Student Experiences in Web-based Nursing Courses: Benchmarking Best Practices

2004 ◽  
Vol 1 (1) ◽  
Author(s):  
Kendra Seiler ◽  
Diane M Billings
Keyword(s):  
Best Practices ◽  
Student Experiences ◽  
Web Based ◽  
Nursing Courses

Benchmarking Best Practices in Web-Based Nursing Courses

2001 ◽  
Vol 23 (3) ◽  
pp. 41-52 ◽  
Author(s):  
Diane M. Billings ◽  
Helen R. Connors ◽  
Diane J. Skiba
Keyword(s):  
Best Practices ◽  
Web Based ◽  
Nursing Courses

Software Tools for Systematic Literature Review in Medicine: A Review and Feature Analysis (Preprint)

2021 ◽  
Author(s):  
Kathryn Cowie ◽  
Asad Rahmatullah ◽  
Nicole Hardy ◽  
Karl Holub ◽  
Kevin Kallmes
Keyword(s):  
Best Practices ◽  
Software Tools ◽  
Observer Agreement ◽  
Medical Community ◽  
Feature Analysis ◽  
Data Abstraction ◽  
Statistical Software ◽  
Web Based ◽  
Knowledge Support ◽  
Dual Extraction

BACKGROUND Systematic reviews (SRs) are central to evaluating therapies but have high costs in terms of both time and money. Many software tools exist to assist with SRs, but most tools do not support the full process, and transparency and replicability of SR depends on performing and presenting evidence according to established best practices. OBJECTIVE In order to provide a basis for comparing and selecting between software tools that support SR, we performed a feature-by-feature comparison of SR tools. METHODS We searched for SR tools by reviewing any such tool listed the Systematic Review Toolbox, previous reviews of SR tools, and qualitative Google searching. We included all SR tools that were currently functional, and require no coding and excluded reference managers, desktop applications, and statistical software. The list of features to assess was populated by combining all features assessed in four previous reviews of SR tools; we also added five features (Manual Addition, Screening Automation, Dual Extraction, Living review, Public outputs) that were independently noted as best practices or enhancements of transparency/replicability. Then, two reviewers assigned binary “present/absent” assessments to all SR tools with respect to all features, and a third reviewer adjudicated all disagreements. RESULTS Of 49 SR tools found, 27 were excluded, leaving 22 for assessment. Twenty-eight features were assessed across 6 classes, and the inter-observer agreement was 86.46%. DistillerSR, EPPI-Reviewer Web, and Nested Knowledge support the most features (24/28, 86%), followed by Covidence, SRDB.PRO, SysRev (20/28, 71%). Six tools support fewer than half of all features assessed: SyRF, Data Abstraction Assistant, SWIFT-review, SR-Accelerator, RobotReviewer, and COVID-NMA. Notably, only 9 of 22 tools (41%) support direct search, only four (18%) offer dual extraction, and only 9 (41%) offer living/updatable reviews. CONCLUSIONS DistillerSR, EPPI-Reviewer Web, and Nested Knowledge each offer a high density of SR-focused web-based tools. By transparent comparison and discussion regarding SR tool functionality, the medical community can both choose among existing software offerings and note the areas of growth needed, most notably in the support of living reviews.

scholarly journals Knowledge, Attitude and Perception towards COVID-19 Pandemic among Veterinary Professionals and Impacts: A Cross-Sectional Nationwide-Based Survey

COVID ◽  
2021 ◽  
Vol 1 (3) ◽  
pp. 645-665
Author(s):  
Olubukola Adenubi ◽  
Oluwawemimo Adebowale ◽  
Hezekiah Adesokan ◽  
Abimbola Oloye ◽  
Noah Bankole ◽  
...  
Keyword(s):  
Best Practices ◽  
Physical Status ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Web Based ◽  
Postgraduate Qualification ◽  
Level Of Knowledge ◽  
Policy Measures ◽  
Household Members ◽  
Good Attitude

This study evaluated the knowledge, attitude and perception (KAP) towards COVID-19 pandemic control among veterinarians in Nigeria. A nation-wide web-based cross-sectional survey was conducted. Information on KAP towards the COVID-19 pandemic was gathered (April 23 and May 31, 2020) and multivariate logistic regression was performed to identify associated factors. A total of 368 veterinarians participated in the study. The majority of respondents were males (72.8%), between the ages of 30–39 years (39.7%). Generally, respondents displayed a good level of knowledge about COVID-19 (72.4% ± 9.9%, range 44.1–91.2%), while the general attitude level was poor (65.4% ± 10.8, range 35.3–94.1%). Various determinants for good attitude among respondents were: if they were above 60 years old (aOR = 4.49, 95% CI: 1.379–14.594, p = 0.013), possessed postgraduate qualification (aOR = 1.63, 95 CI: 1.045–2.553, p = 0.031), worked over 30 years post DVM (aOR = 5.63, 95% CI: 1.966–16.100, p = 0.001), had household members between five and 10 (aOR = 1.73, 95% CI: 1.130–2.641, p = 0.012), and if respondents’ residence was on total lockdown (aOR = 1.66, 95% CI: 1.070–2.590, p = 0.024). The pandemic had moderate impacts on social, financial and physical status of the participants. Stricter policy measures and educational programs should be implemented to keep veterinarians and the populace informed about the best practices recommended for COVID-19 management.

Digital Government Online Education for Public Managers

2011 ◽  
pp. 3173-3178
Author(s):  
Marc Holzer ◽  
Tony Carrizales ◽  
Younhee Kim
Keyword(s):  
Best Practices ◽  
Online Education ◽  
Citizen Participation ◽  
Critical Role ◽  
Electronic Government ◽  
Digital Government ◽  
Web Based ◽  
Public Managers ◽  
Information And Communication ◽  
Public Manager

The opportunities that arise from the practice of digital government continue to increase. Public managers responsible for adopting and implementing such new practices will be searching for existing best practices to incorporate into their respective communities. They may choose to rely on their information and communication technology (ICT) departments to develop necessary digital government applications, but an appealing option for public managers is to familiarize themselves with the most recent digital government applications through Web-based courses. Online education eliminates distances, allows for flexible scheduling and can incorporate current best practices of electronic-government on a timely basis. Public managers play a critical role in the development of digital government initiatives (Halachmi, 2004; Heeks, 1999; Ho, 2002; Melitski, 2003; Weare, Musso & Hale, 1999). Although public managers can refer to numerous individuals within government municipalities, in the case of digital government, the chief administrative officer (CAO) is often the key individual in deciding the direction of government initiatives. By completing Web-based courses, CAOs can assess and strategically plan for effective and efficient digital government in their communities. Melitski (2003) argues that there is a need for public mangers that are “familiar with both IT and the programmatic goals and missions of public organizations” (p. 389). With respect to implementing digital citizen participation in government, Holzer, Melitski, Rho, and Schwester (2004) state, as their primary recommendation, “governments should work harder to identify, study, and implement best practices” (p. 28). The means to study such best practices, however, have generally been scarce, and the literature has been limited to specialized e-government reports and articles. But Web-based courses now offer the means for a CAO or any other public manager to study digital government practices and theories in a more effective and convenient manner.

Improving Knowledge and Information Sharing to Promote Best Practices in Stroke Care

2013 ◽  
Vol 2 (1) ◽  
pp. 11-25 ◽  
Author(s):  
Elizabeth Sternke ◽  
Nicholas Burrus ◽  
Virginia Daggett ◽  
Laurie Plue ◽  
Katherine Carlson ◽  
...  
Keyword(s):  
Best Practices ◽  
Qualitative Interviews ◽  
Stroke Care ◽  
Care Quality ◽  
Veterans Health ◽  
Health Administration ◽  
Web Based ◽  
Geographically Dispersed ◽  
User Friendly

Despite many advances in stroke care treatment, there is substantial room for improvement in quality of care for stroke patients. In an attempt to disseminate up-to-date quality information and evidence-based best practices of stroke care, the Veterans Health Administration (VHA)and the VHA Stroke QUERI implemented an innovative web-based toolkit tailored for providers and program planners interested in improving stroke care quality. This study evaluated the VA Stroke QUERI Toolkit to determine its most useful aspects and those that require improvement. In-depth qualitative interviews (n = 48) were conducted with a geographically dispersed sample of clinicians and program planners throughout the VHA system. Findings suggest the Stroke QUERI toolkit was perceived as an effective, efficient and user-friendly site but knowledge of the toolkit continues to be initiated and shared mainly through individuals and small groups. To achieve greater impact a comprehensive set of strategies designed to encourage broader uptake is required.

scholarly journals Best (but oft-forgotten) practices: identifying and accounting for regression to the mean in nutrition and obesity research

2019 ◽  
Vol 111 (2) ◽  
pp. 256-265 ◽  
Author(s):  
Diana M Thomas ◽  
Nicholas Clark ◽  
Dusty Turner ◽  
Cynthia Siu ◽  
Tanya M Halliday ◽  
...  
Keyword(s):  
Best Practices ◽  
Repeated Measurements ◽  
Regression To The Mean ◽  
Intervention Effects ◽  
Measured Variable ◽  
Web Based ◽  
Obesity Research ◽  
Secondary Analyses ◽  
The Mean ◽  
Study Designs

ABSTRACT Background Regression to the mean (RTM) is a statistical phenomenon where initial measurements of a variable in a nonrandom sample at the extreme ends of a distribution tend to be closer to the mean upon a second measurement. Unfortunately, failing to account for the effects of RTM can lead to incorrect conclusions on the observed mean difference between the 2 repeated measurements in a nonrandom sample that is preferentially selected for deviating from the population mean of the measured variable in a particular direction. Study designs that are susceptible to misattributing RTM as intervention effects have been prevalent in nutrition and obesity research. This field often conducts secondary analyses of existing intervention data or evaluates intervention effects in those most at risk (i.e., those with observations at the extreme ends of a distribution). Objectives To provide best practices to avoid unsubstantiated conclusions as a result of ignoring RTM in nutrition and obesity research. Methods We outlined best practices for identifying whether RTM is likely to be leading to biased inferences, using a flowchart that is available as a web-based app at https://dustyturner.shinyapps.io/DecisionTreeMeanRegression/. We also provided multiple methods to quantify the degree of RTM. Results Investigators can adjust analyses to include the RTM effect, thereby plausibly removing its biasing influence on estimating the true intervention effect. Conclusions The identification of RTM and implementation of proper statistical practices will help advance the field by improving scientific rigor and the accuracy of conclusions. This trial was registered at clinicaltrials.gov as NCT00427193.

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