EUropean Best Information through Regional Outcomes in Diabetes Managing a diabetes database: using a data dictionary and processing health records Scott.

Slides:



Advertisements
Similar presentations
Diabetic Foot Problems
Advertisements

Familial hypercholesterolaemia
Three datasets are better than one! Alcohol related diagnoses from ambulance to hospital admission, Melbourne, Australia Sharon Matthews Jason Ferris Belinda.
Jeffrey A. Johnson, PhD Stephanie U. Vermeulen, MSc. University of Alberta & Institute of Health Economics March 11, 2008.
National Diabetes Audit (NDA) PARTNERSHIP WORKING WITH PATIENTS AND SERVICE USERS Laura Fargher Diabetes UK.
Fylde Coast Integrated Diabetes Care
Definitions Body Mass Index (BMI) describes relative weight for height: weight (kg)/height (m 2 ) Overweight = 25–29.9 BMI Obesity = >30 BMI.
South Ayrshire Community Health Partnership Summary of key SOA health priority information – September 2012.
JAMES R. CHRISTINA, DPM DIRECTOR SCIENTIFIC AFFAIRS AMERICAN PODIATRIC MEDICAL ASSOCIATION FOOTCARE AND DIABETES.
Area 4 SHARP Face-to-Face Conference Phenotyping Team – Centerphase Project Assessing the Value of Phenotyping Algorithms June 30, 2011.
The Scottish Health Survey (SHeS) Julie Ramsay Scottish Government Health Directorates.
Learning objectives:- 1. Introduction. 2. Define health record. 3. Explain types of health record. 4. Mention purposes of health record. 5. List general.
NATIONAL CLINICAL AUDIT A VOLUNTARY SECTOR PERSPECTIVE National Diabetes Audit (NDA) Laura Fargher Diabetes UK.
Improving Data Recording in Primary Care Data Michelle Page & Hassy Dattani THIN.
NDAU/NNAP Collaborators Meeting A National Neonatal Network Neena Modi Professor of Neonatal Medicine Imperial College London Vice President, Science &
Body Weight and Mortality: New Population Based Evidences Body Weight and Mortality: New Population Based Evidences Dongfeng Gu, MD Dongfeng Gu, MD Fu.
National Diabetes Education Program NDEP ( ) A joint program of NIH and CDC Diabetes: The Numbers Revised.
NON-STEROIDAL ANTI-INFLAMMATORY DRUGS AND PANCREATIC CANCER RISK: A NESTED CASE-CONTROL STUDY Marie Bradley, Carmel Hughes, Marie Cantwell and Liam Murray.
Evidence into Practice: Diabetes Public Health England May 2014 Dr Junaid Bajwa.
Implementing NICE guidance
A Profile of Health among Massachusetts Adults: Highlights from the Massachusetts Behavioral Risk Factor Surveillance System (BRFSS) Health Survey.
Improving the Quality of Physical Health Checks
EUropean Best Information through Regional Outcomes in Diabetes Risk Adjusted Diabetes Indicators Fabrizio Carinci Technical Coordinator The BIRO Academy.
Improving the Quality of Physical Health Checks Kate Dale, Mental/Physical Health Lead BDCT.
Jennifer Hillebrand, „Rehabilitation of Drug Addicted Persons: Experience of Lithuania and European Countries”, 18 October 2007 Improving drug treatment.
Ministry of Health and Population Preventive and Primary Health Care Sector Ministry of Health and Population Preventive and Primary Health Care Sector.
Pattern of Diabetes Emergencies among adult Yemeni Diabetic Patients Dr. Zayed Atef Faculty of Medicine Sana’a University.
Effect of Hypertension and Dyslipidemia on glycemic control among Type 2 Diabetes patients in Thailand Dr. Mya Thandar Dr.PH. Batch 5 1.
Using Healthy Heart Data by Rick Frey, PhD Toiyabe Indian Health Project, Inc. A collection of PowerPoint slides that have been used in grant applications,
Are hip fracture rates falling or rising over time? Using routine data to understand the Epidemiology. Scottish Faculty of Public Health Annual Conference,
The Skaraborg Project Population based studies over three decades Professor Ulf Lindblad MD, PhD University of Gothenburg and West Sweden Primary Care.
Intermediate outcome control in people with type 2 diabetes in the UK under comprehensive P4P Bruce Guthrie Alistair Emslie-Smith Andrew Morris.
SCI-Diabetes Overcoming the dragons of disconnected data Charles Flach – Business Analyst.
Association between Systolic Blood Pressure and Congestive Heart Failure Complication among Hypertensive and Diabetic Hypertensive Patients Mrs. Sutheera.
Databases Using them to study MS in the UK. Proposed research using: GPRD (General Practice Research Database) MSNTC Northwood Database.
DIABETES HOW IT AFFECTS YOU. What it is Diabetes is a common condition in which the amount of glucose (sugar) in the blood is too high because the body.
HDL LowLess than 40 mg/dL High60 mg/dL and above LDL OptimalLess than 100 mg/dL Near Optimal mg/dL Borderline High mg/dL High mg/dL.
Getting the Guidelines to Consumers. Motivating Businesses to Follow the Guidelines Raise consumer awareness Increase demand for the Guidelines as a screening.
Assessing Changes in Diabetes Management and Diabetes Complications in Utah Ladene Larsen, RN Barbara Larsen, RD, MPH William Stinner, Ph.D. Sandra Assasnik,
More information © 2015 Denver Public Health Tobacco Metrics: the Power of Electronic Health Records Theresa Mickiewicz, MSPH Public Health in the Rockies.
Cardiac MCN April 2007 Tackling Health Inequalities: Keep Well Programme.
Quality Education for a Healthier Scotland Pharmacy Pharmaceutical Care Planning Vocational Training Scheme: Level = Stage 2 Arlene Shaw Specialist Clinical.
RCA analysis; a collaborative approach to preventing PU. Project
Diabetes Aspects of the Local Enhanced Service Dr Mark Barrett Dr Jeremy Sandford Dr Aythen Elkindi.
Guide to CCG Data Profiles Version Version information and PDF production date The main part of the profile uses information on CCGs’ proposed practices.
Clinical Health Indicator Improvements and Hospital Usage Report Health Integration Project December 2013 Matthew Rich Matthew Rich – Health Integration.
Introduction to Disease Prevalence modelling Day 6 23 rd September 2009 James Hollinshead Paul Fryers Ben Kearns.
Diabetes Health intelligence Jon Walker Advanced public health analyst Surrey County Council
Diabetes Health intelligence Jon Walker Advanced public health analyst Surrey County Council
CHAPTER 7: Obesity in Women. Introduction 68% of U.S. population is overweight or obese. Resulting medical and psychosocial difficulties can be debilitating.
Joint Strategic Needs Assessment Workshop Crawley and Horsham & Mid Sussex CCGs May 2012 Catherine Scott Consultant in Public Health.
Dr. Nadira Mehriban. INTRODUCTION Diabetic retinopathy (DR) is one of the major micro vascular complications of diabetes and most significant cause of.
Introduction to Lifestyle Data Peter Cornish South East Public Health Intelligence Analyst Training Day 2, Session 4 11 th February 2016.
Hospital inpatient data James Hebblethwaite. Acknowledgements This presentation has been adapted from the original presentation provided by the following.
Information to Support Practice Based Commissioning SEPHIG 10/11/2008.
Circulation. 2014;129: Association Between Plasma Triglycerides and High-Density Lipoprotein Cholesterol and Microvascular Kidney Disease and Retinopathy.
Risk Factors for Renal Dysfunction in Type 2 Diabetes: U.K. Prospective Diabetes Study 74 Ravi Retnakaran, Carole A Cull, Kerensa I Thorne, Amanda I Adler,
A ssociation of Public Health Observatories Hospital Activity data Roy Maxwell SWPHO & Bristol University Dr Richard Wilson Sandwell PCT.
Introduction to Hospital Episode Statistics (HES) Robel Feleke Knowledge and Intelligence Team (London) 20 th February 2014.
National Diabetes Information Service Using Data and Information to Improve the Quality of care and Outcomes for People with Diabetes Sharon Finney Commissioning.
Diabetes Care Planning Interim Results
Noncommunicable Diseases Surveillance in Egypt
From ESH 2016 | LB 3: Davide Agnoletti, MD
NDA – THE LATEST DATA Prof Roger Gadsby MBE FRCGP Honorary Associate Clinical Professor , WMS GP Clinical Lead National Diabetes Audit.
SCI-Diabetes and My Diabetes My Way: A Primary Care Focus
Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults Risks and Assessment NHLBI Obesity Education.
Cardiometabolic Health Check
Principal recommendations
The Diabetes Cross-Disciplinary Index (DXDI).
The Heart Truth Delaware Background
Presentation transcript:

EUropean Best Information through Regional Outcomes in Diabetes Managing a diabetes database: using a data dictionary and processing health records Scott Cunningham University of Dundee, Scotland The BIRO Academy 2 nd Residential Course Brussels, 23 rd -25 th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Introduction Background Defining a European common diabetes dataset Defining a European diabetes data dictionary Processing health records Conclusions

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Background BIRO WP2: Core diabetes indicators – clinical review of current evidence Candidate indicators Core indicators Basis for dataset

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Background Accurate comparisons of diabetes indicators Standardised data currency – Consistent data storage – Consistent aggregation Data standards – Quality – Relevance – Consistency – Avoid duplication Reduction in costs of data development EUBIROD Common Diabetes Dataset

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Common Diabetes Dataset “The WP will ensure the definition of a minimum dataset that can be used as a common data reference for the extraction of compatible entities at the international level.” “A coding/decoding mechanism will be identified to translate regional data in entities that can contribute to the definition of a shared information system.” Existing data standards…

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Common Diabetes Dataset Methodology – Clinical review (BIRO WP2) – Analysis of BIRO partner datasets (7 partners) Scottish Diabetes Dataset DiabCare Umbria AMD data file EUCID project used for validation – Review carried out for EUBIROD 20 partners Common dataset for diabetes – Clinical definitions – International System of units (SI)

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Common Diabetes Dataset DiabCare data items do not have clear definitions Forum for Quality System in Diabetes (FQSD) and Scottish definitions available EUBIROD definitions based on understanding of common methods of recording

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Common Diabetes Dataset Each BIRO Dataset item recorded as a “Parameter” Parameters have a unique reference – Are clearly defined – Have an associated data type – May have a unit of measurement (e.g.kg/m 2 ) – May have an upper or lower boundary – May have a locally defined guideline value – Based on evidence and best practice

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Common Diabetes Dataset Data items assigned “validity” rating after comparison across datasets – “High” Validity: High Validity items consistent across ≥90% of analysed datasets – “Medium” Validity: consistent across ≥60% and <90% of analysed datasets – “Low” Validity: those which are consistent across <60% of analysed datasets

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Common Diabetes Dataset 25 High Validity Data Items Identified Basic Patient Information – e.g. Type of Diabetes, Date of Birth, Year of Diagnosis Risk Factors – e.g. Smoking Status Clinical Measurements – e.g. Weight, Height, SBP, DBP, HbA1c, Creatinine Examinations – e.g. Eye Examinations Outcomes – e.g. End Stage Renal Failure

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Common Diabetes Dataset Clinical profile data – Country – Data Source Type e.g. GP, Hospital Clinic (Diabetes), Regional Register – Name of Clinic – Clinic Denominator (Population) – Geographical Area – Website – Contact details

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Common Diabetes Dataset

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Common Diabetes Dataset Already used for data repository design – Cyprus Available and browseable online EUBIROD Dataset:

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Common Diabetes Dataset Standardised European data currency Mandatory items – Unique patient identifier – Diabetes diagnosis – Date of diagnosis – Gender – Outcome dates (approximated or default if necessary) Basis of data dictionary…

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Diabetes Data Dictionary “The WP will create an electronic directory inclusive of concept and data dictionaries for diabetes care and prevention, thereby allowing to dynamically link the clinical knowledge-base to the systematic evaluation of health systems outcomes.”

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Diabetes Data Dictionary Explain ‘data about the data’ Formally document dataset compliance Issues with local data – Local knowledge essential to explain anomalies Local recording methods Data quality criteria XML documentation

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Diabetes Data Dictionary Web application to allow entry of local info Data can be reviewed and updated as local datasets change Explain local deviations from definitions Gain local knowledge Consistent output produced across all partners Validated XML created for each data source

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Diabetes Data Dictionary Type of diabetes

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Diabetes Data Dictionary

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Diabetes Data Dictionary Data standards evolve: – HbA1c: IFCC measurement (mmol/mol) – Waist circumference – Estimated glomerular filtration rate (eGFR) – Laterality for foot/eye data? – Previous foot ulcer – Additional defined diabetes types LADA, MODY, Pancreatic Pathology, Secondary Diabetes, Drug Induced, etc – New drug therapies Boundary values included to omit anomalies

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Diabetes Data Dictionary ParameterLower BoundaryUpper Boundary Date of Birth≥01/01/1900Current Date Date of Diagnosis≥DOBCurrent Date Episode Date≥DOBCurrent Date Cigarettes per day0100 Alcohol Intake060 Weight 5300 Height 0.33 Body Mass Index Systolic Blood Pressure Diastolic Blood Pressure HbA1c Creatinine Total Cholesterol HDL Triglycerides Average Injections020 LDL Commencement of patient activity≥DOBCurrent Date Completion of patient activity≥DOBCurrent Date

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Processing Health Records Mappings defined from local datasets to EUBIROD standard – Local controlled vocabularies – Non-standard units of measurement Dataset and data dictionary at core of EUBIROD developments – More later! Case study – Scotland!

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Processing Health Records Scottish Care Information – Diabetes Collaboration (SCI-DC) National system for NHS Scotland Began as a research project (DARTS) – Started small and developed First minimum dataset – June 1998 National system status 2002 Full coverage by 2006 – All GP sites and hospital clinics – Specialist services and web data entry Shared electronic record for diabetes

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Processing Health Records Extract in standard format Consolidate into common structures Record linkage using unique reference

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Clinical Guidelines

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Processing Health Records System designed for clinical care Supporting single data entry across systems Secondary data use – Clinical audit – Research and enhancing evidence base – Direct patient access

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Tayside – Annual Report 2010 Duration in years as a percentage of diabetes type in Tayside

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Scottish Diabetes Survey 2009 Diabetes prevalence in each NHS board

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Monitoring for Quality Improvement Scotland’s diabetes prevalence – 2002: 103,835 (2%) – 2009: 228,004 (4.4%) Type 1 diabetes: 13% Type 2 diabetes: 87%

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Monitoring for Quality Improvement 2005 – 2007 estimates: diabetes-related admissions account for ~12% of Scotland’s inpatient costs of £2.4bn – £26 million for type 1 diabetes – £275 million for type 2 diabetes One in ten people in hospital have diabetes 60% of people with diabetes admitted as inpatients have been admitted as emergencies 2008: Diabetes UK estimated that diabetes accounted for 10% off all NHS expenditure in UK – £9 billion per year, or £1 million every hour – Double a 2002 Department of Health estimate

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Monitoring for Quality Improvement 2009 Scottish Diabetes Survey – 9735 (4.3%) reported as having ever had a foot ulcer – 1132 (0.5%) had a lower limb amputation – Lower limb amputation rates are 15 times higher in people with diabetes than those without – (9.5%) have a record of a previous MII – (5.1%) recorded as having had a CVA – 80% of people with diabetes will die from cardiovascular complications

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Monitoring for Quality Improvement 2009 Scottish Diabetes Survey – 20.6% had retinopathy present in one or both eyes – 1,824 (0.8%) people with diabetes recorded as blind – Diabetic retinopathy is the leading cause off blindness in people of working age in the UK – 254 (0.9%) off those with type 1 and 872 (0.4%) of those with type 2 diabetes have been recorded as having end stage renal failure – 32.7% overweight (BMI kg/m 2 ) – 51.0% obese (BMI 30kg/m 2 or over) – 19.5% are current smokers

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 EUCID

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 EUBIROD

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Conclusions Data standards improve: – Quality – Relevance – Consistency – Avoid duplication If you measure it, you can improve it! All levels of infrastructure can be reported – Local – National – International

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Conclusions We have covered: – Defining a European common diabetes dataset – Defining a European diabetes data dictionary – Processing health records Case study – Scotland Principles can be applied internationally

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 References EUBIROD Data Dictionary: The International System of Units: NHS Scotland Data Dictionary: EUBIROD Data Source Questionnaire:

The BIRO Academy 2nd Residential Course Brussels, 23rd-25th January 2011 Questions? Thank you for your attention!