scholarly journals A sociodental approach in prosthodontic treatment decision making

2004 ◽  
Vol 12 (2) ◽  
pp. 127-132 ◽  
Author(s):  
Cláudio Rodrigues Leles ◽  
Maria do Carmo Matias Freire
Keyword(s):  
Decision Making ◽  
Clinical Practice ◽  
Clinical Decision Making ◽  
Treatment Decision ◽  
Clinical Decision ◽  
Decision Making Process ◽  
Evidence Based ◽  
Critical Problem ◽  
Practice Model ◽  
Treatment Decision Making

A critical problem in the decision making process for dental prosthodontic treatment is the lack of reliable clinical parameters. This review discusses the limits of traditional normative treatment and presents guidelines for clinical decision making. There is a need to incorporate a sociodental approach to help determine patient's needs. Adoption of the evidence-based clinical practice model is also needed to assure safe and effective clinical practice in prosthetic dentistry.

Integrating Research Into the Clinic

2002 ◽  
Vol 92 (2) ◽  
pp. 115-122 ◽  
Author(s):  
Anne-Maree Keenan ◽  
Anthony C. Redmond
Keyword(s):  
Decision Making ◽  
Clinical Practice ◽  
Research Evidence ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Research Process ◽  
Decision Making Process ◽  
Evidence Based ◽  
Clinical Environment ◽  
The Individual

This paper is the first in a series of three aimed at introducing clinicians to current concepts in research, and outlining how they may be able to apply these concepts to their own clinical practice. It has become evident in recent years that while many practitioners may not want to become actively involved in the research process, simply keeping abreast of the burgeoning publication base will create new demands on their time, and will often require the acquisition of new skills. This series introduces the philosophies of integrating what sometimes may appear to be abstract research into the realities of the clinical environment. It will provide practitioners with an accessible summary of the tools required in order to understand the research process. For some, it is hoped this series may provide some impetus for the contemplative practitioner to become a more active participant in the research process. This first paper addresses how the evidence based practice (EBP) revolution can be used to empower the individual practitioner and how good quality evidence can improve the overall clinical decision making process. It also suggests key strategies by which the clinician may try to enhance their clinical decision making process and make research evidence more applicable to their day to day clinical practice. (J Am Podiatr Med Assoc 92(2): 115-122, 2002)

Improving the evidence-based clinical decision-making process: Interactive classification and topic discovery on diabetes-related biomedical literature (Preprint)

2021 ◽  
Author(s):  
Adrian Ahne ◽  
Guy Fagherazzi ◽  
Xavier Tannier ◽  
Thomas Czernichow ◽  
Francisco Orchard
Keyword(s):  
Decision Making ◽  
Active Learning ◽  
Hierarchical Clustering ◽  
Domain Knowledge ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Biomedical Literature ◽  
Decision Making Process ◽  
Evidence Based ◽  
Text Data

BACKGROUND The amount of available textual health data such as scientific and biomedical literature is constantly growing and it becomes more and more challenging for health professionals to properly summarise those data and in consequence to practice evidence-based clinical decision making. Moreover, the exploration of large unstructured health text data is very challenging for non experts due to limited time, resources and skills. Current tools to explore text data lack ease of use, need high computation efforts and have difficulties to incorporate domain knowledge and focus on topics of interest. OBJECTIVE We developed a methodology which is able to explore and target topics of interest via an interactive user interface for experts and non-experts. We aim to reach near state of the art performance, while reducing memory consumption, increasing scalability and minimizing user interaction effort to improve the clinical decision making process. The performance is evaluated on diabetes-related abstracts from Pubmed. METHODS The methodology consists of four parts: 1) A novel interpretable hierarchical clustering of documents where each node is defined by headwords (describe documents in this node the most); 2) An efficient classification system to target topics; 3) Minimized users interaction effort through active learning; 4) A visual user interface through which a user interacts. We evaluated our approach on 50,911 diabetes-related abstracts from Pubmed which provide a hierarchical Medical Subject Headings (MeSH) structure, a unique identifier for a topic. Hierarchical clustering performance was compared against the implementation in the machine learning library scikit-learn. On a subset of 2000 randomly chosen diabetes abstracts, our active learning strategy was compared against three other strategies: random selection of training instances, uncertainty sampling which chooses instances the model is most uncertain about and an expected gradient length strategy based on convolutional neural networks (CNN). RESULTS For the hierarchical clustering performance, we achieved a F1-Score of 0.73 compared to scikit-learn’s of 0.76. Concerning active learning performance, after 200 chosen training samples based on these strategies, the weighted F1-Score over all MeSH codes resulted in satisfying 0.62 F1-Score of our approach, compared to 0.61 of the uncertainty strategy, 0.61 the CNN and 0.45 the random strategy. Moreover, our methodology showed a constant low memory use with increased number of documents but increased execution time. CONCLUSIONS We proposed an easy to use tool for experts and non-experts being able to combine domain knowledge with topic exploration and target specific topics of interest while improving transparency. Furthermore our approach is very memory efficient and highly parallelizable making it interesting for large Big Data sets. This approach can be used by health professionals to rapidly get deep insights into biomedical literature to ultimately improve the evidence-based clinical decision making process.

Causal inference for clinicians

2019 ◽  
Vol 24 (3) ◽  
pp. 109-112 ◽  
Author(s):  
Steven D Stovitz ◽  
Ian Shrier
Keyword(s):  
Decision Making ◽  
Causal Inference ◽  
Clinical Decision Making ◽  
Causal Effect ◽  
Treatment Decision ◽  
Clinical Decision ◽  
Directed Acyclic Graphs ◽  
Causal Effects ◽  
Treatment Decision Making ◽  
Inference Methods

Evidence-based medicine (EBM) calls on clinicians to incorporate the ‘best available evidence’ into clinical decision-making. For decisions regarding treatment, the best evidence is that which determines the causal effect of treatments on the clinical outcomes of interest. Unfortunately, research often provides evidence where associations are not due to cause-and-effect, but rather due to non-causal reasons. These non-causal associations may provide valid evidence for diagnosis or prognosis, but biased evidence for treatment effects. Causal inference aims to determine when we can infer that associations are or are not due to causal effects. Since recommending treatments that do not have beneficial causal effects will not improve health, causal inference can advance the practice of EBM. The purpose of this article is to familiarise clinicians with some of the concepts and terminology that are being used in the field of causal inference, including graphical diagrams known as ‘causal directed acyclic graphs’. In order to demonstrate some of the links between causal inference methods and clinical treatment decision-making, we use a clinical vignette of assessing treatments to lower cardiovascular risk. As the field of causal inference advances, clinicians familiar with the methods and terminology will be able to improve their adherence to the principles of EBM by distinguishing causal effects of treatment from results due to non-causal associations that may be a source of bias.

scholarly journals Reframing Perceptions in Restorative Dentistry: Evidence-Based Dentistry and Clinical Decision-Making

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Ayah A Al-Asmar ◽  
Ahmad S Al-Hiyasat ◽  
Motasum Abu-Awwad ◽  
Hakam N Mousa ◽  
Nesreen A Salim ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Practice ◽  
Root Canal ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Root Canal Treatment ◽  
Evidence Based ◽  
Dental Practice ◽  
Restorative Dentistry ◽  
Evidence Based Dentistry

Objectives. The 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. Methods. The 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. Results. The 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. Conclusion. A 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.

scholarly journals Desenvolvimento e Avaliação de uma Plataforma Colaborativa Digital para Educação e Tomada de Decisão Médica Baseada em Evidências

2019 ◽  
Vol 43 (1 suppl 1) ◽  
pp. 513-524
Author(s):  
Álisson Oliveira dos Santos ◽  
Alexandre Sztajnberg ◽  
Tales Mota Machado ◽  
Daniel Magalhães Nobre ◽  
Adriano Neves de Paula e Souza ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Practice ◽  
Clinical Decision Making ◽  
Real Life ◽  
Evaluation Process ◽  
Clinical Decision ◽  
Medical Decision ◽  
Alternative Form ◽  
Evidence Based ◽  
Life Problems

ABSTRACT The medical education for clinical decision-making has undergone changes in recent years. Previously supported by printed material, problem solving in clinical practice has recently been aided by digital tools known as summaries platforms. Doctors and medical students have been using such tools from questions found in practice scenarios. These platforms have the advantage of high-quality, evidence-based and always up-to-date content. Its popularization was mainly due to the rise of the internet use and, more recently, of mobile devices such as tablets and smartphones, facilitating their use in clinical practice. Despite this platform is widely available, the most of them actually present several access barriers as costs, foreign language and not be able to Brazilian epidemiology. A free national platform of evidence-based medical summaries was proposed, using the crowdsourcing concept to resolve those barriers. Furthermore, concepts of gamification and content evaluation were implemented. Also, there is the possibility of evaluation by the users, who assigns note for each content created. The platform was built with modern technological tools and made available for web and mobile application. After development, an evaluation process was conducted by researchers to attest to the valid of content, usability, and user satisfying. Consolidated questionnaires and evaluation tools by the literature were applied. The process of developing the digital platform fostered interdisciplinarity, from the involvement of medical and information technology professionals. The work also allowed the reflection on the innovative educational processes, in which the learning from real life problems and the construction of knowledge in a collaborative way are integrated. The assessment results suggest that platform can be real alternative form the evidence-based medical decision-making.

scholarly journals Progress in Clinical Neurosciences: Evidence Based Care in the Neurosciences

2002 ◽  
Vol 29 (2) ◽  
pp. 115-119 ◽  
Author(s):  
Samuel Wiebe ◽  
Bart Demaerschalk
Keyword(s):  
Decision Making ◽  
Clinical Practice ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Ease Of Use ◽  
Evidence Based ◽  
Content Accessibility ◽  
Evidence Based Care

Abstract:We examine the relevance of Evidence Based Care (EBC) to the field of clinical neurosciences, with particular emphasis on feasible methods of implementing EBC in clinical practice. By using pre-appraised EBC summaries, busy clinicians can move toward EBC without engaging in the laborious process of searching and critically appraising the literature. After reviewing the neurological content, accessibility and ease of use of current sources of EBC summaries, we find them substantially lacking in coverage of the neurosciences, and therefore of limited use to clinicians in this field. We emphasize a particular type of EBC summary, the critically appraised topic, and comment on its usefulness and limitations as a tool to assist clinical decision-making in the neurosciences. Finally, we propose that a collection of easily accessible, good quality, peer reviewed critically appraised topics, covering a breadth of relevant topics, is a reasonable way of moving toward EBC in the clinical neurosciences.

scholarly journals 28 How is Postpartum Depression Currently Diagnosed and Managed? Insights from a Virtual Patient Simulation

CNS Spectrums ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 189-190
Author(s):  
Jovana Lubarda ◽  
Martin Warters ◽  
Piyali Chatterjee ◽  
Marlene P. Freeman ◽  
Roger S. McIntyre
Keyword(s):  
Decision Making ◽  
Clinical Practice ◽  
Postpartum Depression ◽  
Clinical Decision Making ◽  
Patient Simulation ◽  
Clinical Decision ◽  
Virtual Patient ◽  
Evidence Based ◽  
Clinical Decisions ◽  
Practice Gaps

AbstractObjectivesThe goal of this study was to determine physician performance in diagnosis and management of postpartum depression (PPD) and to provide needed education in the consequence free environment of a virtual patient simulation (VPS).Methods∙ A continuing medical education activity was delivered via an online VPS learning platform that offers a lifelike clinical care experience with complete freedom of choice in clinical decision-making and expert personalized feedback to address learner’s practice gaps∙ Physicians including psychiatrists, primary care physicians (PCPs), and obstetricians/gynecologists (ob/gyns) were presented with two cases of PPD designed to model the experience of actual practice by including use of electronic health records∙ Following virtual interactions with patients, physicians were asked to make decisions regarding assessments, diagnoses, and pharmacologic therapies. The clinical decisions were analyzed using a sophisticated decision engine, and clinical guidance (CG) based on current evidence-based recommendations was provided in response to learners’ clinical decisions∙ Impact of the education was measured by comparing participant decisions pre- and post-CG using a 2-tailed, paired t-test; P <.05 was considered statistically significant∙ The activity launched on Medscape Education on April 26, 2018, and data were collected through to June 17,2018.Results∙ From pre- to post-CG in the simulation, physicians were more likely to make evidence-based clinical decisions related to:∙ Ordering appropriate baseline tests including tools/scales to screen for PPD: in case 1, psychiatrists (n=624) improved from 34% to 42% on average (P<.05); PCPs (n=197) improved from 38% to 48% on average (P<.05); and, ob/gyns (n=216) improved from 30% to 38% on average (P<.05)∙ Diagnosing moderate-to-severe PPD: in case 2, psychiatrists (n=531) improved from 46% to 62% (P<.05); PCPs (n=154) improved from 43% to 55% (P<.05); and, ob/gyns (n=137) improved from 55% to 73% (P<.05)∙ Ordering appropriate treatments for moderate-to-severe PPD such as selective serotonin-reuptake inhibitors: in case 2, psychiatrists (n=531) improved from 47% CG to 75% (P<.05); PCPs (n=154) improved from 55% to 74% (P<.05); and, ob/gyns (n=137) improved from 51% to 78% (P<.05)∙ Interestingly, a small percentage of physicians (average of 5%) chose investigational agents for PPD which were in clinical trials pre-CG, and this increased to an average of 9% post-CGConclusionsPhysicians who participated in VPS-based education significantly improved their clinical decision-making in PPD, particularly in selection of validated screening tools/scales, diagnosis, and pharmacologic treatments based on severity. Given that VPS immerses physicians in an authentic, practical learning experience matching the scope of clinical practice, this type of intervention can be used to determine clinical practice gaps and translate knowledge into practice.Funding Acknowledgements: The educational activity and outcomes measurement were funded through an independent educational grant from Sage Therapeutics, Inc.

scholarly journals ADOLESCENT PATIENTS AND THE CLINICAL DECISION ABOUT THEIR HEALTH

2019 ◽  
Vol 37 (4) ◽  
pp. 503-509
Author(s):  
Marlene Pereira Garanito ◽  
Vera Lucia Zaher-Rutherford
Keyword(s):  
Decision Making ◽  
Latin American ◽  
Clinical Decision Making ◽  
Case Reports ◽  
Treatment Decision ◽  
Clinical Decision ◽  
Electronic Library ◽  
Data Synthesis ◽  
Treatment Decision Making ◽  
The Individual

ABSTRACT Objective: To carry out a review of the literature on adolescents’ participation in decision making for their own health. Data sources: Review in the Scientific Electronic Library Online (SciELO), Latin American and Caribbean Health Sciences Literature (LILACS) and PubMed databases. We consider scientific articles and books between 1966 and 2017. Keywords: adolescence, autonomy, bioethics and adolescence, autonomy, ethics, in variants in the English, Portuguese and Spanish languages. Inclusion criteria: scientific articles, books and theses on clinical decision making by the adolescent patient. Exclusion criteria: case reports and articles that did not address the issue. Among 1,590 abstracts, 78 were read in full and 32 were used in this manuscript. Data synthesis: The age at which the individual is able to make decisions is a matter of debate in the literature. The development of a cognitive and psychosocial system is a time-consuming process and the integration of psychological, neuropsychological and neurobiological research in adolescence is fundamental. The ability to mature reflection is not determined by chronological age; in theory, a mature child is able to consent or refuse treatment. Decision-making requires careful and reflective analysis of the main associated factors, and the approach of this problem must occur through the recognition of the maturity and autonomy that exists in the adolescents. To do so, it is necessary to “deliberate” with them. Conclusions: International guidelines recommend that adolescents participate in discussions about their illness, treatment and decision-making. However, there is no universally accepted consensus on how to assess the decision-making ability of these patients. Despite this, when possible, the adolescent should be included in a serious, honest, respectful and sincere process of deliberation.

Clinical Practice Guidelines: What Are They? Where Are They? How Good Are They?

2009 ◽  
Vol 28 (5) ◽  
pp. 343-350 ◽  
Author(s):  
Joan Renaud Smith ◽  
Ann Donze
Keyword(s):  
Clinical Practice ◽  
Clinical Practice Guidelines ◽  
Practice Guidelines ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Health Care Team ◽  
Decision Making Process ◽  
Evidence Based ◽  
Practice Setting ◽  
Team Members

PREVIOUS COLUMNS HAVE FOCUSED on utilizing evidence-based practice to incorporate the best evidence into clinical practice. This column builds upon that knowledge and describes a specific type of presynthesized evidence meant to guide and inform practice: clinical practice guidelines (CPGs). Clinical practice guidelines have been in existence for years, and their development is based on the desire to move research into practice and promote consistency among practitioners.1 Clinical practice guidelines are tools for health care team members to use to enhance their knowledge and skill in integrating evidence into the clinical decision making process. This column defines CPGs and the significance they have in the practice setting and provides tools and resources necessary to locate, develop, and critically appraise them.

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