A Platform to Build Mobile Health Apps: The Personal Health Intervention Toolkit (PHIT)

Eckhoff, Randall; Kizakevich, Paul; Bakalov, Vesselina; Zhang, Yuying; Bryant, Stephanie; Hobbs, Maria

doi:10.2196/mhealth.4202

Cited by 22 publications

(8 citation statements)

References 20 publications

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“…Applications based on versatile platforms allow 2-way sharing of information between parents and professionals. 42,43 Parents can provide self-reported or even sensor data, and professionals can deliver individualized guidance based on parent-reported problems. Ultimately, mobile health applications allow the possibility for flexibility in response to changing circumstances and integration of new technologies (eg, wearable sensors) and empirically based interventions (eg, stress reduction techniques, parent-child interaction strategies).…”

Section: Providing Individualized Treatmentsmentioning

confidence: 99%

The Likely Impact of Congenital Zika Syndrome on Families: Considerations for Family Supports and Services

Bailey

Ventura

2018

Pediatrics

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Congenital Zika virus infection has obvious implications for infants, and considerable research has addressed the nature and consequences of congenital Zika syndrome (CZS). Children with classic CZS meet the criteria for "children with medical complexity," and ongoing research is required to understand the range of needs and optimal treatment options. Far less attention has been given to the consequences of CZS for families, which are both immediate and lifelong. Although families of children with CZS have much in common with families of other children with disabilities, at least 4 features of CZS have special family implications: (1) the severity of the impact on children with obvious abnormalities at birth, coupled with the anticipation of a lifetime of caregiving and economic burdens; (2) uncertainty about the unfolding consequences, both for obviously affected children and for exposed children with no symptoms at birth; (3) a lack of specialized professional knowledge about the course of the disease or treatment options; and (4) social isolation, a lack of social or community supports, and potential stigma. Supporting families will require a family-centered approach to services, extensive care coordination, access to evolving new information, ongoing surveillance, formal and informal supports, and individualized child and family services.

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Section: Providing Individualized Treatmentsmentioning

confidence: 99%

The Likely Impact of Congenital Zika Syndrome on Families: Considerations for Family Supports and Services

Bailey

Ventura

2018

Pediatrics

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“…Medopad provides solutions for different health care issues with symptom tracking; this is a commercial solution and mainly focuses on phone sensors and active monitoring methods [27]. PHIT allows users to build health apps based on existing infrastructure [28]. ResearchKit, an open source framework for building apps specifically for iOS, makes it easier to enroll participants and conduct studies.…”

Section: Discussionmentioning

confidence: 99%

RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices

Ranjan

Rashid

Stewart

et al. 2019

JMIR Mhealth Uhealth

191

124

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BackgroundWith a wide range of use cases in both research and clinical domains, collecting continuous mobile health (mHealth) streaming data from multiple sources in a secure, highly scalable, and extensible platform is of high interest to the open source mHealth community. The European Union Innovative Medicines Initiative Remote Assessment of Disease and Relapse-Central Nervous System (RADAR-CNS) program is an exemplary project with the requirements to support the collection of high-resolution data at scale; as such, the Remote Assessment of Disease and Relapse (RADAR)-base platform is designed to meet these needs and additionally facilitate a new generation of mHealth projects in this nascent field.ObjectiveWide-bandwidth networks, smartphone penetrance, and wearable sensors offer new possibilities for collecting near-real-time high-resolution datasets from large numbers of participants. The aim of this study was to build a platform that would cater for large-scale data collection for remote monitoring initiatives. Key criteria are around scalability, extensibility, security, and privacy.MethodsRADAR-base is developed as a modular application; the backend is built on a backbone of the highly successful Confluent/Apache Kafka framework for streaming data. To facilitate scaling and ease of deployment, we use Docker containers to package the components of the platform. RADAR-base provides 2 main mobile apps for data collection, a Passive App and an Active App. Other third-Party Apps and sensors are easily integrated into the platform. Management user interfaces to support data collection and enrolment are also provided.ResultsGeneral principles of the platform components and design of RADAR-base are presented here, with examples of the types of data currently being collected from devices used in RADAR-CNS projects: Multiple Sclerosis, Epilepsy, and Depression cohorts.ConclusionsRADAR-base is a fully functional, remote data collection platform built around Confluent/Apache Kafka and provides off-the-shelf components for projects interested in collecting mHealth datasets at scale.

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“…Mobile apps are recognized as efficient tools in the assistance of both health care patients and staff [ 1 , 3 ]. A mobile platform allows for predicting the symptoms of depression and PTSD [ 51 ] to collect data and conduct research on health interventions using the technology [ 53 ]. Mobile technology in the treatment for military staff and veterans with PTSD and other mental disorders has been reported to be feasible [ 8 , 15 ].…”

Section: Discussionmentioning

confidence: 99%

Scientific Publication Patterns of Mobile Technologies and Apps for Posttraumatic Stress Disorder Treatment: Bibliometric Co-Word Analysis

Kulaklı¹,

Shubina²

2020

JMIR Mhealth Uhealth

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Background Mobile apps are viewed as a promising opportunity to provide support for patients who have posttraumatic stress disorder (PTSD). The development of mobile technologies and apps shows similar trends in PTSD treatment. Therefore, this emerging research field has received substantial attention. Consequently, various research settings are planned for current and further studies. Objective The aim of this study was to explore the scientific patterns of research domains related to mobile apps and other technologies for PTSD treatment in scholarly publications, and to suggest further studies for this emerging research field. Methods We conducted a bibliometric analysis to identify publication patterns, most important keywords, trends for topicality, and text analysis, along with construction of a word cloud for papers published in the last decade (2010 to 2019). Research questions were formulated based on the relevant literature. In particular, we concentrated on highly ranked sources. Based on the proven bibliometric approach, the data were ultimately retrieved from the Web of Science Core Collection (Clarivate Analytics). Results A total of 64 studies were found concerning the research domains. The vast majority of the papers were written in the English language (63/64, 98%) with the remaining article (1/64, 2%) written in French. The articles were written by 323 authors/coauthors from 11 different countries, with the United States predominating, followed by England, Canada, Italy, the Netherlands, Australia, France, Germany, Mexico, Sweden, and Vietnam. The most common publication type was peer-reviewed journal articles (48/64, 75%), followed by reviews (8/64, 13%), meeting abstracts (5/64, 8%), news items (2/64, 3%), and a proceeding (1/64, 2%). There was a mean of 6.4 papers published per year over the study period. There was a 100% increase in the number of publications published from 2016 to 2019 with a mean of 13.33 papers published per year during this latter period. Conclusions Although the number of papers on mobile technologies for PTSD was quite low in the early period, there has been an overall increase in this research domain in recent years (2016-2019). Overall, these findings indicate that mobile health tools in combination with traditional treatment for mental disorders among veterans increase the efficiency of health interventions, including reducing PTSD symptoms, improving quality of life, conducting intervention evaluation, and monitoring of improvements. Mobile apps and technologies can be used as supportive tools in managing pain, anger, stress, and sleep disturbance. These findings therefore provide a useful overview of the publication trends on research domains that can inform further studies and highlight potential gaps in this field.

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A Platform to Build Mobile Health Apps: The Personal Health Intervention Toolkit (PHIT)

Cited by 22 publications

References 20 publications

The Likely Impact of Congenital Zika Syndrome on Families: Considerations for Family Supports and Services

The Likely Impact of Congenital Zika Syndrome on Families: Considerations for Family Supports and Services

RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices

Scientific Publication Patterns of Mobile Technologies and Apps for Posttraumatic Stress Disorder Treatment: Bibliometric Co-Word Analysis

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