ABSTRACT
Self-tracking and personal informatics offer important potential in chronic condition management, but such potential is often undermined by difficulty in aligning self-tracking tools to an individual's goals. Informed by prior proposals of goal-directed tracking, we designed and developed MigraineTracker, a prototype app that emphasizes explicit expression of goals for migraine-related self-tracking. We then examined migraine patient experiences in a deployment study for an average of 12+ months, including a total of 50 interview sessions with 10 patients working with 3 different clinicians. Patients were able to express multiple types of goals, evolve their goals over time, align tracking to their goals, personalize their tracking, reflect in the context of their goals, and gain insights that enabled understanding, communication, and action. We discuss how these results highlight the importance of accounting for distinct and concurrent goals in personal informatics together with implications for the design of future goal-directed personal informatics tools.
ABSTRACT
OBJECTIVE: The purpose of this study was to demonstrate how analyzing social media posts can uncover microaggressions and generate new cultural insights. We explore why Korean women hesitate to seek recommended gynecological care and how microaggressions visible in social media reveal insights for counteracting such harmful messaging. MATERIALS AND METHODS: We scraped the posts and responses on social media related to unmarried women's uncomfortableness or unpleasantness in receiving gynecological care. We conducted content analyses of the posts and responses with the microaggression framework to identify both the types of microaggressions occurring within and outside the clinic as well as the responsible perpetrators. With an open-coding and subsequent deductive coding approach, we further investigated the socio-cultural context for receiving gynecological care as an unmarried woman in South Korea. RESULTS: Our analysis uncovered that mothers, male partners, and superficially supportive social media responders contribute to pre- and post-visit microaggressions toward unmarried women seeking gynecological care whereas healthcare providers contribute to only mid-visit microaggressions. We also exposed how social media was not only revealing but also reinforcing the suppression of women's health care. DISCUSSION: Mid-visit microaggressions are currently addressed by cultural competence education, but pre- and post-visit microaggressions are overlooked. We uncover the gaps in current practices of informatics and public health methods and suggest ways to counteract online and offline microaggressions. CONCLUSIONS: Social media provides valuable information about the cultural context of health care and should be used as a source of insights for targeted interventions to improve health care, in this case for unmarried Korean women.
Subject(s)
Microaggression , Social Media , Delivery of Health Care , Female , Health Facilities , Humans , Male , Women's HealthABSTRACT
COVID-19 cases have surpassed the 109 + million markers, with deaths tallying up to 2.4 million. Tens of thousands of papers regarding COVID-19 have been published along with countless bibliometric analyses done on COVID-19 literature. Despite this, none of the analyses have focused on domain entities occurring in scientific publications. However, analysis of these bio-entities and the relations among them, a strategy called entity metrics, could offer more insights into knowledge usage and diffusion in specific cases. Thus, this paper presents an entitymetric analysis on COVID-19 literature. We construct an entity-entity co-occurrence network and employ network indicators to analyze the extracted entities. We find that ACE-2 and C-reactive protein are two very important genes and that lopinavir and ritonavir are two very important chemicals, regardless of the results from either ranking.
