New Machine Learning Research from University of Tokyo Hospital Described (Machine Learning Detects Heterogeneous Effects of Medicaid Coverage on Depression): Machine Learning

2024 MAR 12 (NewsRx) -- By a News Reporter-Staff News Editor at Hospital & Nursing Home Daily -- Fresh data on artificial intelligence are presented in a new report. According to news reporting from Tokyo, Japan, by NewsRx journalists, research stated, “In 2008, Oregon expanded its Medicaid program using a lottery, creating a rare opportunity to study the effects of Medicaid coverage using a randomized controlled design (Oregon Health Insurance Experiment).”

Our news correspondents obtained a quote from the research from University of Tokyo Hospital: “Analysis showed that Medicaid coverage lowered the risk of depression. However, this effect may vary between individuals, and the identification of individuals likely to benefit the most has the potential to improve the effectiveness and efficiency of the Medicaid program. By applying the machine learning causal forest to data from this experiment, we found substantial heterogeneity in the effect of Medicaid coverage on depression; individuals with high predicted benefit were older and had more physical or mental health conditions at baseline. Expanding coverage to individuals with high predicted benefit generated greater reduction in depression prevalence than expanding to all eligible individuals (21.5 vs. 8.8 percentage point reduction; adjusted difference [95%CI], +12.7 [+4.6,+20.8]; P=0.003), at substantially lower cost per case prevented ($16,627 vs. $36,048; adjusted difference [95%CI], -$18,598 [-$156,953,-$3,120]; P=0.04).”

According to the news reporters, the research concluded: “Medicaid coverage reduces depression substantially more in a subset of the population than others, in ways that are predictable in advance. Targeting coverage on those most likely to benefit could improve the effectiveness and efficiency of insurance expansion.”

For more information on this research see: Machine Learning Detects Heterogeneous Effects of Medicaid Coverage on Depression. American Journal of Epidemiology, 2024. The publisher for American Journal of Epidemiology is Oxford University Press (OUP).

A free version of this journal article is available at https://doi.org/10.1093/aje/kwae008.

Our news editors report that more information may be obtained by contacting Ryunosuke Goto, University of Tokyo Hospital Department of Pediatrics, Tokyo, Japan. Additional authors for this research include Kosuke Inoue, Itsuki Osawa, Katherine Baicker, Scott L Fleming, Yusuke Tsugawa.

(Our reports deliver fact-based news of research and discoveries from around the world.)