National Minimum Data Set NMDSSC Sarah Pearce Surrey Care Association Dilys Bayes Independent Provid

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National Minimum Data Set (NMDS-SC) Sarah
Pearce (Surrey Care Association)Dilys Bayes
(Independent Providers Forum)David Cubey
(Skills for Care)
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NMDS-SC

• A single method of collecting workforce
  information about the Social Care sector
• That will provide a workforce planning tool for
  employers.
• That will provide Skills for Care with the
  information to influence strategic planning and
  resource allocation on behalf of employers in the
  social care sector

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What are we learning?

• Why do people leave?
• Where do people go when they leave?

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What are we learning?

• Staff turnover rates
• Achieving IiP reduces turnover by almost 50!
• Qualification levels
• Age and ethnicity profiling

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There are many benefits

• Streamlining the collection of robust data.
• Statistical census point of reference
• Quality data analysis, for the first time
• Identify skills gaps regionally and nationally
• To inform the development of appropriate learning
  strategies for the whole sector
• Reduces cost by enabling better targeting of
  resource
• Provide a factual basis for future needs
  forecasting (skills foresight)
• Improved workforce development planning
• Improved strategic planning for service provision

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Gathering Information

• NMDS-SC Online
• SfC working with SCA and the IPF to support
  employers in Surrey, East and West Sussex,
  Brighton and Hove
• Dedicated Advisors to support employers

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NMDS Facilities
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NMDS outputs

• Obtaining reports
• Typical outputs
• Organisational structure
• Work experience
• Pay
• Training and qualifications

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Possible comparisons

• Establishment information
• Staff turnover
• Pay
• Employee information
• Staff structure
• Why do staff leave?
• Are there other areas of recruitment?

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Employee information
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Pay
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Where do people go?