Browsing by Subject "effectiveness"

Now showing 1 - 2 of 2
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    Utilizing an integrated infrastructure for outcomes research: a systematic review.
    (Health Libraries Group, 2016-03) Dixon, Brian E.; Whipple, Elizabeth C.; Lajiness, John M; Murray, Michael D.
    OBJECTIVE: To explore the ability of an integrated health information infrastructure to support outcomes research. METHODS: A systematic review of articles published from 1983 to 2012 by Regenstrief Institute investigators using data from an integrated electronic health record infrastructure involving multiple provider organisations was performed. Articles were independently assessed and classified by study design, disease and other metadata including bibliometrics. RESULTS: A total of 190 articles were identified. Diseases included cognitive, (16) cardiovascular, (16) infectious, (15) chronic illness (14) and cancer (12). Publications grew steadily (26 in the first decade vs. 100 in the last) as did the number of investigators (from 15 in 1983 to 62 in 2012). The proportion of articles involving non-Regenstrief authors also expanded from 54% in the first decade to 72% in the last decade. During this period, the infrastructure grew from a single health system into a health information exchange network covering more than 6 million patients. Analysis of journal and article metrics reveals high impact for clinical trials and comparative effectiveness research studies that utilised data available in the integrated infrastructure. DISCUSSION: Integrated information infrastructures support growth in high quality observational studies and diverse collaboration consistent with the goals for the learning health system. More recent publications demonstrate growing external collaborations facilitated by greater access to the infrastructure and improved opportunities to study broader disease and health outcomes. CONCLUSIONS: Integrated information infrastructures can stimulate learning from electronic data captured during routine clinical care but require time and collaboration to reach full potential.
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    What are the odds? A preliminary test of a theoretical model of sports team effectiveness
    (2018-04-01) Wolfarth, Jacob Dale; Devine, Dennis
    This study served as a preliminary test of the Sports Team Effectiveness (STE) Model developed by Devine, Lindsey, and Wolfarth in 2017. The purpose of this study was to examine the extent to which several variables help explain winning in professional basketball. The value of the STE model in predicting the winner of basketball games was compared to already-existing predictors of winning. Archival data from 435 games from the 2016-2017 season of the National Basketball Association (NBA) were examined. Bivariate correlations between each antecedent of team effectiveness and team effectiveness were computed. Secondly, multiple logistic regression was used to examine the extent to which the antecedents predict winning while controlling for the other antecedents. Finally, hierarchical logistic regression was used to examine the extent to which the STE model can predict the winner of the game above and beyond game location and opposition quality. The variables of game location, opposition quality, role performance, and number of contested shots taken by the opposing team were significantly related to winning. Overall, the STE model did significantly reduce model error above and beyond game location and opposition quality, giving empirical support to the theoretical model.