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Developing a dashboard to help measure and achieve the triple aim: a population-based cohort study
Hsien-Yeang Seow1, Lyn M Sibley
1Cancer Care Ontario Research Chair in Health Services Research, Department of Oncology, Centre for Health Economics and Policy Analysis, McMaster University, 699 Concession St, 4th Fl, Rm 4-229, Hamilton L8V 5C2, Ontario, Canada. seowh@mcmaster.ca.
A novel case-mix adjustment method, the Adjusted Clinical Group (ACG) system, helps health systems measure and improve the Triple Aim by tracking costs and population health. This system predicts future healthcare needs, aiding planners in managing delivery systems effectively.
Area of Science:
- Health Services Research
- Health Informatics
- Public Health
Background:
- Health system planners strive to achieve the Triple Aim: reduced costs, improved population health, and enhanced care experience.
- Effective health system management requires reliable measures to predict future healthcare needs.
- Current measures for assessing the Triple Aim and predicting future needs at a health system level are limited.
Purpose of the Study:
- To explore the application of a case-mix adjustment method for measuring and improving health system performance aligned with the Triple Aim.
- To assess the utility of a case-mix adjustment system in evaluating health system performance and the Triple Aim.
Main Methods:
- A retrospective cohort study analyzed administrative data from 11.4 million adults in Ontario, Canada.
- The Johns Hopkins Adjusted Clinical Group (ACG) Case-Mix System was used to assign individuals to 60 healthcare need levels (ACGs) based on 2008 diagnoses and utilization data.
- Actual healthcare utilization and costs in 2009 were assessed, forming a health system dashboard with measures of individuals per ACG, total system costs per ACG, and mean cost per person per ACG.
Main Results:
- The study identified significant variations in healthcare utilization and costs across ACG categories, with the highest acuity group consuming 12 times more resources than average.
- The sickest 1%, 5%, and 15% of the population accounted for approximately 10%, 30%, and 50% of total health system costs, respectively.
- The developed dashboard effectively measures reduced costs and improved population health (shift towards healthier ACGs), with potential to improve care experience through predictive utilization reporting.
Conclusions:
- A case-mix dashboard, derived from case-mix methods, effectively measures two key goals of the Triple Aim: cost reduction and population health improvement.
- This dashboard provides health system planners with valuable insights for better management of health delivery systems.
- The system's predictive capabilities can support proactive care planning, contributing to the third Triple Aim goal of improved care experience.
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