BACKGROUND Although state Medicaid programs cover cancer screening, Medicaid beneficiaries are less likely to be screened for cancer and are more likely to present with tumors of an advanced stage than are those with other insurance. The current study was performed to determine whether state Medicaid eligibility and reimbursement policies affect the receipt of breast, cervical, and colon cancer screening among Medicaid beneficiaries. METHODS Cross-sectional regression analyses of 2007 Medicaid data from 46 states and the District of Columbia were performed to examine associations between state-specific Medicaid reimbursement/eligibility policies and receipt of cancer screening. The study sample included individuals aged 21 years to 64 years who were enrolled in fee-for-service Medicaid for at least 4 months. Subsamples eligible for each screening test were: Papanicolaou test among 2,136,511 patients, mammography among 792,470 patients, colonoscopy among 769,729 patients, and fecal occult blood test among 753,868 patients. State-specific Medicaid variables included median screening test reimbursement, income/financial asset eligibility requirements, physician copayments, and frequency of eligibility renewal. RESULTS Increases in screening test reimbursement demonstrated mixed associations (positive and negative) with the likelihood of receiving screening tests among Medicaid beneficiaries. In contrast, increased reimbursements for office visits were found to be positively associated with the odds of receiving all screening tests examined, including colonoscopy (odds ratio [OR], 1.07; 95% confidence interval [95% CI], 1.06-1.08), fecal occult blood test (OR, 1.09; 95% CI, 1.08-1.10), Papanicolaou test (OR, 1.02; 95% CI, 1.02-1.03), and mammography (OR, 1.02; 95% CI, 1.02-1.03). Effects of other state-specific Medicaid policies varied across the screening tests examined. CONCLUSIONS Increased reimbursement for office visits was consistently associated with an increased likelihood of being screened for cancer, and may be an important policy tool for increasing screening among this vulnerable population.

Individuals with behavioral health (BH) conditions comprise a medically complex population with high costs and high health care needs. Considering national shortages of BH providers, primary care providers serve a critical role in identifying and treating BH conditions and making referrals to BH providers. States are increasingly seeking ways to address BH conditions among their residents. States funded by the Centers for Medicare and Medicaid Services under the first round of the State Innovation Models (SIM) Initiative all invested in BH integration. States found sharing data among providers, bridging professional divides, and overcoming BH provider shortages were key barriers. Nonetheless, states made significant strides in integrating BH care. Beyond payment models, a key catalyst for change was facilitating informal relationships between BH providers and primary care physicians. Infrastructure investments such as promoting data sharing by connecting BH providers to a health information exchange and providing tailored technical assistance for both BH and primary care providers were also important in improving integration of BH care. Context Increasing numbers of states are looking for ways to address behavioral health (BH) conditions among their residents. The first round of the State Innovation Models (SIM) Initiative provided financial and technical support to six states since 2013 to test the ability of state governments to lead health care system transformation. All six SIM states invested in integration of BH and primary care services. This study summarizes states’ progress, challenges, and lessons learned on BH integration. Additionally, the study reports impacts on expenditure, utilization, and quality‐of‐care outcomes for persons with BH conditions across four SIM states. Methods We use a mixed‐methods design, drawing on focus groups and key informant interviews to reach conclusions on implementation and quantitative analysis using Medicaid claims data to assess impact. For three Medicaid accountable care organization (ACO) models funded under SIM, we used a difference‐in‐differences regression model to compare outcomes for model participants with BH conditions and an in‐state comparison group before‐and‐after model implementation. For the behavioral health home (BHH) model in Maine, we used a pre‐post design to assess how outcomes for model participants changed over time. Findings Informal relationship building, tailored technical assistance, and the promotion of data sharing were key factors in making progress. After three years of implementation, the growth in total expenditures was less than the comparison group by $128 (−$253, −$3; p < 0.10) and $62 (−$87, −$36; p < 0.001) per beneficiary per month for beneficiaries with BH conditions attributed to an ACO in Minnesota and Vermont, respectively. Likewise, there were reductions in emergency department use for ACO participants in all three states after two to four years of implementation. However, there was no improvement in BH‐related quality met...

The medical home is associated with several domains of health service use, yet there is no evidence for its association with health care expenditures for children and youth.

Regardless of the predominant provider's specialty, greater continuity was associated with less use of high-cost services and lower expenditures for these services.

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