Understanding the Needs of Low SES Patients with Type 2 Diabetes

Barnes, Priscilla; Caine, Kelly; Connelly, Katherine; Siek, Katie A.

doi:10.4108/pervasivehealth.2013.252153

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…These barriers to resources can be particularly exacerbated among vulnerable populations. For example, children and adolescents are often dependent on their families and communities for health-related resources [15], and individuals of low socioeconomic status often lack resources to access health care or engage in healthy behaviors [9,36]. …”

Section: Background and Related Workmentioning

confidence: 99%

Closing the Gap

Pollack

Backonja

Miller

et al. 2016

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

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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.

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Section: Background and Related Workmentioning

confidence: 99%

Closing the Gap

Pollack

Backonja

Miller

et al. 2016

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

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“…First, the review was concerned with the use of technology in self-care practices. This excluded a number of papers that would otherwise be featured in the review, such as those contextualising the design space of caring for a chronic condition (e.g., Barnes et al [2013]), those suggesting design concepts without evaluating them (e.g., ), and those describing algorithms or software architectures to solve specific self-care problems (e.g., Schaeffer-Filho et al [2009]). These types of studies are very relevant, but they were not about technology in use and, therefore, were excluded from the review.…”

Section: Focus Of the Reviewmentioning

confidence: 99%

Self-Care Technologies in HCI

Nunes

Verdezoto

Fitzpatrick

et al. 2015

ACM Trans. Comput.-Hum. Interact.

192

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Many studies show that self-care technologies can support patients with chronic conditions and their carers in understanding the ill body and increasing control of their condition. However, many of these studies have largely privileged a medical perspective and thus overlooked how patients and carers integrate selfcare into their daily lives and mediate their conditions through technology. In this review, we focus on how patients and carers use and experience self-care technology through a Human-Computer Interaction (HCI) lens. We analyse studies of self-care published in key HCI journals and conferences using the Grounded Theory Literature Review (GTLR) method and identify research trends and design tensions. We then draw out opportunities for advancing HCI research in self-care, namely, focusing further on patients' everyday life experience, considering existing collaborations in self-care, and increasing the influence on medical research and practice around self-care technology. CCS Concepts: r Applied computing → Consumer health; r Human-centered computing → Interaction design process and methods; HCI theory, concepts and models;

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“…Their final review included 14 studies, only 3 of which addressed management of multiple chronic conditions. The majority of studies in their review addressed diabetes, and the design of digital applications to support diabetes is particularly common in the HCI literature [1], [4], [5], [17], [23].…”

Section: Technology For Chronic Disease Self-managementmentioning

confidence: 99%

Managing Multimorbidity

Doyle

Murphy

Kuiper

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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Older adults with multiple chronic conditions (multimorbidity) face complex self-management routines, including symptom monitoring, managing multiple medications, coordinating healthcare visits, communicating with multiple healthcare providers and processing and managing potentially conflicting advice on conditions. While much research exists on single disease management, little, if any research has explored the topic of technology to support those with multimorbidity, particularly older adults, to self-manage with support from a care network. This paper describes a large qualitative study with 125 participants, including older adults with multimorbidity and those who care for them, across two European countries. Key findings related to the: impact of multimorbidity, complexities involved in self-management, motivators and barriers to self-management, sources of support and poor communication as a barrier to care coordination. We present important concepts and design features for a digital health system that aim to address requirements derived from this study. CCS CONCEPTS • Human Centred Computing → Human Computer Interaction; Empirical Studies in HCI.

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Understanding the Needs of Low SES Patients with Type 2 Diabetes

Cited by 3 publications

References 6 publications

Closing the Gap

Closing the Gap

Self-Care Technologies in HCI

Managing Multimorbidity

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