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Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant in Public Health Kent County Council

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Page 1: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant

Kent LTC Year of Care Programme:Using whole population linked datasets to develop higher value models of care

Dr Abraham GeorgeAsst Dir / Consultant in Public Health

Kent County Council

Page 2: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant

Aims

• Use whole population integrated data sets to help commissioners evaluate relative impact of different integrated care initiatives

• Use routine administration data to develop a different method of commissioning – capitated funding model – to intervene earlier, support independent living, prevent ‘crisis’ and rehospitalisation

• Use the same routine administrative data to develop a different method of payment for services which is not cost per activity but is outcomes based

• Design personal health and social care budgets to support integrated personalisation

Page 3: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant

Setting the scope of our funding model

Page 4: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant

Setting the scope of our funding model

Page 5: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant

Setting the scope of our funding model

Page 6: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant

Developing ‘currencies’ & identify potential “at risk” cohort

• Whole population approach (SUS & provider data into local data warehouse)

• Standard currency agreed across Kent• List segmented by LTC currency (Bands B – E applied - B=2,C=3-

5,D=6-8,E=9+)• Tariff to be developed for each currency band• Risk stratification of whole population using hospital and primary

care data• Risk Score over time mapped (looking for rise in risk score in last

3 to 6 mths)• Multi-morbidity mapped for ‘at risk’ group across 18 Long Term

Conditions

Page 7: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant
Page 8: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant

‘YOC Cohort’

Page 9: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant

YOC vs Non YOC average costs

Page 10: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant

YoC vs non YoC average costs breakdown

Page 11: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant

Multimorbidity profile (YoC) Cohort(n=23,600)

Page 12: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant

Multimorbidity profile (Non YoC Cohort)(n=260,029)

Page 13: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant

Multimorbidity profile (Whole popn)(n=283,329)

Page 14: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant

Next steps • Increase the number of GP practices flowing data to KMHIS• Increase the number of providers flowing data to KMHIS • Develop a Data Quality Improvement Plan across the system • Work with Commissioners and Providers to develop a

commissioning model in each health system • Work with commissioners and providers to develop the

contracting model to support the commissioning model• Develop a standard set of reports and dashboards to support

the monitoring evaluation of Integrated Care services across Kent

• Use linked datasets for enhanced analytics purposes (service evaluation, system modelling, economic evaluation of prevention, etc)

Page 15: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant
Page 16: Kent LTC Year of Care Programme: Using whole population linked datasets to develop higher value models of care Dr Abraham George Asst Dir / Consultant