Publications by authors named "Judith P Monestime"

Background: Using federal funds from the 2009 Health Information Technology for Economic and Clinical Health Act, the Centers for Medicare and Medicaid Services funded the 2011-2021 Medicaid electronic health record (EHR) incentive programs throughout the country.

Objective: Identify the market factors associated with Meaningful Use (MU) of EHRs after primary care providers (PCPs) enrolled in the Florida-EHR incentives program through Adopting, Improving, or Upgrading (AIU) an EHR technology.

Research Design: Retrospective cohort study using 2011-2018 program records for 8464 Medicaid providers.

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Article Synopsis
  • The study investigates how county-level factors influence the "meaningful use" of electronic health records (EHRs) among over 8,400 primary care providers in Florida's Medicaid EHR Incentive Program from 2011 to 2018.
  • Key county-level factors analyzed include rurality, poverty, educational attainment, managed care penetration, population changes, and the number of PCPs per capita, with significant findings linking rurality and poverty to lower rates of MU.
  • The research emphasizes the importance of understanding these county-level influences for policymakers and healthcare managers to effectively promote EHR adoption in underserved communities.
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Although the Health Information Technology for Economic and Clinical Health (HITECH) Act has accelerated adoption of Electronic Health Records (EHRs) among Medicaid providers, only half achieved Meaningful Use. Furthermore, Meaningful Use' impact on reporting and/or clinical outcomes remains unknown. To address this deficit, we assessed the difference between Medicaid providers who did and did not achieve Meaningful Use regarding Florida county-level cumulative COVID-19 death, case and case fatality rates (CFR), accounting for county-level demographics, socioeconomic and clinical markers, and healthcare environment.

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Objective: The objective of this study was to quantify the rate of provider participation beyond year 1 incentive in the Florida Medicaid Promoting Interoperability (PI) program, formerly the Electronic Health Record Incentive program, and identify the provider and practice characteristics associated with Meaningful Use attestations.

Methods And Materials: We conducted a retrospective cohort study using the 2011-2018 records from the PI program, Provider Participation Database. Bivariate associations between Meaningful Use and categorical and ordinal variables were tested using Chi-square and Mantel-Haenszel Chi-square, respectively, with results informing logistic regressions.

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Objectives: To identify characteristics of office-based provider used as a usual source of care (USC) associated with secure electronic messaging (SM) use.

Data Source: 2015 Medical Expenditure Panel Survey Household Component and the supplemental Medical Organizations Survey.

Study Design: Cross-sectional analysis.

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On October 1, 2012, as part of the Affordable Care Act, the Centers for Medicare and Medicaid Services began to reduce payments to hospitals with excessive rehospitalization rates through the Hospital Readmissions Reduction Program. These financial penalties have intensified hospital leaders' efforts to implement strategies to reduce readmission rates. The purpose of this multiple case study was to explore organizational strategies that leaders use to reduce readmission rates in hospitals located in a non-Medicaid-expansion state.

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On October 1, 2015, the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) was incorporated into the US public health system. Because of significant opposition and reservations expressed by stakeholders, while the proposed rule for ICD-10-CM adoption was issued in 2009, the transition did not occur until October 2015. The purpose of this study was to identify conversion initiatives used by a public health institution during the initial and subsequent stages of ICD-10-CM implementation, to help similar institutions address future unfunded healthcare data infrastructure mandates.

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