Project description:Shared decision-making is a possible link between the best of patient-centered medicine and evidence-based medicine. This article seeks to describe the link between them. It discusses to what extent the integration of such perspectives is successful in assuring respect for the patient's autonomy. From the evidence herein, we conclude that if the doctor-patient relationship and communication are strengthened to cover all issues relevant to the patient's health and values, is it possible for him or her to achieve more autonomous decisions by this linkage of shared decision-making and patient-centered medicine?SummaryShared decision-making is a possible link between the best of patient-centered medicine and evidence-based medicine. This article seeks to describe the link between them.
Project description:Evidence-based medicine (EBM) is defined as a systematic approach to clinical problem solving by the integration of best research evidence with real-world clinical expertise and patient values. Since those early days, decision requirements expanded from patient-centric clinical decision making to a population-based view including regulatory health technology assessments (HTAs). Regulatory bodies mainly rely on the totality of research evidence, which includes preclinical and all available clinical data. HTA bodies primarily focus on clinical data with a strong preference for comparative data from randomized controlled clinical trials (RCTs). Conversely, bedside clinical decisions are largely driven by real-world clinical expertise, which takes into account the individual patients' preferences, as well as the availability of supportive research evidence. While the focus on research evidence is a typical feature of the early part of the adoption curve for innovative technologies, HTA decision makers need to ensure that clinical expertise is also appropriately included in their decisions, in order to avoid beneficial medications from being not available to patients.
Project description:Decision analysis is a tool that clinicians can use to choose an option that maximizes the overall net benefit to a patient. It is an explicit, quantitative, and systematic approach to decision making under conditions of uncertainty. In this article, we present two teaching tips aimed at helping clinical learners understand the use and relevance of decision analysis. The first tip demonstrates the structure of a decision tree. With this tree, a clinician may identify the optimal choice among complicated options by calculating probabilities of events and incorporating patient valuations of possible outcomes. The second tip demonstrates how to address uncertainty regarding the estimates used in a decision tree. We field tested the tips twice with interns and senior residents. Teacher preparatory time was approximately 90 minutes. The field test utilized a board and a calculator. Two handouts were prepared. Learners identified the importance of incorporating values into the decision-making process as well as the role of uncertainty. The educational objectives appeared to be reached. These teaching tips introduce clinical learners to decision analysis in a fashion aimed to illustrate principles of clinical reasoning and how patient values can be actively incorporated into complex decision making.
Project description:Currently, Medical errors are a serious problem when examining patients. Creating information systems that use the capabilities of evidence-based medicine and artificial intelligence methods will allow the doctor to make an informed and proven decision. In this article, the authors offer a description of an information system that solves the problem of supporting medical decision making based on evidence-based medicine. This is achieved by using artificial intelligence methods. This work was supported by a grant from the Ministry of Education and Science of the Russian Federation, a unique project identifier RFMEFI60819X0278.
Project description:IntroductionMedical education should portray evidence-based medicine (EBM) and shared decision making (SDM) as central to patient care. However, misconceptions regarding EBM and SDM are common in clinical practice, and these biases might unintentionally be transmitted to medical trainees through a hidden curriculum. The current study explores how assumptions of EBM and SDM can be hidden in formal curriculum material such as PowerPoint slides.MethodsWe conducted a qualitative content analysis using a purposive sample of 18 PowerPoints on the management of upper respiratory tract infections. We identified concepts pertaining to decision making using theory-driven codes taken from the fields of EBM and SDM. We then re-analyzed the coded text using a constructivist latent thematic approach to develop a rich description of conceptualizations of decision making in relation to EBM and SDM frameworks.ResultsPowerPoint slides can relay a hidden curriculum, which can normalize: pathophysiological reasoning, unexplained variations in clinical care, the use of EBM mimics, defensive medicine, an unrealistic portrayal of benefits, and paternalism.DiscussionAddressing the hidden curriculum in formal curricular material should be explored as a novel strategy to foster a positive attitude towards EBM and SDM and to improve patient outcomes by encouraging the use of these skills.
Project description:ObjectivesThe worldwide interest of both dentists and patients in esthetic dentistry has affected decision-making in dental practice. The aim of this study was to investigate contemporary dental practice in restorative dentistry and the relationship between evidence-based dentistry in caries research and decision-making in clinical practice in restorative dentistry.MethodsThe study was conducted through a structured questionnaire distributed randomly at the Jordanian Dental Association registered dentists in Jordan. The questionnaire aimed to clarify the degree of knowledge and practice of evidence-based dentistry in caries research the dentists hold regarding clinical decision-making in restorative dentistry.ResultsThe majority of the surveyed dentists (77%) treat teeth with irreversible pulpitis with root canal treatment rather than vital pulp therapy. 13.8% routinely insert a post and 23% routinely crown the tooth after root canal treatment regardless of the remaining tooth structure. Badly damaged teeth are treated with full crowns in 72% of the cases. Regarding Hollywood smile or smile makeover, the majority of dentists choose conservative approaches, and implants were the first choice to replace missing teeth for 93.8% of the surveyed dentists.ConclusionA higher degree of implementation of evidence-based dentistry in clinical decision-making was found in Prosthetic Dentistry than in Endodontics. Yet, the gap between evidence-based data and clinical practice needs bridging. More emphasis on communicating these data to educators to integrate them into the dental curriculum is a must.
Project description:ObjectiveEvidence-based practice (EBP) provides nurses with a method to use critically appraised and scientifically proven evidence for delivering quality health care to a specific population. The objective of this study was to explore nurses' awareness of, knowledge of, and attitude toward EBP and factors likely to encourage or create barriers to adoption. In addition, information sources used by nurses and their literature searching skills were also investigated.MethodA total of 2,100 copies of the questionnaire were distributed to registered nurses in 2 public hospitals in Singapore, and 1,486 completed forms were returned, resulting in a response rate of 70.8%.ResultsMore than 64% of the nurses expressed a positive attitude toward EBP. However, they pointed out that due to heavy workload, they cannot keep up to date with new evidence. Regarding self-efficacy of EBP-related abilities, the nurses perceived themselves to possess moderate levels of skills. The nurses also felt that EBP training, time availability, and mentoring by nurses with EBP experience would encourage them to implement EBP. The top three barriers to adopting EBP were lack of time, inability to understand statistical terms, and inadequate understanding of the jargon used in research articles. For literature searching, nurses were using basic search features and less than one-quarter of them were familiar with Boolean and proximity operators.ConclusionAlthough nurses showed a positive attitude toward EBP, certain barriers were hindering their smooth adoption. It is, therefore, desirable that hospital management in Southeast Asia, particularly in Singapore, develop a comprehensive strategy for building EBP competencies through proper training. Moreover, hospital libraries should also play an active role in developing adequate information literacy skills among the nurses.
Project description:Evidence-based practice is the foundation of rehabilitation for maximizing client outcomes. However, an unacceptably high number of ineffective or outdated interventions are still implemented, leading to sub-optimal outcomes for clients. This paper proposes the Rehabilitation Evidence bAsed Decision-Making (READ) Model, a decision-making algorithm for evidence-based decision-making in rehabilitation settings. The READ Model outlines a step-by-step layered process for healthcare professionals to collaboratively set goals, and to select appropriate interventions. The READ Model acknowledges the important multi-layered contributions of client's preferences and values, family supports available, and external environmental factors such as funding, availability of services and access. Healthcare professionals can apply the READ Model to choose interventions that are evidence-based, with an appropriate mode, dose, and with regular review, in order to achieve client's goals. Two case studies are used to demonstrate application of the READ Model: cerebral palsy and autism spectrum disorder. The READ Model applies the four central principles of evidence-based practice and can be applied across multiple rehabilitation settings.
Project description:ObjectivesThis scoping review aims to synthesise the current evidence on the inclusion and effectiveness of integrating evidence-based medicine (EBM) and shared decision-making (SDM) into training courses for doctors in training to enhance patient care. Both EBM and SDM appear to be taught separately and their combined role in providing high-quality patient care has not yet been explored.DesignScoping review of literature from January 2017 to June 2021.SettingAny setting where doctors in training could undertake EBM and/or SDM courses (hospitals, universities, clinics and online).ParticipantsDoctors in training (also known as junior doctors, residents, registrars, trainees, fellows) defined as medical graduates undertaking further training to establish a career pathway.MethodsSearches were conducted in the databases Medline, Embase, Scopus and Cochrane Library. Bibliographies of included articles and their cited references were hand searched and assessed for inclusion. Included studies described training and outcomes of either EBM, SDM or both. Reported outcomes included EBM knowledge and skill tests, attitude surveys, SDM checklists and surveys and patient and doctor experience data obtained from surveys, focus groups and interviews.ResultsOf the 26 included studies, 15 described EBM training courses, 10 described SDM training courses and 1 course combined both EBM and SDM. Courses were heterogeneous in their content and outcomes, making comparisons difficult. EBM courses prioritised quantitative outcome assessments and linked knowledge and skills, such as critical appraisal, but overlooked other key elements of patient-centred care including SDM.ConclusionsSDM and EBM are taught separately in most training courses. The inclusion of SDM, evaluated by qualitative assessments, is currently omitted, yet could provide a more person-centred care focus in EBM courses and should be investigated to increase our knowledge of the effectiveness of such courses and their role in improving doctors' skills and patient care.ProtocolA protocol for this review has been published and contains further details of the methodology.