Demand For Mental Health Care Research Articles

Bridging the mental health gap: The scope, challenges, and future of digital psychiatry in India

The mental health burden in India is increasing at unprecedented rates. The increased demand for mental health care and the undersupply of services has widened the treatment gap. Due to several factors, such as increasing service costs and the circumstances surrounding the COVID-19 pandemic, India has witnessed an inclination toward using digital mental health solutions to overcome the treatment gap. Drawing from the collective evidence and experience in implementing mental health solutions using digital phenotyping and smartphone app-based care delivery in India, we define the scope, potential, and challenges of implementing synchronous and asynchronous digital mental health solutions that can serve as a template for improving global mental health.

Follow-up of telemedicine mental health interventions amid COVID-19 pandemic

The initiation of the program Mental Health Support Program for Coronavirus Infection addressed the increased demand for mental health services in the province of Salamanca, resulting from the COVID-19 pandemic. The psychiatry service provided care for COVID-19 patients, their families, and healthcare workers who treated them, as these groups were identified as being at risk. This study aims to describe the assistance provided, including personnel and resources utilized, types of interventions carried out, and to assess the demand for mental health care and predominant symptoms and emotions experienced by patients. Billboards and the complex’s intranet publicized the program. Specific clinical approach using telemedicine were provide from March 2020 to December 2021 to COVID-19 patients, their relatives, and healthcare workers. 216 patients were included with a mean age of 53.2 years, with women comprising 77.3% of this group. All the groups received treatment in similar proportions. Over a period of 730 h, a total of 1376 interventions were performed, with an average duration of 31.8 min per intervention. The program could treat 79.6% of these patients without requiring referrals to other services. When the program concluded, only 21 participants (9.7%) were discharged to the local mental health network to continue their mental health treatment. The program effectively reduced the burden on regular mental health services due to its ability to treat most patients without requiring referrals. The program was able to attend to most mental health requests with minimal involvement of the regular mental health service.

Validation of a Multivariable Model to Predict Suicide Attempt in a Mental Health Intake Sample

Given that suicide rates have been increasing over the past decade and the demand for mental health care is at an all-time high, targeted prevention efforts are needed to identify individuals seeking to initiate mental health outpatient services who are at high risk for suicide. Suicide prediction models have been developed using outpatient mental health encounters, but their performance among intake appointments has not been directly examined. To assess the performance of a predictive model of suicide attempts among individuals seeking to initiate an episode of outpatient mental health care. This prognostic study tested the performance of a previously developed machine learning model designed to predict suicide attempts within 90 days of any mental health outpatient visit. All mental health intake appointments scheduled between January 1, 2012, and April 1, 2022, at Kaiser Permanente Northern California, a large integrated health care delivery system serving over 4.5 million patients, were included. Data were extracted and analyzed from August 9, 2022, to July 31, 2023. Suicide attempts (including completed suicides) within 90 days of the appointment, determined by diagnostic codes and government databases. All predictors were extracted from electronic health records. The study included 1 623 232 scheduled appointments from 835 616 unique patients. There were 2800 scheduled appointments (0.17%) followed by a suicide attempt within 90 days. The mean (SD) age across appointments was 39.7 (15.8) years, and most appointments were for women (1 103 184 [68.0%]). The model had an area under the receiver operating characteristic curve of 0.77 (95% CI, 0.76-0.78), an area under the precision-recall curve of 0.02 (95% CI, 0.02-0.02), an expected calibration error of 0.0012 (95% CI, 0.0011-0.0013), and sensitivities of 37.2% (95% CI, 35.5%-38.9%) and 18.8% (95% CI, 17.3%-20.2%) at specificities of 95% and 99%, respectively. The 10% of appointments at the highest risk level accounted for 48.8% (95% CI, 47.0%-50.6%) of the appointments followed by a suicide attempt. In this prognostic study involving mental health intakes, a previously developed machine learning model of suicide attempts showed good overall classification performance. Implementation research is needed to determine appropriate thresholds and interventions for applying the model in an intake setting to target high-risk cases in a manner that is acceptable to patients and clinicians.

AI Assisting in Mental Health

Abstract: This research paper explores the transformative impact of artificial intelligence (AI) in the field of mental health counselling, aiming to enhance the effectiveness and accessibility of support services. As the demand for mental health care continues to rise globally, there is a growing need for innovative solutions to bridge the gap between the increasing demand for counselling and the limited availability of human counsellors. Our study focuses on the integration of AI technologies to assist mental health counsellors in various aspects of their practice. Through an extensive review of existing literature, we analyse the potential benefits and challenges associated with implementing AI in counselling settings. The paper highlights AI's ability to augment traditional counselling approaches by offering timely and personalised interventions, improving the overall efficiency of therapeutic processes. Drawing on case studies and pilot programs, this research presents empirical evidence supporting the positive outcomes and user acceptance of AI-assisted counselling interventions. Additionally, the paper discusses potential limitations, such as the need for continuous refinement of algorithms and the importance of addressing concerns related to data security and privacy.

University students' access to mental health services: A qualitative study of the experiences of health service professionals through the lens of candidacy in England.

In order to develop a better understanding of students' access to mental health services, we explored the experiences of health care professionals interacting with university students with mental health problems. We interviewed 23 professionals working across university advice and counselling services, NHS general practice, crisis, and psychological services in North and East London between June 2022 and January 2023. Our approach drew on reflexive thematic analysis and the principles of abductive analysis. The notion of candidacy - that is, how different needs are deemed deserving of health service attention - was particularly helpful to our understanding of the ongoing phenomenon of interest in the data. Each student's access to mental health support was highly contingent on the student's dynamic social context and the pressures and organisation of the local health system. Professionals described how different students viewed different needs as deserving of health service attention. Which students reached the professional's service depended on the resources and relationships a student could draw upon, and the service's relative permeability. Once there, what action professionals took was strongly influenced by the professional's service expertise, resource constraints, the relationships the professional's service had with other organisations, the students' wishes, and whether students regarded treatment offers as acceptable. Candidacy offers a useful lens to view university students' access to mental health support. Access appears to be an increasingly intricate task for students, given the fragmented service landscape, surging demand for mental health care and challenges of emerging adulthood. Our findings suggest that policy goals to increase use of mental health services are unlikely to improve outcomes for students without policy makers and health systems giving holistic consideration of inter-service relationships and available resources.

The State of Mental Health Services for Incarcerated Adults in Ontario: A Scoping Review.

Individuals with mental illness are significantly overrepresented in the Canadian justice system. Given the high rate of mental illness among individuals who are incarcerated, correctional facilities must implement accessible and effective mental health resources. This not only improves their health and well-being but also contributes to their rehabilitation efforts. However, evidence suggests that the care provided in prisons is inadequate. This scoping review asks, "What is known about the access and quality of mental health care services for adults who are incarcerated in Ontario?" Mental health care services included non-acute interventions and care that is provided in the institution. This scoping review followed the PRISMA Extension for Scoping Reviews methodology. Databases searched include MedLINE, EMBASE, CINAHL, PsycINFO, Criminal Justice Abstracts, JSTOR, Google Scholar, and the grey literature. The search yielded 354 titles and abstracts of which 16 met the inclusion criteria. Conducted from 2010-2022, the 16 studies included qualitative, quantitative, and mixed methods. Common themes that were identified related to segregation, mental health assessments, medication prescribing and access, opioid agonist therapy, psychiatric service access, systemic and institutional barriers, mental health perception, and the need for collaboration. Despite the significant demand for mental health care in Ontario correctional facilities, limitations to quality care are evident. Such limitations intersect and are then exacerbated, resulting in poor mental health care provision among the incarcerated population. More research is warranted regarding the access, quality, and efficiency of mental health care in Ontario prisons, and how factors including ethnicity, gender, and prison classification (provincial vs. federal) may influence mental health care and its outcomes.

Self-Reported Mental Health and the Demand for Mental Health Care After a Labor Market Shock: Evidence from the Spanish Great Recession.

This research examines the mental health inequalities between employed and unemployed individuals among the fluctuations over the business cycle. To analyze whether a recession affects self-evaluated mental health and consequently increases the demand for mental health care, I exploit the sudden increase of the unemployment rate in Spain during the period 2007-2009. First, I analyze the impairment of self-evaluated mental health as a consequence of the Great Recession and if it prevails during the economic recovery. In addition, I estimate if the effect on self-reported mental health is reflected in demand for mental health care. The results from an event study design show that the economic downturn increases the differences between employed and unemployed individuals in self-evaluated mental health. However, and despite the continuous improvement in unemployment, the mental health gap remained unchanged between 2014 and 2017, which could imply the persistence of some lasting impacts of the Great Recession on mental health. Nonetheless, I find a reduction in the differences of using drugs related to mental health during the period 2011-2012, when I estimate the largest inequalities in self-evaluated mental health.

Religion and Philosophy Affected Stigma against Mental Illness and Impact on the Mental Health Care in India and China

Mental illness has been a prevalent issue around the world however; an existing stigma against mental illness is preventing the development of proper mental health care and resources. This phenomenon is seen in the countries of India and China. Considering a stigma is developed within the society based on some beliefs upheld by the general population, it was in the best interest to investigate religions and philosophies that people in both China and India follow and uphold. This paper aims to answer the research question of “In what ways has religion and philosophy, specifically Islam, Hinduism, Buddhism, and Confucianism, affected stigma against mental illness and thus the available mental health care in India and China?”. Through research done on the four religions/philosophies, certain connections could be made. In India, Hinduism views mental illness as a result of a lack of faith and adherence to rituals. In Islam, mental illness is also believed to be due to a lack of faith. Such negative views of mental health could be contributing to the large treatment gap in India. In China, Confucianism seems to be the reason why a mental illness stigma exists. Confucianism emphasizes adherence to societal views, even if that means suppressing emotion. This causes people to look down upon mental illness and justifies people staying away from those with mental illnesses rather than helping them. On the other hand, Buddhism, the majority religion/philosophy in China, seeks to reduce mental health stigma. Buddhist beliefs could be the cause of the increase in demand for mental health care. The connections made are beneficial to understanding the root of mental health stigma and can be used in the future to combat the stigma and start increasing awareness and available mental health care.

Study finds scant mental health care coverage for older adults

Amid heightened demand for mental health care, a new study finds that nearly two‐thirds of Medicare Advantage psychiatrist networks contain less than 25% of all psychiatrists in a given service area, according to new research published July 6 in Health Affairs. “This means that many people who have coverage through Medicare Advantage plans may not actually have access to psychiatrists, given how few are considered in‐network,” lead author Jane Zhu, M.D., assistant professor of medicine (general internal medicine and geriatrics) in the School of Medicine at Oregon Health & Science University, stated in an OHSU news release. Medicare Advantage, which covers 28 million Americans through private insurance plans backed by Medicare, has an even narrower network of psychiatrists available to patients than those covered by Medicaid managed care or by insurance plans in the Affordable Care Act. Insurance plans often contract with sets of providers — considered “in‐network” — to deliver services to their enrollees. The researchers built a nationwide data set of health plan networks, their service areas and their participating providers in 2019. The new study is the latest in a series of findings highlighting a lack of coverage and access to mental health care nationwide. Provider networks are one important lever of access, and Zhu noted that the new study likely understates the problem. That's because even if a psychiatrist is technically in‐network, Zhu said an overall national shortage of psychiatrists means that many are fully booked already and aren't accepting new patients. She said this may translate to higher out‐of‐pocket costs, delays in care or foregone treatment. For Zhu, these findings suggest that it's necessary for insurers to incentivize more psychiatrists and mental health professionals to accept health insurance, or to expand coverage of services delivered by other health care professionals such as psychologists, counselors or primary care physicians who provide mental health care.

Understanding Users' Experiences of a Novel Web-Based Cognitive Behavioral Therapy Platform for Depression and Anxiety: Qualitative Interviews From Pilot Trial Participants.

Digital mental health interventions (DMHIs) can help bridge the gap between the demand for mental health care and availability of treatment resources. The affordances of DMHIs have been proposed to overcome barriers to care such as accessibility, cost, and stigma. Despite these proposals, most evaluations of the DMHI focus on clinical effectiveness, with less consideration of users' perspectives and experiences. We conducted a pilot randomized controlled trial of "Overcoming Thoughts," a web-based platform that uses cognitive and behavioral principles to address depression and anxiety. The "Overcoming Thoughts" platform included 2 brief interventions-cognitive restructuring and behavioral experimentation. Users accessed either a version that included asynchronous interactions with other users ("crowdsourced" platform) or a completely self-guided version (control condition). We aimed to understand the users' perspectives and experiences by conducting a subset of interviews during the follow-up period of the trial. We used purposive sampling to select a subset of trial participants based on group assignment (treatment and control) and symptom improvement (those who improved and those who did not on primary outcomes). We conducted semistructured interviews with 23 participants during the follow-up period that addressed acceptability, usability, and impact. We conducted a thematic analysis of the interviews until saturation was reached. A total of 8 major themes were identified: possible opportunities to expand the platform; improvements in mental health because of using the platform; increased self-reflection skills; platform being more helpful for certain situations or domains; implementation of skills into users' lives, even without direct platform use; increased coping skills because of using the platform; repetitiveness of platform exercises; and use pattern. Although no differences in themes were found among groups based on improvement status (all P values >.05, ranging from .12 to .86), there were 4 themes that differed based on conditions (P values from .01 to .046): helpfulness of self-reflection supported by an exercise summary (greater in control); aiding in slowing thoughts and feeling calmer (greater in control); overcoming patterns of avoidance (greater in control); and repetitiveness of content (greater in the intervention). We identified the different benefits that users perceived from a novel DMHI and opportunities to improve the platform. Interestingly, we did not note any differences in themes between those who improved and those who did not, but we did find some differences between those who received the control and intervention versions of the platform. Future research should continue to investigate users' experiences with DMHIs to better understand the complex dynamics of their use and outcomes.

Experiences of care-seeking by schizophrenia patients with delayed diagnosis and treatment in rural China: A qualitative study.

Patients with schizophrenia in rural areas of China face severe delays in getting appropriate treatment due to poverty, transportation, and limited availability of mental healthcare services. However, the experiences of care-seeking among patients with delayed diagnosis and treatment in rural areas remain poorly understood, and it remains unclear how these experiences influence patients' medical mistrust or expectations of care. This study aims to fill that void. We applied a qualitative phenomenological method. Patients were recruited through purposive sampling at a psychiatric hospital in Harbin, China. Semi-structured, one-to-one interviews were conducted, guided by an interview outline. Thematic analysis was performed using Colaizzi's seven-step method. Data saturation was achieved after interviewing 13 participants aged 21 to 53 years. Three themes with eight subthemes were identified: (i) Barriers to seeking care, (ii) Feelings for psychiatric treatment, and (iii) Demand for mental healthcare. Several factors that may impede the timely diagnosis and treatment were identified, including patients, physicians, and institutions. The participants described their feelings of adverse treatment experiences, as well as expectations arising from this process. It predominantly covers awareness of the disease, supportive access to care, and geographic accessibility of services. Patients with delayed diagnosis and treatment in rural areas often have negative experiences and various needs for mental health services in the pursuit of effective treatments. Policymakers and health planners should seriously consider the current challenges in rural mental healthcare to develop comprehensive strategies for improving prehospital delays and medical experience for this group of patients.

Technology Implementation for Mental Health End Users: A Model to Guide Digital Transformation for Inpatient Mental Health Professionals.

Digital transformation is the adoption of digital technologies by an entity in an effort to increase operational efficiency. In mental health care, digital transformation entails technology implementation to improve the quality of care and mental health outcomes. Most psychiatric hospitals rely heavily on "high-touch" interventions or those that require in-person, face-to-face interaction with the patient. Those that are exploring digital mental health care interventions, particularly for outpatient care, often copiously commit to the "high-tech" model, losing the crucial human element. The process of digital transformation, especially within acute psychiatric treatment settings, is in its infancy. Existing implementation models outline the development of patient-facing treatment interventions within the primary care system; however, to our knowledge, there is no proposed or established model for implementing a new provider-facing ministration tool within an acute inpatient psychiatric setting. Solving the complex challenges within mental health care demands that new mental health technology is developed in concert with a use protocol by and for the inpatient mental health professional (IMHP; the end user), allowing the "high-touch" to inform the "high-tech" and vice versa. Therefore, in this viewpoint article, we propose the Technology Implementation for Mental-Health End-Users framework, which outlines the process for developing a prototype of an IMHP-facing digital intervention tool in parallel with a protocol for the IMHP end user to deliver the intervention. By balancing the design of the digital mental health care intervention tool with IMHP end user resource development, we can significantly improve mental health outcomes and pioneer digital transformation nationwide.

Mental health care in the city of Lubumbashi, Democratic Republic of the Congo: Analysis of demand, supply and operational response capacity of the health district of Tshamilemba.

Integrating mental health care into the primary care system is an important policy option in the Democratic Republic of the Congo (DRC). From the perspective of the integration of mental health care in district health services, this study analyzed the existing demand and supply of mental health care in the health district of Tshamilemba, which is located in Lubumbashi, the second largest city of the DRC. We critically examined the district's operational response capacity to address mental health. A multimethod cross-sectional exploratory study was carried out. We conducted a documentary review (including an analysis of the routine health information system) from the health district of Tshamilemba. We further organized a household survey to which 591 residents responded and conducted 5 focus group discussions (FGDs) with 50 key stakeholders (doctors, nurses, managers, community health workers and leaders, health care users). The demand for mental health care was analyzed through the assessment of the burden of mental health problems and care-seeking behaviors. The burden of mental disorders was assessed by calculating a morbidity indicator (proportion of mental health cases) and through a qualitative analysis of the psychosocial consequences as perceived by the participants. Care-seeking behavior was analyzed by calculating health service utilization indicators and more specifically the relative frequency of mental health complaints in primary health care centers, and by analyzing FGDs participants' reports. The mental health care supply available was described by using the qualitative analysis of the declarations of the participants (providers and users of care) to the FGDs and by analyzing the package of care available in the primary health care centers. Finally, the district's operational response capacity was assessed by making an inventory of all available resources and by analyzing qualitative data provided by health providers and managers regarding the district' capacity to address mental health conditions. Analysis of technical documents indicated that the burden of mental health problems is a major public problem in Lubumbashi. However, the proportion of mental health cases among the general patient population seen in the outpatient curative consultations in the Tshamilemba district remains very low, at an estimated 5.3%. The interviews not only pointed to a clear demand for mental health care but also indicated that there is currently hardly any offer of care available in the district. There are no dedicated psychiatric beds, nor is there a psychiatrist or psychologist available. Participants in the FGDs stated that in this context, the main source of care for people remains traditional medicine. Our findings show a clear demand for mental health care and a lack of formal mental health care supply in the Tshamilemba district. Moreover, this district lacks adequate operational capacity to meet the mental health needs of the population. Traditional African medicine is currently the main source of mental health care in this health district. Identifying concrete priority mental health actions to address this gap, by making evidence-based mental care available, is therefore of great relevance.

How the COVID-19 Pandemic Affects the Provision of Psychotherapy: Results from Three Online Surveys on Austrian Psychotherapists.

This study aimed to assess patient numbers and the format in which psychotherapy was delivered by Austrian psychotherapists during different time points of the COVID-19 pandemic and to explore psychotherapists` experiences on pandemic-associated changes in their psychotherapeutic work as well as their wishes for support in their professional activities. Three cross-sectional online surveys were conducted between March 2020 and May 2022. The total number of participating psychotherapists was n = 1547 in 2020, n = 238 in 2021, and n = 510 in 2022. The number of patients treated was highest in 2022 and lowest at the beginning of the pandemic (p < 0.001). During the lockdown in 2020, only 25.0% of patients were treated in personal contact. This proportion increased in the following years, reaching 86.9% in 2022 (p < 0.001). After a substantial increase in the proportion of patients treated via the telephone and internet during the first lockdown, both proportions decreased during the pandemics' second and third year (p < 0.001). However, a larger proportion of patients were treated via the internet in 2022 compared to pre-pandemic times (p < 0.001). Psychotherapists reported that the pandemic affected mainly the setting in which psychotherapy was provided (29.6%), the working conditions and workload (27.1%), as well as the demand for psychotherapy (26.9%). About one-third of psychotherapists expressed support wishes for their psychotherapeutic work. Results suggest that the pandemic went along with a partial shift in the provision of psychotherapy towards psychotherapy via the internet but not the telephone. The increase in patient numbers and psychotherapists` reports of increased workload suggest a rise in the demand for mental health care during and in the aftermath of the pandemic.

An innovative model of psychological service delivery in primary healthcare: the Single-Session Intervention

BackgroundIn Canada, the demand for mental health care exceeds the provision of services. This exploratory study aimed to assess the feasibility and impact of a new service delivery model for psychological consultations in primary care settings: the Single-Session Intervention (SSI), inspired by Advanced Access (AA) principles for appointment scheduling. The specific objectives were to examine whether the SSI increases accessibility to psychological consultations, to measure the effects of the intervention on different self-reported measures, and to assess users’ consultation experiences.MethodsParticipants were recruited in a University Family Medicine Group in Quebec (Canada), and the SSI was delivered by the on-site psychologist. No referral or formal diagnosis was needed to attend, and participants could promptly obtain an appointment. Participants rated the intensity of their problem, their level of psychological distress and their well-being, before and after the SSI. They also rated their satisfaction with their consultation experience. There was a follow-up 4 to 6 weeks later.ResultsOf the N = 69 participants who received SSI, 91% were able to obtain an appointment in less than 7 working days. The number of patients who were able to benefit from a psychological consultation was about 7 times higher after the implementation of SSI compared to previous years, when a traditional model of service delivery was in place. After SSI, participants felt that the intensity of their problem and psychological distress were lower, and that their well-being was increased, as indicated by significant pre-post test clinical measures (p < 0.0001). The observed effects seemed to be sustained at follow-up. Moreover, 51% of participants said that one session was sufficient to help them with their problem. Participants rated SSI as a highly satisfying and helpful consultation experience (92,9% overall satisfaction).ConclusionsSSI, offered in a timely manner, could be an innovative and cost-effective intervention to provide mental health services on a large scale in primary healthcare. Further research is needed to replicate the results, but these preliminary data seem to indicate that psychological distress may be quickly addressed by SSI, thereby preventing further deteriorations in patients’ mental health.Trial Registration2019–393, 26 March 2019.

Certified Peer Support Specialists Training in Technology and Delivery of Digital Peer Support Services: Cross-sectional Study

When the COVID-19 pandemic lockdown measures were instituted, the wide-scale necessity for remote mental health care increased among professional clinicians, such as psychiatrists, psychologists, social workers, and certified peer support (CPS) specialists. Factors contributing to increased demand include concern for the safety of loved ones, the safety of oneself, overall well-being, unemployment, and loneliness for older individuals. While demand continues to increase and a shortage of mental health professionals persists, understanding the training, technology, media, and delivery of digital peer support services can facilitate community-based support services to assist patients in coping with mental health symptoms between clinical encounters with licensed professionals. Digital peer support consists of asynchronous and synchronous, live or automated, peer support services such as applications, social media, and phone calls. The purpose of this cross-sectional study is to determine how digital peer support is delivered, by which technologies it is delivered, and how certified digital peer supporters are trained within the United States to inform future delivery of digital peer support. We used an online cross-sectional self-report survey developed alongside certified peer specialists. The study included questions regarding the types of peer support training and the delivery methods used within their practices. We advertised the survey through a certified peer support specialist listserve, Facebook, and Twitter. Certified peer specialists provide mutual social emotional support to those with a similar mental health condition. Of certified peer specialists trained in CPS, the majority of CPS specialists were trained in peer support (418/426, 98.1%). Peer support specialists deliver services via telephone calls (182/293, 62.1%), via videoconference-based services (160/293, 54.6%), via SMS text messages (123/293, 42%), via smartphone apps (68/293, 23.2%), and via social media (65/293, 22.2%). Certified peer specialists deliver services through virtual reality (11/293, 3.8%) and through video games (6/293, 2%). Virtual reality and video games may represent emerging technologies to develop and deliver community-based support. This study examined the modes of digital peer support intervention as well as the training and demographic background of peer supporters. Given the demand for mental health care, digital peer support emerges as one option to increase access. These results suggest that CPS specialists commonly use SMS text messaging, phone calls, and videoconferences to engage in peer support. Less frequently, they may use diverse modes such as apps, social media, and video games. It is important to consider the backgrounds of peer supporters and the mediums of communication to best accommodate areas where access to peer support is emerging. Larger longitudinal studies and a variety of experimental designs may be considered to understand the efficacy of digital interventions and digital peer support training to direct optimal care.

1.121 Innovative Team-Based Care Model Within a Child/Adolescent Psychiatry Service: Integration of a Board-Certified Psychiatric Pharmacist

As demand for mental health care for children and adolescents continues to exceed the available resources, patients/caregivers report barriers to specialized treatment including cost, long wait times, lack of services, and concerns about treatment efficacy and tolerability (Reardon et al, 2017). Psychiatric pharmacists are psychopharmacology experts who are well-positioned to serve as a specialized provider within the interprofessional care team. The inclusion of psychiatric pharmacists in interdisciplinary teams has been shown to improve quality of care, patient safety, and clinical outcomes in various care settings (Lu et al, 2021; Werremeyer et al, 2020).

Trends In Mental Health Care Delivery By Psychiatrists And Nurse Practitioners In Medicare, 2011-19.

The supply of psychiatrists in the United States is inadequate to address the unmet demand for mental health care. Psychiatric mental health nurse practitioners (PMHNPs) may fill the widening gap between supply of and demand for mental health specialists with prescribing privileges. Using Medicare claims for a 100percent sample of fee-for-service beneficiaries (average age, sixty-one years) who had an office visit for either a psychiatrist or a PMHNP during the period 2011-19, we examined how the supply and use of psychiatrists and PMHNPs changed over time, and we compared their practice patterns. Psychiatrists and PMHNPs treated roughly comparable patient populations with similar services and prescriptions. From 2011 to 2019 the number of PMHNPs treating Medicare beneficiaries grew 162percent, compared with a 6percent relative decrease in the number of psychiatrists doing so. During the same period, total annual mental health office visits per 100 beneficiaries decreased 11.5percent from 27.4 to 24.2, the net result of a 29.0percent drop in psychiatrist visits being offset by a 111.3percent increase in PMHNP visits. The proportion of all mental health prescriber visits provided by PMHNPs increased from 12.5percent to 29.8percent during 2011-19, exceeding 50percent in rural, full-scope-of-practice regions. PMHNPs are a rapidly growing workforce that may be instrumental in improving mental health care access.

Changes in Resilience Following Engagement With a Virtual Mental Health System: Real-world Observational Study.

BackgroundDigital health services can serve as scalable solutions to address the growing demand for mental health care. However, more research is needed to better understand the association between engagement with care and improvements in subclinical outcomes.ObjectiveThis study aims to fill this research gap by examining the relationship between members’ engagement with the Ginger platform and changes in their psychological resilience.MethodsWe conducted a retrospective observational study of 3272 members who accessed Ginger, an on-demand mental health service, between January 2021 and November 2021. Each member completed the 10-item Connor-Davidson Resilience Scale questionnaire, a measure of psychological resilience, at baseline and again during a 6- to 16-week follow-up window. Depression and anxiety symptoms (9-item Patient Health Questionnaire and 7-item Generalized Anxiety Disorder) were also measured. Linear regression was used to identify the association between engagement with Ginger’s multiple care modalities and changes in resilience. Moderator analysis was conducted to test whether clinical depression or anxiety at baseline moderated the relationship between engagement level and changes in resilience.ResultsOf the 3272 members, 2683 (82%) reported low resilience at baseline. The mean change in resilience was 0.77 (SD 5.50) points. Linear regression models showed that age and census region did not predict changes in resilience; however, male members showed larger improvements (coefficient=0.58; P=.04). Baseline mental health outcomes, including resilience and depression and anxiety symptoms, were strong predictors of changes in resilience. Every point decrease in baseline resilience is associated with a 0.28-point increase in change in resilience (P<.001), and members with no or mild depression and anxiety at baseline saw changes in resilience that were 1.44 points (P<.001) larger than their clinical counterparts. Engagement with the Ginger system predicted changes in resilience. Members who engaged with Ginger coaching, clinical services, or both improved their resilience by 1.82, 1.55, and 1.40 points, respectively (P<.001), more than those who only engaged with Ginger content. Screening negative for moderate to severe depression and anxiety at baseline was associated with larger improvements in resilience (coefficient=1.30; P<.001); however, subclinical status was not shown to be a moderator for the association between level of engagement and changes in resilience.ConclusionsEngagement with Ginger services was associated with improvements in resilience. Members who engaged in coaching or clinical care had significantly larger improvements compared with those who only engaged in self-guided content, regardless of whether a member screened positive for clinical depression or anxiety at baseline.

Responding to persons in mental health crisis: A cross-country comparative study of professionals’ perspectives on psychiatric ambulance and street triage models

People with mental illness can experience mental health crises (MHCs) that manifest in behaviours risky for the affected persons and for others, often resulting in unwanted police encounters and detention. Mobile crisis teams employing the psychiatric ambulance model (PAM) have shown positive effects when responding to MHCs, including diverting patients from police custody. However, the literature contains few reports about PAM. The emerging model of street triage (ST) is more frequently used and better researched. This study explored and compared facilitators and barriers of PAM and ST from the perspective of professionals from different countries. We conducted 12 semi-structured interviews with key PAM stakeholders in Sweden and the Netherlands and ST stakeholders in England, then performed comparative thematic analysis. Participants believed that PAM and ST led to better care for persons in MHC, reducing stigma and use of force. The main facilitators for Swedish participants were that PAM is a specialty with highly experienced and autonomousstaff. For Dutch participants, the more generalized medium-care ambulance led to success. Street triage enhanced overall safety and interagency collaboration. A common barrier was the lack of (emergency) treatment options and funding to meet the high demand for mental health care. Future research should explore collaboration between mobile crisis teams and community care to improve MHC response, and the perspectives of persons with mental illness on mental health emergency response models. Careful assessment is recommended to determine which mental health emergency response model best suits a specific local or national context.