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Wieringa TH, Sanchez-Herrera MF, Espinoza NR, Tran VT, Boehmer K. Crafting Care That Fits: Workload and Capacity Assessments Complementing Decision Aids in Implementing Shared Decision Making. J Particip Med 2020; 12:e13763. [PMID: 33064091 PMCID: PMC7434057 DOI: 10.2196/13763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 09/04/2019] [Accepted: 02/12/2020] [Indexed: 11/13/2022] Open
Abstract
About 42% of adults have one or more chronic conditions and 23% have multiple chronic conditions. The coordination and integration of services for the management of patients living with multimorbidity is important for care to be efficient, safe, and less burdensome. Minimally disruptive medicine may optimize this coordination and integration. It is a patient-centered approach to care that focuses on achieving patient goals for life and health by seeking care strategies that fit a patient’s context and are minimally disruptive and maximally supportive. The cumulative complexity model practically orients minimally disruptive medicine–based care. In this model, the patient workload-capacity imbalance is the central mechanism driving patient complexity. These elements should be accounted for when making decisions for patients with chronic conditions. Therefore, in addition to decision aids, which may guide shared decision making, we propose to discuss and clarify a potential workload-capacity imbalance.
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Affiliation(s)
- Thomas H Wieringa
- Department of Medical Psychology, Amsterdam UMC, Amsterdam, Netherlands
| | | | - Nataly R Espinoza
- Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, United States
| | - Viet-Thi Tran
- METHODS Team, Centre of Research in Epidemiology and StatisticS, Université de Paris, Institut National de la Santé et de la Recherche Médicale, Paris, France
| | - Kasey Boehmer
- Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, United States
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Wieringa TH, Rodriguez-Gutierrez R, Spencer-Bonilla G, de Wit M, Ponce OJ, Sanchez-Herrera MF, Espinoza NR, Zisman-Ilani Y, Kunneman M, Schoonmade LJ, Montori VM, Snoek FJ. Decision aids that facilitate elements of shared decision making in chronic illnesses: a systematic review. Syst Rev 2019; 8:121. [PMID: 31109357 PMCID: PMC6528254 DOI: 10.1186/s13643-019-1034-4] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 04/29/2019] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Shared decision making (SDM) is a patient-centered approach in which clinicians and patients work together to find and choose the best course of action for each patient's particular situation. Six SDM key elements can be identified: situation diagnosis, choice awareness, option clarification, discussion of harms and benefits, deliberation of patient preferences, and making the decision. The International Patient Decision Aid Standards (IPDAS) require that a decision aid (DA) support these key elements. Yet, the extent to which DAs support these six key SDM elements and how this relates to their impact remain unknown. METHODS We searched bibliographic databases (from inception until November 2017), reference lists of included studies, trial registries, and experts for randomized controlled trials of DAs in patients with cardiovascular, or chronic respiratory conditions or diabetes. Reviewers worked in duplicate and independently selected studies for inclusion, extracted trial, and DA characteristics, and evaluated the quality of each trial. RESULTS DAs most commonly clarified options (20 of 20; 100%) and discussed their harms and benefits (18 of 20; 90%; unclear in two DAs); all six elements were clearly supported in 4 DAs (20%). We found no association between the presence of these elements and SDM outcomes. CONCLUSIONS DAs for selected chronic conditions are mostly designed to transfer information about options and their harms and benefits. The extent to which their support of SDM key elements relates to their impact on SDM outcomes could not be ascertained. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration number: CRD42016050320 .
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Affiliation(s)
- Thomas H Wieringa
- Department of Medical Psychology, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.
| | - Rene Rodriguez-Gutierrez
- Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, USA.,Division of Endocrinology, Department of Internal Medicine, "Dr. Jose E. González" University Hospital, Autonomous University of Nuevo Leon, Monterrey, Nuevo Leon, Mexico.,Plataforma INVEST Medicina UANL-KER Unit Mayo Clinic, KER Unit México, "Dr. Jose E. González" University Hospital, Autonomous University of Nuevo Leon, Monterrey, Nuevo Leon, Mexico
| | - Gabriela Spencer-Bonilla
- Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, USA.,Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Maartje de Wit
- Department of Medical Psychology, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Oscar J Ponce
- Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, USA
| | | | - Nataly R Espinoza
- Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, USA
| | | | - Marleen Kunneman
- Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, USA.,Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Victor M Montori
- Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, USA
| | - Frank J Snoek
- Department of Medical Psychology, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
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