Comparison of ICD-10-AM Data Quality Between Jurisdictions, As Measured by PICQ 2002 Authors:Catherine Perry Sue Wood Kirsten McKenzie Andrea Groom Kerry.

Slides:



Advertisements
Similar presentations
Three datasets are better than one! Alcohol related diagnoses from ambulance to hospital admission, Melbourne, Australia Sharon Matthews Jason Ferris Belinda.
Advertisements

The MRP – Development of a comprehensive CMAM reporting tool using a set of standardised indicators CMAM conference London 17 th – 18 th October 2013.
COPD Analyses Updated – 7th February February 2011.
Applications of Health Informatics.  John Graunt began the statistical study of disease in the early 17 th century  1837 William Farr wanted adoption.
1 Proprietary and Confidential 1 Identification of Potentially Avoidable Emergency Department Visits Using Claims Data APHA Session : Advances in.
Diabetes Hospital Discharge and Emergency Department Data, Montana Dorota Carpenedo, MPH Epidemiologist
South Ayrshire Community Health Partnership Summary of key SOA health priority information – September 2012.
Nick Rushworth Executive Officer Brain Injury Australia FALLS-RELATED TRAUMATIC BRAIN INJURY IN OLDER AUSTRALIANS FALLS PREVENTION PROGRAM NETWORK MEETING,
Don’t Be Afraid of ICD-10 Melonie Loutsch, CPC, ACS-EM April 26 th 2014.
Chapter 15 Newborn (Perinatal) Guidelines ( )
ASE Event Slides  Major Trauma  Sepsis  QIPP 114 June 2010.
Azara Proprietary & Confidential Controlling High Blood Pressure 2014 Measure Changes Improving Patient Outcomes through Data.
Morbidity coding in Australia
INTRODUCTION TO ICD-9-CM
Azara Proprietary & Confidential Overview June 2014 Improving Patient Outcomes through Data.
AHRQ Quality Indicators Toolkit Tool A.2 Instructions.
Guide to Finding Your Hospital’s PC-01 EED Rate
ACT on Alzheimer’s Disease Curriculum Module IX: Dementia as an Organizing Principle of Care.
Recommendations on Minimum Data Recording Requirements in Hospitals from the Directorate of Health in Iceland: Is it possible to use Hospital Patient Registry.
ICD-10 CHANGE AHEAD Change is HARD 1)ICD-9 CM implemented in )Other countries using ICD-10 since the 1990’s: UK 1995, France 1997, Germany 2000,
Guidelines Most Significantly Affected Under ICD-10-CM
Injury surveillance in Australia: aims and issues James Harrison Research Centre for Injury Studies Adelaide, South Australia September 2006.
Seat Belts... A Matter of Dollars and Sense... Ginger Floerchinger-Franks, M.S., Dr.P.H. Idaho Department of Health & Welfare Bureau of Health Promotion.
EVALUATION OF WISCONSIN STATE TRAUMA REGISTRY DATA LAURA D. CASSIDY, MS, PHD E. BROOKE LERNER, PHD MELISSA CHRISTENSEN AUGUST 8,
Health Research & Information Division, ESRI, Dublin, July 2008 The Audit Process.
National Support Team: Findings from the first 2 years Katrina Stephens Associate Delivery Manager, Alcohol Harm Reduction National Support Team, Department.
ICD-10-CM.
ICD-10 Transition: Implications for the Clinical Research Community Jesica Pagano-Therrien, MSN, RN, CPNP HRPP Educator UMCCTS Office of Clinical Research.
Serbia Health Project – Additional Financing Training for Trainers on AR-DRG, Република Србија МИНИСТАРСТВО ЗДРАВЉА Linda Best
The EuroHOPE- project: Comparison of treatment and outcome for AMI and stroke patients in Europe On behalf of the EuroHOPE-team: Terje P. Hagen Department.
Assessing the Concordance of Coded Morbidity and Mortality Data for In-Hospital Trauma-Related Deaths Presenter: Bridget Allison Research Team:Kirsten.
ICD-10-CM Made Simple Prepared Geanetta Agbona CPC, CPC-I, CBCS AHIMA Approved ICD-10-CM Trainer/AAPC Physician Educator 1.
Developing Quality Indicators & Dashboards for Dementia Adam Cook South East Coast Quality Observatory.
The Australian Clinical Coder Workforce Survey-An Update 2002 Presenter: Kirsten McKenzie (Research Fellow) Other Authors: Sue Walker (Associate Director)
0 Presentation to: 5 August 2015 Presented by: Heather Bond, Medicaid Assistant Chief, Regulatory Compliance Exciting ICD-10 Presentation.
1 Using National Hospital Ambulatory Medical Care Survey (NHAMCS) data for injury analysis Linda McCaig Ambulatory Care Statistics Branch Division of Health.
Women’s Health: Diabetes and Dust Storms TC Liu P.1 Tsai-Ching Liu Women’s Health: Diabetes and Dust Storms Department of Public Finance and Public Finance.
Australian Injury Indicators James Harrison Malinda Steenkamp Research Centre for Injury Studies, Flinders University of South Australia Incorporating.
Survival outcomes and causes of death of trauma patients: Examining the concordance of external causes of morbidity and mortality data Presenter: Kirsten.
CLINICAL AUDIT A quick guide. Why Audit? ‘Clinical audit is about improvement. If you are not changing or improving things as a result of audit then ask.
Updating Recommendations for Injury Surveillance in State Health Departments Report from the Injury Surveillance Workgroup.
KINE 4565 The burden of injury and sources of injury data.
Selecting hospital records for injury surveillance: Australia as an example James Harrison Research Centre for Injury Studies Adelaide, South Australia.
Coding Update 2006 Primary Care Conference March 29, 2006.
Indicators of Injury Incidence: Probability of Admission to Hospital Colin Cryer Injury Prevention Research Unit, Univ. Of Otago NZ Presented at the ICE.
Copyright restrictions may apply JAMA Pediatrics Journal Club Slides: Discharges to Home Health and Postacute Care Berry JG, Hall M, Dumas H, et al. Pediatric.
Injury Surveillance Thomas Songer, PhD University of Pittsburgh.
ICD and morbidity statistics in Australia 1 July 2011.
Monitor & Improve Data Quality. Health Policy & Information Division, ESRI, July 2008 Monitor & Improve Record data quality and audit activities Important.
A ssociation of Public Health Observatories Hospital Activity data Roy Maxwell SWPHO & Bristol University Dr Richard Wilson Sandwell PCT.
Death Certification Reforms Potential impact on mortality statistics Lucy Vickers, Lois Cook, John Blake Health Statistics User Group – March 2011.
NARROWING THE LANGUAGE GAP BETWEEN ICD-9 AND ICD-10
WC2 Health Club Ageing in Urban Environments.
CHAPTER 9 USING ICD-10-CM.
Asthma in Australia Hospitalisations and emergency department visits
Quality of Electronic Emergency Department Data: How Good Are They?
Analyze ICD-10 Diagnosis Codes with Stata
ICD-9- CM codes.
David Culliford, Lynn Josephs, Matthew Johnson, Mike Thomas
Unit 6 Research Project in HSC Unit 6 Research Project in Health and Social Care Aim This unit aims to develop learners’ skills of independent enquiry.
Survey phases, survey errors and quality control system
Prevalence of current asthma by Indigenous status and sex
Survey phases, survey errors and quality control system
Example:- Emergency GI Bleeds
Comprehensive Medical Assisting, 3rd Ed Unit Three: Managing the Finances in the Practice Chapter 14 - Diagnostic Coding.
Asthma in Australia 2008 Mortality
Example:- Emergency GI Bleeds
4 Years Milestone plan – (Company Name)
Alzheimer’s Disease in New Mexico
Example:- Emergency GI Bleeds
Presentation transcript:

Comparison of ICD-10-AM Data Quality Between Jurisdictions, As Measured by PICQ 2002 Authors:Catherine Perry Sue Wood Kirsten McKenzie Andrea Groom Kerry Innes

What is PICQ 2002? A software package –For reviewing ICD-10-AM coded data –Identifies coding variation in dataset Contains –Over 100 indicators: Fatal, Warning, Relative –Denominator / Numerator –Denominator count = records looked at –Numerator count = records with problem

Indicator Examples Records with rehabilitation care type but PDx code not admission for rehab Obstetric perineal laceration 1 st/ 2 nd degree without repair Hyperglycaemia code with diabetes code Diagnosis indicates death but separation mode is not death External Cause code required but not present with a trauma code

Aims of data analysis Determine areas where there are coding issues Highlight coding data quality issues of national significance (eg health priority areas) Inform: –Coder education –Amendments to ICD-10-AM –Development of PICQ Enhancements to current indicators Indication as to what topics could be targeted for new indicators

Data Analysed AIHW DataICD-10-AM Edition 2000 Jan-JunICD-10-AM 1 st Edition 2000 Jul-DecICD-10-AM 2 nd Edition Fin. Year ICD-10-AM 2 nd Edition Fin. Year ICD-10-AM 3 rd Edition

Methodology and Limitations Used PICQ 2002 Software Exclusion of some indicators due to: –Data items not present in AIHW data –Problem since identified with individual PICQ indicators Analysis of data: Basic results from PICQ data Also some significance testing of results in SPSS Not yet received all data

Results: Changes between Editions of ICD-10-AM 1 st edition to 2 nd edition In the first 6 months of ICD- 10-AM 2 nd edition: 1 of 5 States improved their overall Fatal indicator rate 5 of 5 States improved their overall Warning indicator rate 2 nd edition to 3 rd edition In the first 12 months of ICD- 10-AM 3 rd edition: 3 of 5 States improved their overall Fatal indicator rate 4 of 5 States improved their overall Warning indicator rate

Results: Changes over time using ICD-10-AM 2 nd Edition Jul-Dec 2000 compared to of 5 States improved their overall Fatal indicator rate –State that did not improve went from having the 2 nd highest rate in 2000, to a rate more than double any one else in of 5 States improve their overall Warning indicator rate –Less marked change than for Fatal indicators

Comparison of fatal indicator error rates between jurisdictions

Fatal Indicators with high rates Indicator1st Ed2nd Ed3rd Ed Jan-Jun /022002/03 Secondary neoplasm site code without primary site code Alzheimer's disease code without dementia code Newborn affected by C/S w/out code indicating effect Type of spinal cord lesion w/out functional level of spinal cord lesion

Comparison of warning indicator error rates between jurisdictions

Warning Indicators with high rates Indicator1st Ed2nd Ed3rd Ed Jan-Jun /022002/03 Cataract code as principal diagnosis before glaucoma code Insertion of pacemaker code without insertion of electrode code Diabetes mellitus, non insulin-dependant, age <30 years Respiratory distress of newborn unspecified

Relationship between Fatal and Warning Indicators

What do the results say about coding quality in Australia? Having a tool to measure the quality of coding has resulted in an overall improvement in these areas nationally Using PICQ at a Health Department level, and feeding the results back to hospitals, results in improved data That there is more work to be undertaken Coding quality is not related to size of the jurisdiction

Indicator rates are just a starting point! Great PICQ indicator rates  great overall coding Poor PICQ indicator rates  poor overall coding May highlight: –Coders not following coding standards & conventions –Local coding practices –Classification issues –Documentation issues –Issues may be system related, rather than coder related

Outcomes From PICQ Analysis NCCH Coder education (including in Coding Matters) Development of ICD-10-AM 4 th Edition Development of PICQ Jurisdictions Raised interest in benchmarking Provided information to support education Increased desire for information that can be released to their Coding Committees

Where to from here? Further analysis Feed information back to Coding Committees for consideration at a local level Release of PICQ 2004 (for use with 4 th edition codes) –97 New indicators for 4 th edition –223 Total indicators for 4 th edition