Barriers to Early Diagnosis of Breast Cancer amongst women in the Fiji Islands: A Qualitative Study.

OBJECTIVE: To investigate the factors that may account for the delay in diagnosis and treatment in Fijian female breast cancer patients. METHODS: This study adopted a qualitative approach to gain an in-depth understanding of individual barriers and participants' experiences within the Fijian context. Utilising semi-structured interviews, the study interviewed breast cancer survivors, community women, healthcare professionals, and traditional healers. RESULTS: Two primary themes emerged from participants' narratives relating to barriers to early breast cancer detection: (1) individual-related factors and (2) healthcare system-related factors. Within these, five sub-themes were identified. For individual-related factors, these included: cultural & religious beliefs, social support, and awareness & misconception. For healthcare system factors, the sub-themes were: House of death and limited community accessibility to screening and awareness initiatives. CONCLUSION: The results highlighted the need for targeted interventions that consider the importance of cultural beliefs, improve awareness, and foster trust in the healthcare system.

Discriminant Input Processing Scheme for Self-Assisted Intelligent Healthcare Systems.

Modern technology and analysis of emotions play a crucial role in enabling intelligent healthcare systems to provide diagnostics and self-assistance services based on observation. However, precise data predictions and computational models are critical for these systems to perform their jobs effectively. Traditionally, healthcare monitoring has been the primary emphasis. However, there were a couple of negatives, including the pattern feature generating the method's scalability and reliability, which was tested with different data sources. This paper delves into the Discriminant Input Processing Scheme (DIPS), a crucial instrument for resolving challenges. Data-segmentation-based complex processing techniques allow DIPS to merge many emotion analysis streams. The DIPS recommendation engine uses segmented data characteristics to sift through inputs from the emotion stream for patterns. The recommendation is more accurate and flexible since DIPS uses transfer learning to identify similar data across different streams. With transfer learning, this study can be sure that the previous recommendations and data properties will be available in future data streams, making the most of them. Data utilization ratio, approximation, accuracy, and false rate are some of the metrics used to assess the effectiveness of the advised approach. Self-assisted intelligent healthcare systems that use emotion-based analysis and state-of-the-art technology are crucial when managing healthcare. This study improves healthcare management's accuracy and efficiency using computational models like DIPS to guarantee accurate data forecasts and recommendations.

Blockchain technology and raft consensus for secure physician prescriptions and improved diagnoses in electronic healthcare systems.

With electronic healthcare systems undergoing rapid change, optimizing the crucial process of recording physician prescriptions is a task with major implications for patient care. The power of blockchain technology and the precision of the Raft consensus algorithm are combined in this article to create a revolutionary solution for this problem. In addition to addressing these issues, the proposed framework, by focusing on the challenges associated with physician prescriptions, is a breakthrough in a new era of security and dependability for the healthcare sector. The Raft algorithm is a cornerstone that improves the diagnostic decision-making process, increases confidence in patients, and sets a new standard for robust healthcare systems. In the proposed consensus algorithm, a weighted sum of two influencing factors including the physician acceptability and inter-physicians' reliability is used for selecting the participating physicians. An investigation is conducted to see how well the Raft algorithm performs in overcoming prescription-related roadblocks that support a compelling argument for improved patient care. Apart from its technological benefits, the proposed approach seeks to revolutionize the healthcare system by fostering trust between patients and providers. Raft's ability to communicate presents the proposed solution as an effective way to deal with healthcare issues and ensure security.

[Personnel shortages in the healthcare sector-will de-economization solve or exacerbate the problem?] / Personalmangel im Gesundheitswesen ­ Löst oder verstärkt die Entökonomisierung das Problem?

The healthcare industry has long complained about an acute shortage of skilled workers. Vacancies can often only be filled by skilled workers from abroad. While rural areas are increasingly experiencing a shortage of personnel, many urban centers continue to have an oversupply and a sufficient number of young doctors. Hospitals do not expect the situation to improve in the future. Hospitals are trying to counteract the negative development of the job situation in nursing staff. Government intervention can limit the economically motivated adjustment of resource utilization. The demand for staff will not fall as a result of de-economization.

Mapping the Locations of Medical Specialists in the Ministry of Health's Hospitals in Malaysia by Specialty, Subspecialty and Area of Interest.

Mapping the distribution of medical specialists in the Ministry of Health (MOH) Malaysia facilities is expected to be more complex as the demand for specialty and subspecialty services increases in the future. A more robust and definitive gap analysis is needed to facilitate planning and resource allocation. The Medical Development Division developed a master list of framework of specialties, subspecialties and areas of interest, and Specialist Database Module in the Medical Programme Information System (MPIS) as tools to facilitate mapping of services. Relational database of specialists' location, facilities, workload, population profile and other relevant parameters were developed to provide data visualisation in specific dashboard. Needs versus supply ratio is proposed as one of parameters to visualise specialised medical services distribution by geographical localities.

Public Perceptions of the Australian Health System During COVID-19: Findings From a 2021 Survey Compared to Four Previous Surveys.

BACKGROUND: This study examines the perceptions of the Australian public canvassed in 2021 during the COVID-19 pandemic about their health system compared to four previous surveys (2008, 2010, 2012 and 2018). METHODS: In 2021, a nationwide online survey was conducted with a representative sample of Australians (N = 5100) recruited via market research panels. The results were compared to previous nationwide Australian survey samples from 2018 (N = 1024), 2012 (N = 1200), 2010 (N = 1201) and 2008 (N = 1146). The survey included questions consistent with previous polls regarding self-reported health status and overall opinions of, and confidence in, the Australian health system. RESULTS: There was an increase in the proportion of respondents reporting positive perceptions at each survey between 2008 and 2021, with a significantly higher proportion of respondents expressing a more positive view of the Australian healthcare system in 2021 compared to previous years (χ2(8, N = 9645) = 487.63, p < 0.001). In 2021, over two-thirds of respondents (n = 3949/5100, 77.4%) reported that following the COVID-19 pandemic, their confidence in the Australian healthcare system had either remained the same (n = 2433/5100, 47.7%) or increased (n = 1516/5100, 29.7%). Overall, respondents living in regional or remote regions, younger Australians (< 45 years) and women held less positive views in relation to the system. In 2021, the most frequently identified area for urgent improvement was the need for more healthcare workers (n = 1350/3576, 37.8%), an area of concern particularly for Australians residing in regional or remote areas (n = 590/1385, 42.6%). CONCLUSIONS: Irrespective of disruptions to the Australian healthcare system caused by the COVID-19 pandemic, Australians' perceptions of their healthcare system were positive in 2021. However, concerns were raised about inadequate workforce capacity and the cost of healthcare, with differences identified by age groups and geographical location. PATIENT OR PUBLIC CONTRIBUTION: Health consumer representatives from the Consumers Health Forum of Australia contributed to the co-design, deployment, analysis and interpretation of the results of this survey. J.A. and L.W. from the Consumers Health Forum of Australia contributed to the development of the paper.

An Analysis of Referrals Done by Primary Care Centers to Tertiary Care Institutions.

Background and aim Primary care is an important element for every healthcare system around the world. Providing and optimizing the connection between the primary care centers and advanced clinical centers is a key concept for a well-functioning healthcare system. Our aim in this study was to analyze and review the referral data of primary care centers located in Ankara, Türkiye. Materials and methods We collected the entire referral data from the primary care centers, totaling 8,746 patients between January 1, 2019 and December 31, 2023 by using emergency medical services (EMS) transfer in Ankara. Demographic data, call reasons, transfer centers and transfer-related characteristics of the patients were recorded retrospectively, grouped by year, using EMS data. Results Our findings have shown that most of the referrals were made for Turkish citizens with 8,360 (95.6%) (p<0.001). Healthcare centers located in inner city had the most referrals made with 7,087 (81.0%) (p<0.001). Majority of the referrals were made by physicians in family healthcare centers with 6,583 (75.3%) (p<0.001) with chest pain being the most common diagnosis for referral initiation with 1,429 (16.3%) (p<0.001). This was followed by trauma, with 1,172 (13.4%) (p<0.001). Most common cause for trauma was falls with 613 (52.3%) (p<0.001). Conclusion Our data revealed important elements of local referral patterns. According to our data, majority of the referrals were made by inner city healthcare facilities. Family healthcare centers formed most of the referral requests. For this reason, strengthening these centers is important to prevent unnecessary resource use and delays.

[Stigma in homelessness and health care: reflections from a Housing First program in Barcelona, Spain]. / Estigma en personas sin hogar y atención en salud: reflexiones desde un programa Housing First en Barcelona, España.

The experience of homelessness is associated with strong stigmatization processes, which are often reflected in the treatment received from professionals and the healthcare system itself. This article aims to analyze the experiences of participants in a program for homeless individuals in Barcelona called Primer la Llar within the healthcare system, and how the stigma they suffer affects the care processes. This program follows the Housing First model, a social intervention that proposes providing housing without preconditions to individuals with long histories of street living, who suffer from severe mental disorders and/or addictions. Based on individual interviews with 20 participants conducted between 2016 and 2020, it is observed that in certain cases, entering the program, having housing availability, support from professionals, and the development of their own strategies had positive effects on improving their health, although they continue to perceive discriminatory attitudes in some medical settings. It is suggested that the transformation regarding stigmatization be understood broadly, affecting individuals, institutions, and society as a whole.

El tránsito por el sinhogarismo está asociado a procesos de fuerte estigmatización que, en muchas ocasiones, tienen su reflejo en el trato que reciben por parte de las y los profesionales y del propio sistema de atención en salud. Este artículo tiene como objetivo analizar las experiencias que tuvieron en el sistema sanitario las y los participantes de un programa para personas sin hogar en Barcelona llamado Primer la Llar, y cómo el estigma que sufren estas personas llega a condicionar los procesos de atención. Dicho programa sigue el modelo Housing First, una intervención social que propone la entrada a una vivienda sin condiciones previas a personas con largas trayectorias de vida en la calle, que sufren trastornos mentales graves y/o adicciones. A partir de entrevistas individuales con 20 participantes, realizadas entre 2016 y 2020, se observa que, en determinados casos, el ingreso en el programa, la disponibilidad de una vivienda, el soporte de profesionales y el desarrollo de estrategias propias tuvieron efectos positivos en la mejora de su salud, aunque continúan percibiendo actitudes discriminatorias en algunos espacios médicos. Se plantea la necesidad de que la transformación respecto a la estigmatización sea entendida en un sentido amplio, en las personas, en las instituciones y en la sociedad.

Design, construction, and validation of obstetric risk classification systems to predict intensive care unit admission.

INTRODUCTION: To develop and validate a support tool for healthcare providers, enabling them to make precise and critical decisions regarding intensive care unit (ICU) admissions for high-risk pregnant women, thus enhancing maternal outcomes. METHODS: This retrospective study involves secondary data analysis of information gathered from 9550 pregnant women, who had severe maternal morbidity (any unexpected complication during labor and delivery that leads to substantial short-term or long-term health issues for the mother), collected between 2009 and 2010 from the Brazilian Network for Surveillance of Severe Maternal Morbidity, encompassing 27 obstetric reference centers in Brazil. Machine-learning models, including decision trees, Random Forest, Gradient Boosting Machine (GBM), and Extreme Gradient Boosting (XGBoost), were employed to create a risk prediction tool for ICU admission. Subsequently, sensitivity analysis was conducted to compare the accuracy, predictive power, sensitivity, and specificity of these models, with differences analyzed using the Wilcoxon test. RESULTS: The XGBoost algorithm demonstrated superior efficiency, achieving an accuracy rate of 85%, sensitivity of 42%, specificity of 97%, and an area under the receiver operating characteristic curve of 86.7%. Notably, the estimated prevalence of ICU utilization by the model (11.6%) differed from the prevalence of ICU use from the study (21.52%). CONCLUSION: The developed risk engine yielded positive results, emphasizing the need to optimize intensive care bed utilization and objectively identify high-risk pregnant women requiring these services. This approach promises to enhance the effective and efficient management of pregnant women, particularly in resource-constrained regions worldwide. By streamlining ICU admissions for high-risk cases, healthcare providers can better allocate critical resources, ultimately contributing to improved maternal health outcomes.

Dynamic resectorization to improve utility of healthcare systems.

Balancing is an essential challenge in healthcare systems that requires effective strategies. This study aims to address this crucial issue by suggesting a practical approach. We show the potential of balancing a regional healthcare system to improve its utility. We consider a regional healthcare system comprising multiple hospitals with different sizes, capacities, quality of service, and accessibility. We define a utility function for the system based on the sectorization concept, which endeavors to form a balance between hospitals in terms of essential outputs such as waiting times and demands. The dynamic nature of the system means that this balance degrades over time, necessitating periodic sectorization, which is called resectorization. Our methodology stands out for incorporating resectorization as a dynamic strategy, enabling more flexible and responsive adaptations to continuously changing healthcare needs. Unlike previous studies, based on a system-oriented approach, our resectorization scenarios include the periodic closure of some hospitals. This enables us to enhance both the capacity and quality of healthcare facilities. Furthermore, in contrast to other studies, we investigate the states of diminishing demand throughout the resectorization process. To provide empirical insights, we conduct a simulation using data from a real-world case study. Our analysis spans multiple time periods, enabling us to dynamically quantify the utility of the healthcare system. The numerical findings demonstrate that substantial utility improvements are attainable through the defined scenarios. The study suggests a practical solution to the critical challenge of balancing issues in regional healthcare systems.

Enablers and barriers to implementing cholera interventions in Nigeria: a community-based system dynamics approach.

Nigeria accounts for a substantial cholera burden globally, particularly in its northeast region, where insurgency is persistent and widespread. We used participatory group model building (GMB) workshops to explore enablers and barriers to implementing known cholera interventions, including water, sanitation, and hygiene (WASH), surveillance and laboratory, case management, community engagement, oral cholera vaccine, and leadership and coordination, as well as explore leverage points for interventions and collaboration. The study engaged key cholera stakeholders in the northeastern states of Adamawa and Bauchi, as well as national stakeholders in Abuja. Adamawa and Bauchi States' GMB participants comprised 49 community members and 43 healthcare providers, while the 23 national participants comprised government ministry, department and agency staff, and development partners. Data were analysed thematically and validated via consultation with selected participants. The study identified four overarching themes regarding the enablers and barriers to implementing cholera interventions: (1) political will, (2) health system resources and structures, (3) community trust and culture, and (4) spill-over effect of COVID-19. Specifically, inadequate political will exerts its effect directly (e.g., limited funding for prepositioning essential cholera supplies) or indirectly (e.g., overlapping policies) on implementing cholera interventions. The healthcare system structure (e.g., centralisation of cholera management in a state capital) and limited surveillance tools weaken the capacity to implement cholera interventions. Community trust emerges as integral to strengthening the healthcare system's resilience in mitigating the impacts of cholera outbreaks. Lastly, the spill-over effects of COVID-19 helped promote interventions similar to cholera (e.g., WASH) and directly enhanced political will. In conclusion, the study offers insights into the complex barriers and enablers to implementing cholera interventions in Nigeria's cholera-endemic settings. Strong political commitment, strengthening the healthcare system, building community trust, and an effective public health system can enhance the implementation of cholera interventions in Nigeria.

A Cross-Sectional Study of Emergency Care Services During the COVID-19 Pandemic: A Multicenter Study of Healthcare Staff Perspectives.

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic has significantly impacted various aspects of healthcare services, including emergency care services. Healthcare staff face mental issues and physical exertion when caring for patients potentially infected with COVID-19. Understanding the experiences and perspectives of emergency department (ED) healthcare staff during the COVID-19 pandemic is essential to inform evidence-based interventions and strategies to mitigate the impact on emergency care services. This study aims to investigate the experiences of ED healthcare staff regarding emergency care services during the COVID-19 pandemic, thus providing valuable insights into the challenges faced. MATERIALS AND METHODS: This study utilized a cross-sectional study design. Data were collected from 256 ED healthcare staff working in nine different hospitals located in Turkey between November 15, 2021, and December 30, 2021. Data were analyzed using descriptive statistics. RESULTS: A total of 256 participants were included in the study. Of the participants, 58.6% were nurses, 19.5% were ED doctors, and 21.9% were emergency medical technicians. In addition, 67.2% of the participants were infected with COVID-19, and almost all of them (94.1%) were psychologically affected by the pandemic process. It was found that 85.2% of ED healthcare staff felt excluded by society due to being healthcare staff and 71.9% had to be separated from their families. Nurses were separated from their families at the highest rate (78%) during this period. CONCLUSION: More than half of the ED healthcare staff had problems accessing protective equipment and were separated from their families during the pandemic due to the risk of COVID-19 transmission. Although the number of ED visits decreased because of restrictions at the beginning of the pandemic, ED visits increased again with the abolition of restrictions.

A Descriptive Review of the Healthcare System and the Provision of Oral Healthcare in the Republic of Sudan.

Oral health constitutes a significant public health concern in Sub-Saharan Africa. The precise burden of oral diseases and the adequacy of oral healthcare provision remain often unknown. The present study aims to evaluate key components of the healthcare system in Sudan and the delivery of oral healthcare across eight dimensions: Healthcare System Framework, Financing, Service Delivery, Epidemiology, Prevention, Personnel, Dental Education and Training System, and Health Benefit Package. The evaluation of Sudan's healthcare system and oral healthcare provision utilizing the extended World Health Organization building blocks healthcare systems analysis framework. The evolving healthcare landscape in Sudan is characterized by a transition towards a Bismarckian model, a shift facilitated by the implementation of a National Health Insurance Fund. In 2018, Sudan's total healthcare expenditure surged to 2.4 billion US dollars and dental care accounted for less than 1% of this financial allocation. During the period spanning from 2016 to 2019, there was an expansion in the healthcare infrastructure and utilization rates. The number of healthcare facilities and hospital admissions respectively increased from 2,083 to 3,578 and from 14,967,113 to 22,455,772, while the registered number of dentists in 2019 reached 8,964. Within the framework of the national healthcare system, medical consultations and emergency treatments are encompassed in the oral health benefit package. Sudan's healthcare system grapples with endemic vulnerabilities compounded by recurrent political and economic challenges. Nevertheless, strides towards an insurance-based healthcare system and the upward trend observed in oral healthcare provision and infrastructure assets offer promising prospects for future generations.

An ethics framework for the transition to an operational learning healthcare system.

Introduction: While Learning Healthcare Systems (LHSs) have received increasing attention in health care and research, the amount of operational LHSs remains limited. Given the investment of resources in these projects, a moral responsibility to pursue the transition toward an LHS falls on projects and their participating stakeholders. This paper provides an ethics framework for projects that have taken steps toward building an LHS and are in the position to transition to an operational LHS. Method: To articulate relevant ethical requirements, we analyze established ethics frameworks in the fields of LHSs, data-intensive health research, and transitioning or innovating health systems. The overlapping content and shared values are used to articulate overarching ethical requirements. To provide necessary context, we apply the insights from the analysis to the Innovative Medicines Initiative ConcePTION project. This project is specifically designed to generate knowledge on the safety of medications used during pregnancy and lactation through the establishment of an LHS. Results: Upon analyzing the consulted frameworks, we identified four overlapping ethical requirements that are also of significant relevance within the scope of our ethics framework. These requirements are: (1) public benefit and favorable harm-benefit ratio; (2) equity and justice; (3) stakeholder engagement; and (4) sustainability. Additionally, we apply these ethical requirements to the context of an LHS for pregnant and lactating people. Conclusion: Although tailored to the context of pregnancy and lactation, our ethics framework can provide guidance for the transition to an operational LHS across diverse healthcare domains.

Key Considerations for Designing Clinical Studies to Evaluate Digital Health Solutions.

Evidence of clinical impact is critical to unlock the potential of digital health solutions (DHSs), yet many solutions are failing to deliver positive clinical results. We argue in this viewpoint that this failure is linked to current approaches to DHS evaluation design, which neglect numerous key characteristics (KCs) requiring specific scientific and design considerations. We first delineate the KCs of DHSs: (1) they are implemented at health care system and patient levels; (2) they are "complex" interventions; (3) they can drive multiple clinical outcomes indirectly through a multitude of smaller clinical benefits; (4) their mechanism of action can vary between individuals and change over time based on patient needs; and (5) they develop through short, iterative cycles-optimally within a real-world use context. Following our objective to drive better alignment between clinical evaluation design and the unique traits of DHSs, we then provide methodological suggestions that better address these KCs, including tips on mechanism-of-action mapping, alternative randomization methods, control-arm adaptations, and novel end-point selection, as well as innovative methods utilizing real-world data and platform research.

Uncovering multi-level mental healthcare barriers for migrants: a qualitative analysis across China, Germany, Netherlands, Romania, and South Africa.

BACKGROUND: Forced displacement is a significant issue globally, and it affected 112 million people in 2022. Many of these people have found refuge in low- and middle-income countries. Migrants and refugees face complex and specialized health challenges, particularly in the area of mental health. This study aims to provide an in-depth qualitative assessment of the multi-level barriers that migrants face in accessing mental health services in Germany, Macao (Special Administrative Region of China), the Netherlands, Romania, and South Africa. The ultimate objective is to inform tailored health policy and management practices for this vulnerable population. METHODS: Adhering to a qualitative research paradigm, the study centers on stakeholders' perspectives spanning microsystems, mesosystems, and macrosystems of healthcare. Utilizing a purposive sampling methodology, key informants from the aforementioned geographical locations were engaged in semi-structured interviews. Data underwent thematic content analysis guided by a deductive-inductive approach. RESULTS: The study unveiled three pivotal thematic barriers: language and communication obstacles, cultural impediments, and systemic constraints. The unavailability of professional interpreters universally exacerbated language barriers across all countries. Cultural barriers, stigmatization, and discrimination, specifically within the mental health sector, were found to limit access to healthcare further. Systemic barriers encompassed bureaucratic intricacies and a conspicuous lack of resources, including a failure to recognize the urgency of mental healthcare needs for migrants. CONCLUSIONS: This research elucidates the multifaceted, systemic challenges hindering equitable mental healthcare provision for migrants. It posits that sweeping policy reforms are imperative, advocating for the implementation of strategies, such as increasing the availability of language services, enhancing healthcare providers' capacity, and legal framework and policy change to be more inclusive. The findings substantially contribute to scholarly discourse by providing an interdisciplinary and international lens on the barriers to mental healthcare access for displaced populations.

Vaccine communication strategies among healthcare workers as a reflection of the Israeli Ministry of Health's communication strategies before and after the COVID-19 pandemic.

Background: Healthcare workers play a central role in communicating information to the public regarding vaccines. Most of the literature has focused on healthcare workers' hesitancy and doubts about getting the flu vaccine themselves. However, few studies have dealt with how they perceive their role in communicating information regarding vaccines, especially following the COVID-19 pandemic. Objectives: (1) To identify the communication strategies used by the Israeli Ministry of Health regarding vaccines during epidemic crises (before and after the COVID-19 pandemic); (2) To identify the communication strategies used by healthcare workers regarding vaccines before and after the COVID-19 pandemic. Methods: A qualitative study based on in-depth interviews was conducted among healthcare workers and used a semi-structured protocol as a research tool. A total of 18 healthcare workers were sampled using purposeful and snowball sampling. Results: Despite healthcare workers' perception that there has been a decrease in trust in the Israeli Ministry of Health among the public following the COVID-19 outbreak, they still rely on the Israeli Ministry of Health as their primary source of information and use the same communication strategies (such as fear appeals and correcting information) as of the Israeli Ministry of Health to communicate with the public, healthcare providers, and other relevant stakeholders. Conclusion: Healthcare workers have been shaped by the professional socialization processes within the health system, leading to a predominant reliance on established communication strategies and informational channels. This reliance underscores the importance of evolving these methods to better engage with the public. To address this, there is a compelling need to innovate and adopt new communication techniques that emphasize effective dialogue and transparent interactions. By doing so, healthcare professionals can ensure that their outreach is not only informative but also responsive to the diverse needs and preferences of the community.

Experiences of co-producing person-centred and cohesive clinical pathways in the national system for knowledge-based management in Swedish healthcare: a qualitative study.

BACKGROUND: When the 21 Swedish county councils decided to collaborate in the creation of a national system for knowledge-based management, patient participation was mandatory. Patient and next-of-kin representatives (PR) co-produced person-centred and cohesive clinical pathways together with healthcare professionals (HPR). Research on co-production in healthcare at the national level is scarce. The aim of this study is to explore experiences of patient participation from the perspectives of both PRs and HPRs when co-producing clinical pathways within the Swedish nationwide healthcare system for knowledge-based management. METHODS: A qualitative study was conducted. A strategic sample of nine PRs and eight HPRs were interviewed individually between August 2022 and January 2023 using a semi-structured interview guide. We analysed data using an inductive content analysis. RESULTS: Three main categories were identified: (1) Finding appropriate patient representativeness; (2) Working methods that facilitate a patient perspective; and (3) Influence of the patient perspective in the clinical pathways. CONCLUSIONS: The study demonstrates the importance of patient and next-of-kin participation in the construction of clinical pathways at the national level. The results provide a platform for further research on patient participation on the national level and add to studies on if and how patient participation on this level has an impact on how the clinical pathways are put into practice at the micro level, and the support provided at the meso level. The study contributes to the growing body of literature studying patient participation and co-production. TRIAL REGISTRATION: Region Örebro County ID 276,940. An advisory opinion was obtained from the Swedish Ethical Review Authority (2021-05899-01).

Lack of Public Awareness and Prehospital Care in Severe Trauma Patients: The Weakest Link in the Indian Healthcare System.

INTRODUCTION: Management of trauma involves both in-hospital and prehospital care. The level of prehospital care plays a vital role in trauma management. Low- and middle-income countries are still in the nascent stages of development of their emergency medical services (EMS) systems. Also, there have been insufficient studies assessing the availability and level of prehospital care in developing nations such as India. Therefore, we decided to study the level of awareness and prehospital care given to severe trauma patients. MATERIALS AND METHODS: We conducted this prospective observational study at the emergency department of Fortis Hospital, Noida, Uttar Pradesh, in Northern India. All adults between ages 18 and 85 years presenting with severe trauma (immediate life- or limb-threatening conditions requiring emergent intervention) were included. We measured the primary outcome in terms of why people did not avail EMS. We measured secondary outcomes in terms of intervention done in patients coming to us via EMS. RESULTS: Out of 101 patients, 89 (88.12%) were transported to Fortis Hospital through non-EMS, whereas only 12 (11.88%) patients were transported by EMS. We found the difference to be statistically significant. The major reason given for not summoning advanced trauma care services in patients was a lack of awareness about the potential benefits of EMS (n = 64 [72%]), followed by a lack of availability (n = 24 [27%]), and financial reasons (n = 1 [1.1%]). CONCLUSION: We conclude that the level of awareness about EMS for severe trauma patients was found to be low in our study. There is a need for an awareness-creation program across the nation to fill this gap.

Estimating the Carbon Footprint of Healthcare in the Canton of Geneva and Reduction Scenarios for 2030 and 2040.

Switzerland, a wealthy country, has a cutting-edge healthcare system, yet per capita, it emits over one ton of CO2, ranking among the world's most polluting healthcare systems. To estimate the carbon footprint of the healthcare system of Geneva's canton, we collected raw data on the activities of its stakeholders. Our analysis shows that when excluding medicines and medical devices, hospitals are the main greenhouse gas emitter by far, accounting for 48% of the healthcare system's emission, followed by nursing homes (20%), private practice (18%), medical analysis laboratories (7%), dispensing pharmacies (4%), the homecare institution (3%), and the ambulance services (<1%). The most prominent emission items globally are medicines and medical devices by far, accounting for 59%, followed by building operation (19%), transport (11%), and catering (4%), among others. To actively reduce Geneva's healthcare carbon emissions, we propose direct and indirect measures, either with an immediate impact or implementing systemic changes concerning medicine prescription, building heating and cooling, low-carbon means of transport, less meaty diets, and health prevention. This study, the first of its kind in Switzerland, deciphers where most of the greenhouse gas emissions arise and proposes action levers to pave the way for ambitious emission reduction policies. We also invite health authorities to engage pharmaceutical and medical suppliers in addressing their own responsibilities, notably through the adaptation of procurement processes and requirements.