Designing Mobile Health for User Engagement: The Importance of Socio-Technical Approach
Tochukwu Ikwunne, Lucy Hederman, P. J. Wall
备注：
In proceedings of the 1st Virtual Conference on Implications of Information and Digital Technologies for Development, 2021. Changed metadata title in this revised version
Despite the significance of user engagement for efficacy of mobile health (mHealth) in the Global South, many such interventions do not include user-engaging attributes. This is because socio-technical aspects are frequently not considered during the design, development, and implementation, stages of such initiatives. In addition, there is little discussion in the literature about the role socio-technical factors play in user-centered design processes for mHealth. This research posits consideration of socio-technical factors is required as techno-centric approaches to mHealth design and user engagement, as well as those relying on existing universal frameworks for user-centered design, have proven to be ineffective with the result that most mHealth projects in the Global South fail to sustain. This research examines projects in Sierra Leone where semi-structured interviews were conducted with mHealth designers and developers in order to explore their attitudes towards user engagement in this case. Barriers and facilitators to user engagement were identified and classified as either technical or socio-technical. Findings from the study indicate that adoption of a techno-centric approach without consideration of socio-technical factors can negatively affect user's engagement. Based on these findings, we propose to develop a new design framework for more effective inclusion of user-engaging attributes in mHealth.
Digit therapeutics are novel software devices that clinicians may utilize in delivering quality mental health care and ensuring positive outcomes. However, uptake of digital therapeutics and clinically tested software-based programs remains low. This article presents possible reasons for attrition and low engagement in clinical studies investigating digital therapeutics, analyses of studies in which engagement was high, and design constructs that may encourage user engagement. The aim is to shed light on the importance of real-world attrition data of digital therapeutics, and important charact…
In order to develop trustworthy healthcare artificial intelligence (AI) prospective and ergonomics studies that consider the complexity and reality of real-world applications of AI systems are needed. To achieve this, technology developers and deploying organisations need to form collaborative partnerships. This entails access to healthcare data, which frequently might also include potentially identifiable data such as audio recordings of calls made to an ambulance service call centre. Information Governance (IG) processes have been put in place to govern the use of personal confidential data.…
Our objective was to develop and test a new concept (affinity) analogous to multimorbidity of chronic conditions for individuals at census tract level in Memphis, TN. The use of affinity will improve the surveillance of multiple chronic conditions and facilitate the design of effective interventions. We used publicly available chronic condition data (Center for Disease Control and Prevention 500 Cities project), socio-demographic data (US Census Bureau), and demographic data (Environmental Systems Research Institute). A geo-distinctive pattern of clustered chronic affinity associated with soci…
Robert Bosch Centre for Data Science and Artificial Intelligence（罗伯特·博世数据科学与人工智能中心）；Google Research, India（谷歌研究院（印度））；ARMMAN；Indian Institute of Technology, Madras（印度理工学院马德拉斯分校）
India accounts for 11% of maternal deaths globally where a woman dies in childbirth every fifteen minutes. Lack of access to preventive care information is a significant problem contributing to high maternal morbidity and mortality numbers, especially in low-income households. We work with ARMMAN, a non-profit based in India, to further the use of call-based information programs by early-on identifying women who might not engage on these programs that are proven to affect health parameters positively.We analyzed anonymized call-records of over 300,000 women registered in an awareness program c…
Social Media provides researchers with an unprecedented opportunity to gain insight into various facets of human life. Health practitioners put a great emphasis on pinpointing socioeconomic status (SES) of individuals as they can use to it to predict certain diseases. Crowdsourcing is a term coined that entails gathering intelligence from a user community online. In order to group the users online into communities, researchers have made use of hashtags that will cull the interest of a community of users. In this paper, we propose a mechanism to group a certain group of users based on their geo…
The Brazilian Vaccination Debate on YouTube: Topics, Perspectives, and Engagement Dynamics
Universidade Federal de Ouro Preto（欧罗普雷托联邦大学）；ISTI, National Research Council (CNR)（意大利国家研究委员会IST研究所）；University of Pisa（比萨大学）；Worcester Polytechnic Institute（伍斯特理工学院）；Universidade Federal de Minas Gerais（米纳斯吉拉斯联邦大学）
Supporters and Skeptics: LLM-based Analysis of Engagement with Mental Health (Mis)Information Content on Video-sharing Platforms
Georgia Institute of Technology（佐治亚理工学院）；Rowan University（罗文大学）；Zucker Hillside Hospital, Psychiatry Research（扎克山坡医院精神病学研究部）；Hofstra University（霍夫斯特拉大学）
Evaluation of A National Digitally-Enabled Health Promotion Campaign for Mental Health Awareness using Social Media Platforms Tik Tok, Facebook, Instagram, and YouTube
Mobile health applications that track activities, such as exercise, sleep, and diet, are becoming widely used. While these activity tracking applications have the potential to improve our health, user engagement and retention are critical factors for their success. However, long-term user engagement patterns in real-world activity tracking applications are not yet well understood. Here we study user engagement patterns within a mobile physical activity tracking application consisting of 115 million logged activities taken by over a million users over 31 months. Specifically, we show that over …
Social media offers a unique window into attitudes like racism and homophobia, exposure to which are important, hard to measure and understudied social determinants of health. However, individual geo-located observations from social media are noisy and geographically inconsistent. Existing areas by which exposures are measured, like Zip codes, average over irrelevant administratively-defined boundaries. Hence, in order to enable studies of online social environmental measures like attitudes on social media and their possible relationship to health outcomes, first there is a need for a method t…
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health
University of Toronto（多伦多大学）；Northwestern University（西北大学）；Audacious Software；Mental Health America（美国心理健康组织）；Carleton College（卡尔顿学院）；University of Cambridge（剑桥大学）；Sapienza University of Rome（罗马大学）
The psychological costs of the attention economy are often considered through the binary of harmful design and healthy use, with digital well-being chiefly characterised as a matter of personal responsibility. This article adopts an interdisciplinary approach to highlight the empirical, ideological, and political limits of embedding this individualised perspective in computational discourses and designs of digital well-being measurement. We will reveal well-being to be a culturally specific and environmentally conditioned concept and will problematize user engagement as a universal proxy for w…
