Design for inclusivity

Benda, Natalie C.; Montague, Enid; Valdez, Rupa S.

doi:10.1016/b978-0-12-816427-3.00015-4

Cited by 8 publications

(9 citation statements)

References 30 publications

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“…7 Moreover, in employing user-centered design for engagement, there is a constant tension between broad usability versus customization to one user subgroup's needs. In this study, we aimed for inclusive design, or designing for those who may have the lowest literacy, numeracy, or technology comfort, 35 but may have resulted in a tool that was less engaging for those looking for more sophisticated solutions.…”

Section: Discussionmentioning

confidence: 99%

A RE-AIM Evaluation of a Visualization-Based Electronic Patient-Reported Outcome System

et al. 2023

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Introduction and objective: Healthcare systems are primarily collecting patient-reported outcomes (PROs) for research and clinical care using proprietary, institution- and disease-specific tools for remote assessment. The purpose of this study was to conduct a Reach Effectiveness Adoption Implementation and Maintenance (RE-AIM) evaluation of a scalable electronic patient reported outcomes (ePROs) reporting and visualization system in a single-arm study. Methods: The “mi.symptoms” ePRO system was designed using gerontechnological design principles to ensure high usability among older adults. The system enables longitudinal reporting of disease-agnostic ePROs and includes patient-facing PRO visualizations. We conducted an evaluation of the implementation of the system guided by the RE-AIM framework. Quantitative data were analyzed using basic descriptive statistics, and qualitative data were analyzed using directed content analysis. Results: Reach–The total reach of the study was 70 participants (median age 69, 31% female, 17% Black or African American, 27% reported not having enough financial resources). Effectiveness–Half (51%) of participants completed the two-week follow-up survey and 36% completed all follow-up surveys. Adoption– The desire for increased self-knowledge, the value of tracking symptoms, and altruism motivated participants to adopt the tool. Implementation–The predisposing factor was access to, and comfort with, computers. Three enabling factors were incorporation into routines, multimodal nudges, and ease of use. Maintenance–Reinforcing factors were perceived usefulness of viewing symptom reports with the tool, and understanding the value of sustained symptom tracking in general. Conclusion: Challenges in ePRO reporting, particularly sustained patient engagement, remain. Nonetheless, freely available, scalable, disease-agnostic systems may pave the road towards inclusion of a more diverse range of health systems and patients in ePRO collection and use.

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Section: Discussionmentioning

confidence: 99%

A RE-AIM Evaluation of a Visualization-Based Electronic Patient-Reported Outcome System

et al. 2023

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“…Additionally, patient educational materials or “InfoButtons” embedded directly in AI-enhanced technologies can explain an AI’s purpose, its use of personal health data, and its performance, which may support autonomy and transparency. Communication of this information should also follow inclusive design principles to uphold distributive justice ( 73 ). Based on described shortcomings in the samples included in previous relevant research ( 62 , 63 ), it is also important that further empirical studies be conducted with samples that reflect the ethnicity, literacy, and educational backgrounds of diverse perinatal populations.…”

Section: How Can We Uphold Patient-centered Rai and Xai In Perinatal ...mentioning

confidence: 99%

Recentering responsible and explainable artificial intelligence research on patients: implications in perinatal psychiatry

Turchioe,

Hermann,

Benda

2024

Front. Psychiatry

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In the setting of underdiagnosed and undertreated perinatal depression (PD), Artificial intelligence (AI) solutions are poised to help predict and treat PD. In the near future, perinatal patients may interact with AI during clinical decision-making, in their patient portals, or through AI-powered chatbots delivering psychotherapy. The increase in potential AI applications has led to discussions regarding responsible AI and explainable AI (XAI). Current discussions of RAI, however, are limited in their consideration of the patient as an active participant with AI. Therefore, we propose a patient-centered, rather than a patient-adjacent, approach to RAI and XAI, that identifies autonomy, beneficence, justice, trust, privacy, and transparency as core concepts to uphold for health professionals and patients. We present empirical evidence that these principles are strongly valued by patients. We further suggest possible design solutions that uphold these principles and acknowledge the pressing need for further research about practical applications to uphold these principles.

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“…It should be noted that these recommendations are not comprehensive and should be co-designed and co-developed with community members. This process could include approaches such as participatory design workshops ( 38 ). Methods such as affinity diagramming and dot voting can be used to thematically categorize and prioritize, respectively, design ideas ( 39 ).…”

Section: Case Study: Transportation Access To Maternal Health Servicesmentioning

confidence: 99%

Designing mobile health to align with the social determinants of health

Rogers

Jang

Tidwell

et al. 2023

Front. Digit. Health

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The maternal health crisis in the United States is becoming increasingly worse, with disparities continuing to escalate among marginalized populations. mHealth can contribute to addressing the Social Determinants of Health (SDOH) that produce inequities in maternal morbidity and mortality. Reducing inequities through mHealth can be achieved by designing these technologies to align with SDOH. As mHealth developed to support maternal health has primarily supported the extension of clinical care, there is an opportunity to integrate frameworks and methods from human factors/ergonomics and public health to produce thorough comprehension of SDOH through intentional partnerships with marginalized populations. Potential for this opportunity is presented through a case study derived from a community-based participatory research process focused on transportation access to maternal health services. Through multi-faceted, interdisciplinary, and community-based approaches to designing mHealth that attends to the systemic factors that generate and escalate inequities, improvements in the maternal health crisis could be realized.

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Design for inclusivity

Cited by 8 publications

References 30 publications

A RE-AIM Evaluation of a Visualization-Based Electronic Patient-Reported Outcome System

A RE-AIM Evaluation of a Visualization-Based Electronic Patient-Reported Outcome System

Recentering responsible and explainable artificial intelligence research on patients: implications in perinatal psychiatry

Designing mobile health to align with the social determinants of health

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