Miguel Marino1, Steffani R Bailey2, Rachel Gold3, Megan J Hoopes4, Jean P O'Malley5, Nathalie Huguet2, John Heintzman2, Charles Gallia6, K John McConnell7, Jennifer E DeVoe8. 1. Department of Family Medicine, Oregon Health and Science University, Portland, Oregon; Department of Public Health and Preventive Medicine, Division of Biostatistics, Oregon Health and Science University, Portland, Oregon. Electronic address: marinom@ohsu.edu. 2. Department of Family Medicine, Oregon Health and Science University, Portland, Oregon. 3. OCHIN, Inc., Portland, Oregon; Kaiser Permanente Northwest Center for Health Research, Portland, Oregon. 4. OCHIN, Inc., Portland, Oregon. 5. Department of Public Health and Preventive Medicine, Division of Biostatistics, Oregon Health and Science University, Portland, Oregon. 6. Office of Health Analytics, Oregon Health Authority, Salem, Oregon. 7. Center for Health Systems Effectiveness, Department of Emergency Medicine, Oregon Health and Science University, Portland, Oregon. 8. Department of Family Medicine, Oregon Health and Science University, Portland, Oregon; OCHIN, Inc., Portland, Oregon.
Abstract
INTRODUCTION: It is predicted that gaining health insurance via the Affordable Care Act will result in increased rates of preventive health services receipt in the U.S., primarily based on self-reported findings from previous health insurance expansion studies. This study examined the long-term (36-month) impact of Oregon's 2008 randomized Medicaid expansion ("Oregon Experiment") on receipt of 12 preventive care services in community health centers using electronic health record data. METHODS:Demographic data from adult (aged 19-64 years) Oregon Experiment participants were probabilistically matched to electronic health record data from 49 Oregon community health centers within the OCHIN community health information network (N=10,643). Intent-to-treat analyses compared receipt of preventive services over a 36-month (2008-2011) period among those randomly assigned to apply for Medicaid versus not assigned, and instrumental variable analyses estimated the effect of actually gaining Medicaid coverage on preventive services receipt (data collected in 2012-2014; analysis performed in 2014-2015). RESULTS: Intent-to-treat analyses revealed statistically significant differences between patients randomly assigned to apply for Medicaid (versus not assigned) for 8 of 12 assessed preventive services. In intent-to-treat analyses, Medicaid coverage significantly increased the odds of receipt of most preventive services (ORs ranging from 1.04 [95% CI=1.02, 1.06] for smoking assessment to 1.27 [95% CI=1.02, 1.57] for mammography). CONCLUSIONS: Rates of preventive services receipt will likely increase as community health center patients gain insurance through Affordable Care Act expansions. Continued effort is needed to increase health insurance coverage in an effort to decrease health disparities in vulnerable populations.
RCT Entities:
INTRODUCTION: It is predicted that gaining health insurance via the Affordable Care Act will result in increased rates of preventive health services receipt in the U.S., primarily based on self-reported findings from previous health insurance expansion studies. This study examined the long-term (36-month) impact of Oregon's 2008 randomized Medicaid expansion ("Oregon Experiment") on receipt of 12 preventive care services in community health centers using electronic health record data. METHODS: Demographic data from adult (aged 19-64 years) Oregon Experiment participants were probabilistically matched to electronic health record data from 49 Oregon community health centers within the OCHIN community health information network (N=10,643). Intent-to-treat analyses compared receipt of preventive services over a 36-month (2008-2011) period among those randomly assigned to apply for Medicaid versus not assigned, and instrumental variable analyses estimated the effect of actually gaining Medicaid coverage on preventive services receipt (data collected in 2012-2014; analysis performed in 2014-2015). RESULTS: Intent-to-treat analyses revealed statistically significant differences between patients randomly assigned to apply for Medicaid (versus not assigned) for 8 of 12 assessed preventive services. In intent-to-treat analyses, Medicaid coverage significantly increased the odds of receipt of most preventive services (ORs ranging from 1.04 [95% CI=1.02, 1.06] for smoking assessment to 1.27 [95% CI=1.02, 1.57] for mammography). CONCLUSIONS: Rates of preventive services receipt will likely increase as community health center patients gain insurance through Affordable Care Act expansions. Continued effort is needed to increase health insurance coverage in an effort to decrease health disparities in vulnerable populations.
Authors: Heather Angier; Megan Hoopes; Rachel Gold; Steffani R Bailey; Erika K Cottrell; John Heintzman; Miguel Marino; Jennifer E DeVoe Journal: Ann Fam Med Date: 2015 Jan-Feb Impact factor: 5.166
Authors: Rachel Gold; Jennifer E DeVoe; Patti J McIntire; Jon E Puro; Susan L Chauvie; Amit R Shah Journal: J Am Board Fam Med Date: 2012 Jan-Feb Impact factor: 2.657
Authors: Jennifer E Devoe; Rachel Gold; Patti McIntire; Jon Puro; Susan Chauvie; Charles A Gallia Journal: Ann Fam Med Date: 2011 Jul-Aug Impact factor: 5.166
Authors: Steffani R Bailey; Jean P O'Malley; Rachel Gold; John Heintzman; Miguel Marino; Jennifer E DeVoe Journal: Am J Prev Med Date: 2014-11-06 Impact factor: 5.043
Authors: Jennifer E Devoe; Rachel Gold; Mark Spofford; Susan Chauvie; John Muench; Ann Turner; Sonja Likumahuwa; Christine Nelson Journal: J Am Board Fam Med Date: 2011 Sep-Oct Impact factor: 2.657
Authors: Steffani R Bailey; Megan J Hoopes; Miguel Marino; John Heintzman; Jean P O'Malley; Brigit Hatch; Heather Angier; Stephen P Fortmann; Jennifer E DeVoe Journal: J Gen Intern Med Date: 2016-06-21 Impact factor: 5.128
Authors: Brigit A Hatch; Carrie J Tillotson; Nathalie Huguet; Megan J Hoopes; Miguel Marino; Jennifer E DeVoe Journal: Am J Prev Med Date: 2019-08 Impact factor: 5.043
Authors: H Angier; J P O'Malley; M Marino; K J McConnell; E Cottrell; R L Jacob; S Likumahuwa-Ackman; J Heintzman; N Huguet; S R Bailey; J E DeVoe Journal: Contemp Clin Trials Date: 2016-11-09 Impact factor: 2.226
Authors: Brigit Hatch; Miguel Marino; Marie Killerby; Heather Angier; Megan Hoopes; Steffani R Bailey; John Heintzman; Jean P O'Malley; Jennifer E DeVoe Journal: J Gen Intern Med Date: 2017-04-03 Impact factor: 5.128
Authors: Heather Angier; Megan Hoopes; Miguel Marino; Nathalie Huguet; Elizabeth A Jacobs; John Heintzman; Heather Holderness; Carlyn M Hood; Jennifer E DeVoe Journal: Ann Fam Med Date: 2017-09 Impact factor: 5.166