QAIHC ACE Program: Achieving Clinical Excellence

Transcription

1 QAIHC ACE Program: Achieving Clinical Excellence Using data to drive better clinical performance and health outcome Dr Katie Panaretto

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3 Clinical Governance and Health Journey began 2006 Information - QAIHC Began with QAIHC and member services wanting to lead work in: Monitoring health status Accountability in clinical work Quality improvement Data - seemlessly collected and tied to best practice guidelines Indicators QAIHC Core Indicators

4 Clinical Transformation: how? Change principles Culture Evidence base Clinical QI Workflow redesign Technology J Van Norman Cerner Health

5 Clinical Governance, Health Information, ACE program - QAIHC ACE program clinical CQI program Integrate and harness technology: EMRs, EDSS, CQI tools and portals Data repository QAIHC Core Indicators APCC measures OSR Use of data Overview of performance GIS work Research programs

6 Clinical Governance and Health Information - QAIHC Small affiliate team CQI coordinators EMR/systems support officer Data Management Officer Model for Improvement, change management principles Leadership, set standards and targets Workshops Site visits, network via teleconference, webinars Secondary use of data is important Partnerships

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8 QAIHC member staff

9 Service size: how people do we see Regulars- adults B G I M P Q D J K O S L N A E F R C H Far North Queensland North & North West Queensland South & South West Queensland South East Queensland Central Queensland

10 % patients measured QAIHC Core Indicators key clinical care time trends 100% 90% 80% 70% 60% 50% 40% 30% Tobacco Use BP HBA1c BMI Alcohol egfr Waist 20% 10% 0% Jun-10 Oct-10 Feb-11 Jun-11 Oct-11 Feb-12 Jun-12 Oct-12 Feb-13 Jun-13 Oct-13 Feb-14

11 % of Indigenous Health Checks Health checks: % 70% 60% 50% 40% 30% Adult: 55+ yrs Child: 6-14 yrs Adult: yrs Child: 0-5 yrs 20% 10% 0% Jun-10 Oct-10 Feb-11 Jun-11 Oct-11 Feb-12 Jun-12 Oct-12 Feb-13 Jun-13 Oct-13 Feb-14

12 % of patients QAIHC Core Indicators hypertension time trends 100% 90% 80% 70% 60% 50% 40% 30% 20% CHD patients on GPMP+ Hypertension and BP recorded (6 months)# Hypertension on correct medication* Adults with Hypertension 10% 0%

13 QAIHC Core Indicators Adult health checks - benchmarked 2011 QAIHC Average: 41% 2012 QAIHC Average: 51% 2013 QAIHC Average: 61%

14 Kidney checks 70% 60% 50% 40% 30% 20% 10% 0% B G I M P Q D J K O S L N A E F R C H Far North Queensland North & North West Queensland South & South West Queensland South East Queensland Central Queensland egfr Recorded QAIHC STANDARD

15 QAIHC Core Indicators Kids: recording weight - benchmarked 2011 QAIHC Average: 67% 2012 QAIHC Average: 71% 2013 QAIHC Average: 73%

16 QAIHC Core Indicators underheight kids - benchmarked 2011 QAIHC Average: 30% 2012 QAIHC Average: 26% 2013 QAIHC Average: 29%

17 National work improving use of data By late 2014: STI module Antenatal module Immunisation

18 HI Service performance Data provides an overview of : service performance health status of user patients Identify gaps and areas needing changes in strategic planning How do we analyse and feedback to members

19 QAIHC HI team

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21 QiConnect APCC data platform

22 QiConnect APCC data platform

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25 Decision Support Medical Director- software Pen Primary Care SideBar HealthTracker assessment

26 Decision Support

27 Risk Projection

28 Integration with CQI systems CVD Risk factor screening What is the goal? All people in whom Absolute Risk assessment is indicated or who already have CVD should have smoking status, BP, and cholesterol measured and up to date. Who is the target population? 1. Regular attendees of the service (seen 3 times in last 2 years AND once in last 6 months) AND 2. Aboriginal and Torres Strait Islander people aged 35 years. All others aged 45 years What is needed to meet the goal? Smoking status recorded, Total and HDL Cholesterol recorded in the last 24 months, Systolic and Diastolic BP recorded in the last 12 months. CVD Risk factor screening - Randomisation data CQI data within PEN CAT CQI data with QiConnect - Linked to QAIHC pages at present 28

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30 GIS - Geospatial work

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35 GIS work ACCHOs in regional areas see the majority of Aboriginal people living in their catchment areas: comparing Census data and data from EMRs % catchment population Travel time access to primary health care:? 30 min should be the maximum expected Using a 30 min cut off: between 10-40% of patients have poor access to their choice of culturally specific comprehensive PHC

36 Conclusion We are harnessing data to drive improvements in care Technology is rapidly changing Business intelligence should be progressing rapidly

37 Celebrating our teams

38 Acknowledging colleagues QAIHC Selwyn Button Aaron Hollins Dallas Leon Lynette Anderson Melvina Mitchell David Baker Matthew Cooke Chris Henaway Gail Wason Jacki Mein Anna Morgan Adrian Carson Mark Wenitong Jo De Vries Virja Panday Ian Ring PEN Christine Chidgey IF Colin Frick Malathi Kanagasabapathy NACCHO Jason Agostino Lisa Briggs Ngiare Brown