101,886 research outputs found

    AUTOMATED APPOINTMENT REMINDERS AND NO-SHOW RATES AT APPLETREE BAY PRIMARY CARE: A QUALITY ASSURANCE PROJECT

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    This quality assurance project is aimed to determine how effective a specific primary care office’s current method of reminding patients of scheduled appointments is in reducing the percentage of no-shows. The retrospective data gathered from a calendar month will be evaluated to determine what percentage of patients check-in when reminded with a telephone call. The estimated national no-show is between 23% and 34%. This project reveled a no-show rate of 3.7% at Appletree Bay Primary Care, This rate is important to the health and wellness of their patients. With additional research, the variables affecting this practice’s no-show rates may be exposed, which would provide an opportunity to share the effective methods with other primary care practices

    Reducing No-Shows and Late Cancellations in Primary Care

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    No-shows and late cancellations are a challenge across medical practices, resulting in costly, fragmented care. Many patients do not understand the impact that not showing or cancelling an appointment less than 48 hours prior to a visit can have. While reminding the patient of the appointment has been a known tactic to improve patient’s attendance, the most effective mode of the reminder can vary significantly across patient populations. Just as critical as reminding the patient of the appointment is to ensure they understand the purpose of the visit along with showing respect for their time and any competing priorities. This quality improvement initiative aimed to reduce the no-show rate of 21.4% and late cancellation rate of 21.1% for the MassHealth population by 5%. Learning from previous studies, a hybrid approach to meet this population’s needs included a 7-day reminder call with a Patient Engagement Coordinator (PEC) and a 2-day automated reminder. During the 7-day reminder call the PEC identified barriers to attending the appointment through concrete planning and motivational interviewing strategies. Appointments were rescheduled as needed, additional information was provided to solidify shared goals for the visit, and patient’s time/obligations were validated. The intervention resulted in positive feedback from the majority of patients and revealed concrete planning prompts to be a very effective communication form. The post-intervention data analysis revealed both the no-show and late cancellation results were reduced for the MassHealth population. Due to data and confounding variable limitations this study is recommended to be a basis for future investigation as the principal investigators enter into the next pilot phase of this model

    Improving Fairness and Addressing Racial Disparities in the Delaware Criminal Justice System

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    This memorandum summarizes existing scholarly research on police stops; pretrial detention; charging, plea bargaining, and sentencing; and alternatives to incarceration. For each topic, the memo surveys the extent to which each of these contributes to racial disparities as well as inaccuracies in criminal justice; identifies reforms that have worked elsewhere to ameliorate these problems; and considers the extent to which these reforms are compatible with preserving and improving public safety. The memorandum concludes with a brief discussion of recent scholarship that both highlights larger social factors that contribute to disparity and identifies programs and initiatives outside of the criminal justice system that might reduce racial disparities within the system

    Enhancing the Capacity of Community Health Centers to Achieve High Performance

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    Based on a survey of community health centers, assesses access to care, care coordination, quality improvement efforts, health information technology adoption, and ability to serve as patient-centered medical homes. Suggests policy to strengthen clinics

    Towards a Holistic Approach to Designing Theory-based Mobile Health Interventions

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    Increasing evidence has shown that theory-based health behavior change interventions are more effective than non-theory-based ones. However, only a few segments of relevant studies were theory-based, especially the studies conducted by non-psychology researchers. On the other hand, many mobile health interventions, even those based on the behavioral theories, may still fail in the absence of a user-centered design process. The gap between behavioral theories and user-centered design increases the difficulty of designing and implementing mobile health interventions. To bridge this gap, we propose a holistic approach to designing theory-based mobile health interventions built on the existing theories and frameworks of three categories: (1) behavioral theories (e.g., the Social Cognitive Theory, the Theory of Planned Behavior, and the Health Action Process Approach), (2) the technological models and frameworks (e.g., the Behavior Change Techniques, the Persuasive System Design and Behavior Change Support System, and the Just-in-Time Adaptive Interventions), and (3) the user-centered systematic approaches (e.g., the CeHRes Roadmap, the Wendel's Approach, and the IDEAS Model). This holistic approach provides researchers a lens to see the whole picture for developing mobile health interventions

    The Invisible Power of MacHines Revisiting the Proposed Flash Order Ban in the Wake of the Flash Crash

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    Technological innovation continues to make trading and markets more efficient, generally benefitting market participants and the investing public. But flash trading, a practice that evolved from high-frequency trading, benefits only a select few sophisticated traders and institutions with the resources necessary to view and respond to flashed orders. This practice undermines the basic principles of fairness and transparency in securities regulation, exacerbates information asymmetries and harms investor confidence. This iBrief revisits the Securities and Exchange Commission\u27s proposed ban on the controversial practice of flash trading and urges the Securities and Exchange Commission and the Commodity Futures Trading Commission to implement the ban across the securities and futures markets. Banning flash trading will not impact high-frequency trading or other advantageous innovative trading practices, and will benefit all market participants by making prices and liquidity more transparent. In the wake of the May 6, 2010 flash crash and the passage of the Dodd-Frank Wall Street Reform and Consumer Protection Act, now is an opportune time for the Securities and Exchange Commission and Commodity Futures Trading Commission to implement the ban
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