Office of Statewide Health Planning and Development Day for Night: Hospital Admissions for Day Surgery Patients in California, 2005 Mary Tran, PhD, MPH.

Slides:



Advertisements
Similar presentations
Population Trends in the Incidence and Outcomes of Acute Myocardial Infarction Robert W. Yeh, MD MSc Massachusetts General Hospital Alan S. Go, MD Kaiser.
Advertisements

Bill Stockdale, MBA, Celeste Beck, MPH, Lisa Hulbert, PharmD, Wu Xu, PhD Utah Department of Health Comparison with other methods of analysis: 1) Assessing.
1 Proprietary and Confidential 1 Identification of Potentially Avoidable Emergency Department Visits Using Claims Data APHA Session : Advances in.
Increasing Health Care Costs: the Price of Innovation? AcademyHealth Annual Research Meeting June 7, 2004 Claudia A. Steiner, MD, MPH Bernard Friedman,
Linked Data Products Vital Statistics Death/PDD Presenter: Jan Morgan.
Rolling up the Diagnosis and Procedure Codes into Meaningful Categories: Application of the Clinical Classifications Software to OSHPD Patient Data Presenter:
Kids’ Inpatient Database: Empowering Scientific Discovery Jay G. Berry MD MPH Complex Care Service, Cerebral Palsy Program, Program for Patient Safety.
Centre for Health Economics Modelling the impact of being obese on hospital costs Katharina Hauck Bruce Hollingsworth.
Present on Admission. Requirements of Deficit Reduction Act 2005 CMS and CDC choose conditions that are: High Cost, High Volume, or both. Assigned to.
Documentation for Acute Care
RACIAL DISPARITIES IN PRESCRIPTION DRUG UTILIZATION AN ANALYSIS OF BETA-BLOCKER AND STATIN USE FOLLOWING HOSPITALIZATION FOR ACUTE MYOCARDIAL INFARCTION.
The Redesigned National Hospital Discharge Survey National Center for Health Statistics Division of Health Care Statistics Hospital Care Team Last Updated:
Utilizing severity to interpret changing trends of hospitalized injury rates in the United States, Claudia A. Steiner, MD, MPH 1 Li-Hui Chen,
INTRODUCTION TO ICD-9-CM
Surveillance of Heart Diseases and Stroke Using Centers for Medicare and Medicaid (CMS) Data: A Researcher’s Perspective Judith H. Lichtman, PhD MPH Associate.
Using OSHPD Data to Understand Health and Healthcare Patterns: Descriptive Reports and Research Briefs Presenter: Mary Tran, PhD, MPH.
MEDICAL RECORDS MANAGEMENT IN EYE CARE SERVICES 6.International classification of Disease & Procedures and the method of Indexing data.
Methicillin-Resistant Staphylococcus aureus Infections in California Hospital Patients, 1999 – 2006 Mary Tran, PhD, MPH Niya Fong, BS Microbiology California.
Patient Safety and Public Health Informatics Iona Thraen, ACSW Patient Safety Director.
Administrative Data Sources Nov 10, Decrease MPOG data contribution variation Current “required” data elements for MPOG sites – Intraoperative anesthesia.
DOES MEDICARE SAVE LIVES?
CHAPTER © 2014 by McGraw-Hill Education. This is proprietary material solely for authorized instructor use. Not authorized for sale or distribution in.
1 Chapter 5 Unit 4 Presentation ICD-9-CM Hospital Inpatient, Outpatient, and Physician Office Coding Shatondra Surulere, MBA, RHIA, CCS.
1 Is Managed Care Superior to Traditional Fee-For-Service among HIV-Infected Beneficiaries of Medicaid? David Zingmond, MD, PhD UCLA Division of General.
Agency for Healthcare Research and Quality Advancing Excellence in Health Care Improving Administrative Data for Public Reporting Anne Elixhauser.
The NHCS Pretest: Incorporating DAWN Rong Cai, Charles Day DAWN, CBHSQ, SAMHSA August 8, 2012.
Hospital maintain various indexes and register so that each health records and other health information can be located and classified for Patient care.
Vermont Explor Annual Meeting May 1, 2006 Capitol Plaza Hotel.
Chapter 15 HOSPITAL INSURANCE.
Surgeon Specialty and Operative Mortality With Lung Resection PP Goodney, FL Lucas, TS Stukel, JD Birkmeyer VA Outcomes Group, White River Junction, VT.
ED and AS Data Reporting OSHPD Healthcare Information Division Patient Data Section May 23, 2005.
California Perspectives In Healthcare Presenter: Charlene Parham.
Exploratory Analysis of Observation Stay Pamela Owens, Ph.D. Ryan Mutter, Ph.D. September, 2009 AHRQ Annual Meeting.
Chapter 15 HOSPITAL INSURANCE.
3M Health Information Systems APR-DRGs: A Practical Update.
Clostridium Difficile Hospital Discharges: Differences in Patients Admitted With or Without the Infection and the Role of the Hospital in Hospital-Acquired.
Gender Differences in Critical Care Resource Utilization and Health Outcomes Among the Elderly Diane M. Dewar, PhD University at Albany, State University.
What is Clinical Documentation Integrity? A daily scavenger hunt.
Studying Injuries Using the National Hospital Discharge Survey Marni Hall, Ph.D. Hospital Care Statistics Branch, Division of Health Care Statistics.
Health Information Solutions Gaining Insights through Data Linkage: The VS-PDD Linked Data Files Presenters: Beate Danielsen & Jan Morgan.
THE URBAN INSTITUTE Examining Long-Term Care Episodes and Care History for Medicare Beneficiaries: A Longitudinal Analysis of Elderly Individuals with.
Inpatient and Outpatient Costs from DSS Jean Yoon Paul Barnett March 25, 2009.
Instructor: Mary “Stela” Gallegos, ABD, (RT), (R), (M) Seminar 4.
Characteristics of Practice Rural and Urban General Surgeons in North Carolina Jennifer King Erin Fraher, MPP, Thomas C. Ricketts, PhD, Anthony Charles,
Place picture here Potentially Preventable Readmissions RARE Mental Health Collab. Mark Sonneborn February 2014.
The National Hospital Care Survey Linda McCaig, M.P.H. National Center for Health Statistics August 8, 2012.
HIT FINAL EXAM REVIEW HI120.
ICD-10 Implementation: Opportunities and Challenges Diane Stollenwerk, MPP NAHDO Conference - October 28, 2015 Input Your Data. Output Your Website.
Efficiencies in State Specific Required Reporting New York New Jersey.
This material was developed by Oregon Health & Science University, funded by the Department of Health and Human Services, Office of the National Coordinator.
Is Veteran User Status an Independent Risk Factor for Mortality After Private Sector CABG? William B. Weeks, MD, MBA Dorothy A. Bazos, Ph.D. David M. Bott,
A Comparison of Quality of Care in General Hospitals, Specialty Hospitals, and Ambulatory Surgery Centers Cheryl Fahlman, PhD Phil Kletke, PhD Chuck Wentworth,
Improving Care Coordination and Readmissions Using Real Time Predictive Analytics from an HIE New Jersey / Delaware Valley HIMSS Conference Atlantic City,
1 The Impact of Volume of Outpatient Surgical Procedures on Quality Outcomes: AcademyHealth: June 4, 2007.
Development of an Outpatient Transfusion Program to Reduce Avoidable Hospitalizations Zachary J. Palace MD CMD FACP The Hebrew Home at Riverdale Bronx,
The Hospital & Healthsystem Association of Pennsylvania© Updated August 2015 Pennsylvania Hospital Perspective, Ten Year Trend in Inpatient and.
Consequences Of Non-Compliance To Osteoporosis Medication Among Osteoporotic Women Ankita Modi, Ph.D, M.D. 1, Jackson Tang, M.Sc. 2, Shuvayu Sen, Ph.D.
Relative Profit Margins and the Allocation of Hospital Outpatient and Inpatient Services John F. Scoggins, PhD Diane P. Martin, PhD University of Washington.
Pennsylvania Hospital Trends,
Quality of Electronic Emergency Department Data: How Good Are They?
Use of BCBSRI Primary Care Provider Profile to Improve Performance
ICD-9- CM codes.
Colin Fischbacher Information Services Division (ISD)
Volume 11, Issue 4, Pages (July 2011)
Presenter: Wen-Ching Lan Date: 2018/05/09
Volume 11, Issue 4, Pages (July 2011)
Comprehensive Medical Assisting, 3rd Ed Unit Three: Managing the Finances in the Practice Chapter 15 – Outpatient Procedural Coding.
Comprehensive Medical Assisting, 3rd Ed Unit Three: Managing the Finances in the Practice Chapter 14 - Diagnostic Coding.
Volume 11, Issue 4, Pages (July 2011)
Florida AHRMM Summer Conference Legislative Briefing
Presentation transcript:

Office of Statewide Health Planning and Development Day for Night: Hospital Admissions for Day Surgery Patients in California, 2005 Mary Tran, PhD, MPH Healthcare Outcomes Center OSHPD Brian Paciotti, PhD Healthcare Outcomes Center OSHPD Geeta Mahendra University of California, Davis Dept. of Internal Medicine

Office of Statewide Health Planning and Development Slide 2 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Presenter Disclosures (1)The following personal financial relationships with commercial interests relevant to this presentation existed during the past 12 months: Mary Nelson Tran, PhD, MPH “No relationships to disclose”

Office of Statewide Health Planning and Development Slide 3 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Background Increasing volume of surgical procedures performed in Ambulatory Surgery Centers (ASCs) since 1980s. –Related to improvements in medical technologies and rising cost of inpatient care. Concerns of providers and public about safety of outpatient procedures. Objectives of this study –Characterize the pattern of post-ASC admissions to the hospital –Identify risk factors for post-ASC admission –Compare mortality rates for hospital vs. ASC surgery patients receiving comparable procedures.

Office of Statewide Health Planning and Development Slide 4 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Methods Data Sources: –Inpatient admissions: Patient Discharge Data (PDD), 2005 –ASC patient encounters: Ambulatory Surgery Data (AS), 2005 Submitted by California-licensed ASCs (2005 = 1 st year of data) Free-standing surgery clinics, hospital-associated surgery centers –Death during 2005 California Vital Statistics, Death Statistical Master File, 2005 Linkage: –Linked by Social Security Number, using LinkPlus Analysis (SAS, ver. 9.1): –Logistic regression: Risk of post-ASC hospital admission –Comparing patients of free-standing vs. hospital-associated ASCs Risk of death –Comparing surgical patients of hospitals vs. ASCs Controlling for demographics, severity, payer.

Office of Statewide Health Planning and Development Slide 5 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Measures and Definitions Death –Death Certificate date of death 0-30 days after ASC procedure Inpatient Admission –First inpatient admission 0-15 days after ASC service date Diagnoses –ICD-9, principal diagnosis –Coded by Clinical Classifications Software (CCS), AHRQ* Procedures –Inpatients: Principal procedure, ICD-9 procedure code (CCS categories) –ASC Cases: Principal procedure, CPT code (CCS categories) –Selected Procedures: Surgical** and diagnostic procedures*** frequently performed in both ASC and hospital settings Patient Acuity (severity of illness) –Charlson Co-morbidity Index, based on ICD-9 diagnosis codes (range 0-17) *Clinical Classifications Software, Agency for Healthcare Quality and Research (AHRQ). us.ahrq.gov/toolssoftware/cc/ccs.jsp. ** A Russo, P Owens, C Steiner, J Josephsen. Ambulatory Surgery in U.S. Hospitals, HCUP Fact Book No. 9. (Healthcare Cost and Utilization Project). *** Two diagnostic procedures frequently performed in both settings in California. Analyses by author.

Office of Statewide Health Planning and Development Slide 6 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Volume of ASC Cases and post-ASC Hospital Admissions Total ASC encounters = 2,552,177 Cases with post-ASC hospital admission within 15 days = 57,678 (2.3%) Of these post-ASC admissions to the hospital: Route of admission –Emergency Department = 40.1% Reported source of admission –Home = 89.8% –Ambulatory Surgery= 2.7% –Other inpatient care= 5.2% –SNF, residential care= 2.1% –Other = 0.2% Time from ASC service to inpatient admission: –0 to 1 Days= 14.2% –2 to 7 Days = 38.1% –8 to 15 Days= 47.6%

Office of Statewide Health Planning and Development Slide 7 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Top 10 Hospital Diagnoses for post-ASC Hospital Admissions

Office of Statewide Health Planning and Development Slide 8 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Risk factors for post-ASC admission to hospital within 15 days

Office of Statewide Health Planning and Development Slide 9 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 For cases with post-ASC admission: ASC procedures with highest 30-day mortality

Office of Statewide Health Planning and Development Slide 10 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Volume of Selected Procedures* Performed in ASCs and Hospitals * HCUP Fact Book No. 9: Ambulatory Surgery in U.S. Hospitals, 2003, Surgical procedures commonly performed in both inpatient and outpatient settings; plus additional procedures frequently performed in both settings in California (PTCA, cardiac catheterization), author’s analysis.

Office of Statewide Health Planning and Development Slide 11 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Characteristics of Patients Receiving the Selected Procedures

Office of Statewide Health Planning and Development Slide 12 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Risk of 30-Day Mortality for Selected Procedures

Office of Statewide Health Planning and Development Slide 13 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Limitations Possible bias introduced by exclusion of records with unusable SSNs. Relied on principal diagnosis and principal procedure only. Secondary dx and tx information might be important. The Charlson Co-morbidity Index Total Score might not be sufficient to adjust for differences in patient acuity between hospital inpatients and ASC patients. Only state-licensed ambulatory care facilities submitted data to OSHPD. These results may not reflect admission and mortality risk for procedures performed in other types of outpatient settings. Due to 2007 court decision, free-standing ASCs are not required to be licensed by the State of California. As a result, they are no longer required to submit patient data to OSHPD. As of October 2008, only 25 (19.7%) of the 127 free-standing ASCs have decided to continue reporting patient data to OSHPD.

Office of Statewide Health Planning and Development Slide 14 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Summary and Conclusions Post-ASC admission within 15 days: –Most come to the hospital from home and 2 out of 5 enter via the Emergency Department. Half occur a week or more after the ASC service –Likelihood greater if patients have co-morbidities or get care in a hospital-associated facility. Most frequent diagnosis: Complication of [prior] surgical procedure or medical care. Inpatient vs. Outpatient Mortality –Risk of death may be higher for ASC patients for some procedures. –Risk of death is greater for patients who have co-morbidities or pay for care out-of-pocket. Only a small percentage of post-ASC admissions are identified in hospital discharge records.

Office of Statewide Health Planning and Development Slide 15 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Acknowledgements Geeta Mahendra: LinkPlus linkages Brian Paciotti, PhD: Linkage, coding for CCS and Charlson Co-morbidity Index, SAS analyses Niya Fong: SAS analyses

Office of Statewide Health Planning and Development Slide 16 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Questions and comments

Office of Statewide Health Planning and Development Slide 17 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Backup slides

Office of Statewide Health Planning and Development Slide 18 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Charlson Co-morbidity Index Components

Office of Statewide Health Planning and Development Slide 19 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Days from procedure to inpatient admission, for selected ASC procedures Note: Of all inpatient readmissions within 15 days, 14% occurred in 0-1 days. Of all admissions, 1,551 (2.7%) were coded in PDD as admissions from an ASC.

Office of Statewide Health Planning and Development Slide 20 APHA, October 29, 2008 Data sources: PDD, ED/AS, 2005 Days from procedure to inpatient admission, for selected ASC procedures: expanded lower range