Teaching quantitative ecology online: An evidence‐based prescription of best practices

BACKGROUND Data visualization experts have identified core principles to follow when creating visual displays of data that facilitate comprehension. Such principles can be applied to creating effective reports for clinicians that display compliance with quality improvement protocols. A basic tenet of implementation science is continuous monitoring and feedback. Applying best practices for data visualization to reports for clinicians can catalyze implementation and sustainment of new protocols. OBJECTIVE To apply best practices for data visualization to create reports that clinicians find clear and useful. METHODS First, we conducted a systematic literature review to identify best practices for data visualization. We applied these findings and feedback collected via a questionnaire to improve the Fall TIPS Monthly Report (FTMR), which shows compliance with an evidence-based fall prevention program, Fall TIPS (Tailoring Interventions for Patient Safety). This questionnaire was based on the requirements for effective data display suggested by expert Stephen Few. We then evaluated usability of the FTMR using a 15-item Health Information Technology Usability Evaluation Scale (Health-ITUES). Items were rated on a 5-point Likert scale from strongly disagree (1) to strongly agree (5). RESULTS The results of the systematic literature review emphasized that the ideal data display maximizes the information communicated while minimizing the cognitive efforts involved with data interpretation. Factors to consider include selecting the correct type of display (e.g. line vs bar graph) and creating simplistic reports. The qualitative and quantitative evaluations of the original and final FTMR revealed improved perceptions of the visual display of the reports and their usability. Themes that emerged from the staff interviews emphasized the value of simplified reports, meaningful data, and usefulness to clinicians. The mean (SD) rating on the Health-ITUES scale when evaluating the original FTMR was 3.86 (0.19) and increased to 4.29 (0.11) when evaluating the revised FTMR (Mann Whitney U Test, z=-12.25, P<0.001). CONCLUSIONS Best practices identified through a systematic review can be applied to create effective reports for clinician use. The lessons learned from evaluating FTMR perceptions and measuring usability can be applied to creating effective reports for clinician use in the context of other implementation science projects.

Dental Education and Evidence-Based Educational Best Practices: Bridging the Great Divide

Journal of Dental Education ◽

10.1002/j.0022-0337.2004.68.12.tb03876.x ◽

2004 ◽

Vol 68 (12) ◽

pp. 1266-1271 ◽

Cited By ~ 31

Author(s):

Richard S. Masella ◽

Thomas J. Thompson

Keyword(s):

Best Practices ◽

Dental Education ◽

Evidence Based ◽

Great Divide

Human Factors Considerations for Patients: A Cursory Review of Telehealth Guidelines

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181321651340 ◽

2021 ◽

Vol 65 (1) ◽

pp. 943-947

Author(s):

Sarah A. Powers ◽

Kimberly N. Perry ◽

Amanda J. Ashdown ◽

Matthew Pacailler ◽

Mark W. Scerbo

Keyword(s):

Best Practices ◽

Human Factors ◽

Healthcare Providers ◽

Evidence Based ◽

Environmental Requirements ◽

Laws And Policies

During the COVID-19 pandemic, changes to telehealth laws and policies enabled more patients to meet with their healthcare providers remotely. The rapid implementation of telehealth has resulted in providers and patients interacting remotely with few existing standards or guidelines. Additionally, a cursory search of telehealth guidelines for patients revealed overly broad recommendations related to technology, security, and environmental requirements. Although researchers have recommended some human factors considerations for guidelines, these recommendations were rarely implemented in the guidelines we reviewed. Therefore, human factors professionals can contribute further by implementing best practices for telehealth appointments to create evidence-based standardized guidelines. Some initial areas to focus on include accessibility for patients, overcoming typical telehealth barriers, and addressing a wider diversity of patients.

Engaging Multidisciplinary Stakeholders to Drive Shared Decision-Making in Oncology

Journal of Palliative Care ◽

10.1177/0825859718810723 ◽

2018 ◽

Vol 34 (1) ◽

pp. 29-31 ◽

Cited By ~ 6

Author(s):

Gabrielle Rocque ◽

Ellen Miller-Sonnet ◽

Alan Balch ◽

Carrie Stricker ◽

Josh Seidman ◽

...

Keyword(s):

Health Care ◽

Decision Making ◽

Best Practices ◽

Shared Decision Making ◽

Best Practice ◽

Care Delivery ◽

Evidence Based ◽

Shared Decision ◽

Oncology Practice ◽

Development And Validation

Although recognized as best practice, regular integration of shared decision-making (SDM) approaches between patients and oncologists remains an elusive goal. It is clear that usable, feasible, and practical tools are needed to drive increased SDM in oncology. To address this goal, we convened a multidisciplinary collaborative inclusive of experts across the health-care delivery ecosystem to identify key principles in designing and testing processes to promote SDM in routine oncology practice. In this commentary, we describe 3 best practices for addressing challenges associated with implementing SDM that emerged from a multidisciplinary collaborative: (1) engagement of diverse stakeholders who have interest in SDM, (2) development and validation of an evidence-based SDM tool grounded within an established conceptual framework, and (3) development of the necessary roadmap and consideration of the infrastructure needed for engendering patient engagement in decision-making. We believe these 3 principles are critical to the success of creating SDM tools to be utilized both within and outside of clinical practice. We are optimistic that shared use across settings will support adoption of this tool and overcome barriers to implementing SDM within busy clinical workflows. Ultimately, we hope that this work will offer new perspectives on what is important to patients and provide an important impetus for leveraging patient preferences and values in decision-making.

Development of an assessment and intervention protocol for postpartum hemorrhage in the mainland of China: an evidence-based method and Delphi consult

Frontiers of Nursing ◽

10.2478/fon-2019-0047 ◽

2019 ◽

Vol 6 (4) ◽

pp. 285-291

Author(s):

Ying Liu ◽

Ya-Jing Fan ◽

Wei Zhuang ◽

Qun Huang

Keyword(s):

Best Practices ◽

Delphi Method ◽

Postpartum Hemorrhage ◽

Selection Criteria ◽

Evidence Based ◽

Early Assessment ◽

Modified Delphi ◽

Intervention Protocol ◽

The Mainland Of China ◽

Assessment Questionnaire

Abstract Objective Postpartum hemorrhage (PPH) is a leading cause of maternal death. Although guidelines have been updated, those with detailed protocols are limited for nursing practice. This study aims at establishing an early assessment and intervention protocol as a toolkit for PPH for midwives and obstetrical nurses. Methods Employing the evidence-based method, a systematic Internet search of guidelines was conducted and appraisal of literatures was conducted with AGREE system and Oxman-Guyatt Overview Quality Assessment Questionnaire (OQAQ), according to which a protocol draft was therefore developed. Then, a two-round modified Delphi method was utilized to reach a consensus of the protocol built on best practices. Selection criteria for each intervention measure included consensus level with a threshold of 70%, mean of importance (M) >3.5, and coefficient of variation (CV) <0.25. Reliability of experts’ opinion was calculated by positive coefficient and authoritative coefficient. Items without consistency were enlisted in the second-round consult. When all items met the selection criteria, the protocol would be finally formulated. Results A 122-measure protocol was established, including prevention, assessment, and intervention of PPH. With a panel of 14 experts participated in the consult, the positivity coefficient was 0.93 and 1.00 for two rounds, respectively, and the authority coefficient was 0.88. After a two-round consult and revision of the draft, the final program was formulated, containing 5 first-level indexes and 14 second-level indexes with a total item of 120. Conclusions The PPH protocol, based on high-quality evidences, was formulated with a two-round Delphi method, which can provide insight for midwives and obstetrical nurses to effectively deal with PPH.

Rethinking Streets for Physical Distancing

10.15760/trec.257 ◽

2021 ◽

Author(s):

Marc Schlossberg ◽

◽

Rebecca Lewis ◽

Aliza Whalen ◽

Clare Haley ◽

...

Keyword(s):

Best Practices ◽

Case Studies ◽

Evidence Based ◽

The Third ◽

Spatial Equity ◽

Outdoor Space ◽

Primary Output ◽

Page Book

This report summarizes the primary output of this project, a book of COVID-era street reconfiguration case studies called Rethinking Streets During COVID-19: An Evidence-Based Guide to 25 Quick Redesigns for Physical Distancing, Public Use, and Spatial Equity. COVID-era needs have accelerated the process that many communities use to make street transformations due to: a need to remain physically distanced from others outside our immediate household; a need for more outdoor space close to home in every part of every community to access and enjoy; a need for more space to provide efficient mobility for essential workers in particular; and a need for more space for local businesses as they try to remain open safely. This project is the third in a series of NITC-supported case study books on best practices in street reconfigurations for more active, sustainable, and in this case, COVID-supportive uses. The full, 154-page book is available for free download from the National Institute for Transportation and Communities (NITC).

An analysis of evidence-based best practices in the public vocational rehabilitation program: Gaps, future directions, and recommended steps to move forward

Journal of Vocational Rehabilitation ◽

10.3233/jvr-140707 ◽

2014 ◽

Vol 41 (2) ◽

pp. 147-163 ◽

Cited By ~ 16

Author(s):

Michael J. Leahy ◽

Fong Chan ◽

John Lui ◽

David Rosenthal ◽

Timothy Tansey ◽

...

Keyword(s):

Best Practices ◽

Vocational Rehabilitation ◽

Rehabilitation Program ◽

Evidence Based ◽

Future Directions ◽

The Public

Naturalistic Decision Making and the Practice of Health Care

Journal of Cognitive Engineering and Decision Making ◽

10.1177/1555343418773915 ◽

2018 ◽

Vol 12 (3) ◽

pp. 178-193 ◽

Cited By ~ 9

Author(s):

Paul R. Falzer

Keyword(s):

Health Care ◽

Decision Making ◽

Best Practices ◽

Clinical Decision Making ◽

Resistance To Change ◽

Care Practice ◽

Evidence Based ◽

Naturalistic Decision Making ◽

Late 20Th Century ◽

Care Community

A recent essay in this journal identified health care as a fertile domain for extending the reach of naturalistic decision making (NDM). It targeted the “best practices regimen,” a host of initiatives begun in the late 20th century that address problems in service delivery, skyrocketing costs, and impediments in transforming products of basic science into effective treatments. Of particular importance are efforts to base treatment decisions on empirical research findings and to gauge the quality of decisions by their conformance to evidence-based practices. The challenges that the essay identified and the ways of addressing these challenges are well known in the health care community. They have had limited impact owing to several factors, including how advocates of the best practices regimen envision clinical decision making and their tendency to equate the exercise of skill with resistance to change. This paper describes the regimen’s concept of decision making and its principles and deficiencies. It also identifies a conundrum: oversimplification prevents complexity from being recognized; as a result, evidence-based recommendations frequently have unforeseeable and deleterious consequences. The paper proposes that NDM is well positioned to address these problems and make a valuable contribution to health care practice. It illustrates NDM-based theories and concepts with a research example and describes their ability to address complex issues that arise in treating chronic illnesses.

Evidence-Based Best Practices

Clinical Nuclear Medicine ◽

10.1097/rlu.0000000000003690 ◽

2021 ◽

Vol Publish Ahead of Print ◽

Author(s):

Gary A. Ulaner ◽

Heather A. Jacene ◽

Ashwin Singh Parihar ◽

David Groheux

Keyword(s):

Best Practices ◽

Evidence Based