Assessing the Concordance of Coded Morbidity and Mortality Data for In-Hospital Trauma-Related Deaths Presenter: Bridget Allison Research Team:Kirsten.

Slides:



Advertisements
Similar presentations
Medical Coding Chapter 3.
Advertisements

Queensland University of Technology CRICOS No J National Centre for Health Information Research and Training Research, training and consultancy services.
Epidemiology and benefit to patients from accurate coding Heather Walker CHKS Consultancy and Marketing Director 4 th May 2012.
12 June 2004Clinical algorithms in public health1 Seminar on “Intelligent data analysis and data mining – Application in medicine” Research on poisonings.
Chapter 15 Newborn (Perinatal) Guidelines ( )
Using ICD Codes and Birth Records to Prevent Mismatches of Multiple Births in Linked Hospital Readmission Data Alison Fraser 1, MSPH, Zhiwei Liu 2, MS,
CRICOS No J Dr Kirsten McKenzie and Ms Debbie Scott International Data Linkage Conference2nd-4 th May 2012 Assessing the effectiveness of the child.
Improving Falls Clinic client engagement in falls prevention activities National Ageing Research Institute with Royal Melbourne Hospital; Royal Park Campus,
ASE Event Slides  Major Trauma  Sepsis  QIPP 114 June 2010.
Documentation for Acute Care
INTRODUCTION TO ICD-9-CM
INTRODUCTION TO ICD-9-CM PART TWO ICD-9-CM Official Guidelines (Sections II and III): Selection of Principal Diagnosis/Additional Diagnoses for Inpatient.
Copyright © 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2002 by Saunders, an imprint of Elsevier Inc. Slide 1 Copyright © 2012, 2011, 2010, 2009,
Health Statistics and Informatics An introduction to cause-of-death statistics Department of Health Statistics and Information Systems Presented by Doris.
MEDICAL RECORDS MANAGEMENT IN EYE CARE SERVICES 6.International classification of Disease & Procedures and the method of Indexing data.
Patient Safety and Public Health Informatics Iona Thraen, ACSW Patient Safety Director.
National Report Card on Hospital care for heart disease in Indigenous Australia Traven Lea, National Manager, Aboriginal and Torres Strait Islander Program.
Ginger Floerchinger-Franks, Dr.P.H Director, Idaho Trauma 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,
Allied health student training Pre-placement training requirements Welcome to the video-conference. This video-conference will be recorded. Your participation.
Injury surveillance in Australia: aims and issues James Harrison Research Centre for Injury Studies Adelaide, South Australia September 2006.
An Indicator for mortality: Thinking beyond external cause! (a.k.a. selecting a main injury) Margaret Warner, Ph.D. Li-Hui Chen, Ph.D. Rolf Gedeborg, Injury.
Agency for Healthcare Research and Quality Advancing Excellence in Health Care Improving Administrative Data for Public Reporting Anne Elixhauser.
Hospital maintain various indexes and register so that each health records and other health information can be located and classified for Patient care.
RISK ADJUSTMENT CODING
Health Research & Information Division, ESRI, Dublin, July 2008 The Audit Process.
Chapter 15 HOSPITAL INSURANCE.
1 National Outcomes and Casemix Collection Training Workshop Older Persons Inpatient.
Serbia Health Project – Additional Financing Training for Trainers on AR-DRG, Република Србија МИНИСТАРСТВО ЗДРАВЉА Linda Best
Serbia Health Project – Additional Financing Training for Trainers on AR-DRG, Република Србија МИНИСТАРСТВО ЗДРАВЉА Linda Best
Avoidable Injuries How can we monitor them effectively? Carol Williams Public Health Analyst Northamptonshire Teaching PCT.
Components of HIV/AIDS Case Surveillance: Case Report Forms and Sources.
What impact will implementation of ICD-10 have on mortality statistics by cause in the elderly? Clare Griffiths Health and Care Division Office for National.
Comparison of ICD-10-AM Data Quality Between Jurisdictions, As Measured by PICQ 2002 Authors:Catherine Perry Sue Wood Kirsten McKenzie Andrea Groom Kerry.
ICD-10-CM Made Simple Prepared Geanetta Agbona CPC, CPC-I, CBCS AHIMA Approved ICD-10-CM Trainer/AAPC Physician Educator 1.
Module 3: Informed Consent. This training session contains information regarding: Documenting consent Documenting consent Conducting informed consent.
Medicare Documentation & ICD-9-CM Coding Presented by Rhonda Anderson, RHIA President Anderson Health Information Systems, Inc
Developments & Issues in the Production of the Summary Hospital-level Mortality Indicator (SHMI) Health and Social Care Information Centre (HSCIC)
Serbia Health Project – Additional Financing Training for Trainers on AR-DRG, Република Србија МИНИСТАРСТВО ЗДРАВЉА Linda Best
Centers for Disease Control and Prevention National Center for Health Statistics Melonie Heron, Ph.D. & Robert N. Anderson, Ph.D. Mortality Statistics.
0 Presentation to: 5 August 2015 Presented by: Heather Bond, Medicaid Assistant Chief, Regulatory Compliance Exciting ICD-10 Presentation.
Seminar 4. Unit 4 Inpatient coding guidelines Principal diagnosis: “that condition established after study to be chiefly responsible for occasioning the.
Studying Health Care: Some ICD-10 Tools Hude Quan, Nicole Fehr, Leslie Roos University of Calgary and Manitoba Centre for Health Policy.
1 National Outcomes and Casemix Collection Training Workshop Adult Inpatient.
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.
Centers for Disease Control and Prevention National Center for Health Statistics ICE on Injury Statistics, Sept 2006 Margaret Warner, PhD Office of Analysis.
The challenges of being a “Fish out of Water” Working in multi-disciplinary teams in non-traditional disciplines Bridget Allison & Dr. Kirsten McKenzie.
Updating Recommendations for Injury Surveillance in State Health Departments Report from the Injury Surveillance Workgroup.
Copyright © 2016 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
Lesson 4Page 1 of 27 Lesson 4 Sources of Routinely Collected Data for Surveillance.
Mortality and morbidity from external causes, Chile
Centers for Disease Control and Prevention National Center for Health Statistics Melonie Heron, Ph.D. & Robert N. Anderson, Ph.D. Mortality Statistics.
Injury Surveillance Thomas Songer, PhD University of Pittsburgh.
M O N T E N E G R O Negotiating Team for Accession of Montenegro to the European Union Working Group for Chapter 18 – Statistics Bilateral screening: Chapter.
Hospital Episode Statistics (HES) Roy Maxwell (Senior Analyst) Tel: extn 307
EC TWINNING PROJECT Development of National Coding Standards within the Czech DRG System CZ2005/IB/SO/03.
South West Public Health Observatory New insights into place of death for people with Alzheimer’s disease, dementia and senility Dr Julia Verne.
The WHO Revision Process Morbidity Kerry Innes Manager Australian Centre for Clinical Terminology and Information Towards ICD-11 for Australia University.
South East Public Health Observatory Hospital Episodes Statistics (HES) Steve Morgan - Senior Public Health Intelligence Analyst - SEPHO Day 2 – Session.
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.
Slide 1 Copyright © 2014 by Saunders, an imprint of Elsevier Inc. CHAPTER 9 ICD-9-CM OUTPATIENT CODING AND REPORTING GUIDELINES.
Robyn Korn, MBA, RHIA, CPHQ HS225- Week 8 Overview of ICD-9-CM.
Diagnosis Coding.
ICD-9- CM codes.
Lancet. 2017 Aug 5;390(10094): doi: /S (17) Epub 2017 May 25.
The challenges for SIRs & Sepsis data capture and reporting in ICD-10-AM in HIPE 22/09/2018.
Mary Jo Bowie MS, BS, AAS, RHIA, RHIT
Dataset Description Time Period Accident & Emergency
Presentation transcript:

Assessing the Concordance of Coded Morbidity and Mortality Data for In-Hospital Trauma-Related Deaths Presenter: Bridget Allison Research Team:Kirsten McKenzie, Sue Walker, Leanne Aitken, Andrea Besenyei, Deirdre McDonagh Affiliations:National Centre for Classification in Health, QUT Institute of Health and Biomedical Innovation, QUT Queensland Trauma Registry, UQ

National Centre for Classification in Health Mission: The National Centre for Classification in Health (NCCH) is the Australian centre of excellence in health classification theory and an expert centre in coding systems. The NCCH is dedicated to supporting our clients in their use of health classifications and related products.

Background In-hospital mortality rate key indicator of trauma system effectiveness Few researchers have investigated the concordance of causes of death and causes of hospital admission Are the same causes of trauma listed on death certificate as documented in hospital records?

Factors affecting concordance of morbidity and mortality data Different coding guidelines and selection rules Differences in classification versions used Coding errors Documentation differences Autopsy and certification processes

Different coding guidelines, selection rules, and classification versions used Principal Diagnosis (ICD-10-AM) –The principal diagnosis is considered to be chiefly responsible for occasioning the patient's episode of care in hospital Underlying Cause of Death (ICD-10) –The underlying cause of death is defined as (a) the disease or injury which initiated the train of morbid events leading directly to death, or (b) the circumstances of the accident or violence which produced the fatal injury –Cause of injury is the UCOD for deaths due to trauma Multiple Causes of Death –All other conditions, including the injuries resulting from the external cause, are coded as multiple causes of death Part I and Part II of Death Certificate

Coding errors Incomplete or inaccurate coding affects data quality Previous research has identified errors in injury coding and external cause coding affecting up to 28% of medical records

Documentation differences Morbidity coders have complete hospital record to code from while mortality coders largely confined to death certificate Previous research found that concordance of hospital records and death certificates varies by: –Principal diagnosis –Type and number of co-morbidities of the patient –Time from admission to death –Acuity of the condition –Details available regarding the diagnoses

Autopsy and certification processes Certifier may be unaware of prior injury Certifier may not consider the injury to be a contributory factor towards the death Certifier may not document the injury and/or external cause on the death certificate Autopsy results may not be available for coding of hospital records and/or death certificate

Research Questions What was the in-hospital mortality rate for patients admitted to hospital for trauma? Was trauma recorded on the death certificate of patients who died in hospital? If trauma was recorded, was there concordance in the coded data between the morbidity and mortality collections for trauma patients who died in hospital?

Research Methodology Participants = 1672 patients admitted to hospital for >24hrs with PDx of injury Procedure: –Data matched to NDI using probabilistic matching based on demographic variables (name, sex, DoB etc) –NDI reported specificity 98.5% and sensitivity 89.2% (Kelman, ANZJPH, 2000, 24 (2) pp ) –Matched cases formed sample for this research

Results Of 1672 trauma admissions, 3.6% died in hospital (n=60) Medical vs Traumatic COD –89% had trauma coded in NDI though 18% of these had medical condition as UCOD –11% did not have trauma coded in NDI Age by medical vs traumatic COD –All but one person <65 had trauma as UCOD –Only 50% of >65 year olds had trauma as UCOD

Most Common Causes of Injury by Medical vs Traumatic UCOD

Results Concordance of cause of injury between morbidity and mortality data: –36% same cause of injury –14% more defined cause in NDI –22% less defined cause in NDI –28% no match Age by concordance of cause of injury data –67% <65 had matched or more detailed NDI data –Only 27% >65 year olds had matched NDI data

Most Common Causes of Injury by Concordance with NDI

Discussion Despite being admitted and treated for trauma related injuries –18% of cases did not have a trauma-related UCOD and –11% of cases did not have a trauma-related code in the National Death Index People over 65 years old less likely to have trauma documented on death certificate, though trauma arguably increases risk of dying from co-morbidities

Discussion Where trauma was documented on death certificate, causes of injury not concordant between morbidity and mortality data with 50% less defined or no match in NDI Use of unspecified codes on NDI (e.g. Exposure to unspecified factor) compared with more detailed coded hospital morbidity data (e.g. fall from bed) -> Unable to determine that injury caused by fall if using mortality data alone

Recommendations Use linked hospital morbidity data in conjunction with national mortality data to afford greater detail for trauma outcome research Consider aims of your research and determine most appropriate source of coded data Understand the underlying constraints inherent in the production of national morbidity and mortality datasets and how this affects data quality

Future Developments Study conducted using data from a single hospital and a single trauma registry and using a small sample Expanding to include all QTR sites for 2003, ~ 12,000 trauma admissions

Further information Bridget Allison Health Information Manager National Centre for Classification in Health Ph