Success Factors Research Articles

Efficacy of gastric per-oral endoscopic myotomy remains similar after failure of interventional techniques in refractory gastroparesis

Background and aimsGastric per-oral endoscopic myotomy (G-POEM) is a new therapeutic option for the treatment of refractory gastroparesis. However, the outcome of G-POEM after the failure of gastric electrical stimulation (GES) or other pylorus-targeting therapies has been poorly reported. MethodsData were collected from patients referred for G-POEM for refractory gastroparesis. The efficacy in patients with previous interventional techniques was compared to patients naïve to instrumental technique. The primary endpoint was the 6-month clinical success rate, defined as at least a 1-point decrease in the Gastroparesis Cardinal Symptom Index (GCSI). ResultsAmong 48 patients referred for G-POEM, 32 patients had had previous instrumental treatments (66%): 15 (31%) had had GES, and 17 (35%) had had pyloric endoscopic dilation or toxin injection. The technical success rate was 100%. At 6 months, clinical success was achieved in 25/48 patients (52%) and the GCSI decreased from 3.38 (2.94–3.95) to 2.25 (1.11–3.36) (p < 0.001). The 6-month success rate was similar in patients with or without previous instrumental treatment (50.0% vs 56.3%; p = 0.41). The complication rate was also similar in the two groups (6.3% vs 12.5%; p = 0.59), with only one severe adverse event. The only predictive factor for success at 6 months was a higher body mass index (OR = 1.14 [1.01–1.32]; p = 0.05). ConclusionG-POEM is safe and remains effective after GES or previous pyloric treatment failure, with 50% efficacy at 6 months. The therapeutic strategy in refractory gastroparesis remains to be defined.

Mechanisms of Thermal Decomposition in Spent NCM Lithium-Ion Battery Cathode Materials with Carbon Defects and Oxygen Vacancies.

Resource recovery from retired electric vehicle lithium-ion batteries (LIBs) is a key to sustainable supply of technology-critical metals. However, the mainstream pyrometallurgical recycling approach requires high temperature and high energy consumption. Our study proposes a novel mechanochemical processing combined with hydrogen (H2) reduction strategy to accelerate the breakdown of ternary nickel cobalt manganese oxide (NCM) cathode materials at a significantly lower temperature (450 °C). Particle refinement, material amorphization, and internal energy storage are considered critical success factors for the accelerated decomposition of NCM cathode materials. In our proposed approach, NCM cathode materials can develop active sites with carbon defects (Cv) and oxygen vacancies (Ov), which improve the reduction and breakdown of H2. The adsorbed H2 on the surface of NCM decomposes into H* and combines with oxygen to form OH species, which can be facilitated by Ov via the enhanced charge transfer. The introduced Cv can enhance H2 cracking and generate *C-H species to promote the thermal decomposition of NCM. The presence of defects proves to foster the preferential reduction of Mn(IV) by H2, leading to a lower activation energy for the NCM decomposition (from 139 to 110 kJ/mol) with less H2 consumption. Life cycle assessment suggests a reduction of 4.42 kg CO2 eq for the recycling of every 1.0 kg of retired batteries. This study can promote material circularity and minimize the environmental burden of mining technology-critical metals for a low-carbon transition.

Investigating the Role of Artificial Intelligence in Predicting Consumer Preferences (A Little Study in the Tehran Market)

Accurately predicting consumer preferences is one of the key success factors in marketing strategies. This research investigated the effectiveness of different artificial intelligence models in predicting consumer preferences in the Tehran market. The required data was collected through a questionnaire including demographic characteristics and purchase preferences from 400 consumers in Tehran. After data preprocessing, random forest, support vector machine (SVM) and logistic regression models were implemented to predict consumer preferences. The results showed that the random forest model has the best performance among the investigated models with an accuracy of 87%. Also, the data analysis showed that the variables of age, income and education have the greatest influence in predicting purchase preferences. These findings can help local businesses to optimize their marketing strategies and achieve better results in attracting customers.

Toward the successful adoption of Lean Six Sigma in manufacturing organizations: proposing a causal model

PurposeThis paper aims to provide new and valuable insights for organizations that have decided to implement Lean Six Sigma (LSS) as a strategy for continuous improvement in search of business excellence. This objective is achieved through statistically modeling the causal relationships between the critical success factors (CSFs) of LSS for a successful deployment of this strategy.Design/methodology/approachA statistically validated questionnaire was used to collect information from LSS practitioners in manufacturing industries located on Mexico’s northern border. Some hypotheses for relationships between LSS CSFs are developed theoretically first and empirically tested later using the structural equation modeling technique.FindingsProposed relationships between LSS CSFs have been demonstrated to be statistically significant, making clear that this implementation should always begin with a strong and decided participation and commitment of top management. Later, other CSFs must be activated and put into operation in a specified order to increase the probability of a successful implementation reflected in well-executed continuous improvement projects and achieving the expected benefits.Originality/valueThis paper proposes a structural model which has been statistically validated with information directly collected from skilled practitioners who have developed continuous improvement projects using the LSS methodology. Further, some relationships between LSS CSFs that, to the best of the author’s knowledge, had not been demonstrated empirically are now explored and verified in our work.

Key Success Factors in Entrepreneurial Development among Women Micro-Entrepreneurs in Malaysia

This study explores factors influencing entrepreneurial development among women microentrepreneurs in Malaysia. Using self-administered questionnaires distributed to 50 participants, the research examined four key factors: family support, business prospects, sociocultural factors, and government support, with entrepreneurial development as the dependent variable and perception of success as a mediator. The data was analyzed using SmartPLS software. Results indicated that most variables had reliable Cronbach Alpha values, though issues with discriminant validity were found. The structural model showed substantial explanatory power, and most path coefficients indicated positive relationships, except for the link between government support and entrepreneurial development. However, only one hypothesis was accepted, revealing that socio-cultural factors significantly influence entrepreneurial development through the perception of success. The study suggests that future research should focus on specific sectors within microenterprises and include a larger sample size for a broader understanding of women’s economic contributions. This research provides valuable insights for policymakers aiming to enhance support for women microentrepreneurs in Malaysia.

How About Enhancing Organizational Security

Despite its importance, there is little research on how organizations perceive information security management. This study classified critical success factors in information security management at the organizational level. A performance model was designed to empirically test the validity of these factors. Data were collected through an online questionnaire from prominent information technology managers and specialists who worked in Saudi organizations and contributed to decision making about information security. The data were analyzed using structural equation modeling. The selected constructs—business alignment, top management support, information security awareness, and security controls—appeared to significantly influence information security management, with the balanced scorecard shown as an effective way of measuring performance.

Towards the Path of Process Digitalization

Organizations continue to have difficulty achieving the full potential of digital transformation (DT). DT can be conceived as a process of change in the business model, driven by digital innovation and the intensive use of ICTs to add value to the customer, processes and the business itself in way to change, threaten or complement the market. This research aims to review the literature on digital transformation and create a framework for the description of its benefits, challenges, critical success factors, and digital technologies. The framework was developed from a set of 112 articles retrieved by a systematic literature review that underwent bibliometric analysis. The most frequently cited technologies were cloud computing, artificial intelligence, the Internet of Things, and Big Data. Their impact on organizations' processes is discussed. Agility is the critical factor that stood out from the rest. The main benefit identified was innovation. The main challenges identified were resistance to change and a lack of skills. The framework helps better predict how internal processes will be affected by digital transformation.

SIM-RS Success Factors Based on DeLone and McLean Theory at Hermina OPI Jakabaring Hospital

The information technology system is a technology used to process data, including processing, obtaining, compiling, storing, and manipulating data in various ways to produce quality information, namely information that is relevant, accurate, and timely, which is used in personal, business, and government purposes and is strategic information for decision making. Information systems with technological support are one of the systems that play a significant role in organizational success. The purpose of this study was to determine the success factors of the management information system (SIM-RS) at Hermina OPI Jakabaring Hospital based on the DeLone and McLean theory, which consists of six variables, namely system quality, information quality, service quality, use, user satisfaction and benefits. This research was conducted at Hermina OPI Jakabaring Hospital with a sample of 48 hospital employees who use SIM-RS. The results obtained from this study were based on the system quality variable, which stated that as many as 48% of employees stated SIM-RS quality. Information quality variables as much as 54% of respondents stated that SIM-RS was qualified. As many as 79% of respondents stated that they were satisfied with the service quality variable of SIM-RS. The use variable as many as 43% of respondents stated that SIM-RS was often used. As for the user satisfaction variable, as many as 94% of respondents stated that SIM-RS was of high quality. The benefit variable was that as many as 56% of respondents stated that SIM-RS was useful.

Correlation between Civil Engineering Student’s Performance in Mathematics and Academic Success

This research aims to examine the widely accepted paradigm that proficiency in mathematics significantly influences the academic success of Civil Engineering students. Using data from 119 students of the 2018 and 2019 cohorts at Universitas Mercu Buana, the study analyzes the correlation between their performance in Mathematics courses (Mathematics 1, 2, and 3) and their academic success, as measured by timely graduation and GPA. The data were processed using the Spearman correlation method, given its non-normal distribution as determined by Kolmogorov-Smirnov and Shapiro-Wilk tests. The results indicate a significant positive correlation (r = 0.313, p = 0.001) between mathematical performance and academic success, with students achieving higher mathematics scores more likely to graduate on time. These findings suggest that while mathematical ability is a critical factor in academic success, other elements such as motivation, teaching methods, and external support should also be considered in improving student outcomes.

Exploring Smart Mobility Potential in Kinshasa (DR-Congo) as a Contribution to Mastering Traffic Congestion and Improving Road Safety: A Comprehensive Feasibility Assessment

The urban landscape of Kinshasa, Democratic Republic of Congo, faces significant mobility challenges, primarily stemming from rapid urbanization, overpopulation, and outdated infrastructure. These challenges necessitate the exploration of modern smart mobility concepts to improve traffic flow, road safety, and sustainability. This study investigates the potential of solutions such as Mobility-as-a-Service, car sharing, micro-mobility, Vehicle-as-a-Service, and electric vehicles in addressing these challenges. Through a comparative analysis of global implementations, this research identifies key success factors and barriers that inform the feasibility of integrating these solutions into Kinshasa’s unique socio-political and infrastructural context. The study presents a conceptual framework, supported by stakeholder analysis, for adapting these solutions locally. A detailed feasibility analysis considers technological, economic, social, environmental, and regulatory factors, offering a clear roadmap for implementation. Drawing on lessons from cities facing similar urban mobility challenges, the paper concludes with actionable recommendations and insights for policymakers and urban planners in Kinshasa. This research not only highlights the viability of smart mobility solutions in Kinshasa but also contributes to the broader discourse on sustainable urban development in rapidly growing cities. While smart mobility studies have largely focused on cities with developed infrastructure, there is a gap in understanding how these solutions apply to cities like Kinshasa with different infrastructural and socio-political contexts. Previous research has often overlooked the challenges of integrating smart mobility in rapidly urbanizing cities with underdeveloped transportation systems and financial constraints. This study fills that gap by offering a feasibility analysis tailored to Kinshasa, assessing smart mobility solutions for its traffic congestion and road safety issues. The smart mobility solutions studied—Mobility-as-a-Service (MaaS), car sharing, electric vehicles (EVs), and micro-mobility—were chosen for their ability to address Kinshasa’s key mobility challenges. MaaS reduces reliance on private vehicles, easing congestion and improving public transport. Car sharing offers affordable alternatives to vehicle ownership, essential in a city with income inequality. EVs align with sustainability goals by reducing emissions, while micro-mobility (bikes and e-scooters) improves last-mile connectivity, addressing public transit gaps. These solutions are adaptable to Kinshasa’s context and offer scalable, sustainable improvements for urban mobility.

Critical Success Factors and Acceptance of the Casemix System Implementation Within the Total Hospital Information System: Exploratory Factor Analysis of a Pilot Study.

The health care landscape is evolving rapidly due to rising costs, an aging population, and the increasing prevalence of diseases. To address these challenges, the Ministry of Health of Malaysia implemented transformation strategies such as the Casemix system and hospital information system to enhance health care quality, resource allocation, and cost-effectiveness. However, successful implementation relies not just on the technology itself but on the acceptance and engagement of the users involved. This study aims to develop and refine items of a quantitative instrument measuring the critical success factors influencing acceptance of Casemix system implementation within the Ministry of Health's Total Hospital Information System (THIS). A cross-sectional pilot study collected data from medical doctors at a hospital equipped with the THIS in the federal territory of Putrajaya, Malaysia. This pilot study's minimum sample size was 125, achieved through proportionate stratified random sampling. Data were collected using a web-based questionnaire adapted from the human, organization, and technology-fit evaluation framework and the technology acceptance model. The pilot data were analyzed using exploratory factor analysis (EFA), and the Cronbach α assessed internal reliability. Both analyses were conducted in SPSS (version 25.0; IBM Corp). This study obtained 106 valid responses, equivalent to an 84.8% (106/125) response rate. The Kaiser-Meyer-Olkin measure of sampling adequacy was 0.859, and the Bartlett test of sphericity yielded statistically significant results (P<.001). Principal component analysis identified 9 components explaining 84.07% of the total variance, surpassing the minimum requirement of 60%. In total, 9 unique slopes indicated the identification of 9 components through EFA. While no new components emerged from the other 7 constructs, only the organizational factors construct was divided into 2 components, later named organizational structure and organizational environment. In total, 98% (41/42) of the items had factor loadings of >0.6, leading to the removal of 1 item for the final instrument for the field study. EFA ultimately identified 8 main constructs influencing Casemix implementation within the THIS: system quality, information quality, service quality, organizational characteristics, perceived ease of use, perceived usefulness, intention to use, and acceptance. Internal reliability measured using the Cronbach α ranged from 0.914 to 0.969, demonstrating high reliability. This study provides insights into the complexities of EFA and the distinct dimensions underlying the constructs that influence Casemix system acceptance in the THIS. While the findings align with extensive technology acceptance literature, the results accentuate the necessity for further research to develop a consensus regarding the most critical factors for successful Casemix adoption. The developed instrument is a substantial step toward better understanding the multidimensional challenges of health care system transformations in Malaysia, postulating an underpinning for future fieldwork and broader application across other hospitals.

Climate change health challenges – a study on heat health-related adaption measures in Germany

Abstract Problem Increasing extreme heat events of summer 2003, 2010 and 2015 induced a rising impact on heat health morbidity and mortality in Germany. A considerable proportion of urban population is affected by thermal discomfort due to the urban heat island burden during summer, particularly vulnerable people at risk. Concerted action to develop appropriate heat health adaptation measures is needed. Description As part of the National Adaptation Strategy to Climate Change an expert working group published ‘Recommendations for Action for the Preparation of Heat Action Plans’ for Germany in 2017. A first country-wide project had been conducted between 2019 and 2023 which investigated the status and impact of current or planned Heat Health Action Plans (HHAP), and adaptation measures appropriate to protect and prevent human health. As part of this project an online survey was conducted in May/June 2020 on the awareness and degree of use of the 2017 recommendations and the development and implementation of HHAP. Results This survey had been carried out to assess the current state of affairs as well as factors of success and barriers in the development and implementation of HHAP, with a particular focus on municipal environment and health administrations. In total 116 questionnaires had been responded, mainly by participants from the environment sector (53%), and 32% from the public health sector. More than half of the respondents indicated to be aware of the recommendations (very well-known at the federal state level: 90%, at county level known by 43%), which were identified as very helpful by 81%. Respondents from large cities (&amp;gt; 100 000 inhabitants) were main contributors to the study (41 of 81 large cities replied; 34 rural counties responded). Key messages • The 2017 recommendations had been identified and used to start with HHAP. • Decision makers should develop structures for regulations that anchor HHAP as a nationwide instrument to be established timely.

International case studies: success and failure factors for digital transformation in healthcare

Abstract Background The digitalization of healthcare systems is expected to lead to improvements in the quality and efficiency of healthcare services. Despite Germany’s leading economic and technological position, the implementation and utilization of digital health solutions is lagging far behind internationally. A look at other countries shows that the digital transformation in healthcare can be successful, and that financial resources and available technologies are not the only determining factors. Rather, it is a matter of political processes, the interests of different stakeholders and the acceptance of patients and HCPs. Methods While the impression often arises that the selection of countries in case studies is random, eight international case studies were identified using a scientific method. A systematic and multi-stage process was developed to select the case studies, taking into account various relevant criteria (e.g. degree of digitalization, geography, economy). The implementation and use of various digital health tools will be examined in selected countries and healthcare systems, in which the digitalization of the healthcare system is particularly advanced. Semi-structured interviews will be conducted with experts from the international healthcare systems between fall 2024 and summer 2025. The findings will inform the development of recommendations for actions for policymakers in Germany. Conclusions This study aims to provide new insights into the key success and failure factors for the digital transformation of healthcare systems. Recommendations for action, tailored specifically to the German healthcare system and aimed at policymakers, are intended to support decision-makers in setting the course for a successful further transformation towards digital health. Key messages • International case studies will be used to identify factors that contribute to the success or failure of digital transformation in healthcare systems. • Based on the findings of this research, recommendations for action will be developed for policymakers in Germany to set the course for the successful further digitalization of healthcare.

Self-help groups for people with migration experience

Abstract Background Self-help groups as voluntary associations of people to jointly cope with illnesses or psychological problems are sometimes regarded as the fourth pillar of the health care system. Still, so far people with migration experience do not resp. less participate in self-help groups in Austria. The project aimed therefore on identifying related obstacles and solutions. Methods A mixed-methods approach was chosen: a systematic literature search; interviews, focus groups and workshops; including people with migration experience and experts. A concept for self-help groups was delevoped in a participatory way, piloted in Vienna and evaluated. Results The study confirmed, that the concept of self-help groups as they are usually implemented in Austria is not known among people with migration experience. But there is a great need for exchange among those with a chronic illness or their relatives. Success factors and obstacles are mainly related to the access to people with a migration experience and the way how such self-help groups are set up. Much time needs to be invested in developing a common understanding of the concept of a self-help group and in maintaining contacts. However, despite the of the personal benefit, the often stressful life situation of people with migration experience is an obstacle for continuous participation or even initiating a self-help group oneself. Conclusions The project showed, that, although the concept of self-help groups is often not known, people with a migration experience can benefit from it. But more support is needed than is usually provided by the established self-help organisations. A change in the understanding of self-help groups on the one hand and integrating such activities in services/associations working with migrants on the other hand could improve the access for people with migration experience to this important pillar of the health care system. Key messages • Several obstacles hinder people with migration experience in participating in self-help groups in Austria, e.g. the concept itself is unknown to them. • Implementing a specific concept for self-help groups with support by professionals can facilitate the access of this population group to an important part of the health care system.

Comparative Analysis of Digital Transcriptomics Between Pre- and Post-Treatment Samples of Patients with Locally Advanced Cervical Cancer: A Preliminary Study

Cervical cancer remains a leading cause of cancer-related deaths in women worldwide, with limited treatment options for advanced stages and therapy-resistant cases. Despite advances in treatment, the variability in the patient response to standard therapies underscores the need for molecular biomarkers to guide personalized treatment strategies. This study aimed to explore the transcriptomic changes associated with the therapeutic response in locally advanced cervical cancer, focusing on 770 immune-related genes. We employed a digital multiplexed gene expression analysis, comparing gene expression profiles between matching pre- and post-treatment samples. The results revealed the significant upregulation of C7 and EGR2 in the post-treatment samples, suggesting that enhanced immune activity is a key factor in therapeutic success. Conversely, IL17RB, S100A7, and SAA1 were upregulated in the pre-treatment samples, potentially indicating resistance mechanisms. Pathway enrichment analysis highlighted that the immune response and apoptosis pathways are crucial to post-treatment changes. These findings suggest that C7, EGR2, and IL17RB may serve as biomarkers for predicting therapeutic outcomes and could inform the development of more effective, individualized treatment strategies for cervical cancer. This study provides new insights into the molecular mechanisms underlying treatment response and resistance.

Health literacy in the evolving era of personalised medicine and digital health

Abstract Health literacy is pivotal for advancing public health, empowering individuals to grasp health information and make informed decisions. However, health literacy levels are often influenced by social and economic factors, with lower levels correlating with reduced disease-specific knowledge and underutilization of preventive health services. As healthcare technology rapidly evolves, particularly with the advent of personalised medicine (PM) and novel genetic testing methods, there’s an increasing demand for heightened health literacy to effectively navigate these transformative innovations and optimize health outcomes. The European ExACT project aims to assess the understanding of PM and related technologies across the EU. In this context, through a survey conducted in several European countries, including Italy, France, Spain, Poland, the Netherlands, Romania, Hungary, and Germany, demographic data and attitudes towards PM, genetic testing, health portals, and big data were gathered. Logistic regression analysis identified factors influencing knowledge and attitudes. Among 6581 respondents, the results highlight a broad awareness of genetic testing (81%) and health portals (54%) yet a lesser familiarity with PM (48%) and big data (37%). Education level, age, and gender influenced awareness, with Hungary showing significant awareness across all topics (OR 2.09 95%CI 1.46-2.98), Spain excelling in big data (OR 1.88 95%CI 1.55-2.27), and Poland leading in genetic testing knowledge (OR 2.68 95%CI 1.82-3.96). Differences between countries may indicate successful policies and factors that can be replicated. Overall, the study emphasizes the importance of enhancing health literacy and sheds light on the predicting role of sociodemographic factors. It underscores the significance of bolstering health literacy to effectively navigate the advancements in PM and digital health, improving health outcomes in light of these evolving healthcare landscapes. Key messages • In Europe, awareness of personalised medicine, health portals and big data is lacking. Educational initiatives are crucial for effective navigation of innovations, considering regional differences. • Social and economic factors affect health literacy levels, impacting disease-specific knowledge and healthcare utilization.

Is Innovation a Key Factor for Success of Start Ups in Croatia?

Is Innovation a Key Factor for Success of Start Ups in Croatia?

How research contributions of professor Jiju Antony have influenced the field of quality management: an appraisal and critique

PurposeThe purpose of this study is to apply bibliometric techniques to critically examine the contributions of Professor (Dr) Jiju Antony in the domain of quality management research over a period close to 30 years (i.e. 1995 to 2023).Design/methodology/approachThe study incorporates a bibliometric analysis approach using VoSviewer software package to critically examine the contributions and trends in publications on Scopus indexed publications of Antony, followed by an industry wide evaluation of contributions made. Thematic analysis of the bibliographic data was imported in comma-separated values (CSV) format by selecting Antony (last name) and Jiju (first name) in the author search tab in Scopus. The search was made on September 09, 2023 and bibliographic records of 429 documents were considered for the analysis. The analysis was carried out in terms of most frequent keywords used, sources with most frequent publications, thematic analysis of most cited works and global collaborations.FindingsAntony has focused his research interest largely in the domain of quality management, publishing his research in top rated journals in the domain with a broad network of international collaborators. Antony has received 18,802 and 40,947 citations in Scopus and Google Scholar, respectively. This signifies the impact that Antony has created through his research publications. His major contributions are on the topics of six sigma, lean six sigma, continuous improvement, critical success factors and quality management practice implementations in various organizations. Diverse methodologies both qualitative and quantitative were utilized to conduct his research. However, his body of work is not without criticism. Such criticism includes the limited scope of work, with narrow focus on ISO 9001 and QMS standards, Total Quality Management (TQM). Critique also highlights the necessity for more depth, following insufficient exploration of distinctions between TQM and operational excellence (OPEX) methodologies like lean, six sigma, kaizen and agile. Antony’s work has yet to consider a diverse range of industry sectors, in terms of implementation of quality management principles, geographical location, the impact of national culture on corporate performance and explore data quality influence on decision-making. Notably, there is clear opportunity to consider the service sector in future research.Originality/valueTo best of the authors’ knowledge, there are few previous studies conducted using bibliometric analysis for analyzing the work of an individual. Therefore, the present study aims to set a trend whereby bibliometric analysis can be used to recognize and critically asses the contributions of other researchers in their respective domains.

6.A. Round table: Building a Public Health Innovation Ecosystem in the WHO European Region

Abstract Background In the WHO European region, challenges persist in bridging the gap between innovative health solutions and their widespread implementation at a population scale. Despite advancements in AI, digital systems, precision medicine, genomics, and social innovations, these potential solutions often go underutilized. Immediate action is necessary to address the multifaceted issues faced by health systems, such as aging populations, noncommunicable diseases, antimicrobial resistance, and climate change impacts on health. To effectively tackle these challenges, it is essential to develop and implement innovations that respond to critical health issues in a contextual manner. Establishing an innovation ecosystem that fosters collaboration, strategic partnerships, and effective scaling of innovative solutions is crucial. Robust policy frameworks and governance mechanisms are needed to engage with the private sector and other nontraditional public health partners to drive equitable and value-driven innovations in public health. Rationale The workshop at the 17th European Public Health Conference 2024 aims to explore the role of public-private collaborations in driving innovative solutions for public health. By examining synergies between sectors, the workshop seeks to accelerate innovation, improve preventive services, and enhance health delivery to address pressing public health challenges. Leveraging the private sector’s expertise and resources is crucial in addressing complex health issues and improving public health outcomes. The workshop will provide a platform to strategize on utilizing these collaborations for sustainable innovation in public health. Overall Objective Foster a deeper understanding of the benefits and challenges of public-private collaborations in advancing public health innovation. Specific Objectives - Facilitate knowledge exchange on successful collaboration models between the private sector and public health entities. - Identify key strategies to utilize private sector resources for innovative public health solutions. Outcomes: - Inspire the formation of new partnerships to drive innovation in public health. - Develop actionable insights to enhance collaboration between the private sector and public health stakeholders for sustainable innovation. Workshop Structure: The workshop will begin with a Scene-setting presentation of Dr Gauden Galea, Strategic Advisor to the Regional Director, WHO Europe, on WHO Europe’s approach to leveraging innovation for public health outcomes (10 mins). Panelists will then discuss concrete examples of public-private collaboration leading to improvements in public health outcomes (40 mins). Key success factors for meaningful partnerships with the private sector will be explored, emphasizing policy considerations and the importance of behavioral and cultural insights in innovation. Interactive Q&amp;A session with audience will close the meeting (10 mins). Key messages • Establishing an innovation ecosystem fosters partnerships that drive equitable and sustainable solutions in public health. • Public-private collaborations accelerate innovation for public health, vital for addressing complex challenges effectively. Speakers/Panelists Götz Gottschalk, YouTube, Berlin, Germany Götz Gottschalk (Head of Health, YouTube Germany) will discuss the role of technology, particularly YouTube, in disseminating accurate health information to the public. He will also share insights on how digital platforms can be utilized to promote public health initiatives, address misinformation, and engage with diverse audiences effectively. His talk will also focus on the importance of collaboration between the public and private sectors in leveraging technology for public health outcomes, emphasizing the need for responsible and accurate health communication in the digital age. Phillippe Menu SOPHiA Genetics, Rolle, Switzerland Phillippe Menu (Chief Medical Officer and Chief Product Officer, SOPHiA Genetics, Switzerland) will discuss how data-driven approaches, artificial intelligence, and genomic insights can revolutionize diagnostics, treatment decisions, and personalized medicine. His talk will highlight the potential of integrating advanced technologies into public health to improve patient outcomes, enhance clinical decision-making, and drive innovation in the field of precision medicine. Els Torreele Institute for Innovation and Public Purpose, University College London, London, UK Els Torreele (Policy Associate, UCL Institute for Innovation and Public Purpose) will discuss policy frameworks, governance structures, and strategies to promote equitable access to public health innovations, particularly in low- and middle-income countries. Her talk will shed light on the intersection of innovation, public policy, and global health, emphasizing the importance of addressing systemic barriers to ensure that innovative healthcare solutions reach those who need them the most. Andrew Nerlinger Global Security Fund, Geneva, Switzerland Andrew Nerlinger (Executive Director, Global Security Fund) will discuss pandemic preparedness, biosecurity measures, and the role of non-profit organizations in addressing global health threats. His talk will explore how innovative approaches, partnerships, and funding mechanisms can strengthen global health security, mitigate risks, and build resilience in the face of emerging health crises. Susan Michie Centre for Behaviour Change, University College London, London, UK Susan Michie (Professor of Health Psychology and Director of the UCL Centre for Behaviour Change) will discuss evidence-based strategies for promoting behavior change, improving health outcomes, and addressing public health challenges through behavioural and cultural insights. Her talk is expected to highlight the importance of understanding human behavior, motivations, and decision-making processes in designing effective health interventions and shaping public health policies.

Key requirements for achieving EU-wide programme change

Abstract Issue Across the world, thousands of projects aim for equitable improvement in health for people who are experiencing ongoing avoidable stigma, discrimination and disadvantage however very little change is often achieved. Description of the problem In this presentation we explore key requirements for project-level change to ensure EU-wide programme change is achieved. Results The two most common causes of project failure are a) the innovation is not suitable, needed or wanted (also called theory failure) or b) implementation failure. This presentation shares strategies to mitigate risks of project failure through co-design processes and communication, drawing from 30 years of experience from the entire implementation process from ideation to scale up. These experiences include projects from over 30 countries, including partnerships with the World Health Organization, governments and industry focused on health literacy, self-management, care pathways, workplace health, hospital services redesign, First Nations health and migrant health. Common success factors include balancing top-down needs with co-designed inputs and with previous preferred or good practice (which may have come from controlled trial evidence generated in different contexts). The intervention must co-implemented to serve stakeholder’s needs at all levels, from citizens to decision makers. Lessons The United Nations (UN) and private sector apply system-wide approaches to affect large scale change. This knowledge is valuable for large public health programmes aiming to integrate equity and diversity in project processes to minimize implementation failure.