Evidence-based parent and family interventions in school psychology: Conceptual and methodological considerations in advancing best practices.

2005 ◽  
Vol 20 (4) ◽  
pp. 504-511 ◽  
Author(s):  
Thomas R. Kratochwill ◽  
Kimberly Eaton Hoagwood
Keyword(s):  
School Psychology ◽  
Best Practices ◽  
Evidence Based ◽  
Family Interventions ◽  
Methodological Considerations

Best Practices for Data Visualization: Creating and Evaluating a Report for an Evidence-Based Fall Prevention Program (Preprint)

2018 ◽  
Author(s):  
Srijesa Khasnabish ◽  
Zoe Burns ◽  
Madeline Couch ◽  
Mary Mullin ◽  
Randall Newmark ◽  
...  
Keyword(s):  
Literature Review ◽  
Best Practices ◽  
Implementation Science ◽  
Data Visualization ◽  
Systematic Literature Review ◽  
Fall Prevention ◽  
Prevention Program ◽  
Evidence Based ◽  
Data Display ◽  
Fall Prevention Program

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.

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

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.

scholarly journals Engaging Multidisciplinary Stakeholders to Drive Shared Decision-Making in Oncology

2018 ◽  
Vol 34 (1) ◽  
pp. 29-31 ◽  
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.

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