Healthcare in the Pocket: Mapping the Space of Mobile-Phone Health Interventions

By Predrag V. Klasnja, Wanda Pratt. Journal of Biomedical Informatics, 2011

1,022 citations recorded by the source corpus.

Mobile phones are becoming an increasingly important platform for the delivery of health interventions. In recent years, researchers have used mobile phones as tools for encouraging physical activity and healthy diets, for symptom monitoring in asthma and heart disease, for sending patients reminders about upcoming appointments, for supporting smoking cessation, and for a range of other health problems. This paper provides an overview of this rapidly growing body of work. We describe the features of mobile phones that make them a particularly promising platform for health interventions, and we identify five basic intervention strategies that have been used in mobile-phone health applications across different health conditions. Finally, we outline the directions for future research that could increase our understanding of functional and design requirements for the development of highly effective mobile-phone health interventions.

Subfields: Applied Psychology, General Health Professions, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/5b3caf7f121a7cd1bcaf6c3968bab9443a00888b

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Citations in the corpus

A Survey of Online Activity Recognition Using Mobile Phones (2015, background): “However, details of the interaction with users for assistive feedback using mobile phones can be found in [16,27,74].”
No longer wearing: investigating the abandonment of personal health-tracking technologies on craigslist (2015, background): “In addition to studying these technologies from the perspective of health and wellness [22, 28, 34], HCI researchers also study their potential for improving selfknowledge (personal informatics) [25, 26], augmenting memory [18], and reducing environmental impact [10].”
Systematic review of smartphone-based passive sensing for health and wellbeing (2017, background): “…of personal health information systems such as personal health records (PHR) systems [2], wearable consumer devices (e.g., activity trackers [6]), and smartphone applications, which aid in capturing, storing, managing, transmitting, interpreting, and acting on large volumes of patient data [7].”
Mapping mHealth Research: A Decade of Evolution (2013, background): “A recent methodological review sought to map the domain of mobile phone health interventions [13], but it relied on describing the design of the interventions, with a clear focus on technology, rather than the outcomes.”
Use and Adoption Challenges of Wearable Activity Trackers (2015, methodology): “Based on a survey conducted in Quantified Self forum, Li et al. (2010) derived a stage-based model of personal informatics systems composed of five stages (preparation, collection, integration, reflection, and action).”
A qualitative study of user perceptions of mobile health apps (2016, methodology): “These materials included screen captures of various features of health apps based on Klasnja and Pratt’s framework [19] of the five Table 1 Participant demographics and smartphone and app usage”
Unaddressed privacy risks in accredited health and wellness apps: a cross-sectional systematic assessment (2015, background): “Mobile apps – software programs running on devices like smartphones – offer a wide range of potential medical and health-related uses [1].”
Fusion of Smartphone Motion Sensors for Physical Activity Recognition (2014, neutral): “Physical activity recognition using wearable sensors has enabled the scientific community to develop novel applications, especially in the area of healthcare and assisted living [1,2].”
Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial (2013, background): “Mobile phones, in particular, are an intuitively appealing intervention platform given that they are ubiquitous, engaging, and portable [6].”
Smartphone Ownership and Interest in Mobile Applications to Monitor Symptoms of Mental Health Conditions (2014, neutral): “The feasibility and validity of electronic ESM using tools such as Palm computers has been studied in mood disorders research [13] and schizophrenia research [14].”
Mobile medical and health apps: state of the art, concerns, regulatory control and certification (2014, background): “, diabetes care monitoring), or reminding people to use sun protection to prevent sunburns in the near term and skin cancer in the long term [43-46].”