Making Medicaid work.

Dent Manage

Published: November 1969

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Background: Evaluating access to psychosocial services can inform policy decision-making on ways to address shortages in the availability of mental health (MH)-specialized providers. The objective of the study was to assess how the mental health (MH)-specialized workforce met the demand for psychosocial services of Medicaid-insured children in Georgia, with direct relevance in establishing quantitative network adequacy.

Methods: We used the 2018 Medicaid (TAF) claims data, the 2018 National Plan and Provider Enumeration System database, and the 2019 Georgia school-based program data to estimate community-level demand and practice-level supply of psychosocial services.

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Background: Explicit funding and industry affiliation are believed to potentially impact medical research. There have been an increasing number of studies that have evaluated this relationship. The purpose of this study is to determine whether industry affiliation influences the outcomes of randomized controlled trials that investigate the effectiveness of platelet-rich plasma (PRP) in the treatment of lateral epicondylitis.

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Disparities in Operative Fixation for Acromioclavicular Joint Injuries: An Analysis of Insurance Status.

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January 2025

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Background: Acromioclavicular (AC) joint injury management has historically been guided by the severity and grade of the injury. However, recent debates have emerged regarding the role of surgical intervention for these injuries. Insurance-based disparities in surgical treatment have been well-documented across various orthopedic conditions.

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Interest is rapidly growing around screening for health-related social needs (HRSN) in direct patient care settings. The screening and provision of HRSN is often done in the context of trying to address social determinants of health (SDOH). While there is emerging evidence that screening and referral for HRSN can improve health outcomes, there are educational, operational, and systemic gaps that need to be filled in order for HRSN screening and referral to be implemented system-wide and result in meaningful improvement in population health outcomes.

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Background: Medicare Bayesian Improved Surname and Geocoding (MBISG), which augments an imperfect race-and-ethnicity administrative variable to estimate probabilities that people would self-identify as being in each of 6 mutually exclusive racial-and-ethnic groups, performs very well for Asian American and Native Hawaiian/Pacific Islander (AA&NHPI), Black, Hispanic, and White race-and-ethnicity, somewhat less well for American Indian/Alaska Native (AI/AN), and much less well for Multiracial race-and-ethnicity.

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Methods: Using the Medicare Health Outcomes Survey (HOS) baseline (2013-2018) and 2-year follow-up data (2015-2020), we evaluate the consistency of self-reported race-and-ethnicity coded 2 ways: the 6 mutually exclusive MBISG categories and individual endorsements of each racial-and-ethnic group.

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