scholarly journals Shared Decision Making

2021 ◽  
Vol 02 (01) ◽  
pp. 111-117
Author(s):  
Wei Wang

Shared decision making (SDM) is a process by which physicians and patients jointly participate in choosing to pursue one of several alternatives in a clinical decision. It is most relevant for decisions that involve significant potential harms and benefits with tradeoffs and uncertainty. This paper provides a state-of-the-art review about SDM covering its concept, value, implementation and application in emergency management and communication. SDM is valuable in the process of making decisions which patients may benefit most from, thus resulting in satisfying patient-centered outcomes. Although SDM can be challenging to incorporate into clinical practice, it is likely to become a useful tool of communication in future.

2010 ◽  
Vol 30 (6) ◽  
pp. 712-721 ◽  
Author(s):  
Mark Ebell

Translation of research into clinical practice remains a barrier, with inconsistent adoption of effective treatments and useful tests. Clinical decision rules (CDRs) integrate information from several clinical or laboratory findings to provide quantitative estimates of risk for a diagnosis or clinical outcome. They are increasingly reported in the literature and have the potential to provide a bridge that helps translate findings from original research studies into clinical practice. Unlike formal aids for shared decision making, they are pragmatic solutions that provide discrete quantitative data to aid clinicians and patients in decision making. These quantitative data can help inform the informal episodes of shared decision making that frequently take place at the point of care. Methods used to develop CDRs include expert opinion, multivariate models, point scores, and classification and regression trees Desirable CDRs are valid (make accurate predictions of risk), relevant (have been shown to improve patient-oriented outcomes), are easy to use at the point of care, are acceptable (with good face validity and transparency of recommendations), and are situated in the clinical context. The latter means that the rule places patients in risk groups that are clinically useful (i.e., below the test threshold or above the treatment threshold) and does so in adequate numbers to make use of the CDR a worthwhile investment in time. CDRs meeting these criteria should be integrated with electronic health records, populating the point score or decision tree with individual patient data and performing calculations automatically to streamline decision making.


2010 ◽  
Vol 4 (1) ◽  
pp. 133-139 ◽  
Author(s):  
Janet G Bauer ◽  
Francesco Chiappelli

Currently, best evidence is a concentrated effort by researchers. Researchers produce information and expect that clinicians will implement their advances in improving patient care. However, difficulties exist in maximizing cooperation and coordination between the producers, facilitators, and users (patients) of best evidence outcomes. The Translational Evidence Mechanism is introduced to overcome these difficulties by forming a compact between researcher, clinician and patient. With this compact, best evidence may become an integral part of private practice when uncertainties arise in patient health status, treatments, and therapies. The mechanism is composed of an organization, central database, and decision algorithm. Communication between the translational evidence organization, clinicians and patients is through the electronic chart. Through the chart, clinical inquiries are made, patient data from provider assessments and practice cost schedules are collected and encrypted (HIPAA standards), then inputted into the central database. Outputs are made within a timeframe suitable to private practice and patient flow. The output consists of a clinical practice guideline that responds to the clinical inquiry with decision, utility and cost data (based on the “average patient”) for shared decision-making within informed consent. This shared decision-making allows for patients to “game” treatment scenarios using personal choice inputs. Accompanying the clinical practice guideline is a decision analysis that explains the optimized clinical decision. The resultant clinical decision is returned to the central database using the clinical practice guideline. The result is subsequently used to update current best evidence, indicate the need for new evidence, and analyze the changes made in best evidence implementation. When updates in knowledge occur, these are transmitted to the provider as alerts or flags through patient charts and other communication modalities.


2021 ◽  
Author(s):  
George Athanasiou ◽  
Chris Bachtsetzis

Patient-doctor relationship has traditionally been paternalistic, in which the doctor decided on behalf of the patient. It focused mainly between the patient who called for help and the doctor whose decisions had to be silently observed and followed by the patient. In this paternalistic model, the physician used his skills to choose the necessary interventions and treatments that were likely to restore the health of the patient. All the information given to the patient was selected to encourage them to consent to the doctor’s decisions. This definition of the asymmetric or unbalanced interaction between physicians and patients has begun to be questioned over the last 20 years. There has been a shift from this direction to one where the patient is more informed, empowered, and independent - a move from a “paternalistic” to a more “complementary” relationship. Critics suggested a more active, autonomous patient-centered role which supports greater patient control, reduced doctors’ dominance, and a more mutual participation. This approach has been described as one where the doctor attempts to enter the patient’s world to see the disease with the eyes of the patient and is becoming the predominant model in clinical practice today.


2014 ◽  
Vol 21 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Helen Pryce ◽  
Amanda Hall

Shared decision-making (SDM), a component of patient-centered care, is the process in which the clinician and patient both participate in decision-making about treatment; information is shared between the parties and both agree with the decision. Shared decision-making is appropriate for health care conditions in which there is more than one evidence-based treatment or management option that have different benefits and risks. The patient's involvement ensures that the decisions regarding treatment are sensitive to the patient's values and preferences. Audiologic rehabilitation requires substantial behavior changes on the part of patients and includes benefits to their communication as well as compromises and potential risks. This article identifies the importance of shared decision-making in audiologic rehabilitation and the changes required to implement it effectively.


2021 ◽  
pp. JDNP-D-20-00078
Author(s):  
Sybilla Myers ◽  
Christopher Kennedy

BackgroundPerceived health-related quality of life (HRQOL) is fundamental to well-being and is a meaningful way to measure physical and mental health.Local ProblemNo standard method exists for measuring perceived HRQOL during the COVID-19 pandemic in participants as they attempt to improve their self-determined wellness goals. An implementation plan that considers the social distancing limitations imposed can be used to predict an individual’s likelihood of long-term success.MethodsDuring the four, 2-week plan-do-study-act (PDSA) cycles, the Social Cognitive Theory model informed the implementation of the four core interventions. To guide iterative changes, the data was analyzed through Excel and run charts.InterventionsThe four core interventions were the shared decision-making tool (SDMT), health mobile app tool (HMAT), wellness tracker tool (WTT), and the team engagement plan.ResultsAmong 28 participants, perceived quality of life increased by 70%, engagement in shared decision-making increased to 82%, app use and confidence increased to 85%, and goal attainment reached 81%.ConclusionsThe SDMT, health app, and wellness tracker created a methodical plan of accountability for increasing participant wellness. The contextual barrier of the COVID-19 pandemic added a negative wellness burden which was mitigated by creating a patient-centered culture of wellness.


2019 ◽  
Author(s):  
Thomas H Wieringa ◽  
Manuel F Sanchez-Herrera ◽  
Nataly R Espinoza ◽  
Viet-Thi Tran ◽  
Kasey Boehmer

UNSTRUCTURED 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.


2021 ◽  
Author(s):  
Apurupa Ballamudi ◽  
John Chi

Shared decision-making (SDM) is a process in which patients and providers work together to make medical decisions with a patient-centric focus, considering available evidence, treatment options, the patient’s values and goals, and risks and benefits. It is important for all providers to understand how to effectively use SDM in their interactions with patients to improve patients’ experiences throughout their healthcare journey. There are strategies to improve communication between patients and their providers, particularly when communicating quantitative data, risks and benefits, and treatment options. Decision aids (DAs) can help patients understand complex medical information and make an informed decision. This review contains 9 figures, 4 tables and 45 references Key words: Shared decision-making, decision-making, communication, risk and benefit, patient-centered, health literacy, quality of life, decision aids, option grid, pictographs.


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