Journal of investigative medicine : the official publication of the American Federation for Clinical Research
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Healthcare services and the production of healthcare knowledge are increasingly dependent on highly functioning, multidisciplinary teams, requiring greater awareness of individuals' readiness to collaborate in translational science teams. Yet, there is no comprehensive tool of individual motivations and threats to collaboration that can guide preparation of individuals for work on well-functioning teams. This prospective pilot study evaluated the preliminary psychometric properties of the Motivation Assessment for Team Readiness, Integration, and Collaboration (MATRICx). ⋯ In contrast, the more experienced respondents were concerned with issues that reflected a collective purpose, more typical of collaborative alliances. While these different types of alliances are usually described as representing varying aspects along a continuum, our findings suggest that collaboration might be better thought of as a qualitatively different state than cooperation or coordination. These results need to be replicated in larger samples, but the findings have implications for the development and design of educational interventions that aim to ready scientists and clinicians for greater interdisciplinary work.
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A threshold probability value of 'p≤0.05' is commonly used in clinical investigations to indicate statistical significance. To allow clinicians to better understand evidence generated by research studies, this review defines the p value, summarizes the historical origins of the p value approach to hypothesis testing, describes various applications of p≤0.05 in the context of clinical research and discusses the emergence of p≤5×10(-8) and other values as thresholds for genomic statistical analyses. Corresponding issues include a conceptual approach of evaluating whether data do not conform to a null hypothesis (ie, no exposure-outcome association). ⋯ Also, in contemporary genomic studies, a threshold of p≤10(-8) has been endorsed as a boundary for statistical significance when analyzing numerous genetic comparisons for each participant. A value of p≤0.05, or other thresholds, should not be employed reflexively to determine whether a clinical research investigation is trustworthy from a scientific perspective. Rather, and in parallel with conceptual issues of validity and generalizability, quantitative results should be interpreted using a combined assessment of strength of association, p values, CIs, and sample size.