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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 Local Authority 1,700+ staff 237 GPs 82 practices Budget circa £0.7b - PowerPoint PPT Presentation
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World Class Commissioning
Partnerships
Nicola Benge - Director Health Improvement
7000 - 8000
6000 - 7000
5000 - 6000
4000 - 5000
3000 - 4000
2000 - 3000
1000 - 2000 1 - 1000
Sutton VeseyPop. 22879
Sutton VeseyPop. 22879
Sutton Four Oaks
SuttonTrinity
Sutton New Hall
SuttonVesey
Erdington
Kingstanding
StocklandGreen
Tyburn
HodgeHill
WashwoodHeath
Stechford andYardley North
ShardEndBordesley
Green
SouthYardley
AcocksGreen
Sheldon
Good Hope Hospital
Heart of England NHS Foundation Trust
DeprivationProportion of ward population in the following deprivation sectors:
<10%10 - 25%25 - 50%>50%
(% refers to position in the national listing of most deprived areas).
Most deprived
Least deprived
• Population of 440,000
• Diverse and vibrant communities
• 17 wards in Europe’s 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
A Long Term Vision and Strategy
Purpose:Working in partnership to tackle inequalities and improve the health and well being of local people
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
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
•Faculty model
•Attractive to high performers
•Resilience& diversity in team
•Skills & behaviours
•Expert partners
•PRIME
•KM
•Trajectories
•Matrix teams
•Enhanced director & commissioning
•Capacity
•Collaboration and integration
•Review design criteria
OD Strategy
Processes
StructureMetrics
People
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
Performance
1 Local Leadership
4 Collaboration with Clinicians
8 Promoted improvement and innovation
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
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
Identification of improvement opportunities
•Use of International evidence
•Working together for Health
•Use of LEAN methodologies
•Patient selection for BoH
Collection of Quality and Outcome Information
•Gateway
•Evidence base
•OSCAR Framework
•Insight
•Typologies
NHS Birmingham East and North population segmentationNHS 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
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