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Health management education and reformation of nursing education in the Slovak Republic.

This article details changes in nursing in the Slovak Republic. Nurses are an important part of the rapidly changing health care systems in the Slovak Republic, especially as nursing and health care move from a traditional to a more holistic approach. Nursing must adapt to the changes in the health care systems, including taking on more managerial responsibilities, requiring greater knowledge and skills. This article discusses the background and curriculum development of nursing education, from a traditional nursing education at the secondary school level to more advanced graduate-level programs, as nursing takes on a greater role in the Slovak Republic. Finally, the article details the need to implement the changes in education to the practice of nursing as well as the challenges of such implementation.

Curriculum↗

Implementing computerized tracking at a community health center: challenges and solutions.

A computerized tracking system for both preventive care and chronic disease tracking was implemented at a community health center, using a PC based local area network interfaced with a mainframe scheduling and billing system. Initial database construction used downloads of historical billing data, but ongoing database maintenance is accomplished by using an optical mark-sense scanner to construct both billing and clinical tracking files from custom-designed encounter forms. In this way, expanded clinical data is collected with an actual reduction in manually keyed data, reducing the ongoing cost of the system.

Ambulatory Care Information Systems↗

Transparent image access in a distributed picture archiving and communications system: the Master Database broker.

A distributed design is the most cost-effective system for small-to medium-scale picture archiving and communications systems (PACS) implementations. However, the design presents an interesting challenge to developers and implementers: to make stored image data, distributed throughout the PACS network, appear to be centralized with a single access point for users. A key component for the distributed system is a central or master database, containing all the studies that have been scanned into the PACS. Each study includes a list of one or more locations for that particular dataset so that applications can easily find it. Non-Digital Imaging and Communications in Medicine (DICOM) clients, such as our worldwide web (WWW)-based PACS browser, query the master database directly to find the images, then jump to the most appropriate location via a distributed web-based viewing system. The Master Database Broker provides DICOM clients with the same functionality by translating DICOM queries to master database searches and distributing retrieval requests transparently to the appropriate source. The Broker also acts as a storage service class provider, allowing users to store selected image subsets and reformatted images with the original study, without having to know on which server the original data are stored.

CD-ROM↗

Poultry vaccines: an analysis of the animal trials required for vaccine testing and the way to reduce or refine these tests.

The testing of vaccines for use in chickens requires a large number of animal trials. Especially for poultry vaccines, quality testing of each batch consists of testing for extraneous agents in chickens for all products and potency tests for inactivated products. For the licensing of a vaccine a number of safety and efficacy tests is necessary. The safety testing covers dose and overdose studies, and the influence on reproductive performances and immunological functions. For live vaccines some additional trials concerning spread of vaccine strains, dissemination in the vaccinated animals and reversion to virulence are required. Some possibilities for combining several tests are presented. The purpose is to reduce the number of animals needed in these trials. The efficacy testing mostly requires challenge tests to define onset, level and duration of immunity. Serological test systems to replace the challenges are rarely implemented. The example of efficacy testing of infectious bursal disease vaccines demonstrates the possible replacement of a challenge by a serological test system. Parameters are morbidity, mortality, histological findings, bursa/body-ratios, and humoral antibodies detected by serum neutralization and ELISA.

Animal Welfare↗

The 2026 Bundibugyo Ebola Outbreak: A Warning for Global Preparedness for Future Epidemics.

Dear Editor, The 2026 Bundibugyo Ebolavirus (BDBV) outbreak has once again demonstrated that the threat of emerging diseases remains a major global health challenge. The outbreak, first detected in the Democratic Republic of Congo (DRC) and spread to Uganda, is not only a regional crisis but also a test of the world's preparedness for pathogens with epidemic potential. Unlike Zaire Ebolavirus (EBOV), which has benefited from effective vaccines and treatments in recent years, BDBV still lacks a licensed vaccine or specific treatment[1]. As of June 6, a total of 515 laboratory-confirmed cases and 91 deaths have been reported in DRC, while Uganda has reported 19 laboratory-confirmed cases and two deaths. The occurrence of unexplained deaths among both the community and healthcare workers, along with prior reports of an unidentified hemorrhagic fever, suggest that the outbreak has been likely originated in March 2026 or even earlier. Accordingly, the virus is believed to have spread unnoticed for several weeks before being identified through genomic sequencing in mid-May 2026[2]. The resurgence of Ebola in Africa results from a complex interaction of environmental, social, and political factors. Deforestation, the development of mining activities, the expansion of agriculture, and increased human contact with wildlife have elevated the likelihood of spillovers from wildlife reservoirs, particularly fruit bats, which are considered the most likely natural hosts of ebolaviruses. Moreover, weak disease surveillance systems and limited access to health services have delayed the identification of early cases. The similarity of the initial symptoms of Ebola to other endemic diseases in the region, such as malaria, makes early diagnosis difficult and provides ample opportunity for transmission to spread. Insecurity, misinformation, attacks on healthcare facilities, and armed conflict in the region have also posed serious challenges to the implementation of contact tracing programs and rapid response to the epidemic[3,4]. One of the most critical challenges highlighted by this outbreak is the weakness of diagnostic capacities in the affected areas. The initial 2007 outbreak of BDBV proved that delayed lab confirmation paralyzes public health responses[5]. Now, dealing with a much larger outbreak in 2026, the persistence of this challenge highlights a dangerous failure to invest in diagnostic infrastructure over the last 19 years. Many health facilities do not have access to molecular laboratories, rapid sample transport systems, and biosafety infrastructure[6]. These limitations delay the diagnosis and isolation of patients, thus perpetuating disease transmission. Investment in the development of mobile laboratories, rapid point-of-care diagnostic tests, and digital reporting systems can dramatically reduce the time to diagnosis and response to an outbreak. The BDBV outbreak shows that laboratory preparedness must be considered an essential part of global health security. Furthermore, the early detection of emerging pathogens depends not only on diagnostic technologies but also on the expertise of local scientists who are able to recognize unusual epidemiological and laboratory patterns. During the current outbreak, suspected Ebola cases initially tested negative using common diagnostic tests (designed for Zaire Ebola Virus), which delayed the identification of the BDBV. Specifically, field-based diagnostics in Bunia were calibrated exclusively to detect the EBOV responsible for recent Congolese outbreaks. Consequently, patient samples collected throughout late April and early May yielded negative results, requiring cross-country transport to Kinshasa for genomic confirmation[2]. This experience revealed a major vulnerability in outbreak preparedness: diagnostic tools designed for known threats may be ineffective in detecting less common or unexpected pathogens. Therefore, strengthening local scientific capacities, developing genomic surveillance, and expanding access to flexible and adaptable diagnostic platforms should be considered as a top priority for global health security. The lack of a licensed vaccine for BDBV was one of the most significant challenges of this epidemic. While the rVSV-ZEBOV vaccine has played a significant role in controlling Zaire ebolavirus, there is no licensed vaccine for BDBV. In response to this outbreak, efforts to develop mRNA-based vaccines, adenoviral vectors, rVSV-based vaccines, and multipotent vaccines have been accelerated[7]. However, the experience of this epidemic has shown that the development of medical products for rare diseases continues to face financial and investment constraints. This challenge highlights the need for sustained support from governments and international institutions for research and development of pathogens with epidemic potential. The 2026 Bundibugyo outbreak provides several key lessons for the global community. First, early detection and rapid diagnosis are the most important factors in containing the epidemic. The 19-year interval between the 2007 BDBV outbreak and the 2026 outbreak underscores persistent shortcomings in investment toward decentralized, pan-ebolavirus diagnostic infrastructure, with diagnostic delays hindering timely outbreak identification in both instances. Second, the trust and active participation of local communities are as important as medical interventions. Additionally, the rapid cross-border transmission dynamics between the DRC and Uganda demonstrate that blanket travel restrictions and border closures are impractical. As communities in the Great Lakes region routinely cross national borders for trade and healthcare, coordinated regional surveillance and timely information sharing are likely to be more effective than broad border closures in mitigating disease transmission[8]. Third, the protection of health workers must be a priority in preparedness plans. Fourth, a "One Health" approach is essential for simultaneous monitoring of humans, animals, and the environment. Although BDBV is not a new pathogen, the lack of licensed medical interventions and limited investment in research reflect many of the vulnerabilities associated with the concept of "Disease X."[9]. Unlike Zaire Ebola Virus, for which licensed vaccines and monoclonal antibody therapies are available, BDBV forces public health responses to rely almost entirely on non-pharmaceutical interventions such as isolation and infection control[10]. This gap reflects the structural inequity in global health research and development funding, with pathogens affecting resource-limited regions receiving insufficient attention until they spark an international emergency[2]. The BDBV outbreak proves that global epidemic preparedness cannot be pathogen-selective; it requires proactive investment in broad-spectrum countermeasures and resilient frontline health systems[8]. In conclusion, the 2026 BDBV outbreak is a serious wake-up call for the global health system. The epidemic revealed that gaps in surveillance systems, diagnostic capacities, vaccine development, and preparedness for emerging diseases persist. Investing in health infrastructure, developing Pan-Ebolavirus vaccines, strengthening laboratories, expanding the One-Health approach, and supporting research on emerging zoonotic pathogens must be at the top of global health security priorities. Otherwise, the BDBV outbreak may be just a prelude to larger crises to come.

Ebolavirus↗

Towards personal health record: current situation, obstacles and trends in implementation of electronic healthcare record in Europe.

In this article, we define the electronic healthcare record and present its purpose as a tool for continuity of care. We briefly describe the current situation of usage and focus on the major challenges to wide implementation in Europe and beyond. Finally, we point out trends that show stronger involvement of the patients-citizens in the health care prevention and promotion processes, and discuss the impact on the future development of the electronic healthcare record into personal health records.

Computer Systems↗

Lessons from the front: implementing outcomes projects.

These issues are representative of the challenges facing those wishing to implement outcomes evaluations in the dramatically different settings of today's behavioral healthcare. To maintain acceptable levels of credibility, difficult issues such as these need to be addressed openly and assertively. We remain optimistic about the value of measuring the effects of behavioral healthcare interventions. Such measurement facilitates the development of communication across service providers and creates accountability where once there was none. When standards of quality research are applied, outcomes management offers great potential benefit to consumers, providers, and behavioral healthcare organizations.

Cost-Benefit Analysis↗

Pricing Combination Therapies: A Systematic Review of Value Attribution, Cost-Sharing Mechanisms and Policy Frameworks.

BACKGROUND: Combination therapies are increasingly central to modern pharmacotherapy, particularly in oncology and other high-burden diseases. However, pharmaceutical pricing and reimbursement systems remain largely designed for single-product-single-indication interventions. When multiple patented medicines are used together, especially when owned by different manufacturers, conventional pricing frameworks may struggle to align prices with the value of the combination while preserving incentives for innovation and timely patient access. OBJECTIVE: To identify, describe, and critically assess the methods, models, and policy frameworks proposed in the literature to establish prices for combination therapies, with particular attention to value attribution mechanisms, cost-sharing arrangements between manufacturers, and budget impact considerations. METHODS: A systematic literature review was conducted in accordance with PRISMA guidelines and a pre-registered Open Science Framework protocol. Searches were performed in MEDLINE, Scopus, Web of Science, EconLit, CRD databases, and grey literature sources for publications up to July 2025. Eligible studies analysed pricing approaches, economic models, reimbursement mechanisms, or policy frameworks relevant to combination therapies, including more recent multi-indication pricing literature. Given the heterogeneity of the literature, findings were synthesized using a structured narrative and thematic approach. RESULTS: Sixty-nine studies met the inclusion criteria. The literature was dominated by conceptual and policy analyses, with relatively few empirical or implementation-oriented studies. Value attribution emerged as the central methodological challenge in pricing combination therapies. Several complementary approaches were proposed to operationalise value attribution, including adaptations of indication- or pathway-based pricing, manufacturer cost-sharing arrangements, managed entry agreements, and outcome-based reimbursement mechanisms. Empirical evidence suggests that health systems continue to rely primarily on pragmatic and often partial solutions rather than fully specified pricing frameworks. A complementary review of the multi-indication pricing literature indicates that, although the two fields address different pricing problems, they share important methodological and institutional lessons that can inform the development of pricing frameworks for combination therapies. CONCLUSIONS: The literature provides a growing repertoire of conceptual approaches for pricing combination therapies but limited empirical evidence on implementation. Pricing frameworks should place value attribution at their core while combining complementary policy mechanisms adapted to national pricing and reimbursement systems. Lessons from multi-indication pricing provide a valuable foundation but require additional governance mechanisms to address value attribution, multi-manufacturer negotiation, and implementation challenges specific to combination therapies.

Journal Article↗

Revisiting community participation.

Community participation in health is a complex entity that has been examined extensively in the literature and continues to be of great interest among community health workers. The genesis of the idea and its conceptual development are primarily attributed to large multinational health institutions, particularly the World Health Organization. However, the implementation of community participation is the ultimate responsibility of local health programme initiators. It is therefore at the local level where day to day realities of incorporating community participation into health service delivery are confronted. This paper reviews the value of community participation in health and provides a detailed examination of the challenges facing its implementation and sustainability. In 1978, the World Health Organization placed community participation squarely at the centre of their strategy to achieve Health For All By The Year 2000. As the year 2000 nears, it is time to critically re-examine the notion of community participation and the most pressing challenges to its viability.

Community Health Planning↗

The Legnano radiology picture archiving and communication system/radiology information system project implementation.

The necessity to meet the ever-increasing diagnostic and interventional demands in the most cost-effective and efficient way led to the decision to turn the Department of Radiology at Legnano City Hospital nearly filmless. Crucial for the implementation of this challenging project was the development of a sophisticated and efficient digital architecture along with a nearly global renovation of the whole department, connecting it in the meantime to the hospital asynchronous transfer mode (ATM) backbone. The highlights and drawbacks faced in the implementation of the project are described and discussed.

Computer Systems↗

Implementing treatment and protecting the validity of the independent variable in treatment matching studies.

Treatment matching research is predicated on heterogeneity among subjects and their differential response to treatments. The sine qua non of a treatment matching study is the integrity of the treatment variable, since detection of client-treatment interactions requires delivery of treatments that are highly specific, consistent and distinct. Matching research thus presents particular challenges in treatment implementation, as greater heterogeneity in subjects may generate a broader array of problems than study treatments are designed to address, leading to several potential threats to treatment integrity. Moreover, as practiced outside of research settings, treatments for alcoholism are marked by ideological heterogeneity and a lack of purity across approaches. In this article we describe the strategies used in Project MATCH to protect treatment integrity while treating a large and heterogeneous sample of alcoholics in a number of geographically distant sites. These include: strategies for treating a variety of alcoholics within a single treatment approach; development of clinical care guidelines and clinical deterioration criteria; specification of treatments in manuals with minimization of overlapping active ingredients; selection criteria for therapists intended to enhance both generalizability of findings as well as treatment integrity; and extensive therapist training and monitoring.

Alcoholism↗

RESEARCH: Environmental Priority-Setting Through Comparative Risk Assessment.

/ More than three dozen states and communities in the United States have undertaken comparative risk projects to establish environmental priorities and, thus, to address their most important environmental problems. This trend has been supported by a growing consensus among subnational governments that they are increasingly encumbered with prescriptive, top-down environmental regulations and policies without regard to the policies' efficacy, benefit, or cost. Despite the rising use of comparative risk projects, few studies have systematically analyzed and compared them. The purpose of our research was to fill this void. Weexamined key elements of comparative risk projects including how they were administered; how they involved the public; how they characterized, ranked, and prioritized risks; whether and how they implemented ranking results; and whether and how they evaluated project results. The research team reviewed project reports and independent studies and undertook a survey of risk project participants. Results showed that while many priority-setting projects have successfully identified environmental problems and characterized and ranked their risks, few have developed risk-management strategies. Successes to date include increasing environmental awareness among participants; building consensus and establishing collaboration among diverse stakeholders; and establishing novel means of public involvement. However, no project that we evaluated has, as yet, documented achievement of a system for developing and implementing environmental priorities in order to mitigate their most significant environmental problems. Further, it may be difficult to know if and when this objective is met unless projects establish mechanisms for evaluating their results, a project element that was often missing or limited in scope. We also discuss the challenges to developing implementable risk-management strategies and conclude by citing future research needs. KEY WORDS: Comparative risk assessment; Environmental priorities; Risk-ranking

Journal Article↗

A JAVA implementation of a medical knowledge base for decision support.

Distributed decision support is a challenging issue requiring the implementation of advanced computer science techniques together with tools of development which offer ease of communication and efficiency of searching and control performance. This paper presents a JAVA implementation of a knowledge base model called ARISTOTELES which may be used in order to support the development of the medical knowledge base by clinicians in diverse specialised areas of interest. The advantages that are evident by the application of such a cognitive model are ease of knowledge acquisition, modular construction of the knowledge base and greater acceptance from clinicians.

Artificial Intelligence↗

Preventing Halloween arson in an urban setting: a model for multisectoral planning and community participation.

Arson is a violent crime and a public health problem that causes injuries and deaths, destroys homes, and destabilizes neighborhoods. During the late 1970s, pre-Halloween pranks in Detroit, Michigan, turned destructive when hundreds of fires were set deliberately throughout the city; in 1984, a record of 810 fires were set during the Halloween period. In 1985, a city wide anti-arson campaign that involved the mobilization and training of thousands of community volunteers was begun in Detroit. This report describes the multiple components of the anti-arson intervention from 1985 through 1996 and changes in the incidence of Halloween fires. Both the decrease in annual Halloween arson fires after the intervention began and the inverse relationship between the number of volunteers and the number of fires suggest a causal effect. This study illustrates the capacity of an urban community to mobilize its residents and stakeholders, the importance of community participation and multisectoral partnerships in program planning and implementation, and the challenges faced in retrospectively evaluating an apparently successful, complex, community-based intervention.

Adolescent↗

Financing and health system capacity for precision medicine in Asia: a six country landscape analysis.

BACKGROUND: Precision medicine (PM) adoption is accelerating across Asia, but implementation remains uneven due to differences in financing, infrastructure, governance, and health-system readiness. OBJECTIVES: To examine how six Asian countries (Singapore, South Korea, China, Malaysia, Thailand, and Indonesia) adopt, finance, and integrate PM technologies, and identify common implementation patterns and challenges. METHODS: A landscape review of peer-reviewed literature, government publications, and HTA reports (2010-2026) was conducted, supplemented by stakeholder consultations. PM applications were grouped into public health screening (hereditary breast and ovarian cancer [HBOC] and familial hypercholesterolemia [FH] cascade testing), next-generation sequencing (NGS) applications (rare diseases, oncology, pharmacogenomics), and AI-enabled PM. Evidence was synthesized across access, awareness, reimbursement, and implementation. RESULTS: Public health genomic screening demonstrated the highest implementation readiness, followed by precision oncology, while rare disease diagnostics remained infrastructure-dependent and pharmacogenomics and AI-enabled PM platforms were at earlier stages. Four readiness profiles emerged: highly aligned systems; reimbursement-constrained systems with strong governance and infrastructure; systems strengthening governance, public financing and infrastructure; and strategy-led systems expanding implementation through pilot programs and referral centers. CONCLUSIONS: PM implementation across Asia remains heterogeneous. The identified readiness profiles highlight governance, financing, and infrastructure priorities for sustainable and equitable PM diffusion.

Asia↗

Managing what you measure: creating outcome-driven systems of care for youth with serious emotional disturbances.

This article presents the California System of Care Model for youth with severe emotional disturbances as an illustration of how ongoing assessment of the costs and outcomes of service delivery can be an integral part of a service delivery model. The core of this model, developed initially in Ventura County, California, is a five-step planning process that guides care system development and implementation. The implications of each stage of the planning process for evaluation and feedback at the child, family, and system levels are highlighted. A set of principles for selecting outcome measures deriving from the planning process are also presented that, in conjunction with the planning model, serve as guidelines for establishing outcome measures within care systems. The resulting specific plan for measuring system- and client-level outcomes deriving from this process, along with challenges to the implementation of the outcome management plan, is described.

California↗