Publications by authors named "Brendalynn Ens"

People’s values are an important driver in healthcare decision making. The certainty of an intervention’s effect on benefits and harms relies on two factors: the certainty in the measured effect on an outcome in terms of risk difference and the certainty in its value, also known as utility or importance. The GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) working group has proposed a set of questions to assess the risk of bias in a body of evidence from studies investigating how people value outcomes.

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Clinicians, patients, policy makers, funders, programme managers, regulators, and science communities invest considerable amounts of time and energy in influencing or making decisions at various levels, using systematic reviews, health technology assessments, guideline recommendations, coverage decisions, selection of essential medicines and diagnostics, quality assurance and improvement schemes, and policy and evidence briefs. The criteria and methods that these actors use in their work differ (eg, the role economic analysis has in decision making), but these methods frequently overlap and exist together. Under the aegis of WHO, we have brought together representatives of different areas to reconcile how the evidence that influences decisions is used across multiple health system decision levels.

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Background: Suboptimal prescribing and medications use is a problem for health systems globally. Systematic reviews are a comprehensive resource that can help guide evidence-informed decision-making and implementation of interventions addressing such issues; however, a barrier to the use of systematic reviews is their inaccessibility (due to both dispersion across journals and inaccessibility of content). Publicly available databases, such as Rx for Change, provide quick access to summaries of appraised systematic reviews of professional and consumer-oriented interventions to improve prescribing behaviour and appropriate medication use, and may help maximise the use of evidence to inform decisions.

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