ArticleHealth research policy and systems2018
Use of the self-organising map network (SOMNet) as a decision support system for regional mental health planning.
Article in Health research policy and systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- A taxonomy of the process in implementation science: the Global Impact Analytics Framework (GIAF).Implementation science communications · 2026Article
- Proof of concept studies in mental health systems research: strategy and steps.International journal of mental health systems · 2025Review
- Article
- Adaptation of the technology readiness levels for impact assessment in implementation sciences: The TRL-IS checklist.Heliyon · 2024Article
- Discovering risk patterns in people with affective disorder-induced disabilities associated with their healthcare delay.International health · 2023Article
- Knowledge management tools and mechanisms for evidence-informed decision-making in the WHO European Region: a scoping review.Health research policy and systems · 2023Article
- Impact of the workforce allocation on the technical performance of mental health services: the collective case of Helsinki-Uusimaa (Finland).Health research policy and systems · 2023Article
- Disclosure control of machine learning models from trusted research environments (TRE): New challenges and opportunities.Heliyon · 2023Review
- A Realist Evaluation of Case Management Models for People with Complex Health Conditions Using Novel Methods and Tools-What Works, for Whom, and under What Circumstances?International journal of environmental research and public health · 2023Article
- Patterns of mental health care provision in urban areas: A comparative analysis for local policy in the ACT.PloS one · 2023Article
- Analysis of the mental health service provision in Qatar: Progressing in community mental health in a Middle East country.Frontiers in psychiatry · 2022Article
- Barriers to Use Artificial Intelligence Methodologies in Health Technology Assessment in Central and East European Countries.Frontiers in public health · 2022Article
- A Semiautomated Classification System for Producing Service Directories in Social and Health Care (DESDE-AND): Maturity Assessment Study.Journal of medical Internet research · 2021Article
- An ecosystems approach to mental health services research.BJPsych international · 2021Review
- What Is Rural Adversity, How Does It Affect Wellbeing and What Are the Implications for Action?International journal of environmental research and public health · 2020Article
- Experts' perceptions on the use of visual analytics for complex mental healthcare planning: an exploratory study.BMC medical research methodology · 2020Article
- Regional planning for meaningful person-centred care in mental health: context is the signal not the noise.Epidemiology and psychiatric sciences · 2020Article
- Building the foundation for comprehensive suicide prevention - based on intention and planning in a social-ecological context.Epidemiology and psychiatric sciences · 2019Article
- Healthcare ecosystems research in mental health: a scoping review of methods to describe the context of local care delivery.BMC health services research · 2019Article
- Article
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6 authors.
Funding
Abstract
backgroundDecision-making in mental health systems should be supported by the evidence-informed knowledge transfer of data. Since mental health systems are inherently complex, involving interactions between its structures, processes and outcomes, decision support systems (DSS) need to be developed using advanced computational methods and visual tools to allow full system analysis, whilst incorporating domain experts in the analysis process. In this study, we use a DSS model developed for interactive data mining and domain expert collaboration in the analysis of complex mental health systems to improve system knowledge and evidence-informed policy planning.
methodsWe combine an interactive visual data mining approach, the self-organising map network (SOMNet), with an operational expert knowledge approach, expert-based collaborative analysis (EbCA), to develop a DSS model. The SOMNet was applied to the analysis of healthcare patterns and indicators of three different regional mental health systems in Spain, comprising 106 small catchment areas and providing healthcare for over 9 million inhabitants. Based on the EbCA, the domain experts in the development team guided and evaluated the analytical processes and results. Another group of 13 domain experts in mental health systems planning and research evaluated the model based on the analytical information of the SOMNet approach for processing information and discovering knowledge in a real-world context. Through the evaluation, the domain experts assessed the feasibility and technology readiness level (TRL) of the DSS model.
resultsThe SOMNet, combined with the EbCA, effectively processed evidence-based information when analysing system outliers, explaining global and local patterns, and refining key performance indicators with their analytical interpretations. The evaluation results showed that the DSS model was feasible by the domain experts and reached level 7 of the TRL (system prototype demonstration in operational environment).
conclusionsThis study supports the benefits of combining health systems engineering (SOMNet) and expert knowledge (EbCA) to analyse the complexity of health systems research. The use of the SOMNet approach contributes to the demonstration of DSS for mental health planning in practice.
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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.