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[11] D.J. Mazur & D.H. Hickam, Patients’ preferences for risk disclosure and role in decision making for invasive medical procedures. Journal of General Internal Medicine 12 (1997), 114-117. [12] R.E.D. Lamers et al. Patients are dissatisfied with information provision: Perceived information provision and quality of life in prostate cancer patients. Psycho-Oncology 25 (2016), 633-640. [13] M. Slade, Implementing shared decision making in routine mental health care, World Psychiatry 16 (2017), 146-153. [14] M.J. Barry & S. Edeman-Levitan, Shared decision making - the pinnacle of patient-centered care, New England Journal of Medicine 366 (2012), 780-781. [15] Alston et al., Communicating with Patients on Health Care Evidence, Institute of Medicine, Washington, 2012. [16] D. Stacey et al., Decision aids for people facing health treatment or screening decisions. Cochrane Database of Systematic Reviews 4 (2017). [17] M. Kaptein, Adaptive persuasive systems: A study of tailored persuasive text messages to reduce snacking, ACM Transactions on Interactive Intelligent Systems (TiiS) 2, 10. [18] S. Bolle, Online health information tool effectiveness for older patients: A systematic review of the literature. Journal of Health Communication 20 (2015), 1067-1083. [19] R. Vromans et al., Communicating personalized cancer statistics: Challenges and opportunities, Abstract from Etmaal van de Communicatiewetenschap (2019). [20] M. de Vries et al., Combining deliberation and intuition in patient decision support. Patient Education and Counseling 91 (2013), 154-160. [21] S. Plous, The Psychology of Judgment and Decision Making, McGraw-Hill, New York, 1993. [22] F.E. Stubenrouch et al., A web-based application to communicate benefits and risks of surgical treatments. Surgical Technology International 30 (2017), 31-37. [23] I.A. Scott & G.H. Guyatt, Cautionary tales in the interpretation of clinical studies involving older persons, Archives of Internal Medicine 170 (2010), 587-595. [24] A. Coulter et al., (2013). A systematic development process for patient decision aids. BMC Medical Informatics and Decision Making 13 (2013), S2. [25] A.H. Pieterse et al., Theory-informed design of values clarification methods: A cognitive psychological perspective on patient treatment decision making, Social Science & Medicine 77 (2013), 156-163. [26] A.H. Pieterse & M. De Vries, On the suitability of fast and frugal heuristics for designing values clarification methods in patient decision aids: A critical analysis. Health Expectations 16 (2013), e73- e79. [27] M. Cuypers, Uptake and usage of an online prostate cancer treatment decision aid in Dutch clinical practice: A quantitative analysis from the Prostate Cancer Patient Centered Care trial. Health Informatics Journal (2018), 1460458218779110. [28] D.L. Frosch et al., Authoritarian physicians and patients’ fear of being labeled “difficult” among key obstacles to shared decision making, Health Affairs 31 (2012), 1030-1038. [29] F. Légaré et al., Barriers and facilitators to implementing shared decision-making in clinical practice: Update of a systematic review of health professionals’ perceptions, Patient Education and Counseling, 73 (2008), 526-535. [30] J. Jansen et al. Too much medicine in older people? Deprescribing through shared decision making, BMJ, 353 (2016), i2893. [31] M.J. Barry et al., Shared decision making: Staying focused on the ultimate goal, Catalyst NEJM.(2018). M.deVriesetal. /FosteringSharedDecisionMakingwithHealth Informatics Interventions 121
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Applied Interdisciplinary Theory in Health Informatics Knowledge Base for Practitioners
Titel
Applied Interdisciplinary Theory in Health Informatics
Untertitel
Knowledge Base for Practitioners
Autoren
Philip Scott
Nicolette de Keizer
Andrew Georgiou
Verlag
IOS Press BV
Ort
Amsterdam
Datum
2019
Sprache
englisch
Lizenz
CC BY-NC 4.0
ISBN
978-1-61499-991-1
Abmessungen
16.0 x 24.0 cm
Seiten
242
Kategorie
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Applied Interdisciplinary Theory in Health Informatics