Seven Quick Wins – 6

In conjunction with our long term collaborators Johns Hopkins Healthcare, we have devised seven ‘quick wins’ for the delivery of population health analytics that supports Population Health Management strategies.

The sixth of these quick wins is….

#6 Identify new opportunities using casemix-adjusted comparative analysis

Rationale

  • Traditional benchmarking techniques compare ‘performance’ in primary care to a either a CCG or a PCN average
  • This technique does not consider differences in casemix that exist between different GP practices
  • Data produced by Sollis™ Clarity and the ACG® System facilitates casemix-adjusted comparisons
  • Casemix-adjusted comparisons seem to resonate more with GP practices than the traditional benchmarking approaches

Intervention

  • Analyse patients within an ACG associated with a moderate level of complexity
  • Look at the range of prior costs across patients assigned to that ACG or whether differences in cost are associated with a particular service – ED, emergency admissions etc
  • Examine whether there are other non-morbidity related factors that could be associated with the observed variation (unmet need, over-provision, deprivation, patient behaviour)
  • Consider how any identified issue might be addressed in those that are costing more than twice the average cost for patients within that ACG

Benefit

  • Case-mix adjustment facilitates a much fairer method of analysing variation in activity
  • Highlights opportunities for reducing activity that are not apparent through traditional benchmarking approaches
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