Decision aids for people facing health treatment or screening decisions.

By D. Stacey, France Légaré, N. Col, Carol L Bennett, Michael J Barry, Karen B Eden, M. Holmes-Rovner, H. Llewellyn-Thomas, A. Lyddiatt, R. Thomson and 2 more. Cochrane Database of Systematic Reviews, 2014

4,905 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/429a6c4ea382ae0a3d882774db6d98ba722cb478

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Citations in the corpus

Artificial Intelligence and Surgical Decision-Making (2019, background): “In a systematic review 44 including 31 043 patients facing screening or treatment decisions, patients exposed to decision aids felt more knowledgeable and played a more active role in the decision-making process.”
A systematic development process for patient decision aids (2013, methodology): “We obtained these descriptions from three main sources: a) published papers describing 86 PtDAs that had been evaluated in randomised controlled trials and included in the latest update of the Cochrane Collaboration review of decision aids [3]; b) linked papers cited in the trial reports that provid”
Knowledge translation of research findings (2012, background): “Stacey (following O’Connor, who prepared the first Cochrane review), defines them as interventions containing ‘detailed, specific, and personalized information to help people focus on options and outcomes for the purpose of decision making’ [55].”
Shared decision making: Concepts, evidence, and practice. (2015, background): “Indeed, the evidence so far shows a small increase in consultation time if time is invested in SDM [15,42].”
Knowledge is not power for patients: a systematic review and thematic synthesis of patient-reported barriers and facilitators to shared decision making. (2014, background): “To date, researchers appear to have ‘picked off’ this most prominent patient-reported barrier (‘‘treated’’ by decision aids), and have perhaps wrongly assumed that they can address this barrier in isolation from the many other interacting factors: as demonstrated by a focus on developing patient dec”
Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries (2017, unknown): “We intend to include these models in customized patient decision aids and use them for patient stratification in clinical trials (3, 7, 55).”
Which academic search systems are suitable for systematic reviews or meta‐analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources (2020, background): “The Cochrane Review of Stacey et al 68 is an example of a study that uses an elaborate query-based search strategy relying on “ AND, ” “ NOT, ” “ OR ” operators, database-specific field codes and controlled vocabularies.”
Increasing Vaccination: Putting Psychological Science Into Action (2017, background): “To help patients make informed healthcare choices, decision aids describe treatment options’ benefits and harms, often including numerical estimates of their likelihood or magnitude; guide people to clarify the value they place on those benefits and harms; and encourage people to make a choice (Stac”
Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers (2013, methodology): “Although PtDAs providing quantitative risk information have been shown to increase accuracy of risk perceptions [26] and to promote knowledge and agreement between values and choices [26], there are no trials examining different formats for representing the risk of outcomes over time.”
Engaging patients in decision-making and behavior change to promote prevention (2017, background): “conditions, tests, and treatment; have more realistic expectations about benefits and harms; are more likely to adhere to screening, diagnostic, or treatment plans; have reduced decisional conflict and anxiety; are less likely to receive tests or procedures which may be unnecessary; and, in some cas”