980 resultados para clinical decision making


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A decision-making framework for image-guided radiotherapy (IGRT) is being developed using a Bayesian Network (BN) to graphically describe, and probabilistically quantify, the many interacting factors that are involved in this complex clinical process. Outputs of the BN will provide decision-support for radiation therapists to assist them to make correct inferences relating to the likelihood of treatment delivery accuracy for a given image-guided set-up correction. The framework is being developed as a dynamic object-oriented BN, allowing for complex modelling with specific sub-regions, as well as representation of the sequential decision-making and belief updating associated with IGRT. A prototype graphic structure for the BN was developed by analysing IGRT practices at a local radiotherapy department and incorporating results obtained from a literature review. Clinical stakeholders reviewed the BN to validate its structure. The BN consists of a sub-network for evaluating the accuracy of IGRT practices and technology. The directed acyclic graph (DAG) contains nodes and directional arcs representing the causal relationship between the many interacting factors such as tumour site and its associated critical organs, technology and technique, and inter-user variability. The BN was extended to support on-line and off-line decision-making with respect to treatment plan compliance. Following conceptualisation of the framework, the BN will be quantified. It is anticipated that the finalised decision-making framework will provide a foundation to develop better decision-support strategies and automated correction algorithms for IGRT.

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This is an ongoing research investigating the use of health information technologies (HIT) to improve clinical decision-making processes. Effective and timely clinical decision-making can lead to positive improvements in patient’s health outcome...

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Little is known about the acquisition of decision-making skills in nursing students as a function of experience and academic ability. Knowing how experience and academic skills interact may help inform clinical education programs and formulate ways of assessing students' progress. The aims of the present study were to develop a problem-solving task capable of measuring clinical decision-making skills in novice nurses at different levels of domain-specific knowledge; and to establish the relative impact on decision-making of domain-specific knowledge and general ability as determinants of the acquisition of decision-making skills. Three types of clinical problems of increasing complexity were developed. Sixty second-year and third-year student nurses with high and low academic scores were studied in terms of their ability to generate hypotheses for a hypothetical case, recognize disconfirming information and the need to access additional information, and diagnostic accuracy. The results showed that general academic ability and knowledge function partly independently in the acquisition of expertise in nursing. Academic ability affects decision-making in low complexity tasks, but as case complexity increases, domain-specific knowledge and experience determines decision-making skills. There are important differences in the way novices with different levels of knowledge and ability make clinical decisions and these can be studied by systematically increasing the complexity of the decision task. These results have implications for the way in which clinical education is structured and evaluated.

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Background. Cardiac surgical patients are distinguished by their potential for instability in the early postoperative period, highly invasive haemodynamic monitoring technologies and unique clinical presentations as a result of undergoing cardiopulmonary bypass. Little is known about nurses’ perceptions of assuming responsibility for such patients. An nderstanding of nurses’ perceptions may identify areas of practice that can be improved and assist in determining the adequacy of current decision supports.

Aim. The aim of this study was to describe critical care nurses’ perceptions of assuming responsibility for the nursing management of cardiac patients in the initial two-hour postoperative period. Design. An exploratory descriptive study based on naturalistic decision-making.

Methods.
Thirty-eight nurses were interviewed immediately following a two-hour observation of their clinical practice. Content analysis and a systematic thematic analysis process called ‘Framework’ were used to analyse the interview transcripts.

Results. Nurses described their perceptions of managing patients in terms of how they felt about making decisions for complex cardiac surgical patients and in terms of how clinical processes unique to the admission phase impacted their decision-making. Nurses felt either daunted or stimulated and challenged when making decisions. Nurses identified handover from anaesthetists, settling in procedures and forms of
collegial assistance as important processes that impacted their decision-making.

Conclusion.
Nurses’ previous experiences with similar patients influenced how they felt about making decisions during the initial two-hour postoperative period, but did not alter their views about processes important for patient safety during this time. Relevance to clinical practice. Feelings expressed by nurses in this study highlight the need for clinical supervision and appropriate allocation of resources during the immediate recovery period after cardiac surgery. Nurses identified ways to improve clinical processes that impacted their decision-making during the immediate recovery of cardiac surgical patients.

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Background. Researchers have described both the various decision tasks performed by triage nurses using self-report methods and identified time as a factor influencing the quality of triage decisions. However, little is known about the decision tasks performed by triage nurses when making acuity assessments, or the factors influencing triage duration in the real world.

Aims. The aims of this study were to: describe the data triage nurses collect from patients in order to allocate a triage priority using the Australasian Triage Scale (ATS); describe the duration of nurses' decision making for ATS categories 2–5; and to explore the impact of patient and nurse variables on the duration of the triage nurses' decision making in the clinical setting.

Design. A structured observational study was employed to address the research aims. Observational data was collected in one adult emergency department located in metropolitan Melbourne, Australia. A total of 26 triage nurses consented and were observed performing 404 occasions of triage. Data was collected by a single observer using a 20-item instrument that recorded the performance frequencies of a range of decision tasks and a number of observable patient, nurse and environmental variables. Additionally, the nurse–patient interaction was recorded as time in minutes.

Results. It was found that there was limited use of objective physiological data collected by the nurses' in order to decide patient acuity, and large variability in the duration of triage decisions observed. In addition, analysis of variance indicated strong evidence of a true difference between triage duration and a range of nurse, patient and environmental variables.

Conclusion. These findings have implications for the development of practice standards and triage education. In particular, it is argued that practice standards should include routine measurement of physiological parameters in all but the collapsed or obviously unwell patient, where further delay may impede the delivery oftime-critical intervention. Furthermore, the inclusion of arbitrary time frames for triage assessment in practice standards are not an appropriate method of evaluating triage decision making in the real world.


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Mental health (MH) triage is a specialist area of clinical nursing practice that involves complex decision making. The discussion in this article draws on the findings of a Ph.D. study that involved a statewide investigation of the scope of MH triage nursing practice in Victoria, Australia. Although the original Ph.D. study investigated a number of core practices in MH triage, the focus of the discussion in this article is specifically on the findings related to clinical decision making in MH triage, which have not previously been published. The study employed an exploratory descriptive research design that used mixed data collection methods including a survey questionnaire (n = 139) and semistructured interviews (n = 21). The study findings related to decision making revealed a lack of empirically tested evidence-based decision-making frameworks currently in use to support MH triage nursing practice. MH triage clinicians in Australia rely heavily on clinical experience to underpin decision making and have little of knowledge of theoretical models for practice, such as methodologies for rating urgency. A key recommendation arising from the study is the need to develop evidence-based decision-making frameworks such as clinical guidelines to inform and support MH triage clinical decision making.

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This paper presents the findings of a project that investigated mental health triage/duty/intake practices across the five community mental health agencies of The Alfred Hospital, Melbourne. The overall aim of the project was to work collaboratively with clinicians to further develop the quality and consistency of mental health triage, duty, and intake clinical practice. The project was designed to facilitate the expansion of the mental health triage knowledge base, and thus contribute to the further development of triage clinical practice. One of the unique aspects of the project was its triangulation across the adult triage service (acute), the two Continuing Care Teams, and the specialist psychiatric services such as the Child and Adolescent Mental Health Service, the Homeless and Outreach Psychiatric Service, and the Mobile Aged Psychiatric Service. The project employed focus group method to collect in-depth, qualitative data. A series of nine focus groups were conducted at each site, which concentrated on eliciting data on the core areas of mental health triage practice such as telephone consultation skills, mental status examination, risk assessment, decision-making, negotiation, crisis assessment, secondary consultation, and documentation. The investigation produced a considerable amount of high quality, in-depth data that was analysed using content analysis methods. The focus of this paper is on presenting the data on clinical decision-making that was raised through the project.

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 Background: The initiation of end of life care in an acute stroke context should be focused on those patients and families with greatest need. This requires clinicians to synthesise information on prognosis, patterns (trajectories) of dying and patient and family preferences. Within acute stroke, prognostic models are available to identify risks of dying, but variability in dying trajectories makes it difficult for clinicians to know when to commence palliative interventions. This study aims to investigate clinicians’ use of different types of evidence in decisions to initiate end of life care within trajectories typical of the acute stroke population.
Methods/design: This two-phase, mixed methods study comprises investigation of dying trajectories in acute stroke (Phase 1), and the use of clinical scenarios to investigate clinical decision-making in the initiation of palliative care (Phase 2). It will be conducted in four acute stroke services in North Wales and North West England. Patient and public involvement is integral to this research, with service users involved at each stage.
Discussion: This study will be the first to examine whether patterns of dying reported in other diagnostic groups are transferable to acute stroke care. The strengths and limitations of the study will be considered. This research will produce comprehensive understanding of the nature of clinical decision-making around end of life care in an acute stroke context, which in turn will inform the development of interventions to further build staff knowledge, skills and confidence in this challenging aspect of acute stroke care.

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BACKGROUND: Clinical decision-making is a complex activity that is critical to patient safety. Simulation, augmented by feedback, affords learners the opportunity to learn critical clinical decision-making skills. More detailed feedback following simulation exercises has the potential to further enhance student learning, particularly in relation to developing improved clinical decision-making skills. OBJECTIVE: To investigate the feasibility of head-mounted video camera recordings, to augment feedback, following acute patient deterioration simulations. DESIGN: Pilot study using an observational design. METHODS: Ten final-year nursing students participated in three simulation exercises, each focussed on detection and management of patient deterioration. Two observers collected behavioural data using an adapted version of Gaba's Clinical Simulation Tool, to provide verbal feedback to each participant, following each simulation exercise. Participants wore a head-mounted video camera during the second simulation exercise only. Video recordings were replayed to participants to augment feedback, following the second simulation exercise. Data were collected on: participant performance (observed and perceived); participant perceptions of feedback methods; and head-mounted video camera recording feasibility and capability for detailed audio-visual feedback. RESULTS: Management of patient deterioration improved for six participants (60%). Increased perceptions of confidence (70%) and competence (80%), were reported by the majority of participants. Few participants (20%) agreed that the video recording specifically enhanced their learning. The visual field of the head-mounted video camera was not always synchronised with the participant's field of vision, thus affecting the usefulness of some recordings. CONCLUSION: The usefulness of the video recordings, to enhance verbal feedback to participants on detection and management of simulated patient deterioration, was inconclusive. Modification of the video camera glasses, to improve visual-field synchronisation with participants' actual visual field, is recommended to further explore this technology for enhancing student performance.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)