Logan Kendall
University of Washington
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Featured researches published by Logan Kendall.
human factors in computing systems | 2016
Ari H. Pollack; Uba Backonja; Andrew D. Miller; Sonali R. Mishra; Maher Khelifi; Logan Kendall; Wanda Pratt
Patients going home after a hospitalization face many challenges. This transition period exposes patients to unnecessary risks related to inadequate preparation prior to leaving the hospital, potentially leading to errors and patient harm. Although patients engaging in self-management have better health outcomes and increased self-efficacy, little is known about the processes in place to support and develop these skills for patients leaving the hospital. Through qualitative interviews and observations of 28 patients during and after their hospitalizations, we explore the challenges they face transitioning from hospital care to self-management. We identify three key elements in this process: knowledge, resources, and self-efficacy. We describe how both system and individual factors contribute to breakdowns leading to ineffective patient management. This work expands our understanding of the unique challenges faced by patients during this difficult transition and uncovers important design opportunities for supporting crucial yet unmet patient needs.
human factors in computing systems | 2016
Sonali R. Mishra; Shefali Haldar; Ari H. Pollack; Logan Kendall; Andrew D. Miller; Maher Khelifi; Wanda Pratt
Patient engagement leads to better health outcomes and experiences of health care. However, existing patient engagement systems in the hospital environment focus on the passive receipt of information by patients rather than the active contribution of the patient or caregiver as a partner in their care. Through interviews with hospitalized patients and their caregivers, we identify ways that patients and caregivers actively participate in their care. We describe the different roles patients and caregivers assume in interacting with their hospital care team. We then discuss how systems designed to support patient engagement in the hospital setting can promote active participation and help patients achieve better outcomes.
hawaii international conference on system sciences | 2015
Jordan Eschler; Katie O'Leary; Logan Kendall; James D. Ralston; Wanda Pratt
The electronic health record (EHR) has evolved as a tool primarily dictated by the needs of health care clinicians and organizations, providing important functions supporting day to day work in health care. However, the EHR and supporting information systems contain the potential to incorporate patient workflows and tasks as well. Integrating patient needs into existing EHR and health management systems will require understanding of patients as direct stakeholders, necessitating observation and exploration of in situ EHR use by patients to envision new opportunities for future systems. In this paper, we describe the application of a theoretical framework (Vicente, 1999) to organize qualitative data during a multi-stage research study into patient engagement with EHRs. By using this method of systematic inquiry, we have more effectively elicited patient stakeholder needs and goals to inform the design of future health care information systems.
human factors in computing systems | 2015
Katie O'Leary; Jordan Eschler; Logan Kendall; Lisa M. Vizer; James D. Ralston; Wanda Pratt
We introduce a mixed-methods approach for determining how people weigh tradeoffs in values related to health and technologies for health self-management. Our approach combines interviews with Q-methodology, a method from psychology uniquely suited to quantifying opinions. We derive the framework for structured data collection and analysis for the Q-methodology from theories of self-management of chronic illness and technology adoption. To illustrate the power of this new approach, we used it in a field study of nine older adults with type 2 diabetes, and nine mothers of children with asthma. Our mixed-methods approach provides three key advantages for health design science in HCI: (1) it provides a structured health sciences theoretical framework to guide data collection and analysis; (2) it enhances the coding of unstructured data with statistical patterns of polarizing and consensus views; and (3) it empowers participants to actively weigh competing values that are most personally significant to them.
human factors in computing systems | 2011
Logan Kendall; Andrea Hartzler; Predrag Klasnja; Wanda Pratt
conference on computer supported cooperative work | 2016
Andrew D. Miller; Sonali R. Mishra; Logan Kendall; Shefali Haldar; Ari H. Pollack; Wanda Pratt
american medical informatics association annual symposium | 2015
Predrag Klasnja; Logan Kendall; Wanda Pratt; Katherine S. Blondon
american medical informatics association annual symposium | 2015
Logan Kendall; Sonali R. Mishra; Ari H. Pollack; Barry Aaronson; Wanda Pratt
human factors in computing systems | 2015
Logan Kendall; Dan Morris; Desney S. Tan
american medical informatics association annual symposium | 2013
Logan Kendall; Predrag Klasnja; Justin M. Iwasaki; Jennifer A. Best; Andrew A. White; Sahar Khalaj; Chris Amdahl; Katherine Blondon