451 research outputs found

    Burnt: A Narrative Exploration of Burnout in Medicine

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    Burnout has become a central social issue within the culture of medicine. Estimates project that more than half of all physicians experience burnout in a given year. This results in lower job satisfaction among physicians as well as diminished patient outcomes. The topic’s literature suggests that burnout susceptibility is multifactorial, but includes extrinsic (debt, variable schedule, hierarchical workplace, EMR) as well as intrinsic (uncertainty, breaking difficult news, secondary trauma) contributors. To better understand this complicated topic, this project sought to synthesize competing factors within a narrative that explores the good and bad of contemporary medicine. The narrative is informed by direct observation and interviews with physicians and medical students. This has resulted in the deliverable form of a novel based on the episodic experiences of a PGY-1 in a busy urban hospital. This character is representative of a specific cul-de-sac or burnout. PGY-1 interns were found to have particularly high rates of emotional exhaustion. Emergency Departments have the highest rate of burnout among hospital staff. At present, a primitive draft of the project has been completed. After further discussion and interviewing, a subsequent outline was made to ensure key trigger-points were included within the story, including: medical mistakes, pharmacologic seeking patients and the results of difficult personalities within the medical world. At present, two revised chapters have been completed. Fiction was chosen for this project because of its unique ability to place the reader within a character’s headspace. While the contributing factors of burnout exceed any narrative’s capacity, storytelling allows for the interaction and compounding of these factors to be explored in a meaningful way. This work aspires to build understanding and empathy around the topic of physician burnout using one person’s story

    Prescription drug monitoring program data tracking of opioid addiction treatment outcomes in integrated dual diagnosis care involving injectable naltrexone

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    BACKGROUND AND OBJECTIVES: Fourfold increases in opioid prescribing and dispensations over 2 decades in the U.S. has paralleled increases in opioid addictions and overdoses, requiring new preventative, diagnostic, and treatment strategies. This study examines Prescription Drug Monitoring Program (PDMP) tracking as a novel measure of opioid addiction treatment outcomes in a university-affiliated integrated mental health-addiction treatment clinic. METHODS: Repeated measure parametrics examined PDMP and urine drug screening (UDS) data before and after first injection for all patients (N = 68) who received at least one long-acting naltrexone injection (380 mg/IM) according to diagnostic groupings of having either (i) alcohol (control); (ii) opioid; or (iii) combined alcohol and opioid use disorders. RESULTS: There were no group differences post-injection in treatment days, injections delivered, or treatment service encounters. UDS and PDMP measures of opioid exposures were greater in opioid compared to alcohol-only patients. Post-first injection, UDS's positive for opioids declined (p < .05) along with PDMP measures of opioid prescriptions (p < .001), doses (p < .01), types (p < .001), numbers of dispensing prescribers (p < .001) and pharmacies (p < .001). Opioid patients without alcohol disorders showed the best outcomes with 50% to 80% reductions in PDMP-measures of opioids, down to levels of alcohol-only patients. CONCLUSIONS: This study shows PDMP utility for measuring opioid addiction treatment outcomes, supporting the routine use of PDMPs in clinical and research settings. SCIENTIFIC SIGNIFICANCE: These findings demonstrate that opioid addiction in patients with complex addictions and mental illnesses comorbidities can show effective treatment responses as measured by PDMP tracking of decreases in opioid prescriptions to those patients. (Am J Addict 2016;25:557-564)

    An assessment of the methodological quality of published network meta-analyses: a systematic review

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    Objective To assess the methodological quality of published network meta-analysis. Design Systematic review. Methods We searched the medical literature for network meta-analyses of pharmaceuticals. We assessed general study characteristics, study transparency and reproducibility, methodological approach, and reporting of findings. We compared studies published in journals with lower impact factors with those published in journals with higher impact factors, studies published prior to January 1st, 2013 with those published after that date, and studies supported financially by industry with those supported by non-profit institutions or that received no support. Results The systematic literature search identified 854 citations. Three hundred and eighteen studies met our inclusion criteria. The number of network meta-analyses has grown rapidly, with 48% of studies published since January 2013. The majority of network meta-analyses were supported by a non-profit institution or received no support (68%). We found considerable inconsistencies among reviewed studies. Eighty percent reported search terms, 61% a network diagram, 65% sufficient data to replicate the analysis, and 90% the characteristics of included trials. Seventy percent performed a risk of bias assessment of included trials, 40% an assessment of model fit, and 56% a sensitivity analysis. Among studies with a closed loop, 69% examined the consistency of direct and indirect evidence. Sixty-four percent of studies presented the full matrix of head-to-head treatment comparisons. For Bayesian studies, 41% reported the probability that each treatment was best, 31% reported treatment ranking, and 16% included the model code or referenced publicly-available code. Network meta-analyses published in higher impact factors journals and those that did not receive industry support performed better across the assessment criteria. We found few differences between older and newer studies. Conclusions There is substantial variation in the network meta-analysis literature. Consensus among guidelines is needed improve the methodological quality, transparency, and consistency of study conduct and reporting

    How Do Payers Respond to Regulatory Actions? The Case of Bevacizumab

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    In February 2008, the US Food and Drug Administration (FDA) granted accelerated approval for bevacizumab for metastatic breast cancer. After public hearings in July 2010, and June 2011, the FDA revoked this approved indication in November 2011, on the basis of additional evidence regarding its risk/benefit profile. The Centers for Medicare and Medicaid Services, local Medicare contractors, and commercial payers varied in their stated intentions to cover bevacizumab after FDA's regulatory actions. We examined payer-specific trends in bevacizumab use after the FDA's regulatory actions
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