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Using data for planning and funding Hutt Valley DHB NGO Information development workshop

Using data for planning and funding Hutt Valley DHB NGO Information development workshop. Michelle van der Raaij Service Analyst Planning & Funding May 2012. Our purpose. We got into this to help people. The big questions. Are we really helping people?

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Using data for planning and funding Hutt Valley DHB NGO Information development workshop

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  1. Using data for planning and funding Hutt Valley DHB NGO Information development workshop Michelle van der Raaij Service Analyst Planning & Funding May 2012

  2. Our purpose We got into this to help people

  3. The big questions Are we really helping people? How do we know we are doing a good job?

  4. The big questions How do we know we are doing a good job? Are we really helping people? Planning: have we got the right services to meet people’s needs? Funding: Have we got the best out of our resources? Management: Is all our effort making a difference?

  5. The data helps us answer the big questions • Planning • Funding • Contract monitoring • Service management • Service quality

  6. Using data – a journey with our providers • Started collecting client NHI level data in 2008 • Excel spreadsheet templates • Tailoring the data to the kind of service e.g. day service, work rehab, community support, residential • Feeding back the data: regular contract meetings with Providers • Discussion about the story behind the numbers • Supporting service improvement and development

  7. What data do we collect? • Excel spreadsheet templates • NHI (or unique identifier) • Contacts • Contact hours • Beddays used • Work hours • Attendances at group sessions • “Drop-ins” • Outcomes

  8. What data do we collect?Day service template

  9. What data do we collect?Tailoring report for use of management

  10. Using the data for Planning • Mapping services • How many people are using services? • Where are the gaps?

  11. Using the data for Funding • Are the resources being used fully? • Are we getting value for money? • Could more people be seen? • Are all the hours/beds available being used? • Are people getting a good service?

  12. Using the data: setting targets • What have we contracted for? • What is the service model? • FTE = 30 contact hours for 52 weeks or adjust to service model • Available beds – what is the target occupancy? • Length of stay in service - beds

  13. Using the data:Data quality improvement + Service management =more people receive service

  14. Using the data: Adjusting funding to match what is being delivered

  15. Using the data: benchmarking outcomes

  16. Using the data: For regional planning

  17. Using the data: meeting population need

  18. Future plans – using the data • Move to PRIMHD as the main data source • Continue to support providers to use the data • Continue to use data to inform planning & funding • Use data to recognise better service performance • Support development of outcome measures to inform service quality improvement

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