Publications

BACKGROUND: Appropriate antibiotic prescribing is an essential strategy to reduce the spread of antibiotic resistance. US prescribing practices have not been thoroughly characterized. We analyzed outpatient antibiotic prescribing data to identify where appropriate antibiotic prescribing interventions could have the most impact.

METHODS: Oral antibiotic prescriptions dispensed during 2011 were extracted from the IMS Health Xponent database. The number of prescriptions and census denominators were used to calculate prescribing rates. Prescription totals were calculated for each provider specialty. Regression modeling was used to examine the association between socioeconomic and population health factors and prescribing rates.

RESULTS: Healthcare providers prescribed 262.5 million courses of antibiotics in 2011(842 prescriptions per 1000 persons). Penicillins and macrolides were the most common antibiotic categories prescribed. The most commonly prescribed individual antibiotic agent was azithromycin. Family practitioners prescribed the most antibiotic courses (24%). The prescribing rate was higher in the South census region (931 prescriptions per 1000 persons) than in the West (647 prescriptions per 1000 persons; P < .001); this pattern was observed among all age groups, including children ≤ 2 and persons ≥ 65 years of age. Counties with a high proportion of obese persons, infants and children ≤ 2 years of age, prescribers per capita, and females were more likely to be high prescribing by multivariable analysis (adjusted odds ratio, >1.0).

CONCLUSIONS: Efforts to characterize antibiotic prescribing practices should focus on the South census region and family practitioners. Further understanding of the factors leading to high prescribing among key target populations will inform appropriate prescribing interventions.

Interprofessional education and patient care have been endorsed by accrediting bodies because interprofessional health care teams improve outcomes while decreasing health care costs. Thus, there has been an increased focus in educating health professional students collectively. The purpose of this study was to investigate the frequency of interprofessional authorship of original research published in high-impact critical care journals. Physicians constituted 76.2% of authors, followed by 10.5% PhDs and 3.0% nonphysician health professionals. From 2001 to 2011, the frequency of physician and nonphysician authors increased significantly ( P < .01 for both). Interprofessional authorship also increased, from 49.9% to 64.3% of published articles ( P < .0001). The enhanced attention on interprofessional education and patient care has translated into an increase in interprofessional authorship for original research articles published in critical care journals. However, collaboration appears to be primarily between physicians and PhDs, not other health care professionals.

This practice forum reports experiences with the development of a unit-specific antibiogram and planning for its implementation. Involvement of internal and external facilitators was a key strategy for addressing issues, including data limitations, coordination, and planning. These activities were incorporated and reported as part of the facility's broader antimicrobial stewardship program, and represent the first step in a set of planned projects to evaluate the impact of antibiograms on provider behavior and patient outcomes.

OBJECTIVE: Research studies show that social media may be valuable tools in the disease surveillance toolkit used for improving public health professionals' ability to detect disease outbreaks faster than traditional methods and to enhance outbreak response. A social media work group, consisting of surveillance practitioners, academic researchers, and other subject matter experts convened by the International Society for Disease Surveillance, conducted a systematic primary literature review using the PRISMA framework to identify research, published through February 2013, answering either of the following questions: Can social media be integrated into disease surveillance practice and outbreak management to support and improve public health?Can social media be used to effectively target populations, specifically vulnerable populations, to test an intervention and interact with a community to improve health outcomes?Examples of social media included are Facebook, MySpace, microblogs (e.g., Twitter), blogs, and discussion forums. For Question 1, 33 manuscripts were identified, starting in 2009 with topics on Influenza-like Illnesses (n = 15), Infectious Diseases (n = 6), Non-infectious Diseases (n = 4), Medication and Vaccines (n = 3), and Other (n = 5). For Question 2, 32 manuscripts were identified, the first in 2000 with topics on Health Risk Behaviors (n = 10), Infectious Diseases (n = 3), Non-infectious Diseases (n = 9), and Other (n = 10).

CONCLUSIONS: The literature on the use of social media to support public health practice has identified many gaps and biases in current knowledge. Despite the potential for success identified in exploratory studies, there are limited studies on interventions and little use of social media in practice. However, information gleaned from the articles demonstrates the effectiveness of social media in supporting and improving public health and in identifying target populations for intervention. A primary recommendation resulting from the review is to identify opportunities that enable public health professionals to integrate social media analytics into disease surveillance and outbreak management practice.

PURPOSE: The accuracy of the forecasts of drug expenditures in nonfederal hospitals and clinics published annually in the American Journal of Health-System Pharmacy (AJHP) relative to the accuracy of forecasts produced by the Centers for Medicare and Medicaid Services (CMS) was evaluated.

METHODS: AJHP-published forecasts of drug expenditure growth for nonfederal hospitals (for the years 2003 through 2013) and clinics (for the years 2004 through 2013) were compared with data on actual growth. Data on actual and projected growth published by CMS were analyzed for the years 2003 through 2012. The mean absolute error and directional accuracy of the forecasts published in AJHP for nonfederal hospitals and clinics and the CMS forecasts were determined and compared.

RESULTS: Actual spending growth was within the range of the forecast published in AJHP for 2 of 11 years for nonfederal hospitals and for 3 of 10 years for clinics; the forecasts for nonfederal hospitals and clinics were directionally accurate 27.3% and 60.0% of the time, respectively. The mean absolute errors of the AJHP-published drug expenditure forecasts for the nonfederal hospital and clinic sectors were 2.0 and 4.7 percentage points, respectively. The CMS forecasts of overall drug spending were directionally accurate 70% of the time, and the mean absolute error (2.2 percentage points) was not statistically different from that of either sector forecast published in AJHP.

CONCLUSION: The annual drug expenditure forecasts published in AJHP have been reasonably accurate for predicting growth in prescription expenditures when compared with other available drug expenditure forecasts.