Self-management strategies in neurorehabilitation

2020 ◽  
pp. 387-400
Author(s):  
Fiona Jones ◽  
Sara Demain
Keyword(s):  
Decision Making ◽  
Chronic Disease ◽  
Healthcare Professional ◽  
Shared Decision Making ◽  
Management Strategies ◽  
Self Management ◽  
Shared Decision ◽  
Collaborative Approach ◽  
Clinical Encounters ◽  
Measuring Outcomes

This chapter examines self-management in a way that introduces evidence, ideas, and concepts which illustrate the benefits of a personalized collaborative approach to neurorehabilitation. It reviews constructions of self-management from the chronic disease literature and the relevance to neurology and overlapping methods such as shared decision-making, health coaching, and motivational interviewing. It also reviews the benefits of integrating key self-management strategies into clinical encounters and current methods of measuring outcomes. It has been written for any healthcare professional who seeks to understand how to support and enable self-management within neurorehabilitation.

Exploring Shared Decision Making Between Family Caregivers, Persons With Disorders of Consciousness, and Rehabilitation Therapists in Acute Care

2021 ◽  
Vol 75 (Supplement_2) ◽  
pp. 7512510247p1-7512510247p1
Author(s):  
Jennifer Weaver ◽  
Trudy Mallinson ◽  
Leslie Davidson ◽  
Christina Papadimitriou ◽  
Ann Guernon ◽  
...  
Keyword(s):  
Decision Making ◽  
Family Caregivers ◽  
Shared Decision Making ◽  
Research Study ◽  
Medical Model ◽  
Clinical Encounter ◽  
Disorders Of Consciousness ◽  
Observational Research ◽  
Shared Decision ◽  
Clinical Encounters

Abstract Date Presented Accepted for AOTA INSPIRE 2021 but unable to be presented due to online event limitations. This qualitative, observational research study explored treatment encounters between patients with disorders of consciousness, rehabilitation practitioners, and family to understand how treatment decisions occurred. The data showed shared decision making (SDM) occurring as a process, meaning that not all five principles of SDM occur in one clinical encounter but rather unfold across multiple clinical encounters. We delineate differences in SDM between rehabilitation and the medical model. Primary Author and Speaker: Jennifer Weaver Contributing Authors: Trudy Mallinson, Leslie Davidson, Christina Papadimitriou, Ann Guernon, and Philip van der Wees

scholarly journals Shared decision‐making in tinnitus care – An exploration of clinical encounters

2018 ◽  
Vol 23 (3) ◽  
pp. 630-645 ◽  
Author(s):  
Helen Pryce ◽  
Amanda Hall ◽  
Elizabeth Marks ◽  
Beth‐Anne Culhane ◽  
Sarah Swift ◽  
...  
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Shared Decision ◽  
Clinical Encounters

scholarly journals Key components of shared decision making models: a systematic review

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e031763 ◽  
Author(s):  
Hanna Bomhof-Roordink ◽  
Fania R Gärtner ◽  
Anne M Stiggelbout ◽  
Arwen H Pieterse
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Healthcare Professional ◽  
Shared Decision Making ◽  
Treatment Options ◽  
Healthcare Setting ◽  
Shared Decision ◽  
Eligibility Criteria ◽  
Choice Awareness ◽  
Over Time

ObjectivesTo (1) provide an up-to-date overview of shared decision making (SDM)-models, (2) give insight in the prominence of components present in SDM-models, (3) describe who is identified as responsible within the components (patient, healthcare professional, both, none), (4) show the occurrence of SDM-components over time, and (5) present an SDM-map to identify SDM-components seen as key, per healthcare setting.DesignSystematic review.Eligibility criteriaPeer-reviewed articles in English presenting a new or adapted model of SDM.Information sourcesAcademic Search Premier, Cochrane, Embase, Emcare, PsycINFO, PubMed, and Web of Science were systematically searched for articles published up to and including September 2, 2019.ResultsForty articles were included, each describing a unique SDM-model. Twelve models were generic, the others were specific to a healthcare setting. Fourteen were based on empirical data, 26 primarily on analytical thinking. Fifty-three different elements were identified and clustered into 24 components. Overall, Describe treatment optionswas the most prominent component across models. Components present in >50% of models were:Make the decision (75%),Patient preferences (65%),Tailor information (65%),Deliberate (58%), Create choice awareness (55%), andLearn about the patient(53%). In the majority of the models (27/40), both healthcare professional and patient were identified as actors. Over time,Describe treatment optionsandMake the decisionare the two components which are present in most models in any time period.Create choice awarenessstood out for being present in a markedly larger proportion of models over time.ConclusionsThis review provides an up-to-date overview of SDM-models, showing that SDM-models quite consistently share some components but that a unified view on what SDM is, is still lacking. Clarity about what SDM constitutes is essential though for implementation, assessment, and research purposes. A map is offered to identify SDM-components seen as key.Trial registrationPROSPERO registration CRD42015019740

Interactive Media for Diabetes Self-Management: Issues in Maximizing Public Health Impact

2010 ◽  
Vol 30 (6) ◽  
pp. 745-758 ◽  
Author(s):  
Russell E. Glasgow
Keyword(s):  
Public Health ◽  
Primary Care ◽  
Decision Making ◽  
Shared Decision Making ◽  
Interactive Media ◽  
Health Impact ◽  
Self Management ◽  
Public Health Impact ◽  
Shared Decision

Background . Diabetes self-management presents a series of challenging tasks, and primary care, where the majority of cases of adult diabetes are treated, is hard-pressed to address these issues given competing demands. This article discusses how interactive media (IM) can be used to support diabetes self-management. Methods . Following a brief review of the literature, the 5 As framework for enhancing the effectiveness of health behavior counseling and the RE-AIM model for estimating and enhancing public health impact are used to frame discussion of the strengths and limitations of IM for diabetes shared decision making and self-management support. Results . Data and lessons learned from a series of randomized trials of IM for diabetes self-management education are summarized around 2 key issues. The first is enhancing patient engagement in decision making and includes enhancing user experience and engagement, improving quality of care, and promoting collaborative action planning and follow-up. The second is getting such resources into place and sustaining them in real-world primary care settings and involves enhancing participation at patient, clinician, and health care system levels and enhancing the generalizability of results. Conclusions . Key opportunities for IM to support diabetes self-management include assessment of information for shared decision making, assistance with problem-solving self-management challenges, and provision of follow-up support. A key current challenge is the linkage of IM supports to the rest of the patient’s care, and collection of cost-effectiveness data is a key need for future research.

Engaging older people in decisions about their healthcare: the case for shared decision making

2012 ◽  
Vol 22 (2) ◽  
pp. 99-107 ◽  
Author(s):  
Joanne Lally ◽  
Ellen Tullo
Keyword(s):  
Atrial Fibrillation ◽  
Decision Making ◽  
Clinical Practice ◽  
Healthcare Professional ◽  
Older People ◽  
Shared Decision Making ◽  
Clinical Condition ◽  
Decision Making Process ◽  
Shared Decision ◽  
Risks And Benefits

SummaryShared decision making in clinical practice involves both the healthcare professional, an expert in the clinical condition and the patient who is an expert in what is important to them. A consultation involving shared decision making enables an examination of the options available, consideration of the risks and benefits whilst incorporating the values of the patient into the decision making process. A decision is aimed at, which is both clinically appropriate and is congruent with the patient's values.Older people have been shown to value involvement, to varying degrees, in decisions about their care and treatment. The case of atrial fibrillation shows the opportunities for, and benefits of, sharing with older people decision making about their healthcare.

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