Development of a Checklist for the Prevention of Intradialytic Hypotension in Hemodialysis Care

Kuo, Pei-Yi; Saran, Rajiv; Argentina, Marissa; Heung, Michael; Bragg‐Gresham, Jennifer L.; Chatoth, Dinesh; Gillespie, Brenda W.; Krein, Sarah L.; Wingard, Rebecca L.; Zheng, Kai; Veinot, Tiffany C.

doi:10.1145/3290605.3300872

Cited by 14 publications

(10 citation statements)

References 41 publications

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“…To answer these research questions, we conducted an iterative co-design process with 48 practitioners working on a variety of AI systems. We drew inspiration from Kuo et al's checklist co-design process [58], as well as other co-design processes, such as those used to design technologies in education [51,61], public transit [92], and housing [91], other domains [93].…”

Section: Methodsmentioning

confidence: 99%

“…To address these challenges, some researchers have started codesigning medical checklists [14,58], drawing on participatory methods widely used in HCI (e.g., [51,61,91]). Borchard et al found that checklist use and efficacy increased when stakeholders were involved in checklist design and implementation [13].…”

Section: Sociocultural Factors and Checklist Efficacymentioning

confidence: 99%

“…Borchard et al found that checklist use and efficacy increased when stakeholders were involved in checklist design and implementation [13]. Kuo et al co-designed a diagnostic checklist for intradialytic hypertension through a series of interviews and focus groups with nurses, clinicians, patients, and other stakeholders [58]. They elicited input on the checklist items, including tensions in the concepts covered, and identified workflow alignment.…”

Section: Sociocultural Factors and Checklist Efficacymentioning

confidence: 99%

“…Concurrent to these interviews, two of the authors and other stakeholders in our institution designed an initial AI fairness checklist based on existing checklists and previous research, as in other checklist co-design processes (e.g., [14,21,58]). This initial checklist included items to consider at six different stages of the AI development and deployment lifecycle, from envisioning and defining the system to prototyping, building, launching, and evolving it.…”

Section: Checklist Designmentioning

confidence: 99%

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Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI

Madaio

Stark

Vaughan

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

294

193

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Many organizations have published principles intended to guide the ethical development and deployment of AI systems; however, their abstract nature makes them difficult to operationalize. Some organizations have therefore produced AI ethics checklists, as well as checklists for more specific concepts, such as fairness, as applied to AI systems. But unless checklists are grounded in practitioners' needs, they may be misused. To understand the role of checklists in AI ethics, we conducted an iterative co-design process with 48 practitioners, focusing on fairness. We co-designed an AI fairness checklist and identified desiderata and concerns for AI fairness checklists in general. We found that AI fairness checklists could provide organizational infrastructure for formalizing ad-hoc processes and empowering individual advocates. We discuss aspects of organizational culture that may impact the efficacy of such checklists, and highlight future research directions.

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Section: Methodsmentioning

confidence: 99%

Section: Sociocultural Factors and Checklist Efficacymentioning

confidence: 99%

Section: Sociocultural Factors and Checklist Efficacymentioning

confidence: 99%

Section: Checklist Designmentioning

confidence: 99%

See 2 more Smart Citations

Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI

Madaio

Stark

Vaughan

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

294

193

View full text Add to dashboard Cite

show abstract

“…Hibbard and Greene [8] further conclude that activated patients on hemodialysis have better health outcomes and care experiences. Our previous work has shown that due to the fast pace of hemodialysis care in the United States, nursing staff are not able to perform additional tasks to educate patients in using new technologies or to perform troubleshooting activities [10]. Accordingly, we developed a digital informatics intervention to promote behavior change and activate patients on hemodialysis toward IDH risk reduction.…”

Section: Introductionmentioning

confidence: 99%

Usability Evaluation of a Tablet-Based Intervention to Prevent Intradialytic Hypotension in Dialysis Patients During In-Clinic Dialysis: Mixed Methods Study

Willis¹,

Hein²,

Hu³

et al. 2021

JMIR Hum Factors

Self Cite

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Background Patients on hemodialysis receive dialysis thrice weekly for about 4 hours per session. Intradialytic hypotension (IDH)—low blood pressure during hemodialysis—is a serious but common complication of hemodialysis. Although patients on dialysis already participate in their care, activating patients toward IDH prevention may reduce their risk of IDH. Interactive, technology-based interventions hold promise as a platform for patient activation. However, little is known about the usability challenges that patients undergoing hemodialysis may face when using tablet-based informatics interventions, especially while dialyzing. Objective This study aims to test the usability of a patient-facing, tablet-based intervention that includes theory-informed educational modules and motivational interviewing–based mentoring from patient peers via videoconferencing. Methods We conducted a cross-sectional, mixed methods usability evaluation of the tablet-based intervention by using think-aloud methods, field notes, and structured observations. These qualitative data were evaluated by trained researchers using a structured data collection instrument to capture objective observational data. We calculated descriptive statistics for the quantitative data and conducted inductive content analysis using the qualitative data. Results Findings from 14 patients cluster around general constraints such as the use of one arm, dexterity issues, impaired vision, and lack of experience with touch screen devices. Our task-by-task usability results showed that specific sections with the greatest difficulty for users were logging into the intervention (difficulty score: 2.08), interacting with the quizzes (difficulty score: 1.92), goal setting (difficulty score: 2.28), and entering and exiting videoconference rooms (difficulty score: 2.07) that are used to engage with peers during motivational interviewing sessions. Conclusions In this paper, we present implications for designing informatics interventions for patients on dialysis and detail resulting changes to be implemented in the next version of this intervention. We frame these implications first through the context of the role the patients’ physical body plays when interacting with the intervention and then through the digital considerations for software and interface interaction.

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Advanced Kidney Disease Patient Portal: Implementation and Evaluation with Haemodialysis Patients

Meiklem

Stevenson

Richarz

et al. 2021

Human-Computer Interaction – INTERACT 2021

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Patients on haemodialysis face complex care pathways, a high treatment burden and lower quality-of-life. Working with multidisciplinary domain experts, we have conducted several iterative development cycles to design, develop and evaluate a portal for patients on haemodialysis that can help them better understand and navigate their care pathways. A key functionality of the portal is to improve data and information sharing with clinicians, including on key aspects of quality-of-life through Patients Reported Outcome Measures. A case study was conducted with multidisciplinary experts and patients in the NHS Greater Glasgow and Clyde health board (Scotland), using interviews combined with the System Usability Scale (n=26). Patients' feedback and system use observations were used to further refine the system design requirements and functionalities. Key lessons include: a wide preference for tablet-based input vs paper, identification of case-specific accessibility issues and situational impairment, benefits of self-completed digital data collection in overcoming such issues and promoting patient independence and privacy, with considerations for maintaining perceived value and engagement with such systems and when to offer alternatives.

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Development of a Checklist for the Prevention of Intradialytic Hypotension in Hemodialysis Care

Cited by 14 publications

References 41 publications

Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI

Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI

Usability Evaluation of a Tablet-Based Intervention to Prevent Intradialytic Hypotension in Dialysis Patients During In-Clinic Dialysis: Mixed Methods Study

Advanced Kidney Disease Patient Portal: Implementation and Evaluation with Haemodialysis Patients

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