Publications by authors named "William M Goodman"

Background: Breastfeeding rates are suboptimal, putting mothers and their infants' health at risk. One modifiable risk factor amenable to intervention is partner support. Having women work as a team with their co-parents to meet their breastfeeding goals has been found to improve breastfeeding outcomes.

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Objective: Traditionally breastfeeding education programs target mothers solely. The objective of this study was to design and pilot test an interactive eHealth breastfeeding co-parenting resource developed to target both mothers and fathers. eHealth resources provide an accessible and engaging format on which to educate parents and assist them in meeting their breastfeeding goals.

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Objective: This four-stage study culminated in a game interface designed to calibrate people's perceptions of net risk (combining frequency and severity), in contexts where risks are elevated from their accepted, "typical" values, as when avalanche threats elevate the risks of "skiing" above levels skiers normally accept. Risk prompts are displayed dynamically, in naturalistic language, and not, for example, as static displays of dollar amounts or probabilities. Individual differences are measured.

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While the "social determinants of health" view compels us to explore how social structures shape health outcomes, it often ignores the role individual agency plays. In contrast, approaches that focus on individual choice and personal responsibility for health often overlook the influence of social structures. Amartya Sen's "capabilities" framework and its derivative the "health capabilities" (HC) approach attempts to accommodate both points of view, acknowledging that individuals function under social conditions over which they have little control, while also acting as agents in their own health and well-being.

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Patients' risks from medication errors are widely acknowledged. Yet not all errors, if they occur, have the same risks for severe consequences. Facing resource constraints, policy makers could prioritize factors having the greatest severe-outcome risks.

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Applying simulations in healthcare practice and education is increasingly accepted, yet a number of recent authors have questioned the effectiveness of these technologies. The contention is that while high-fidelity simulators may contribute to educational gains, their gains compared to low-tech alternatives are often "not significant." That assessment, however, and the evidence it is based on, may be a consequence of asking the wrong questions.

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This experimental study examined whether the use of clinical simulation in nursing education could help reduce medication errors. Fifty-four student volunteers were randomly assigned to an experimental (treatment) group (24 students) or a clinical control group (30 students). The treatment replaced some early-term clinical placement hours with a simulated clinical experience.

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