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The Oregon experiment--effects of Medicaid on clinical outcomes.

ABSTRACT: Despite the imminent expansion of Medicaid coverage for low-income adults, the effects of expanding coverage are unclear. The 2008 Medicaid expansion in Oregon based on lottery drawings from a waiting list provided an opportunity to evaluate these effects.Approximately 2 years after the lottery, we obtained data from 6387 adults who were randomly selected to be able to apply for Medicaid coverage and 5842 adults who were not selected. Measures included blood-pressure, cholesterol, and glycated hemoglobin levels; screening for depression; medication inventories; and self-reported diagnoses, health status, health care utilization, and out-of-pocket spending for such services. We used the random assignment in the lottery to calculate the effect of Medicaid coverage.We found no significant effect of Medicaid coverage on the prevalence or diagnosis of hypertension or high cholesterol levels or on the use of medication for these conditions. Medicaid coverage significantly increased the probability of a diagnosis of diabetes and the use of diabetes medication, but we observed no significant effect on average glycated hemoglobin levels or on the percentage of participants with levels of 6.5% or higher. Medicaid coverage decreased the probability of a positive screening for depression (-9.15 percentage points; 95% confidence interval, -16.70 to -1.60; P=0.02), increased the use of many preventive services, and nearly eliminated catastrophic out-of-pocket medical expenditures.This randomized, controlled study showed that Medicaid coverage generated no significant improvements in measured physical health outcomes in the first 2 years, but it did increase use of health care services, raise rates of diabetes detection and management, lower rates of depression, and reduce financial strain.

SUBMITTER: Baicker K

PROVIDER: S-EPMC3701298 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature

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The Oregon experiment--effects of Medicaid on clinical outcomes.

Baicker Katherine K Taubman Sarah L SL Allen Heidi L HL Bernstein Mira M Gruber Jonathan H JH Newhouse Joseph P JP Schneider Eric C EC Wright Bill J BJ Zaslavsky Alan M AM Finkelstein Amy N AN

The New England journal of medicine 20130501 18

<h4>Background</h4>Despite the imminent expansion of Medicaid coverage for low-income adults, the effects of expanding coverage are unclear. The 2008 Medicaid expansion in Oregon based on lottery drawings from a waiting list provided an opportunity to evaluate these effects.<h4>Methods</h4>Approximately 2 years after the lottery, we obtained data from 6387 adults who were randomly selected to be able to apply for Medicaid coverage and 5842 adults who were not selected. Measures included blood-pr ...[more]

PMID: 23635051

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Project description:In the United States, health insurance is not universal. Observational studies show an association between uninsured parents and children. This association persisted even after expansions in child-only public health insurance. Oregon's randomized Medicaid expansion for adults, known as the Oregon Experiment, created a rare opportunity to assess causality between parent and child coverage.To estimate the effect on a child's health insurance coverage status when (1) a parent randomly gains access to health insurance and (2) a parent obtains coverage.Oregon Experiment randomized natural experiment assessing the results of Oregon's 2008 Medicaid expansion. We used generalized estimating equation models to examine the longitudinal effect of a parent randomly selected to apply for Medicaid on their child's Medicaid or Children's Health Insurance Program (CHIP) coverage (intent-to-treat analyses). We used per-protocol analyses to understand the impact on children's coverage when a parent was randomly selected to apply for and obtained Medicaid. Participants included 14409 children aged 2 to 18 years whose parents participated in the Oregon Experiment.For intent-to-treat analyses, the date a parent was selected to apply for Medicaid was considered the date the child was exposed to the intervention. In per-protocol analyses, exposure was defined as whether a selected parent obtained Medicaid.Children's Medicaid or CHIP coverage, assessed monthly and in 6-month intervals relative to their parent's selection date.In the immediate period after selection, children whose parents were selected to apply significantly increased from 3830 (61.4%) to 4152 (66.6%) compared with a nonsignificant change from 5049 (61.8%) to 5044 (61.7%) for children whose parents were not selected to apply. Children whose parents were randomly selected to apply for Medicaid had 18% higher odds of being covered in the first 6 months after parent's selection compared with children whose parents were not selected (adjusted odds ratio [AOR]=1.18; 95% CI, 1.10-1.27). The effect remained significant during months 7 to 12 (AOR=1.11; 95% CI, 1.03-1.19); months 13 to 18 showed a positive but not significant effect (AOR=1.07; 95% CI, 0.99-1.14). Children whose parents were selected and obtained coverage had more than double the odds of having coverage compared with children whose parents were not selected and did not gain coverage (AOR=2.37; 95% CI, 2.14-2.64).Children's odds of having Medicaid or CHIP coverage increased when their parents were randomly selected to apply for Medicaid. Children whose parents were selected and subsequently obtained coverage benefited most. This study demonstrates a causal link between parents' access to Medicaid coverage and their children's coverage.

Project description:Background Residential treatment is a common approach for treating opioid use disorder (OUD), however, few studies have directly compared it to outpatient treatment. The objective of this study was to compare OUD outcomes among individuals receiving residential and outpatient treatment. Methods A retrospective cohort study used linked data from a state Medicaid program, vital statistics, and the Substance Abuse and Mental Health Services Administration (SAMHSA) Treatment Episodes Dataset (TEDS) to compare OUD-related health outcomes among individuals treated in a residential or outpatient setting between 2014 and 2017. Multivariable Cox proportional hazards and logistic regression models examined the association between treatment setting and outcomes (i.e., opioid overdose, non-overdose opioid-related and all-cause emergency department (ED) visits, hospital admissions, and treatment retention) controlling for patient characteristics, co-morbidities, and use of medications for opioid use disorders (MOUD). Interaction models evaluated how MOUD use modified associations between treatment setting and outcomes. Results Of 3293 individuals treated for OUD, 957 (29%) received treatment in a residential facility. MOUD use was higher among those treated as an outpatient (43%) compared to residential (19%). The risk of opioid overdose (aHR 1.39; 95% CI 0.73–2.64) or an opioid-related emergency department encounter or admission (aHR 1.02; 95% CI 0.80–1.29) did not differ between treatment settings. Independent of setting, MOUD use was associated with a significant reduction in overdose risk (aHR 0.45; 95% CI 0.23–0.89). Residential care was associated with greater odds of retention at 6-months (aOR 1.71; 95% CI 1.32–2.21) but not 1-year. Residential treatment was only associated with improved retention for individuals not receiving MOUD (6-month aOR 2.05; 95% CI 1.56–2.71) with no benefit observed in those who received MOUD (aOR 0.75; 95% CI 0.46–1.29; interaction p = 0.001). Conclusions Relative to outpatient treatment, residential treatment was not associated with reductions in opioid overdose or opioid-related ED encounters/hospitalizations. Regardless of setting, MOUD use was associated with a significant reduction in opioid overdose risk. Supplementary Information The online version contains supplementary material available at 10.1186/s13722-022-00318-1.

Project description:Importance:Several state Medicaid reforms are under way, but the relative performance of different approaches is unclear. Objective:To compare the performance of Oregon's and Colorado's Medicaid Accountable Care Organization (ACO) models. Design, Setting, and Participants:Oregon initiated its Medicaid transformation in 2012, supported by a $1.9 billion investment from the federal government, moving most Medicaid enrollees into 16 Coordinated Care Organizations, which managed care within a global budget. Colorado initiated its Medicaid Accountable Care Collaborative in 2011, creating 7 Regional Care Collaborative Organizations that received funding to coordinate care with providers and connect Medicaid enrollees with community services. Data spanning July 1, 2010, through December 31, 2014 (18 months before intervention and 24 months after intervention, treating 2012 as a transition year) were analyzed for 452?371 Oregon and 330?511 Colorado Medicaid enrollees, assessing changes in outcomes using difference-in-differences analyses of regional focus, primary care homes, and care coordination. Oregon's Coordinated Care Organization model was more comprehensive in its reform goals and in the imposition of downside financial risk. Exposures:Regional focus, primary care homes, and care coordination in Medicaid ACOs. Main Outcomes and Measures:Performance on claims-based measures of standardized expenditures and utilization for selected services, access, preventable hospitalizations, and appropriateness of care. Results:In a total of 782?882 Medicaid enrollees, 45.0% were male, with mean (SD) age 16.74 (14.41) years. Standardized expenditures for selected services declined in both states during the 2010-2014 period, but these decreases were not significantly different between the 2 states. Oregon's model was associated with reductions in emergency department visits (-6.28 per 1000 beneficiary-months; 95% CI, -10.51 to -2.05) and primary care visits (-15.09 visits per 1000 beneficiary-months; 95% CI, -26.57 to -3.61), improvements in acute preventable hospital admissions (-1.01 admissions per 1000 beneficiary-months; 95% CI, -1.61 to -0.42), 3 of 4 measures of access (well-child visits, ages 3-6 years, 2.69%; 95% CI, 1.20% to 4.19%; adolescent well-care visits, 6.77%; 95% CI, 5.22% to 8.32%; and adult access to preventive ambulatory care, 1.26%; 95% CI, 0.28% to 2.25%), and 1 of 4 measures of appropriateness of care (avoidance of head imaging for uncomplicated headache, 2.59%; 95% CI, 1.35% to 3.83%). Conclusions and Relevance:Two years into implementation, Oregon's and Colorado's Medicaid ACO models exhibited similar performance on standardized expenditures for selected services. Oregon's model, marked by a large federal investment and movement to global budgets, was associated with improvements in some measures of utilization, access, and quality, but Colorado's model paralleled Oregon's on several other metrics.

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The Oregon experiment--effects of Medicaid on clinical outcomes.

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The Oregon experiment--effects of Medicaid on clinical outcomes.

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