Electronic interface for emergency department management of asthma: A randomized control trial of clinician performance

Taylor, Ben; Dinh, Michael; Kwok, Raymond; Dinh, David; Chu, Matthew; Tang, Eric H. M.

doi:10.1111/j.1742-6723.2007.01040.x

Cited by 7 publications

(24 citation statements)

References 18 publications

(31 reference statements)

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“…Significance was set at two‐tailed P value <0.05. Based on a previous pilot study, an overall improvement in primary outcome from 50% to 80% after ACAFE implementation was predicted 8 . Assuming power of 90% and alpha value of 0.05, a total sample of 100 participants was required.…”

Section: Methodsmentioning

confidence: 99%

“…Results for significant primary outcomes were adjusted for clinician seniority and triage category using logistic regression model. These were considered potential confounders for documentation and guideline adherence based on our previous simulation trial 8 …”

Section: Methodsmentioning

confidence: 99%

“…Based on a previous pilot study, an overall improvement in primary outcome from 50% to 80% after ACAFE implementation was predicted. 8 Assuming power of 90% and alpha value of 0.05, a total sample of 100 participants was required. Discharge outcomes were compared only using subset of patients who were discharged.…”

Section: Data Collection and Analysismentioning

confidence: 99%

“…These were considered potential confounders for documentation and guideline adherence based on our previous simulation trial. 8…”

Section: Data Collection and Analysismentioning

confidence: 99%

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Improving adherence to asthma clinical guidelines and discharge documentation from emergency departments: Implementation of a dynamic and integrated electronic decision support system†

Kwok

Dinh

Dinh³

et al. 2009

Emerg Medicine Australasia

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Data Collection and Analysismentioning

confidence: 99%

“…These were considered potential confounders for documentation and guideline adherence based on our previous simulation trial. 8…”

Section: Data Collection and Analysismentioning

confidence: 99%

See 2 more Smart Citations

Improving adherence to asthma clinical guidelines and discharge documentation from emergency departments: Implementation of a dynamic and integrated electronic decision support system†

Kwok

Dinh

Dinh³

et al. 2009

Emerg Medicine Australasia

Self Cite

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“…Adult health nursing textbooks 18,19 and asthma care guidelines [22][23][24][25] were reviewed, information was collected, and the contents related to the nursing care of patients with asthma were identified. Learning objectives were established, and evaluation outcomes for critical-thinking and communication skills were fixed.…”

Section: Content Development: a Simulation Scenario And Evaluation Chmentioning

confidence: 99%

Development of a Simulation Scenario and Evaluation Checklist for Patients With Asthma in Emergency Care

Lee

Jeong

Kang

et al. 2015

CIN: Computers, Informatics, Nursing

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Care for patients with asthma requires prompt and effective decision-making abilities. Many nursing students report a lack of preparedness and competence with respect to their ability to perform nursing duties. Simulation-based learning has been developed as a potential solution to this problem. Moreover, the simulation scenario with an evaluation checklist offers a reliable evaluation strategy for the education and training of clinical decision-making skills among nursing students. The simulation scenario and evaluation checklist developed in this study offer a means to improve patient safety during asthma care in the emergency care unit, as well as to improve nursing students' problem-solving competencies and communication with patients with asthma.

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What does it mean to provide decision support to a responsible and competent expert?

Richard

Mayag

Talbot

et al. 2020

EURO Journal on Decision Processes

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Decision support consists in helping a decision-maker to improve his/her decisions. However, clients requesting decision support are often themselves experts and are often taken by third parties and/or the general public to be responsible for the decisions they make. This predicament raises complex challenges for decision analysts, who have to avoid infringing upon the expertise and responsibility of the decision-maker. The case of diagnosis decision support in healthcare contexts is particularly illustrative. To support clinicians in their work and minimize the risk of medical error, various decision support systems have been developed, as part of information systems that are now ubiquitous in healthcare contexts. To develop, in collaboration with the hospitals of Lyon, a diagnostic decision support system for day-today customary consultations, we propose in this paper a critical analysis of current approaches to diagnostic decision support, which mainly consist in providing them with guidelines or even full-fledged diagnosis recommendations. We highlight that the use of such decision support systems by physicians raises responsibility issues, but also that it is at odds with the needs and constraints of customary consultations. We argue that the historical choice to favor guidelines or recommendations to physicians implies a very specific vision of what it means to support physicians, and we argue that the flaws of this vision partially ex-A.

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Electronic interface for emergency department management of asthma: A randomized control trial of clinician performance

Abstract: In a simulation trial, use of this electronic interface was associated with improvements in clinical and discharge documentation. Further studies are required to test this prototype in clinical practice.

Cited by 7 publications

References 18 publications

Improving adherence to asthma clinical guidelines and discharge documentation from emergency departments: Implementation of a dynamic and integrated electronic decision support system†

Improving adherence to asthma clinical guidelines and discharge documentation from emergency departments: Implementation of a dynamic and integrated electronic decision support system†

Development of a Simulation Scenario and Evaluation Checklist for Patients With Asthma in Emergency Care

What does it mean to provide decision support to a responsible and competent expert?

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