Title: HCUP: Research Applications and Tools
1HCUP Research Applicationsand Tools
- Claudia Steiner, M.D., M.P.H.
2HCUP 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
3National 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
4HCUPnet
- 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
5Types 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)
6HCUPnet 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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23Chartbooks
- Detailed stats on web . . . but what does it all
mean? - Provide easily accessible information based on
HCUP data
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25Chartbooks (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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29Clinical 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
30Two 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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33How 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.
34HCUP Quality Indicators
- Use with administrative data
- Multiple dimensions of quality
- Diverse populations
- High tech and ordinary care
3533 Indicators in 3 Areas
- Potentially avoidable adverse hospital outcomes
- Potentially inappropriate utilization of hospital
procedures - Potentially avoidable admissions or ambulatory
care sensitive conditions
36Relatively Few, Common Variables
- Diagnoses
- Procedures
- Age
- Sex
- Admission source
- Discharge status
- Procedure dates
37HCUP 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
38Using the SID An Example
- Use of in-hospital diagnostic and therapeutic
procedures - Comparing Hispanics and non-Hispanic whites
- Examine disparities explore potential
explanations
39Procedure 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
40ResultsUse of Non-Invasive Diagnostic Procedures
41ResultsUse of Invasive Procedures
42Results - Logistic Regression (NY)Odds ratios
for Hispanic vs. Non-Hispanic whites
43Summary 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
44Use 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
45Using 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
46Ranking of Rates for Major OR Procedure
Groupings, Outpatient, 1997
47NIS 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
48Meurer 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
49NIS 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
50Kovner 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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52Conclusion
- HCUP provides multiple resources
- Databases for study
- Research reports
- Tools for analysis
- Statistics to support policy decisions, provide
national comparisons
53For 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