IntroductionResearchers, funders, and institutions are interested in understanding and quantifying research dissemination and impact, particularly related to communicating with the public. Traditionally, citations have been a primary impact measure; however, citations can be slow to accrue and focus on academic use. Recently altmetrics, which track alternate dissemination forms (e. g., social media), have been suggested as a complement to citation-based metrics. This study examines the relationship between altmetrics and traditional measures: journal article citations and access counts.MethodsThe researchers queried Web of Science and Altmetric Explorer for articles published in HPE journals between 2013–2015. They identified 2,486 articles with altmetrics. Data were analyzed using negative binomial and linear regression models.ResultsBlogging was associated with the greatest increase in citations (13% increase), whereas Tweets (1.2%) and Mendeley (1%) were associated with smaller increases. Journal impact factor (JIF) was associated with a 21% increase in citations. Publicly accessible articles were associated with a 19% decrease, but the interactive effect between accessible articles and JIF was associated with a 12% increase. When examining access counts, publicly accessible articles had an increase of 170 access counts whereas blogging was associated with a decrease of 87 accesses.DiscussionThis study suggests that several altmetrics outlets are positively associated with citations, and that public accessibility, holding all other independent variables constant, is positively related to article access. Given the scientific community’s evolving focus on dissemination these findings have implications for stakeholders, providing insight into the factors that may improve citations and access of articles.
BackgroundAcute low back pain is one of the most common reasons for individuals to seek medical care in the United States. The US Military Health System provides medical care to approximately 9.4 million beneficiaries annually. These patients also routinely suffer from acute low back pain. Within this health system, patients can receive care and treatment from physicians, or physician extenders including physician assistants and nurse practitioners. Given the diversity of provider types and their respective training programs, it would be informative to evaluate variation in care delivery, adherence to clinical guidelines, and differences within the MHS among a complex mix of provider types.MethodsThis study was a retrospective, cross-sectional quantitative analysis that examined variations in treatment between provider types within the Military Health System in 2015 for treatment of acute low back pain using administrative data. In addition to descriptive and summary statistics, binomial logistic regression models were used to assess variation in practice patterns among physicians and mid-level practitioners for prescribing of non-steroidal anti-inflammatory, opioids, plain radiography, computed tomography, and magnetic resonance imaging.ResultsWith regard to prescribing practices, results indicated that the odds of receiving non-steroidal anti-inflammatory prescriptions increased significantly for both physician assistants and nurse practitioners when compared to physicians. For basic radiological referrals, odds increased significantly for ordering plain radiography for physician assistants and nurse practitioners when compared to physicians. For more advanced imaging, odds significantly decreased for ordering computed tomography (CT) and slightly decreased for magnetic resonance for physician assistants, nurse practitioners and physician residents compared to the physician group. Additionally this study discovered differences in the prescribing patterns between provider categories. Both contractors and civilians had higher odds of prescribing opioids compared to active duty providers.ConclusionsAs physician assistants and nurse practitioners continue to gain popularity as physician extenders in the US and in addressing provider shortages for the Military Health System, further research should be conducted to determine what impact, if any, the differences found in this study have on patient outcomes. In addition, provider type warrants further investigation to determine if labor mix and outsourcing decisions within a single payer system impacts health delivery and value based care.
Researchers, funders, and institutions are interested in understanding and quantifying research dissemination and impact, particularly related to communicating with the public. Traditionally, citations have been a primary impact measure; however, citations can be slow to accrue and focus on academic use. Recently altmetrics, which track alternate dissemination forms (e.g., social media) have been suggested as a complement to citation-based metrics. This study examines the relationship between altmetrics and traditional measures: journal article citations and access counts.The researchers queried Web of Science and Altmetric Explorer for articles published in HPE journals between 2013-2015. They identified 2,486 articles with altmetrics. Data were analyzed using negative binomial and linear regression models.Blogging was associated with the greatest increase in citations (13% increase), whereas Tweets (1.2%) and Mendeley (1%) were associated with smaller increases. Journal impact factor (JIF) was associated with a 21% increase in citations. Publicly accessible articles were associated with a 19% decrease, but the interactive effect between accessible articles and JIF was associated with a 12% increase. When examining access counts, publicly accessible articles had an increase of 170 access counts whereas blogging was associated with a decrease of 87 accesses.This study suggests that several altmetrics outlets are positively associated with citations, and that public accessibility, holding all other independent variables constant, is positively related to article access. Given the scientific community's evolving focus on dissemination-including to the public-these findings have implications for stakeholders, providing insight into the factors that may improve citations and access of articles.
Introduction Many medical education journals use Twitter to garner attention for their articles. The purpose of this study was to test the effects of tweeting on article page views and downloads. Methods The authors conducted a randomized trial using Academic Medicine articles published in 2015. Beginning in February through May 2018, one article per day was randomly assigned to a Twitter (case) or control group. Daily, an individual tweet was generated for each article in the Twitter group that included the title, #MedEd, and a link to the article. The link delivered users to the article's landing page, which included immediate access to the HTML full text and a PDF link. The authors extracted HTML page views and PDF downloads from the publisher. To assess differences in page views and downloads between cases and controls, a time-centered approach was used, with outcomes measured at 1, 7, and 30 days. Results In total, 189 articles (94 cases, 95 controls) were analyzed. After days 1 and 7, there were no statistically significant differences between cases and controls on any metric. On day 30, HTML page views exhibited a 63% increase for cases (M = 14.72, SD = 63.68) when compared to controls (M = 9.01, SD = 14.34; incident rate ratio = 1.63, p = 0.01). There were no differences between cases and controls for PDF downloads on day 30. Discussion Contrary to the authors' hypothesis, only one statistically significant difference in page views between the Twitter and control groups was found. These findings provide preliminary evidence that after 30 days a tweet can have a small positive effect on article page views.
Introduction: Within the Military Health System (MHS), facilities have struggled to meet minimum recommended volume thresholds for certain procedures. Understanding variations in complication rates and cost can help policymakers tailor policy to target improvement. Our objective was to quantify the variation in bariatric surgery complication rates and costs across a sample of military hospitals. Materials and Methods: We study a retrospective cohort of 38 military surgeons practicing in 21 military treatment facilities from 2007 to 2014 who performed 1,277 bariatric surgeries. Data from the Centralized Credentials and Quality Assurance System, which provides education and training characteristics of physicians, were linked to patient encounter data from the MHS Data Repository. Physicians were included if they performed at least five bariatric surgeries over the study period. Patients were included if they had a diagnosis of obesity (body mass index > 30) and underwent a bariatric weight loss surgery. We calculated and summarized inpatient costs and complication rates across both surgeons and facilities using multivariable mixed-effects linear or logistic models. We used these models to calculate adjusted complication rates and average costs across both providers and hospitals to characterize variation in bariatric outcomes within the MHS. This study was considered exempt by the Uniformed Services University Institutional Review Board. Results: We find evidence of large variations in both complication rates and costs per admission. Overall, we found a 15.5% complication rate across the sample. When comparing averages across facilities, we find large variation in complications (49.4% coefficient of variation [CV]) and procedure costs (25.9% CV). Controlling for patient comorbidities, BMI, and year attenuates much of the variation (12.6% CV complications, 4.4% CV cost), but cannot completely explain differences across facilities. Our model suggests that complications cost 32% more than complication-free surgeries on average suggesting that quality improvement efforts could potentially yield large savings. Conclusions: We find large variations in complication rates even after controlling for patient health. Furthermore, surgical complications are a significant determinant of cost. Policymakers should target efforts to improve surgical quality across facilities and physicians. Surgical quality improvement initiatives could produce savings to the MHS through reduced complications and improved surgical readiness.
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