Web-Based Screening Tool for Shared-Use Rail Corridors

2014 ◽  
Author(s):  
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Keyword(s):  
2014 ◽  
Vol 18 ◽  
pp. e6
Author(s):  
K. Norton ◽  
P. Keyzer ◽  
J. Dietrich ◽  
V. Jones ◽  
B. Sekendiz ◽  
...  

2004 ◽  
Vol 32 (Web Server) ◽  
pp. W638-W644 ◽  
Author(s):  
B. D. Halligan ◽  
V. Ruotti ◽  
W. Jin ◽  
S. Laffoon ◽  
S. N. Twigger ◽  
...  

2017 ◽  
Vol 98 ◽  
pp. 21-34 ◽  
Author(s):  
Vlad Isakov ◽  
Timothy M. Barzyk ◽  
Elizabeth R. Smith ◽  
Saravanan Arunachalam ◽  
Brian Naess ◽  
...  

2014 ◽  
Vol 39 (3) ◽  
pp. 413-414 ◽  
Author(s):  
JoAnne Arcand ◽  
Kasim Abdulaziz ◽  
Carol Bennett ◽  
Mary R. L’Abbé ◽  
Douglas G. Manuel

Dietary sodium reduction is commonly used in the treatment of hypertension, heart and liver failure, and chronic kidney disease. Sodium reduction is also an important public health problem since most of the Canadian population consumes sodium in excess of their daily requirements. Lack of awareness about the amount of sodium consumed and the sources of sodium in diet is common, and undoubtedly a major contributor to excess sodium consumption. There are few known tools available to screen and provide personalized information about sodium in the diet. Therefore, we developed a Web-based sodium intake screening tool called the Salt Calculator ( www.projectbiglife.ca ), which is publicly available for individuals to assess the amount and sources of sodium in their diet. The Calculator contains 23 questions focusing on restaurant foods, packaged foods, and added salt. Questions were developed using sodium consumption data from the Canadian Community Health Survey cycle 2.2 and up-to-date information on sodium levels in packaged and restaurant food databases from the University of Toronto. The Calculator translates existing knowledge about dietary sodium into a tool that can be accessed by the public as well as integrated into clinical practice to address the high levels of sodium presently in the Canadian diet.


2018 ◽  
Vol 6 ◽  
pp. 1001-1006
Author(s):  
Lily Andonova ◽  
Maya Georgieva ◽  
Alexander Zlatkov

Aiming to obtain preliminary information on the toxicity, stability and pharmacokinetic behavior of a group of 12 methylxanthines, containing an arylpiperazine moiety at N1, we applied three virtual methods for prediction. The online hazard-screening tool-PBT profiler was used for toxicity evaluation. The pharmacokinetic behavior and drug like properties of the tested compounds were predicted by two online platforms: Molinspiration Cheminformatics and OSIRIS web-based server. The PBT-profiler tool determined, that the investigated compounds are soil persistent, do not bioaccumulate in the food chain and with the exception of the structures containing bulky bi-phenyl substituents all other molecules are of moderate toxicity. All tested compounds meet Lipinski’s Rule of Five border conditions and have high values for drug likeness and drug score, which makes them suitable for future optimizations.


JMIR Diabetes ◽  
10.2196/21356 ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. e21356
Author(s):  
Kari Jalkanen ◽  
Riia Järvenpää ◽  
Tanja Tilles-Tirkkonen ◽  
Janne Martikainen ◽  
Emma Aarnio ◽  
...  

Background Clinical trials have shown that type 2 diabetes (T2D) is preventable through lifestyle interventions targeting high-risk people. Nevertheless, large-scale implementation of risk identification followed by preventive interventions has proven to be challenging. Specifically, recruitment of participants into preventive interventions is an important but often overlooked part of the intervention. Objective This study aims to compare the reach and yield of different communication channels to engage people at increased risk of T2D to fill in a digital screening questionnaire, with emphasis on reaching those at most risk. The participants expressing their willingness to participate is the final step in the risk screening test, and we aim to determine which channels had the most participants reach this step. Methods We established a stepwise web-based T2D risk screening tool with automated feedback according to the T2D risk level and, for those who were eligible, an invitation to participate in the StopDia prevention intervention study conducted in a primary health care setting. The risk estimate was based on the Finnish Diabetes Risk Score; history of repeatedly measured high blood glucose concentration; or, among women, previous gestational diabetes. We used several channels to invite people to the StopDia web-based screening tool, and respondents were classified into 11 categories based on the channel through which they reported having learned about StopDia. The demographics of respondents reached via different communication channels were compared using variance analysis. Logistic regression was used to study the respondents’ likelihood of progressing through risk screening steps. Results A total of 33,399 persons started filling the StopDia screening tool. Of these, 86.13% (28,768/33,399) completed the test and named at least one communication channel as the source of information about StopDia. Altogether, 26,167 persons filled in sufficient information to obtain risk estimates. Of them, 53.22% (13,925/26,167) were at increased risk, 30.06% (7866/26,167) were men, and 39.77% (10,136/25,485) had low or middle education levels. Most frequently mentioned channels were workplace (n=6817), social media or the internet (n=6712), and newspapers (n=4784). The proportion of individuals at increased risk was highest among those reached via community pharmacies (415/608, 68.3%) and health care (1631/2535, 64.33%). The communication channel reaching the largest percentage of interested and eligible men (1353/3979, 34%) was relatives or friends. Health care (578/1069, 54.07%) and radio or television (225/487, 46.2%) accounted for the largest proportion of people with lower education. Conclusions Communication channels reaching a large number of people, such as social media and newspapers, were the most effective channels for identifying at-risk people. Personalized approaches increased the engagement of men and less-educated people. Community pharmacies and health care services reached people with a particularly high T2D risk. Thus, communication and recruitment channels should be selected and modified based on the intended target group. International Registered Report Identifier (IRRID) RR2-10.1186/s12889-019-6574-y


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