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World Class Commissioning

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World Class Commissioning Partnerships Nicola Benge - Director Health Improvement Population of 440,000 Diverse and vibrant communities 17 wards in Europe s largest ... – PowerPoint PPT presentation

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Title: World Class Commissioning


1
World Class Commissioning
Partnerships

Nicola Benge - Director Health Improvement
2
Good Hope Hospital
  • Population of 440,000
  • Diverse and vibrant communities
  • 17 wards in Europes largest Local Authority
  • 1,700 staff
  • 237 GPs
  • 82 practices
  • Budget circa 0.7b
  • Lead commissioners for mental health, learning
    disabilities, sexual health
  • Host of West Mids Specialised Commissioning team
    - 0.7b

Deprivation Proportion of ward population in the
following deprivation sectors
Sutton Four Oaks
Most deprived Least deprived
Sutton Trinity
Sutton Vesey
Sutton Vesey Pop. 22879
( refers to position in the national listing of
most deprived areas).
Kingstanding
Sutton New Hall
Erdington
Stockland Green
Tyburn
Hodge Hill
Heart of England NHS Foundation Trust
Washwood Heath
Shard End
Bordesley Green
Stechford and Yardley North
South Yardley
Sheldon
Acocks Green
3
A Long Term Vision and Strategy
  • Goals
  • To be so responsive to the
  • population we serve that no one
  • waits for the health care they need
  • That the health and well being of the
  • population will have improved so
  • much that people will enjoy 10 more
  • years of quality life
  • Our communities will be the most
  • involved, informed and empowered
  • in the country
  • That people regard us as the first
  • choice organisation to work
  • with and for

Purpose Working in partnership to tackle
inequalities and improve the health and well
being of local people
4
Organisational Design for World Class Performance
  • PRIME
  • Workforce OD
  • PIPE (Planning, Innovation, Process Excellence)
  • Provider arm development
  • KM IT
  • Director of process Improvement
  • Knowledge management focus
  • Participative processes
  • Lean redesign
  • OD network

OD Strategy
  • Faculty model
  • Attractive to high performers
  • Resilience diversity in team
  • Skills behaviours
  • Expert partners

Processes
People
  • Matrix teams
  • Enhanced director commissioning
  • Capacity
  • Collaboration and integration
  • Review design criteria
  • PRIME
  • KM
  • Trajectories

Structure
Metrics
5
Learning to date Innovation Delivery
  • Tackle inequality profile population, target
    activity, prioritise resources, understand
    preferences, new service designs, screening and
    outreach, signposting
  • WCC in primary care building capacity,
    improving performance,
  • de-commissioning
  • New models of care Based on health inequalities
    and targeting. assertive outreach, telephone
    delivery, group interventions, integrated
    services
  • Maximising digital technology web-based
    communications, remote monitoring, mobile
    communications

6
Performance
  • Local Leadership
  • Collaboration with Clinicians
  • 8 Promoted improvement and innovation

7
Collaborative working and clinical engagement
  • Local Government and Health partnerships
  • Translate into signed up LAA and WCC targets
  • Support to PBC population needs based
  • Pathway engagement

8
An environment for improvement and innovation
  • Clear and consistent strategy
  • Focus on diversity and improvements in health
  • Led from the top
  • Make it easy to do the right thing
  • Creative Stealing
  • Courage
  • Design for Scale

9
Identification of improvement opportunities
  • Use of International evidence
  • Working together for Health
  • Use of LEAN methodologies
  • Patient selection for BoH

10
Collection of Quality and Outcome Information
  • Gateway
  • Evidence base
  • OSCAR Framework
  • Insight
  • Typologies

11
NHS Birmingham East and North population
segmentation
  • An NHS Birmingham East and North specific health
    segmentation is allowing us to gain granular
    insight into our population
  • At an Output Area level we know the
  • Health status and utilisation by group
  • Demographics
  • MOSAIC type
  • Index matrix based on age and ethnicity
  • TGI media preferences
  • We draw on local SUS data, cross-referenced with
    nationally available datasets such as ONS. The
    factors covered include health, ethnicity and
    socio-economic status

12
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