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Development of an Online Contraceptive Decision Aid for Transgender and Gender-Nonconforming Assigned Female at Birth Individuals

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Transgender and gender-nonconforming assigned female at birth (AFAB) individuals are consistently excluded when discussing sexual health and contraceptive methods and face unique challenges in accessing sexual healthcare as gender dysphoria heavily influences their decision-making process as well as fear of discrimination from healthcare providers and settings. The research aim of…

Transgender and gender-nonconforming assigned female at birth (AFAB) individuals are consistently excluded when discussing sexual health and contraceptive methods and face unique challenges in accessing sexual healthcare as gender dysphoria heavily influences their decision-making process as well as fear of discrimination from healthcare providers and settings. The research aim of this project is to develop an online contraceptive decision aid tailored to transgender and gender-nonconforming AFAB individuals. MyChoiceForAll is built using the gaps identified in healthcare research and existing resources provided by Planned Parenthood and Bedsider, alongside feedback from a development focus group. The tool is a four-paged quiz that returns two pages of information and resources for a variety of different contraceptive methods for transgender and gender-nonconforming AFAB individuals as well as connecting them to trans-friendly providers. The evaluation phase includes simulated test cases, a survey, and a second focus group to assess for accuracy, usefulness, usability, and general impressions of the tool. 94.3% of the 105 test cases resulted in an accurate recommendation that aligns with user input. Over 75.00% of survey participants overwhelmingly believed the MyChoiceForAll tool to be beneficial in providing appropriate and inclusive educational material about contraceptives, prompting users for relevant lifestyle, preferences, and gender identity decision factors, and being overall inclusive of users’ gender identity. Evaluation focus group participants believe that MyChoiceForAll performs better overall compared to the Planned Parenthood quiz, Bedsider matrix, and MyContraceptiveChoice in general impressions and inclusivity of transgender and gender-nonconforming individuals and their preferences. In conclusion, MyChoiceForAll accomplishes its goal of developing an accessible and inclusive resource for transgender and gender-nonconforming AFAB individuals in assisting with the birth control selection process.
ContributorsHoang, Vi-Anh (Author) / Wang, Dongwen (Thesis director) / Brian, Jenny (Committee member) / Barrett, The Honors College (Contributor) / School of Earth and Space Exploration (Contributor) / College of Health Solutions (Contributor)
Created2023-05
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Utilization of automated location tracking for clinical workflow analytics and visualization

Description
The analysis of clinical workflow offers many challenges to clinical stakeholders and researchers, especially in environments characterized by dynamic and concurrent processes. Workflow analysis in such environments is essential for monitoring performance and finding bottlenecks and sources of error. Clinical workflow analysis has been enhanced with the inclusion of modern…

The analysis of clinical workflow offers many challenges to clinical stakeholders and researchers, especially in environments characterized by dynamic and concurrent processes. Workflow analysis in such environments is essential for monitoring performance and finding bottlenecks and sources of error. Clinical workflow analysis has been enhanced with the inclusion of modern technologies. One such intervention is automated location tracking which is a system that detects the movement of clinicians and equipment. Utilizing the data produced from automated location tracking technologies can lead to the development of novel workflow analytics that can be used to complement more traditional approaches such as ethnography and grounded-theory based qualitative methods. The goals of this research are to: (i) develop a series of analytic techniques to derive deeper workflow-related insight in an emergency department setting, (ii) overlay data from disparate sources (quantitative and qualitative) to develop strategies that facilitate workflow redesign, and (iii) incorporate visual analytics methods to improve the targeted visual feedback received by providers based on the findings. The overarching purpose is to create a framework to demonstrate the utility of automated location tracking data used in conjunction with clinical data like EHR logs and its vital role in the future of clinical workflow analysis/analytics. This document is categorized based on two primary aims of the research. The first aim deals with the use of automated location tracking data to develop a novel methodological/exploratory framework for clinical workflow. The second aim is to overlay the quantitative data generated from the previous aim on data from qualitative observation and shadowing studies (mixed methods) to develop a deeper view of clinical workflow that can be used to facilitate workflow redesign. The final sections of the document speculate on the direction of this work where the potential of this research in the creation of fully integrated clinical environments i.e. environments with state-of-the-art location tracking and other data collection mechanisms, is discussed. The main purpose of this research is to demonstrate ways by which clinical processes can be continuously monitored allowing for proactive adaptations in the face of technological and process changes to minimize any negative impact on the quality of patient care and provider satisfaction.
ContributorsVankipuram, Akshay (Author) / Patel, Vimla L. (Thesis advisor) / Wang, Dongwen (Thesis advisor) / Shortliffe, Edward H (Committee member) / Kaufman, David R. (Committee member) / Traub, Stephen J (Committee member) / Arizona State University (Publisher)
Created2018