Key points

  • This report will help those who want to use networks as a mechanism for change, and guide improvement leaders to ensure their networks are designed and run in line with what works best.
  • It presents the lessons from an evidence review and case study work undertaken by McKinsey Hospital Institute.
  • While the review found no ‘one size fits all’ formula for successful network design, it did identify five core features of effective networks.

This learning report presents the lessons from an evidence review and case study work undertaken by McKinsey Hospital Institute.

The review drew on the literature and empirical evidence about effective networks to describe the component parts of a successful improvement network.

While the review found no ‘one size fits all’ formula for successful network design, it did identify five core features of effective networks. These are:

  • common purpose
  • cooperative structure
  • critical mass
  • collective intelligence
  • community building.

 

 

These features are interdependent, and interact to give a network energy and momentum. They ensure a clear direction, credibility and increased scale and reach, while enhancing knowledge, encouraging innovation and creating meaningful relationships. All five features are mutually reinforcing, and their combined effect enables quality improvement, learning and change to happen.

 

Download a framework for developing a network

Further reading

Learning report

Leading networks in healthcare

January 2013
Learning report

Learnings from a 2011 Health Foundation improvement programme to support networks in health care.

You might also like...

Blog

Five recommendations for strengthening NHS management and leadership

Blog

With the Messenger review nearing publication, we draw on our recent research – including interviews...

Event

Webinar: Speeding up NHS service transformation – how can we do better?

Event

In this webinar we were joined by Dr Tim Ferris, NHS England’s Director of Transformation, to...

Watch video

Journal article

Using a dark logic model to explore adverse effects in audit and feedback

Journal article

Using a dark logic model to explore adverse effects in audit.

Kjell-bubble-diagramArtboard 101 copy

Get social

What are the barriers preventing widespread use of data and data science across the NHS in England? Limited linkin… https://t.co/7vjSmQ6Xz0

Follow us on Twitter
Kjell-bubble-diagramArtboard 101

Work with us

We look for talented and passionate individuals as everyone at the Health Foundation has an important role to play.

View current vacancies
Artboard 101 copy 2

The Q community

Q is an initiative connecting people with improvement expertise across the UK.

Find out more