quality Indicators
  • Use with administrative data
  • Multiple dimensions of quality
  • Diverse populations
  • High tech and ordinary care

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33 Indicators in 3 Areas
  • Potentially avoidable adverse hospital outcomes
  • Potentially inappropriate utilization of hospital
    procedures
  • Potentially avoidable admissions or ambulatory
    care sensitive conditions

36
Relatively Few, Common Variables
  • Diagnoses
  • Procedures
  • Age
  • Sex
  • Admission source
  • Discharge status
  • Procedure dates

37
HCUP QIs The Next Generation
  • Contract with UCSF-Stanford
  • Expand / refine current QIs
  • pediatric, chronic medical, ambulatory sensitive
    conditions
  • Analytic / methods development
  • population-based denominators for some QIs
  • risk adjustment
  • separate patient safety indicators (PSIs) module
  • literature review and empirical validation

38
Using the SID An Example
  • Use of in-hospital diagnostic and therapeutic
    procedures
  • Comparing Hispanics and non-Hispanic whites
  • Examine disparities explore potential
    explanations

39
Procedure Use
  • Examined vector of procedures (PR1-PRn)
  • Identified all procedures used by more than 5 of
    discharges
  • CT scan of head
  • Diagnostic ultrasound of head
  • Echocardiogram
  • MRI of head
  • Cerebral arteriogram
  • Carotid endarterectomy

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ResultsUse of Non-Invasive Diagnostic Procedures
41
ResultsUse of Invasive Procedures
42
Results - Logistic Regression (NY)Odds ratios
for Hispanic vs. Non-Hispanic whites
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Summary of Findings
  • Hispanics had higher use of noninvasive tests and
    lower use of invasive procedures.
  • Controlling for hospitals experience with
    Hispanic patients eliminated or greatly reduced
    disparities in procedure use.
  • Disparities are lower in CA than in NY

44
Use the AS for
  • Compare inpatient and outpatient surgery
  • Small area variation research
  • Study surgeries that only occur outpatient
  • Compare state-specific trends in use of
    outpatient setting

45
Using the AS An Example
  • Use of outpatient setting for major surgery
  • current public policy concern
  • Examine use of outpatient setting for procedures
    grouped by body system
  • compare across states

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Ranking of Rates for Major OR Procedure
Groupings, Outpatient, 1997
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NIS An Example
  • Charges for Childhood Asthma by Hospital
    Characteristics. Pediatrics, Dec 1998
  • John Meurer, Medical College of Wisconsin
  • Uses NIS 1994 data, linked to Hospital Weights
    file
  • Applies All Patient Refined-Diagnosis Related
    Group (APDRG) severity classification

48
Meurer et al. Results
  • Study finds asthma severity did not differ
    significantly by hospital location or teaching
    status
  • Nonprofit hospitals treated higher proportion of
    children with extreme severity asthma
  • Urban teaching hospitals treated more children
    from low-income neighborhoods

49
NIS An Example
  • Patients Undergoing Major Surgery in Hospitals
    with Limited Nursing Staffs Suffer more
    Complications Image, Nov 1998
  • Christine Kovner, New York University
  • Uses NIS 1993 data, linked to AHA Survey
  • Applies Quality Indicator software to the NIS

50
Kovner Results
  • Study finds that the fewer FTE registered nurses
    per inpatient day ?
  • higher incidence of
  • urinary tract infection
  • pneumonia
  • thrombosis
  • pulmonary compromise

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Conclusion
  • HCUP provides multiple resources
  • Databases for study
  • Research reports
  • Tools for analysis
  • Statistics to support policy decisions, provide
    national comparisons

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For More Information - How to Reach us
  • E-mail
  • hcup_at_ahrq.gov
  • Phone
  • 301-594-3075
  • Website
  • http//www.ahrq.gov/data/hcup
  • HCUPnet
  • http//www.ahrq.gov/data/hcup/hcupnet.htm
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