Dawn Stacey1,2, France Légaré3, Krystina Lewis1, Michael J Barry4, Carol L Bennett5, Karen B Eden6, Margaret Holmes-Rovner7, Hilary Llewellyn-Thomas8, Anne Lyddiatt9, Richard Thomson10, Lyndal Trevena11. 1. School of Nursing, University of Ottawa, 451 Smyth Road, Ottawa, ON, Canada. 2. Centre for Practice Changing Research, Ottawa Hospital Research Institute, 501 Smyth Rd, Ottawa, ON, Canada, K1H 8L6. 3. Population Health and Optimal Health Practices Research Axis, CHU de Québec Research Center, Université Laval, 10 Rue de l'Espinay, D6-727, Québec City, QC, Canada, G1L 3L5. 4. Informed Medical Decisions Foundation, Boston, MA, USA. 5. Clinical Epidemiology Program, Ottawa Hospital Research Institute, Administrative Services Building, Room 2-013, 1053 Carling Avenue, Ottawa, ON, Canada, K1Y 4E9. 6. Department of Medical Informatics and Clinical Epidemiology, Oregon Health Sciences University, BICC 535, 3181 S.W. Sam Jackson Park Road, Portland, Oregon, USA, 97239-3098. 7. Center for Ethics and Humanities in the Life Sciences, Michigan State University College of Human Medicine, East Fee Road, 956 Fee Road Rm C203, East Lansing, Michigan, USA, 48824-1316. 8. The Dartmouth Center for Health Policy & Clinical Practice, The Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, New Hampshire, USA, 03755. 9. No affiliation, 28 Greenwood Road, Ingersoll, ON, Canada, N5C 3N1. 10. Institute of Health and Society, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, UK, NE2 4AX. 11. The University of Sydney, Room 322, Edward Ford Building (A27), Sydney, NSW, Australia, 2006.
Abstract
BACKGROUND: Decision aids are interventions that support patients by making their decisions explicit, providing information about options and associated benefits/harms, and helping clarify congruence between decisions and personal values. OBJECTIVES: To assess the effects of decision aids in people facing treatment or screening decisions. SEARCH METHODS: Updated search (2012 to April 2015) in CENTRAL; MEDLINE; Embase; PsycINFO; and grey literature; includes CINAHL to September 2008. SELECTION CRITERIA: We included published randomized controlled trials comparing decision aids to usual care and/or alternative interventions. For this update, we excluded studies comparing detailed versus simple decision aids. DATA COLLECTION AND ANALYSIS: Two reviewers independently screened citations for inclusion, extracted data, and assessed risk of bias. Primary outcomes, based on the International Patient Decision Aid Standards (IPDAS), were attributes related to the choice made and the decision-making process.Secondary outcomes were behavioural, health, and health system effects.We pooled results using mean differences (MDs) and risk ratios (RRs), applying a random-effects model. We conducted a subgroup analysis of studies that used the patient decision aid to prepare for the consultation and of those that used it in the consultation. We used GRADE to assess the strength of the evidence. MAIN RESULTS: We included 105 studies involving 31,043 participants. This update added 18 studies and removed 28 previously included studies comparing detailed versus simple decision aids. During the 'Risk of bias' assessment, we rated two items (selective reporting and blinding of participants/personnel) as mostly unclear due to inadequate reporting. Twelve of 105 studies were at high risk of bias.With regard to the attributes of the choice made, decision aids increased participants' knowledge (MD 13.27/100; 95% confidence interval (CI) 11.32 to 15.23; 52 studies; N = 13,316; high-quality evidence), accuracy of risk perceptions (RR 2.10; 95% CI 1.66 to 2.66; 17 studies; N = 5096; moderate-quality evidence), and congruency between informed values and care choices (RR 2.06; 95% CI 1.46 to 2.91; 10 studies; N = 4626; low-quality evidence) compared to usual care.Regarding attributes related to the decision-making process and compared to usual care, decision aids decreased decisional conflict related to feeling uninformed (MD -9.28/100; 95% CI -12.20 to -6.36; 27 studies; N = 5707; high-quality evidence), indecision about personal values (MD -8.81/100; 95% CI -11.99 to -5.63; 23 studies; N = 5068; high-quality evidence), and the proportion of people who were passive in decision making (RR 0.68; 95% CI 0.55 to 0.83; 16 studies; N = 3180; moderate-quality evidence).Decision aids reduced the proportion of undecided participants and appeared to have a positive effect on patient-clinician communication. Moreover, those exposed to a decision aid were either equally or more satisfied with their decision, the decision-making process, and/or the preparation for decision making compared to usual care.Decision aids also reduced the number of people choosing major elective invasive surgery in favour of more conservative options (RR 0.86; 95% CI 0.75 to 1.00; 18 studies; N = 3844), but this reduction reached statistical significance only after removing the study on prophylactic mastectomy for breast cancer gene carriers (RR 0.84; 95% CI 0.73 to 0.97; 17 studies; N = 3108). Compared to usual care, decision aids reduced the number of people choosing prostate-specific antigen screening (RR 0.88; 95% CI 0.80 to 0.98; 10 studies; N = 3996) and increased those choosing to start new medications for diabetes (RR 1.65; 95% CI 1.06 to 2.56; 4 studies; N = 447). For other testing and screening choices, mostly there were no differences between decision aids and usual care.The median effect of decision aids on length of consultation was 2.6 minutes longer (24 versus 21; 7.5% increase). The costs of the decision aid group were lower in two studies and similar to usual care in four studies. People receiving decision aids do not appear to differ from those receiving usual care in terms of anxiety, general health outcomes, and condition-specific health outcomes. Studies did not report adverse events associated with the use of decision aids.In subgroup analysis, we compared results for decision aids used in preparation for the consultation versus during the consultation, finding similar improvements in pooled analysis for knowledge and accurate risk perception. For other outcomes, we could not conduct formal subgroup analyses because there were too few studies in each subgroup. AUTHORS' CONCLUSIONS: Compared to usual care across a wide variety of decision contexts, people exposed to decision aids feel more knowledgeable, better informed, and clearer about their values, and they probably have a more active role in decision making and more accurate risk perceptions. There is growing evidence that decision aids may improve values-congruent choices. There are no adverse effects on health outcomes or satisfaction. New for this updated is evidence indicating improved knowledge and accurate risk perceptions when decision aids are used either within or in preparation for the consultation. Further research is needed on the effects on adherence with the chosen option, cost-effectiveness, and use with lower literacy populations.
BACKGROUND: Decision aids are interventions that support patients by making their decisions explicit, providing information about options and associated benefits/harms, and helping clarify congruence between decisions and personal values. OBJECTIVES: To assess the effects of decision aids in people facing treatment or screening decisions. SEARCH METHODS: Updated search (2012 to April 2015) in CENTRAL; MEDLINE; Embase; PsycINFO; and grey literature; includes CINAHL to September 2008. SELECTION CRITERIA: We included published randomized controlled trials comparing decision aids to usual care and/or alternative interventions. For this update, we excluded studies comparing detailed versus simple decision aids. DATA COLLECTION AND ANALYSIS: Two reviewers independently screened citations for inclusion, extracted data, and assessed risk of bias. Primary outcomes, based on the International Patient Decision Aid Standards (IPDAS), were attributes related to the choice made and the decision-making process.Secondary outcomes were behavioural, health, and health system effects.We pooled results using mean differences (MDs) and risk ratios (RRs), applying a random-effects model. We conducted a subgroup analysis of studies that used the patient decision aid to prepare for the consultation and of those that used it in the consultation. We used GRADE to assess the strength of the evidence. MAIN RESULTS: We included 105 studies involving 31,043 participants. This update added 18 studies and removed 28 previously included studies comparing detailed versus simple decision aids. During the 'Risk of bias' assessment, we rated two items (selective reporting and blinding of participants/personnel) as mostly unclear due to inadequate reporting. Twelve of 105 studies were at high risk of bias.With regard to the attributes of the choice made, decision aids increased participants' knowledge (MD 13.27/100; 95% confidence interval (CI) 11.32 to 15.23; 52 studies; N = 13,316; high-quality evidence), accuracy of risk perceptions (RR 2.10; 95% CI 1.66 to 2.66; 17 studies; N = 5096; moderate-quality evidence), and congruency between informed values and care choices (RR 2.06; 95% CI 1.46 to 2.91; 10 studies; N = 4626; low-quality evidence) compared to usual care.Regarding attributes related to the decision-making process and compared to usual care, decision aids decreased decisional conflict related to feeling uninformed (MD -9.28/100; 95% CI -12.20 to -6.36; 27 studies; N = 5707; high-quality evidence), indecision about personal values (MD -8.81/100; 95% CI -11.99 to -5.63; 23 studies; N = 5068; high-quality evidence), and the proportion of people who were passive in decision making (RR 0.68; 95% CI 0.55 to 0.83; 16 studies; N = 3180; moderate-quality evidence).Decision aids reduced the proportion of undecided participants and appeared to have a positive effect on patient-clinician communication. Moreover, those exposed to a decision aid were either equally or more satisfied with their decision, the decision-making process, and/or the preparation for decision making compared to usual care.Decision aids also reduced the number of people choosing major elective invasive surgery in favour of more conservative options (RR 0.86; 95% CI 0.75 to 1.00; 18 studies; N = 3844), but this reduction reached statistical significance only after removing the study on prophylactic mastectomy for breast cancer gene carriers (RR 0.84; 95% CI 0.73 to 0.97; 17 studies; N = 3108). Compared to usual care, decision aids reduced the number of people choosing prostate-specific antigen screening (RR 0.88; 95% CI 0.80 to 0.98; 10 studies; N = 3996) and increased those choosing to start new medications for diabetes (RR 1.65; 95% CI 1.06 to 2.56; 4 studies; N = 447). For other testing and screening choices, mostly there were no differences between decision aids and usual care.The median effect of decision aids on length of consultation was 2.6 minutes longer (24 versus 21; 7.5% increase). The costs of the decision aid group were lower in two studies and similar to usual care in four studies. People receiving decision aids do not appear to differ from those receiving usual care in terms of anxiety, general health outcomes, and condition-specific health outcomes. Studies did not report adverse events associated with the use of decision aids.In subgroup analysis, we compared results for decision aids used in preparation for the consultation versus during the consultation, finding similar improvements in pooled analysis for knowledge and accurate risk perception. For other outcomes, we could not conduct formal subgroup analyses because there were too few studies in each subgroup. AUTHORS' CONCLUSIONS: Compared to usual care across a wide variety of decision contexts, people exposed to decision aids feel more knowledgeable, better informed, and clearer about their values, and they probably have a more active role in decision making and more accurate risk perceptions. There is growing evidence that decision aids may improve values-congruent choices. There are no adverse effects on health outcomes or satisfaction. New for this updated is evidence indicating improved knowledge and accurate risk perceptions when decision aids are used either within or in preparation for the consultation. Further research is needed on the effects on adherence with the chosen option, cost-effectiveness, and use with lower literacy populations.
Authors: Adam B Weiner; Kyle P Tsai; Mary-Kate Keeter; David E Victorson; Edward M Schaeffer; William J Catalona; Shilajit D Kundu Journal: J Urol Date: 2018-05-29 Impact factor: 7.450
Authors: Claudia L Zeballos-Palacios; Ian G Hargraves; Peter A Noseworthy; Megan E Branda; Marleen Kunneman; Bruce Burnett; Michael R Gionfriddo; Christopher J McLeod; Haeshik Gorr; Juan Pablo Brito; Victor M Montori Journal: Mayo Clin Proc Date: 2019-01-11 Impact factor: 7.616
Authors: Jennifer L Moore; Kirsten Potter; Kathleen Blankshain; Sandra L Kaplan; Linda C OʼDwyer; Jane E Sullivan Journal: J Neurol Phys Ther Date: 2018-07 Impact factor: 3.649
Authors: Karine Toupin-April; Jennifer L Barton; Liana Fraenkel; Alexa Meara; Linda C Li; Peter Brooks; Maarten de Wit; Dawn Stacey; France Légaré; Beverley Shea; Anne Lyddiatt; Cathie Hofstetter; Robin Christensen; Marieke Scholte Voshaar; Maria E Suarez-Almazor; Annelies Boonen; Tanya Meade; Lyn March; Janet Elizabeth Jull; Willemina Campbell; Rieke Alten; Suvi Karuranga; Esi M Morgan; Ayano Kelly; Jessica Kaufman; Sophie Hill; Lara J Maxwell; Dorcas Beaton; Yasser El-Miedany; Shikha Mittoo; Susan J Bartlett; Jasvinder A Singh; Peter S Tugwell Journal: J Rheumatol Date: 2019-02-01 Impact factor: 4.666
Authors: Kimberly A Fisher; Andy S L Tan; Daniel D Matlock; Barry Saver; Kathleen M Mazor; Arwen H Pieterse Journal: Patient Educ Couns Date: 2018-08-06
Authors: Carolien Wentink; Marloes J Huijbers; Peter Lbj Lucassen; Annoek van der Gouw; Cornelis Kramers; Jan Spijker; Anne Em Speckens Journal: Br J Gen Pract Date: 2019-10-31 Impact factor: 5.386
Authors: Melanie J Davies; David A D'Alessio; Judith Fradkin; Walter N Kernan; Chantal Mathieu; Geltrude Mingrone; Peter Rossing; Apostolos Tsapas; Deborah J Wexler; John B Buse Journal: Diabetologia Date: 2018-12 Impact factor: 10.122