Journal of general internal medicine
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Although there is increased demand for behavioral health services, there is limited national data on the workforce prescribing psychotropics and/or medications for opioid use disorder (MOUD), and many current estimates are based on self-reported data or clinician rosters. ⋯ Using prescription data, a proxy for being active in the workforce, goes beyond specialty designation to identify the full workforce prescribing psychotropics and MOUD, including the growing role of APCs and PCPs.
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Ensuring an adequate supply of physicians is paramount in securing the future of healthcare. To do so, accurate physician workforce predictions are needed to inform policymakers. ⋯ Moreover, while federal and state entities invest approximately $15 billion annually in graduate medical education (GME) payments, they have very little control over how the funding is used to shape the future physician workforce. In this article, we review physician workforce predictions from both an international and a domestic perspective and finally discuss how the creation of an apolitical, data-driven, expert-led panel at the federal level with sufficient authority to influence broader workforce policy is the optimal solution for ensuring an adequate supply of physicians for generations to come.
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Decisions to prescribe opioids to patients depend on many factors, including illness severity, pain assessment, and patient age, race, ethnicity, and gender. Gender and sex disparities have been documented in many healthcare settings, but are understudied in inpatient general medicine hospital settings. ⋯ Female patients were less likely to receive inpatient opioids and received fewer opioids when prescribed. Future work to promote equity should identify strategies to ensure all patients receive adequate pain management.
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How Healthcare Providers Decide on a Referral Location in Telephone Triage: A Cross-sectional Study.
Approximately 25% of patients that present to the emergency department (ED) do so after contact with a healthcare professional. Many of these patients could be effectively managed in non-ED ambulatory settings. Aligning patients with safe and appropriate outpatient care has the potential to improve ED overcrowding, patient experience, outcomes, and costs. Little is understood about how healthcare providers approach triage decision-making and what factors influence their choices. ⋯ Triage decision-making for healthcare providers is influenced by many factors related to clinical resources, care coordination, patient factors, and clinician factors. The complex considerations involved yield variability in triage decisions that is largely unexplained by descriptive physician factors.
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Patients with rare conditions often experience substantial delays between presentation and diagnosis, and some remain undiagnosed. In this Perspective, we outline the many challenges in diagnosing rare conditions in the modern clinical context. ⋯ We present solutions currently available for clinicians to mitigate some of these problems, including facilitating deliberate reflection, utilizing a diagnostic management team, and optimizing diagnostic calibration. Finally, we speculate how technology, such as chatbots and decision support tools enhanced by artificial intelligence, may augment a clinician's ability to diagnose rare conditions in a timely and accurate manner without excessive resource use.