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The ongoing war in Ukraine is having profound impacts on both the local and global economy, as well as the infrastructure and overall well-being of the people. The prolonged duration of the conflict, coupled with its many related consequences such as total uncertainty, unfavorable economic conditions, and a distressing media backdrop, have a lasting impact on the mental health of the population. The ongoing war in Ukraine has exposed weaknesses in the national mental health care system and underscored the importance of mental health economics. To prevent further mental health problems, it is crucial to develop a comprehensive set of measures aimed at strengthening the capacity of the mental health care system in Ukraine. Currently, Ukraine’s mental health care system suffers from a lack of financial and human resources, which hinders its ability to provide adequate support to those in need. To address this issue, joint efforts between Ukrainian mental health stakeholders and the international governmental and non-governmental organizations are needed to provide support and capacity building for mental health services in Ukraine.

The Headspace programme providing co-located mental health services for children and young people started in 2010 [13]. The creation in 2015 of Primary Health Networks (PHNs) sharing boundaries with one or more Local Hospital Networks has provided an opportunity to plan community services at a regional level, assess the needs of communities, the gaps in current services and commission to improve local mental health services. [...]regular patient assessment should enable prompt decisions to escalate care to a higher intensity (step-up), to continue treatment or to reduce the intensity of care (step-down). [...]a GP might encourage a patient to try a programme of supported self-care using a web-based treatment, recognising that timely escalation to a more appropriate level (step-up) may be needed if the patient does not respond to the treatment. [...]integration will need to be progressive and introduced over an appropriate period.

Background Evidence from the context of local health ecosystems is highly relevant for research and policymaking to understand geographical variations in outcomes of health care delivery. In mental health systems, the analysis of context presents particular challenges related to their complexity and to methodological difficulties. Method guidelines and standard recommendations for conducting context analysis of local mental health care are urgently needed. This scoping study reviews current methods of context analysis in mental health systems to establish the parameters of research activity examining availability and capacity of care at the local level, and to identify any gaps in the literature. Methods A scoping review based on a systematic search of key databases was conducted for the period 2005–2016. A systems dynamics/complexity approach was adopted, using a modified version of Tansella and Thornicroft’s matrix model of mental health care as the conceptual framework for our analysis. Results The lack of a specific terminology in the area meant that from 10,911 titles identified at the initial search, only 46 papers met inclusion criteria. Of these, 21 had serious methodological limitations. Fifteen papers did not use any kind of formal framework, and five of those did not describe their method. Units of analysis varied widely and across different levels of the system. Six instruments to describe service availability and capacity were identified, of which three had been psychometrically validated. A limitation was the exclusion of grey literature from the review. However, the imprecise nature of the terminology, and high number of initial results, makes the inclusion of grey literature not feasible. Conclusion We identified that, in spite of its relevance, context studies in mental health services is a very limited research area. Few validated instruments are available. Methodological limitations in many papers mean that the particular challenges of mental health systems research such as system complexity, data availability and terminological variability are generally poorly addressed, presenting a barrier to valid system comparison. The modified Thornicroft and Tansella matrix and related ecological production of care model provide the main model for research within the area of health care ecosystems.

Background Readmission rates are frequently used as a quality indicator for health care, yet their validity for evaluating quality is unclear. Published research on variables affecting readmission to psychiatric hospitals have been inconsistent. The Norwegian specialist mental health care system is characterized by a multi-level structure; hospitals providing specialized -largely unplanned care and district psychiatric centers (DPCs) providing generalized -more often planned care. In certain service systems, readmission may be an integral part of individual patients’ treatment plan. The aim of the present study was to describe and examine the task division in a multi-level health care system. This we did through describing differences in patient population (age, sex, diagnosis, substance abuse comorbidity and length of stay) and admissions types (unplanned vs. planned) treated at different levels (hospital, DPC or both), and by examining whether readmission risk differ according to type and place of treatment of index-admission and travel-time to nearest hospital and DPC. Methods In this population-based cohort study using administrative data we included all individuals aged 18 and older who were discharged from psychiatric inpatient care with an ICD-10 diagnosis F2-F6 (“functional mental disorders”) in 2012. Selecting each individual’s first discharge during 2012 as index gave N  = 16,185 for analyses following exclusions. Analysis of readmission risk were done using Kaplan-Maier failure curves. Results Overall, 15.1 and 47.7% of patients were readmitted within 30 and 365 days, respectively. Unplanned admission patients were more likely to be readmitted within 30 days than planned patients. Those transferred between hospital and DPC during index admission were more likely to be readmitted within 365 days, and to experience planned readmission. Patients with short travel time were more likely to have unplanned readmission, while patients with long travel time were more likely to have planned readmission. Conclusions DPCs and hospitals fill different purposes in the Norwegian health care system, which is reflected in different patient populations. Differences in short term readmission rates between hospitals and DPCs disappeared when type of admission (unplanned/planned) was considered. The results stress the importance of addressing differences in organisation and task distribution when comparing readmission rates between mental health systems.

Background To offer optimal care, the mental health system needs new routes for collaboration, involving both interprofessional and interorganizational aspects. The transition from intramural to extramural mental health care has given rise to new dynamics between public and mental health care, introducing a challenge for interprofessional and interorganizational collaboration. This study aims to determine values and expectations of collaboration and to understand how collaboration in mental health care organizations takes shape in daily practice. Methods We conducted a qualitative study using semi-structured interviews and a focus group, in the setting of the Program for Mentally Vulnerable Persons (PMV). Data were analysed following thematic analysis. Results We found three aspect that were considered important in collaboration: commonality, relationships, and psychological ownership. However, our findings indicate a discrepancy between what is considered essential in collaboration and how this materializes in day-to-day practice: collaboration appears to be less manageable than anticipated by interviewees. Our data suggest psychological ownership should be added as value to the interorganizational collaboration theory. Conclusion Our study offers a new definition of collaboration and adding “psychological ownership” to the existing literature on collaboration theory. Furthermore, we gained insight into how collaboration between different organizations works in practice. Our research points to a discrepancy between what all the partners find important in collaboration, and what they actually do in practice. Finally, we expressed ways to improve the collaboration, such as choosing between a chain or a network approach and acting on it and re-highlighting the goal of the Program Mentally Vulnerable persons.

The worldwide burden of mental disorders is considerable, and on the rise, putting pressure on health care systems. Current reforms aim to improve the efficiency of mental health care systems by increasing service integration in communities and strengthening primary mental health care. In this context, mental health care professionals (MHPs) are increasingly required to work on interdisciplinary teams in a variety of settings. Little is known, however, about the profiles of MHPs in relation to their perceived work role performance. MHPs in Quebec ( N  = 315) from four local service networks completed a self-administered questionnaire eliciting information on individual and team characteristics, as well as team processes and states. Profiles of MHPs were created using a two-step cluster analysis. Five profiles were generated. MHPs belonging to profiles labelled senior medical outpatient specialized care MHPs and senior psychosocial outpatient specialized care MHPs perceived themselves as more performing than MHPs in other profiles. The profile labelled low-collaborators was significantly less performing than all other groups. Two other profiles were identified, positioned between the aforementioned groups in terms of the perceived performance of MHPs: the junior primary care MHPs and the diversified specialized care MHPs . Seniority within the team, delivering specialized type of care, and positive team processes were all features associated with profiles where perceived work performance was high. Overall, this study supports the case for initiatives aimed at improving stability and interdisciplinary collaboration in health teams, especially in primary care.

NRC publication: Yes

Background Health experts including planners and policy-makers face complex decisions in diverse and constantly changing healthcare systems. Visual analytics may play a critical role in supporting analysis of complex healthcare data and decision-making. The purpose of this study was to examine the real-world experience that experts in mental healthcare planning have with visual analytics tools, investigate how well current visualisation techniques meet their needs, and suggest priorities for the future development of visual analytics tools of practical benefit to mental healthcare policy and decision-making. Methods Health expert experience was assessed by an online exploratory survey consisting of a mix of multiple choice and open-ended questions. Health experts were sampled from an international pool of policy-makers, health agency directors, and researchers with extensive and direct experience of using visual analytics tools for complex mental healthcare systems planning. We invited them to the survey, and the experts’ responses were analysed using statistical and text mining approaches. Results The forty respondents who took part in the study recognised the complexity of healthcare systems data, but had most experience with and preference for relatively simple and familiar visualisations such as bar charts, scatter plots, and geographical maps. Sixty-five percent rated visual analytics as important to their field for evidence-informed decision-making processes. Fifty-five percent indicated that more advanced visual analytics tools were needed for their data analysis, and 67.5% stated their willingness to learn new tools. This was reflected in text mining and qualitative synthesis of open-ended responses. Conclusions This exploratory research provides readers with the first self-report insight into expert experience with visual analytics in mental healthcare systems research and policy. In spite of the awareness of their importance for complex healthcare planning, the majority of experts use simple, readily available visualisation tools. We conclude that co-creation and co-development strategies will be required to support advanced visual analytics tools and skills, which will become essential in the future of healthcare. Graphical abstract

Background Despite the increasing recognition globally of the importance of mental health for sustainable development, significant barriers remain to developing mental health services in low- and middle-income countries. This study explored the particular barriers and opportunities for developing mental health services in Cambodia and how these compared with those described in other low- and middle-income countries. Methods For this qualitative study, 18 experienced mental health professionals from different disciplines were selected using purposive sampling. Semi-structured interviews were carried out in Phnom Penh and thematic analysis of the data was completed. Results Five key themes were identified: (1) Prioritising mental health in Cambodia, (2) Strengthening collaborations between mental health stakeholders, (3) Developing a mental healthcare model appropriate for the Cambodian culture and context, (4) Increasing the quantity and (5) Improving the quality of mental healthcare. All five themes were referred to by all 18 participants and the two most repeated themes were (2) Strengthening collaborations and (5) Improving the quality of mental healthcare. Conclusions The themes identified in this study both corroborate previous barriers identified to developing mental health services in low- and middle-income countries and shed new light on opportunities of particular importance in Cambodia. Strengthening collaborations between key stakeholders in mental health and prioritising the quality of mental health education, training and service provision were both cited as being significant opportunities for enhancing the development of mental health services in Cambodia. These have not been widely described before as being important factors.