Health Care Research Articles

Transition Guide Dissemination to Foster Patient-Care Team Conversations: A Childhood Arthritis Rheumatology Research Alliance Transition Learning Collaborative Pilot Implementation Study.

Uptake of evidence-informed health care transition processes among pediatric rheumatologists is low despite poor outcomes of transition from pediatric to adult care. We piloted a learning collaborative model to implement transition guides. We dually assessed implementation outcomes and changes in reported patient-care team discussions about transition. This was a type II hybrid effectiveness-implementation pilot study of transition guide dissemination to patients at least 14 years old with rheumatic conditions across nine pediatric rheumatology centers in the Childhood Arthritis Rheumatology Research Alliance Transition Learning Collaborative. We evaluated implementation outcomes (feasibility, adaptations, and fidelity) and the proportion of patients surveyed that reported having discussions with their care team regarding transfer planning. Six sites were retained through the COVID-19 pandemic (below 70% target). Five out of six sites contributed outcome data (met 80% target) but with substantial heterogeneity in how transition guides were shared (eg, in-person, electronic messages, and posted flyers), and data were collected. The pooled proportion of respondents having discussed transfer planning with their care team was 39% preimplementation (n = 239; 95% confidence interval [CI] 32%-46%) and 55% postimplementation (n = 864; 95% CI 36%-73%). After implementation, there were significant increases in the likelihood of respondents recalling receiving a transition guide (odds ratio [OR] 2.58, 95% CI 1.35-4.92) and discussing transfer planning (OR 2.14, 95% CI 1.30-3.52), adjusted for age and site of care. Transition guide dissemination is a simple intervention associated with increased awareness among young people with rheumatic conditions and discussions with their care team about transition preparation. The learning collaborative model facilitated identification of several dissemination strategies adaptable to site-specific resources.

Facilitators, Barriers, and Potential Impacts of Implementation of e-Pharmacy in India and its Potential Impact on Cost, Quality, and Access to Medicines: Scoping Review.

e-Pharmacy can potentially solve problems related to the quality of services and products, cost, and access to medicines in low- and middle-income countries. This review aims to understand the facilitators and barriers to the implementation of e-pharmacy in India. This scoping review aimed (1) to understand the facilitators and barriers to the use of e-pharmacy in India and (2) to estimate the potential for e-pharmacy in India for improving access to medication, improving the quality of services and medicines, and decreasing costs of medications. All published and gray literature from July 1, 2011, to June 30, 2021, relating to e-pharmacy, was searched from MEDLINE, Scopus, ProQuest, and Google using a systematic search strategy. In total, 1464 titles and abstracts were screened, of which 47 full-texts were included in the review. e-Pharmacy can potentially improve access to medications for remote areas, and old and debilitated individuals. e-Pharmacies can enable lean supply chain management, lower cost, and allow easy tracking of dispensed medicines. There is potential for integration of e-pharmacy services into the national program of Bhartiya Jan Aushadhi Pariyojana. However, the country is not adequately regulated to prevent the growth of illicit e-pharmacies. Lack of global accreditation and internet coverage, digital literacy, and transnational access are other challenges. E-pharmacy has the potential to improve universal health coverage in India by improving access to medicines and lowering the overall cost of health care. However, future growth will need specific regulations and accreditation mechanisms. Open Science Forum; https://doi.org/10.17605/OSF.IO/6R9YQ.

The Attitudes, Beliefs and Perspectives of Registered Nurses on Sleep Health Management in Residential Aged Care Facilities: A Qualitative Study.

To explore the attitudes, beliefs and perspectives of registered nurses (RNs) regarding sleep health and sleep health management of residents living in aged care settings in Australia. Qualitative inductive thematic analysis of semi-structured interviews. Semi-structured interviews were conducted with RNs working in residential aged care facilities using a topic guide between August 2021 and April 2022. Participants were recruited using a convenience-based and snowball sampling approach. Interviews were audio-recorded, transcribed verbatim and inductively analysed for emergent themes. Eighteen interviews were conducted with RNs working in aged care. Thematic analysis of the data derived three main themes: (i) Awareness and observations of sleep health, (ii) assessment and management of sleep disturbances and (iii) barriers to implementing evidence-based sleep health management. It was found that the most common barrier to providing evidence-based sleep health practices was related to workplace constraints. Participants detailed the limitations of the RN's professional role and ability to work autonomously in sleep health practices. Despite the intentions of RNs to implement evidence-based non-pharmacological strategies for sleep health management, pharmacological interventions prevail. Systemic efforts to address organisational constraints in aged care may improve sleep disturbance management and assist with shifting the current attitudes around sleep health in aged care facilities. This study highlights that current sleep health management of residents in residential aged care is inadequate. Upskilling nurses in sleep health care techniques and improving organisational commitment to such care provision are issues urgently required to enhance the sleep health of residents. Current sleep health practices are not evidence-based in residential aged care. Optimising sleep practices in residential aged care that are person-centred is likely to improve quality of life and healthy ageing. No patient or public contribution.

Why “free maternal healthcare” is not entirely free in Ghana: a qualitative exploration of the role of street-level bureaucratic power

BackgroundGhana introduced a free maternal healthcare policy within its National Health Insurance Scheme (NHIS) in 2008 to remove financial barriers to accessing maternal health services. Despite this policy, evidence suggests that women incur substantial out-of-pocket (OOP) payments for maternal health care. This study explores the underlying reasons for these persistent out-of-pocket payments within the context of Ghana’s free maternal healthcare policy.MethodsCross-sectional qualitative data were collected through interviews with a purposive sample of 14 mothers and 8 healthcare providers/administrators in two regions of Ghana between May and September 2022. All interviews were audio-recorded, transcribed and imported into the NVivo 14.0 software for analysis. An iteratively developed codebook guided the coding process. Our thematic data analysis followed the Attride-Sterling framework for network analysis, identifying basic, organising themes and global themes.ResultsWe found that health systems and demand-side factors are responsible for the persistence of OOP payments despite the existence of the free maternal healthcare policy in Ghana. Reasons for these payments arose from health systems factors, particularly, NHIS structural issues – delayed and insufficient reimbursements, inadequate NHIS benefit coverage, stockouts and supply chain challenges and demand-side factors – mothers’ lack of education about the NHIS benefit package, and passing of cost onto patients. Due to structural and system level challenges, healthcare providers, exercising their street-level bureaucratic power, have partly repackaged the policy, enabling the persistence of out-of-pocket payments for maternal healthcare.ConclusionsUrgent measures are required to address the structural and administrative issues confronting Ghana’s free maternal health policy; otherwise, Ghana may not achieve the sustainable development goals targets on maternal and child health.

Knowledge, attitudes, and support needs of obstetric and gynecological nurses and midwives toward perinatal mental health disorders screening in Central China: a multicenter cross-sectional survey

BackgroundThe perinatal period is a time of increased vulnerability regarding maternal mental health status. Although guidelines and policies have been published for perinatal mental health disorders (PMHDs) screening in China, the knowledge, attitudes, and support needs of nurses and midwives toward implementing mental health screening programs during pregnancy remain unclear. Thus, this study aimed to investigate the knowledge of PMHDs, attitudes and support needs related to implementing mental health screening during pregnancy among obstetrics and gynecology (OB/GYN) nurses and midwives in the central region of China while identifying the related influencing factors.MethodsA cross-sectional survey was conducted in 14 cities in Hubei, China, using convenience sampling from July to October 2023. The Chinese version of the Perinatal Mental Health Knowledge Questionnaire, the Chinese version of the Perinatal Mental Health Attitudes Scale, and the Health Care Facilities Support Needs Scale were used to investigate the PMHDs knowledge, attitudes, and support needs of OB/GYN nurses and midwives, respectively. Data were analyzed using SPSS version 27.0. Descriptive and inferential statistics were performed, with a p-value of <0.05 considered statistically significant.ResultsThe average scores for knowledge, attitudes, and support needs were 6.09 ± 1.99 (total score: 13), 47.67 ± 8.80 (total score: 80), and 29.35 ± 4.66 (total score: 35), respectively. After adjusting for years of nursing experience and years of obstetrics and gynecology nursing experience, the multivariate logistic regression analysis indicated that having mental health-related education or work experience [adjusted OR (aOR) = 1.43, p = 0.01], being midwives (aOR = 1.78, p < 0.001), and working in specialist maternity hospitals (aOR = 1.55, p < 0.001) were significantly associated with higher knowledge scores; having mental health related education or work experience (aOR = 1.59, p = 0.014) and working in specialist maternity hospitals (aOR = 1.42, p < 0.01) were significantly associated with higher support needs scores.ConclusionOB/GYN nurses and midwives demonstrated insufficient knowledge and moderate attitudes toward PMHDs screening, and have great support need for PMHDs screening. To address these issues, medical organizations and relevant government sectors should enhance training for nurses and midwives on PMHDs and provide professional support to promote routine maternal mental health screening programs and improve perinatal mental health outcomes.

An overview of current developments and methods for identifying diabetic foot ulcers: A survey

AbstractDiabetic foot ulcers (DFUs) present a substantial health risk across diverse age groups, creating challenges for healthcare professionals in the accurate classification and grading. DFU plays a crucial role in automated health monitoring and diagnosis systems, where the integration of medical imaging, computer vision, statistical analysis, and gait information is essential for comprehensive understanding and effective management. Diagnosing DFU is imperative, as it plays a major role in the processes of diagnosis, treatment planning, and neuropathy research within automated health monitoring and diagnosis systems. To address this, various machine learning and deep learning‐based methodologies have emerged in the literature to support healthcare practitioners in achieving improved diagnostic analyses for DFU. This survey paper investigates various diagnostic methodologies for DFU, spanning traditional statistical approaches to cutting‐edge deep learning techniques. It systematically reviews key stages involved in diabetic foot ulcer classification (DFUC) methods, including preprocessing, feature extraction, and classification, explaining their benefits and drawbacks. The investigation extends to exploring state‐of‐the‐art convolutional neural network models tailored for DFUC, involving extensive experiments with data augmentation and transfer learning methods. The overview also outlines datasets commonly employed for evaluating DFUC methodologies. Recognizing that neuropathy and reduced blood flow in the lower limbs might be caused by atherosclerotic blood vessels, this paper provides recommendations to researchers and practitioners involved in routine medical therapy to prevent substantial complications. Apart from reviewing prior literature, this survey aims to influence the future of DFU diagnostics by outlining prospective research directions, particularly in the domains of personalized and intelligent healthcare. Finally, this overview is to contribute to the continual evolution of DFU diagnosis in order to provide more effective and customized medical care.This article is categorized under: Application Areas > Health Care Technologies > Machine Learning Technologies > Artificial Intelligence

DIABEZE: Diabetes self-management among the elderly in a Belgian home for the aged: a best practice implementation project.

The aim of this project was to improve the self-management of diabetes among elderly residents in a Belgian home for the aged. Diabetes is a common chronic condition with significant comorbidity. Incidence is increasing, but a third of patients with diabetes are unaware that they have the disease. The treatment of diabetes requires a multifactorial approach. Treatment guidelines on diabetes recommend involving patients in monitoring their condition because supported self-management improves daily glycemic control. This evidence implementation project used the JBI Evidence Implementation Framework, which follows three phases. In the first phase, the area of change, stakeholders' role, and practice context and readiness for change are investigated. In the second phase, a baseline audit is conducted to compare current practice with best practice. Strategies are then implemented to address any areas of non-compliance with best practice. In the third phase, a follow-up audit is conducted to evaluate changes in practice. At baseline, six criteria had 0% compliance, two criteria had compliance lower than 50%, and only 49% of health care workers were familiar with the procedure for hypoglycemia treatment. Improvement strategies included creating awareness among health workers. In the follow-up audit, one criterion improved from 0% to 100%, three criteria improved from 0% to 85%, two criteria reached the threshold of 50% compliance, and one criterion reached 19%. Further audits are needed to ensure sustainability. This project improved diabetes self-management in elderly people living in a Belgian home for the aged. An in-depth planning phase with internal facilitation and interdisciplinary collaboration between all co-workers addressed barriers related to quality systems, structure, communication, and education. http://links.lww.com/IJEBH/A258.

Differences in Exposures to Adverse Childhood Experiences by Primary Source of Health Care, Behavioral Risk Factor Surveillance System 2019-2020.

To estimate the prevalence of adverse childhood experiences (ACEs) among a population-based sample of adults in the United States by their primary source of health care. Debate continues around the effectiveness and implementation of health care-based screening of ACEs. However, it is unclear how the burden of ACEs would be distributed across different sources of health care (ie, what a health system might expect should it implement ACEs screening). Data are from 8 U.S. states that include optional modules for ACEs and health care utilization in their 2019 or 2020 Behavioral Risk Factor Surveillance System survey. The analytic sample includes respondents with completed interviews (n = 45,820). ACEs were categorized into ordinal categories of 0, 1, 2, 3, or ≥4, and the prevalence of ACEs was summarized across 5 sources of health care: (1) employer-based or purchased plan, (2) Medicare, Medicaid, or other state programs, (3) TRICARE, Veterans Affairs, or military (ie, military-related health care), (4) Indian Health Service, or (5) some other source. All estimates were weighted to account for the complex sampling design. Across all health insurance types, at least 60% of individuals reported at least one ACE. The greatest prevalence of patients reporting ≥4 ACEs occurred for military-related health care (21.6%, 95% CI = 18.2-25.5) and Indian Health Service (45.4%, 95% CI = 22.6-70.3). ACEs are extremely common across sources of health care, but some health systems have greater proportions of patients with high ACE exposures. The unique strengths and challenges of specific health care systems need to be integrated into the debate about clinical ACEs screening.

Identifying and addressing health-related social needs: a Medicaid member perspective.

Multiple state and national health care organizations have invested in activities to screen for and address the health-related social needs (HRSNs) of their patients. However, patient perspectives concerning HRSN screening discussions and facilitated referrals to supports are largely unexplored. The main objectives of this study were to explore the ways in which Massachusetts Medicaid (MassHealth) members engage with their health care clinicians to discuss HRSNs, to identify common needs discussed, and to describe whether members feel these needs are being addressed by health care clinicians and staff. The study team performed a cross-sectional, qualitative research study that included in-depth, open-ended interviews with 44 adult MassHealth members. Interviews were conducted between June and October 2022. Interviews were recorded, transcribed, and systematically coded for analysis, and common themes were reported. The data collected for this study were part of a larger independent evaluation of MassHealth's 2017-2022 Section 1115 Demonstration that granted authority from CMS to implement health care delivery system reforms in Massachusetts. In this qualitative study of Medicaid members, some reportedly felt comfortable freely discussing all of their clinical and social needs with their health care clinicians, while others noted feelings of apprehension. Several members recalled being asked about their HRSNs in various clinical or community settings, while others did not. The majority of members endorsed having an unmet HRSN, including housing, nutrition, financial, or transportation issues, and many barriers to addressing these HRSNs were discussed. Finally, many members cited a preference for discussing HRSNs with community-based care coordinators and social workers at the community partner organizations rather than with their health care clinicians. Community-based care coordinators were lauded as essential facilitators in making the connection to necessary resources to help address HRSNs. Study results highlight an opportunity to increase the effectiveness of HRSN screening and referral practices within the health care setting through relationship building between Medicaid members and diverse interdisciplinary care teams that include staff such as community health workers. Continued investment in cross-sector partnerships, screening workflows, and patient-clinician relationships may contribute to establishing an environment in which members can comfortably discuss HRSNs and connect with needed services to improve their health.

Comparison of Analgesia Methods Through a Web Platform in Patients Undergoing Thoracic Surgery: Pilot Design, Implementation, and Validation Study.

Pain management is a vital and essential part of postoperative pectus excavatum (PE) care. Given the lack of an international consensus on guidelines for postoperative handling and evaluation, further research is necessary to compare the efficacy of existing pain management methods regarding pain relief, side effects, and long-term outcomes. In this context, the use of eHealth solutions for data mining can enhance data collection efficiency, reduce errors, and improve patient engagement. However, these digital health care frameworks are currently underused in the context of pain management for PE. This research is part of the broader Cryoanalgesia for Pain Management After Pectus Excavatum Repair (COPPER) study conducted by Giannina Gaslini Children's Hospital to address postoperative pain and recovery in PE patients treated with either standard thoracic epidural analgesia or cryoanalgesia, which is considered its innovative alternative approach. Specifically, this work is aimed at introducing a valuable tool for a comprehensive and quantitative comparison of the 2 analgesia strategies. The tool is a web and mobile app designed to facilitate data collection, management, and analysis of clinical data for pain assessment. The adopted approach involves a careful design based on clinician input, resulting in an intuitive app structure with 3 main screens. Digital surveys are borrowed from paper surveys, including medical history and preoperative, postoperative, and follow-up evaluations. XTENS 2.0 was used to manage the data, and Ionic facilitated cross-platform app development, ensuring secure and adaptable data handling. Preliminary analysis on a pilot cohort of 72 patients (36 treated with standard therapy and 36 treated with cryoanalgesia) indicated successful patient enrollment and balanced representation across treatment groups and genders. Notably, hospital stay was significantly shorter with cryoanalgesia than with standard therapy (Mann-Whitney-Wilcoxon 2-sided test with Bonferroni correction; P<.001; U statistic=287.5), validating its treatment efficacy. This work is a step toward modernizing health care through digital transformation and patient-centered models. The app shows promise in streamlined data collection and patient engagement, although improvements in multilingual support, data validation, and incentivization of questionnaire completion are warranted. Overall, this study highlights the potential of digital health solutions in revolutionizing health care practices, fostering patient involvement, and improving care quality.

Precision emergency medicine in health care delivery and access: Framework development and research priorities.

The integration of precision emergency medicine (EM) into our conceptualization of the health care system affords the opportunity to improve health care access, delivery, and outcomes for patients. As part of the Society for Academic Emergency Medicine (SAEM) Consensus Conference, we conducted a rapid literature review to characterize the current state of knowledge pertaining to the intersection of precision EM (defined as the use of big data and technology to deliver acute care for individual patients and their communities) with health care delivery and access. We then used our findings to develop a proposed conceptual model and research agenda. We completed a rapid review of the existing literature on the utilization of big data and technology to ensure and enhance access to acute/unscheduled care for individual patients and their communities. Literature searches were conducted using Ovid MEDLINE, Embase.com, Cochrane CENTRAL via Ovid, and ClinicalTrials.gov in January 2023. Using the identified articles, we determined core domains, developed a framework to guide the conceptualization of precision EM in health care delivery and access, and used these to identify a research agenda. Of the 815 studies identified for initial screening, 60 underwent full-text review by our technical expert panel and 21 were included in the evaluation. Core domains identified included expedited/personalized prehospital care, delivery to the right level of care, personalized ED care, alternatives to ED care/post-ED care, prediction tools for system readiness, and creation of equitable systems of care. A research agenda with four priority research questions was defined following identification of the core domains. Precision EM includes consideration of the health care delivery system as a mechanism for improving access to emergency care using data-driven strategies. This provides a unique opportunity to use data and technology to advance systems of care while also centering patients, communities, and equity in these advances.

Level of Depression among Health Students at Al-Quds University

Background Students' physical and psychological well-being, particularly with a focus on depression, is a significant public health concern. Objective This study aims to explore the level of depression among health students at Al-Quds University. Methods In this assay, a cross-sectional study using a self-reporting questionnaire was conducted. To evaluate the degree of depression among students, the Beck Depression Inventory (BDI-II) was used. The sample comprised 357 students from Al-Quds University in the West Bank. Results The results of the study showed that depression impacted 40.3% of the subjects. Of these, 32% experienced moderate to severe depression symptoms, 24% had thoughts or wishes related to suicide, and 6.7% believed that death was the answer to their issues. The findings demonstrated that there were statistically significant variations in depression based on gender, age, study year, study geographical area, place of residence, level of religiosity, and thoughts of death (p &lt; 0.05). Conclusion To protect their well-being, mental health professionals should advise students to seek assistance and therapy. University administrators should assist students in learning time management and stress-reduction strategies so they can finish their assignments and fulfill other course obligations.

An Overview of Tools and Technologies for Anxiety and Depression Management Using AI

This study aims to evaluate the utilization and effectiveness of artificial intelligence (AI) applications in managing symptoms of anxiety and depression. The primary objectives are to identify current AI tools, analyze their practicality and efficacy, and assess their potential benefits and risks. A comprehensive literature review was conducted using databases such as ScienceDirect, Google Scholar, PubMed, and ResearchGate, focusing on publications from the last five years. The search utilized keywords including “artificial intelligence”, “applications”, “mental health”, “anxiety”, “LLMs” and “depression”. Various AI tools, including chatbots, mobile applications, wearables, virtual reality settings, and large language models (LLMs), were examined and categorized based on their functions in mental health care. The findings indicate that AI applications, including LLMs, show significant promise in symptom management, offering accessible and personalized interventions that can complement traditional mental health treatments. Tools such as AI-driven chatbots, mobile apps, and LLMs have demonstrated efficacy in reducing symptoms of anxiety and depression, improving user engagement and mental health outcomes. LLMs, in particular, have shown potential in enhancing therapeutic chatbots, diagnostic tools, and personalized treatment plans by providing immediate support and resources, thus reducing the workload on mental health professionals. However, limitations include concerns over data privacy, the potential for overreliance on technology, and the need for human oversight to ensure comprehensive care. Ethical considerations, such as data security and the balance between AI and human interaction, were also addressed. The study concludes that while AI, including LLMs, has the potential to significantly aid mental health care, it should be used as a complement to, rather than a replacement for, human therapists. Future research should focus on enhancing data security measures, integrating AI tools with traditional therapeutic methods, and exploring the long-term effects of AI interventions on mental health. Further investigation is also needed to evaluate the effectiveness of AI applications across diverse populations and settings.

Breaking the Silence: Addressing Domestic Abuse in Mental Health Settings-Identification, Screening, and Responding.

Individuals experiencing domestic abuse (DA) struggle to disclose victimization, but as frequent users of mental health services, this is a pivotal setting for identification and addressing DA. This systematic review of 20 studies investigates DA identification, screening, and responses within mental health settings. Three databases were searched using these inclusion criteria: adults aged 18 and older accessing mental health services, samples comprising mental health professionals (or combination). No geographical restrictions were applied. All studies were peer-reviewed and published in English between January 2000 and December 2023. Studies had to incorporate screening for DA between (ex-)partners and/or response to disclosure within mental health settings. The findings revealed considerable variation in DA screening methods from direct screening tools to retrospective analyses of patient files. Professionals report barriers in identifying DA, including uncertainty about their role, time constraints, and the importance of building trust with service users. Nonetheless, many highlight the importance of routinely asking about DA. A small number of interventions have been effective in enhancing professionals' readiness to address DA, but it remains unclear what format of training is most effective. Service users report feelings of shame and fear of not being believed when disclosing DA, but are aided by therapeutic engagement and enhanced professional awareness. There is a lack of diverse inclusion in the research. In summary, there is considerable scope to develop good practice to support mental health professionals' ability to identify and respond to DA across assessment tool and training, but also in understanding what facilitates service users to disclose.

Shared decision-making in the treatment of bipolar disorder: findings from a nationwide naturalistic cohort study in everyday clinical practice.

Shared decision-making (SDM) is of increasing importance in mental health care, however, large studies on the effects of SDM in bipolar disorder (BD) are scarce. To gain insight into the relationships between SDM, guideline concordance of treatments in everyday practice, satisfaction with care, and medication adherence in BD. In a nationwide observational study on the treatment of BD, patients were asked questions about their involvement in treatment. These questions were clustered according to the three-talk model (TTM) for SDM, which involves team talk, option talk, and decision talk. A composite concordance score for multimodal treatments was made, and satisfaction with care (score 1 to 10) and medication adherence (DAI-10) were measured. 839 patients with BD from various outpatient treatment centers were included. Patients were highly involved in decision-making. In multiple regression, team talk was significantly positively associated with guideline concordance (b = 5.10, p = .045), and decision talk was positively associated with satisfaction with care (b = 0.82, p < .001) and medication adherence (b = 1.18, p = .003). Positive associations were found between SDM, guideline concordance, satisfaction with care, and medication adherence, suggesting that investing in these steps of the decision-making process together with patients and their significant others, will help to improve quality of care.

Current status of paternal mental health care in obstetric institutes in Japan.

SynopsisThere should be an urgent need to establish a mental health care system for partners in Japan.

Canadian Provincial and Territorial Correctional Worker Mental Health and Well-Being Study (CWMH): Navigating Practical and Unanticipated Methodological Challenges

Previous research assessing correctional worker (CW) mental health has seldom assessed for differences based on jurisdiction or diverse occupational categories. The current study was designed to provide a nuanced quantitative examination of mental health disorder prevalence and related problems among CWs and to qualitatively explore the varying social contexts surrounding CW well-being. We reflect on how we overcame unanticipated challenges and disruptions (e.g., technology, COVID-19 pandemic) throughout the design, launch, and analysis of the survey, and illustrate how our national study, driven by a rigorous methodological approach and collaborative research design, builds on the extant CW mental health and wellness literature.

A scoping review of health models for the community mental health needs of the United Arab Emirates: Nurturing the social determinants of mental health through social prescribing in the Middle East

Despite the growing interest in social prescribing the diversification of health and social care strategies to support the well-being of patients has remained entrenched with a focus on the hospital setting within the Middle East. The United Arab Emirates has commenced progressing community mental health care to lead changes in how care and treatment are delivered within the United Arab Emirates. The authors adopted the use of the framework of Arksey and O’Malley (2005) to provide a systematic approach to searching the literature and creating a comprehensive foundation to guide the review. This scoping review provides a better understanding of the compatibility, content and outcomes of a selection of health models whilst also allowing further clarification before empirical studies. The scoping review findings will inform the proposed use of social prescribing as an actionable approach to create a focus on the need to include and empower the social determinants of mental health. This article proposes an evidence-based health strategy that supports and enhances recent additions to national legislation on the inclusion of the Mental Health Law within the United Arab Emirates to meditate and prevent inequities in addressing the mental health needs of citizens and residents within the nation’s diverse communities.

Gender and Sexuality Awareness in Medical Education and Practice: Mixed Methods Study.

The integration of gender and sexuality awareness in health care is increasingly recognized as vital for patient outcomes. Despite this, there is a notable lack of comprehensive data on the current state of physicians' training and perceptions in these areas, leading to a gap in targeted educational interventions and optimal health care delivery. The study's aim was to explore the experiences and perceptions of attending and resident physicians regarding the inclusion of gender and sexuality content in medical school curricula and professional practice in Israel. This cross-sectional survey targeted a diverse group of physicians across various specializations and experience levels. Distributed through Israeli Medical Associations and professional networks, it included sections on experiences with gender and sexuality content, perceptions of knowledge, the impact of medical school curricula on professional capabilities, and views on integrating gender medicine in medical education. Descriptive and correlational analyses, along with gender-based and medical status-based comparisons, were used, complemented, and enhanced by qualitative analysis of participants' replies. The survey, encompassing 189 respondents, revealed low-to-moderate exposure to gender and sexuality content in medical school curricula, with a similar perception of preparedness. A need for more comprehensive training was widely recognized. The majority valued training in these areas for enhancing professional capabilities, identifying 10 essential gender-related knowledge areas. The preference for integrating gender medicine throughout medical education was significant. Gender-based analysis indicated variations in exposure and perceptions. The study highlights a crucial need for the inclusion of gender and sexuality awareness in medical education and practice. It suggests the necessity for curriculum development, targeted training programs, policy advocacy, mentorship initiatives, and research to evaluate the effectiveness of these interventions. The findings serve as a foundation for future directions in medical education, aiming for a more inclusive, aware, and prepared medical workforce.

Terez Shea-Donohue: Optimism helps, and confidence in your work is critical.

Terez Shea-Donohue is the program director of the Division of Digestive Diseases and Nutrition at the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health. As a program director, Terez supports basic and translational research related to neurogastroenterology, gastrointestinal (GI), and GI epithelial barrier function. We spoke to Terez about the transition from active research to a predominantly administrative job, the need for life-long mentorship, and the continued sex/gender bias in health care.