Published on 19.08.19 in Vol 21, No 8 (2019): August
Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/12972, first published Nov 30, 2018.
The Importance of Systematically Reporting and Reflecting on eHealth Development: Participatory Development Process of a Virtual Reality Application for Forensic Mental Health Care
Background: The 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.
Objective: The 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).
Methods: In 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.
Results: Information 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.
Conclusions: Reflection 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.
J Med Internet Res 2019;21(8):e12972
Electronic health (eHealth)—a technology to support health, well-being, and health care—can offer many benefits, such as increased quality of care, easily accessible health care, and increased self-management . However, these benefits are often not fully realized in practice [ ]. A possible explanation for this is that technology does not optimally fit the needs, wishes, and characteristics of the involved end users and their context [ - ]. A way to improve this fit is thorough participatory eHealth development in which potential end users are structurally involved in the development process [ , - ]. Consequently, many efforts have been made to create models, approaches, and guidelines for development of eHealth technologies. Examples are the CeHRes Roadmap (the Centre for eHealth Research Roadmap) [ ], the person-based approach [ ], the accelerated creation-to-sustainment model [ ], intervention mapping [ ], the persuasive system design model [ ], and the agile science approach [ ]. Most of these models and approaches do not offer concrete prescriptions for ready-to-use research methods that fit specific contexts and people. Instead, they present abstract guidelines for development to support researchers in shaping their development process. Although a step-by-step, detailed prescription of a specific development process does not seem feasible because of different characteristics of contexts, people, and technologies, there does seem to be a need for more knowledge and guidelines on how to apply these models in practice [ ]. To support researchers in operationalizing development models, we propose that a general tool kit with a broad range of eHealth development methods might be developed. Such a tool kit can provide an overview of broad-range development methods and guidelines on when and how to apply them. In this way, it can support researchers in choosing appropriate methods for the context and end users with which they are working and different phases of their development process. Using a tool kit can prevent other researchers from having to reinvent the wheel and result in more efficient and better substantiated development processes.
To create a tool kit, more generalizable knowledge on eHealth development methods is necessary. To build this knowledge base, more case studies that explain and reflect on specific development methods used seem to be necessary . On top of that, there also should be more critical reflection on eHealth development models [ , ], mostly to be able to constantly improve these models to keep them in line with the most recent insights. Although there are several studies that describe development processes of eHealth technologies [ - ], there seems to be no standardized way of reporting and reflecting on the methods used. Also, an in-depth critical reflection on the development model used is often lacking. To fill these gaps in the literature, this case study presents and reflects on the development process of a virtual reality (VR) application for forensic mental health care. This study had 2 main goals. First, it aimed to increase knowledge on suitable methods for participatory eHealth development. This contributes to creating the aforementioned tool kit. Second, it aimed to reflect on the development model used to guide the process: the CeHRes Roadmap. Combined with other studies that reflect on this model, this can result in further improvement of the Roadmap.
The CeHRes Roadmap
In this study, the aforementioned CeHRes Roadmap  was applied to shape the development process of the VR application. This development model specifically focuses on eHealth development, implementation, and evaluation with structural stakeholder involvement [ , , ]. The Roadmap has been proven useful for eHealth development in multiple settings [ , , ] and seems to be suitable for development in complex contexts [ ], such as forensic mental health care. The Roadmap is based on 5 principles that are also acknowledged by other studies on eHealth development:
- eHealth development should be a participatory process—structurally and actively involving stakeholders during development is important [ , , , ].
- eHealth should not be seen as a separate, stand-alone tool but has to be integrated in a health care context, which also implies changes in the way health care is delivered [ , , ].
- eHealth development and implementation should be intertwined; implementation is a very complex activity that should be accounted for from the start of the development process [ , ].
- eHealth technologies should be based on theories from persuasive design, which can be used to support behavior and attitude change via technology [ ].
- Continuous, formative evaluation in eHealth development is important to enable creating by evaluation [ , , , ].
These principles are translated into a model with 5 phases with accompanying goals, which are presented in[ ]. This model can be used by developers to shape their development approach [ , , ]. As the aim of this paper is to describe the development of eHealth technology and not the implementation or evaluation, the focus lies on the first 2 phases of the Roadmap: the contextual inquiry and value specification. These phases aim to create a thorough foundation for a technology and account for the interrelationship among the context, the people involved, and the technology. In the contextual inquiry, relevant stakeholders are identified, their roles, tasks, and opinions are analyzed, and the current situation and its weak and strong points are described to determine if and in what way technology can contribute. In the value specification, the values of the key stakeholders have to be identified and prioritized to determine what the added value of a technology should be. These values have to be translated into specific requirements that state what the technology should be able to do and look like [ ].
Due to the involvement of 2 of the researchers in the development process, this research can be labeled as an action study. In this study, the development process of a VR application for the treatment of forensic psychiatric patients is presented. This project was initiated and mostly took place at Transfore, a forensic hospital in the east of the Netherlands, which offers forensic mental health care to both in- and outpatients. Forensic mental health care is a complex branch of mental health care, which is situated at the intersect between mental health care and the law because it deals with the combination of mental illness and delinquent behavior. In forensic mental health care, inpatients who reside in a closed setting and outpatients who are living at home are treated for sexual or aggressive criminal behavior [, ]. A primary goal is to prevent criminal recidivism by means of treatment of offense-related factors, such as antisocial behavior or coping skills. Owing to their low motivation for treatment, low educational levels, and comorbid psychiatric disorders [ - ], forensic psychiatric patients can be characterized as a vulnerable patient population [ , ], which can be hard to include in research [ ].
Multiple studies have pointed out the potential of VR for the assessment and treatment of forensic psychiatric patients [- ]. VR offers the possibility to practice coping skills instead of talking about them, can be used to overcome practical issues for inpatients residing in clinics, and can enable therapists to observe patients’ reactions to offense-related stimuli or situations, such as children, drugs, or aggressive persons [ - ]. In VR, users enter computer-generated worlds that substitute their real-world sensory experiences with virtual ones [ ], resulting in a feeling of presence: a sense of actually being in a virtual place [ ]. Although VR applications have been used in mental health care, especially in exposure therapy for phobias [ ], not much is known about its application in the treatment of forensic psychiatric patients [ ]. Furthermore, little attention has been paid to how VR interventions should be developed for mental health care in general [ ]. In our recent systematic review, we found that there are hardly any studies that discuss the development of technologies for forensic mental health [ ]. However, especially in such a complex context in which there is little experience with the application of VR, thorough development is important [ , ]. Consequently, a thorough contextual inquiry and value specification to provide a good foundation for the application were especially important.
Materials and Procedures
In this study, multiple methods were used to operationalize the first 2 phases of the CeHRes Roadmap. The development process started with the contextual inquiry. In this phase, the stakeholders were identified, a literature review was conducted, and a multidisciplinary project team to coordinate the project was constituted. Also, focus groups and interviews with forensic patients and therapists were held. In the value specification phase, 6 scenarios with concepts for VR applications were generated by the multidisciplinary project team. These concepts were presented to the patients, therapists, and stakeholders in a Web-based questionnaire. Next, values were formulated and used to create a concept for a VR app. This concept was visualized in a low-fidelity prototype and presented to the patients and therapists in an interview to examine their opinions and preferences. These activities were not performed sequentially: several methods were conducted alongside each other or were updated throughout the process . provides an overview of the methods used in the development process. The arrows represent the iterative nature of the process and show that the methods and results of the contextual inquiry and value specification are not strictly separated but overlap. For more in-depth information about the results of the interviews and questionnaire, we refer readers to 2 other papers [ , ] that focus more on the content of the results and potential of VR for forensic mental health instead of a reflection on the methods and overall development process.
To reflect on the suitability of the methods and overall development process, we provided the most relevant information about each research method in a comprehensive table. The aim of this table is to present the goals, methods, results, and experiences with each method as clearly and concisely as possible. For each development method, the following information is reported:
- Research question: The research question for the development activity.
- Method: The name of the method, including the most relevant methodological information.
- Target group: If applicable, a description of the target group of which the data were collected and characteristics of the participants.
- Main results: A summary of the most important results and, if necessary, a reference to a Multimedia Appendix with further information about these results.
- Conclusions: The main conclusions and recommendations for further steps of the development process, which were drawn based on the results.
- Lessons learned: A reflection on the suitability of the method for the specific development phase, target group, and research question.
In the contextual inquiry, we generated an overview of relevant stakeholders and their roles and tasks. Furthermore, the current situation and its points of improvement were analyzed to determine if and in what way VR could contribute to treatment in forensic mental health . We used multiple methods that are provided in below.
|Research goal||Method||Target group||Main results||Conclusions||Lessons learned|
|Creating an overview of people and organizations who had a stake in the development process||Stakeholder identification: Via desk research, expert recommendations, and snowball sampling , constantly updated throughout the project||Not applicable||Identification of a broad range of stakeholders, such as end users, financers of care, knowledge institutes, and other forensic care organizations—see(1.1) for a visualization of the identified stakeholders||Stakeholder identification was useful to identify potential financers, participants, or institutions for data collection and to look for potential development partners|
|Constituting a multidisciplinary project team comprising patients, therapists, managers, and researchers to coordinate the project||Project team composition: In total, 5 potential end users (patients and therapists) were asked to join the team by the policy advisor of the organization in which the project took place (convenience sampling) to coordinate the project . A total of 2 researchers were added for methodological and theoretical knowledge||Not applicable||The project team with 2 patients, 3 therapists, 2 researchers, and 1 policy advisor (n=8) was responsible for content-related and practical activities, such as structuring the development process, setting up studies, and accompanying research goals, interpreting results, decision making, and planning||The multidisciplinary project team was found to be essential for the coordination of the project, mostly because of the integration of different perspectives.|
|Determining how far there is support and enthusiasm for VRa in forensic mental health care and identifying the ideas of therapists and patients about potential ways of using VR in treatment||Focus groups: Structure: presentations on VR by 2 companies, trying out VR by participants, individually coming up with ideas about VR in treatment, creating ideas in groups of 4, presenting the ideas to the entire group ; The duration of the focus groups was 2 hours and data were collected via researchers’ notes and templates filled in by the participants (see: 1.2).||Patients (n=14) and therapists (n=23)||Most participants were very positive about VR. There was a broad range of ideas about using VR, for example, to improve skills, enhance insight by therapists or loved ones, or treat specific disorders, such as psychosis or posttraumatic stress disorder. See(1.3) for a table with the main results of the focus groups.||There appeared to be many possibilities, but further specification and insight into why and how VR should be used was required|
|Gaining an overview of all studies and current initiatives concerning VR in treatment of (forensic) psychiatric patients||Literature study and desk research: Scientific database, search string (virtual reality OR VR OR augmented reality OR AR) AND (treatment OR intervention OR therapy) AND (forensic OR offend* OR crim*) and searching the internet, talking to stakeholders, and visiting conferences||Not applicable||In July 2017, only 6 relevant studies were found, mostly focused on the assessment of sexual delinquents [- ] or general literature studies on VR [ , ]. Multiple ongoing projects were identified via desk research but with no accompanying scientific publications or available products||Not much is known about VR in forensic mental health care in both practice and research, so there appeared to be a need for a bottom-up development process to identify why and in what way VR could be used|
|Identifying points of improvement in the existing forensic mental health treatment of in- and outpatients and possible applications of VR, which could improve the current situation, according to therapists and patients||Interviews: current situation: The first part of the interview scheme focused on points of improvement of the current treatment (regardless of VR) , the second part focused on the possibilities of VR to improve the current treatment. The outcomes of the focus groups were used to structure the interview scheme||Therapists (n=8) and patients (n=3), working or treated at multiple locations of Transfore, the forensic hospital.||Via inductive coding , 2 types of codes were identified in line with the 2 research questions. Points of improvement were related to patients’ return to society; specific patient characteristics, such as treatment motivation; and treatment characteristics, such as skills training. Possibilities of VR were skills training with interaction, observation of patients’ reactions, and creating insight for others. The codes can be found in (1.4)||The interviews gave much information about why and how VR could be of added value. However, there were still too many possible directions to make a grounded decision about the goal and content of VR. Additional research into the needs and wishes of end users was required|
aVR: virtual reality.
In the value specification phase, the outcomes of the contextual inquiry were used to further specify what the added value of a technology should be according to the key stakeholders. Again, multiple methods were used to identify the stakeholders’ preferences and opinions on VR in forensic treatment and prototypes to specify these abstract values were created. These methods are provided in.
|Research goal||Method||Target group||Main results||Conclusions||Lessons learned|
|Generating multiple ideas on the use of VRa in forensic mental health care, based on the outcomes of the contextual inquiry||Idea generation—scenarios: In 3 sessions, all project team members individually brainstormed about ideas for VR applications. The 6 most promising ideas were worked out in a template (see: 1.5) by multiple project team members. On the basis of these templates, scripts were written and 6 short videos were filmed||Not applicable||A short video was created for each of the 6 ideas. All videos had the same underlying structure: the goal of VR, its use during treatment, an example, and the desired outcomes. The videos (with English subtitles) can be watched on YouTube . An example of a scenario can be found in (1.6)||The videos made clear that there are a lot of promising possibilities for VR in forensic mental health, so it appeared to be necessary to make decisions about what to prioritize and why|
|Identifying (1) the preferences of stakeholders of the 6 ideas and (2) the stakeholders’ values regarding VR in forensic mental health care||Web-based questionnaire: After asking sociodemographic questions, the 6 videos were presented to the participants in random order. After each video, the PIIb [, ] a question about the participant’s grade for the idea, and 3 open questions on positive points, points of improvement, and suggestions for the idea were provided||Patients (n=19); therapists (n=89); other stakeholders (n=38), such as parole officers or researchers from different Dutch forensic institutions||There were no significant differences between the grades and PII scores for ideas. A broad range of positive and negative aspects and remarks were identified via inductive coding. These can be found in(1.7)||The results of the questionnaire were mostly in line with the interviews but provided more detailed and specific information, for example, how VR should be personalized and which skills should be trained|
|Formulating values that capture what the added value of the technology should be for people and context, according to the stakeholders||Value formulation: On the basis of all previous results, 2 researchers created attributes that summarized the needs or wishes of stakeholders . On the basis of categories of related attributes, accompanying values that stated what VR should achieve, improve, or add according to the stakeholders [ , ] were formulated. The values were discussed by the project team and minor adjustments were made accordingly||Not applicable||A total of 43 attributes and 13 values were formulated. An example of how a value was created can be found in(1.8). The following values were formulated: fit with patient; improvement of skills; insights into behavior, thoughts, and feelings; bridge between treatment room and practice; generalization of skills to daily life; safety; treatment motivation; unique addition to current treatment; ease of use within treatment; cooperation between patient and therapist; wide applicability; affordability; and constant adaptation of the application||Formulating values proved to be a very good way to get to the point and summarize the essence of the results so far. It forced the project team to critically think about the overall added value and goals of the VR app and prevented them from getting lost in details or a tunnel vision|
|Generating a concept for a VR application based on the values and previously gathered results||Idea generation—prototyping: The project team discussed the values, attributes, and outcomes of all research activities and their implications for a VR application. Via multiple brainstorming sessions in which multiple low-fidelity prototypes were created, a first version of an idea was developed||Not applicable||The main goal of the VR application was to support therapists and patients in identifying triggers that can elicit undesired behavior and search for helpers that can support the patient in dealing with these triggers. Patient and therapist can together build personalized scenarios via a dashboard with several categories that contain elements that can be added to a scenario (see: 1.9 for the prototype)||The developed concept was a combination of elements of all 6 videos that were created by the project team. Also, important concepts that already arose from the interviews were present in the idea, for example, personalization, skills training, and new insights|
|Investigating (1) how far the stakeholders’ opinions of the concept match the previously formulated values and (2) if changes to the concept are required for it to optimally fit the stakeholders’ preferences||Interviews—idea finalization: In the first part, open-ended questions, based on an adapted version of the TAMc , were asked to check the attitudes toward the concept of the VR application. The second part focused on the participant’s overall opinion of the VR application. The developed low-fidelity prototype and a scenario on its use in treatment were used||Patients (n=10) and therapists (n=8) from all different locations of Transfore, the forensic hospital||The first part was coded deductively using the constructs of the TAM (see: 1.10), the second part was coded deductively with the 13 formulated values (see : 1.11). Overall, the idea was evaluated positively, but there were some concerns about the ease of use of the application. All values were, to some extent, present in the participants’ answers. Most positive remarks were about the added value for treatment, for example, fit with patient and new insights. Points of attention were related to the implementation in treatment||Overall, the idea fits the values of the participant, mostly with regard to the unique added value to treatment. No major changes to the basic idea were necessary. In later stages, attention should be paid to the usability of the application, training, and protocols to successfully embed VR in treatment|
aVR: virtual reality.
bPII: personal involvement inventory.
cTAM: technology acceptance model.
Reflection on Development Methods
The main goals of this study were to analyze the suitability of the development methods for participatory eHealth development in a complex context and reflect on the development model used: the CeHRes Roadmap. This study can contribute to the development of a broad tool kit from which researchers can choose appropriate methods for the stage of their development process, participants, and context. In hindsight, this study would have benefited from such a tool kit, as the results showed that all methods generated valuable information, but not each method proved to be very suitable for the target group and their context. Besides generating knowledge on suitable methods, this type of study can also facilitate reflection and accompanying improvements of the development model used. Although this study offers a contribution, more studies that pay attention to development methods and models are required to make generalizable statements about methods and models.
The first goal of this study was to reflect on the suitability of different development methods. The relevance of this goal became clear from the experiences of the project team, as a major challenge was to identify the suitable methods for the forensic psychiatric patient population. These types of vulnerable patient populations are often difficult to involve in research, and not much is known about the suitable methods for these types of population [, ]. On the basis of the experiences with methods used in this study, several conclusions and recommendations can be drawn on the suitability of methods.
A first set of recommendations focuses on involving patients in research. First of all, working with concrete examples seemed to work better than merely asking patients for their opinion or ideas without much guidance or input . Using existing or potential examples is also possible in the earliest stages of the process, when not much is known yet, and can be done by using methods derived from a human-centered design, such as scenarios, personas, or prototypes [ , ]. A second recommendation based on the findings of this study is to keep data collection as short as possible, because patients might have difficulties with concentration or are not motivated to invest a lot of time. This recommendation is also relevant for health care professionals, because although researchers often want to collect as much data as possible, the professionals often not have a lot of time to participate [ ]. The balance between how much in-depth information should be collected and the duration of data collection was experienced as difficult, so more research on this topic is needed. Finally, participating in research should be perceived as personally relevant or rewarding [ ]. Although we used rewards such as VR goggles in the questionnaire and interviews, including participants for the focus groups proved to be easier. A reason for this might have been that participants could experience VR during the focus groups, which was perceived as new and exciting by both patients and therapists. Consequently, it appears to be worthwhile to spend time on identifying personally relevant rewards for participants.
The second set of recommendations centers on combining multiple methods and perspectives to paint a clear and complete picture of the context and stakeholder perspective. First, although involving patients proved to be very valuable, the development process also benefited from the perspectives of other types of stakeholders, such as therapists, managers, researchers, and technology developers, as they might have different needs or a more overarching view [, ]. For example, the analysis of the first set of interviews showed that patients mostly mentioned the use of VR to observe situations and stimuli, whereas therapists also pointed out the importance of other possibilities, such as skill training, which was not mentioned by the patients. Second, involving participants via multiple methods enabled the project team to gain different types of information that supported them in getting a good grasp of all perspectives on VR in forensic mental health care. Finally, it can be concluded that more knowledge on suitable methods for involving patients, therapists, and other stakeholders in eHealth development is needed to be able to make more generalizable statements and create a tool kit [ ].
Operationalization of the Development Model
Besides reflections on development methods, this study also aimed to reflect on the application of the development model that was used: the CeHRes Roadmap. It is of course not possible to conclude whether the development process guided by the CeHRes Roadmap resulted in better outcomes than another development method, partly because that would require 2 parallel development processes in identical settings , which is difficult both practically and conceptually. Nevertheless, based on the experiences of the project team, it can be concluded that the CeHRes Roadmap provided a valuable guidance for the development process. This process resulted in a concept for a VR application that is based on the wishes and preferences of the therapists and patients. The fit with their wishes became especially clear in the second round of interviews that showed that participants were enthusiastic about the concept and their opinions closely matched the previously formulated values.
On the basis of the experiences of this study, several recommendations can be made on how to operationalize the CeHRes Roadmap and similar development models. First of all, an important principle of eHealth development is that it should comprise multiple formative evaluation cycles. The experiences of this study confirmed that the Roadmap should not be used as a linear, sequential approach with a fixed order of phases and accompanying activities . To illustrate, the first set of interviews and focus groups provided information that was relevant for both the contextual inquiry and value specification phase. Also, during the value specification, activities from the design phase, such as prototyping and scenarios, were used to elicit opinions. Consequently, although the phases of the Roadmap are visualized as separate blocks (see ), they should be used as overlapping, interwoven sets of principles and methodologies. A thorough understanding of the principles of the Roadmap appeared to be more important than strictly following the order of separate phases.
A second important finding was that the formulation of clear, specific research goals was pivotal in structuring this development process. A pitfall of an elaborate development process in a complex setting is that it might become unstructured or vague [, ]. We tried to prevent this by formulating multiple clear, specific research questions that were based on the goals of the Roadmap’s phases and its 5 underlying principles [ ]. To keep the process coherent, the project team carefully thought about how these research questions related to the outcomes of the previous development activities. Also, we added multiple formative evaluations to check whether the outcomes of different activities remained consistent with each other. This process is visualized in .
Third, although constituting and managing an interdisciplinary project team was complex and time-consuming, the team was found to be an important part of the development process as it facilitated decision making from multiple perspectives [, , ]. Multidisciplinary teamwork in health care is often complex [ ], so several measures were taken to increase the chances on a successful collaboration. Among other things, patients and therapists that participated in the project team were involved as active co-designers instead of passive informants [ , ] and thus took part in activities, such as designing studies, interpreting results, and creating and adapting ideas. To achieve this, the project leader ensured that each project team member had a clear task, as was, for example, done in the creation of scenarios, where each member actively participated in creating an idea and writing the script for 2 of the videos. Fourth, much attention was paid to the functioning of the team. Among other things, roles and tasks of all team members were made clear; regular, bimonthly meetings were held and there was ample communication in between meetings; individual members got the opportunity to be involved in activities of their own choice; there was a mix of skills and interests of members; there was a positive climate of trust and common respect; and, importantly, the team had a common, clear goal [ ]. However, as these findings are based on only 1 development process, they are not generalizable. As the functioning of a project team seems to be a relevant topic in eHealth development, more studies on how to compose and organize multidisciplinary project teams should be conducted to be able to draw generalizable conclusions and recommendations. Finally, when operationalizing the CeHRes Roadmap—or any other development model—a thorough understanding of the model’s underlying principles, continuous formative evaluations to prevent tunnel vision, clear research questions with suitable methods, and a well-functioning multidisciplinary team were found to be important.
Reflection on the CeHRes Roadmap
While using the CeHRes Roadmap to shape the development process, we identified several strong points but also some points of improvement. First of all, the participatory development principle was used to determine what the main goal of the VR application should be in a bottom-up manner. According to this principle, it is important to involve users from the start to ensure that a technology addresses actual problems or points of improvement and is of added value for them . However, in many cases, the goal of an eHealth technology is determined by researchers and/or developers, and stakeholders are involved as mere informants in later stages to provide feedback on concepts that were created in a top-down manner [ ]. In this project, we tried to prevent this by actively involving stakeholders from the start, among other things, by asking them about points of improvement of the current situation and enabling them to come up with their own ideas about VR. Further along the process, values were formulated to specify the goal of the VR application. These values forced the project team to explicitly state the added value that a technology should have for patients and therapists. However, during the value specification, we noticed that there was a lack of clear guidelines on how to formulate these values and what topics they should cover. Although this value-driven approach was experienced as useful to keep an eye on people and their context, there is still much uncharted territory. We recommend that more studies using values in their development process should be conducted to be able to create clear guidelines.
Second, the Roadmap emphasizes the importance of formative evaluation and use of multiple methods. This indeed proved to be essential in this development process, especially because at the start of the project, there was no knowledge about the use of VR in forensic treatment. Consequently, much information had to be generated to make substantiated choices for the goal and content of the VR app. Just using 1 or 2 research methods would not have sufficed. This can be illustrated by the following example on personalization of VR. The first interviews and literature study indeed pointed out that personalization was important [- ] but did not provide in-depth information about this topic. The results of the questionnaire offered more insights into what stakeholders wanted to be able to personalize: virtual people, environments, and scenarios. Throughout the process, the project team further specified these preferences and translated them into concepts for personalized VR applications via low-fidelity prototypes that were evaluated with stakeholders and fine-tuned accordingly. If only 1 interview study would have been conducted, the project team would not have had enough input to create a personalized VR application. A disadvantage of the multimethod, iterative approach was that it was very time-consuming. It might be possible that, if more would have been known about VR in forensic mental health care or suitable development methods, less research would have been required, which might have resulted in a shorter and more efficient development process. But again, more research on different types of development methods is required to draw more conclusions on this topic.
Finally, when reflecting on the development process, a more systematic approach toward involving domain-specific theories and models could have been used. Owing to the involvement of researchers and professionals with much knowledge on existing treatment models and theories on offending, this information was included but in an ad hoc manner. As other studies and models such as intervention mapping point out, it is important to incorporate theories that explain and change behavior in eHealth interventions [, , , ]. In this project, this relates to models that explain delinquent behavior or theories that underpin treatment of forensic psychiatric patients, such as the general theory of crime [ ] or the risk-need-responsivity model [ ]. Consequently, we recommend that the use of domain-specific theories and models to explain behavior and treatment can be explicitly integrated in the Roadmap. To do this, the pillar on persuasive design could be adapted. In its current state, it focuses on behavior change via persuasive design. We suggest a change to this pillar, so that, besides persuasive theory, it also entails the use of domain-specific theories and models throughout the entire development process. Goals and activities derived from this adapted principle could be added to the contextual inquiry and value specification phases to add more focus on domain-specific theories at the beginning of the development process.
This study described and reflected on the methods and development model used in a development process of a VR application for a complex setting: forensic mental health care. To take the domain of eHealth development to the next level, more studies need to report and reflect on the development processes in a standardized way to generate more knowledge on suitable methods. This might result in a tool kit that researchers can use to choose and operationalize methods. Based on this study, we conclude that eHealth development is much more than programing a technology or just going with the flow; it requires thorough research via methods that fit the participants, stage in the development process and context, structured project coordination by a multidisciplinary project team, a flexible and open mind-set, and the inclusion of multiple perspectives in every decision.
Funding for this study was provided by Stichting Vrienden van Oldenkotte. The authors would like to thank the members of the VooRuit met VR project team for their valuable contributions to this project: Dirk Dijkslag, Kirby Weerink, Ron Voorhuis, Jakob Visser, Kevin Krimmel, and Anne Marike Halma. A special thanks to Ankie Kuiper and Ines Brünninghoff for their work in analyzing the questionnaire and conducting the second set of interviews and to Kirby Weerink for conducting the first round of interviews.
Conflicts of Interest
Main results of the research methods.PDF File (Adobe PDF File), 1MB
- van Gemert-Pijnen L, Kip H, Kelders SM, Sanderman R. Introducing ehealth. In: van Gemert-Pijnen L, Kelders SM, Kip H, Sanderman R, editors. eHealth Research, Theory and Development: A Multi-Disciplinary Approach. London: Routledge; 2018:23-46.
- Mohr DC, Schueller SM, Montague E, Burns MN, Rashidi P. The behavioral intervention technology model: an integrated conceptual and technological framework for ehealth and mhealth interventions. J Med Internet Res 2014 Jun 5;16(6):e146 [FREE Full text] [CrossRef] [Medline]
- van Gemert-Pijnen L, Peters O, Ossebaard HC, editors. Improving eHealth. The Netherlands: Eleven International Publishing; 2013.
- Beerlage-de Jong N. eHealth vs Infection: Participatory Development of Persuasive eHealth to Support Safe Care. The Netherlands: University Library/University of Twente; 2016.
- Pieterse ME, Kip H, Cruz-Martínez RR. The complexity of ehealth implementation: a theoretical and practical perspective. In: van Gemert-Pijnen L, Kelders SM, Kip H, Sanderman R, editors. eHealth Research, Theory and Development: A Multi-Disciplinary Approach. London: Routledge; 2018:247-270.
- Kip H, van Gemert-Pijnen L. Holistic development of ehealth technology. In: van Gemert-Pijnen L, Kelders SM, Kip H, Sanderman R, editors. eHealth Research, Theory and Development: A Multi-Disciplinary Approach. London: Routledge; 2018:151-186.
- Michie S, Yardley L, West R, Patrick K, Greaves F. Developing and evaluating digital interventions to promote behavior change in health and health care: recommendations resulting from an international workshop. J Med Internet Res 2017 Dec 29;19(6):e232 [FREE Full text] [CrossRef] [Medline]
- Patrick K, Hekler EB, Estrin D, Mohr DC, Riper H, Crane D, et al. The pace of technologic change: implications for digital health behavior intervention research. Am J Prev Med 2016 Dec;51(5):816-824. [CrossRef] [Medline]
- van Gemert-Pijnen JE, Nijland N, van Limburg M, Ossebaard HC, Kelders SM, Eysenbach G, et al. A holistic framework to improve the uptake and impact of ehealth technologies. J Med Internet Res 2011 Dec 5;13(4):e111 [FREE Full text] [CrossRef] [Medline]
- Yardley L, Morrison L, Bradbury K, Muller I. The person-based approach to intervention development: application to digital health-related behavior change interventions. J Med Internet Res 2015 Jan 30;17(1):e30 [FREE Full text] [CrossRef] [Medline]
- Mohr DC, Lyon AR, Lattie EG, Reddy M, Schueller SM. Accelerating digital mental health research from early design and creation to successful implementation and sustainment. J Med Internet Res 2017 Dec 10;19(5):e153 [FREE Full text] [CrossRef] [Medline]
- Eldredge LK, Markham CM, Ruiter RA, Fernández ME, Kok G, Parcel GS. Planning Health Promotion Programs: An Intervention Mapping Approach. Hoboken, New Jersey: John Wiley & Sons; 2016.
- Oinas-Kukkonen H, Harjumaa M. Persuasive systems design: key issues, process model, and system features. Commun Assoc Inf Syst 2009;24(1):28. [CrossRef]
- Hekler EB, Klasnja P, Riley WT, Buman MP, Huberty J, Rivera DE, et al. Agile science: creating useful products for behavior change in the real world. Transl Behav Med 2016 Dec;6(2):317-328 [FREE Full text] [CrossRef] [Medline]
- van Gemert-Pijnen L, Kelders SM, Kip H, Sanderman R, editors. eHealth Research, Theory and Development: A Multi-Disciplinary Approach. London: Routledge; 2018.
- Wentzel J, van Velsen L, van Limburg M, de Jong N, Karreman J, Hendrix R, et al. Participatory ehealth development to support nurses in antimicrobial stewardship. BMC Med Inform Decis Mak 2014 Jun 5;14:45 [FREE Full text] [CrossRef] [Medline]
- van Velsen L, Wentzel J, van Gemert-Pijnen JE. Designing ehealth that matters via a multidisciplinary requirements development approach. JMIR Res Protoc 2013 Jun 24;2(1):e21 [FREE Full text] [CrossRef] [Medline]
- Kelders SM, Pots WT, Oskam MJ, Bohlmeijer ET, van Gemert-Pijnen JE. Development of a web-based intervention for the indicated prevention of depression. BMC Med Inform Decis Mak 2013 Feb 20;13:26 [FREE Full text] [CrossRef] [Medline]
- van der Weegen S, Verwey R, Spreeuwenberg M, Tange H, van der Weijden T, de Witte L. The development of a mobile monitoring and feedback tool to stimulate physical activity of people with a chronic disease in primary care: a user-centered design. JMIR Mhealth Uhealth 2013 Jul 2;1(2):e8 [FREE Full text] [CrossRef] [Medline]
- Wolpin SE, Halpenny B, Whitman G, McReynolds J, Stewart M, Lober WB, et al. Development and usability testing of a web-based cancer symptom and quality-of-life support intervention. Health Informatics J 2015 Mar;21(1):10-23 [FREE Full text] [CrossRef] [Medline]
- Beerlage-de Jong N, van Gemert-Pijnen L, Wentzel J, Hendrix R, Siemons L. Technology to support integrated antimicrobial stewardship programs: a user centered and stakeholder driven development approach. Infect Dis Rep 2017 Mar 30;9(1):6829 [FREE Full text] [CrossRef] [Medline]
- Geissbuhler A. Lessons learned implementing a regional health information exchange in Geneva as a pilot for the Swiss national ehealth strategy. Int J Med Inform 2013 May;82(5):e118-e124. [CrossRef] [Medline]
- Covvey HD. Healthcare as a complex adaptive system. In: van Gemert-Pijnen L, Kelders SM, Kip H, Sanderman R, editors. eHealth Research, Theory and Development: A Multi-Disciplinary Approach. London: Routledge; 2018:89-110.
- Greenhalgh T, Wherton J, Papoutsi C, Lynch J, Hughes G, A'Court C, et al. Beyond adoption: a new framework for theorizing and evaluating nonadoption, abandonment, and challenges to the scale-up, spread, and sustainability of health and care technologies. J Med Internet Res 2017 Dec 1;19(11):e367 [FREE Full text] [CrossRef] [Medline]
- Ross J, Stevenson F, Lau R, Murray E. Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update). Implement Sci 2016 Dec 26;11(1):146 [FREE Full text] [CrossRef] [Medline]
- Sieverink F, Köhle N, Cheung K, Roefs A, Trompetter H, Keizer J, et al. Evaluating ehealth. In: van Gemert-Pijnen L, Kelders SM, Kip H, Sanderman R, editors. eHealth Research, Theory and Development: A Multi-Disciplinary Approach. London: Routledge; 2018.
- Flaskerud JH, Winslow BJ. Conceptualizing vulnerable populations health-related research. Nurs Res 1998;47(2):69-78. [CrossRef] [Medline]
- Kip H, Bouman YH, Kelders SM, van Gemert-Pijnen LJ. eHealth in treatment of offenders in forensic mental health: a review of the current state. Front Psychiatry 2018;9:42 [FREE Full text] [CrossRef] [Medline]
- Kip H, Kelders SM, Weerink K, Kuiper A, Brüninghoff I, Bouman YH, et al. Identifying the added value of virtual reality for treatment in forensic mental health: a scenario-based, qualitative approach. Front Psychol 2019;10:406 [FREE Full text] [CrossRef] [Medline]
- Kip H, Kelders SM, van Gemert-Pijnen LJ. Putting the Value in VR: How to Systematically and Iteratively Develop a Value-Based VR Application with a Complex Target Group. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 2019 Presented at: CHI'19; May 4-9, 2019; Glasgow, Scotland UK. [CrossRef]
- van Woezik AF, Braakman-Jansen LM, Kulyk O, Siemons L, van Gemert-Pijnen JE. Tackling wicked problems in infection prevention and control: a guideline for co-creation with stakeholders. Antimicrob Resist Infect Control 2016;5:20 [FREE Full text] [CrossRef] [Medline]
- Renaud P, Trottier D, Rouleau J, Goyette M, Saumur C, Boukhalfi T, et al. Using immersive virtual reality and anatomically correct computer-generated characters in the forensic assessment of deviant sexual preferences. Virtual Real 2013 Oct 30;18(1):37-47. [CrossRef]
- Fromberger P, Meyer S, Kempf C, Jordan K, Müller JL. Virtual viewing time: the relationship between presence and sexual interest in androphilic and gynephilic men. PLoS One 2015;10(5):e0127156 [FREE Full text] [CrossRef] [Medline]
- Renaud P, Chartier S, Rouleau J, Proulx J, Goyette M, Trottier D, et al. Using immersive virtual reality and ecological psychology to probe into child molesters' phenomenology. J Sex Aggress 2011 Nov 8;19(1):102-120. [CrossRef]
- Renaud P, Rouleau JL, Proulx J, Trottier D, Goyette M, Bradford JP, et al. Virtual characters designed for forensic assessment and rehabilitation of sex offenders: standardized and made-to-measure. J Virtual Real Broadcast 2010;7(5):1-9. [CrossRef]
- Fromberger P, Jordan K, Müller JL. [Use of virtual reality in forensic psychiatry. A new paradigm?]. Nervenarzt 2014 Mar;85(3):298-303. [CrossRef] [Medline]
- Benbouriche M, Nolet K, Trottier D, Renaud P. Virtual Reality Applications in Forensic Psychiatry. In: Proceedings of the 2014 Virtual Reality International Conference. 2014 Presented at: VRIC'14; April 9-11, 2014; Laval, France. [CrossRef]
- YouTube. 2018. Vooruit met VR URL: https://www.youtube.com/playlist?list=PLPPQsPUGLUhmgEKfTAr0wJ6UemosnAsiS [accessed 2018-01-04]
- Kelders SM. Involvement as a Working Mechanism for Persuasive Technology. In: Proceedings of the International Conference on Persuasive Technology. 2015 Presented at: PERSUASIVE'15; June 3-5, 2015; Chicago, IL, USA p. 3-14. [CrossRef]
- Zaichkowsky JL. The personal involvement inventory: reduction, revision, and application to advertising. J Advert 1994 Dec;23(4):59-70. [CrossRef]
- Venkatesh V, Davis FD. A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage Sci 2000 Feb;46(2):186-204. [CrossRef]
- van Velsen L, Evers M, Bara CD, den Akker HO, Boerema S, Hermens H. Manage sciunderstanding the acceptance of an ehealth technology in the early stages of development: an end-user walkthrough approach and two case studies. JMIR Form Res 2018 Jun 15;2(1):e10474 [FREE Full text] [CrossRef] [Medline]
- Legris P, Ingham J, Collerette P. Why do people use information technology? A critical review of the technology acceptance model. Inform Manage 2003 Jan;40(3):191-204. [CrossRef]
- Emergency Preparedness and Response | CDC. 2010. Public Health Workbook: To Define, Locate, and Reach Special, Vulnerable, and At-Risk Populations in an Emergency URL: https://emergency.cdc.gov/workbook/pdf/ph_workbookfinal.pdf
- Beerlage-de Jong N, Wentzel J, Hendrix R, van Gemert-Pijnen L. The value of participatory development to support antimicrobial stewardship with a clinical decision support system. Am J Infect Control 2017 Apr 1;45(4):365-371. [CrossRef] [Medline]
- Burns C. Human-centred design. In: van Gemert-Pijnen L, Kelders SM, Kip H, Sanderman R, editors. eHealth Research, Theory and Development: A Multi-Disciplinary Approach. London: Routledge; 2018.
- Dugas M, Trottier ME, Dansokho SC, Vaisson G, Provencher T, Colquhoun H, et al. Involving members of vulnerable populations in the development of patient decision aids: a mixed methods sequential explanatory study. BMC Med Inform Decis Mak 2017 Jan 19;17(1):12 [FREE Full text] [CrossRef] [Medline]
- van der Vaart R, Witting M, Riper H, Kooistra L, Bohlmeijer ET, van Gemert-Pijnen LJ. Blending online therapy into regular face-to-face therapy for depression: content, ratio and preconditions according to patients and therapists using a Delphi study. BMC Psychiatry 2014 Dec 14;14:355 [FREE Full text] [CrossRef] [Medline]
- Feldman SS, Schooley BL, Bhavsar GP. Health information exchange implementation: lessons learned and critical success factors from a case study. JMIR Med Inform 2014 Aug 15;2(2):e19 [FREE Full text] [CrossRef] [Medline]
- Nielsen JA, Mathiassen L. Interpretive flexibility in mobile health: lessons from a government-sponsored home care program. J Med Internet Res 2013 Oct 30;15(10):e236 [FREE Full text] [CrossRef] [Medline]
- Nancarrow SA, Booth A, Ariss S, Smith T, Enderby P, Roots A. Ten principles of good interdisciplinary team work. Hum Resour Health 2013 May 10;11:19 [FREE Full text] [CrossRef] [Medline]
- DeSmet A, Thompson D, Baranowski T, Palmeira A, Verloigne M, de Bourdeaudhuij I. Is participatory design associated with the effectiveness of serious digital games for healthy lifestyle promotion? A meta-analysis. J Med Internet Res 2016 Apr 29;18(4):e94 [FREE Full text] [CrossRef] [Medline]
- Yip J, Clegg T, Bonsignore E, Gelderblom H, Rhodes E, Druin A. Brownies or Bags-of-Stuff?: Domain Expertise in Cooperative Inquiry With Children. In: Proceedings of the 12th International Conference on Interaction Design and Children. 2013 Presented at: IDC'13; June 24-27, 2013; New York, USA p. 201-210. [CrossRef]
- Kip H, Beerlage-de Jong N, Wentzel J. The contextual inquiry. In: van Gemert-Pijnen JE, Kelders SM, Kip H, Sanderman R, editors. eHealth Research, Theory and Development: A Multi-Disciplinary Approach. London: Routledge; 2018:187-206.
- Scaife M, Rogers Y, Aldrich F, Davies M. Designing for or Designing With? Informant Design for Interactive Learning Environments. In: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems. 1997 Presented at: CHI'97; March 22-27, 1997; Atlanta, Georgia, USA p. 343-350. [CrossRef]
- Moller AC, Merchant G, Conroy DE, West R, Hekler E, Kugler KC, et al. Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential. J Behav Med 2017 Feb;40(1):85-98 [FREE Full text] [CrossRef] [Medline]
- Webb TL, Joseph J, Yardley L, Michie S. Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J Med Internet Res 2010 Feb 17;12(1):e4 [FREE Full text] [CrossRef] [Medline]
- Gottfredson MR. A General Theory Of Crime. Stanford: Stanford University Press; 1990.
- Bonta J, Andrews DA. Risk-Need-Responsivity Model for Offender Assessment and Rehabilitation. Canada: Public Safety Canada; 2007.
|CeHRes: Centre for eHealth Research|
|eHealth: electronic health|
|PII: personal involvement inventory|
|TAM: technology acceptance model|
|VR: virtual reality|
Edited by G Eysenbach; submitted 30.11.18; peer-reviewed by L van Velsen, C Prahm, E Børøsund; comments to author 31.03.19; revised version received 26.04.19; accepted 10.06.19; published 19.08.19
©Hanneke Kip, Saskia M Kelders, Yvonne HA Bouman, Lisette JEWC van Gemert-Pijnen. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.08.2019.
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