View clinical trials related to Clinical Decision-making.
Filter by:Background: Nursing education aims to provide students with knowledge and skills related to the profession and develop students in terms of personal characteristics such as clinical decision-making, problem-solving, and critical thinking. Innovative approaches and interactive learning strategies are needed during education periods to increase skills and personal development. Aim: The study aimed to investigate the effect of computer simulation and imagery learning techniques in psychomotor skills training of nursing students on self-confidence and anxiety in clinical decision-making and academic achievement. Design: It is an experimental study with a pretest-posttest design with two intervention groups. Setting: The study was conducted between December 2023 and January 2024 at the faculty of health sciences of a university in Turkey's central region.
Currently, an ongoing generational shift of the dental community in Sweden originates from an increased number of retiring dentists. Meanwhile, a declining number of dental professionals puts a strain on the care system and reduces the availability of dental care to patients in need of treatment. With fewer experienced dentists, available to guide newly graduated dentists, an increased number of referrals to specialist care units might be a consequence. E.g. referrals to oral and maxillofacial departments originating from a need of assistance in more advanced cases of assessments, treatment planning and therapies. The decreasing number of dentists is also possible to negatively affect the recruitment to specialized dental units, which in turn further decreases treatment availability. When the need for dental care exceeds the capacity of the dental care providers, a possible solution might be to minimize the number of referrals possible to treat in general dentistry, thus prioritize patients truly in need of specialist care. Hence, a reduced waiting time and improved accessibility to an adequate treatment. The aim of this study is to explore the suitability of referrals concerning exodontia to the departments of oral and maxillofacial surgery in southern Sweden. The primary objective is to assess the level of difficulty in referrals on dental extractions. Secondary objectives are assessments of outcome from treatment and comparison of the suggested treatment of the referral with the outcome. The hypothesis is that the level of difficulty of the required treatments in referrals to oral and maxillofacial departments in southern Sweden is low and constitutes a contributing factor to prolonged waiting queues in specialized dentistry.
The primary objective of this study is to determine whether patient records with complete, structured and up-to-date problem lists ('accurate problem lists'), result in better clinical decision-making, compared to patient records that convey the same information in a less structured way where the problem list has missing and/or duplicate diagnoses ('inaccurate problem lists'). The secondary objective is to determine whether the time required to make a correct decision is less for patient records with accurate problem lists compared to patient records with inaccurate problem lists.
This is a randomized crossover study, where clinicians will be randomized to periods where they will use a rehydration calculator application with or without the Diarrheal Etiology Prediction (DEP) algorithm. The crossover will include a washout period to reduce carryover effect. The study will be conducted over a 9-week period. The Investigators will use a random number generator to randomize clinicians to DEP (use of the etiology calculator) or control arm (use of a previously-tested rehydration calculator) within site for the first 4 weeks. After the first 4 weeks, there will be 1-week washout period without decision support, after which each clinician will cross-over to the other arm for the next 4 weeks. The Investigators will enroll diarrhea-treating clinicians who treat children presenting with acute diarrhea at sites in Bangladesh and Mali. Utah investigators will only analyze de-identified data provided by our collaborators in Bangladesh and Mali.
This 18-month prospective, observational study involving real world data will determine if the use of a standing scale that delivers a quantitative measure of standing balance along with weight (balance + weight) in place of a scale that only delivers weight (weight only) influences clinical decision making by health care practitioners in the ambulatory outpatient setting. Providers will be randomized to receive the balance+weight scale or weight-only scale for 9 months, then to crossover and receive the other for 9 months. The primary outcome measures are (1) providers' self-reported perceptions of whether the balance measurement influences their clinical decision making and (2) the rate of performing falls risk assessments or referring to a specialist for evaluation and treatment based on aggregate billing data. The secondary outcome measure is qualitative interviews with practitioners regarding their perceptions on the utility and barriers to using the device.
This study aims to determine whether intraoperative physiologic measurements of blood flow to the leg during endovascular treatment of Peripheral Arterial Disease (PAD) can predict future clinical outcomes.
The frequency of head computed tomography (CT) imaging for mild head trauma patients has raised safety and cost concerns. Validated clinical decision rules exist in the published literature and on-line sources to guide medical image ordering but are often not used by emergency department (ED) clinicians. Using simulation, we explored whether the presentation of a clinical decision rule (i.e. Canadian CT Head Rule - CCHR), findings from malpractice cases related to clinicians not ordering CT imaging in mild head trauma cases, and estimated patient out-of-pocket cost might influence clinician brain CT ordering. Understanding what type and how information may influence clinical decision making in the ordering advanced medical imaging is important in shaping the optimal design and implementation of related clinical decision support systems.
Patients and families want to be involved in healthcare decisions. When the decision-making process does not engage older patients and their families, the care provided does not match patient preferences or meet their needs. Healthcare teams can collaborate to support patients and families facing difficult healthcare decisions, such as decisions about the use of technology used to keep a person alive when they are critically ill. Tools called patient decision aids are used in many health care settings to help patients and families understand their options and figure out the benefits and harms of a treatment to decide what is right for them. The healthcare team can make sure that patients understand the information provided, give them opportunities to ask questions, and help them talk more about the decision with others. This research study is trialing a web based patient decision aid class of intervention. It is anticipated that 120 hospitalized, seriously ill, older adult patients/ families and their healthcare professionals will be recruited. The study will determine if the intervention can improve dialogue about whether life sustaining technology for seriously ill older patients. The findings will contribute to what is already known about overcoming challenges to involving patients and families with a goal of keeping patients and families at the centre of decisions about their health.
Purpose: This study will compare the effectiveness and mediators of two different knowledge transfer (KT) interventions in terms of their impact on changing knowledge and behavior (utilization and clinical reasoning) related to health outcome measures.