mHealth in Mental Health: how to efficiently and scientifically create an ambulatory biofeedback e-coaching app for patients with borderline personality disorder

Derks, Youri P.M.J.; Visser, Tessa De; Bohlmeijer, Ernst Thomas; Noordzij, Matthijs Leendert

doi:10.1504/ijhfe.2017.088418

Cited by 16 publications

(22 citation statements)

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“…First of all, in multiple papers, authors mentioned the importance of individual, in-depth interviews to incorporate the perspective of vulnerable, complex target groups such as people with dementia or severe mental illness in eHealth development [ 15 , 21 , 61 , 70 , 96 , 97 , 109 , 111 , 121 , 123 , 127 ]. This is especially important because perspectives of these underserved target groups are often overlooked in eHealth development.…”

Section: Resultsmentioning

confidence: 99%

“…Multiple authors indicated that card sorting is a fast, efficient, and cheap method to gain insight into the structure of a to-be-developed eHealth technology, especially when conducted on the web [ 25 , 70 , 77 , 98 ]. Web-based card sorting using programs such as Optimal Workshop software was said to be less prone to error, less labor intensive, and more efficient because larger numbers of participants can be included with less effort.…”

Section: Resultsmentioning

confidence: 99%

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Methods for Human-Centered eHealth Development: Narrative Scoping Review

Kip¹,

Keizer²,

Silva³

et al. 2022

J Med Internet Res

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Background Thorough holistic development of eHealth can contribute to a good fit among the technology, its users, and the context. However, despite the availability of frameworks, not much is known about specific research activities for different aims, phases, and settings. This results in researchers having to reinvent the wheel. Consequently, there is a need to synthesize existing knowledge on research activities for participatory eHealth development processes. Objective The 3 main goals of this review are to create an overview of the development strategies used in studies based on the CeHRes (Center for eHealth Research) Roadmap, create an overview of the goals for which these methods can be used, and provide insight into the lessons learned about these methods. Methods We included eHealth development studies that were based on the phases and/or principles of the CeHRes Roadmap. This framework was selected because of its focus on participatory, iterative eHealth design in context and to limit the scope of this review. Data were extracted about the type of strategy used, rationale for using the strategy, research questions, and reported information on lessons learned. The most frequently mentioned lessons learned were summarized using a narrative, inductive approach. Results In the included 160 papers, a distinction was made between overarching development methods (n=10) and products (n=7). Methods are used to gather new data, whereas products can be used to synthesize previously collected data and support the collection of new data. The identified methods were focus groups, interviews, questionnaires, usability tests, literature studies, desk research, log data analyses, card sorting, Delphi studies, and experience sampling. The identified products were prototypes, requirements, stakeholder maps, values, behavior change strategies, personas, and business models. Examples of how these methods and products were applied in the development process and information about lessons learned were provided. Conclusions This study shows that there is a plethora of methods and products that can be used at different points in the development process and in different settings. To do justice to the complexity of eHealth development, it seems that multiple strategies should be combined. In addition, we found no evidence for an optimal single step-by-step approach to develop eHealth. Rather, researchers need to select the most suitable research methods for their research objectives, the context in which data are collected, and the characteristics of the participants. This study serves as a first step toward creating a toolkit to support researchers in applying the CeHRes Roadmap to practice. In this way, they can shape the most suitable and efficient eHealth development process.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Methods for Human-Centered eHealth Development: Narrative Scoping Review

Kip¹,

Keizer²,

Silva³

et al. 2022

J Med Internet Res

View full text Add to dashboard Cite

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“…The development of i-mental health systems integrating the functionalities that have been presented is a complex process, which is beginning to be the subject of new work [ 50 , 51 , 52 ]. An integrated device will necessarily have to rely on a team of health professionals trained in the use of connected devices, able to propose a set of functionalities adapted to each user according to his needs and situation, to analyse the data collected and to propose interventions.…”

Section: Process For Designing and Using An I-mental-health Devicementioning

confidence: 99%

From e-Health to i-Health: Prospective Reflexions on the Use of Intelligent Systems in Mental Health Care

2018

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Depressive disorders cover a set of disabling problems, often chronic or recurrent. They are characterized by a high level of psychiatric and somatic comorbidities and represent an important public health problem. To date, therapeutic solutions remain unsatisfactory. For some researchers, this is a sign of decisive paradigmatic failure due to the way in which disorders are conceptualized. They hypothesize that the symptoms of a categorical disorder, or of different comorbid disorders, can be interwoven in chains of interdependencies on different elements, of which it would be possible to act independently and synergistically to influence the functioning of the symptom system, rather than limiting oneself to targeting a hypothetical single underlying cause. New connected technologies make it possible to invent new observation and intervention tools allowing better phenotypic characterization of disorders and their evolution, that fit particularly well into this new “symptoms network” paradigm. Synergies are possible and desirable between these technological and epistemological innovations and can possibly help to solve some of the difficult problems people with mental disorders face in their everyday life, as we will show through a fictional case study exploring the possibilities of connected technologies in mental disorders in the near future.

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“…Any traumatic experience, a physical or psychological loss like loss of a job, death of a loved one, loss of possession, or any serious injury may cause depression. Finally, it may lead to a feeling of loneliness, sadness, loss of interest in activities of day-to-day life and even tempt the student to commit suicide ( Pompili et al., 2014 ; Derks et al., 2017 ; Caspi and Moffitt, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Survey on general awareness, mental state and academic difficulties among students due to COVID-19 outbreak in the western regions of Uganda

Meji¹,

Dennison²

2020

Heliyon

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This academic research is carried out to access the general awareness, mental state and academic difficulties among different age groups of students studying in various schools, colleges, or Universities during this lockdown period due to the COVID-19 crisis in the western regions of Uganda. An aggregate of 405 students participated in this survey. Among them 253 students are from rural regions, 59 students are from semi-urban regions and 93 students are from urban regions. This survey is classified into three sections: the first section spotlights the perceptive level of students about the COVID-19 crisis, the second section emphasizes the mental state of students and the final section highlights the academic difficulties faced by the students during this lockdown period. A statistical run is deliberated with the aid of SPSS version 20 software to evaluate the significance level (P-Value<0.05) of each question among the localities.

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mHealth in Mental Health: how to efficiently and scientifically create an ambulatory biofeedback e-coaching app for patients with borderline personality disorder

Cited by 16 publications

References 0 publications

Methods for Human-Centered eHealth Development: Narrative Scoping Review

Methods for Human-Centered eHealth Development: Narrative Scoping Review

From e-Health to i-Health: Prospective Reflexions on the Use of Intelligent Systems in Mental Health Care

Survey on general awareness, mental state and academic difficulties among students due to COVID-19 outbreak in the western regions of Uganda

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