Developing the use of primary care data

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Developing the use of primary care data

• Dr Azeem Majeed
• University College London

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DH review of primary care data

• Identify potential customers users of primary
  care data
• Identify potential sources of data, including
  strengths weaknesses
• Increase awareness of how data can be used
• Identify options for improving accessibility,
  quality and usefulness of data

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Methods for carrying out review of primary care
data

• Literature review
• Interviews with DH NHS staff
• Advice from academics other experts
• Workshop on primary care data
• Comments on report

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Why is primary care data needed?

• Help clinicians provide care
• Plan health services
• Monitor targets
• Measure clinical performance
• Guide clinical decisions
• Measure health service utilisation
• Health services research epidemiology

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What data are available

• Data collected IN primary care
• Data collected ON primary care

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Sources of primary care data

• PRIMIS MIQUEST
• Primary care databases, e.g., GPRD, IMS Mediplus,
  DIN
• PACT data
• RCGP weekly returns service
• PCG/T disease registers
• Local regional morbidity projects

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Strengths of primary care data

• Population based
• Most contacts with NHS take place in primary care
• Information on morbidity, treatment, outcomes
  utilisation
• Increasing number of practices now computerised

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Weaknesses of primary care data

• Often comes from volunteer practices hence may
  not be representative
• Quality completeness of data recording varies
  widely
• Lack of socio-economic ethnic data
• Collected for different objectives
• Can be difficult expensive to access

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Change in antibiotic prescribing 1995-1998 GPRD
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Key questions

• How can awareness be increased among potential
  users?
• Should addition of socio-economic ethnic data
  be a priority
• How can a balance be achieved between the need
  for local national data
• How can the NHS make use of developments in
  primary care IT disease registers?

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Key recommendations

• Encourage development of PRIMIS
• Accreditation scheme with quality standards
• Make greater use of sources such as GPRD
• Develop centres of analytical expertise
• Ensure monitoring takes case-mix into account