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نتیجه جستجو - Clinical protocol

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 Bundle-of-care interventions to improve self-management of patients with urinary catheters: Study protocol
مداخلات بسته مراقبتی برای بهبود خود مدیریتی بیماران با سوندهای ادراری: پروتکل مطالعه-2021
Background: Community-based urinary catheter-associated complications contribute to avoidable, costly hospital presentations. To minimise catheter-associated complications and improve the quality of life of patients living in the community, it is essential to improve catheter self-management through increasing patients’ and caregivers’ knowledge and self-efficacy.
Aim: To co-design, develop and evaluate a bundle-of-care intervention to improve catheter selfmanagement, reduce catheter-associated complications, and improved quality of life.
Design: Mixed methods design underpinned by the principles of Appreciative Inquiry, micro- and spacedlearning pedagogies. Methods: A co-designed care bundle will be developed, to support both patients and nurses in improving catheter care in both acute and community settings. Intervention bundles for patients will be delivered using “GoShare Healthcare” and for nurses, using QStream. The underpinning pedagogical approaches of these two digital platforms focus on increasing knowledge retention and improving patient health outcomes.
A process evaluation of the intervention will be undertaken using data collected from surveys, electronic medical record audits, and participant interviews. The primary outcome is improved catheter selfmanagement, and secondary outcomes are increased self-efficacy and patients’ knowledge of catheter self-management.
Discussion: The IQ-IDC study applies a two-pronged approach to co-design a bundle-of-care intervention that addresses important gaps in current catheter management. This study will contribute to new knowledge on effective implementation strategies to optimise self-management in urinary catheter care.
keywords: سوند ادرار | بسته های مراقبت | خود مدیریت | خودپرداز | گوشی های هوشمند | پروتکل بالینی | Urinary catheter | Care bundles | Self-management | Self-efficacy | Smart phone | Clinical protocol
مقاله انگلیسی
2 Classification algorithms analysis for brain–computer interface indrug craving therapy
تجزیه و تحلیل الگوریتم های طبقه بندی برای درمان لاغری رابط کاربری مغز و کامپیوتر-2019
This paper presents a novel therapy to recover patients from drug craving diseases, with the use ofbrain–computer interfaces (BCIs). The clinical protocol consists of trying to mentally repel drug-relatedimages, and a Stroop test is used to evaluate the blue therapy effect. The method requires a BCI hard-ware package and a software program which communicates with the device. In order to improve theBCI detection rates, data were collected from five different healthy subjects during the training. Thesemeasurements are then used to design a better classification algorithm with respect to the default BCIclassifier. The investigated algorithms are logistic regression, support vector machines, decision trees,k-nearest neighbors and Naive Bayes. Although the low number of participants is not enough to guaran-tee statistically significant results, the designed algorithms perform better than the default one, in termsof accuracy, F1-score and area under the curve (AUC). The Naive Bayes method has been chosen as thebest classifier between the tested ones, giving a +12.21% performance boost as concerns the F1-scoremetric. The presented methodology can be extended to other types of craving problems, such as food,pornography and alcohol. Results relative to the effectiveness of the proposed approach are reported ona set of patients with drug craving problems.
Keywords:Machine learning | Pattern recognition | Brain–computer interface | Signal processing
مقاله انگلیسی
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