Development of a smartphone application for eating disorder self‐monitoring

Tregarthen, Jenna; Lock, James; Darcy, Alison M.

doi:10.1002/eat.22386

Cited by 131 publications

(116 citation statements)

References 44 publications

Supporting

Mentioning

114

Contrasting

Unclassified

Order By: Relevance

“…For example, we found that 'acceptability' was defined very differently across studies, ranging from proxy markers, i.e. utilisation data (Tregarthen et al 2015) to participants' experience of burden (Dennis et al 2015). This highlights the need for more careful delineation and measurement of implementation outcomes in future work (Proctor et al 2011).…”

Section: Strengths and Limitationsmentioning

confidence: 94%

“…• Participants' perception: preference for paper-and-pencil tracking by some participants Clinical impacts: not studied/reported Tregarthen et al (2015) To describe a smartphone app for the self-monitoring of eating disorder symptoms, evaluate characteristics of app …”

Section: Usabilitymentioning

confidence: 99%

“…In Dennis et al (2015), 95% of adolescents felt that the EMA app 'was not too long'. Tregarthen et al (2015) measured app utilisation data as a proxy for acceptability. There were over 100 000 users over a 2-year period (with 89% using the application at least three times), which the authors interpreted as a demonstration of broad acceptability.…”

Section: Participants' Perceptionsmentioning

confidence: 99%

“…digital theft) that could compromise confidentiality (Prentice & Dobson, 2014). Finally, youths could use apps as a replacement for treatment and health monitoring (Tregarthen et al 2015). Considering the importance of the therapeutic alliance for successful treatment outcomes (Karver et al 2006), the efficacy of smartphone apps could be reduced if they are used without clinicians' involvement (Prentice & Dobson, 2014).…”

Section: Positive and Negative Clinical Impacts Of Mood-monitoring Appsmentioning

confidence: 99%

See 3 more Smart Citations

A systematic review of the psychometric properties, usability and clinical impacts of mobile mood-monitoring applications in young people

et al. 2017

View full text Add to dashboard Cite

Background. Mobile mood-monitoring applications are increasingly used by mental health providers, widely advocated within research, and a potentially effective method to engage young people. However, little is known about their efficacy and usability in young populations. Results. We reviewed 25 articles. Studies on the psychometric properties of mobile mood-monitoring applications were sparse, but indicate questionable to excellent internal consistency, moderate concurrent validity and good usability. Participation rates ranged from 30% to 99% across studies, and appeared to be affected by methodological factors (e.g. payments) and individual characteristics (e.g. IQ score). Mobile mood-monitoring applications are positively perceived by youth, may reduce depressive symptoms by increasing emotional awareness, and could aid in the detection of mental health and substance use problems. There was very limited evidence on potential negative impacts.Conclusions. Evidence for the use of mood-monitoring applications in youth is promising but limited due to a lack of high-quality studies. Future work should explicate the effects of mobile mood-monitoring applications on effective selfregulation, clinical outcomes across disorders and young people's engagement with mental health services. Potential negative impacts in this population should also be investigated, as the adult literature suggests that application use could potentially increase negativity and depression symptoms.

show abstract

Section: Strengths and Limitationsmentioning

confidence: 94%

Section: Usabilitymentioning

confidence: 99%

Section: Participants' Perceptionsmentioning

confidence: 99%

Section: Positive and Negative Clinical Impacts Of Mood-monitoring Appsmentioning

confidence: 99%

See 2 more Smart Citations

A systematic review of the psychometric properties, usability and clinical impacts of mobile mood-monitoring applications in young people

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Growing evidence has demonstrated that mobile health (mHealth) platforms make it possible for healthcare professionals to monitor patient conditions constantly and remotely on the one hand, and on the other hand these mHealth platforms can empower patients to manage their own diseases [2][3][4][5][6][7][8][9][10][11][12]. In other words, mobile technologies may optimize healthcare practices by enabling professionals to conveniently collect and utilize large amounts of patient data in their clinical practice [13,14].…”

Section: Introductionmentioning

confidence: 99%

An mHealth Platform for Supporting Clinical Data Integration into Augmentative and Alternative Communication Service Delivery: User-Centered Design and Usability Evaluation (Preprint)

Wang¹,

Zhou²,

Chen³

et al. 2017

Preprint

View full text Add to dashboard Cite

Background: The recent trend of increasing healthcare costs in the United States is likely not sustainable. To make healthcare more economically sustainable, attention must be directed towards improving the quality while simultaneously reducing the cost of healthcare. One of the recommended approaches to providing better care at a lower cost is to build high quality data collection and reporting systems, which support healthcare professionals in making optimal clinical decisions based on solid, extensive evidence. Objective: This project sought to develop an integrated mHealth Augmentative and Alternative Communication (AAC) platform consisting of an AAC mobile app and a web-based clinician portal for supporting evidence-based clinical service delivery. Methods: A questionnaire and an interview study were used to collect clinicians' ideas regarding what constitutes their desired "clinically relevant" data. In response, a web portal was designed by combining mobile and web technologies with AAC intervention to create an integrated platform for supporting data collection, integration, and reporting. Finally, a usability study was conducted with healthcare professionals. Results: A web-based portal was created and integrated with a tablet-based AAC mobile app and data analysis procedures. In the usability study, all participants agreed that the integrated platform provides the ability to collect comprehensive clinical evidence, automatically analyze collected data in real time, and generate clinically relevant performance measures through an easily accessible web portal. Conclusions:The integrated platform offers a better approach for clinical data reporting and analytics. Additionally, the platform streamlines the workflow of AAC clinical service delivery.

show abstract

References

2018

Counseling and Psychotherapy Theories in Context and Practice

View full text Add to dashboard Cite

Development of a smartphone application for eating disorder self‐monitoring

Abstract: Smartphone apps have the capacity to reach and engage traditionally underserved individuals with eating disorders at a large scale. Additional work is indicated for the evaluation of the clinical effectiveness of applications for specific user groups and in clinical treatment contexts.

Cited by 131 publications

References 44 publications

A systematic review of the psychometric properties, usability and clinical impacts of mobile mood-monitoring applications in young people

A systematic review of the psychometric properties, usability and clinical impacts of mobile mood-monitoring applications in young people

An mHealth Platform for Supporting Clinical Data Integration into Augmentative and Alternative Communication Service Delivery: User-Centered Design and Usability Evaluation (Preprint)

References

Contact Info

Product

Resources

About