Illuminating Perspectives: Navigating Eye Care Access in Sub-Saharan Africa Through the Social Determinants of Health.

Ensuring access to proper eye health services is not only a fundamental human right but also crucial for preserving an individual's quality of life, preventing blindness, and promoting overall well-being. This is especially true in low-income countries like Sub-Saharan Africa (SSA) where recognizing the intricate relationship between access to healthcare and social determinants of health (SDOH ) is crucial to addressing health disparities. The goal of this study was to elucidate and highlight not only the barriers millions face in obtaining eye care but also pave the way for interventions and policies aimed at creating equitable access across diverse populations. To do this, a scoping review was conducted across the Cumulated Index to Nursing and Allied Health Literature (CINAHL), Embase, and PubMed databases for studies meeting the search terms and inclusion criteria. The results show that intervention strategies that increase vision care must extend beyond the healthcare sector to address the multifaceted challenges. Collaborating with stakeholders involved in addressing broader livelihood issues, such as food security, education, and SDOH, becomes imperative to ensure comprehensive and sustainable improvements in vision care accessibility in SSA.

European survey: citizens' attitudes on personalized medicine, genetic testing and health data sharing - design and delivery.

In the transformative landscape of healthcare, personalized medicine emerges as a pivotal shift, harnessing genetic, environmental and lifestyle data to tailor medical treatments for enhanced outcomes and cost efficiency. Central to its success is public engagement and consent to share health data amidst rising data privacy concerns. To investigate European public opinion on this paradigm, we executed a comprehensive cross-sectional survey to capture the general public's views on personalized medicine and data-sharing modalities, including digital tools and electronic records. The survey was distributed in eight major European Union countries and the results aim at guiding future policymaking and trust-building measures for secure health data exchange. This article delineates our methodological approach, whereby survey findings will be expounded in subsequent publications.

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Examining the Impact of Social Support on Psychological Well-Being Among Canadian Individuals With COPD: Implications for Government Policies.

Chronic obstructive pulmonary disease (COPD) is a significant respiratory disease and is globally ranked as the third leading cause of death. In Canada, the direct healthcare costs associated with COPD are estimated to be $1.5 billion annually. This study utilized quantitative analyses to examine the impact of specific dimensions of social support, namely, guidance, reliable alliance, reassurance of worth, attachment, and social integration within a clinically identified population of individuals with COPD who exhibit symptoms of depression and anxiety. The study was based on the Social Provisions Theory and stress-buffering hypothesis, utilizing large-scale population data from Statistics Canada's 2012 Canadian Community Health Survey (CCHS) Mental Health component. On a national scale, individuals were more likely to report a decreased sense of belonging to a group of friends (social integration) and struggle to depend on others in stressful times (reliable alliance) while experiencing symptoms of anxiety and depression. These findings underscore the potential benefits of integrating peer support, socialization initiatives, and caregiver training into clinical programs designed for individuals with COPD.

Future Possible Changes in Medically Underserved Areas in Japan: A Geographic Information System-Based Simulation Study.

BACKGROUND: A decrease in populations could affect healthcare access and systems, particularly in medically underserved areas (MUAs) where depopulation is becoming more prevalent. This study aimed to simulate the future population and land areas of MUAs in Japan. METHODS: This study covered 380,948 1 km meshes, 87,942 clinics, and 8354 hospitals throughout Japan as of 2020. The areas outside a 4 km radius of medical institutions were considered as MUAs, based on the measure of areas in the current Japanese Medical Care Act. Based on the population estimate for a 1 km mesh, the population of mesh numbers of MUAs was predicted for every 10 years from 2020 to 2050 using geographic information system analysis. If the population within a 4 km radius from a medical institution fell below 1000, the institution was operationally assumed to be closed. RESULTS: The number of MUAs was predicted to decrease from 964,310 (0.77% of the total Japanese population) in 2020 to 763,410 (0.75%) by 2050. By 2050, 48,105 meshes (13% of the total meshes in Japan) were predicted to be new MUAs, indicating a 31% increase in MUAs from 2020 to 2050. By 2050, 1601 medical institutions were tentatively estimated to be in close proximity. CONCLUSIONS: In Japan, the population of MUAs will decrease, while the land area of MUAs will increase. Such changes may reform rural healthcare policy and systems.

Spatial Interaction Analysis of Infectious Disease Import and Export between Regions.

Human travel plays a crucial role in the spread of infectious disease between regions. Travel of infected individuals from one region to another can transport a virus to places that were previously unaffected or may accelerate the spread of disease in places where the disease is not yet well established. We develop and apply models and metrics to analyze the role of inter-regional travel relative to the spread of disease, drawing from data on COVID-19 in the United States. To better understand how transportation affects disease transmission, we established a multi-regional time-varying compartmental disease model with spatial interaction. The compartmental model was integrated with statistical estimates of travel between regions. From the integrated model, we derived a transmission import index to assess the risk of COVID-19 transmission between states. Based on the index, we determined states with high risk for disease spreading to other states at the scale of months, and we analyzed how the index changed over time during 2020. Our model provides a tool for policymakers to evaluate the influence of travel between regions on disease transmission in support of strategies for epidemic control.

Real-world service costs for neovascular-AMD clinics in the United Kingdom: structured literature review and scenario analysis.

OBJECTIVE: Current cost-effectiveness analyses (CEA) emphasize drug costs as the differentiator between NICE recommended anti-VEGF treatments but may neglect real-world non-drug costs of running nAMD services in the UK. To address this, this study identified real-world non-drug service cost items relevant to UK NHS nAMD clinics, including costs arising from operational strain (demand exceeding capacity). METHODS: Cost items were identified by a structured literature review of peer-reviewed and grey literature, and an expert panel of 10 UK-based ophthalmologists with relevance to real-world practice. These items underwent meta-synthesis and were then determined in a consensus exercise. RESULTS: Of 237 cost items identified, 217 (91.6%) met the consensus threshold of >0.51 and were included in the nAMD Service Non-Drug Cost Instrument (nAS). Sensitivity of cost items taken from UK Health Technology Assessment (HTA) using the nAS as the reference standard was low (HTAmin: 1.84%, 95% CI 0.50-4.65%; HTAmax: 70.51%, 95% CI 63.96-76.49%). False negative rates showed variable likelihood of misclassifying a service by cost burden depending on prevalence. Scenario analysis using cost magnitudes estimated annual per-patient clinic cost at £845 (within capacity) to £13,960 (under strain) compared to an HTAmin estimate of £210. Accounting for cost of strain under an assumed 50% increase in health resource utilization influenced cost-effectiveness in a hypothetical genericisation scenario. CONCLUSION: Findings suggested that HTA underestimates UK NHS nAMD clinic cost burden with cost of strain contributing substantial additional unmeasured expense with impact on CEA. Given potential undertreatment due to strain, durability is suggested as one of the relevant factors in CEA of nAMD anti-VEGF treatments due to robustness under limited capacity conditions affecting UK ophthalmology services.

When considering how well treatments work versus how much they cost, the focus is usually only on the price of the medicine itself. However, other real-world costs exist. In the UK, when treating certain eye problems such as neovascular age-related macular degeneration (nAMD), there are additional expenses related to running clinics and managing treatments that often go unnoticed. To get a better understanding of these hidden costs, the study examined factors like clinic workload and the extra expenses that come with it. Ten eye doctors in the UK were consulted for their expert opinions and numerous research papers were reviewed to identify these additional costs. The study grouped different costs in a tool called the nAMD Service Non-Drug Cost Instrument (nAS). When the findings of the nAS tool were compared to the usual methods of calculating costs, it was found that the conventional approach overlooked many of the actual expenses. Busy clinics face unique challenges, such as higher operational costs associated with staffing for extended hours, emergency appointments, extended waiting times and the potential to miss optimal treatment windows. This can lead to disease progression and the onset of comorbidities, which require more complex and costly treatments. Recognizing these real costs is crucial when making decisions about treatments, especially when treatments require more frequent visits to eye clinics. This study emphasizes the importance of considering all expenses, not just the obvious ones like medication and doctor visits when determining the most effective way to manage eye conditions like nAMD in the UK.

Integrating family caregivers in older adults' hospital stays: a needed cultural shift.

OBJECTIVES: This study aimed to examine perceived barriers and facilitators to caregiver inclusion in the hospital care of older adult family members or friends through the perspectives of (1) hospitalized older adults, (2) caregivers of a hospitalized older adult, (3) healthcare clinicians, and (4) policymakers. METHODS: This qualitative descriptive exploratory study utilized semi-structured interviews with N = 24 participants and was analyzed using a framework method. RESULTS: Eight codes arose that were categorized into four domains guided by the Social Ecological Model. Individual-level factors were determined both for the caregiver and for the clinician. Relationship-level factors were revealed pertaining to communication style and method. Hospital-level factors included hospital environment and resources. Societal-level factors included healthcare climate and policies. DISCUSSION: Findings indicated that hospital workflows and policies inadequately support family caregivers. This study highlights potential solutions to caregivers' integration into hospital workflows.

Assessing interstate racial and socioeconomic disparities in newborn screening policies in the United States.

Introduction: This paper explores racial and socioeconomic disparities in newborn screening (NBS) policies across the United States. While inter-state inequality in healthcare policies is often considered a meaningful source of systemic inequity in healthcare outcomes, to the best of our knowledge, no research has explored racial and socioeconomic disparities in newborn screening policies based on state of residence. Methods: We investigate these disparities by calculating weighted average exposure to specific NBS tests by racial and socioeconomic group. We additionally estimate count models of the number (and type) of NBS conditions screened for by state racial and socioeconomic composition. Results: Adding to the knowledge base that social determinants of health and health disparities are linked, our analysis surprisingly reveals little evidence of substantial inter-state inequity in newborn screenings along racial and socioeconomic lines. Discussion: While there is substantial nationwide racial and socioeconomic inequity in terms of infant health, the distribution of state-level policies does not appear to be structured in a manner to be a driver of these disparities. Our findings suggest that efforts to reduce inequities in outcomes related to NBS should shift focus toward the delivery of screening results and follow-up care as discussion builds on expanding NBS to include more conditions and genomic testing.

Web-based Dashboard on ECMO Utilization in Germany: An Interactive Visualization, Analyses, and Prediction Based on Real-life Data.

In Germany, a comprehensive reimbursement policy for extracorporeal membrane oxygenation (ECMO) results in the highest per capita use worldwide, although benefits remain controversial. Public ECMO data is unstructured and poorly accessible to healthcare professionals, researchers, and policymakers. In addition, there are no uniform policies for ECMO allocation which confronts medical personnel with ethical considerations during health crises such as respiratory virus outbreaks.Retrospective information on adult and pediatric ECMO support performed in German hospitals was extracted from publicly available reimbursement data and hospital quality reports and processed to create the web-based ECMO Dashboard built on Open-Source software. Patient-level and hospital-level data were merged resulting in a solid base for ECMO use analysis and ECMO demand forecasting with high spatial granularity at the level of 413 county and city districts in Germany.The ECMO Dashboard ( https://www.ecmo-dash.de/ ), an innovative visual platform, presents the retrospective utilization patterns of ECMO support in Germany. It features interactive maps, comprehensive charts, and tables, providing insights at the hospital, district, and national levels. This tool also highlights the high prevalence of ECMO support in Germany and emphasizes districts with ECMO surplus - where patients from other regions are treated, or deficit - origins from which ECMO patients are transferred to other regions. The dashboard will evolve iteratively to provide stakeholders with vital information for informed and transparent resource allocation and decision-making.Accessible public routine data could support evidence-informed, forward-looking resource management policies, which are urgently needed to increase the quality and prepare the critical care infrastructure for future pandemics.

Church Against State: How Industry Groups Lead the Religious Liberty Assault on Civil Rights, Healthcare Policy, and the Administrative State.

Industry-funded religious liberty legal groups have sought to undermine healthcare policy and law while simultaneously attacking the rights of sexual and gender minorities. Whereas past scholarship has tracked religiously-affiliated healthcare providers' growing political power and attendant transformations to legal doctrine, our account emphasizes the political donors and visionaries who have leveraged religious providers and the U.S. healthcare system's delegated structure to transform social policy and bureaucratic agencies more generally.

A Multi-pronged Approach to Addressing Global Poxviruses Vaccine Inequity: A Case of Monkeypox.

Monkeypox has been endemic in Congo and Nigeria for at least five decades. Since early May 2022, there have been numerous unprecedented outbreaks throughout the world in places without any previously reported cases. While a majority of the diagnosed cases have been within Europe and the Americas, several cases have occurred in non-endemic African countries. As of December 2022, 82,999 cases had been reported globally, prompting concern among the World Health Organization (WHO) members. While the WHO has not labeled this epidemic a Global Health Emergency, member states have begun to put forward plans to consolidate their emergency vaccine stockpiles and share the limited number of vaccines made by the single FDA-approved manufacturer, Bavarian Nordic. Many countries are concerned about how vaccines will be shared. Some of the larger donor States are positioned to be the biggest beneficiaries of vaccine sharing, while States from areas that have been suffering from the virus since the 1970s have not been allocated any. This pattern of vaccine distribution echoes that seen during the early part of the COVID-19 pandemic. Due to the similarities between Monkeypox and Smallpox, contact precautions and vaccination seem to be effective strategies to combat its rapid spread. We aim to evaluate how an eradication program model similar to that used for Smallpox can be applied to Monkeypox, and whether it can address vaccine inequity. To do this, we use a multi-pronged approach targeting disease surveillance, vaccine awareness, manufacturing, cost, and distribution strategies.

Bridging the gap: How investing in advanced practice nurses could transform emergency care in Africa.

AIM: This paper aims to highlight the vital importance of investing in advanced practice nursing (APN) for enhancing emergency care throughout Africa. BACKGROUND: APN's role is increasingly recognized as pivotal in optimizing healthcare, particularly in emergency settings in Africa. It offers improved patient care quality and strengthens the healthcare workforce. SOURCES OF EVIDENCE: Evidence is drawn from successful implementations of APN in various healthcare environments. This includes the development of APN-specific curricula and training, mentorship initiatives, clinical supervision, and defining advanced nursing roles within healthcare organizations. Investing in APNs in emergency care in Africa can lead to improved quality and access to care, cost-effectiveness, enhanced patient outcomes and satisfaction, and opportunities for professional development and career advancement in the healthcare workforce. DISCUSSION: Despite facing barriers in implementation, APN in emergency care presents innovative solutions. Investing in APN can help healthcare entities and policymakers surmount these challenges, providing specialized patient care and improving health outcomes. The discussion emphasizes the benefits such as enhanced access to care, reduced healthcare costs, and improved patient outcomes, alongside bolstering the healthcare workforce. CONCLUSION: The necessity and benefits of investing in APN for emergency care in Africa are clear. It is crucial for improving healthcare delivery and outcomes. IMPLICATIONS FOR NURSING PRACTICE: APN investment leads to a more competent and efficient nursing workforce, capable of addressing complex emergencies and improving patient care. IMPLICATIONS FOR NURSING POLICY AND HEALTH/SOCIAL POLICY: The paper advocates for policies that support APN development and integration into the healthcare system, emphasizing the need for research to assess APN's long-term impact and establish best practices for its implementation in emergency care across Africa.

Use of artificial intelligence in critical care: opportunities and obstacles.

BACKGROUND: Perhaps nowhere else in the healthcare system than in the intensive care unit environment are the challenges to create useful models with direct time-critical clinical applications more relevant and the obstacles to achieving those goals more massive. Machine learning-based artificial intelligence (AI) techniques to define states and predict future events are commonplace activities of modern life. However, their penetration into acute care medicine has been slow, stuttering and uneven. Major obstacles to widespread effective application of AI approaches to the real-time care of the critically ill patient exist and need to be addressed. MAIN BODY: Clinical decision support systems (CDSSs) in acute and critical care environments support clinicians, not replace them at the bedside. As will be discussed in this review, the reasons are many and include the immaturity of AI-based systems to have situational awareness, the fundamental bias in many large databases that do not reflect the target population of patient being treated making fairness an important issue to address and technical barriers to the timely access to valid data and its display in a fashion useful for clinical workflow. The inherent "black-box" nature of many predictive algorithms and CDSS makes trustworthiness and acceptance by the medical community difficult. Logistically, collating and curating in real-time multidimensional data streams of various sources needed to inform the algorithms and ultimately display relevant clinical decisions support format that adapt to individual patient responses and signatures represent the efferent limb of these systems and is often ignored during initial validation efforts. Similarly, legal and commercial barriers to the access to many existing clinical databases limit studies to address fairness and generalizability of predictive models and management tools. CONCLUSIONS: AI-based CDSS are evolving and are here to stay. It is our obligation to be good shepherds of their use and further development.

Challenges and countermeasures for China's centralised volume-based procurement policy in healthcare.

To reduce the cost of healthcare expenditures in China, the government has developed a centralised volume-based procurement (CVBP) policy for medicines and medical consumables. Based on tracking the development history of centralised procurement in China, this study explores China's CVBP model. By comparing the centralised procurement models and healthcare expenditure data among China, the United States (U.S), the United Kingdom (UK), and Singapore, we find that China still faces many challenges in implementing the CVBP policy. The main challenges are as follows. First, the policy cannot be guaranteed the effectiveness of implementation without a well-coordinated regulatory mechanism. Second, the CVBP rules and quality evaluation standards are imperfect. Third, the interests of healthcare companies cannot be guaranteed. Fourth, the policy affects the benefits of medical institutions, and the government has not built a compensation mechanism for medical institutions. Fifth, it poses a challenge to the operational capacity and innovation level of Chinese companies. Therefore, this paper posits a three-stage strategy and nine measures that could benefit China's progress in implementing the CVBP policy.

Current scenario and challenges of clinical pharmacists to implement pharmaceutical care in DRG/DIP payment hospitals in China: a qualitative interview study.

Purpose: The Diagnosis-Related Group (DRG) or Diagnosis-Intervention Packet (DIP) payment system, now introduced in China, intends to streamline healthcare billing practices. However, its implications for clinical pharmacists, pivotal stakeholders in the healthcare system, remain inadequately explored. This study sought to assess the perceptions, challenges, and roles of clinical pharmacists in China following the introduction of the DRG or DIP payment system. Methods: Qualitative interviews were conducted among a sample of clinical pharmacists. Ten semi-structured interviews were conducted, either online or face to face. Thematic analysis was employed to identify key insights and concerns related to their professional landscape under the DRG or DIP system. Results: Clinical pharmacists exhibited variable awareness levels about the DRG or DIP system. Their roles have undergone shifts, creating a balance between traditional responsibilities and new obligations dictated by the DRG or DIP system. Professional development, particularly concerning health economics and DRG-based or DIP-based patient care, was highlighted as a key need. There were calls for policy support at both healthcare and national levels and a revised, holistic performance assessment system. The demand for more resources, be it in training platforms or personnel, was a recurrent theme. Conclusion: The DRG or DIP system's introduction in China poses both opportunities and challenges for clinical pharmacists. Addressing awareness gaps, offering robust policy support, ensuring adequate resource allocation, and recognizing the evolving role of pharmacists are crucial for harmoniously integrating the DRG or DIP system into the Chinese healthcare paradigm.

A Cross-Sectional, Multicentric, Disease-Specific, Health-Related Quality of Life Study in Greek Transfusion Dependent Thalassemia Patients.

The assessment of health-related quality of life (HRQoL) in thalassemia offers a holistic approach to the disease and facilitates better communication between physicians and patients. This study aimed to evaluate the HRQoL of transfusion-dependent thalassemia (TDT) patients in Greece. This was a multicentric, cross-sectional study conducted in 2017 involving 283 adult TDT patients. All participants completed a set of two QoL questionnaires, the generic SF-36v2 and the disease-specific TranQol. Demographic and clinical characteristics were used to predefine patient subgroups. Significant factors identified in the univariate analysis were entered into a multivariate analysis to assess their effect on HRQoL. The SF-36 scores of TDT patients were consistently lower compared to the general population in Greece. The mean summary score of TranQol was relatively high (71 ± 14%), exceeding levels observed in national surveys in other countries. Employment emerged as the most significant independent factor associated with better HRQoL, whereas age had the most significant negative effect. This study represents the first comprehensive QoL assessment of a representative sample of the TDT population in Greece. The implementation of TranQol allowed for the quantification of HRQoL in Greece, establishing a baseline for future follow-up, and identifying more vulnerable patient subgroups.

Beyond Healing: Embracing the Triple Bottom Line Approach in Post-pandemic Healthcare.

A triple bottom line (TBL) encompasses economic, social, and environmental dimensions, which provides a strategy for transforming contemporary healthcare systems. This study contextualized current TBL developments in healthcare under the spotlight of COVID-19 pandemic-related challenges and opportunities. The paper has five sections, including an introductory section that outlines the TBL concept and its relevance to healthcare. Following this, we provide an overview of the three pillars of the TBL, including its economic, social, and environmental dimensions as they relate to healthcare. This section also includes several case studies to illustrate TBL-based practices in diverse healthcare settings, focusing on how these were implemented and the outcomes and barriers to adopting such practices. In addition to showcasing current TBL practices, we review three significant challenges to TBL and highlight potential areas for future research, such as innovative practices, educational reform, and the need for the development of robust TBL metrics. The overarching conclusion is that the TBL provides a profound approach to conceptualizing contemporary healthcare to meet the urgent requirements for a more resilient, equitable, and environmentally responsible healthcare system.

Interpretation of coefficients in segmented regression for interrupted time series analyses.

Background: Segmented regression, a common model for interrupted time series (ITS) analysis, primarily utilizes two equation parametrizations. Interpretations of coefficients vary between the two segmented regression parametrizations, leading to occasional user misinterpretations. Methods: To illustrate differences in coefficient interpretation between two common parametrizations of segmented regression in ITS analysis, we derived analytical results and present an illustration evaluating the impact of a smoking regulation policy in Italy using a publicly accessible dataset. Estimated coefficients and their standard errors were obtained using two commonly used parametrizations for segmented regression with continuous outcomes. We clarified coefficient interpretations and intervention effect calculations. Results: Our investigation revealed that both parametrizations represent the same model. However, due to differences in parametrization, the immediate effect of the intervention is estimated differently under the two approaches. The key difference lies in the interpretation of the coefficient related to the binary indicator for intervention implementation, impacting the calculation of the immediate effect. Conclusions: Two common parametrizations of segmented regression represent the same model but have different interpretations of a key coefficient. Researchers employing either parametrization should exercise caution when interpreting coefficients and calculating intervention effects.