Sonali R. Mishra

A framework for self-experimentation in personalized health

OBJECTIVE To describe an interdisciplinary and methodological framework for applying single case study designs to self-experimentation in personalized health. The authors examine the frameworks applicability to various health conditions and present an initial case study with irritable bowel syndrome (IBS). METHODS AND MATERIALS An in-depth literature review was performed to develop the framework and to identify absolute and desired health condition requirements for the application of this framework. The authors developed mobile application prototypes, storyboards, and process flows of the framework using IBS as the case study. The authors conducted three focus groups and an online survey using a human-centered design approach for assessing the frameworks feasibility. RESULTS All 6 focus group participants had a positive view about our framework and volunteered to participate in future studies. Most stated they would trust the results because it was their own data being analyzed. They were most concerned about confounds, nonmeaningful measures, and erroneous assumptions on the timing of trigger effects. Survey respondents (N = 60) were more likely to be adherent to an 8- vs 12-day study length even if it meant lower confidence results. DISCUSSION Implementation of the self-experimentation framework in a mobile application appears to be feasible for people with IBS. This framework can likely be applied to other health conditions. Considerations include the learning curve for teaching self-experimentation to non-experts and the challenges involved in operationalizing and customizing study designs. CONCLUSION Using mobile technology to guide people through self-experimentation to investigate health questions is a feasible and promising approach to advancing personalized health.

When Personal Tracking Becomes Social: Examining the Use of Instagram for Healthy Eating

Many people appropriate social media and online communities in their pursuit of personal health goals, such as healthy eating or increased physical activity. However, people struggle with impression management, and with reaching the right audiences when they share health information on these platforms. Instagram, a popular photo-based social media platform, has attracted many people who post and share their food photos. We aim to inform the design of tools to support healthy behaviors by understanding how people appropriate Instagram to track and share food data, the benefits they obtain from doing so, and the challenges they encounter. We interviewed 16 women who consistently record and share what they eat on Instagram. Participants tracked to support themselves and others in their pursuit of healthy eating goals. They sought social support for their own tracking and healthy behaviors and strove to provide that support for others. People adapted their personal tracking practices to better receive and give this support. Applying these results to the design of health tracking tools has the potential to help people better access social support.

Closing the Gap: Supporting Patients' Transition to Self-Management after Hospitalization

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.

Not Just a Receiver: Understanding Patient Behavior in the Hospital Environment

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.

Toward Usable Evidence: Optimizing Knowledge Accumulation in HCI Research on Health Behavior Change

Over the last ten years, HCI researchers have introduced a range of novel ways to support health behavior change, from glanceable displays to sophisticated game dynamics. Yet, this research has not had as much impact as its originality warrants. A key reason for this is that common forms of evaluation used in HCI make it difficult to effectively accumulate-and use-knowledge across research projects. This paper proposes a strategy for HCI research on behavior change that retains the fields focus on novel technical contributions while enabling accumulation of evidence that can increase impact of individual research projects both in HCI and the broader behavior-change science. The core of this strategy is an emphasis on the discovery of causal effects of individual components of behavior-change technologies and the precise ways in which those effects vary with individual differences, design choices, and contexts in which those technologies are used.

Opportunities and Design Considerations for Peer Support in a Hospital Setting

Although research has demonstrated improved outcomes for outpatients who receive peer support-such as through online health communities, support groups, and mentoring systems-hospitalized patients have few mechanisms to receive such valuable support. To explore the opportunities for a hospital-based peer support system, we administered a survey to 146 pediatric patients and caregivers, and conducted semi-structured interviews with twelve patients and three caregivers in a childrens hospital. Our analysis revealed that hospitalized individuals need peer support for five key purposes: (1) to ask about medical details-such as procedures, treatments, and medications; (2) to learn about healthcare providers; (3) to report and prevent medical errors; (4) to exchange emotional support; and (5) to manage their time in the hospital. In this paper, we examine these themes and describe potential barriers to using a hospital-based peer support system. We then discuss the unique opportunities and challenges that the hospital environment presents when designing for peer support in this setting.

Move into another world of happy: insights for designing affect-based physical activity interventions

Physical activity yields affective benefits like mood improvement and a sense of accomplishment or a general sense of feeling good. However, existing interventions to promote physical activity typically do not make tracking or visualization of affective benefits a prominent part of the interface. We conducted a survey asking people about physical activity episodes that made them feel good and the impact of those episodes on their exercise intentions. We found that the affective benefits of exercise motivated respondents to become more active. In this paper, we report on the affective benefits that resulted from exercise, what users perceived as causing those affective benefits, and what impact feeling good from being active had on their intentions for future exercise. We discuss the implications of our findings for the design of interventions that use affective benefits to promote physical activity.