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Forecasting in Acute and Chronic Disease Hosted by: Jacquie White - PowerPoint PPT Presentation

Population Health Planning and Forecasting in Acute and Chronic Disease Hosted by: Jacquie White Dr. Eileen Pepler Claire Cordeaux Brittany Hagedorn Deputy Director for LTC, The Pepler Group Executive Director US Healthcare Lead Older


  1. Population Health Planning and Forecasting in Acute and Chronic Disease Hosted by: Jacquie White Dr. Eileen Pepler Claire Cordeaux Brittany Hagedorn Deputy Director for LTC, The Pepler Group Executive Director US Healthcare Lead Older People & End of SIMUL8 Corporation SIMUL8 Corporation Life Care NHS England www.england.nhs.uk

  2. Hosted by: Jacquie White Dr. Eileen Pepler Claire Cordeaux Brittany Hagedorn Deputy Director for LTC, The Pepler Group Executive Director US Healthcare Lead Older People & End of SIMUL8 Corporation SIMUL8 Corporation Life Care NHS England www.england.nhs.uk

  3. Agenda  Introductions • Jacquie White • Dr Eileen Pepler • Claire Cordeaux  Canada and UK Health Systems: Dr. Eileen Pepler  NHS England and New Models of Care: Jacquie White  Simulation/Population Health Modelling to inform long term conditions: Claire Cordeaux  Reflections from Canada: Dr Eileen Pepler  Discussion www.england.nhs.uk

  4. How did this conversation happen?

  5. Global challenges Increasing demand • Rise of long term conditions and multi-morbidity: physical and mental • Ageing population • Increasing system wide expectations: access, treatment, cure not care Supply pressures • Dependence on system • Hospital and medic-centric care models • Workforce – recruitment & retention, ageing, diversity and culture • Fragmentation of care in health and to social care • Crisis curve Solution – Transforming what we buy and how we buy it: • Person centred co-ordinated care – whole person approach to improve outcomes and value

  6. Canadian and UK systems compared www.england.nhs.uk

  7. Canada and the UK Source: OECD

  8. Canada and the UK Source: OECD

  9. Similar Challenges • On September 16, 2004, the Canadian government announced $41 billion over the next 10 years of new federal funding in support of the action plan on health. • That Health Accord expired in 2014 and the federal government did not negotiate funding leading up to 2015 — just measurement, accountability and best practices • The funding is set — an increase of six percent in the first three years, and a minimum of three percent in the remaining seven years • In 2015 new government---another shift, new thinking, new demands for non-physician centric models, rural, aboriginal, vulnerable service improvements and workforce aging…………

  10. Need to Reset Our Delivery System

  11. Resetting — Shift to Population Health • New Models of Care — strategic methodology • Population Shifts — aging, chronic disease, etc. • Workforce Implications---existing versus future • Shifting dynamics between patients and clinicians • Self-care management • Impact of Technology enabled care • Workforce arrangements demand co-operation between very different workforce groups • Coordinator or ‘navigator’ roles become crucial in a complex fragmented landscape • Thinking outside the ‘box’ and keeping the welfare of the patient at the forefront • Learning from other jurisdictions--- NHS Long Term Conditions Program/Simulation/Funding

  12. NHS England Approach www.england.nhs.uk

  13. The NHS England programme Definitions • Person not patient • Long Term Conditions not chronic disease • Whole person not separation of physical, mental, emotional and social needs • Co-ordinated care not integrated care

  14. Tackling the priorities in the NHS • Empowering patients and informal carers to be full partners in care • Whole person focus • Life course approach to care needs • Strengthening Primary and Community Care • Older people with increasingly complex needs including frailty • New care models moving away from purely medical, hospital- centric focus • Strengthen key enablers – IT, Workforce, Technology • Need for a new purchaser/provider/funding model

  15. LTC Framework: House of Care

  16. Outcomes and benefits • More activated patients have 8% lower costs in the base year and 21% lower costs in the following year than less activated patients • Health coaching can yield a 63% cost saving from reduced clinical time, giving a potential annual saving of £12,438 per FTE from a training cost of £400 • Coaching and care co-ordination has shown to reduce emergency admissions by 24% • Improved medication adherence improves outcomes and yields efficiencies, for instance in 6000 adults in the UK with Cystic Fibrosis, could save more than £100 million over 5-years • Between 20% and 30% of hospital admissions in over 85’s could be prevented by proactive case finding, frailty assessment, care planning and use of services outside of hospital

  17. Long Term Conditions Year of Care Commissioning Programme • Engagement and commitment across the system • Patients, Clinicians, Managers, Senior leaders • Joint vision and narrative • Shared benefits • Whole Population Analysis • Understanding the population • Risk profiling and segmentation • Patient & Service Selection • Planning for Change • Simulation Modelling • Workforce • Capitated Budget • Delivery Models • Service redesign • Contracting and performance monitoring

  18. National Population Analysis Prevalence: – There are 16 million with one LTC, 10 million with two LTCs, 1 million people in England with frailty, and 0.5 million approaching end of life Quality of life: – The larger the number of co-morbidities a patient has the lower their quality of life – Increasing evidence of over-treatment and harm – Social isolation/loneliness a risk factor for mortality in over 75s

  19. National Population Analysis Impact on the health system: – The average person with a LTC in the UK spends less than 4 hours a year with a health professional – Research has shown that 33% of all GP consultations are now with people with multi-morbidity – The number of days in a hospital bed increases strongly with age: those under 40 account for 1 million emergency bed days and those over 85 account for over 7 million emergency bed days – Three-fold increase in health costs across all care sectors due to frailty – 1300 people die each day and 25% of all hospital beds are occupied by somebody who is dying

  20. Multi Morbidity is Common:

  21. The total health and social care cost is strongly related to multi morbidity:

  22. People with complex health and care needs appear to demonstrate a ‘complex curve’:

  23. Long Term Conditions Year of Care Service Bundle:

  24. Delivery Models The service models being developed by our sites are essentially similar but differ to match local conditions. Similarities include: • Single point of access • Care planning and shared care record • Supported self management • Care co-ordination • Community multi-disciplinary team based around primary care, • Wider neighbourhood support including specialist practitioners, therapists • Recovery, Rehabilitation and Reablement “services” • Care navigators and voluntary sector as a key enabler. Differences include: • Whole population or selected cohorts • Formation of new organisations • New delivery models within and across existing organisations

  25. The role of simulation www.england.nhs.uk

  26. Whole system impact of change Scenario Generator What if? What if? Whole system Patient view including Demand from journeys by costs, Demographics age/condition/ resources, need queues

  27. Predictive Population Analytics Age-banded Age-banded disease population Demand prevalence projections HIV example 1.23m x HIV 0.465% = 2531

  28. Scenario Generator Functional Map Population Demography Prevalence Pathways Scenarios Referral patterns Maternity Capacity Duration Planned Population Urgent Whole Mental Health Simulation Demographic system results weighting model Social Care Prevalence/ Influencing factors Service Constrained Service points, flows resources models & waits

  29. Example: North Staffordshire and Stoke on Trent Simulation • What does current unscheduled care flow look like? • What will it look like in 5 years with ageing population? • What is the impact of increasing referrals to home care direct from hospital? Age-banded Disease Pathway population Demand prevalence process flow projections

  30. Initial Model

  31. Baseline Results – 10 run trial Aea NHS Scenario % • Ran the model data Generator through with the A+E 108,472 125,302 (17,026 received A&E out of area (5% S Staffs) 17,000 out-of-area) population data 0.99864512 Total NEL Admissions 84,297 84,470 1.00205227 • Set routing Elective admissions 12,674 12,710 1.00284046 percentages so Daycase 49,983 49,895 0.9982394 model matches Discharges to Community 4560 4507 Hospital 0.98837719 activity data. Discharge to social care teams 2183 2203 (Stoke) 1.0091617 Discharges from Community 4347 4430 Hospital 1.01909363 Intermediate Care (admission 590 581 avoidance) 0.98474576

  32. Cost and Length of Stay Assumptions Item £ LOS Hospital Bed £500 a day AMU/SAU/CDU Inpatient Community £263 per day 21 days Hospital Bed Intermediate care £47 per hour 30 hours A&E £105.5

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