暂无摘要。

OBJECTIVE: The aim of this study is to measure geographic variations in mental healthcare service utilisation among patients with severe mental illness in Norway.
METHODS: We analysed data from the Norwegian patient registry for 2014-2018 for patients with severe mental illness. The outcomes measured in this study were: outpatient contact, admission, bed days and total contact rates. Total contacts were calculated as the sum of observed outpatient contacts plus four times the hospital bed days for each hospital catchment area based on the Norwegian health director\'s report on clinical activity and patient treatment cost. Geographic variations were measured using extreme quotient (EQ), coefficient of variation (CV) and systematic component of variation (SCV). Maps, figures, and tables were used to visualise geographic variation.
RESULTS: The geographic variations saw a six-fold increase in the outpatient contact rate and a three-fold increase in the admission rate between the areas with lowest rate and areas with the highest rate. However, there was low geographic variation in calculated total contact rates (Eqs. 5 - 95 =1.77). The low-level geographic variation in the total calculated contact rate was also confirmed with an SCV of less than three.
CONCLUSIONS: The levels of geographic variations in the utilisation of outpatient and inpatient mental healthcare services among patients with severe mental illness are high. However, the geographic variation in total services provided by hospital catchment areas calculating the two service modalities together using their treatment cost ratio, is low. This may reflect the relatively equal performance of hospital catchment areas in terms of resource utilisation regardless which service modality they prioritise. Factors contributing to high geographic variation in individual service modalities need further investigation.

LGBTQ+ patients exhibit higher rates of mental disorder relative to the general population. This is particularly concerning since deficiencies in mental health practitioners\' skills and knowledge, along with negative attitudes and behaviors, are associated with a decreased likelihood of LGBTQ+ patients seeking mental healthcare services and an increased likelihood of reporting unmet mental healthcare needs. To address these concerns, a mixed-method systematic review was conducted to evaluate mental health practitioners\' attitudes towards and knowledge of LGBTQ+ patients and the impact of these factors on service utilization. Thirty-two relevant empirical qualitative and quantitative studies were retrieved from five databases following PRISMA guidelines, for a total of N = 13,110 mental health practitioners included. The results indicated that mental health practitioners generally hold affirming attitudes towards LGBTQ+ patients. However, significant gaps in practitioners\' knowledge and skills emerged, describing feelings of inadequate skill, lack of competence, low clinical preparedness in addressing specific LGBTQ+ needs, insufficient training opportunities, and desire for further education on LGBTQ+ issues. These findings underscore the need to enhance inclusivity and cultural competence at both organizational and educational levels. Such improvements are essential to better care for LGBTQ+ patients and reduce disparities in access to mental health services.

OBJECTIVE: Specialised mental healthcare delivery is highly labour intensive, and the COVID-19 pandemic has exacerbated workforce shortfalls. We explore the information on the mental healthcare labour supply in Australia from a health policy viewpoint. Our purpose is to stimulate discussion, further research and development of interventions.
CONCLUSIONS: The mental healthcare labour market has a number of features that make it prone to shortages and other distortions. These include: the labour-intensive nature of healthcare work;, long-training periods; that traditional policy levers like pay are only partially effective; as well as other challenges in retaining and recruiting mental health nurses and psychiatrists, especially in public mental health services. Further research is needed to develop and evaluate effective interventions.

UNASSIGNED: This research aimed to determine the stigma toward people with mental illness among mental health personnel and identify individual, professional, and contextual predictors.
UNASSIGNED: A descriptive, cross-sectional, and correlational design was used. The sample consisted of 218 mental health personnel working in Outpatient Psychiatric Units belonging to hospitals and Community Mental Health Centers in Chile. Stigma was evaluated using a scale of humanized treatment, a scale of social distance, and a scale of attitudes in health personnel. In addition, sociodemographic and professional information was collected from mental health personnel and contextual information, particularly the type of outpatient mental health center and the technical-administrative unit that groups all the health centers in a territory.
UNASSIGNED: It was found that mental health personnel, in general terms, present low levels of stigma expressed in behaviors of comfort and support toward users, a desire for closeness and social interaction, and reduced stigmatizing beliefs and attitudes of infantilization toward individuals with MHPs. However, intimacy and trust were lower than expected.Only educational levels and health centers were related to stigma.
UNASSIGNED: The low levels of stigma may be due to the evolution of this phenomenon and the country\'s mental health policies.

OBJECTIVE: Pediatric primary care (PPC) is a common treatment site for pediatric mental health, but it is currently unable to meet the needs of all teen patients, particularly those with minoritized identities and/or marginalized experiences. Digital mental health (DMH) low-intensity treatments (LITs) can increase mental health screening and care capacity in PPC, but how this is done successfully without burdening providers, patients, or families is unclear. This paper presents a pre-implementation study aimed at understanding the implementation context (PPCs in Chicago, IL) for a specific DMH LIT.
METHODS: Using a mixed-methods design, quantitative data from an online survey of providers assessed current DMH practices in PPC, and qualitative interviews with Pediatricians and Pediatric Psychologists examined implementation determinants for a specific DMH LIT. Quantitative data were analyzed using descriptive statistics, and interviews were analyzed using rapid qualitative assessment.
RESULTS: Survey reports (n = 105) and interviews (n = 6) indicated low current use of DMH. Providers in PPC clinics voiced multiple reasons for low usage and low perceived feasibility, including: Consolidated Framework for Implementation Research (CFIR) Inner Setting Domain (PPC clinic workflow, responsibility and ethical considerations, patient privacy and confidentiality), CFIR Outer Setting Domain (hospital and healthcare system factors), CFIR Innovation Domain (DMH design), and a cross-cutting theme of safety.
CONCLUSIONS: Provider-reported low feasibility for integrating DMH in PPC is a call to action to partner with interdisciplinary colleagues and identify how such settings can ethically and seamlessly deliver digital evidence-based and accessible screening and care prior to implementation.

BACKGROUND: Autistic people have a high likelihood of developing mental health difficulties but a low chance of receiving effective mental healthcare. Therefore, there is a need to identify and examine strategies to improve mental healthcare for autistic people.
OBJECTIVE: To identify strategies that have been implemented to improve access, experiences of care and mental health outcomes for autistic adults, and to examine evidence on their acceptability, feasibility and effectiveness.
METHODS: A co-produced systematic review was conducted. MEDLINE, PsycINFO, CINHAL, medRxiv and PsyArXiv were searched. We included all study designs reporting acceptability or feasibility outcomes and empirical quantitative study designs reporting effectiveness outcomes. Data were synthesised using a narrative approach.
RESULTS: A total of 30 articles were identified. These included 16 studies of adapted mental health interventions, eight studies of service improvements and six studies of bespoke mental health interventions developed for autistic people. There was no conclusive evidence on effectiveness. However, most bespoke and adapted approaches appeared to be feasible and acceptable. Identified adaptations appeared to be acceptable and feasible, including increasing knowledge and detection of autism, providing environmental adjustments and communication accommodations, accommodating individual differences and modifying the structure and content of interventions.
CONCLUSIONS: Many identified strategies are feasible and acceptable, and can be readily implemented in services with the potential to make mental healthcare more suitable for autistic people, but important research gaps remain. Future research should address these and investigate a co-produced package of service improvement measures.

UNASSIGNED: Postpartum depression (PPD) is prevalent among women after childbirth, but accessing mental healthcare for PPD is challenging. This study aimed to assess the treatment gap and barriers to mental healthcare access for women with PPD symptoms living in Punjab, Pakistan.
UNASSIGNED: A multicenter cross-sectional study was conducted in five populous cities of Punjab from January to June 2023 by administering the questionnaire to the women using stratified random sampling. A total of 3,220 women in first 6 months postpartum were screened using the Edinburgh Postnatal Depression Scale. Of them, 1,503 women scored thirteen or above, indicating potential depressive disorder. Interviews were conducted to explore help-seeking behavior and barriers to accessing mental healthcare. Descriptive statistics along with nonparametric tests (e.g., Kruskal-Wallis, Mann-Whitney U) were used and group differences were examined. Scatter plot matrices with fitted lines were used to explore associations between variables. Classification and regression tree methods were used to classify the importance and contribution of different variables for the intensity of PPD.
UNASSIGNED: Only 2% of women (n = 33) with high PPD symptoms sought mental healthcare, and merely 5% of women (n = 75) had been in contact with a health service since the onset of their symptoms. 92.80% of women with PPD symptoms did not seek any medical attention. The majority of women, 1,215 (81%), perceived the need for mental health treatment; however, 91.23% of them did not seek treatment from healthcare services. Women who recently gave birth to a female child had higher mean depression scores compared to those who gave birth to a male child. Age, education, and birth location of newborn were significantly associated (p  <  0.005) with mean barrier scores, mean social support scores, mean depression scores and treatment gap. The results of classification and regression decision tree model showed that instrumental barrier scores are the most important in predicting mean PPD scores.
UNASSIGNED: Women with PPD symptoms encountered considerable treatment gap and barriers to access mental health care. Integration of mental health services into obstetric care as well as PPD screening in public and private hospitals of Punjab, Pakistan is critically needed to overcome the treatment gap and barriers.

BACKGROUND: The limited accessibility of mental healthcare providers highlights the need for innovative approaches to provide effective and efficient care. Digital mental health applications (DMHAs) can improve patient access to evidence-based treatments and reduce burden on the healthcare system. Here, we examined the provider and patient barriers and facilitators to integration of DMHAs in a healthcare system.
METHODS: Patients (n = 57) and providers (n = 100) were recruited from a large healthcare system over five months. Participants completed a survey assessing attitudes towards DMHAs, and perceived facilitators and barriers to adoption and utilization of DMHAs in mental healthcare.
RESULTS: DMHA credibility was a key facilitator for provider adoption, while usability and accessibility were identified as key facilitators for patient utilization. Provider barriers included patient cost/provider reimbursement, limited knowledge, perceived limits to credibility, patient outcome enhancement, and personalization of DMHAs for patient needs. Patients identified privacy concerns as the top barrier for using DMHAs.
CONCLUSIONS: The self-report survey nature of this study, modest sample size, and majority of sample identifying as White and upper middle class make results subject to biases and limitations. Given the potential of DMHAs to address disparities in access to mental healthcare, more research is needed including populations who are at greatest risk.
CONCLUSIONS: Findings provide new insights to inform the development of intervention strategies to improve the integration of DMHAs within healthcare systems. Additional research examining key stakeholders at different levels of care is critical to address barriers, optimize facilitators, and develop roadmaps for best-practice use in healthcare systems.

UNASSIGNED: Telehealth implementation can be challenging for persons with serious mental illness (SMI), which may impact their quality of care and health outcomes. The literature on telehealth\'s impacts on SMI care outcomes is mixed, necessitating further investigation.
UNASSIGNED: We examined the impacts of facility-level telehealth adoption on quality of care metrics over time among patients with SMI.
UNASSIGNED: We analyzed Veterans Affairs (VA) administrative data across 138 facilities from January 2021 to December 2022. We performed longitudinal mixed-effects regressions to identify the relationships between the proportion of facility-level telehealth visits and SMI specialty care quality metrics: engagement with primary care; access and continuity of care across a range of mental health services including psychotherapy or psychosocial rehabilitation, SMI-specific intensive outpatient programs, and intensive case management; and continuity of mental health care after a high-risk event (eg, suicide attempt).
UNASSIGNED: Facilities with a higher proportion of telehealth visits had reduced access and continuity of physical and mental health care for patients with SMI (P<.05). Higher telehealth adoption was associated with reduced primary care engagement (z=-4.04; P<.001), reduced access to and continuity in SMI-specific intensive case management (z=-4.49; P<.001; z=-3.15; P<.002), reductions in the continuity of care within psychotherapy and psychosocial rehabilitation (z=-3.74; P<.001), and continuity of care after a high-risk event (z=-2.46; P<.01). Telehealth uptake initially increased access to intensive outpatient but did not improve its continuity over time (z=-4.47; P<.001). Except for continuity within SMI-specific intensive case management (z=2.62; P<.009), continuity did not improve over time as telehealth became routinized.
UNASSIGNED: Although telehealth helped preserve health care access during the pandemic, telehealth may have tradeoffs with regard to quality of care for some individuals with SMI. These data suggest that engagement strategies used by SMI-specific intensive case management may have preserved quality and could benefit other settings. Strategies that enhance telehealth implementation-selected through a health equity lens-may improve quality of care among patients with SMI.