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Impact Of Health Care Delivery System Innovations On Total Cost Of Care
Kevin W Smith1, Anupa Bir2, Nikki L B Freeman3
1Kevin W. Smith (kevinsmith@rti.org) is a senior public health scientist at the Center for Advanced Methods Development at RTI International in Waltham, Massachusetts.
Most health care innovations did not significantly reduce costs initially. However, health IT and community health workers showed promise for cost savings in complex patient populations. Further analysis is needed.
Area of Science:
- Health Services Research
- Health Economics
- Healthcare Innovation
Background:
- Advancing healthcare reform through delivery system innovations is a key focus.
- Evaluating the success of specific innovations is challenging due to limited studies.
- The Center for Medicare and Medicaid Innovation (CMMI) funded numerous healthcare innovations.
Purpose of the Study:
- To analyze the impact of 43 ambulatory care programs funded by CMMI on total cost of care.
- To assess the cost-saving potential of common components within these healthcare innovations.
- To identify which innovation components are most effective in reducing healthcare expenditures.
Main Methods:
- Analysis of 43 ambulatory care programs funded by the Health Care Innovations Awards.
- Independent evaluation of innovations' impact on total cost of care using multivariable difference-in-differences models.
- Meta-regression analysis to assess the effects of common innovation components on costs.
Main Results:
- Most innovations did not demonstrate a significant effect on total cost of care within the first two years.
- Innovations incorporating health information technology (HIT) and community health workers (CHW) yielded the greatest cost savings.
- Programs targeting clinically fragile patients showed relatively large cost savings, though not statistically significant.
Conclusions:
- While some delivery system innovations show potential for cost savings, particularly those using HIT or CHWs and targeting complex patients, most did not reach conventional significance levels in initial analyses.
- Larger meta-analyses are required to definitively establish the cost-saving potential of various delivery system innovations.
- Further research is needed to understand the long-term impact and scalability of successful healthcare innovations.
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