Faculty Opinions recommendation of Evidence-based clinical practice guidelines for integrative oncology: complementary therapies and botanicals.

Author(s):  
Nathan Cherny
2021 ◽  
pp. 205715852110069
Author(s):  
Åsa Falchenberg ◽  
Ulf Andersson ◽  
Birgitta Wireklint Sundström ◽  
Anders Bremer ◽  
Henrik Andersson

Emergency care nurses (ECNs) face several challenges when they assess patients with different symptoms, signs, and conditions to determine patients’ care needs. Patients’ care needs do not always originate from physical or biomedical dysfunctions. To provide effective patient-centred care, ECNs must be sensitive to patients’ unique medical, physical, psychological, social, and existential needs. Clinical practice guidelines (CPGs) provide guidance for ECNs in such assessments. The aim of this study was to evaluate the quality of CPGs for comprehensive patient assessments in emergency care. A quality evaluation study was conducted in Sweden in 2017. Managers from 97 organizations (25 emergency medical services and 72 emergency departments) were contacted, covering all 20 Swedish county councils. Fifteen guidelines were appraised using the validated Appraisal of Guidelines for Research & Evaluation II (AGREE II) tool. The results revealed that various CPGs are used in emergency care, but none of the CPGs support ECNs in performing a comprehensive patient assessment; rather, the CPGs address parts of the assessment primarily related to biomedical needs. The results also demonstrate that the foundation for evidence-based CPGs is weak and cannot confirm that an ECN has the prerequisites to assess patients and refer them to treatment, such as home-based self-care. This may indicate that Swedish emergency care services utilize non-evidence-based guidelines. This implies that ECN managers and educators should actively seek more effective ways of highlighting and safeguarding patients’ various care needs using more comprehensive guidelines.


2019 ◽  
Vol 23 (4) ◽  
Author(s):  
Anna Wierzbicka-Rot ◽  
Artur Gadomski

In February 2019 American Academy of Otolaryngology-Head and Neck Surgery published clinical practice guidelines which provides evidence-based recommendations that applies to children under consideration for tonsillectomy. This update to the 2011 publication includes large amount of new, practical information about pre-, intra- and postoperative care and management, that can be useful for surgeons as well as GPs and pediatricians


2016 ◽  
Vol 20 (4) ◽  
pp. 510-510
Author(s):  
Shigeo Horie ◽  
Toshio Mochizuki ◽  
Satoru Muto ◽  
Kazushige Hanaoka ◽  
Yoshimitsu Fukushima ◽  
...  

2018 ◽  
Author(s):  
Jhon Camacho ◽  
Ana María Medina Ch. ◽  
Zach Landis-Lewis ◽  
Gerald Douglas ◽  
Richard Boyce

BACKGROUND The distribution of printed materials is the most frequently used strategy to disseminate and implement clinical practice guidelines, although several studies have shown that the effectiveness of this approach is modest at best. Nevertheless, there is insufficient evidence to support the use of other strategies. Recent research has shown that the use of computerized decision support presents a promising approach to address some aspects of this problem. OBJECTIVE The aim of this study is to provide qualitative evidence on the potential effect of mobile decision support systems to facilitate the implementation of evidence-based recommendations included in clinical practice guidelines. METHODS We will conduct a qualitative study with two arms to compare the experience of primary care physicians while they try to implement an evidence-based recommendation in their clinical practice. In the first arm, we will provide participants with a printout of the guideline article containing the recommendation, while in the second arm, we will provide participants with a mobile app developed after formalizing the recommendation text into a clinical algorithm. Data will be collected using semistructured and open interviews to explore aspects of behavioral change and technology acceptance involved in the implementation process. The analysis will be comprised of two phases. During the first phase, we will conduct a template analysis to identify barriers and facilitators in each scenario. Then, during the second phase, we will contrast the findings from each arm to propose hypotheses about the potential impact of the system. RESULTS We have formalized the narrative in the recommendation into a clinical algorithm and have developed a mobile app. Data collection is expected to occur during 2018, with the first phase of analysis running in parallel. The second phase is scheduled to conclude in July 2019. CONCLUSIONS Our study will further the understanding of the role of mobile decision support systems in the implementation of clinical practice guidelines. Furthermore, we will provide qualitative evidence to aid decisions made by low- and middle-income countries’ ministries of health about investments in these technologies.


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