Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

Background: The COVID-19 pandemic has necessitated an immediate and large-scale uptake of online treatment for mental health care. However, there is uncertainty about what the “new normal” in mental health care will be like in post–COVID-19 times. To what extent will the experiences gained during the pandemic influence a sustainable adoption and implementation of online mental health care treatment in the future? Objective: In this paper, we aim to formulate expectations with regard to the sustainability of online mental health care after COVID-19. Methods: In an interview study, 11 mental health care professionals were asked about their experiences and expectations for the future. Participants were recruited from a mental health care organization in the Netherlands. The interviews took place between April 7-30, 2020, at the peak of the COVID-19 crisis in the Netherlands. The data were analyzed using a thematic coding method. Results: From the interviews, we learn that the new normal in mental health care will most likely consist of more blended treatments. Due to skill enhancement and (unexpected) positive experiences with online treatment, an increase in adoption is likely to take place. However, not all experiences promise a successful and sustainable upscaling of online treatment in the future. Mental health care professionals are learning that not all clients are able to benefit from this type of treatment. Conclusions: Sustainable upscaling of online mental health care requires customized solutions, investments in technology, and flexibility of mental health care providers. Online treatment could work for those who are open to it, but many factors influence whether it will work in specific situations. There is work to be done before online treatment is inherently part of mental health care.

Background: Owing to no cure for dementia currently, there is an urgent need to look for alternative ways to support these people and their informal caregivers. Carefully designed interventions can answer the unmet needs of both people with dementia and their informal caregivers in the community. However, existing products, systems, and services are often too complex or unsuitable. Objective: This study aims to identify, longitudinally, the changing needs (as dementia progresses) of people with dementia living at home and their informal caregivers. By developing co-creation-based innovations, these changing needs will hopefully be met. Methods: A user-driven Living Lab design is used to structurally explore the needs over time of people with dementia (and their informal caregivers) living in the community in the North Brabant region of the Netherlands. In addition, co-creation-based innovations will be developed, tested, and evaluated by these people and their caregivers at home. All participants will complete complaints-oriented questionnaires at 3 time-points—at the baseline, 1 year, and 2 years after they start participating. Home interviews are scheduled to explore if and how these complaints translate into participants’ specific needs or wishes. Focus groups meet on a monthly basis to further identify the needs of people with dementia and their informal caregivers and provide feedback to the stakeholders. In the context field, participants have an opportunity to actually test the products at home and provide feedback. Quantitative outcome measurements include neuropsychiatric symptoms, cognitive decline, independence in activities of daily living, safety, and caregiver burden. Qualitative outcome measurements include feedback to the stakeholders regarding the needs of people with dementia and their informal caregivers and how these needs change over time, as well as user experiences about the specific innovations. Results: Participant recruitment will start in September 2018 and is ongoing. The first results of data analyses are expected in the spring of 2019. Conclusions: The overall aim of Innovate Dementia 2.0 is to facilitate person-centered innovations developed for people with dementia and their informal caregivers at all stages as dementia progresses. This should lead to newly designed concepts and innovations, which are better able to answer the needs of people with dementia and their caregivers in the community. International Registered Report Identifier (IRRID): PRR1-10.2196/10952

Background: Working toward a healthy living environment requires organizations from different policy domains and nongovernment partners involved in public health and the living environment to collaborate across sectors. The aim of this study is to understand how this cross-sector collaboration for a healthy living environment can be achieved. Methods: The realist evaluation approach was used to investigate what strategies can be used in which contexts to achieve cross-sector collaboration. The “Collaborative Adaptive Health Networks” framework was used as a theoretical framework. Seventeen partners of three Dutch projects collaborating for a healthy living environment in different regions were interviewed about their experiences during the initiating phase of their projects. Results: Seven themes for achieving cross-sector collaboration were identified, namely creating a feeling of equivalence, building trust, bridging different perspectives, providing clarity regarding roles and tasks, creating commitment, creating active engagement, and understanding whom to engage and when. For each theme, the strategies that were used, and why, were specified. Conclusion: This study provides new insights in how cross-sector collaboration for a healthy living environment can be achieved in different contexts. Whether the start of a cross-sectoral collaboration is successful is largely influenced by the choice of leadership and the interorganizational relations.

Aim: To examine (1) how flexibility is defined and described in healthcare literature and (2) which interventions are used at what organisational level to influence flexibility. Background: Flexibility is necessary in healthcare for continuous adaptation to the dynamic environment. In accordance with Social Ecological Theory, it takes the combination of all organisational levels to achieve flexibility (individual, interpersonal, organisational, community, and macro-policy). However, managing this is complex. Evaluation: Using Psychinfo and Web of Science, a systematic search was performed on flexibility in health care organisations. The 19 studies that met the selection criteria were analysed from a social ecological perspective. Eight publications described flexibility as a result of interventions, but provided little information about their evidence base. Key issues: It is difficult to achieve flexibility: a pro-active attitude and capability to adapt internal processes to the changing environment. Interventions promoting flexibility in healthcare need all organisational levels, since they mutually influence each other. Conclusion: This study shows that there is too little evidence on how to create flexibility in healthcare organisations. Implications for management: Change in healthcare is continuous. Therefore, flexibility should be a permanent pro-active attitude of both managers and professionals and should take all organisational levels into account.

Background: The last few decades have witnessed significant advances in the development of digital tools and applications for mental health care. Despite growing evidence for their effectiveness, acceptance and use of these tools in clinical practice remain low. Hence, a validated and easy-to-use instrument for assessing professionals’ readiness to adopt eMental health (EMH) is necessary to gain further insights into the process of EMH adoption and facilitate future research on this topic. Objective: The aim of this study is to develop and validate an instrument for assessing mental health care professionals’ readiness to adopt EMH. Methods: Item generation was guided by literature and inputs from mental health care professionals and experts in survey development. Exploratory factor analyses were conducted on an initial set of 29 items completed by a sample of mental health care professionals (N=432); thereafter, the scale was reduced to 15 items in an iterative process. The factor structure thus obtained was subsequently tested using a confirmatory factor analysis with a second sample of mental health care professionals (N=363). The internal consistency, convergent validity, and predictive validity of the eMental Health Adoption Readiness (eMHAR) Scale were assessed. Results: Exploratory factor analysis resulted in a 3-factor solution with 15 items. The factors were analyzed and labeled as perceived benefits and applicability of EMH, EMH proactive innovation, and EMH self-efficacy. These factors were confirmed through a confirmatory factor analysis. The total scale and subscales showed a good internal consistency (Cronbach α=.73-.88) along with acceptable convergent and predictive relationships with related constructs. Conclusions: The constructed eMHAR Scale showed a conceptually interpretable 3-factor structure having satisfactory characteristics and relationships with relevant concepts. Its ease of use allows for quick acquisition of data that can contribute to understanding and facilitating the process of adoption of EMH by clinical professionals.