Role In Mental Health Care Research Articles

Current and Future Implementation of Digitally Delivered Psychotherapies: An Exploratory Mixed-Methods Investigation of Client, Clinician, and Community Partner Perspectives.

Following the initial outbreak of the COVID-19 pandemic, mental health clinicians rapidly shifted service delivery from in-person to digital. This pivot was instrumental in maintaining continuity of care and meeting increased mental health service demands. Many mental health services have continued to be offered via digital delivery. The long-term implications of delivering services via digital media remain unclear and need to be addressed. This study aimed to identify current micro (i.e., clinician-patient interactions), meso (i.e., clinician-clinic manager interactions), and macro (i.e., government-policy maker interactions) level issues surrounding the use of digital mental health interventions (DMHI). Such integrated assessments are important for optimizing services to improve treatment outcomes and client satisfaction. Participants were recruited between January 2022 and April 2023. Quantitative data were collected using a survey informed by the Hexagon Tool. Qualitative data were collected from online semi-structured interviews and focus groups and analyzed using rapid thematic analysis. Survey data were collected from 11 client and 11 clinician participants. Twenty-six community partner participants were interviewed for this study. Client and clinician participants expressed satisfaction with the implementation of DMHI. Community partner participants generally agreed, reporting that such services will play an integral role in mental healthcare moving forward. Community partners shared that certain issues, such as uncertainty surrounding policies and regulations related to digital delivery, must be addressed in the future. Participants in this study supported the use of DMHI despite difficulties implementing these programs, asserting that such services are not a temporary fix but a pivotal cornerstone in the future of mental healthcare service delivery.

Refugee Caregiver Perceptions of Using Mindfulness-Based Interventions to Support Coping Skills in Their Children: A Survey in Jordan

Abstract Date Presented 03/23/24 We evaluated the perceptions of refugee caregivers on mindfulness-based interventions (MBIs), to inform OT’s role in mental health care for this population, as well as to expand on OT’s role in providing community-based services. Primary Author and Speaker: Zeina Fayad Contributing Authors: Alexandria Powers, Miranda Michele Mlincek, Diane L. Smith, Fatima Chehouri, Rawan Alheresh

Predictive Modeling of Future Trends in US Healthcare Data and Outcomes

Predictive modeling has great potential to help guide healthcare policymaking and planning through forecasting future trends in domains such as disease prevalence, resource utilization, and costs. However, past research in this area has been limited by mostly examining small, narrow datasets that only captured specific illnesses or geographic regions. This study aimed to leverage more sophisticated predictive analytics to generate informed estimations of the most consequential healthcare trends anticipated in the United States throughout the next decade. The analysis drew upon an extensive collection of over 50 million longitudinal electronic health records spanning a 5-year timeframe, comprehensive national public health statistics from the same period, and Medicare claims encompassing 72 million beneficiaries. Advanced machine learning techniques, including neural networks and Bayesian additive regression trees, were applied to identify nonlinear relationships and temporal patterns across 500 variables related to patient demographics, medical diagnoses, therapeutic procedures, reimbursement amounts, and clinical outcomes. Models were trained using data from 2010 to 2015 then utilized to project trends and forecasts for the years 2020 to 2025. Five-fold cross-validation testing was conducted to evaluate the accuracy and generalizability of the predictive models. The model projections indicate that chronic disease prevalence nationwide will rise by approximately 40% by the conclusion of 2025, primarily fueled by growing epidemics of obesity and an increasingly aging American population. Additionally, heart disease and stroke are estimated to maintain their positioning as leading causes of death, but cases of dementia and Alzheimer's disease specifically are projected to climb even more sharply at over a 50% increase. Healthcare costs on the whole are anticipated to rise on average between 4-6% annually, and costs may potentially double for elderly patients presenting with multiple morbidities. As outpatient and home-based care options expand further, inpatient hospital facility utilization may drop marginally between 10-15%. Improved management of chronic medical conditions within local community settings could reduce preventable hospital readmissions from 25-30%. Primary care, nursing, and mental healthcare roles are likely to face looming staffing shortages as well. Telehealth adoption is forecasted to surge by approximately 45% as virtual visit formats help address access obstacles. By 2025, biologics and gene therapies could account for over 25% of total drug spending pertaining to oncology and rare disease treatment. Larger Medicaid, Medicare, and ACA commercial coverage markets may motivate higher rates of health insurance enrollment over the next few years.

Development and validation of measures of pharmacists’ acceptability and willingness to screen for perinatal depression

BackgroundWhile pharmacists' roles in mental healthcare are expanding, research exploring pharmacists' acceptability and willingness to provide mental health services is limited. This study developed and validated theory-driven measures of pharmacists’ acceptability and willingness to screen for perinatal depression in community pharmacy settings. Materials/MethodsItems were developed using published literature and the Theoretical Framework of Acceptability (TFA), then content validated using consensus methods with experts who completed the content validity index (CVI). The revised items were disseminated to pharmacists in Australia. Responses were analysed descriptively. Exploratory factor analyses (EFA) were used to explore the factorial structure and generate scales. Multivariate regression analysis was conducted to explore predictors of willingness. ResultsA 58-item questionnaire was developed, encompassing the 7 domains of the TFA and an eighth domain (willingness). The average CVI was 0.92, domain range (0.88–0.96). The universal CVI was 56/58. Expert feedback informed item revision, creation and deletion. Pharmacists' responses (n = 157) to the final 42-item questionnaire indicated overall acceptance and willingness to conduct PND screening. However, perceived knowledge was lacking. The EFA resulted a two-factor solution (1 = acceptance; 2 = self-efficacy). The measurement scales created had good internal consistency. In multivariate regression analysis, ‘Acceptance’ (Beta = 0.949 (0.760–1.103)) and ‘Self-Efficacy’ (Beta = 0.107 (0.036–0.174)) were significant predictors of ‘Willingness’ and the model predicted 77 % of the variation in ‘Willingness’. ConclusionsPsychometrically-sound measures of pharmacists’ acceptability and willingness to screen for PND have been developed with stakeholder input. The questionnaire can be used for standardised measurement of these constructs across studies.

Applications of large language models in psychiatry: a systematic review.

With their unmatched ability to interpret and engage with human language and context, large language models (LLMs) hint at the potential to bridge AI and human cognitive processes. This review explores the current application of LLMs, such as ChatGPT, in the field of psychiatry. We followed PRISMA guidelines and searched through PubMed, Embase, Web of Science, and Scopus, up until March 2024. From 771 retrieved articles, we included 16 that directly examine LLMs' use in psychiatry. LLMs, particularly ChatGPT and GPT-4, showed diverse applications in clinical reasoning, social media, and education within psychiatry. They can assist in diagnosing mental health issues, managing depression, evaluating suicide risk, and supporting education in the field. However, our review also points out their limitations, such as difficulties with complex cases and potential underestimation of suicide risks. Early research in psychiatry reveals LLMs' versatile applications, from diagnostic support to educational roles. Given the rapid pace of advancement, future investigations are poised to explore the extent to which these models might redefine traditional roles in mental health care.

Navigating merits and limits on the current perspectives and ethical challenges in the utilization of artificial intelligence in psychiatry – An exploratory mixed methods study

BackgroundThe integration of Artificial Intelligence (AI) in psychiatry presents opportunities for enhancing patient care but raises significant ethical concerns and challenges in clinical application. Addressing these challenges necessitates an informed and ethically aware psychiatric workforce capable of integrating AI into practice responsibly. MethodsA mixed-methods study was conducted to assess the outcomes of the “CONNECT with AI” - (Collaborative Opportunity to Navigate and Negotiate Ethical Challenges and Trials with Artificial Intelligence) workshop, aimed at exploring AI's ethical implications and applications in psychiatry. This workshop featured presentations, discussions, and scenario analyses focusing on AI's role in mental health care. Pre- and post-workshop questionnaires and focus group discussions evaluated participants' perspectives, and ethical understanding regarding AI in psychiatry. ResultsParticipants exhibited a cautious optimism towards AI, recognizing its potential to augment mental health care while expressing concerns over ethical usage, patient-doctor relationships, and AI's practical application in patient care. The workshop significantly improved participants' ethical understanding, highlighting a substantial knowledge gap and the need for further education in AI among psychiatrists. ConclusionThe study underscores the necessity of continuous education and ethical guideline development for psychiatrists in the era of AI, emphasizing collaborative efforts in AI system design to ensure they meet clinical needs ethically and effectively. Future initiatives should aim to broaden psychiatrists' exposure to AI, fostering a deeper understanding and integration of AI technologies in psychiatric practice.

A qualitative study of the barriers to commissioning social and therapeutic horticulture in mental health care.

Social and Therapeutic Horticulture (STH) is a process where trained practitioners work with plants and people to improve an individual's physical and psychological health, communication and thinking skills. Evidence suggests that STH can support individuals with mental ill-health, however, current commissioning of STH within mental health care is limited. This study aimed to understand the barriers to commissioning STH in mental health care and to identify potential solutions to barriers, to support more widespread availability of services. METHODS: Individuals with a role in mental health care commissioning from across the UK were invited to take part in semi-structured interviews via zoom. Interviews explored factors influencing the mental health services they commission or refer to, their perception of the role of STH in mental health care and the barriers to commissioning STH, together with potential solutions to any barriers identified. Commissioners identified a lack of knowledge of STH and evidence of its effectiveness, and a culture which prioritises traditional medical models, as barriers to commissioning. Challenges for STH providers in responding to large-scale commissioning requirements were also highlighted as a barrier. To upscale commissioning of STH in mental health care, STH interventions need to be embedded within NHS priorities and information on STH services and their effectiveness needs to be easily accessible to practitioners. The sector should also be supported in working collaboratively to enable commissioning of services at scale.

Guidance on how to involve people with lived experience in research on digital mental health interventions

IntroductionDigital technologies and interventions (defined as patient-facing or self-administered interventions delivered through a digital platform) have an increasing role in mental health care. It is key to ensure that appropriate patient and public involvement (PPI) is not overlooked when developing new digital mental health interventions (DMHIs). The unique perspective offered by those with lived experience can improve study conduct and design as well as ensure that interventions meet the needs of users, which may improve their quality and acceptability.ObjectivesTo develop guidance for the involvement of people with lived experience of severe mental illness in designing and conducting research on DMHIs.MethodsFour co-production workshops were arranged online with people who have lived experience of severe mental illness. Initial ideas were formulated in the first workshop and were then prioritised in the second workshop using the nominal group technique. The prioritised ideas were then refined in workshops three and four. Minutes were generated from each workshop and were validated by the those who took part. These minutes were analysed using thematic analysis.ResultsNineteen people with lived experience participated in the co-production workshops overall. Six people took part in one workshop only and 13 took part in multiple workshops. Two main themes were identified in this study: why do people become and remain involved in PPI?; and what areas should be discussed within PPI consultations? Three subthemes associated with the second theme were also identified. These are: areas related to specific types of DMHI; areas related to any type of DMHI; and what can make a difference within DMHIs? To ensure that people become and remain interested in PPI around DMHIs, it is important to provide a non-judgemental space for people with lived experience to discuss any concerns and ensure they feel valued during consultations. Aspects to consider discussing in PPI consultations around the development of DMHIs include the provision of safety and security within DMHIs, issues around digital exclusion and the potential impact of people’s symptoms on DMHI use. Finally, points that were identified as important to consider when developing DMHIs include offering encouragement throughout the DMHI, accommodating for individual and collective needs within DMHIs and developing a structure within the DMHI which includes adding in attainable goals.ConclusionsIf used, the information provided from this study can generate positive and productive PPI consultations where those with lived experience can make significant contributions to the development of DMHIs. Such contributions will increase the acceptability and efficacy of the DMHIs developed.Disclosure of InterestNone Declared

Psychiatry on fire: Climate change and the role of mental healthcare

IntroductionWhat is the psychiatrist’s role on a burning planet? As our world faces the existential ramifications of irreversible climate change, clinicians are contending with what purpose a normalizing institution like psychiatry can have in increasingly abnormal times.Objectives This presentation investigates the role of the modern mental health clinician by examining psychiatry’s current impotence in the face of climate crisis. It will be shown that current approaches are often complicit in psychiatry’s historical depoliticization of mental health and subsequent individualization of social concerns. It will be argued that the only way psychiatry can maintain its ethical obligations to its patients is by taking a courageous sociopolitical stance.MethodsEmerging from a multidisciplinary literature review on the relationship between psychiatry and social crises, this work examines our field’s response to climate change in particular. A focus is made on literature that explores psychiatry’s political obligations, current trends in climate psychiatry, and proposed social psychiatric approaches to the climate crisis.ResultsIt is shown that while ecological collapse tangibly affects our patients, psychiatry often fails to engage socio-politically with the crisis’ root causes. Framing intense reactions to climate change as trauma responses and developing neo-diagnoses such as “ecoanxiety” both risk individualizing inherently social experiences. However, Psychiatrists are also uniquely positioned to speak with authority about social crises and to articulate what a more comprehensive medical response to climate change might look like.ConclusionsGiven climate change’s disproportionate effects on disenfranchised populations, it is increasingly clear that health is inextricable from social circumstances. As a result, political inaction is incompatible with our ethical duty to serve patients’ health, both in the clinic and beyond it.Disclosure of InterestNone Declared

Transgender women’s perspectives on mental health care related to vaginoplasty for gender affirmation

PurposeThis study aimed to describe patient experiences and attitudes about the role of the mental health professional as it relates to pursuing gender affirmation surgery.MethodsThis was a mixed-models study with semi-structured interviews. Participants who presented for gender affirming vaginoplasty and had completed pre-surgical requirements but had not yet had the procedure were invited to participate in the study. Semi-structured phone interviews were conducted from November 2019 and December 2020 until saturation of themes was achieved at a sample size of 14. Interviews were then transcribed verbatim and coded by theme. Qualitative analysis was performed using a grounded theory approach.ResultsAlmost half of the patients did not identify any barriers to obtaining mental health care, but a majority brought up concerns for less advantaged peers, with less access to resources. Some patients also felt that there was benefit to be obtained from the mental health care required before going through with surgery, while others felt the requirements were discriminatory. Finally, a large proportion of our participants reported concerns with the role of mental health care and the requirements set forth by the World Professional Association for Transgender Health (WPATH), and patients gave suggestions for future improvements including decreasing barriers to care while rethinking how guidelines impact patients.ConclusionThere are many competing goals to balance when it comes to the guidelines for gender affirmation surgery, and patients had differing and complex relationships with mental health care and the pre-surgical process.

The school as an arena for mental health work: exploring the perspectives of frontline professionals on mental health work in Norwegian schools.

Children and adolescents are increasingly facing mental health problems. Schools play a crucial role in promoting mental health, as they provide a unique setting where children interact with adults outside their homes. This paper explores mental health work in Norwegian schools from the perspective of frontline professionals namely, class teachers, social workers, and public health nurses. We conducted four focus group interviews involving 22 of these professionals from nine primary and secondary schools. The school professionals view mental health work as an integral part of the school's mission and associate their work with promoting mental wellbeing, strengthening self-esteem, and building resilience among pupils. The professionals noted an expansion in their roles and an increase in expectations to undertake mental health work, even though it is not formally part of their job descriptions. Additionally, they play varied and complementary roles in supporting the pupils' mental health daily. As school professionals, they strive to balance universal health promotion with providing individualized mental health care. These results call for coordinated efforts and interdisciplinary collaboration within the school and discussion regarding the school's role in mental health care for children and adolescents.

Assessing Stigma towards Mental Illness in Relation to Demographics Attitudes and Past Experiences among Pharmacy Students in a Jordanian University Sample.

Stigma towards mental illness poses a significant risk for negative mental health outcomes. Efforts have been undertaken to mitigate self-stigma and stigmatizing behaviors among the public; however, few have considered stigma among healthcare providers, including pharmacists. This study aimed to assess the level of stigma towards mental illness, using the 15-item version of the Opening Minds Scale for Health Care Providers (OMS-HC), and associated factors among pharmacy students and was conducted via a printed questionnaire. A total of 125 students participated and the mean total stigma score was 47.9 with 58.4% of the participants scoring above 45, the midpoint of the possible range of scores. The stigma score was independent of participant demographics, except for grade point average. Higher total stigma scores were observed among subjects who have been prescribed a neuropsychiatric drug before, those who believe that pharmacists should have a role in mental healthcare, those who believe that pharmacists are qualified enough to provide mental health support, and those who are willing to seek help from a pharmacist. The results indicate an overall high stigma score among pharmacy students, which highlights the importance of enhancing pharmacy students' awareness and knowledge regarding mental healthcare through incorporating additional courses and/or training programs in pharmacy education curricula.

Shared decision making and associated factors among patients with psychotic disorders: a cross-sectional study

BackgroundShared decision making is a process where patients and clinicians collaborate to make treatment choices based on the patients’ preferences and best available evidence. The implementation of shared decision making remains limited for patients with psychotic disorders despite being recommended at policy level, being advocated as ethical right and wanted by the patient’s. A barrier to implementation that is often mentioned is reduced decision-making capacity among patients. The challenges of implementing shared decision making highlights a need for more knowledge on shared decision making for these patients. Moreover, the association between patient-related characteristics and shared decision making is unclear, and further research have been suggested. More knowledge of factors associated with involvement in shared decision making can enhance understanding and help to empower patients in the decision-making process. The current study examined the extent of reported shared decision making among patients with a psychotic disorder in mental health care and factors associated with shared decision making.MethodsThis study included 305 participants with a psychotic disorder from 39 clinical inpatient and outpatient sites across Norway. Shared decision making was assessed using the CollaboRATE survey. A linear mixed model was estimated to assess characteristics associated with shared decision making scores.ResultsThe CollaboRATE mean score was 6.3 (ranging from 0 to 9), the top score was 14.1% and increased global satisfaction with services was significantly associated with a higher level of shared decision making (regression coefficient 0.27, 95% confidence interval (0.23; 0.32), p < 0.001).ConclusionsThe low top score shows that few patients felt that they received the highest possible quality of shared decision making, indicating that many patients found room for improvement. This suggests that services for patients with psychotic disorders should be designed to give them a greater role in decision making. Shared decision making might play a key role in mental health care, ensuring that patients with psychotic disorders are satisfied with the services provided.Trial registrationNCT03271242, date of registration: 5 Sept. 2017.

Artificial intelligence in mental healthcare: an overview and future perspectives.

Artificial intelligence is disrupting the field of mental healthcare through applications in computational psychiatry, which leverages quantitative techniques to inform our understanding, detection, and treatment of mental illnesses. This paper provides an overview of artificial intelligence technologies in modern mental healthcare and surveys recent advances made by researchers, focusing on the nascent field of digital psychiatry. We also consider the ethical implications of artificial intelligence playing a greater role in mental healthcare.

Women's perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcare.

This study aimed to evaluate women's attitudes towards artificial intelligence (AI)-based technologies used in mental health care. We conducted a cross-sectional, online survey of U.S. adults reporting female sex at birth focused on bioethical considerations for AI-based technologies in mental healthcare, stratifying by previous pregnancy. Survey respondents (n = 258) were open to AI-based technologies in mental healthcare but concerned about medical harm and inappropriate data sharing. They held clinicians, developers, healthcare systems, and the government responsible for harm. Most reported it was "very important" for them to understand AI output. More previously pregnant respondents reported being told AI played a small role in mental healthcare was "very important" versus those not previously pregnant (P = .03). We conclude that protections against harm, transparency around data use, preservation of the patient-clinician relationship, and patient comprehension of AI predictions may facilitate trust in AI-based technologies for mental healthcare among women.

Supporting Coaches' Mental Health: A Critical Review of Psychological Interventions for Depression

The current study investigates the critical and often overlooked issue of mental health among sports coaches, with a specific focus on depression and its psychological interventions. Coaches, known for their pivotal role in guiding athletes, face unique stressors and challenges that predispose them to mental health issues, notably depression. This paper comprehensively examines the effectiveness of various psychological interventions aimed at combating depression in this specific demographic. Through a meticulous selection of studies, we analyze interventions such as Cognitive Behavioral Therapy (CBT), mindfulness techniques, peer support networks, and other therapeutic strategies. The review not only highlights the efficacy of these interventions but also compares their applicability and impact within the coaching context. By identifying gaps in the current literature and practice, the article underscores the urgent need for tailored mental health support for coaches. The insights gained from this review are intended to inform future research directions, contribute to the development of targeted mental health programs, and ultimately foster a healthier, more supportive environment in the sports coaching community. This article serves as a call to action, emphasizing the crucial role of mental health care in sustaining the well-being and performance of coaches, who are instrumental in the athletic and personal development of athletes.

The role of mental health care in reaching optimal performance in sports

The role of mental health care in reaching optimal performance in sports

Exploiting social graph networks for emotion prediction

Emotion prediction plays an essential role in mental healthcare and emotion-aware computing. The complex nature of emotion resulting from its dependency on a person’s physiological health, mental state, and his surroundings makes its prediction a challenging task. In this work, we utilize mobile sensing data to predict self-reported happiness and stress levels. In addition to a person’s physiology, we also incorporate the environment’s impact through weather and social network. To this end, we leverage phone data to construct social networks and develop a machine learning architecture that aggregates information from multiple users of the graph network and integrates it with the temporal dynamics of data to predict emotion for all users. The construction of social networks does not incur additional costs in terms of ecological momentary assessments or data collection from users and does not raise privacy concerns. We propose an architecture that automates the integration of the user’s social network in affect prediction and is capable of dealing with the dynamic distribution of real-life social networks, making it scalable to large-scale networks. The extensive evaluation highlights the prediction performance improvement provided by the integration of social networks. We further investigate the impact of graph topology on the model’s performance.

Chatbot features for anxiety and depression: A scoping review.

Chatbots can provide valuable support to patients in assessing and guiding management of various health problems particularly when human resources are scarce. Chatbots can be affordable and efficient on-demand virtual assistants for mental health conditions, including anxiety and depression. We review features of chatbots available for anxiety or depression. Six bibliographic databases were searched including backward and forwards reference list checking. The initial search returned 1302 citations. Post-filtering, 42 studies remained forming the final dataset for this scoping review. Most of the studies were from conference proceedings (62%, 26/42), followed by journal articles (26%, 11/42), reports (7%, 3/42), or book chapters (5%, 2/42). About half of the reviewed chatbots had functionality targeting both anxiety and depression (60%, 25/42), whereas 38% (16/42) targeted only depression, 38% (16/42) anxiety and the remaining addressed other mental health issues along with anxiety and depression. Avatars or fictional characters were rarely used in these studies only 26% (11/42) despite their increasing popularity. Mental health chatbots could benefit in helping patients with anxiety and depression and provide valuable support to mental healthcare workers, particularly when resources are scarce. Real-time personal virtual assistance fills in this gap. Their role in mental health care is expected to increase.

Meanings of nurses' role in Child and Adolescent Psychosocial Care Centers.

to analyze the meaning attributed to nurses' role in mental health care in Child and Adolescent Psychosocial Care Centers. qualitative research, anchored in the paradigm of complexity. Data collection was carried out through online semi-structured interviews with ten nurses from São Paulo, between March and September 2022, being analyzed thematically. the diversity and specificity of a child and adolescent mental health clinic, with the need for expanded, territorial and intersectoral care, were unveiled in addition to a fragmented training in the area. There was a need for a deconstruction of being a nurse to make it possible to produce more inclusive and salutogenic practices. the need for training nurses with adequate knowledge and skills to care for the mental health of children, adolescents and their families is reinforced as well as permanent education of working teams.