HCUP Data for Healthcare Research The Healthcare Cost and Utilization Project (HCUP) Anne Elixhauser, Ph.D. Claudia Steiner, M.D., M.P.H. AcademyHealth y Annual Research Meeting g June 28, 2010 Texth H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H Texth H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H Texth H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H AHRQ – Agency within DHHS 7 Healthcare Cost and Utilization Project (HCUP) THE LARGEST COLLECTION OF MULTI MULTI--YEAR, ALL--PAYER, ENCOUNTERALL ENCOUNTER-LEVEL: INPATIENT EMERGENCY DEPARTMENT AMBULATORY SURGERY 8 HOSPITAL--BASED ADMINISTRATIVE DATA HOSPITAL HCUP is a Family of Databases, Databases Tools & Products SID SEDD NIS NEDS SASD KID HCUP Databases Research Products 9 User Support Research Publications HCUP Partners Providing 2009 Inpatient Data WA MT ND VT ME MN OR NH ID WY WI SD RI PA IA NE NV UT IL IN KS AZ MO OK NM AR NJ AK AK WV VA KY NC TN DE MD SC MS AL TX CT OH CO CA MA NY MI GA LA FL HI Key: Participating a c pa g Non-participating HCUP Partners Providing 2009 Emergency Department Data WA MT VT ND ME MN OR ID NH WI SD WY RI PA IA NE NV UT IL IN KS AZ MO OK NM NJ AK AK WV VA KY NC TN AR DE MD SC MS AL TX CT OH CO CA MA NY MI GA LA FL HI Key: Participating a c pa g Non-participating HCUP Partners Providing 2009 Ambulatory Surgery Data WA MT ND VT ME MN OR NH ID WY WI SD RI PA IA NE NV UT IL IN KS AZ MO OK NM NJ AK AK WV VA KY NC TN AR DE MD SC MS TX CT OH CO CA MA NY MI AL GA LA FL HI Key: Participating a c pa g Non-participating HCUP Database Participation 2009 Data Year WA MT VT ND ME MN OR NH ID WY WI SD RI IA NE NV PA UT IL IN KS AZ OK NM NJ MO TX NC TN DE MD SC MS AK AK WV VA KY AR CT OH CO CA MA NY MI AL GA LA FL HI Key: N Non-participating ti i ti Partners Providing Inpatient Data Only Partners Providing I Inpatient ti t & Ambulatory A b l t Surgery Data Partners Providing Inpatient &E Emergency Department D t t Data Partners Providing Inpatient, Ambulatory Surgery, & Emergency Department Data Current HCUP Partners Arizona Department of Health Services Arkansas Department of Health California Office of Statewide Health Planning & Development Colorado Hospital Association Connecticut Integrated Health Information (Chime, Inc.) Florida Agency for Health Care Administration g Hospital p Association Georgia Hawaii Health Information Corporation Illinois Department of Public Health Indiana Hospital & Health Association Iowa Hospital Association Kansas Hospital Association 14 Current HCUP Partners Kentucky Cabinet for Health and Family Services Louisiana Department of Health and Hospitals Maine Health Data Organization Maryland Health Services Cost Review Commission y Massachusetts Division of Health Care Finance and Policy Michigan Health & Hospital Association Minnesota Hospital Association Missouri Hospital Industry Data Institute Nebraska Hospital Association Nevada Division of Health Care Financing and Policy, Department of Health and Human Services New Hampshire Department of Health & Human Services 15 Current HCUP Partners New Jersey Department of Health and Senior Services New Mexico Health Policy Commission New York State Department of Health North Carolina Department of Health and Human Services Ohio Hospital Association Oklahoma Health Care Information Center for Health Statistics Oregon Association of Hospitals and Health Systems Pennsylvania Penns l ania Health Care Cost Containment Council Co ncil Rhode Island Department of Health South Carolina State Budget & Control Board South Dakota Association of Health Care Organizations Tennessee Hospital Association 16 Current HCUP Partners T Texas D Department t t off State St t Health H lth Services S i Utah Department of Health Vermont Association of Hospitals and Health Systems Virginia Health Information Washington State Department of Health West Virginia Health Care Authority Wisconsin Department of Health and Family Services Wyoming Hospital Association Continuing to recruit additional States to join the HCUP Partnership! 17 Overview of HCUP Data 18 The Core of HCUP: HospitalHospital-Based IP ED, IP, ED AS Databases SID SEDD NIS NEDS SASD KID Inpatient, Emergency Department, and Ambulatory Surgery Databases Based on Hospital Billing Data 19 HCUP Data Mostly from Community Hospitals Typically not included in HCUP data 14% (N=811) (N 811) Community 86% (N=4,897) Included in HCUP data Federal Other/LTC 20 Source: American Hospital Association (AHA), 2007 What Are Community y Hospitals? p AHA definition d fi iti off community it hospitals: h it l NonNon N -Federal, F d l shortshort h t-term, t general, and other specialty hospitals, excluding hospital units of other institutions ((e.g., g , prisons) p ) Include these hospitals Multi--specialty general hospitals Multi OB--GYN OB ENT Orthopedic P di t i Pediatric Public A d i medical Academic di l centers t 21 Exclude these hospitals Long--term care Long Psychiatric Alcoholism/Chemical dependency Rehabilitation DoD / VA / IHS What Types of Care Are and Are Not Captured by HCUP? Inpatient State Inpatient Databases (SID) Nationwide Inpatient Sample (NIS) Kids’ Inpatient Database (KID) ED and Ambulatory Surgery Emergency Room Visits State Emergency Department Database ((SEDD)) Nationwide Emergency Department Database Sample (NEDS) Ambulatory Surgeries State Ambulatory Surgery Database (SASD) [Physician Office Visit] 22 [Pharmacy/Lab/Radiology] From Patient Hospital Visit to HCUP Record ED Visit S h d l d Admission Scheduled Ad i i Transfer Reception Admit Provide Care Discharge Patient Perspective Data Perspective Patient Record Patient Record Discharge Summary Medical Coder 23 Billing Dept Bill Generated The Foundation of HCUP Data is Hospital Billing Data Demographic Data Diagnoses Di Procedures 24 Charges The Making of HCUP Data Billing record created Patient enters hospital AHRQ standardizes data to create uniform HCUP databases 25 States store data in varying formats Hospital sends billing data and any additional dditi l data d t elements to Data Organizations Value of HCUP Processing Basic quality checks Standardization of file formats and variable values Value Value--added variables – Hospital characteristics Region, Urban/rural, Teaching status, Ownership/control, Bed size – Severity Measures APR APR--DRGs, DRGs APSAPS-DRGs, DRGs Disease Staging Staging, 26 Comorbidity Measures The HCUP Database Process AHRQ HCUP Databases HCUP Central Distributor SIGN Sign DUA DUA NIS SID 27 SEDD SASD KID NEDS Why Do We Need Another Hospital Data D t S Source? ? Hospital Data Source National Hospital Discharge Survey (NHDS) National Hospital Ambulatory Care Survey (NHAMCS) Description Hospital inpatient, ED, and outpatient samples Centers for Disease Control and Prevention (CDC) Medical Expenditure Panel Survey (MEPS) Agency for Healthcare Research and Quality (AHRQ) Medicare Provider Analysis y and Review (MedPAR) Centers for Medicare and Medicaid Services (CMS) 28 Health care surveys that provide information about health care use and costs Collection of hospital Medicare claims What is HCUP and What Is It Not? HCUP is... HCUP is NOT NOT... ... Discharge database for health care encounters A survey All payer payer, including the uninsured Specific p to a single g payer, e.g. Medicare Hospital, ambulatory surgery, emergency d department t t data d t Office visits, pharmacy, l b laboratory, t radiology di l All hospital discharges Only a sample Accessible multiple ways: raw data, regular reports, onon-line Just another database 29 Hospital Billing Data Have Benefits and Limitations Benefits Large sample size Uniformity of coding Routine,, regular g collection Ease of access All--payer All 30 Limitations Differences in coding across hospitals No data on individuals outside t id off hospital h it l system May not show complete episode of care Available at local, state, regional, national level May not include all hospitals Supplemental files available il bl Lack revenue information Limited clinical details Some Limitations Can be Addressed by Linking to Other Databases American Hospital Association (AHA) Annual Survey SID SEDD NIS NEDS SASD KID HCUP Databases Health Resources and Services Administration’s (HRSA) Area Resource File (ARF) ZIP Code files from Census or Vendor Medicare Cost Reports Trauma Information Exchange Program (TIEP) 31 HCUP Has Six Types yp of Databases State Inpatient Databases (SID) Nationwide N ti id Inpatient I ti t Sample (NIS) 32 State Emergency Department Databases (SEDD) State Ambulatory Surgery Databases (SASD) Nationwide Emergency Department Sample (NEDS) Kid ’ Inpatient Kids’ I ti t Database D t b (KID) HCUP State Databases (SID, (SID SEDD, SEDD SASD) 33 HCUP State Databases SID SEDD SASD 34 All inpatient hospital discharge data (including those admissions that started in the ED) from participating HCUP States Emergency department data (treat and release) from participating HCUP States Ambulatory surgery data (hospital based and some freestanding) from participating HCUP States What is the Source for th SID the SID, SEDD SEDD, and d SASD? Uniform billing data (UB(UB-04, CMS 1500) Data organization provides data to HCUP Data is a census of all discharges g from community hospitals HCUP collects and standardizes data to create databases 35 Databases Contain Several Types off Data D t Fil Files Core File (Patient Demographic and Clinical Info) Charges File In all State--level State files (Detailed Charges) Diagnosis and Procedure Groups Disease Severity Measures 36 In some State--level State files What Data Elements Are Included in the Core File? UB--04 or CMS 1500 Billing UB Forms Patient demographics (age, ( g , sex)) Diagnoses & procedures (ICD--9-CM, (ICD CM DRG) Expected payer Length of stay Patient disposition Admission source & type Admission month Weekend admission 37 Some Data Elements Vary by State Race/Ethnicity Secondary payer Patient county Detailed charges Patient ZIP Code Patient identifiers Severity of illness Birthweight Procedure date (days from admission) Primary Pi payer details d t il 38 encrypted yp Physician identifiers encrypted Physician specialty Hospital identifier unencrypted Example: Payer Detail Varies by State PAY1_X PAY1 X PAY1 (Standardized) Value Description Value Description M Medicare 1 Medicare D Medicaid 2 Medicaid B Blue Cross and Blue Shield I, S Other Insurance Comp; Self Ins 3 Private Insurance H HMO HMO--PPO P SelfS lf-pay Self 4 SelfS lf-pay Self Z Free 5 No charge W Workers' Comp C CHAMPUS E, N Other Government 6 Other L, O Other 3, 5, A, F, G, J, K, Y Unknown 39 Other values Missing A Invalid Example: Race Detail Varies by State RACE_X RACE X Value 40 Description RACE Value Description 1 White 1 White 2 Black 2 Black 3 Hispanic 3 Hispanic 4 H Hawaiian ii 5 Chinese 6 Filipino 4 Asian A i or Pacific P ifi Islander 7 Japanese 8 Other Asian 9 Other Pacific Islander 10 Native American 5 Native American 11 Mixed or Other 6 Other Software Requirements of Working with the Full HCUP Files Load Programs Format Programs Example HCUP Tools Statistical Programs Coding MS Excel and Access are NOT GOOD Options! 41 States Releasing State Databases through HCUP Central C t l Distributor Di t ib t 1990 – 2008 2008* 42 Arizona Arkansas California Colorado Florida Hawaii Iowa Kentucky Maine Maryland Massachusetts Michigan Nebraska Nevada New Jersey New York North Carolina Oregon Rhode Island South Carolina Sout Ca o a South Dakota Utah Vermont Washington West Virginia Wisconsin * Not all states participate in all years and for all databases. HCUP State Files vs. Data Files Received Directly from the State HCUP State Files Partner State Files Subset of data elements All data elements Value--added data elements Value May not have same valuevalueadded elements Uniformly coded across the Not uniformly coded across states t t states t t 43 Standard data quality checks Variability in quality checks by state L titime Lag M More titimely l HCUP National Databases (NIS, (NIS KID, KID NEDS) 44 HCUP National Databases NIS Inpatient hospital discharge data (including those admissions that started in the ED)) from a sample p of hospitals p in participating HCUP States KID Pediatric inpatient hospital discharge data (including those admissions that started in the ED)) from a sample p of p pediatric discharges in participating HCUP States NEDS 45 Emergency department data (treat and release & admitted) from a sample of hospitals in participating HCUP States HCUP National Databases are Sampled from State Databases State Emergency Department Databases State Inpatient Databases NIS 46 KID NEDS NIS is a Stratified Sample of Hospitals from the SID 5 NIS Strata State is NOT included as a stratum U.S. Region Urban/Rural U b /R l Stratified Sample of Hospitals Teaching Status S State Inpatient I i Databases Ownership/Control Ownership/Contr N = ~ 4K hospitals 47 ~ 32M records N i Nationwide id Inpatient I i Sample N = ~ 1K h hospitals it l Bed Size ~ 8M records KID is a Stratified Sample of Di h Discharges from f the th SID 3 Strata State is NOT included as a stratum Uncomplicated Births State Inpatient p Databases Complicated Births N = ~ 4K hospitals 48 ~ 6M records p Kids’ Inpatient Database N = ~ 4K h hospitals it l Pediatric Non--Births Non ~ 3M records KID--Specific KID p Variables Age in days (AGEDAY) Birth weight in grams (BWT) Birth t diagnosis d ag os s (HOSPBRTH) OS ) National Association of Children’s Hospitals and R l d IInstitutions Related i i (NACHRI) h hospital i l type (NACHTYPE) Normal, uncomplicated birth in hospital (UNCBRTH) 49 HCUP NEDS Data SEDD SID Treat--andTreat and-Release ED Visits About 84% of ED visits are treattreatand--release and 50 NEDS Admitted ED Visits About 16% of ED visits result in a hospital stay NEDS is a Stratified Sample of Hospitals from the SEDD and SID 5 NEDS Strata U.S. Region Urban/Rural U b /R l Si il to the Similar h NIS and d KID Strata: State is NOT included as a stratum Stratified Sample of Hospitals Teaching Status SEDD & SID Ownership/Control N = ~ 2K HospitalHospitalbased EDs 51 ~ 64M ED visits NEDS N = ~ 1K HospitalHospitalbased EDs Trauma ~ 26M ED visits NEDS--Specific Variables NEDS Type of ED event: event: treated and released, admitted to the same hospital, transferred, died (EDEVENT) Disposition of patient from ED (DISP_ED) Died Di d iin th the ED ED: di died d iin th the ED ED, di died d iin th the h hospital, it l did not die (DIED_VISIT DIED_VISIT)) Diagnosis reported on record indicates self harm (INTENT_SELF_HARM INTENT_SELF_HARM) _ _ ) Trauma center level I, II, or III (HOSP_TRAUMA) HCUP ED hospital h it l identifier id tifi (HOSP_ED) HOSP ED) 52 Databases Contain Several Types off Data D t Fil Files Core File NIS KID, NIS, KID NEDS Hospital Weights File Diagnosis and Procedure Groups NIS KID NIS, Disease Severity Measures Supplemental ED File Supplemental Inpatient File 53 NEDS NIS, NEDS, KID: Must be Weighted to Produce N ti National l and d Regional R i l Estimates E ti t NIS NEDS KID 54 D I S C W T NIS, NEDS, KID: Must be Weighted to Produce N ti National l and d Regional R i l Estimates E ti t NIS NEDS 55 H O S P W T Types of Research the National Databases Can Support Utilization and cost of hospital inpatient, ED, and ambulatory care 56 Trends in healthcare utilization and costs Q li off care Quality Impact of health policy changes Diffusion of medical technology Medical practice variation Medical treatment effectiveness Recap: p Use of HCUP Databases Benefits Large sample size Uniformity y of coding g Routine, regular collection Ease of access All--payer All Available at local,, state,, regional, national level 57 Supplemental files available Limitations Differences in coding across hospitals No data on individuals outside of hospital system May not show complete episode of care May not include all hospitals Lack revenue information Limited clinical details ED data do not contain information on time to triage, g time to treatment, time to disposition, etc. How to Obtain HCUP Data & Access HCUP Resources 58 Database Summary Six types of HCUP databases Databases are based on administrative hospital data Available for multiple years – – – – – – NIS (1988(1988-2008) NEDS (2006, 2007) KID (1997, 2000, 2003, 2006) SID (1990 (1990--2008) SASD (1997(1997-2008) SEDD (1999(1999-2008) Can look at breadth of healthcare issues Can be linked to external files 59 Obtain HCUP Data – Two Methods HCUP Central Distributor www.hcup--us.ahrq.gov/ www.hcup tech_assist/centdist.jsp assist/centdist.jsp j p HCUP Partner States www.hcupwww.hcupus.ahrq.gov/partners.jsp 60 How to Obtain HCUP Data through the HCUP Central Distributor Step 1: Download and complete application kit: http://www.hcup--us.ahrq.gov/tech_assist/centdist.jsp http://www.hcup Step 2: Obtain more information (if needed): Phone: 866866-556 556--HCUP (4287) toll free E-mail: HCUPDistributor@ahrq.gov Step 3: Take Data Use Agreement (DUA) onon-line training and sign DUA Step 4: Send order form, signed DUA, and payment to HCUP Central Distributor 61 Additional Requirement Requirement:: Electronic DUA Course PURPOSE OF THE COURSE Takes 15 minutes to Complete • Emphasize the importance of data protection Reduce the risk of inadvertent violations Describe your individual responsibility when using HCUP data 62 http://www.hcup--us.ahrq.gov/tech_assist/dua.jsp http://www.hcup Pricing Information per Data D t Y Year National Databases (NIS, (NIS KID KID, NEDS) – – – NIS: $350 (CY2008(CY2008-2007; student price $50), $200 (CY2000--CY2006; student price $20) (CY2000 KID: $200 (student price $20) NEDS: $500 (student price $75) NIS KID NEDS State Databases (SID, SASD, SEDD) – $35 - $3,000 $3 000 ((varies i b by state) t t ) SID 63 SASD SEDD HCUP is a Family of Databases, Databases Tools & Products SID SEDD NIS NEDS SASD KID HCUP Databases Research Products 64 User Support Research Publications HCUP Provides Many Research Products Software Tools Supplemental pp Files Online Tools Methods Reports Statistical Briefs Publications using HCUP Data – with search feature 65 Most HCUP Tools can be applied to any Administrative Database Clinical Classification Software SID NEDS NIS KID SEDD SASD Procedure Classes Chronic Condition Indicator d cato Comorbidity Other Administrative atabases Databases 66 Utilization Flags AHRQ QIs Most Tools Based On Medical Coding Classifications ICD ICD--9-CM (ICD(ICD-10 10--CM soon) CPT HCPCS DRGs MDC CCS 67 ICD--9-CM ICD ICD ICD--9-CM Diagnosis g Codes ICD ICD--9-CM Procedure Codes Included in both i inpatient ti t and d outpatient t ti t databases 68 Common Procedural Coding S t System – CPT & HCPCS CPT HCPCS Local Codes 69 http://www.hcup--us.ahrq.gov/tools_software.jsp http://www.hcup 70 Clinical Classifications Software (CCS) for ICDICD-9-CM Groups ICDICD-9-CM codes into clinically meaningful categories CCS for ICD--9-CM ICD ICD-9-CM ICDCodes NEDS NIS KID SID SEDD SASD 71 0031 0202 0223 0362 0380 0381 03810 03811 03819 0382 0383 03840 03841 03842 03843 03844 03849 0388 0389 0545 449 7907 0700 0701 0702 07020 07021 07022 07023 0703 07030 07031 07032 07033 0704 07041 07042 07043 07044 07049 0705 07051 07052 07053 07054 07059 0706 07070 07071 0709 57140 57141 57149 5731 5732 5733 CCS Codes CCS 2: p Septicemia CCS 6: Hepatitis Clinical Classification Software (CCS) for Services and Procedures 9,000 CPT/HCPCS codes and 6,000 HCPCS codes 72 244 Mutually Exclusive Clinical Classifications The CCS collapses CPT codes into a smaller number of clinicallyclinically-meaningful categories that can be more useful for presenting descriptive statistics than are individual CPT or HCPCS codes What Codes Are Used in HCUP Data Files DETAILED CODES ICD-9-CM ICD- Diagnosis Codes - Procedure Codes CPT HCPCS Inpatient Databases ICD--9-CM ICD DRG MDC KID NEDS ICD--9-CM ICD CPT HCPCS 73 NIS CCS Outpatient GROUPED CODES Databases DRG MDC CCS SID CCS SASD SEDD Procedure Classes ICD-9-CM ICDP Procedure d Codes Minor Diagnostic Major Therapeutic Minor Therapeutic Major Diagnostic Groups p ICD ICD--9-CM Codes into One of Four Categories g to Distinguish Between Diagnostic/Therapeutic Procedures 74 Chronic Condition Indicator ((CCI)) ICD-9-CM ICDDiagnosis Codes Chronic 75 Non--Chronic Non Groups ICD ICD--9-CM Diagnosis Codes into Chronic or NonNon-Chronic Categories Comorbidity y Software Comorbidity Software ICD--9-CM Codes, ICD DRGs on Administrative Data 29 Comorbidity Classifications The Comorbidity Software is based on the ICD--9-CM coding scheme. Creates 29 ICD variables that identify major comorbidities. 76 * Elixhauser et al., Medical Care, 1998 Appends Indicator Flags for Each Comorbidity 77 Congestive g heart failure Valvular disease Pulmonary circulation disorders P i h Peripheral l vascular l disorders di d Hypertension (uncomplicated and complicated) Paralysis Other neurological disorders Chronic p pulmonary y disease Diabetes without chronic complications Diabetes with chronic complications 29 flags H Hypothyroidism th idi created and Renal failure appended to Liver disease each h record d Chronic peptic ulcer disease Appends Indicator Flags for Each Comorbidity 78 Drug g abuse HIV and AIDS Psychoses Lymphoma Depression Metastatic cancer Solid tumor without metastasis Rheumatoid arthritis/collagen vascular l diseases di Coagulation deficiency Obesity Weight loss Fluid and electrolyte disorders Blood loss anemia Deficiency anemia Alcohol abuse Utilization Flags R Reveals l additional dditi l information i f ti about b t use of health care services Utilization Flag Software SID ICD-9-CM ICDcodes + SEDD SASD 79 UB-04 UBcodes Emergency Room Chest X-ray / CT Scan I t Intensive i Care Unit 30 Utilization Flags There are not ICD--9-CM codes ICD for all services. Concern exists that some diagnostic procedures may be under under-reported 80 AHRQ Quality Indicator Software Creates Measures of Health Care Quality Using g Inpatient p Administrative Data Prevention Quality Indicators QI Software SID NIS KID 81 Inpatient Quality I di t Indicators Patient Safety Indicators P di t i IIndicators Pediatric di t Prevention Quality Indicators (PQI) Examples of PQI Measures Admission rates for: Diabetes Di b t LongLong L -term t Complications C li ti Diabetes ShortShort-term Complications Pediatric Asthma Chronic Obstructive Pulmonary Disease Pediatric Gastroenteritis Hypertension 82 Inpatient Quality Indicators (IQI) Examples p of IQI Q Measures Mortality – medical conditions AMI Pneumonia Mortality – procedures Hip replacement HospitalH Hospital it l-level l l utilization tili ti C-section Area--level utilization Area Hysterectomy Volume 83 Abdominal aortic aneurysm repair Patient Safety Indicators (PSI) Examples of PSI Measures Foreign Body Left During Procedure Iatrogenic Pneumothorax Central Venous Catheter Blood Stream Infection Postop Hip Fracture Postop Hemorrhage or Hematoma Postop Physiologic and Metabolic Derangements Death among surgical inpatients 84 Pediatric Quality Indicators (PDI) Examples of PDI Measures Accidental Puncture or Laceration Decubitus D bit Ulcer Ul Foreign Body Left During Procedure Pediatric Heart Surgery Mortality Postop Hemorrhage or Hematoma Postop Sepsis 85 w http://www.qualityindicators.ahrq.gov www.qualityindicators.ahrq.gov/ 86 HCUP Supplemental Files can only be applied to HCUP Databases Cost--to Cost to--Charge Ratios Hospital Market SID NEDS NIS KID NIS Hospital Ownership SEDD SASD American Hospital Association (AHA) Linkage Revisit Analyses NIS Trends KID Trends 87 Cost--to Cost to--Charge Ratio Files $ Hospital-Level HospitalNIS/SID Data Apply Ratios Convert Charges to Costs The CostCost-to to--Charge g Ratio Files enable conversion of charge data to cost data on the NIS, KID, and SID 88 Charges vs. Costs vs. Price Charges Costs What the hospital charged for the care (includes charge BEFORE discount) discount) What it cost the hospital to provide the care Price What the insurer/individual paid for the (Payment) care (includes negotiated/discounted charges) charges) HCUP Databases include CHARGE information COST information can be estimated 89 Hospital Market Structure (HMS)* Files The HMS Files contain measures of hospital market competition. Available free free--of of--charge from the HCUP Central Distributor. *Wong and Mutter, Review of Industrial Organization, O i ti 2005 90 HCUP Supplemental Files for Revisit Analyses The HCUP Supplemental Files for Revisit Analyses are dischargedischarge-level files designed to facilitate analyses y that need to track patients across time and hospital settings in the SID, SASD, and SEDD 91 HCUP Databases can be combined to provide a more complete picture SID SASD 92 SEDD Researchers can link or combine the HCUP databases to track patients across time and settings The SASD and SID can be linked SASD + SID The SASD can be used with the SID for selected states to: • get a complete picture of same day versus inpatient surgeries 93 • follow patients from ambulatory surgery setting to inpatient setting The SEDD and SID can be linked The SID and the SEDD can be combined to: • assess all care delivered in both settings • track ED visits following hospital discharge SEDD 94 + SID Additional HCUP Supplemental Files Trends Files (NIS & KID) – Discharge Dischargeg -level files that p provide the data user with trend weights and data elements that are consistently defined across data years NIS Hospital Ownership File – Hospital Hospital--level files designed to facilitate analysis off the th NIS by b hospital h it l ownership hi categories t i AHA Linkage Files – Enable researchers to link hospital identifiers in some State databases to the AHA Annual Survey Databases 95 Online Tools MONAHRQ – A web web--based software tool that enables organizations to input their own hospital administrative data and generate a datadata-driven website HCUPnet – Free, interactive online query system – http://hcup.ahrq.gov/hcupnet 96 Key features of Currently y based on hospital discharge data Host user downloads MONAHRQ software from AHRQ website Software www.monahrq.ahrq.gov • Internally to better understand own data and to answer questions • To member organizations, organizations, e g through a password e.g., protected site 97 • Publicly to provide information to the community Host user makes website available Host user applies software to own data locally Host user creates local website on their own server HCUPnet: Quick, free access to HCUP Data Free, interactive online query system Users U generate t ttables bl off outcomes t by b diagnoses and procedures Data can be crosscross-classified by patient and hospital characteristics 99 HCUPnet can answer a variety of questions What percentage of hospitalizations for children are uninsured, by state? What are the most expensive conditions treated in i U.S. US h hospitals? it l ? What is the trend in admissions for depression? Will there be sufficient cases to do my analysis? How do my estimates compare with HCUPnet ((validation)? ) 100 http://hcupnet ahrq gov http://hcupnet.ahrq.gov 101 H H H H H H H H H H H H h H H H H H H H H H H H H h H H H H H H H H H H H H h HCUPnet Capabilities HCUPnet... HCUPnet ... CAN PRODUCE... Simple statistics Sample size calculations Trends information Rank ordering of diagnoses and procedures Significance testing 112 CANNOT PRODUCE… More complicated queries Multivariate analyses Statistics involving certain variables Statistics that may violate confidentiality (patient (patient--, provider--, hospitalprovider hospital-level data) HCUP is a Family of D t b Databases, Tools T l & Products P d t SID SEDD NIS NEDS SASD KID HCUP Databases Research Products 113 User Support Research Publications HCUP Methods Reports Methodological information on the HCUP databases and software tools 114 HCUP Methods Reports Population Denominator Data for Use with the HCUP Databases (Updated with 2009 Population Data) Barrett M M, Hunter K K, Coffey R, Levit K. April 12 12, 2010 115 http//www.hcup--us.ahrq.gov/reports/methods.jsp http//www.hcup Percentage of discharges by region 40% 33% 30% 25% 26% 20% 17% 10% 0% Northeast 116 Midwest South West Does the South have the highest prevalence of CDAD hospital stays? CDAD rates using a population denominator Rate perr 10,000 populatiion R 15 14.9 12.4 12 Region Population Count Northeast 54,917,435 Midwest 66,414,030 South 109,596,119 West 70,072,384 9.6 9 7.7 6 3 0 Northeast 117 Midwest South West HCUP Publications Statistical Briefs Fact F t Books B k Annual ua Reports epo ts 118 119 Statistical Brief Topics More than 90 briefs posted – a new brief posted every two to three weeks: – Ambulatory Surgeries – Rural Hospitalizations – Motor Vehicle Accidents – Childbirth – Brain Cancer 120 HCUP Facts and Figures 121 New: Publications Search Page on HCUPHCUP-US Simple or advanced search options – Data Year – Database, Tool, & Product – Key Word – Publication Type yp – Author – Title Titl – State 122 HCUP Supports High Impact Health Services, Services Policy & Clinical Research 123 HCUP is a Family of D t b Databases, Tools T l & Products P d t SID SEDD NIS NEDS SASD KID HCUP Databases Research Products 124 User Support Research Publications HCUP User Support Website Find detailed information on HCUP databases, tools, and products Access HCUPnet Find comprehensive listing of HCUP--related publications, HCUP database reports, and fact books http://www.hcup--us.ahrq.gov http://www.hcup Access technical assistance 125 Using HCUP Technical Assistance Active Technical Assistance Responds to inquiries about HCUP CU da data, a, p products, oduc s, a and d tools oo s Collects user feedback and suggestions for improvement E-mail mail:: hcup@ahrq.gov hcup@ahrq gov 126 Interactive On On--line HCUP Overview Course Available http://www.hcup--us.ahrq.gov/overviewcourse.jsp http://www.hcup 127 Additional HCUP Online Courses Courses:: Methods Focus Now N available available: il bl : – HCUP Sample Design Tutorial Coming g soon: – Loading and Checking HCUP Data Files – Producing National Estimates with HCUP Data – And more more… … http://www.hcup--us.ahrq.gov/tech_assist/tutorials.jsp 128 http://www.hcup Join the HCUP Email List HCUP Newsletter ♦ New Data Releases ♦ New Reports http://www.ahrq.gov/data/hcup/hcuplist.htm 129 HCUP 20th Anniversary! 130 Healthcare Cost and Utilization Project (HCUP) THE LARGEST COLLECTION OF MULTIMULTI-YEAR, YEAR ALL--PAYER, ENCOUNTERALL ENCOUNTER-LEVEL, HEALTH CARE DATA 131 Questions/Comments? Time for Questions and/or Comments 132