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Objective: This study aimed to create and develop a well-designed, theoretically driven, evidence-based, digital, decision Tool to Empower Parental Telling and Talking (TELL Tool) prototype.
Methods: This developmental study used an inclusive, systematic, and iterative process to formulate a prototype TELL Tool: the first digital decision aid for parents who have children 1 to 16 years of age and used donated gametes or embryos to establish their families. Recommendations from the International Patient Decision Aids Standards Collaboration and from experts in decision aid development, digital health interventions, design thinking, and instructional design guided the process.
Results: The extensive developmental process incorporated researchers, clinicians, parents, children, and other stakeholders, including donor-conceived adults. We determined the scope and target audience of the decision aid and formed a steering group. During design work, we used the decision-making process model as the guiding framework for selecting content. Parents' views and decisional needs were incorporated into the prototype through empirical research and review, appraisal, and synthesis of the literature. Clinicians' perspectives and insights were also incorporated. We used the experiential learning theory to guide the delivery of the content through a digital distribution plan. Following creation of initial content, including storyboards and scripts, an early prototype was redrafted and redesigned based on feedback from the steering group. A final TELL Tool prototype was then developed for alpha testing.
Conclusions: Detailing our early developmental processes provides transparency that can benefit the donor-conceived community as well as clinicians and researchers, especially those designing digital decision aids. Future research to evaluate the efficacy of the TELL Tool is planned.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10467186 | PMC |
http://dx.doi.org/10.1177/20552076231194934 | DOI Listing |
Heliyon
December 2024
School of Business Administration, Zhongnan University of Economics and Law, Wuhan, 430073, China.
Land use planning tools are essential for effective land management. However, existing research has not thoroughly explored the evolution and future potential of these tools. This study addresses this gap through comprehensive literature review and data collection, mapping the progression of land use planning tools from their inception to their future trajectories.
View Article and Find Full Text PDFHeliyon
December 2024
Chair of Construction Management, Ethiopian Institute of Architecture Building Construction and City Development (EiABC), Addis Ababa University, Addis Ababa, Ethiopia.
BIM-Enabled Asset Information Modelling (AIM) entails incorporating extensive data, known as big data, into digital platforms for informed decision-making. However, the lack of accurate and reliable data and the immaturity of BIM integration in existing buildings lead to operational phase performance inefficiencies due to inadequate data access. A strategic approach using BIM-enabled AIM is proposed to address these challenges, with the goal of enhancing data accessibility and adequacy for the operational team's performance.
View Article and Find Full Text PDFFront Public Health
December 2024
Population Health and Systems Cooperative, School of Nursing, University of Minnesota, Minneapolis, MN, United States.
Pharmaceut Med
December 2024
Medical Affairs Department, AstraZeneca Farmacéutica Spain, C. del Puerto de Somport 21-23, Fuencarral-El Pardo, 28050, Madrid, Spain.
Introduction: The rapidly evolving healthcare landscape has prompted Medical Affairs (MA) departments within pharmaceutical companies to transition from their traditional role as information providers to becoming strategic partners in the healthcare ecosystem. Responding to the increasing complexity of patient needs and stakeholder dynamics within Spain's national health system, this shift emphasizes the importance of aligning MA functions with broader healthcare goals. Effective transformation requires in-depth assessments of stakeholder trends and expectations.
View Article and Find Full Text PDFPLOS Digit Health
December 2024
Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Digital clinical decision support tools have contributed to improved quality of care at primary care level health facilities. However, data from real-world randomized trials are lacking. We conducted a cluster randomized, open-label trial in Tanzania evaluating the use of a digital clinical decision support algorithm (CDSA), enhanced by point-of-care tests, training and mentorship, compared with usual care, among sick children 2 to 59 months old presenting to primary care facilities for an acute illness in Tanzania (ClinicalTrials.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!