Preventive Mental Health Care Research Articles

An estimate of burnout prevalence among oncology nurses

BackgroundRegistered nurses (RNs) in oncology must cope with the suffering of patients, the inevitability of death and their own transience. This poses a possible risk for the development of burnout, which can result in low job satisfaction and ultimately an increased intention to leave the job. Our aim was to assess psychological distress in registered nurses working in oncology.Objective and methodA cross-sectional survey with the Oldenburger Burnout Inventory was presented to nurses within the German Cancer Society. It collected data on psychological distress via two subscales, exhaustion and disengagement. Socio-demographic data were assessed.ResultsAmong 83 participating nurses, we found a prevalence of high disengagement in 17 oncology nurses (20.48%) and high exhaustion (MExh>2.5 = burnout) in 44 (53.00%). Looking at the highest values of both scales, 18.08% of respondents were at high risk for psychological distress. There was a low correlation between disengagement and age (r = 0.331, p < 0.01). The risk of high disengagement among nurses older than 50 (n = 9, 52.94%) was three times higher than for those who were 50 or younger (n = 8, 47.06%) (RR = 8.642, 95% CI: 1.475–5.749, p < 0,01).ConclusionThis survey highlights a high rate of burnout among German oncology nurses. Interventions should be developed, implemented, and delivered in an age-appropriate manner. To ensure high-quality care and patient safety, oncology nurses should be offered preventive mental healthcare services later in their careers.Clinical trial registration numberThe study was registered with the German Clinical Trials Register (DRKS500018851).

Exploring the Role of Artificial Intelligence in Mental Healthcare: Current Trends and Future Directions - A Narrative Review for a Comprehensive Insight.

Mental health is an essential component of the health and well-being of a person and community, and it is critical for the individual, society, and socio-economic development of any country. Mental healthcare is currently in the health sector transformation era, with emerging technologies such as artificial intelligence (AI) reshaping the screening, diagnosis, and treatment modalities of psychiatric illnesses. The present narrative review is aimed at discussing the current landscape and the role of AI in mental healthcare, including screening, diagnosis, and treatment. Furthermore, this review attempted to highlight the key challenges, limitations, and prospects of AI in providing mental healthcare based on existing works of literature. The literature search for this narrative review was obtained from PubMed, Saudi Digital Library (SDL), Google Scholar, Web of Science, and IEEE Xplore, and we included only English-language articles published in the last five years. Keywords used in combination with Boolean operators ("AND" and "OR") were the following: "Artificial intelligence", "Machine learning", Deep learning", "Early diagnosis", "Treatment", "interventions", "ethical consideration", and "mental Healthcare". Our literature review revealed that, equipped with predictive analytics capabilities, AI can improve treatment planning by predicting an individual's response to various interventions. Predictive analytics, which uses historical data to formulate preventative interventions, aligns with the move toward individualized and preventive mental healthcare. In the screening and diagnostic domains, a subset of AI, such as machine learning and deep learning, has been proven to analyze various mental health data sets and predict the patterns associated with various mental health problems. However, limited studies have evaluated the collaboration between healthcare professionals and AI in delivering mental healthcare, as these sensitive problems require empathy, human connections, and holistic, personalized, and multidisciplinary approaches. Ethical issues, cybersecurity, a lack of data analytics diversity, cultural sensitivity, and language barriers remain concerns for implementing this futuristic approach in mental healthcare. Considering these sensitive problems require empathy, human connections, and holistic, personalized, and multidisciplinary approaches, it is imperative to explore these aspects. Therefore, future comparative trials with larger sample sizes and data sets are warranted to evaluate different AI models used in mental healthcare across regions to fill the existing knowledge gaps.

Implementing a Digital Child Behavioral Health Prevention Program in Faith-Based Settings in Uganda: A Feasibility Study

Background: The burden of pediatric mental disorders in low-and middle-income countries (LMICs) is tremendous, but solutions for addressing the burden remain limited. Although digital solutions have potential to improve prevention services, such solutions have not been systematically tested in these countries. Objective: This study explores the use of a digital parenting intervention tool designed for pediatric behavioral health, known as the Pediatric-Behavioral Health Digital Tool, in a preventive service model for low resource communities. We study the feasibility of implementing this new digital health service model and preliminary estimate the potential impacts on parenting and child social emotional outcomes when the program is implemented in faith-based organizations in Uganda. The Pediatric-Behavioral Health Digital Tool is a preventive intervention designed to be implemented by trained community-health-workers to facilitate caregivers’ access to the preventive mental health service in community for their young children. The tool is based on the screening, brief intervention, and referral to treatment prevention service model for promoting pediatric behavioral and mental health. Methods: The evaluation study was designed using a pre-post assessment design. The content in Pediatric-Behavioral Health Digital Tool was co-designed with local expert and iteratively adapted based on parents and caregivers as well as community-health-workers and experts who were invited to provide their feedback and suggestions for improvements in content, functions, and delivery model through a series of focus groups and workshops. This pilot evaluation focuses on the pre-post changes of the intervention families (91 families) and 10 community-health-workers. Results: We found high acceptability, appropriateness, and usefulness of the program based on the intervention families’ community-health-workers’ report. Intervention parents felt safe in using the digital toolkit. Parents felt comfortable for the CHWs asked them personal questions. In estimating the impacts, we found some expected findings on parenting and child social emotional health. Specifically, we found intervention parents become more mindful in their parenting (d=1.61, p=.049), and felt more effective in discipline their child’s misbehavior (d=1.29, p=.003) after they receive the intervention. For children, we found improvement on children’s social emotional outcomes, measured by decreased parent-child conflict (d=-1.08, p=.002) and increased child emotional regulation skills (d=1.0, p=.049) after their parents receive the intervention. Conclusions: Our Pediatric-Behavioral Health Digital Tool has potential to provide a cost-effective service solution to provide preventive mental health care in communities to promote child social-emotional and mental wellbeing in low-resource settings.

Late life anxiety and depression symptoms, and suicidal behaviors in racial/ethnic minority older adults in community-based organizations and community clinics in the U.S.

Late life anxiety and depression represent a significant source of disability, with racial/ethnic minority older adults in the U.S. showing marked disparities in healthy aging. Community-based organizations (CBOs) and community clinics serve these populations for preventive care, yet few identify their mental health service needs. We examine the association between race/ethnicity and risk of mild-to-severe symptoms of anxiety and depression, and suicidal behaviors in minority older adults. Data come from the multisite randomized controlled trial Building Community Capacity for Disability Prevention for Minority Elders, which screened 1,057 adults (45.5% Asian, 26.8% Latinx, 15.0% non-Latinx Black, 8.5% non-Latinx White, and 4.2% American Indian) aged 60 + years at CBOs and clinics in Massachusetts, New York, Florida, and Puerto Rico. Screened participants completed the Generalized Anxiety Disorder-7 (GAD-7) for anxiety symptoms, the Geriatric Depression Scale-15 (GDS-15) for depression symptoms, and the Paykel Suicide Risk Questionnaire for suicidal behaviors. 28.1% of older adults reported mild-to-severe anxiety symptoms, 30.1% reported mild-to-severe depression symptoms, and 4.3% reported at least one suicidal behavior. Compared to non-Latinx Whites, Latinxs had higher odds of mild-to-severe anxiety and depression symptoms and one or more suicidal behaviors, and Asians had higher odds of mild-to-severe depression symptoms only. There is an urgent need to improve outreach for screening and preventive mental health care for minority older adults. Expanding outreach and community-based capacity to identify and treat minority older adults with mental health conditions represents an opportunity to prevent disability. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Trends in Pediatric Emergency and Inpatient Healthcare Use for Mental and Behavioral Health Among North Carolinians During the Early COVID-19 Pandemic.

Widespread school closures and health care avoidance during the COVID-19 pandemic led to disruptions in access to pediatric mental health care. We conducted a retrospective study of emergency and inpatient administrative claims from privately insured children aged 6-20 years in North Carolina between January 2019 and December 2020. We compared rates of emergency department (ED) visits (per 100 000 person-days) and risks of hospitalizations (per 100 000 persons) with diagnosis codes in each category (mental/behavioral health; suicidal ideation, suicide attempt, and intentional self-harm [SI/SA/ISH]; and social issues) across 3 time periods (pre-pandemic, lockdown, and reopening). We calculated the proportion and 95% confidence intervals (CI) of total ED visits and total hospitalizations attributable to mental/behavioral health and SI/SA/ISH across the 3 time periods. Rates of all categories of ED visits decreased from pre-pandemic to the lockdown period; from pre-pandemic to the reopening period, mental/behavioral health visits decreased but rates of SI/SA/ISH visits were unchanged. The proportion of ED visits attributable to mental/behavioral health increased from 3.5% (95% CI 3.2%-3.7%) pre-pandemic to 4.0% (95% CI 3.7%-4.3%) during reopening, and the proportion of SI/SA/ISH diagnoses increased from 1.6% (95% CI 1.4%-1.8%) pre-pandemic to 2.4% (95% CI 2.1%-2.7%) during the reopening period. Emergency care use for social issues and hospital admissions for mental/behavioral health and SI/SA/ISH diagnoses were unchanged across the study periods. In the early pandemic, pediatric mental health care and acute suicidal crises accounted for increased proportions of emergency care. During pandemic recovery, understanding the populations most impacted and increasing access to preventative mental health care is critical.

Preventive mental health care: A complex systems framework for ambient smart environments

We offer a framework for the design and use of Ambient Smart Environments (ASEs) for preventive mental health care support. Drawing from Complex Systems Theory (CST) and ‘E’ Cognitive Science (ECS), we claim that ASEs have the potential to act in a preventive capacity in support of good mental health, i.e. supporting dynamics that avoid so-called “struck states” (which are, according to CST, thought generally to underpin forms of psychopathology). Here, we frame our discussion with what has recently been termed the “mind-technology problem”. We define and characterise ASE systems, present some examples, and briefly survey some existing theoretical work. After introducing the essential CST terminology, the paper goes on to apply CST to explain developmental adaptation to continuously changing (smart) environments. Understanding the ASE’s navigation in terms of a dynamic geometry between attracting and repelling points (or local minima/local maxima), allows us to develop neurotechnology that can augment clinical interventions by predicting upcoming shifts for good symptomatic outcomes, i.e. when a preventive intervention (i.e. destabilisation) should take place. We further offer clear directions for the development and design of such neurotechnology.

The Effect of a Combined Mindfulness and Yoga Intervention on Soldier Mental Health in Basic Combat Training: A Cluster Randomized Controlled Trial

Background. Depression, anxiety, and sleep problems are prevalent in high-stress occupations including military service. While effective therapies are available, scalable preventive mental health care interventions are needed. This study examined the impact of a combined mindfulness and yoga intervention on the mental health of soldiers in Basic Combat Training (BCT). Methods. U.S. Army soldiers ( N = 1,896 ) were randomized by platoon to an intervention or training-as-usual condition. Soldiers in the intervention condition completed Mindfulness-Based Attention Training (MBAT), engaged in daily 15 min mindfulness practice, and participated in 30 minutes of hatha yoga 6 days per week. Surveys were administered at baseline (T1, prior to training), week 4 of BCT (T2), week 6 (T3), and week 9 (T4). Results. A significant time-by-condition interaction predicting positive screens for depression found that screens decreased at a faster rate from T1 to T4 in the intervention condition (-12.6%) compared to training-as-usual (-7.2%) ( b = − 0.18 , SE = 0.07 , p = 0.028 ). While positive anxiety screens decreased over time across conditions, the time-by-condition interaction found no significant differences in the rate of these decreases by condition ( b = 0.09 , SE = 0.09 , p = 0.273 ). A significant time-by-condition interaction predicting positive screens for sleep problems found that sleep problems decreased in the intervention condition (-1.4%) but increased in training-as-usual (2.0%) ( b = − 0.68 , SE = 0.16 , p = 0.027 ). Conclusion. The mindfulness and yoga intervention was associated with a greater reduction in positive screens for depression and sleep problems among soldiers during high-stress training. Limitations include reliance on self-report and the inability to disaggregate the effects of mindfulness versus yoga. Mindfulness and yoga may enable personnel in high-stress occupations to sustain their mental health even in the context of significant psychological demands. This trial is registered with NCT05550610.

N.C. officials tout ‘once in a lifetime’ investment in MH services

Between federal COVID relief funds and the $1.4 billion sign‐on bonus North Carolina received for expanding Medicaid, state lawmakers were able to make significant investments in mental health services in the latest state budget, the Carolina Public Press reported on Oct. 8. Though state budget negotiations are done almost entirely behind the closed doors of the majority party in the state general assembly — currently the Republicans — health leaders in the House and Senate said they took care to listen to patients, families and providers while creating their mental health spending plan while also working closely with the North Carolina Department of Health and Human Services Secretary Kody Kinsley. “Everybody saw that to make big changes was gonna take a lot of money,” Sen. Jim Burgin (R‐Angier) said in an interview with NC Health News last week. “And I think one of the attractions to Medicaid expansion for all of us was this once‐in‐a‐generation, or maybe even once‐in‐a‐lifetime opportunity to say, ‘Mental health is a big deal,’” he said, explaining the significance of the federal sign‐on bonus that came with Medicaid expansion, which lawmakers decided to use to invest in mental health services. The result is pages of mental health policy and spending in this year's budget document, where lawmakers committed to significant rate increases, bonuses and education for a variety of mental health workers. They set into motion big structural changes to the way behavioral health services are delivered to the most vulnerable populations across the state. And they directed hundreds of millions of dollars to support children in foster care and expand preventive mental health care and crisis care services.

Prevalence and risk factors of posttraumatic stress disorder in COVID-19

Posttraumatic stress disorder (PTSD) has a prevalence of 2%–5% in the general population. COVID-19 is regarded as a traumatic agent that can increase the prevalence of this disorder to up to 30%. A documentary review was thus conducted, which included 13 studies on the presence of PTSD in patients who have survived COVID-19 infection and the possible associated factors. Female and young age, as well as other aspects associated with economic losses or living alone, could influence the appearance of this psychological sequela. A preventive mental healthcare program could be implemented during infection in such patients with COVID-19 who show the characteristics described in most studies.

The Effects of Nutrition and Exercise on the Mental Wellness of Preschool Children

When it comes to mental health, young children are often not researched and their tantrums or mood swings are not taken seriously, when in reality these small behavioral issues could be pointing to a larger issue. Children are the most overlooked when it comes to mental health diagnosis and treatment, unless the child begins to display extreme behavior (Philpott et al., 2019). However, preventative mental health care is arguably more pragmatic and less taboo than diagnosis and treatment. While there is research to support the use of exercise and nutrition in mental wellness, there is still not enough done within the children demographic to implement this in a strategic and routine way (Philpott, 2019). Some research has shown that teaching kids healthy habits, such as exercise and nutrition, can be effective as a preventative or treatment measure (Philpott et al., 2019). However, to our knowledge, no research has looked at multiple variables systematically (i.e., nutrition vs. exercise vs. nutrition + exercise) (Goddu, 2015).

The General View of Psychotherapy / The Meta Model and Predictive / Preventative Mental Health Care Have Seven Groups of Reasons That Affect the Four Cornerstones of Well-Being

A common goal among the many schools of psychotherapy these days is to find elements of psychotherapy that apply to many of them. The basis for which a general view like this can be found consists at least of the language and terms used, discovery of new activities, the structure of therapy and the work environment. Since the realization of psychotherapy also attempts to prevent a patient's situation from worsening, the following question comes up: does the search for a psychotherapy metamodel feature elements that are similar to predictive mental health care? Mental health care in Finland employs a categorization of seven reasons and four cornerstones of well-being to prevent mental malaise, mental disorders, and negative exceptional behavior. This study collected a file of psychotherapeutic research results and compared it against a file regarding predictive mental health care, which affirmed the thesis “the general view of psychotherapy and preventative mental health care have a functional common categorization that consists of seven groups of reasons and four cornerstones”.

Feasibility and acceptability of a CF-specific cognitive-behavioral preventive intervention for adults integrated into team-based care.

A cystic fibrosis (CF)-specific cognitive-behavioral therapy intervention (CF-CBT) was developed in partnership with the CF community to advance preventive mental health care. Multidisciplinary providers across three centers were trained to deliver CF-CBT for this pilot assessing feasibility/acceptability and preliminary effectiveness of an integrated model of care. The 8-session CF-CBT was delivered to 14 adults with mild depression and/or anxiety symptoms in-person and via audio telehealth. Assessment of attrition, engagement, homework completion, treatment satisfaction, and treatment fidelity informed feasibility/acceptability assessment. Mental health outcomes included depression, anxiety, quality of life (Cystic Fibrosis Questionnaire-Revised [CFQ-R), perceived stress and coping. Preliminary effectiveness was evaluated with Cohen's d metric of effect sizes (ES) of pre-post mean change scores. A total of 108 sessions were conducted; 13 adults completed the intervention; 1 discontinued early. Engagement, homework completion, and treatment acceptability were highly rated (mean = 30; SD = 2, range: 27-32 on a 32-point scale). Fidelity scores ranged from 85.7% to 93.6%. Large ES changes reflected improvements in depressive symptoms (-0.83), CFQ-R (Vitality scale: 1.11), and Relaxation Skills (0.93); moderate ES for CFQ-R Role Functioning (0.63), Awareness of Tension (0.62), Coping Confidence (0.70) and CF-specific Coping (0.55); and small ES for anxiety symptoms (-0.22), perceived stress (-0.25), Behavioral Activation (0.29), and several CFQ-R domains, including Emotional Functioning (0.29). Two CFQ-R subscales decreased (Body Image, Eating Concerns). Results indicated feasibility and acceptability of CF-CBT and its integration into team-based CF care with promising effectiveness, especially for depression. A multicenter randomized controlled trial of CF-CBT will further examine effectiveness of a CF-specific integrated care model.

Derivation and Validation of the Management and Supervision Tool (MaST) Risk of Crisis (RoC) Algorithm Using Electronic Health Record (EHR) Data

AimsThe Management and Supervision Tool (MaST) helps NHS mental health care professionals identify patients who are most likely to need psychiatric hospital admission or home treatment, due to severe mental illness, through a Risk of Crisis (RoC) algorithm driven by electronic health record (EHR) data analytics. We describe the derivation and validation of the MaST RoC algorithm, and its implementation to support preventative mental healthcare in the NHS.MethodsThe RoC algorithm was developed and evaluated with EHR data from six UK NHS trusts using Ordered Predictor List propensity scores informed by a priori weightings from pre-existing literature, as well as real-world evidence evaluating the associations of clinical risk factors with mental health crisis using NHS EHR data. Mental health crisis was defined as admission to a psychiatric hospital or acceptance to a community crisis service within a 28-day period. Predictor variables included age, gender, accommodation status, employment status, Mental Health Act (MHA) status (under section or Community Treatment Order), and previous mental health service contacts (including hospital admissions and crisis services). Data were analysed using Ordered Predictor List propensity scores. The algorithm was derived using structured EHR data from 2,620 patients in a single NHS trust and externally validated using data from 107,879 patients in five other NHS trusts. Qualitative and quantitative data on feasibility, acceptability and system efficiency impacts of MaST implementation were obtained through staff surveys and local audits.ResultsThe factors associated with greatest propensity for mental health crisis included recent previous crisis, multiple previous crises, higher number of mental health service contacts in recent weeks, MHA section, accommodation status and employment status. The RoC algorithm identified 64% and 80% crises in its top quintile. Sentiment analysis of staff surveys suggested that the use of MaST improved productivity by reducing time taken to access patient information to support caseload management that was previously difficult to obtain through manual review of EHRs. The systems efficiency audit revealed a reduction in duration of crisis and inpatient admissions following MaST implementation.ConclusionThe MaST RoC algorithm supports the identification of people more likely to use crisis services in NHS mental health trusts, is feasible to implement, and improves systems efficiency. EHR-derived algorithms can support real-world clinical practice to improve outcomes in people receiving NHS mental healthcare.

Transdiagnostic Clinical Staging for Childhood Mental Health: An Adjunctive Tool for Classifying Internalizing and Externalizing Syndromes that Emerge in Children Aged 5–11 Years

Clinical staging is now recognized as a key tool for facilitating innovation in personalized and preventative mental health care. It places a strong emphasis on the salience of indicated prevention, early intervention, and secondary prevention of major mental disorders. By contrast to established models for major mood and psychotic syndromes that emerge after puberty, developments in clinical staging for childhood-onset disorders lags significantly behind. In this article, criteria for a transdiagnostic staging model for those internalizing and externalizing disorders that emerge in childhood is presented. This sits alongside three putative pathophysiological profiles (developmental, circadian, and anxious-arousal) that may underpin these common illness trajectories. Given available evidence, we argue that it is now timely to develop a transdiagnostic staging model for childhood-onset syndromes. It is further argued that a transdiagnostic staging model has the potential to capture more precisely the dimensional, fluctuating developmental patterns of illness progression of childhood psychopathology. Given potential improvements in modelling etiological processes, and delivering more personalized interventions, transdiagnostic clinical staging for childhood holds much promise for assisting to improve outcomes. We finish by presenting an agenda for research in developments of transdiagnostic clinical staging for childhood mental health.

Generalized anxiety disorder symptoms during COVID-19 pandemic in Jazan, Saudi Arabia

The aim of this study was to measure anxiety levels and many co-factors that might influence the levels of anxiety during the COVID-19 outbreak in southern Saudi Arabia (KSA). A cross-sectional self-reporting survey was conducted to determine the level of generalized anxiety disorder (GAD) symptoms related to COVID-19 and quarantining. We selected a convenience sample of eligible participants who had been invited online through social media apps. The survey instrument was distributed, and 981 participants responded. Of the total sample, almost 90% were under the age of 40, 75% were women, and 77% had an educational level beyond high school. Just over half were single, with nearly all participants Saudi nationals. The overall prevalence of anxiety related to COVID-19 was 27%. Factors most strongly related to reporting anxiety included having a diagnosis of COVID-19, spending 1- ≥ 3 h focused on COVID-19, having a previous mental illness history, being a current or former smoker, being female, having a previous diagnosis of chronic or respiratory illness, being below age 40, having a limited standard of living, and being a student. Our study reveals how critical it is to emphasize preventive mental health care during pandemics and what factors may make some individuals most vulnerable to anxiety. Further research is recommended to examine GAD levels pre, during and post pandemic. Additional research to explore the long-term impact of the pandemic on mental health is also needed. being a student, and a limited standard of living.

Mental health prevention in children and adolescents in the European Union and measures taken in Poland – good practices and limitations

Mental health of children and adolescents is one of important issues managed as part of preventive interventions not only in Poland, but throughout the European Union. Many studies have shown continuous deterioration of mental health among children and adolescents. Alarming data have been published by the World Health Organization, which show that up to 20% of children suffer from various types of mental problems, hence the need for interventions that will put an end to this process. The most important target set by the European Union countries is to introduce large-scale multilevel preventive measures aimed at the total population, referred to as universal prevention. In addition to universal prevention, European Union countries, including Poland, implement targeted interventions for those at risk and those already diagnosed, as part of preventive mental health care. These measures are part of the WHO Comprehensive Mental Health Action Plan 2013–2030, which encompasses the following objectives: promote mental well-being, enhance recovery, and reduce the mortality, morbidity and disability for persons with mental disorders. This plan was intended to focus on improving mental health care and implementing comprehensive actions at the local level in all European Union countries, which often requires legislative changes in member states. Mental health is becoming the focal point of national and local interventions in Poland. Fast and free access to specialists close to one’s place of residence becomes crucial.

An Emerging Preventive Mental Health Care Strategy: The Neurobiological and Functional Basis of Positive Psychological Traits.

Even with the expanding burden of the COVID-19 pandemic on mental health, our approach to mental health care remains largely reactive rather than preventive. This trend is problematic because the majority of outpatient visits to primary care providers across the country is related to unmet mental health needs. Positive psychology has the potential to address these issues within mental health care and provide primary care providers with strategies to serve their patients more effectively. Positive psychology has many frameworks like hope, which can be measured using simple questionnaires in the waiting room. Moreover, there is a growing body of neurobiological evidence that lends credence to positive psychology concepts in the context of differential neuronal activation patterns. Many positive psychological instruments not only have high construct validity but also have connections to observable neurobiological differences tied to differences in psychosocial functioning. Despite the current evidence, we still need robust research that explores if such psychometric measurements and related interventions lead to clinically significant and favorable health outcomes in patients outside of controlled environments.

Mental health service users’ lived experiences of recovery-oriented services: a scoping review

Purpose Over the past 15 years, mental health organisations have taken steps to move towards providing services that are more recovery-oriented. This review was undertaken to explore what is known about service users’ experience of services that have introduced a recovery-oriented approach to service provision. There is limited research evaluating consumers’ lived experiences of recovery-orientated care; a scoping review was chosen to provide an overview of the available research in this area (Munn et al., 2018). The purpose of this review was to summarize and synthesize current qualitative research exploring consumers’ experience of recovery orientated mental health care provision. Design/methodology/approach This scoping review was undertaken as outlined by Arksey and O'Malley (2005). The five steps consisted identifying the research question; searching for relevant studies; selecting the studies; charting the studies; and collating, summarising and reporting the findings. Findings Three key themes emerged from this review: translation of recovery policy to practice; ward environment; and recovery principles with five subthemes: engagement; not being listened to; shared decision-making; informational needs; and supportive and collaborative relationships. The themes and subthemes identified in each of the 18 studies are presented in Table 3. Research limitations/implications This review highlights the different degree to which service users have received recovery-oriented recovery care. In the majority of cases, most service users reported few opportunities for nursing engagement, poor communication, inadequate information provision, a lack of collaborative care and mostly negative experiences of the ward environment. Because of the limited studies on mental health service users’ lived experiences of a recovery-oriented service, more clinical studies are needed and in different cultural contexts. Practical implications On hindsight, the authors should have included service users in this review process as consumer inclusion is progressively emphasised in mental health educational and research activities. This review highlights that not all studies have involved service users or consumers in their research activity. Social implications Service users need relevant information in a timely manner to participate in decision-making regarding their treatment and care. This review found that either no information was provided to the service users or it was provided in a limited and fragmented manner. This review also found inpatients reported limited opportunities to have meaningful participation in decision-making about their care. These findings have important social implications, as greater consumer engagement in the design and delivery of mental health services will increase community trust in the care provided. This in turn has the potential to facilitate greater community engagement in preventative mental health care. Originality/value This is the first review to systematically synthesis consumers perspectives on the extent to which service providers are achieving the goal of implementing recovery-orientated practice into their service provision. Despite important policy changes, the findings of this review demonstrate that more work is needed to truly operationalise and translate these principles into practice.

Ho Chi Minh City, Vietnam: A Case Study in Mental Health Marketing

Following the phenomenological case study method, this paper highlights the mental health marketing scenario in Ho Chi Minh City, Vietnam. While the developed world is finding modern methods to connect with and serve MH patients, Vietnam and most other developing economies are still struggling to shift views from mental illness to mental wellness. Despite this, particularly among a small group of forward thinking providers, there is a trend taking shape towards more proactive and digitally-savvy identification, acquisition, and retention of mental health patients. In addition to de-stigmatizing mental health issues, this has the effects of providing patients access, confidence, and meaningful engagement. Marketing orientiation also resulted in increased attention to preventive mental healthcare.

The English planning system, the built environment and preventative mental healthcare: Identifying gaps in alignment and promoting integration

Within the English planning system, there is increasing recognition that the quality of city-spaces and the built environment can have a direct and indirect impact upon the mental health of those who dwell within. It follows that urban planning, regeneration and renewal, and the well-designed places they strive to create, have a central role to play in preventative and rehabilitative mental healthcare. Nevertheless, the integration into planning policy and practice of mental health considerations remains in its infancy. An opportunity, if not an imperative, exists to accelerate and scale the dialogue. In support of this endeavour, this paper identifies the principal ongoing gaps in alignment between the English planning policy, place-making and mental health promotion and care, and signposts priority actions for improved integration.