Health Landscape Research Articles

Psychometric Validation of the Brief Outcome Survey: A Transdiagnostic Tool for Measurement-Based Care

ABSTRACT Background Measurement-based care (MBC) is a fundamental component of evidence-based psychotherapy that has the potential to improve the landscape of behavioral and mental health (BMH) care for youth and families. Objective The purpose of this study was to assess the reliability, validity, and clinical utility of the Brief Outcome Survey (BOS) when used as part of a comprehensive MBC approach during a course of evidence-based psychotherapy. Method The BOS is a three-item transdiagnostic tool designed to measure the impact of youth’s symptoms/conditions on functioning. Demographic and clinical data were obtained via a retrospective chart review of 75,000+ unique patient encounters over a period of 15 years. Internal consistency, test re-test reliability, construct validity, validity generalization, and clinical utility were assessed. Results Data were analyzed from 8,665 youth (Mage = 11.8 years; 57.2% biological female). The internal consistency coefficient (e.g. Cronbach’s alpha) ranged from 0.80–0.83 (first and second BOS administration). The single measure intraclass correlation coefficient was 0.66 (p < .001). Intraclass correlations between the BOS and the PHQ-9, GAD-7, and CY-BOCS were moderate. No significant differences were found by age. Cronbach’s alphas for the age groups ranged from 0.79–0.82. BOS scores were higher at baseline for biological females compared to males, t(8235) = 2.29, p < .001. Similarly, BOS scores were higher at baseline for youth receiving public versus private health insurance benefits, t(8032) = 2.29, p < .05. A one-way ANOVA revealed significant differences in BOS scores by diagnosis group and Cronbach’s alpha for the BOS was above 0.80 across all five diagnosis groups analyzed. Conclusions The BOS demonstrated evidence of strong psychometric properties and clinical utility, as a session-by-session transdiagnostic MBC tool.

Association between GATM gene polymorphism and progression of chronic kidney disease: a mitochondrial related genome-wide Mendelian randomization study

Chronic Kidney Disease (CKD) stands as a substantial challenge within the global health landscape. The elevated metabolic demands essential for sustaining normal kidney function have propelled an increasing interest in unraveling the intricate relationship between mitochondrial dysfunction and CKD. However, the authentic causal relationship between these two factors remains to be conclusively elucidated. This study endeavors to address this knowledge gap through the Mendelian Randomization (MR) method. We utilized large-scale QTL datasets (including 31,684 eQTLs samples, 1980 mQTLs samples, and 35,559 pQTLs samples) to precisely identify key genes related to mitochondrial function as exposure factors. Subsequently, we employed GWAS datasets (comprising 480,698 CKD samples and 1,004,040 eGFRcrea samples) as outcome factors. Through a comprehensive multi-level analysis (encompassing expression, methylation, and protein quantification loci), we evaluated the causal impact of these genes on CKD and estimated glomerular filtration rate (eGFR). The integration and validation of diverse genetic data, complemented by the application of co-localization analysis, bi-directional MR analysis, and various MR methods, notably including inverse variance weighted, have collectively strengthened our confidence in the robustness of these findings. Lastly, we validate the outcomes through examination in human RNA sequencing datasets encompassing various subtypes of CKD. This study unveils significant associations between the glycine amidinotransferase (GATM) and CKD, as well as eGFR. Notably, an augmentation in GATM gene and protein expression corresponds to a diminished risk of CKD, whereas distinct methylation patterns imply an increased risk. Furthermore, a discernible reduction in GATM expression is observed across diverse pathological subtypes of CKD, exhibiting a noteworthy positive correlation with GFR. These findings establish a causal relationship between GATM and CKD, thereby highlighting its potential as a therapeutic target. This insight lays the foundation for the development of potential therapeutic interventions for CKD, presenting substantial clinical promise.

General practitioners’ perspectives on data linkage in Australian general practice

ObjectiveIn the rapidly evolving landscape of digital health, data sharing using primary health care records has gained prominence. Linking primary care data with other administrative health datasets has the potential to provide a whole-of-life perspective on the patient journey and improve health outcomes. This study aimed to gain insight into Australian General Practitioners' (GPs) perspectives on the use of general practice health records for research and data linkage. ApproachThe study employed a mixed-methods approach. We conducted semi-structured interviews with GPs who had little experience of data sharing, focusing on understanding the challenges and opportunities that increased data sharing poses. We also conducted a three-round modified Delphi study with GPs with experience of and interest in research and data sharing to refine recommendations for data sharing using general practice data. ResultsIn this paper we describe the findings from both arms of the study and compare their recommendations to contribute to a nuanced understanding of general practitioners’ views on data linkage and sharing in general practice. Conclusions and ImplicationsBridging the knowledge gap between novices and expert practitioners, the findings will inform policies, practices, and initiatives to address the ethical, legal and social implications of data sharing in general practice settings in Australia.

Challenges Experienced by Health Care Workers During Service Delivery in the Geographically Challenging Terrains of North-East India: Study Involving a Thematic Analysis.

The public health landscape in North-East India is marked by the foundational principle of equitable health care provision, a critical endeavor considering the region's intricate geography and proximity to international borders. Health care workers grapple with challenges, such as treacherous routes, limited infrastructure, and diverse cultural nuances, when delivering essential medical services. Despite improvements since the National Rural Health Mission in 2005, challenges persist, prompting a study to identify health care workers' challenges and alternative strategies in Manipur and Nagaland. This study aims to document the challenges experienced by health care workers during service delivery in the geographically challenging terrains of North-East India. This study is part of the i-DRONE (Indian Council of Medical Research's Drone Response and Outreach for North East) project, which aims to assess the feasibility of drone-mediated vaccine and medical delivery. This study addresses the secondary objective of the i-DRONE project. In-depth interviews of 29 health care workers were conducted using semistructured questionnaires in 5 districts (Mokokchung and Tuensang in Nagaland, and Imphal West, Bishnupur, and Churachandpur in Manipur). Nineteen health facilities, including primary health care centers, community health centers, and district hospitals, were selected. The study considered all levels of health care professionals who were in active employment for the past 6 months without a significant vacation and those who were engaged in ground-level implementation, policy, and maintenance activities. Data were recorded, transcribed, and translated, and subsequently, codes, themes, and subthemes were developed using NVivo 14 (QSR International) for thematic analysis. Five themes were generated from the data: (1) general challenges (challenges due to being an international borderline district, human resource constraints, logistical challenges for medical supply, infrastructural issues, and transportation challenges); (2) challenges during the COVID-19 pandemic (increased workload, lack of diagnostic centers, mental health challenges and family issues, routine health care facilities affected, stigma and fear of infection, and vaccine hesitancy and misinformation); (3) perception and awareness regarding COVID-19 vaccination; (4) alternative actions or strategies adopted by health care workers to address the challenges; and (5) suggestions provided by health care workers. Health care workers demonstrated adaptability by overcoming these challenges and provided suggestions for addressing these challenges in the future. Health care workers in Manipur and Nagaland have shown remarkable resilience in the face of numerous challenges exacerbated by the pandemic. Despite infrastructural limitations, communication barriers, and inadequate medical supply distribution in remote areas, they have demonstrated adaptability through innovative solutions like efficient data management, vaccination awareness campaigns, and leveraging technology for improved care delivery. The findings are pertinent for not only health care practitioners and policymakers but also the broader scientific and public health communities. However, the findings may have limited generalizability beyond Manipur and Nagaland.

Dancing Well with Mindfulness

ABSTRACT Mindfulness has recently flooded the health and wellness social media landscape. With roots in Buddhism, mindfulness is a skill of attention involving focusing on the present moment with curiosity and nonjudgment. Mindfulness practices, including meditation, have many benefits for busy young dance students, who often face a unique combination of stresses around social comparison, self-doubt, body image issues, performance anxiety, and increasingly overscheduled lifestyles. Many may lack an understanding of mindfulness or misperceive its components. Persistent stigmas around mental health may also keep students from openly experimenting with mindfulness practices. The purpose of this article is to concisely define mindfulness for dance students, its potential benefits, and considerations for how mindful practices, particularly meditation, can be integrated into dance students’ lives.

Exploring the health and wellbeing landscape at a third level institution

In line with the Healthy Campus framework, this study explored the health, health literacy, and wellbeing landscape for students at an Irish third level institution using a participatory action research approach with the aim to identify potential need, and inform future health promotion action(s). Methods. This mixed-method study involved three phases; (1) a scoping review to audit what activities are currently available to support student health and wellbeing on campus, (2) assessment of students’ current health literacy using the Health Literacy Questionnaire, analysed using Cohen's d to investigate the magnitude of differences between student groups, (3) qualitative discussions with university stakeholders, analysed using reflexive thematic analysis, to provide greater understanding and context to the results of the previous phases. Results. The scoping review identified 151 activities on campus to support students’ holistic health, with the majority focused on individual support. Students’ health literacy scores were in line with the broader literature. A number of themes were identified within the qualitative data; i) the need for an ‘opt-in’ approach to support a health-integrated culture, ii) barriers and facilitators to health information, iii) the importance of ‘walking the walk’, iv) the specific university experience of 2022 as society emerged from Covid-19, and v) factors that influence student engagement. Conclusion. Insight into the participatory action approach undertaken in this study may be useful to inform other higher education institutions (HEIs) interested in undertaking similar work. Thorough description of the findings may also allow these to be transferred to other contexts. The findings of this study can help inform and direct the current university's, and potentially other HEIs, future actions in regards to enhancing the health and wellbeing of its stakeholders. To foster an authentic ‘Healthy Campus’, a whole-university approach is needed HEIs, supported by open dialogue between stakeholders and senior leadership commitment.

Establish an Effective Framework for Accurate Prediction of Employee Mental Health for Public Health

Employee mental health is a primary feature of workplace efficiency and overall public health. With rising mental health problems impaired by variables contains stress, burnout, and isolation, there is an urgent need for effective prediction models that can identify at-risk employees. This study proposes a robust predictive model utilizing dynamic lion optimized VGG16 (DLO-VGG16), for employee mental health prediction represents a significant advancement in public healthcare. The use of these sophisticated prediction models can improve medical results for groups at risk and is essential in the battle against heart disease. Employee’s mental health data collected from Kaggle website. The data preprocessing phase employed Z-score normalization to standardize input values, thereby addressing data inconsistencies and errors. The Sequential Forward Floating Search Algorithm (SFFS) was utilized for extracting the employee’s mental health. This enhanced heuristic search method begins with an empty feature set, incrementally adding features until the optimal set is identified. The proposed DLO-VGG16 framework to balance accuracy, ROC curve, and f1-score ensuring reliable detection and forecasting of employee mental health issues, thereby contributing to the broader public health landscape.

Artificial intelligence-enabled profiling of overlapping retinal disease distribution for ocular diagnosis

&lt;p&gt;Eyesight, an invaluable gift profoundly impacts our daily lives. In a rapidly evolving healthcare landscape, the preservation and enhancement of ocular health stand as critical objectives. This research endeavors to analyze the two retinal fundus multi-disease image datasets (RFMiD) one containing 3200 images and the other containing 860 fundus images. The primary objective of this study is to scrutinize these datasets, discern variations in the frequency of labeled diseases within and across them, and explore common combinations of labels. These findings hold important implications for the field of retinal image analysis, as they provide valuable insights into the distribution and co-occurrence of defects.&lt;/p&gt;

Mental health landscape in Kosova from 2017 to 2022: A retrospective study of antidepressant and anxiolytic market trends and the impact of COVID-19

ObjectivesThis study explores the mental health situation in Kosova and the impact of the COVID-19 pandemic. MethodsMarketed quantities of antidepressants (N06A) and anxiolytics (N05B) from 2017 to 2022 were analyzed using the Anatomical Therapeutic Chemical/Defined Daily Doses (ATC/DDD) methodology. Caution is advised as these quantities may not directly reflect patient usage and could include uses for conditions outside their primary indications. ResultsPrior to the pandemic, antidepressant quantities remained relatively stable, but rose from 6.8 DDD/1000 inhabitants/day in 2019 to 9.7 in 2020 and 12.4 in 2021, before returning to pre-pandemic levels of 6.8 DDD in 2022. Over 80 % of these were selective serotonin reuptake inhibitors. Meanwhile, anxiolytic quantities initially decreased from 17.4 DDD in 2017 to 9.9 in 2019, then rebounded to 17.9 DDD in 2020. Notably, alprazolam usage surged from 2.9 in 2017 to 6.9 in 2021, subsequently dropping to 2.0 in 2022. ConclusionsThe volatile trends in medication quantities during the pandemic suggest a fragile mental health landscape in Kosova—a developing, post-conflict country with a youthful population—underscoring the need for proactive interventions in similar contexts globally.

The Medicine Revolution Through Artificial Intelligence: Ethical Challenges of Machine Learning Algorithms in Decision-Making.

The integration of artificial intelligence (AI) and its autonomous learning processes (or machine learning) in medicine has revolutionized the global health landscape, providing faster and more accurate diagnoses, personalization of medical treatment, and efficient management of clinical information. However, this transformation is not without ethical challenges, which require a comprehensive and responsible approach. There are many fields where AI and medicine intersect, such as health education, patient-doctor interface, data management, diagnosis, intervention, and decision-making processes. For some of these fields, there are some guidelines to regulate them. AI has numerous applications in medicine, including medical imaging analysis, diagnosis, predictive analytics for patient outcomes, drug discovery and development, virtual health assistants, and remote patient monitoring. It is also used in robotic surgery, clinical decision support systems, AI-powered chatbots for triage, administrative workflow automation, and treatment recommendations. Despite numerous applications, there are several problems related to the use of AI identified in the literature in general and in medicine in particular. These problems are data privacy and security, bias and discrimination, lack of transparency (Black Box Problem), integration with existing systems, cost and accessibility disparities, risk of overconfidence in AI, technical limitations, accountability for AI errors, algorithmic interpretability, data standardization issues, unemployment, and challenges in clinical validation. Of the various problems already identified, the most worrying are data bias, the black box phenomenon, questions about data privacy, responsibility for decision-making, security issues for the human species, and technological unemployment. There are still several ethical problems associated with the use of AI autonomous learning algorithms, namely epistemic, normative, and comprehensive ethical problems (overarching). Addressing all these issues is crucial to ensure that the use of AI in healthcare is implemented ethically and responsibly, providing benefits to populations without compromising fundamental values. Ongoing dialogue between healthcare providers and the industry, the establishment of ethical guidelines and regulations, and considering not only current ethical dilemmas but also future perspectives are fundamental points for the application of AI to medical practice. The purpose of this review is to discuss the ethical issues of AI algorithms used mainly in data management, diagnosis, intervention, and decision-making processes.

Learning from the Experience of COVID-19 Pandemic in Tanzania

The COVID-19 pandemic has profoundly influenced social, economic, and public health landscapes globally, and Tanzania is no exception. This article examines the moral implications its moral response to the crisis and what the government should do for future pandemics.It explores the multifaceted moral responses elicited by the COVID-19 pandemic in Tanzania, emphasizing the origin, meaning, and significance of human life within the context of both a culture of life and a culture of death. It delves into the stewardship of life, analyzing the moral responsibilities individuals and societies hold in safeguarding health and well-being. The article starkly highlighted the Covid 19 as one of the many causes of deaths in Tanzania and Africa at large, and other causes like those that are manmade like abortion. Hence presenting a complex picture that intertwines healthcare access to pandemics, economic stability, and social cohesion.The impacts of lockdowns are scrutinized, revealing the intricate balance between public health measures and their socioeconomic repercussions, particularly on vulnerable populations in Tanzania. The article also addresses the death tolls, the puzzling nature, effectiveness of vaccine rollouts, and the perceived worth of life amid such crises. Through these discussions, the narrative underscores the fear of death that has paralyzed many, stifling the courage to live fully.Ultimately, this reflection seeks to project a message of hope beyond the grave, urging an understanding of life’s intrinsic value and the importance of resilience in such times of crisis. By learning from the COVID-19 experience, Tanzania and Africa can cultivate a more profound appreciation for life, encouraging proactive measures to preserve health with an African approach and vitality in future crises. This moral examination invokes a collective call to transcend fear and embrace a renewed commitment to life, fostering a culture anchored in hope and human dignity.

Digital Health Applications (DiGAs) on a Fast Track: Insights From a Data-Driven Analysis of Prescribable Digital Therapeutics in Germany From 2020 to Mid-2024.

This study aimed to analyze the rapidly evolving ecosystem of digital health applications (Digitale Gesundheitsanwendung; DiGAs) in Germany, spurred by the 2019 Digital Healthcare Act. With over 73 million people in Germany now having access to DiGAs, these prescribable digital health apps and web-based applications represent a substantial stride in health care modernization, supporting both patients and health care providers with digital solutions for disease management and care improvement. Through a data-driven approach, this research aimed to unpack the complexities of DiGA market dynamics, economic factors, and clinical evidence, offering insights into their impact over the past years. The analysis draws from a range of public data sources, including the DiGA directory, statutory health insurance reports, app store feedback, and clinical study results. As of July 1, 2024, there are 56 DiGAs listed by the Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte), divided into 35 permanently and 21 preliminarily listed applications. Our findings reveal that a majority of DiGAs extend beyond the intended 1-year period to achieve permanent listing, reflecting the extensive effort required to demonstrate clinical efficacy. Economic analysis uncovered a dynamic pricing landscape, with initial prices ranging from approximately €200 to €700 (€1=US $1.07), averaging at a median of €514 for a 3-month DiGA prescription. Following negotiations or arbitration board decisions, prices typically see a 50% reduction, settling at a median of €221. Prescription data offer valuable insights into DiGA acceptance, with total prescriptions jumping from around 41,000 in the first period to 209,000 in the latest reporting period. The analysis of the top 15 DiGAs, representing 82% of the total prescriptions, shows that these best-performing apps receive from a minimum of 8 to a maximum of 77 daily prescriptions, with native apps and early market entrants achieving higher rates. Clinical evidence from all 35 permanently listed DiGAs indicates a uniform preference for randomized controlled trials to validate primary end points, with no noteworthy use of alternative study designs encouraged in the Digital Healthcare Act and related regulations. Moreover, all evaluated DiGAs focused on medical benefits, with health status improvement as a key end point, suggesting an underuse of patient-relevant structural and procedural improvement in demonstrating health care impact. This study highlights the growth and challenges within the DiGA sector, suggesting areas for future research, such as the exploration of new study designs and the potential impact of patient-relevant structural and procedural improvements. For DiGA manufacturers, the strategic advantage of early market entry is emphasized. Overall, this paper underscores the evolving landscape of digital health, advocating for a nuanced understanding of digital health technology integration in Germany and beyond.

The Health Landscape of the Kingdom of Croatia and Slavonia and the Millennium Exhibition in Budapest in 1896

The Health Landscape of the Kingdom of Croatia and Slavonia and the Millennium Exhibition in Budapest in 1896

Pakistan’s path to universal health coverage: national and regional insights

BackgroundUniversal Health Coverage (UHC) is a common health policy objective outlined in the Sustainable Development Goals. With provincial governments taking the initiative, Pakistan has implemented and extended UHC program amid a complex public health landscape. In this context, we assess Pakistan’s progress toward achieving UHC at the national and subnational level.MethodsWe use data from the Demographic and Health Surveys and the Household Integrated Economic Survey to construct a UHC index at the national and subnational level for 2007, 2013, and 2018. Furthermore, we use Concentration Index (CI) and CI decomposition methodologies to assess the primary drivers of inequality in accessing medical services. Logistic regression and Sartori’s two-step model are applied to examine the key determinants of catastrophic health expenditure (CHE).ResultsOur analysis underscores Pakistan’s steady progress toward UHC, while revealing significant provincial disparities in UHC progress. Provinces with lower poverty rate achieve higher UHC index, which highlights the synergy of poverty alleviation and UHC expansion. Among the examined indicators, child immunization remains a key weakness that one third of the children are not fully vaccinated and one sixth of these not-fully-vaccinated children have never received any vaccination. Socioeconomic status emerges as a main contributor to disparities in accessing medical services, albeit with a declining trend over time. Household socioeconomic status is negatively correlated with CHE incidence, indicating that wealthier households are less susceptible to CHE. For individuals experiencing CHE, medicine expenditure takes the highest share of their health spending, registering a staggering 70% in 2018.ConclusionPakistan’s progress toward UHC aligns closely with its economic development trajectory and policy efforts in expanding UHC program. However, economic underdevelopment and provincial disparities persist as significant hurdles on Pakistan’s journey toward UHC. We suggest continued efforts in UHC program expansion with a focus on policy consistency and fiscal support, combined with targeted interventions to alleviate poverty in the underdeveloped provinces.

Exploring Depression: Community Perceptions and Social Influences in Southeast, Nigeria

Despite increasing global awareness of mental health issues, understanding the perception and influences of depression remains limited within specific cultural contexts such as Southeast Nigeria. This study investigates how residents define and perceive depression, exploring socio-cultural, demographic, and religious factors that shape these perceptions. In-depth interviews were conducted with twenty participants (10 males and 10 females) from Anaocha and Idemili South Local Government Areas in Anambra State. Thematic analysis revealed that depression is perceived as a profound emotional and psychological burden, characterized by sadness, hopelessness, and isolation. Influential socio-cultural factors included beliefs in supernatural forces, traditional healing practices, gender norms, educational levels, and religious/spiritual practices. Stigma emerged as a significant barrier to help-seeking, with cultural expectations of resilience and reliance on religious coping mechanisms complicating the mental health landscape. The study proposes resilience-based interventions to enhance help-seeking behavior and support individuals with internalized stigma. These interventions by professional service providers such as social workers will increase mental health literacy, reduce stigma, and promote community resilience. Future research could also prioritize comparative studies across different regions to examine regional variations in depression perceptions and inform tailored interventions in social service delivery that effectively address local socio-cultural contexts, thereby advancing social research.

Expanded roles of community health workers to sustain malaria services in the Asia-Pacific: A landscaping survey.

Malaria Community Health Workers (CHWs) in the Greater Mekong Subregion (GMS) are an important component of malaria elimination efforts. As malaria declines with intensified efforts to eliminate by 2030, expanding their roles beyond malaria could help to sustain funding and provision of malaria services at the community level. Evidence of how programmes have implemented and managed CHWs performing both malaria and non-malaria roles across the Asia-Pacific region can provide insight into the viability of this strategy. A short survey was distributed to national malaria programmes and implementing organizations in the Asia-Pacific region in 2021-2022. The survey identified CHW programmes in the region, and collected information on malaria and non-malarial services provided by CHWs, characteristics of each identified programme, and the impact of COVID-19 on these programmes. 35 survey responses identified 28 programmes in 14 countries. The most frequently reported services provided by malaria CHWs were health promotion and education for malaria (13/14 countries) and other diseases (11/14); and COVID-19 related activities (10/14). Most programmes were financed wholly through donor funding (18/28 programmes), or donor plus government funding (6/28). Of 21 programmes which performed programme evaluation, only 2 evaluated their impacts on diseases beyond malaria. Declining donor funding, and COVID-19 related travel and activity restrictions were identified as implementation challenges. CHWs across the Asia Pacific provide a range of health services with malaria and are resilient under changing public health landscapes such as the COVID-19 pandemic. Further investigation into the impact of additional roles on malaria CHW performance and targeted health outcomes is needed to verify the benefits and feasibility of role expansion. As the GMS approaches elimination, and funding declines, verifying the cost effectiveness of malaria CHW programmes will be vital to persuade donors and countries to invest in malaria CHWs to sustain malaria services, and strengthen community-based health care.

Case study: proXN

Libbie Wallace discusses proXN's rapid impact and promising future in the competitive skin health landscape

Unveiling the Unseen: Exploring the Mental Health Realities of Black Men

ABSTRACT This article provides an overview of the multifaceted landscape of mental health among Black men, shedding light on the unique challenges they face. Black men in the United States confront a complex interplay of sociocultural, historical, and economic factors that influence their mental well-being. This article synthesizes existing research and explores the disparities in mental health outcomes among Black men, delving into the stigmatization of mental health within this community. It also examines the role of systemic racism, socioeconomic factors, and cultural norms in shaping the mental health experiences of Black men. The abstract highlights the importance of culturally competent and community-driven interventions, offering insights into potential strategies to address these disparities. By recognizing the specific issues affecting mental health among Black men, this research contributes to the broader discourse on mental health equity. It underscores the imperative of tailored approaches to support the well-being of this demographic.

Pulmonary embolism and deep venous thrombosis in China.

The Annual Report on Cardiovascular Health and Diseases in China (2022) intricate landscape of cardiovascular health in China. In connection with the previous section, this eighth section of the report offers a comprehensive analysis of pulmonary embolism and deep venous thrombosis. In recent years, research in the field of pulmonary vessel in China has made great progress. A number of nationwide multi-center registry research results have filled the gaps in the epidemiology, diagnosis and treatment of pulmonary hypertension and venous thromboembolism. Different types of pulmonary hypertension still need attention to the identification of risk factors and/or risk stratification, and venous thromboembolism needs attention in the prevention and the overall management inside and outside hospital. In the future, we look forward to the publication of more high-quality research in China, which could be able to improve relevant guidelines for pulmonary vascular diseases both domestically and internationally.

One Health Landscape in Zimbabwe: Current Status, Challenges and Opportunities for Institutionalisation

One Health Landscape in Zimbabwe: Current Status, Challenges and Opportunities for Institutionalisation