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The effect of an interprofessional heart failure education program on hospital readmissions

Research Methods
Clarkson, J.N., Schaffer, S.D., & Clarkson, J.J. (2017).
Journal for Healthcare Quality, 39(2), 78-84.

Heart failure is an increasing concern to public health, affecting approximately 5.1 million Americans and costing the United States over $32 billion annually. Compounding the concern, recent research into the quality and efficiency of healthcare has exposed a significant problem of hospital readmissions for the heart failure population, with an estimated 25% of heart failure patients rehospitalized within 30 days of discharge.  This project focuses on an education-based strategy designed to decrease hospital readmissions for this at-risk population.  In particular, an interprofessional outpatient educational program (Heart Failure University) was initiated in 2013 to reduce healthcare costs and increase the quality of care for heart failure patients at a large private hospital in Northeast Florida.  A retrospective case control study was conducted to compare 30-day hospital readmissions of patients who attended Heart Failure University to patients who received standard education.  Results indicated a significant association between Heart Failure University attendance and reduced 30-day hospital readmissions for heart failure patients.  These findings corroborate with current research on transitional care interventions and emphasize the importance of interprofessional, educational-based disease management programs for the heart failure population.

The psychology of fandom: Understanding the etiology, motives, and implications of fanship.

Research Methods
Hirt, E.R., & Clarkson, J.J. (2010)
In L.R. Kahle & A. Close (Eds.), Consumer Behavior Knowledge for Effective Sports Marketing (pp. 59-85). New York: Routledge.

Time and again, we hear stories of and even witness firsthand the phenomenon of fandom. We know of those whose emotions rise and fall with their team‘s performance. We know of those who forgo clothing in cold weather, withstand monsoon rains, and simmer in the summertime heat for their teams. We know of those competing in multiple fantasy leagues and following their team‘s every move in cyberspace with faithful devotion. We also know of those who live their lives uninformed and unaware to the world of sports around them and yet still find their way into stadiums worldwide. These examples illustrate only a sample of the diverse yet complex range of behaviors exhibited by those we choose to label fans. For the most part, these complexities represent mere peculiarities that add intrigue to the experience of sports. For others, such as ourselves, these complexities spark fundamental questions about the psychological motives underlying fandom—and the market strategies intended to satisfy them.

When ab ≠ c – c: Published errors in the reports of single mediator models.

Research Methods
Petrocelli, J.V., Clarkson, J.J., Whitmire, M.B., & Moon, P.E. (2013)
Behavior Research Methods, 45, 595-601.

Accurate reports of mediation analyses are critical to the assessment of inferences related to causality, since these inferences are consequential for both the evaluation of previous research (e.g., meta-analyses) and the progression of future research. However, upon reexamination, approximately 15 % of published articles in psychology contain at least one incorrect statistical conclusion (Bakker & Wicherts, Behavior Research Methods, 43, 666–678 2011), disparities that beget the question of inaccuracy in mediation reports. To quantify this question of inaccuracy, articles reporting standard use of single-mediator models in three high-impact journals in personality and social psychology during 2011 were examined. More than 24 % of the 156 models coded failed an equivalence test (i.e., ab 0 c – c′), suggesting that one or more regression coefficients in mediation analyses are frequently misreported. The authors cite common sources of errors, provide recommendations for enhanced accuracy in reports of single-mediator models, and discuss implications for alternative methods.