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National and international integrated
care projects



Dr Judith Smith
Head of Policy
Nuffield Trust


East Cheshire Integrated Care Programme
7 November 2012
                                          © Nuffield Trust
Agenda

•Why does integrated care matter?
•What exactly is integrated care?
•On what examples can we draw?
• Where does this sit within the current policy context?
•Is integrated care an idea whose time has come?




                                                           © Nuffield Trust
Why does integrated care matter?

 • Rising levels of chronic disease
 • Ageing population
 • Increasing levels of hospital admissions and
   readmissions, especially among the elderly and
   vulnerable, and children
 • Economic hard times, and unsustainable health and social
   care economies
 • And too often we still do not get it right in terms of care co-
   ordination, care planning, communication with families
 • Somehow, care for frail people with complex needs is not
   the pressing priority it needs to be within our health
   systems
                                                                     © Nuffield Trust
© Nuffield Trust
Policy desire for ‘transformation’
• We keep asserting a desire for care that is more
  community-based and less hospital-focused
• Expressed in various ways: Primary care-led NHS; Our
  Health, Our Care, Our Say; Transforming Community
  Services; Nothing about me without me; etc
• Other countries in a similar place: Australia, Canada, New
  Zealand, Netherlands, USA...
• But we have largely failed to achieve the policy intent in
  England, as the acute sector has grown, and activity there
  has risen (Audit Commission and Healthcare Commission, 2008)

                                                                 © Nuffield Trust
What exactly is integrated care?




                                   © Nuffield Trust
A definition of integrated care:

„Achieving integrated care requires those involved with
  planning and providing services “to impose the patient
  perspective as the organising principle of service
  delivery” [Lloyd and Wait, 2005, p7]‟

(Shaw et al, 2011, p7)




                                                           © Nuffield Trust
Mrs Smith, Mrs Jones... it is the individual‟s experience
that matters




                                                            © Nuffield Trust
                                    © Age Concern Picture
                                    Library
The term ‘integration’ can be a problem
• „The act of combining or adding parts to make a unified
  whole‟ (Collins English Dictionary)
• Raises antibodies about consolidation, centralisation,
  incorporation, amalgamation, assimilation, merger...
• And this has certainly been the case in a context of reforms
  focused on markets and localism
• We need first of all to understand what is fragmented –
  what needs to be integrated, from a patient‟s perspective?
• And perhaps we should focus more on „integrative
  processes‟ rather than integration per se?
                                                                 © Nuffield Trust
Integrative processes




                                © Nuffield Trust
   Source: Rosen et al (2011)
On what examples can we draw?

Torbay Care Trust (Ham and Smith, 2010)
• Care trust established in 2005
• Desire for better co-ordination of health and social care,
  and improved health outcomes
• Five integrated health and social care teams with a single
  manager and linked to general practices
• Shared records, single assessment process
• Proactive risk profiling of population and care management
• Some evidence of reduction in emergency admissions to
  acute care by older people
                                                               © Nuffield Trust
Community Care North Carolina (Rosen et al, 2011)
• A network of independent practices, working together to
  deliver integrated care via Medicaid programme
• Aims are: better access to primary care; chronic disease
  management; evidence-based care co-ordination; and
  reduced care fragmentation
• Based on the idea of the medical or primary care home
• Run across 14 regional networks
• Disease management programme, care
  management, integrated electronic record system
• Local physician and manager lead each multidisciplinary
  network team
                                                             © Nuffield Trust
New Zealand integrated health networks (Thorlby et al, 2012)
• Have grown out of general practice (IPAs – similar to
  multifunds) and community networks that have existed
  since the early 1990s
• Now represent extensive primary care infrastructure and
  management support across the country
• Given new life by a government policy of Better Sooner
  More Convenient, and a need for radically new forms of
  care
• Moving towards an integrated health/social care approach
• Working in „alliances‟ and experimenting with new forms of
  contracting and risk-sharing
                                                               © Nuffield Trust
Accountable care organisations for the NHS
• Draw on the Fisher et al (2007) concept of the ACO where
  a group of health care providers take on financial and
  health outcome risk
• A capitated budget for some or all health needs of a
  population
• Explored in Nuffield and NHS Alliance work as a „local
  clinical partnership‟ (Smith et al, 2009) or an integrated
  care organisation (Lewis et al, 2010)
• Examples now of integrated provider organisations forming
  in the NHS – Smethwick, Surrey, NW London, Vitality
  (Birmingham)
• South Auckland setting up local community partnerships       © Nuffield Trust
Common themes
•   Trying to set an organisational context within which providers
    can deliver care that „imposes the patient‟s perspective‟
•   Some are about new organisational arrangements, others
    about a mix of new integrative processes
•   A burning platform is often present, such as health economy
    sustainability or workforce shortages
•   All are concerned with a new approach to care
    management, risk, budget holding and accountability for
    outcomes – partnership working with „grunt‟


                                                                     © Nuffield Trust
Where does this sit in the current policy context?

 Beyond commissioning?
 • Policy for NHS very focused on addressing „weak‟
   commissioning
 • Belief in clinically-led commissioning – CCGs
 • But research evidence points to limits of such
   commissioning, especially re „big ticket‟ items & acute care
 • Such commissioners nearly always end up focusing on
   development of service provision
 • Is it time to think more about clinically-led provider
   networks that are more like an ACO?


                                                                  © Nuffield Trust
Possible scenarios
• Group of practices take on a capitated budget and
  provide what they can, and commission the rest
• Group of practices together with local hospital (and
  community services?) take on a budget for a range of local
  services, e.g. urgent care, older people‟s care, children‟s
  care
• Group of practices, social services, and community
  health services form a network or organisation to hold
  budget and commission/provide care for specific groups
• Accountable lead provider where contract is held for a
  wider service, subcontracted by the lead provider
                                                                © Nuffield Trust
Policy considerations (Ham, Smith and Eastmure, 2011)
• Likely to need flexibilities re payment regime – capitated
  approach, bundled payments for care pathways
• Needs careful crafting of governance of actual or
  perceived conflicts of interest
• A range of organisational and legal forms might apply, and
  perhaps several for a single area/network
• And a significant degree of skilled and sustained
  leadership to enable the trust and maturity entailed
• Needs an outcomes-based approach to performance
  assessment

                                                               © Nuffield Trust
Is integrated care an idea whose time has come?

• Trying to develop better care, with the user perspective as
  predominant, is a long-standing and vital priority
• What distinguishes this time period is the economic context
• Not to change is not an option
• The challenge is not so much about what sort of
  organisation is used, but what processes need to be
  developed to enable more integrated care
• We need to try these ideas out at scale, and carry out
  carefully constructed evaluation to build an evidence base


                                                                © Nuffield Trust
References

Audit Commission and Healthcare Commission (2008) Is the treatment working?
   Progress with the NHS system reform programme. London, Audit Commission

Fisher E et al (2007) Creating accountable care organisations: the extended hospital
   medical staff. Health Affairs, 26, no.1, 44-57

Ham C and Smith J (2010) Removing the policy barriers to integrated care in England.
   London, the Nuffield Trust

Ham C, Smith J and Eastmure E (2011) Commissioning integrated care in a liberated
   NHS. London, the Nuffield Trust

Lewis R, Rosen R, Goodwin N and Dixon J (2010) Where next for integrated care
   organisations in the NHS in England? London, the Nuffield Trust and the King‟s
   Fund

Lloyd J and Wait S (2005) Integrated care: a guide for policymakers. London: Alliance
                                                                                        © Nuffield Trust
   for Health and the Future
References

 Rosen R et al (2011) Integration in action: four international case studies.
   London, the Nuffield Trust
 Shaw S, Rosen R and Rumbold B (2011) What is integrated care? London, the
   Nuffield Trust
 Smith J, Wood J and Elias J (2009) Beyond practice-based commissioning: the
   local clinical partnership. London, the NHS Alliance and the Nuffield Trust
 Thorlby R, Smith J, Barnett P and Mays N (2012) Independent practitioner
   associations in New Zealand: surviving to thrive? London, the Nuffield Trust




                                                                                  © Nuffield Trust
www.nuffieldtrust.org.uk


        Sign-up for our newsletter
        www.nuffieldtrust.org.uk/newsletter


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June 2011                                     © Nuffield Trust
Predictive risk modelling




Dr. Martin Bardsley
Head of Research
Nuffield Trust
                            © Nuffield Trust
Uses of predictive risk techniques




Predictive modelling aims to identify people at risk of future event
                                                             © Nuffield Trust
Introduction of predictive modelling to UK

• Debate following BMJ paper in
  2002 that showed Kaiser
  Permanente in California seemed
  to provide higher quality
  healthcare than the NHS at lower
  cost.


• Kaiser identify high risk people in
  their population and manage
                                        Getting more for their dollar: a comparison of the
  them intensively to avoid             NHS with California's Kaiser Permanente BMJ
                                        2002;324:135-143
  admissions
                                        Can the NHS learn from US managed care
                                        organisations? BMJ 2004;328:223-225

                                                                                © Nuffield Trust
Uneven distribution of health care resources


                            The proportion of total costs spent
                            on patients by category of annual
                            costs (area of shape) with the
                            proportion of all patients in annual
                            cost band (dots)

                            Around 3% of patients are
                            responsible for nearly half the
                            total patient costs




                                                              © Nuffield Trust
To prevent, we need to predict who will high costs in who in the
   future


                                                      It‟s not the people
emergency bed days




                                                      who are current
Average number of




                                                      intensive users
                     Predictive
                     models try to
                     identify
                     people here




                                                                      © Nuffield Trust
Population wide risk modelling

•   Patterns in routine data identify
    high-risk people next year
•   Use pseudonymous, person-level
    data


•   Relies on exploiting existing
    information:
+ve: systematic; not costly data
collections; fit into existing systems;
applied at population level

-ve: information collected may not be
predictive; data lags

                                          © Nuffield Trust

•   .
Predictive modelling is only as effective as the intervention it
 is used to trigger

                                               •   Case Management
Top 0.5%

0.5 – 5.0%                                     •   Intensive Disease
                                                   Management
6 - 20%
                                               •   Less Intensive Disease
                                                   Management
21 –
100%                                           •   Wellness Programmes




Providers need to know potential costs of the outcome to
build business case for intervention
                                                                            © Nuffield Trust
How does predictive risk
modelling work?




07 November 2012           © Nuffield Trust
Protecting individuals’ identities




                                     © Nuffield Trust
Developing a predictive risk model




                                     © Nuffield Trust
Developing a predictive risk model




                                     © Nuffield Trust
Describing a model’s performance

Example: Take 100 people over one year…

7 people have an emergency hospital admission

93 do not




                                                © Nuffield Trust
Describing a model’s performance


                             At the start of the year, no
                             one knows who‟s who




 A predictive risk
   model tries to
       sort it out
                                                      © Nuffield Trust
Can improve PPV by focusing on highest risk


Positive predictive value –
PPV (number of predictions
that are correct) = 66%

Sensitivity (number of
actual cases predicted) =
29%

Trade offs: PPV up but
sensitivity down
                                              © Nuffield Trust
Estimating potential savings from avoided events?


Savings are linked to cost of
intervention and its effectiveness
                                                                     £1,400
Example:
• Average costs of readmission for high                              £1,200



                                          Mean cost of readmission
risk patients are ~£1000
                                                                     £1,000

• Intervention reduces readmission by                                 £800
10%
                                                                      £600
• Then intervention has to cost less                                  £400
than £100 per person to save money
                                                                      £200

                                                                        £0
                                                                              Risk score
                                                                                           © Nuffield Trust
A predictive risk tool has different elements


•The model


 •The software


 •The data


  •The application....
                                                © Nuffield Trust
A predictive risk tool: PARR

• In 2006, the Department of
  Health (DH) invested in two                            Hospital provides SUS
  predictive models (or „risk
  stratification tools‟) for the NHS
  in England.
• PARR widely used by PCTs             PCT runs PARR++

  (because software was free
  and SUS data only)
                                                             Patients selected for
                                                             intervention (via GP)
• Predicts readmission in next
  year – PPV 65%
• Designed to be run by PCTs
  periodically, requires up-to-
                                                                                 © Nuffield Trust
  date diagnostic codes
Range of case finding models available

     SPARRA                       PARR (++)
     SPARRA MD                    Combined Predictive Model
     PRISM                        PEONY
     AHI Risk adjuster            LACE
     ACGs (John Hopkins)          MARA (Milliman Advanced Risk
                                  Adjuster)
     DxCGs (Verisk)               Dr Foster Intelligence High Intensity
                                  Users Model
     PARR30                       QResearch models eg QD score
     SCOPE                        RISC (United Health Group)

     Variants on basic admission/readmission predictions:

     Short term readmissions          Social care costs
                                                                          © Nuffield Trust
     Condition specific tools
NE LONDON Risk profiling for integrated
care: Selecting the cohort

                        Identify top 1%
                         risk segment –          Modelling
                       4239 in Redbridge       indicates that
                                              90% of these will
                                                have one or
                                                 more LTC
                                   Reviewed by
                                 Integrated Care
                                team – accepted
                                    if suitable




     These people accepted into Integrated Care will then be discussed
     by the team and a care plan will be developed across both health
                              and social care
SOUTH CENTRAL: Case Management (2)                                                            South Central
                                                                                   Primary Care Trust Alliance
________________________________________________________________________________________________

    Risk Stratification          Disease
                                 Profiling


       Resource
                          ACGs




                                   Case
                                              Case Finding for Patient Education Activities
       Management                Management




 The Isle of Wight is piloting an innovative project that is directed at people with certain LTCs
  who are at an earlier stage of their disease and sit lower down in the risk pyramid

 Their „Café Clinic‟ project is targeting patients in the moderate to high (rather than the very
  high) risk categories who have two or more long term conditions

 The objective of the project is to introduce these people to members of the multi-disciplinary
  team and members of the voluntary sector who can support them in the management of their
  disease

 It is hoped that earlier intervention in the management of these patients and education of
  them and their carers will help maintain health status and reduce unnecessary emergency
  admissions

 The ACG system has been used to identify cohorts of people to attend these clinics.
  Feedback after the first clinics was that all of the patients the tool had identified were suitable
  for this new type of service


                                                                                                         42
Virtual Wards

 Virtual Ward = Predictive Modelling + Multi-disciplinary Case-Management
                                                (Hospital at Home)




Virtual Wards and the NHS Devon Experience

Paul Lovell and Todd Chenore
Monthly Devon                               Very High and High-Risk
                                                      Predictive Model                                Patients Identified


Virtual Ward                                      Primary Care and
                                                 Complex Care Team                            Monthly DPM report and VW
                                                   Joint Meetings                                 Bed-state reviews



                                                              Admit to
                                                      Virtual Ward


                                                        PATIENT

                                                                                  Charities
                                     Housing
                                                                                 (3rd sector)
                                   ACS                                                   Voluntary
                                  Social                    Case                         Services
                                  Worker                                                   Rep
                                                           Manager                                                  Virtual Ward Staff
     Daily interactions within                                                            Mental
 team, Regular VW Ward Rounds     ACS OT                                                  Health                         CCT and
and Reviews ( Weekly Core Group                                                          CRT OT
                                                                                                                      Primary Care
                                    ACS
             Meetings)              CCW                                              CRT
                                    Communi                                         Physio
                                    ty Matron                                     CRT
                                           District                              Nurse
                                           Nurses                         Practice
                                                         CCT              Nurses
                                                      Co-ordinator GP
                                                      (VW Ward Clerk)




                                                               COPD

                                                                                                        Exacerbation
                                                           Community
                                                            Specialist                                   Pathways
                                                          Nurse Service

                                                             Consultant
                                                              Outreach

                                                            Out-patient
                                                             Review

                                                               Ward
                                                            Assessment


                                                               Acute
                                                             Admission
Devon-Wide Roll-out
        Stage 2 - Exert Control on high-risk Group (2011/12)
           Year 2 CQUIN LES Funded
           Payment to practices by % Bed-state (of bed number limit)
           Sign up to Combined Predictive Model
           Identify target patients and assign a case-manager (Read Code)
           Produce Out of Hours Special Message- active on DDOC Adastra
           Full payment- 85% High /Very High Risk and 80% Occupancy over the
        year

 Devon (Combined)                                             3-4 Months Input LTC Self-
Predictive Model 85%                                   Management, Education, Social etc (75-80%)

                                 Virtual Ward
            Direct Referral                              Prolonged Admission
                 15%                                     12-18 months (20-25%)
Risk Stratification (2)                                                                                    South Central
                                                                                         Primary Care Trust Alliance
________________________________________________________________________________________________

• There is often significant variation in case mix between practices across a CCG
• This is either confirming or challenging views about variation in case mix or dependency
  between practices




                           Very High   High   Moderate   Low     Healthy   Non Users




                                                               • This analysis replicates a piece of work
                                                                 undertaken by the Scottish School of
                                                                 Public Heath that demonstrated that
                                                                 multi-morbidity is common in Scotland
                                                               • The patterns in this population in South
                                                                 Central are very similar

                                                                                             Risk                 Disease
                                                                                          Stratification          Profiling

                                                                                                           ACGs




                                                                                          Resource                  Case
                                                                                          Management              Managemen
                                                                                                                       t      46
Using the data available




                           © Nuffield Trust
Testing for gaps in care




                           © Nuffield Trust
Disease specific studies
COPD in NE London
 • Defining quality “Risk factors” – NICE Quality Standards
   for COPD

 • Measuring Quality= Health Analytics data extraction
   system installed in each surgery

 • Education programme at multiple levels – offering
   support where needed and wanted

 • Empowering patients
Identification of Interventions

 Establish and monitor a set of 7 core
 areas for patient care, within primary care.

 1) Post bronchodilator spirometry
 2) Severity Measurement
 3) Annual review
 4) Smoking cessation
 5) Pulmonary rehabilitation
 6) Self management plan
 7) Palliative care

       The Health Analytics tool, identified a 10 fold baseline
       variation between practices on many quality measures
Impact on COPD Admissions
1200
                                                                                                                                                                                                                                                                           Number of
                                                                                                                                                                                                                                                                           patients not
                                                                                                                                                                                                                                                                           diagnosed with
                                                                                                                                                                                                                                                                           COPD by
                                                                                                                                                                                                                                                                           GP, having a
                                                                                                                                                                                                                                                                           COPD related IP
                                                                                                                                                                                                                                                                           admission (any
                                                                                                                                                                                                                                                                           type) in the last
                                                                                                                                                                                                                 681 690 684                                               12 months
                                                                                                                                                 658 656 657 647
                                                                                                                                         641 651                                                                                                  646
                                                                                                                             610                                                                                                                                           Number of
                                                                                                                                                                                                                                                               599
 600                                                                                                            584                                                                                                                                                        patients not
                                                                                                    561
                                                                             540 545                                                                                                                                                                                       diagnosed with
                                                                519                                                                                                                                                                                                        COPD by
                                                    499
       479                 479                                                                                                                                                                                                                                             GP, having a
                   461 470                                                                                                                                                                                                                                                 COPD related IP
                                                                                                                                                                                                                                                                           admission (any
                                                                                                                                                                                                                                                                           type) in the last
                                                                                                                                                                                                                                                                           12 months
                                                                                                                                                                                                                                                                           Total number of
                                                                                                                                                                                                                                                                           COPD related IP
         479 453 632 608 562 534 483 464 664 623 618 617 604 583 562 543 528 514 503 412 398 393                                                                                                                                                                           admissions (any
 300                                                                                                                                                                                                                                                                       type) in the last
                                                                                                                                                                                                                                                                           12 months
        1/1/2010

                   1/3/2010

                              1/4/2010

                                         1/6/2010

                                                     1/9/2010

                                                                 1/11/2010

                                                                             31/1/2011

                                                                                         1/3/2011

                                                                                                     1/4/2011

                                                                                                                 16/6/2011

                                                                                                                              2/7/2011

                                                                                                                                         4/8/2011

                                                                                                                                                    1/9/2011

                                                                                                                                                               8/10/2011




                                                                                                                                                                                                     21/1/2012

                                                                                                                                                                                                                 1/2/2012

                                                                                                                                                                                                                            3/3/2012

                                                                                                                                                                                                                                       8/4/2012

                                                                                                                                                                                                                                                   19/5/2012

                                                                                                                                                                                                                                                                9/6/2012
                                                                                                                                                                           19/11/2011

                                                                                                                                                                                        11/12/2011


   COPD admissions showing sub analysis by patients
   known and not known to GP with a diagnosis of COPD
   within : Barking and Dagenham
Summary

• Predictive modelling is a practical case finding tool for identifying
  high risk patients
• Growing market for predictive models – extending beyond simple
  annual predictions of readmissions
• Technical details of model performance is important – but so how is
  the way the model is implemented
• Range of ways these models can be put into practice



http://www.nuffieldtrust.org.uk/our-work/predictive-risk

                                                                          © Nuffield Trust
www.nuffieldtrust.org.uk


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07 November 2012                                    © Nuffield Trust

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Judith martin east cheshireic 7nov2012 v2

  • 1. National and international integrated care projects Dr Judith Smith Head of Policy Nuffield Trust East Cheshire Integrated Care Programme 7 November 2012 © Nuffield Trust
  • 2. Agenda •Why does integrated care matter? •What exactly is integrated care? •On what examples can we draw? • Where does this sit within the current policy context? •Is integrated care an idea whose time has come? © Nuffield Trust
  • 3. Why does integrated care matter? • Rising levels of chronic disease • Ageing population • Increasing levels of hospital admissions and readmissions, especially among the elderly and vulnerable, and children • Economic hard times, and unsustainable health and social care economies • And too often we still do not get it right in terms of care co- ordination, care planning, communication with families • Somehow, care for frail people with complex needs is not the pressing priority it needs to be within our health systems © Nuffield Trust
  • 5. Policy desire for ‘transformation’ • We keep asserting a desire for care that is more community-based and less hospital-focused • Expressed in various ways: Primary care-led NHS; Our Health, Our Care, Our Say; Transforming Community Services; Nothing about me without me; etc • Other countries in a similar place: Australia, Canada, New Zealand, Netherlands, USA... • But we have largely failed to achieve the policy intent in England, as the acute sector has grown, and activity there has risen (Audit Commission and Healthcare Commission, 2008) © Nuffield Trust
  • 6. What exactly is integrated care? © Nuffield Trust
  • 7. A definition of integrated care: „Achieving integrated care requires those involved with planning and providing services “to impose the patient perspective as the organising principle of service delivery” [Lloyd and Wait, 2005, p7]‟ (Shaw et al, 2011, p7) © Nuffield Trust
  • 8. Mrs Smith, Mrs Jones... it is the individual‟s experience that matters © Nuffield Trust © Age Concern Picture Library
  • 9. The term ‘integration’ can be a problem • „The act of combining or adding parts to make a unified whole‟ (Collins English Dictionary) • Raises antibodies about consolidation, centralisation, incorporation, amalgamation, assimilation, merger... • And this has certainly been the case in a context of reforms focused on markets and localism • We need first of all to understand what is fragmented – what needs to be integrated, from a patient‟s perspective? • And perhaps we should focus more on „integrative processes‟ rather than integration per se? © Nuffield Trust
  • 10. Integrative processes © Nuffield Trust Source: Rosen et al (2011)
  • 11. On what examples can we draw? Torbay Care Trust (Ham and Smith, 2010) • Care trust established in 2005 • Desire for better co-ordination of health and social care, and improved health outcomes • Five integrated health and social care teams with a single manager and linked to general practices • Shared records, single assessment process • Proactive risk profiling of population and care management • Some evidence of reduction in emergency admissions to acute care by older people © Nuffield Trust
  • 12. Community Care North Carolina (Rosen et al, 2011) • A network of independent practices, working together to deliver integrated care via Medicaid programme • Aims are: better access to primary care; chronic disease management; evidence-based care co-ordination; and reduced care fragmentation • Based on the idea of the medical or primary care home • Run across 14 regional networks • Disease management programme, care management, integrated electronic record system • Local physician and manager lead each multidisciplinary network team © Nuffield Trust
  • 13. New Zealand integrated health networks (Thorlby et al, 2012) • Have grown out of general practice (IPAs – similar to multifunds) and community networks that have existed since the early 1990s • Now represent extensive primary care infrastructure and management support across the country • Given new life by a government policy of Better Sooner More Convenient, and a need for radically new forms of care • Moving towards an integrated health/social care approach • Working in „alliances‟ and experimenting with new forms of contracting and risk-sharing © Nuffield Trust
  • 14. Accountable care organisations for the NHS • Draw on the Fisher et al (2007) concept of the ACO where a group of health care providers take on financial and health outcome risk • A capitated budget for some or all health needs of a population • Explored in Nuffield and NHS Alliance work as a „local clinical partnership‟ (Smith et al, 2009) or an integrated care organisation (Lewis et al, 2010) • Examples now of integrated provider organisations forming in the NHS – Smethwick, Surrey, NW London, Vitality (Birmingham) • South Auckland setting up local community partnerships © Nuffield Trust
  • 15. Common themes • Trying to set an organisational context within which providers can deliver care that „imposes the patient‟s perspective‟ • Some are about new organisational arrangements, others about a mix of new integrative processes • A burning platform is often present, such as health economy sustainability or workforce shortages • All are concerned with a new approach to care management, risk, budget holding and accountability for outcomes – partnership working with „grunt‟ © Nuffield Trust
  • 16. Where does this sit in the current policy context? Beyond commissioning? • Policy for NHS very focused on addressing „weak‟ commissioning • Belief in clinically-led commissioning – CCGs • But research evidence points to limits of such commissioning, especially re „big ticket‟ items & acute care • Such commissioners nearly always end up focusing on development of service provision • Is it time to think more about clinically-led provider networks that are more like an ACO? © Nuffield Trust
  • 17. Possible scenarios • Group of practices take on a capitated budget and provide what they can, and commission the rest • Group of practices together with local hospital (and community services?) take on a budget for a range of local services, e.g. urgent care, older people‟s care, children‟s care • Group of practices, social services, and community health services form a network or organisation to hold budget and commission/provide care for specific groups • Accountable lead provider where contract is held for a wider service, subcontracted by the lead provider © Nuffield Trust
  • 18. Policy considerations (Ham, Smith and Eastmure, 2011) • Likely to need flexibilities re payment regime – capitated approach, bundled payments for care pathways • Needs careful crafting of governance of actual or perceived conflicts of interest • A range of organisational and legal forms might apply, and perhaps several for a single area/network • And a significant degree of skilled and sustained leadership to enable the trust and maturity entailed • Needs an outcomes-based approach to performance assessment © Nuffield Trust
  • 19. Is integrated care an idea whose time has come? • Trying to develop better care, with the user perspective as predominant, is a long-standing and vital priority • What distinguishes this time period is the economic context • Not to change is not an option • The challenge is not so much about what sort of organisation is used, but what processes need to be developed to enable more integrated care • We need to try these ideas out at scale, and carry out carefully constructed evaluation to build an evidence base © Nuffield Trust
  • 20. References Audit Commission and Healthcare Commission (2008) Is the treatment working? Progress with the NHS system reform programme. London, Audit Commission Fisher E et al (2007) Creating accountable care organisations: the extended hospital medical staff. Health Affairs, 26, no.1, 44-57 Ham C and Smith J (2010) Removing the policy barriers to integrated care in England. London, the Nuffield Trust Ham C, Smith J and Eastmure E (2011) Commissioning integrated care in a liberated NHS. London, the Nuffield Trust Lewis R, Rosen R, Goodwin N and Dixon J (2010) Where next for integrated care organisations in the NHS in England? London, the Nuffield Trust and the King‟s Fund Lloyd J and Wait S (2005) Integrated care: a guide for policymakers. London: Alliance © Nuffield Trust for Health and the Future
  • 21. References Rosen R et al (2011) Integration in action: four international case studies. London, the Nuffield Trust Shaw S, Rosen R and Rumbold B (2011) What is integrated care? London, the Nuffield Trust Smith J, Wood J and Elias J (2009) Beyond practice-based commissioning: the local clinical partnership. London, the NHS Alliance and the Nuffield Trust Thorlby R, Smith J, Barnett P and Mays N (2012) Independent practitioner associations in New Zealand: surviving to thrive? London, the Nuffield Trust © Nuffield Trust
  • 22. www.nuffieldtrust.org.uk Sign-up for our newsletter www.nuffieldtrust.org.uk/newsletter Follow us on Twitter (http://twitter.com/NuffieldTrust) June 2011 © Nuffield Trust
  • 23. Predictive risk modelling Dr. Martin Bardsley Head of Research Nuffield Trust © Nuffield Trust
  • 24. Uses of predictive risk techniques Predictive modelling aims to identify people at risk of future event © Nuffield Trust
  • 25. Introduction of predictive modelling to UK • Debate following BMJ paper in 2002 that showed Kaiser Permanente in California seemed to provide higher quality healthcare than the NHS at lower cost. • Kaiser identify high risk people in their population and manage Getting more for their dollar: a comparison of the them intensively to avoid NHS with California's Kaiser Permanente BMJ 2002;324:135-143 admissions Can the NHS learn from US managed care organisations? BMJ 2004;328:223-225 © Nuffield Trust
  • 26. Uneven distribution of health care resources The proportion of total costs spent on patients by category of annual costs (area of shape) with the proportion of all patients in annual cost band (dots) Around 3% of patients are responsible for nearly half the total patient costs © Nuffield Trust
  • 27. To prevent, we need to predict who will high costs in who in the future It‟s not the people emergency bed days who are current Average number of intensive users Predictive models try to identify people here © Nuffield Trust
  • 28. Population wide risk modelling • Patterns in routine data identify high-risk people next year • Use pseudonymous, person-level data • Relies on exploiting existing information: +ve: systematic; not costly data collections; fit into existing systems; applied at population level -ve: information collected may not be predictive; data lags © Nuffield Trust • .
  • 29. Predictive modelling is only as effective as the intervention it is used to trigger • Case Management Top 0.5% 0.5 – 5.0% • Intensive Disease Management 6 - 20% • Less Intensive Disease Management 21 – 100% • Wellness Programmes Providers need to know potential costs of the outcome to build business case for intervention © Nuffield Trust
  • 30. How does predictive risk modelling work? 07 November 2012 © Nuffield Trust
  • 32. Developing a predictive risk model © Nuffield Trust
  • 33. Developing a predictive risk model © Nuffield Trust
  • 34. Describing a model’s performance Example: Take 100 people over one year… 7 people have an emergency hospital admission 93 do not © Nuffield Trust
  • 35. Describing a model’s performance At the start of the year, no one knows who‟s who A predictive risk model tries to sort it out © Nuffield Trust
  • 36. Can improve PPV by focusing on highest risk Positive predictive value – PPV (number of predictions that are correct) = 66% Sensitivity (number of actual cases predicted) = 29% Trade offs: PPV up but sensitivity down © Nuffield Trust
  • 37. Estimating potential savings from avoided events? Savings are linked to cost of intervention and its effectiveness £1,400 Example: • Average costs of readmission for high £1,200 Mean cost of readmission risk patients are ~£1000 £1,000 • Intervention reduces readmission by £800 10% £600 • Then intervention has to cost less £400 than £100 per person to save money £200 £0 Risk score © Nuffield Trust
  • 38. A predictive risk tool has different elements •The model •The software •The data •The application.... © Nuffield Trust
  • 39. A predictive risk tool: PARR • In 2006, the Department of Health (DH) invested in two Hospital provides SUS predictive models (or „risk stratification tools‟) for the NHS in England. • PARR widely used by PCTs PCT runs PARR++ (because software was free and SUS data only) Patients selected for intervention (via GP) • Predicts readmission in next year – PPV 65% • Designed to be run by PCTs periodically, requires up-to- © Nuffield Trust date diagnostic codes
  • 40. Range of case finding models available SPARRA PARR (++) SPARRA MD Combined Predictive Model PRISM PEONY AHI Risk adjuster LACE ACGs (John Hopkins) MARA (Milliman Advanced Risk Adjuster) DxCGs (Verisk) Dr Foster Intelligence High Intensity Users Model PARR30 QResearch models eg QD score SCOPE RISC (United Health Group) Variants on basic admission/readmission predictions: Short term readmissions Social care costs © Nuffield Trust Condition specific tools
  • 41. NE LONDON Risk profiling for integrated care: Selecting the cohort Identify top 1% risk segment – Modelling 4239 in Redbridge indicates that 90% of these will have one or more LTC Reviewed by Integrated Care team – accepted if suitable These people accepted into Integrated Care will then be discussed by the team and a care plan will be developed across both health and social care
  • 42. SOUTH CENTRAL: Case Management (2) South Central Primary Care Trust Alliance ________________________________________________________________________________________________ Risk Stratification Disease Profiling Resource ACGs Case Case Finding for Patient Education Activities Management Management  The Isle of Wight is piloting an innovative project that is directed at people with certain LTCs who are at an earlier stage of their disease and sit lower down in the risk pyramid  Their „Café Clinic‟ project is targeting patients in the moderate to high (rather than the very high) risk categories who have two or more long term conditions  The objective of the project is to introduce these people to members of the multi-disciplinary team and members of the voluntary sector who can support them in the management of their disease  It is hoped that earlier intervention in the management of these patients and education of them and their carers will help maintain health status and reduce unnecessary emergency admissions  The ACG system has been used to identify cohorts of people to attend these clinics. Feedback after the first clinics was that all of the patients the tool had identified were suitable for this new type of service 42
  • 43. Virtual Wards Virtual Ward = Predictive Modelling + Multi-disciplinary Case-Management (Hospital at Home) Virtual Wards and the NHS Devon Experience Paul Lovell and Todd Chenore
  • 44. Monthly Devon Very High and High-Risk Predictive Model Patients Identified Virtual Ward Primary Care and Complex Care Team Monthly DPM report and VW Joint Meetings Bed-state reviews Admit to Virtual Ward PATIENT Charities Housing (3rd sector) ACS Voluntary Social Case Services Worker Rep Manager Virtual Ward Staff Daily interactions within Mental team, Regular VW Ward Rounds ACS OT Health CCT and and Reviews ( Weekly Core Group CRT OT Primary Care ACS Meetings) CCW CRT Communi Physio ty Matron CRT District Nurse Nurses Practice CCT Nurses Co-ordinator GP (VW Ward Clerk) COPD Exacerbation Community Specialist Pathways Nurse Service Consultant Outreach Out-patient Review Ward Assessment Acute Admission
  • 45. Devon-Wide Roll-out Stage 2 - Exert Control on high-risk Group (2011/12) Year 2 CQUIN LES Funded Payment to practices by % Bed-state (of bed number limit) Sign up to Combined Predictive Model Identify target patients and assign a case-manager (Read Code) Produce Out of Hours Special Message- active on DDOC Adastra Full payment- 85% High /Very High Risk and 80% Occupancy over the year Devon (Combined) 3-4 Months Input LTC Self- Predictive Model 85% Management, Education, Social etc (75-80%) Virtual Ward Direct Referral Prolonged Admission 15% 12-18 months (20-25%)
  • 46. Risk Stratification (2) South Central Primary Care Trust Alliance ________________________________________________________________________________________________ • There is often significant variation in case mix between practices across a CCG • This is either confirming or challenging views about variation in case mix or dependency between practices Very High High Moderate Low Healthy Non Users • This analysis replicates a piece of work undertaken by the Scottish School of Public Heath that demonstrated that multi-morbidity is common in Scotland • The patterns in this population in South Central are very similar Risk Disease Stratification Profiling ACGs Resource Case Management Managemen t 46
  • 47. Using the data available © Nuffield Trust
  • 48. Testing for gaps in care © Nuffield Trust
  • 49. Disease specific studies COPD in NE London • Defining quality “Risk factors” – NICE Quality Standards for COPD • Measuring Quality= Health Analytics data extraction system installed in each surgery • Education programme at multiple levels – offering support where needed and wanted • Empowering patients
  • 50. Identification of Interventions Establish and monitor a set of 7 core areas for patient care, within primary care. 1) Post bronchodilator spirometry 2) Severity Measurement 3) Annual review 4) Smoking cessation 5) Pulmonary rehabilitation 6) Self management plan 7) Palliative care The Health Analytics tool, identified a 10 fold baseline variation between practices on many quality measures
  • 51. Impact on COPD Admissions 1200 Number of patients not diagnosed with COPD by GP, having a COPD related IP admission (any type) in the last 681 690 684 12 months 658 656 657 647 641 651 646 610 Number of 599 600 584 patients not 561 540 545 diagnosed with 519 COPD by 499 479 479 GP, having a 461 470 COPD related IP admission (any type) in the last 12 months Total number of COPD related IP 479 453 632 608 562 534 483 464 664 623 618 617 604 583 562 543 528 514 503 412 398 393 admissions (any 300 type) in the last 12 months 1/1/2010 1/3/2010 1/4/2010 1/6/2010 1/9/2010 1/11/2010 31/1/2011 1/3/2011 1/4/2011 16/6/2011 2/7/2011 4/8/2011 1/9/2011 8/10/2011 21/1/2012 1/2/2012 3/3/2012 8/4/2012 19/5/2012 9/6/2012 19/11/2011 11/12/2011 COPD admissions showing sub analysis by patients known and not known to GP with a diagnosis of COPD within : Barking and Dagenham
  • 52. Summary • Predictive modelling is a practical case finding tool for identifying high risk patients • Growing market for predictive models – extending beyond simple annual predictions of readmissions • Technical details of model performance is important – but so how is the way the model is implemented • Range of ways these models can be put into practice http://www.nuffieldtrust.org.uk/our-work/predictive-risk © Nuffield Trust
  • 53. www.nuffieldtrust.org.uk Sign-up for our newsletter www.nuffieldtrust.org.uk/newsletter Follow us on Twitter: Twitter.com/NuffieldTrust • Insert presenter‟s email address here 07 November 2012 © Nuffield Trust

Editor's Notes

  1. People are well aware of the need to make large scale savings – much discussed in general termsBut missing from much of hte the discussion about service developmentsIs this just becasue we haven’t been in the right meetingsQIPP – tool for bringing discussions of money to the fore – but can be a the expense of discussions of quality (see example of Calderdale diabetes services – need to prove changes are ‘Qippable’)
  2. Overview of the collaboration of project partners, financing and aim of the project. How the position of the HIEC helped to deliver partnership solutions for ARTP spirometry course, Health Foundation Shine award.