Interventions for increasing the use of shared decision making by healthcare professionals
Open accessAbstract
BACKGROUND: Shared decision making (SDM) is a process by which a healthcare choice is made by the patient, significant others, or both with one or more healthcare professionals. However, it has not yet been widely adopted in practice. This is the second update of this Cochrane review. OBJECTIVES: To determine the effectiveness of interventions for increasing the use of SDM by healthcare professionals. We considered interventions targeting patients, interventions targeting healthcare professionals, and interventions targeting both. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase and five other databases on 15 June 2017. We also searched two clinical trials registries and proceedings of relevant conferences. We checked reference lists and contacted study authors to identify additional studies. SELECTION CRITERIA: Randomized and non-randomized trials, controlled before-after studies and interrupted time series studies evaluating interventions for increasing the use of SDM in which the primary outcomes were evaluated using observer-based or patient-reported measures. DATA COLLECTION AND ANALYSIS: We used standard methodological procedures expected by Cochrane.We used GRADE to assess the certainty of the evidence. MAIN RESULTS: We included 87 studies (45,641 patients and 3113 healthcare professionals) conducted mainly in the USA, Germany, Canada and the Netherlands. Risk of bias was high or unclear for protection against contamination, low for differences in the baseline characteristics of patients, and unclear for other domains.Forty-four studies evaluated interventions targeting patients. They included decision aids, patient activation, question prompt lists and training for patients among others and were administered alone (single intervention) or in combination (multifaceted intervention). The certainty of the evidence was very low. It is uncertain if interventions targeting patients when compared with usual care increase SDM whether measured by observation (standardized mean difference (SMD) 0.54, 95% confidence interval (CI) -0.13 to 1.22; 4 studies; N = 424) or reported by patients (SMD 0.32, 95% CI 0.16 to 0.48; 9 studies; N = 1386; risk difference (RD) -0.09, 95% CI -0.19 to 0.01; 6 studies; N = 754), reduce decision regret (SMD -0.10, 95% CI -0.39 to 0.19; 1 study; N = 212), improve physical (SMD 0.00, 95% CI -0.36 to 0.36; 1 study; N = 116) or mental health-related quality of life (QOL) (SMD 0.10, 95% CI -0.26 to 0.46; 1 study; N = 116), affect consultation length (SMD 0.10, 95% CI -0.39 to 0.58; 2 studies; N = 224) or cost (SMD 0.82, 95% CI 0.42 to 1.22; 1 study; N = 105).It is uncertain if interventions targeting patients when compared with interventions of the same type increase SDM whether measured by observation (SMD 0.88, 95% CI 0.39 to 1.37; 3 studies; N = 271) or reported by patients (SMD 0.03, 95% CI -0.18 to 0.24; 11 studies; N = 1906); (RD 0.03, 95% CI -0.02 to 0.08; 10 studies; N = 2272); affect consultation length (SMD -0.65, 95% CI -1.29 to -0.00; 1 study; N = 39) or costs. No data were reported for decision regret, physical or mental health-related QOL.Fifteen studies evaluated interventions targeting healthcare professionals. They included educational meetings, educational material, educational outreach visits and reminders among others. The certainty of evidence is very low. It is uncertain if these interventions when compared with usual care increase SDM whether measured by observation (SMD 0.70, 95% CI 0.21 to 1.19; 6 studies; N = 479) or reported by patients (SMD 0.03, 95% CI -0.15 to 0.20; 5 studies; N = 5772); (RD 0.01, 95%C: -0.03 to 0.06; 2 studies; N = 6303); reduce decision regret (SMD 0.29, 95% CI 0.07 to 0.51; 1 study; N = 326), affect consultation length (SMD 0.51, 95% CI 0.21 to 0.81; 1 study, N = 175), cost (no data available) or physical health-related QOL (SMD 0.16, 95% CI -0.05 to 0.36; 1 study; N = 359). Mental health-related QOL may slightly improve (SMD 0.28, 95% CI 0.07 to 0.49; 1 study, N = 359; low-certainty evidence).It is uncertain if interventions targeting healthcare professionals compared to interventions of the same type increase SDM whether measured by observation (SMD -0.30, 95% CI -1.19 to 0.59; 1 study; N = 20) or reported by patients (SMD 0.24, 95% CI -0.10 to 0.58; 2 studies; N = 1459) as the certainty of the evidence is very low. There was insufficient information to determine the effect on decision regret, physical or mental health-related QOL, consultation length or costs.Twenty-eight studies targeted both patients and healthcare professionals. The interventions used a combination of patient-mediated and healthcare professional directed interventions. Based on low certainty evidence, it is uncertain whether these interventions, when compared with usual care, increase SDM whether measured by observation (SMD 1.10, 95% CI 0.42 to 1.79; 6 studies; N = 1270) or reported by patients (SMD 0.13, 95% CI -0.02 to 0.28; 7 studies; N = 1479); (RD -0.01,
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We identified six RCTs that evaluated educational interventions for critically ill patients and their families.
“We identified six RCTs that evaluated educational interventions for critically ill patients and their families (583-588).”
From Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock 2021. (2021) · cites this paper as [587]
The Background identifies this paper as a review of 87 studies, not one of the six RCTs the citing sentence says it identified. The Results discuss educational interventions and include a family-engagement trial, but do not describe this paper as an RCT of educational interventions for critically ill patients and their families. Page numbers were unavailable in our copy. (LLM, conf=0.88)
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Experimental — accuracy not yet measuredBy simulating scenarios that mirror real-life clinical decision-making processes, and through reading the multi-agent conversations, clinicians can be made aware of potential cognitive biases and how to correct them, facilitating learning in a controlled, educational environment.
“By simulating scenarios that mirror real-life clinical decision-making processes, and through reading the multi-agent conversations, clinicians can be made aware of potential cognitive biases and how to correct them. This facilitates learning in a controlled, educational environment [25,26].”
From Mitigating cognitive biases in clinical decision-making through multi-agent conversations using large language models: simulation study (2024) · cites this paper as [25]
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Experimental — accuracy not yet measuredTwo systematic reviews and meta-analyses do not show a difference in mortality between patients who receive continuous renal replacement therapy (CRRT) versus intermittent hemodialysis (IHD).
“Two systematic reviews and meta-analyses (501, 502) summarized the total body of evidence: they do not show a difference in mortality between patients who receive continuous (CRRT) versus intermittent hemodialysis (IHD).”
From Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock 2021. (2021) · cites this paper as [501]
The Results passages compare shared-decision-making interventions, not mortality after continuous renal replacement therapy versus intermittent hemodialysis. Searches for CRRT, IHD, renal replacement therapy, mortality, and hemodialysis found no passage in our copy addressing that comparison. The copy is truncated, so the claim cannot be verified from it. (LLM, conf=0.74)
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Satisfaction of Patients and Primary Care Physicians With Shared Decision Making
Hirsch, O., Keller, H., Albohn-Kühne, C., Krones, T., & Donner‐Banzhoff, N. (2010) · Evaluation & the Health Professions · doi:10.1177/0163278710376662 · Cited by 31 · see citing works
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Interventions for improving the adoption of shared decision making by healthcare professionals
Légaré, F., Ratté, S., Stacey, D., Kryworuchko, J., Gravel, K., Turcot, L., & Graham, I. D. (2007) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006732 · Cited by 30 · see citing works
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Körner, M., Wirtz, M. A., Michaelis, M., Ehrhardt, H., Steger, A.-K., Zerpies, E., & Bengel, J. (2013) · Clinical Rehabilitation · doi:10.1177/0269215513494874 · Cited by 28 · see citing works
Jouni, H., Haddad, R. A., Marroush, T. S., Brown, S.-A. N., Kruisselbrink, T., Austin, E. E., Shameer, K., Behnken, E., Chaudhry, R., Montori, V. M., et al. (2016) · Journal of Investigative Medicine · doi:10.1136/jim-2016-000318 · Cited by 28 · see citing works
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Translating research into practice: A German sickness fund supporting patient participation
Straub, C., Nebling, T., & Müller, H. (2008) · Patient Education and Counseling · doi:10.1016/j.pec.2008.07.019 · Cited by 23 · see citing works
Maindal, H. T., Sandbæk, A., Kirkevold, M., & Lauritzen, T. (2011) · Scandinavian Journal of Public Health · doi:10.1177/1403494811402721 · Cited by 23 · see citing works
Missed opportunity? Caregiver participation in the clinical encounter. A videographic analysis
Boehmer, K. R., Egginton, J. S., Branda, M. E., Kryworuchko, J., Bodde, A. E., Montori, V. M., & LeBlanc, A. (2014) · Patient Education and Counseling · doi:10.1016/j.pec.2014.05.016 · Cited by 22 · see citing works
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McCusker, J., Jones, J. M., Li, M., Faria, R., Yaffe⃰, M. J., Lambert, S., Ciampi, A., Belzile, É., & de Raad, M. (2021) · Journal of Clinical Oncology · doi:10.1200/jco.20.01802 · Cited by 22 · see citing works
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Shared Decision Making in Prostate-Specific Antigen Testing
Landrey, A. R., Matlock, D. D., Andrews, L., Bronsert, M. R., & Denberg, T. (2012) · Journal of Primary Care & Community Health · doi:10.1177/2150131912447074 · Cited by 21 · see citing works
Maranda, M. J., Deen, D., Elshafey, S., Herrera, M., & Gold, M. R. (2014) · Journal of Health Care for the Poor and Underserved · doi:10.1353/hpu.2014.0110 · Cited by 20 · see citing works
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Can Participation in Documentation Influence Experiences of Involvement in Care Decision-Making?
Vestala, H., & Frisman, G. H. (2013) · The Open Nursing Journal · doi:10.2174/1874434620130516002 · Cited by 19 · see citing works
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Koekkoek, B., van Meijel, B., Schene, A. H., Smit, A., Kaasenbrood, A., & Hutschemaekers, G. J. M. (2011) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2011.11.003 · Cited by 18 · see citing works
Kupke, J., Wicht, M. J., Stützer, H., Derman, S. H. M., Lichtenstein, N., & Noack, M. J. (2012) · European Journal Of Dental Education · doi:10.1111/eje.12002 · Cited by 16 · see citing works
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Translating Medical Evidence to Promote Informed Health Care Decisions
Mccormack, L. A., Treiman, K., Bann, C., Williams-Piehota, P. A., Driscoll, D., Poehlman, J. A., Soloe, C. S., Lohr, K. N., Sheridan, S., Golin, C. E., et al. (2011) · Health Services Research · doi:10.1111/j.1475-6773.2011.01248.x · Cited by 13 · see citing works
Maindal, H. T., Carlsen, A. H., Lauritzen, T., Sandbæk, A., & Simmons, R. K. (2014) · Diabetic Medicine · doi:10.1111/dme.12440 · Cited by 13 · see citing works
Using m-health tools to reduce the misuse of opioid pain relievers
Omaki, E. C., Castillo, R. C., Eden, K., Davis, S., McDonald, E. M., Murtaza, U. I., & GIELEN, A. C. (2017) · Injury Prevention · doi:10.1136/injuryprev-2017-042319 · Cited by 9 · see citing works
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Research works printed but not linked: 9
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Shared decision making: What is the work?
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Shared decision making and physical therapy: What, when, how, and why?
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What are women’s mode of birth preferences and why? A systematic scoping review
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2020 AHA/ACC guideline for the diagnosis and treatment of patients with hypertrophic cardiomyopathy
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Müller, E., Strukava, A., Scholl, I., Härter, M. C., Diouf, N. T., Légaré, F., & Buchholz, A. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-026488 · Cited by 81 · see citing works
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“This facilitates learning in a controlled, educational environment [25,26].”
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Towards a taxonomy of behavior change techniques for promoting shared decision making
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Self-citation“I’m Putting My Trust in Their Hands”
Golden, S. E., Ono, S. S., Thakurta, S., Wiener, R. S., Iaccarino, J. M., Melzer, A. C., Datta, S., & Slatore, C. G. (2020) · CHEST Journal · doi:10.1016/j.chest.2020.02.072 · Cited by 51 · see citing works
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Shared Decision-Making for a Dialysis Modality
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- Authors
- Légaré, F., Adekpedjou, R., Stacey, D., Turcotte, S., Kryworuchko, J., Graham, I. D., Lyddiatt, A., Politi, M. C., Thomson, R., Elwyn, G., & Donner-Banzhoff, N.
- Affiliations
- Université Laval (CA)
- University of Ottawa (CA)
- Hôpital Saint-François d'Assise (CA)
- University of British Columbia (CA)
- No affiliation; 28 Greenwood Road Ingersoll ON Canada N5C 3N1
- Washington University in St. Louis (US)
- Newcastle University (GB)
- Cochrane (GB)
- University of Marburg; Department of Family Medicine / General Practice; Karl-von-Frisch-Str. 4 Marburg Germany D-35039
- ORCID
- Venue
- Cochrane Database of Systematic Reviews
- Publisher
- Wiley
- Published
- 2018-07-19
- Volume
- 2018
- Issue
- 7
- Pages
- CD006732-CD006732
- ISSN
- 1361-6137 (ISSN-L)
- 1465-1858
- PMC
- PMC6513543
- OpenAlex
- W2884603128
- Cited by
- 698
- References
- 205
- Citations by year
- 2026: 34 · 2025: 120 · 2024: 124 · 2023: 94 · 2022: 99 · 2021: 95 · 2020: 67 · 2019: 54 · 2018: 8 · 2017: 1
- FWCI
- 10.20
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cochrane Database of Systematic Reviews (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Palliative Care and End-of-Life Issues
- Keywords
- shared decision-making, healthcare workers, intervention, decision aids, patient activation, patient education, patient-provider communication, decision regret, patient satisfaction, patient-reported outcomes, patient-centered care, implementation of shared decision making, multicomponent intervention, contamination risk, risk of bias, quality of evidence, patient engagement, patient participation
- MeSH terms
- Decision Making, Decision Support Techniques, Health Personnel, Humans, Patient Education as Topic, Patient Participation, Randomized Controlled Trials as Topic
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