Web-based blog supplement to evidence-based physical examination teaching

2012 ◽  
Vol 46 (5) ◽  
pp. 508-508 ◽  
Author(s):  
Isaac Bogoch ◽  
Rodrigo Cavalcanti ◽  
Arnold Weinberg ◽  
Benjamin Davis
2020 ◽  
Author(s):  
Kyoung Ja Moon ◽  
Chang-Sik Son ◽  
Jong-Ha Lee ◽  
Mina Park

BACKGROUND Long-term care facilities demonstrate low levels of knowledge and care for patients with delirium and are often not properly equipped with an electronic medical record system, thereby hindering systematic approaches to delirium monitoring. OBJECTIVE This study aims to develop a web-based delirium preventive application (app), with an integrated predictive model, for long-term care (LTC) facilities using artificial intelligence (AI). METHODS This methodological study was conducted to develop an app and link it with the Amazon cloud system. The app was developed based on an evidence-based literature review and the validity of the AI prediction model algorithm. Participants comprised 206 persons admitted to LTC facilities. The app was developed in 5 phases. First, through a review of evidence-based literature, risk factors for predicting delirium and non-pharmaceutical contents for preventive intervention were identified. Second, the app, consisting of several screens, was designed; this involved providing basic information, predicting the onset of delirium according to risk factors, assessing delirium, and intervening for prevention. Third, based on the existing data, predictive analysis was performed, and the algorithm developed through this was calculated at the site linked to the web through the Amazon cloud system and sent back to the app. Fourth, a pilot test using the developed app was conducted with 33 patients. Fifth, the app was finalized. RESULTS We developed the Web_DeliPREVENT_4LCF for patients of LTC facilities. This app provides information on delirium, inputs risk factors, predicts and informs the degree of delirium risk, and enables delirium measurement or delirium prevention interventions to be immediately implemented with a verified tool. CONCLUSIONS This web-based application is evidence-based and offers easy mobilization and care to patients with delirium in LTC facilities. Therefore, the use of this app improves the unrecognized of delirium and predicts the degree of delirium risk, thereby helping initiatives for delirium prevention and providing interventions. This would ultimately improve patient safety and quality of care. CLINICALTRIAL none


2021 ◽  
pp. 004723952110160
Author(s):  
Kristen L. Granger ◽  
Maureen A. Conroy ◽  
Kevin S. Sutherland ◽  
Edward G. Feil ◽  
Jessica Wright ◽  
...  

The purpose of this article is to describe the adaptation process of an evidence-based early childhood Tier-2 intervention program, BEST in CLASS-Prekindergarten, from a face-to-face format to a web-based delivery format called BEST in CLASS-Web. We describe the three-phase iterative development process used to adapt the parent program for delivery via the web. Activities in these phases included focus groups, interviews, an expert panel review, alpha and beta testing (Phase 1), feasibility testing (Phase 2), and a pilot promise study (Phase 3). Each phase included a series of refinements and improvements to materials based on data and stakeholder feedback. Lessons learned and implications for developing and implementing professional development services via online platforms are discussed.


2021 ◽  
Vol 25 (02) ◽  
pp. 57-57
Author(s):  
Sebastian Klien

Dakkak A, Krill MK, Krill ML et al. Evidence-Based Physical Examination for the Diagnosis of Subscapularis Tears: A Systematic Review. Sports Health 2021; 13: 78–84. doi:10.1177/1941738120936232


2018 ◽  
Vol 18 (6) ◽  
pp. 714-716
Author(s):  
Jennifer Benjamin ◽  
Judith Groner ◽  
Jennifer Walton ◽  
Garey Noritz ◽  
Gregg M. Gascon ◽  
...  

2021 ◽  
Author(s):  
Rebeccah Bartlett

BACKGROUND Australian women from migrant and refugee communities report less sexual and reproductive health (SRH) awareness. They experience reduced access to SRH-specific care as well as culturally-relevant support that could assist them to make evidence-based decisions about their own health and service utilisation. Addressing public health problems through human-centred design (HCD) is an ethical and effective approach to developing solutions with underserved populations that are more likely to experience significant disadvantage or social marginalisation. OBJECTIVE This study aimed to evaluate the HCD approach that Shifra, a small Australian-based not-for-profit focused on improving access to healthcare for refugees and new migrants, undertook in developing a web-based application to deliver local, evidence-based and culturally relevant SRH information to its users. The evaluation focused on the following three questions: 1. To what extent did Shifra complete all the steps of the design thinking process shown? 2. To what extent did the final Shifra app incorporate the contributions of all co-designers? 3. To what extent were the co-designers satisfied with the process? METHODS The primary data for the first question involved a thorough review of all of Shifra’s organisational documents. Since there is a notable lack of validated tools evaluate HCD projects a maturity rubric was designed to synthesise the findings from the document review. This rubric was developed through consultation and several iterations of feedback from the expert panel were used to improve the usability, completeness and level of detail of the rubric. RESULTS A co-design process was successfully applied to the development of a web-based app for refugee and migrant women in reproductive health. This evaluation also yielded several important recommendations for improving Shifra’s HCD approach moving forward, findings that can be applied to other projects seeking to undertake an authentic community co-design process. First, with so many people of diverse backgrounds contributing to the project, clear communication about roles and expectations is critical. Second, it is important to set realistic expectations and role clarifications with co-designers. Third, it is important not to view all end users as interchangeable. Finally, by setting aside adequate time to develop collaborative relationships amongst all co-design groups the HCD process is an opportunity to give power and control back to the end user population for whom one is designing the health intervention. CONCLUSIONS Improving refugees’ access to SRH is complex and multidimensional and requires innovative and thoughtful problem solving. HCD is one way to address complex problems in an ethical and effective way and it is how Shifra chose to approach the development of its solution to this problem. This evaluation of Shifra’s HCD approach provides a helpful and rigorous guide in reporting that may encourage other organisations undertaking HCD work to evaluate their own implementation. CLINICALTRIAL N/A


Author(s):  
Nilmini Wickramasinghe ◽  
Steve Goldberg

In today's cost challenged healthcare environment accountable care and evidence-based decision making have become important considerations. Contemporaneous to this is the fact that the superior management of diabetes has become a global priority especially given the exponential increase in the number of diabetes patients as well as the financial implications of treating this silent epidemic. Thus, this research focuses on trying to address these respective yet critical issues by examining the possibility of using a mobile web-based reporting system that taps into existing widely available resources to monitor and manage gestational diabetes. To test this solution, we adopted a randomized control trial with two-arm cross over applied to a not-for profit hospital in Victoria, Australia. From the perspective of practice, we have uncovered far reaching implications for hospital management's cost vs. quality care to patients. In particular, it appears that the adoption of smartphones to support many aspects of care and patient-clinician interactions is prudent.


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