Publications by authors named "Karen Swietek"

Increased availability of telehealth can improve access to health care. However, there is evidence of persistent disparities in telehealth usage, as well as among people from minoritized racial and ethnic groups and rural residents. The objective of our work was to explore the degree to which disparities in telehealth use for behavioral health (BH) and musculoskeletal (MSK) related services during the COVID-19 pandemic are explained by observed beneficiary- and area-level characteristics.

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Objective: We examined factors associated with telehealth utilization during COVID-19 among adult Medicaid beneficiaries with behavioral health conditions.

Data Sources And Study Setting: NC Medicaid 2019-2021 beneficiary and claims data.

Study Design: This retrospective cohort study examined and compared behavioral health service use pre-COVID-19 (03/01/2019 to 02/28/2020) and during COVID-19 (04/01/2020 to 03/31/2021).

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People with serious mental illness (SMI) have high rates of cardiometabolic illness, receive low quality care, and experience poor outcomes. Nevertheless, studies of existing integrated care models have not consistently shown improvements in cardiometabolic health for people with SMI. This study assessed the effect of a novel model of enhanced primary care for people with SMI on cardiometabolic outcomes.

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Objective: To examine the association between county-level Black-White residential segregation and COVID-19 vaccination rates.

Design: Observational cross-sectional study using multivariable generalized linear models with state fixed effects to estimate the average marginal effects of segregation on vaccination rates.

Setting: National analysis of county-level vaccination rates.

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Objective: To examine whether the length of participation in a patient-centered medical home (PCMH), an evidence-based practice, leads to higher quality care for Medicaid enrollees with multiple co-morbid chronic conditions and major depressive disorder (MDD).

Data Sources: This analysis uses a unique data source that links North Carolina Medicaid claims and enrollment data with other administrative data including electronic records of state-funded mental health services, a state psychiatric hospital utilization database, and electronic records from a five-county behavioral health carve-out program.

Study Design: This retrospective cohort study uses generalized estimating equations (GEEs) on person-year-level observations to examine the association between the duration of PCMH participation and measures of guideline-concordant care, including the receipt of minimally adequate care for MDD, defined as 6 months of antidepressant use or eight psychotherapy visits each year.

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Background: Strategies are needed to better address the physical health needs of people with serious mental illness (SMI). Enhanced primary care for people with SMI has the potential to improve care of people with SMI, but evidence is lacking.

Objective: To examine the effect of a novel enhanced primary care model for people with SMI on service use and screening.

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Objectives: To assess the effect of medical home enrollment on acute care use and healthcare spending among Medicaid beneficiaries with mental and physical illness.

Study Design: Retrospective cohort analysis of administrative data.

Methods: We used 2007-2010 Medicaid claims and state psychiatric hospital data from a sample of 83,819 individuals diagnosed with schizophrenia or depression and at least 1 comorbid physical condition.

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Background: Research demonstrates that the patient-centered medical home (PCMH) is associated with improved clinical outcomes and quality of care, and the populations that can most benefit from this model require long-term management, e.g., persons with chronic illness and behavioral health conditions.

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Objective: To examine the association between medical home enrollment and receipt of recommended care for Medicaid beneficiaries with multiple chronic conditions (MCC).

Data Sources/study Setting: Secondary claims data from fiscal years 2008-2010. The sample included nonelderly Medicaid beneficiaries with at least two of eight target conditions (asthma, chronic obstructive pulmonary disease, diabetes, hypertension, hyperlipidemia, seizure disorder, major depressive disorder, and schizophrenia).

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Introduction: The Beacon Community Cooperative Agreement Program supports interventions, including care-delivery innovations, provider performance measurement and feedback initiatives, and tools for providers and consumers to enhance care. Using a learning health system framework, we examine the Beacon Communities' processes in building and strengthening health IT (HIT) infrastructures, specifically successes and challenges in sharing patient information to improve clinical care.

Background: In 2010, the Office of the National Coordinator for Health Information Technology (ONC) launched the three-year program, which provided $250 million to 17 Beacon Communities to invest in HIT and health information exchange (HIE) infrastructure.

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