Advancing Value-Based Population Health Management Through Payer-Provider Partnerships: Improving Outcomes for

Insights

This study tested a value-based care model for children with medically complex conditions, showing maintained or improved quality of care. The population health management approach demonstrated potential cost savings, highlighting effective payer-provider partnerships.

Area of Science:

  • Healthcare Management
  • Pediatric Care
  • Value-Based Healthcare

Background:

  • Existing population health management (PHM) strategies have limitations in improving healthcare cost and quality.
  • Integrated delivery and financing systems face challenges in managing care for pediatric populations with complex conditions.

Purpose of the Study:

  • To design, implement, and test a scalable value-based care model for children with medically complex conditions.
  • To evaluate the impact of the model on healthcare costs and quality of care within a real-world setting.

Main Methods:

  • A value-based care model incorporating interdisciplinary infrastructure, analytics, alternative payments, consumer spending accounts, and shared savings was implemented.
  • Four practices enrolled 215 children (
  • Propensity score matching was used to compare outcomes between intervention and comparison groups over a 2-year period.

Main Results:

  • The intervention group demonstrated cost savings over the 2-year performance period, though not statistically significant compared to the control group due to small sample size.
  • Quality of care metrics were maintained or improved from baseline to the end of the performance period for the intervention group.
  • The model highlighted the utility of real-world laboratories and payer-provider partnerships in testing PHM initiatives.

Conclusions:

  • The tested value-based care model shows promise for reducing healthcare costs while maintaining or improving care quality for children with medically complex conditions.
  • Real-world laboratories leveraging payer-provider collaborations are effective platforms for evaluating innovative PHM models.
  • Further research with larger sample sizes is warranted to confirm cost-saving impacts.

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