ArticleJournal of medical Internet research2019
The Importance of Systematically Reporting and Reflecting on eHealth Development: Participatory Development Process of a Virtual Reality Application for Forensic Mental Health Care.
Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A systematic review of participatory research involving forensic mental health patients.BMC psychiatry · 2026Pooled it
- Developing forensic patient-oriented research guidelines: a rapid review using an integrated knowledge translation approach.Frontiers in psychiatry · 2026Pooled it
- Virtual reality interventions for victims of crime: A systematic review.Journal of traumatic stress · 2022Pooled it
- Assessing Patient Acceptance of Being Offered a Virtual Calm Room in Psychiatric Inpatient Care: Mixed Methods Study.JMIR formative research · 2025Article
- Exploring the Frontiers of Technology in Forensic Psychiatric Youth Care: Ethical Challenges.Research on child and adolescent psychopathology · 2025Review
- What Are the Ethical Issues Surrounding Extended Reality in Mental Health? A Scoping Review of the Different Perspectives.Behavioral sciences (Basel, Switzerland) · 2025Review
- The use of co-design with young people for digital mental health support development: A systematic review.Internet interventions · 2025Review
- The CeHRes Roadmap 2.0: Update of a Holistic Framework for Development, Implementation, and Evaluation of eHealth Technologies.Journal of medical Internet research · 2025Article
- The introduction of virtual reality in forensic mental healthcare - an interview study on the first impressions of patients and healthcare providers regarding VR in treatment.Frontiers in psychology · 2024Article
- A Mobile Self-control Training App to Improve Self-control and Physical Activity in People With Severe Mental Illness: Protocol for 2 Single-Case Experimental Designs.JMIR research protocols · 2023Article
- Developing a Digital Medication Adherence Intervention for and With Patients With Asthma and Low Health Literacy: Protocol for a Participatory Design Approach.JMIR formative research · 2023Article
- Strength Back - A qualitative study on the co-creation of a positive psychology digital health intervention for spinal surgery patients.Frontiers in psychology · 2023Article
- How to use participatory design to develop an eHealth intervention to reduce preprocedural stress and anxiety among children visiting the hospital: The Hospital Hero app multi-study and pilot report.Frontiers in pediatrics · 2023Article
- Development of an eHealth Tool for Capturing and Analyzing the Immune-related Adverse Events (irAEs) in Cancer Treatment.Cancer informatics · 2023Article
- Exploring the added value of virtual reality biofeedback game DEEP in forensic psychiatric inpatient care-A qualitative study.Frontiers in psychology · 2023Article
- The Limitations of User-and Human-Centered Design in an eHealth Context and How to Move Beyond Them.Journal of medical Internet research · 2022Article
- I Need to Know: Using the CeHRes Roadmap to Develop a Treatment Feedback Tool for Youngsters with Mental Health Problems.International journal of environmental research and public health · 2022Article
- Developing mHealth to the Context and Valuation of Injured Patients and Professionals in Hospital Trauma Care: Qualitative and Quantitative Formative Evaluations.JMIR human factors · 2022Article
- Improving the Development and Implementation of Audit and Feedback Systems to Support Health Care Workers in Limiting Antimicrobial Resistance in the Hospital: Scoping Review.Journal of medical Internet research · 2022Article
- Methods for Human-Centered eHealth Development: Narrative Scoping Review.Journal of medical Internet research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of electronic health (eHealth) technologies in practice often is lower than expected, mostly because there is no optimal fit among a technology, the characteristics of prospective users, and their context. To improve this fit, a thorough systematic development process is recommended. However, more knowledge about suitable development methods is necessary to create a tool kit that guides researchers in choosing development methods that are appropriate for their context and users. In addition, there is a need for reflection on the existing frameworks for eHealth development to be able to constantly improve them.
objectiveThe two main objectives of this case study were to present and reflect on the (1) methods used in the development process of a virtual reality application for forensic mental health care and (2) development model that was used: the CeHRes Roadmap (the Centre for eHealth Research Roadmap).
methodsIn the development process, multiple methods were used to operationalize the first 2 phases of the CeHRes Roadmap: the contextual inquiry and value specification. To summarize the most relevant information for the goals of this study, the following information was extracted per method: (1) research goal, (2) explanation of the method used, (3) main results, (4) main conclusions, and (5) lessons learned about the method.
resultsInformation on 10 methods used is presented in a structured manner. These 10 methods were stakeholder identification, project team composition, focus groups, literature study, semistructured interviews, idea generation with scenarios, Web-based questionnaire, value specification, idea generation with prototyping, and a second round of interviews. The lessons learned showed that although each method added new insights to the development process, not every method appeared to be the most appropriate for each research goal.
conclusionsReflection on the methods used pointed out that brief methods with concrete examples or scenarios fit the forensic psychiatric patients the best, among other things, because of difficulties with abstract reasoning and low motivation to invest much time in participating in research. Formulating clear research questions based on a model's underlying principles and composing a multidisciplinary project team with prospective end users appeared to be important in this study. The research questions supported the project team in keeping the complex development processes structured and prevented tunnel vision. With regard to the CeHRes Roadmap, continuous stakeholder involvement and formative evaluations were evaluated as strong points. A suggestion to further improve the Roadmap is to explicitly integrate the use of domain-specific theories and models. To create a tool kit with a broad range of methods for eHealth development and further improve development models, studies that report and reflect on development processes in a consistent and structured manner are needed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.