5 results on '"Goto, R."'
Search Results
2. Machine learning for detection of heterogeneous effects of Medicaid coverage on depression.
- Author
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Goto R, Inoue K, Osawa I, Baicker K, Fleming SL, and Tsugawa Y
- Subjects
- Humans, United States, Female, Male, Adult, Oregon, Middle Aged, Young Adult, Medicaid statistics & numerical data, Machine Learning, Depression, Insurance Coverage statistics & numerical data
- Abstract
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). 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 = +12.7 [95% CI, +4.6 to +20.8]; P = 0.003), at substantially lower cost per case prevented ($16 627 vs $36 048; adjusted difference = -$18 598 [95% CI, -156 953 to -3120]; P = 0.04). 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. This article is part of a Special Collection on Mental Health., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
- Published
- 2024
- Full Text
- View/download PDF
3. Contribution of vaccinations to reducing socioeconomic disparities in COVID-19 deaths across U.S. counties.
- Author
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Goto R, Kawachi I, Kondo N, and Inoue K
- Subjects
- Humans, United States epidemiology, Socioeconomic Disparities in Health, COVID-19 Vaccines, Vaccination, COVID-19 prevention & control, Vaccines
- Abstract
Purpose: Although increasing vaccine uptake is a key strategy to minimize Coronavirus Disease 2019 (COVID-19) deaths, evidence of the role of vaccination rates in attenuating the socioeconomic disparity in COVID-19 deaths is limited. We thus aimed to quantify the extent to which vaccination rates contribute to the association between U.S. county-level poverty rates and COVID-19 mortality rates., Methods: This nationwide study analyzed data on 3142 U.S. counties. We conducted mediation analyses to calculate the proportions eliminated (PE) of the association between poverty rate and COVID-19 deaths per 100,000 population by setting the COVID-19 vaccination rate (the proportion of fully vaccinated individuals as of December 31, 2021) to different observed values., Results: Adjusted for county-level characteristics, we estimate an additional 25.3 COVID-19 deaths per 100,000 population for each 10% increase in a county's poverty rate. When we set the vaccination rate at its maximum, 90th percentile, and 75th percentile of the observed values, the PE was estimated to be 81% (P < .001), 37% (P < .001), and 21% (P < .001), respectively., Conclusions: Higher county-level poverty rates and lower vaccination rates were associated with greater COVID-19 mortality rates in the United States. Aggressive interventions to increase vaccine uptake could substantially reduce the social disparity in COVID-19 mortality., Competing Interests: Declaration of Competing Interest All authors state that they have no conflict of interest., (Copyright © 2023 Elsevier Inc. All rights reserved.)
- Published
- 2023
- Full Text
- View/download PDF
4. Disparities in Outcomes for Blacks versus Whites Undergoing Total Hip Arthroplasty: A Systematic Literature Review.
- Author
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Mehta BY, Bass AR, Goto R, Russell LA, Parks ML, Figgie MP, and Goodman SM
- Subjects
- Humans, Quality of Life, Socioeconomic Factors, Treatment Outcome, United States, Black or African American, Arthroplasty, Replacement, Hip, Healthcare Disparities, Osteoarthritis, Hip surgery, White People
- Abstract
Objective: Total hip replacement (THA) surgery is a successful procedure, yet blacks in the United States undergo THA less often and reflect poorer outcomes than whites. The purpose of this study is to systematically review the literature on health-related quality of life after THA, comparing blacks and whites., Methods: A librarian-assisted search was performed in Medline through PubMed, Embase, and Cochrane Library on February 27, 2017. Original cohort studies examining pain, function, and satisfaction in blacks and whites 1 year after elective THA were included. Using the Patient/Population-Intervention-Comparison/Comparator-Outcome (PICO) process format, our population of interest was US black adults, our intervention was elective THA, our comparator was white adults, and our outcomes of interest were pain, function, and satisfaction after elective THA. The protocol was registered under the PROSPERO international register, and the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were followed., Results: Of the articles, 4739 were screened by title, 180 by abstract, 25 by full text, and 4 remained for analysis. The studies represented 1588 THA patients, of whom 240 (15%) were black. All studies noted more pain and worse function for blacks; although differences were statistically significant, they were not clinically significant. One study sought and identified less satisfaction for blacks after THA, and 1 study showed worse fear and anxiety scores in blacks., Conclusion: When measured, there are small differences in THA outcomes between blacks and whites, but most studies do not analyze/collect race. Future studies should address the effect of race and socioeconomic factors on healthcare disparities.
- Published
- 2018
- Full Text
- View/download PDF
5. Higher Total Knee Arthroplasty Revision Rates Among United States Blacks Than Whites: A Systematic Literature Review and Meta-Analysis.
- Author
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Bass AR, McHugh K, Fields K, Goto R, Parks ML, and Goodman SM
- Subjects
- Arthroplasty, Replacement, Knee adverse effects, Humans, Knee Prosthesis, Postoperative Complications surgery, Prosthesis Failure, Reoperation statistics & numerical data, United States, Black or African American statistics & numerical data, Arthroplasty, Replacement, Knee statistics & numerical data, White People statistics & numerical data
- Abstract
Background: Reportedly 2% to 5.7% of total knee arthroplasties (TKAs) require revision within 5 years. The purpose of this study was to determine whether blacks are at higher risk of TKA revision than whites in the United States., Methods: We performed a systematic review of English-language articles published from 2000 to 2015. Study inclusion criteria were (1) performance of the study in the United States, (2) TKA as the primary procedure studied, (3) a follow-up period at least 2 years, (4) reporting of revision rates, and (5) analysis of patient race as an independent predictor of revision. We then performed a random-effects meta-analysis to calculate a pooled hazard ratio for TKA revision in blacks compared with whites., Results: A total of 4,286 studies were identified and screened by title; 106, by abstract; and 24, by full text. Six studies met the inclusion criteria. Only 4 of the 6 studies could undergo meta-analysis because of overlapping study populations in 3 of them. The meta-analysis represented 451,960 patients who underwent TKA, of whom 28,772 (6.4%) were black. Of the total, 31,568 patients (7.0%) underwent revision surgery. The risk of revision TKA was significantly higher among blacks than whites (pooled hazard ratio, 1.38; 95% confidence interval, 1.20 to 1.58; p < 0.001). Analysis of the 3 studies with overlapping study populations demonstrated discordant results as a result of adjustment compared with non-adjustment for insurance eligibility, a surrogate for socioeconomic status., Conclusions: Blacks in the United States are at higher risk of revision TKA than whites. Socioeconomic status contributed to revision risk and is an important confounder in analyses of race., Level of Evidence: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.
- Published
- 2016
- Full Text
- View/download PDF
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