Public Decision Research Articles

To share or not to share – understanding individuals’ willingness to share biomarkers, sensor data, and medical records

ABSTRACT Technological advances in the recent past made it possible for researchers to collect and analyze large amounts of health data at unprecedented scale and speed. For example, fitness trackers and smartwatches produce steady flows of information on individuals’ health. Biomarker data and medical records allow to study individuals at new levels of granularity. The COVID-19 pandemic has highlighted that access to such data for health research and evidence-based public policy decision-making is essential. However, having access to data depends on individuals’ willingness to share their data with others. In this paper, we analyze the factors that may affect the probability of individuals to share their biomarker, health, and sensor data using German survey data and a survey experimental vignette design. We study the impact of data type, recipient, and research purpose on respondents’ willingness to share their data as well as the effects of respondents’ own medical and data sharing history. Overall, participants’ willingness to share biomarker data was higher than the willingness to share other data types. Moreover, those who had shared data before were more willing to do so again. In addition, natural language processing analysis of textual responses capturing respondents’ motives to share their data shows that individuals do understand how valuable their data is for researchers. However, results also underscore that addressing concerns about the protection of data need to be taken seriously. Emphasizing the value of data shared for research and their purpose may help to increase trust and willingness to share data.

Global projections of heat exposure of older adults

The global population is aging at the same time as heat exposures are increasing due to climate change. Age structure, and its biological and socio-economic drivers, determine populations’ vulnerability to high temperatures. Here we combine age-stratified demographic projections with downscaled temperature projections to mid-century and find that chronic exposure to heat doubles across all warming scenarios. Moreover, >23% of the global population aged 69+ will inhabit climates whose 95th percentile of daily maximum temperature exceeds the critical threshold of 37.5 °C, compared with 14% today, exposing an additional 177–246 million older adults to dangerous acute heat. Effects are most severe in Asia and Africa, which also have the lowest adaptive capacity. Our results facilitate regional heat risk assessments and inform public health decision-making.

Research outcomes informing the selection of public health interventions and strategies to implement them: A cross-sectional survey of Australian policy-maker and practitioner preferences

BackgroundA key role of public health policy-makers and practitioners is to ensure beneficial interventions are implemented effectively enough to yield improvements in public health. The use of evidence to guide public health decision-making to achieve this is recommended. However, few studies have examined the relative value, as reported by policy-makers and practitioners, of different broad research outcomes (that is, measures of cost, acceptability, and effectiveness). To guide the conduct of research and better inform public health policy and practice, this study aimed at describing the research outcomes that Australian policy-makers and practitioners consider important for their decision-making when selecting: (a) public health interventions; (b) strategies to support their implementation; and (c) to assess the differences in research outcome preferences between policy-makers and practitioners.MethodAn online value-weighting survey was conducted with Australian public health policy-makers and practitioners working in the field of non-communicable disease prevention. Participants were presented with a list of research outcomes and were asked to select up to five they considered most critical to their decision-making. They then allocated 100 points across these – allocating more points to outcomes perceived as more important. Outcome lists were derived from a review and consolidation of evaluation and outcome frameworks in the fields of public health knowledge translation and implementation. We used descriptive statistics to report relative preferences overall and for policy-makers and practitioners separately.ResultsOf the 186 participants; 90 primarily identified as policy-makers and 96 as public health prevention practitioners. Overall, research outcomes of effectiveness, equity, feasibility, and sustainability were identified as the four most important outcomes when considering either interventions or strategies to implement them. Scores were similar for most outcomes between policy-makers and practitioners.ConclusionFor Australian policy-makers and practitioners working in the field of non-communicable disease prevention, outcomes related to effectiveness, equity, feasibility, and sustainability appear particularly important to their decisions about the interventions they select and the strategies they employ to implement them. The findings suggest researchers should seek to meet these information needs and prioritize the inclusion of such outcomes in their research and dissemination activities. The extent to which these outcomes are critical to informing the decision of policy-makers and practitioners working in other jurisdictions or contexts warrants further investigation.

Model-driven decision support: A community-based meta-implementation strategy to predict population impact

PurposeStandard tools for public health decision making such as data dashboards, trial repositories, and intervention briefs may be necessary but insufficient for guiding community leaders in optimizing local public health strategy. Predictive modeling decision support tools may be the missing link that allows community level decision makers to confidently direct funding and other resources to interventions and implementation strategies that will improve upon the status quo. MethodsWe describe a community-based model-driven decision support (MDDS) approach that requires community engagement, local data, and predictive modeling tools (agent-based modeling in our case studies) to improve decision-making on implementing strategies to address complex public health problems such as overdose deaths. We refer to our approach as a meta-implementation strategy as it provides guidance to a community on what intervention combinations and their required implementation strategies are needed to achieve desired outcomes. We use standard implementation measures including the Stages of Implementation Completion to assess adoption of this meta-implementation approach. ResultsUsing two case studies, we illustrate how MDDS can be used to support decision making related to HIV prevention and reductions in overdose deaths at the city and county level. Even when community acceptance seems high, data acquisition and diffuse responsibility for implementing specific strategies recommended by modeling are barriers to adoption. ConclusionsMDDS has the capacity to improve community decision makers use of scientific knowledge by providing projections of the impact of intervention strategies under various scenarios. Further research is necessary to assess its effectiveness and the best strategies to implement it.

Tourists' assessment of economic value, benefits and negative impacts of pedestrian walkways: Case-studies of the Paiva River (Arouca) and the Mondego River (Guarda) in Portugal

Hiking tourism becomes a popular wellness travel trend across the world. In recent years, we have witnessed the construction of walkways or boardwalks aiming to leverage the attractiveness of nature-based tourism destinations. This paper aims to assess the quality and economic value of two walkways/boardwalks in Portugal (MRW-Mondego River and PRW-Paiva River). A questionnaire applied to visitors at the entrances/exits of those linear walkways obtained 301 (MRW) and 188 (PRW) responses. In both case-studies, visitors provided high scores for the walkways' attributes and their overall satisfaction, which is positively correlated with their willingness to pay for a ticket to access the walkway (MRW- €4.56 and PRW- €6.31 respectively). This study also conducted a K-means cluster analysis for the Mondego RW sub-sample, that identified four different clusters: Cluster 1- (N = 8) Older and heavy spenders, a small segment of male visitors that spend a high amount of money during more than a 2-day stay in the region; Cluster 2- (N = 35) Heavy donators women, composed mainly by women who are willing to donate an higher amount for the conservation of the walkway; Cluster 3- (N = 62)- Average visitor whose members have a profile with characteristics similar to the average scores of the sample; and Cluster 4- (N = 189) Low spenders younger women, that plan their journey avoiding all the consumption moments and spending the lowest amount as possible (about €24). Based on the proposed theoretical framework and on the claims shared by visitors on the survey, this paper provides some recommendations for public decision-makers. Management implications•The local administration should reinvest the direct revenues from the walkways in new support infrastructures (e.g. accessibility, litter collection or the fire prevention/evacuation plan). They must also design an environmental education program for visitors to mitigate conflicts with local population.•The tourism operators must advertise and diversify the experiences, targeting the preferences of the four major visitors’ segments identified in the cluster analysis aiming to extend their stay in the region. The quality and variety of the restaurants should be improved and a new line of certified merchandising products is a potential source of shop owners’ revenues.

Population-based denominators matter: Bias in U.S. Virgin Islands COVID-19 vaccination coverage under changing population counts

PurposeThe U.S. Virgin Islands (USVI) receives an updated population count once every 10 years and used 2010 decennial census population counts to estimate COVID-19 vaccination coverage during the COVID-19 emergency response. We investigated whether using outdated (2010) or modeled (2020 international database [IDB]) population counts biased vaccination coverage estimates used to inform public health priorities during the 2020–2022 COVID-19 response. MethodsWe estimated percentage of USVI residents with a completed primary COVID-19 vaccination series during December 16, 2020–September 20, 2022. Vaccination coverage was calculated as number of persons who completed the vaccination series divided by 2010 and 2020 decennial census population counts and 2020 IDB intercensal estimate. ResultsCOVID-19 vaccination coverage using the 2020 population count was 12 % points higher than coverage using 2010 denominator (2010 denominator: 51 %; 2020 denominator: 63 %). Vaccination coverage estimated using 2020 IDB was approximately equal with the 2010 decennial census estimate (52 %). ConclusionsUsing 2010 and modeled population counts underestimated 2020 USVI COVID-19 vaccination coverage given the 18 % population decline during 2010–2020, potentially limiting USVI’s ability to assess vaccination progress. Identifying mechanisms for more reliable population enumeration or improved estimate modeling are essential for accurately guiding USVI public health decision-making.

Unveiling the relationships between visibility, information technologies and innovation management for sustainability performance: an empirical study

PurposeThe paper investigates how visibility, information technology and innovation management impact sustainability performance. It proposes a framework explaining the role of visibility in driving firms' sustainable performance and the relevance of innovation management and information technologies in enhancing organisational visibility. This study intends to add to the discussion within the management literature about the potential of innovation management to drive sustainability. It seeks to provide insight into the practices that small and medium-sized enterprises (SMEs) can adopt to improve their sustainable performance.Design/methodology/approachUsing empirical methods, the study investigates SMEs in central Mexico. The demographic information in the dataset includes 15 years as an average length of service from firms. Of the surveyed firms, 70% were from the manufacturing sector and 30% were from the service sector, as these are the most representative sectors of the productive region. A variance-based structural equation model approach was used to test the hypotheses, processed with the partial least squares (PLS) regression method.FindingsThe research results show that visibility significantly impacts sustainability performance. Innovation management has a higher influence on visibility than information technologies, emphasising the need to improve the quality of information in firms, not just the tools. The findings support managers in comprehending the crucial importance of visibility in aiding firms to achieve higher sustainability performance.Research limitations/implicationsThe study only examined a sample of Mexican SMEs; therefore, the findings' generalizability must be considered within this context. Secondly, the survey only focused on services and manufacturing firms and a more detailed analysis of the sector could provide further clarity on the relationships between variables. As a result, future research should consider these limitations and explore additional contexts to improve the overall understanding of the topic. Moreover, the scale used to measure the variables was adapted from other researchers with similar context research and reflective variables.Practical implicationsThe results provide helpful information for SME managers about the importance of focusing on innovation management processes and employing information technologies as crucial managerial strategies. This will aid in increasing visibility and supporting the development of sustainability performance in firms.Social implicationsThe world red-code, among others, with climate change and social gaps, has generated the need to contribute to sustainable development, and it has mobilised people on all levels all over the world for the simple purpose of preserving life. Therefore, society, as a crucial group that affects and is affected by this red-code situation, should act in favour of visibility, the use of high-quality information (e.g. transparent, accessible and relevant) and information technologies to promote sustainable practices. This could mean that society should be prepared to incorporate new capabilities and spaces to interchange knowledge as a participatory community that can contribute to better sustainable dynamics that could expand its participation in public decisions. Also, the government should encourage digital democracy (e.g. develop social participation platforms), opening and harmonising rules and mechanisms combining high-quality information with IT to provide flexible and adequate services that support sustainable development, such as efforts towards constructing sustainable and smart cities.Originality/valueThis study explores how innovation management can drive firms' sustainability performance, which is crucial for improving competitiveness. The question of how to enhance sustainability performance through managerial drivers is a critical one. This study empirically investigates the nexus of visibility and sustainability performance, innovation management and information technology with visibility.

European Citizens’ Evaluation of the Common Agricultural Policy

The Common Agricultural Policy (CAP) is crucial in ensuring food safety and security in Europe. Providing a stable and diverse food supply also supports rural economies and promotes social, environmental and economic sustainability. However, as CAP consumes approximately 30% of the EU budget, debates regarding its pertinence have arisen. This paper aimed to understand European citizens’ perceptions of CAP, its associated benefits and their level of agreement regarding the allocation of the EU budget. Ultimately, the goal was to gain insights into EU citizens’ attitudes and perceptions towards the CAP. Information and data come from the European Survey Eurobarometer. The methods include statistical inferential techniques adjusted to the nature of the variables and goals. The findings confirm that European citizens generally perceive the CAP positively and have positive attitudes about the CAP. While some differences among various social groups may exist, the results did not identify any specific group strongly opposing the CAP. Overall, European citizens hold a favorable attitude towards the CAP, its associated benefits and budget allocation. This paper brings new insights into new European CAP measures and programs to promote food security and the sustainability of agriculture among European countries and citizens. These insights may be useful for public decision-makers to define better policies and measures adjusted to European citizens and to promote food security and sustainability.

The Role of the Public Sphere of Science in Fostering Public Trust in Science in Ukraine

Introduction. The war in Ukraine has created a challenging environment for scholarly research, as many researchers and institutions have found themselves in constrained conditions and resources. Furthermore, there has been a decline in public trust in institutions in Ukraine, including the scholarly community.Problem Statement. In Ukraine, public trust in science has been consistently low in recent years. This may have negative consequences for the development of science and technology in the country, as well as for public policy decisions that rely on scientifi c evidence. Therefore, there is a need to foster public trust in the science of Ukraine.Purpose. The purpose of this research is to identify the key tools and technologies of the public sphere of science, which can contribute to building trust in science among the Ukrainian public.Material and Methods. There have been used the methods of analysis, synthesis, comparison, structural, functional, system analysis, and integration.Results. The importance of the role of the public sphere of science in shaping public trust in scholarly research in Ukraine has been established. The main tools and technologies in the public sphere of science that can be used to engage the public and to enhance trust in science in Ukraine have been analyzed. The role of social media platforms, scientifi c webinars, scientifi c platforms, and scientifi c festivals in this process and their potential for engaging the public in scientifi c knowledge and research have been discussed.Conclusions. The importance of involving the public in scientifi c decision-making processes and engagement through organizing public discussions and debates has been concluded. Another crucial step is ensuring open access to scientifi c information and promoting greater transparency. Collaboration among research organizations, the public, the government, and other stakeholders is also vital to the development of eff ective scientifi c policies. The use of innovation technologies and digital tools facilitates interaction between science and the public. Ensuring access to scientifi c knowledge and scientifi c education contributes to increasing trust in science.

Artificial intelligence and complex sustainability policy problems: translating promise into practice

Addressing sustainability policy challenges requires tools that can navigate complexity for better policy processes and outcomes. Attention on Artificial Intelligence (AI) tools and expectations for their use by governments have dramatically increased over the past decade. We conducted a narrative review of academic and grey literature to investigate how AI tools are being used and adapted for policy and public sector decision-making. We found that academics, governments, and consultants expressed positive expectations about AI, arguing that AI could or should be used to address a wide range of policy challenges. However, there is much less evidence of how public decision makers are actually using AI tools or detailed insight into the outcomes of use. From our findings we draw four lessons for translating the promise of AI into practice: 1) Document and evaluate AI’s application to sustainability policy problems in the real-world; 2) Focus on existing and mature AI technologies, not speculative promises or external pressures; 3) Start with the problem to be solved, not the technology to be applied; and 4) Anticipate and adapt to the complexity of sustainability policy problems.

Unwelcome Migrant Churches—A Case Study of the Portrayal of the Universal Church of the Kingdom of God in German-Speaking Online Press

This paper presents a comprehensive analysis of the portrayal of the Universal Church of the Kingdom of God in German-speaking online press. Utilizing qualitative content analysis, this inquiry examines German-speaking media articles published from 1990 to 2021. Using the systematic methodology developed by Kuckartz and Rädiker, media contents are deconstructed into individual codes and categorized into thematic complexes. This approach provides an understanding of how the UCKG is portrayed in German-speaking online press and therefore may affect Brazilian migrants who are affiliated with the UCKG. The findings of this survey reveal a multifaceted picture of the UCKG and its representation in the German-speaking online press. Dominant themes include the church’s rapid global expansion, the centralization of the leader, and various criminal allegations, predominantly financial crimes and corruption. The study uncovers a consistent pattern of critical and often one-sided media portrayal, contrasting with academic perspectives highlighting the church’s adaptation and diversity in its European context. Additionally, the research illuminates how these media narratives potentially influence public perception and policy decisions regarding the UCKG in Germany. The implications of this study are significant for professionals in the field of migration and religion to gain insights into the complexities of working with religious communities, particularly those facing media scrutiny and public misperceptions.

Swarm Intelligence Based Public Health Informatics and Decision Support Systems

Swarm Intelligence Based Public Health Informatics and Decision Support Systems

Development and Impact Analysis of a Multi-Pandemic Real-Time Data Dashboard: A Comparative Analytical Approach

This research presents the development and implementation of a Multi Pandemic Real-Time Data Dashboard, designed to facilitate enhanced comparative analysis across various global pandemics. Utilizing a combination of real-time data acquisition, statistical modeling, and predictive analytics, the dashboard provides a dynamic platform for analyzing pandemic trends and outcomes. Our methodology involved integrating diverse data sources, employing mathematical models such as the SIR (Susceptible, Infected, Recovered) model and machine learning algorithms for data processing and trend prediction. Key findings indicate that the dashboard effectively identifies patterns in pandemic spread and impact, offering valuable insights for public health decision-making. The research underscores the significance of advanced data analytics in managing public health crises, highlighting the dashboard’s potential in aiding proactive pandemic response and policy formulation.

Interpreting the evidence. Reducing subjectivity in appraising the evidence calls for a return to teaching evidence-based medicine.

The interpretation of clinical research evidence is still characterized by wide subjectivity. This subjectivity is also visible when comparing guidelines and recommendations developed by institutions and learned societies. It is often due to bias and conflicts of interest experienced by the members of guideline panels: thus, the role of editors and publishers of journals and scientific media becomes increasingly important, and they should return to careful oversight of the content of what is published. To address the problem, however, it is necessary to return to teaching evidence-based medicine in order to restore its function as a "North star" in clinical practice and public health decision-making.

Analisis Efisiensi Dan Efektivitas E-Government Dalam Administrasi Publik

E-Government has become central to the transformation of public administration, offering various possibilities to improve the efficiency and effectiveness of government services. This analysis investigates how the implementation of e-government affects public administration from the perspective of operational efficiency and achievement of public service objectives. In addition, E-government is the vanguard of efforts to provide information and services to citizens, businesses, employees and government units, and other organizational sectors. This study adopts a qualitative approach where the sources collected come from journals, books. The results show that the efficiency and effectiveness of e-Government in public administration related to the application of information technology has a significant positive impact. E-Government is also able to increase efficiency in the delivery of public services by cutting bureaucracy and speeding up administrative processes. Simultaneously, the effectiveness of e-Government is reflected in faster responses to citizen needs, enhanced transparency, and increased citizen participation in public decision-making.

Remdesivir in Severe Cases of COVID-19 Infection

Background:: Assessing the efficacy of remdesivir for COVID-19 infection holds historical significance. Understanding its effectiveness from previous pandemic instances can enable us to gain insights into its efficacy, informing our strategies for responding to future outbreaks or variants. Objective:: Gaining an insight into the historical efficacy of remdesivir can offer valuable data for evaluating the advancement of COVID-19 treatments and the development of medical expertise in handling the disease. Method:: The historical data regarding the effectiveness of remdesivir can enrich the pool of knowledge and evidence accessible for public health planning and decision-making. Understanding whether remdesivir was efficacious in previous instances may aid in comprehending its real-world impact on patient outcomes at those times. Such insights are crucial for evaluating treatment efficacy and refining strategies based on past experiences. Results:: In the late treatment of severe COVID-19 cases, which are particularly challenging, remdesivir has demonstrated a 6% improvement. Conclusion:: The 6% enhanced effect of remdesivir is not substantial, considering that it is an unweighted average of works with varying degrees of importance and reliability. Additionally, there are instances where conflicts of interest may have impacted the results. It is also possible that the observed improvement could be attributed to better patient care in certain environments.

Use of Soil Moisture as an Indicator of Climate Change in the SUPer System

Soil moisture can be an important indicator of climate change in humid and semi-arid areas. This indicator can more efficiently propose different public policies related to climate change than just using precipitation and temperature data. Given the above, the objective of this study is to evaluate changes in soil moisture in the state of Pernambuco during the period 1961–2021, using the System of Hydrological Response Units for Pernambuco. In this study, two river basins in the state of Pernambuco that represent the different climatic conditions of the state were chosen. The results show that in the coastal region there is a tendency towards more saturated soils, and in the semi-arid region there is a tendency towards drier soils. With these results, it is possible to conclude that public policy decisions for the economy, environment, and society must consider this vital water balance variable. Leveraging soil moisture and precipitation data makes it possible to differentiate between flood risks and landslide vulnerabilities, particularly in regions characterized by higher levels of rainfall. Monitoring soil water content in humid and semi-arid areas can significantly enhance early warning systems, thereby preventing loss of life and minimizing the socio-economic impacts of such natural events. As such, this study provides a holistic understanding of the relationship between climatic patterns, soil moisture dynamics, and the occurrence of droughts and floods, ultimately contributing to more effective disaster preparedness and response measures in Pernambuco and similar regions.

Paradigmatic dimensions of local public management research: The path to reliable managerial decisions

Explicated the need to compare the established paradigmatic ideas in local public management and in the political science research environment. Particular attention is paid to the important issue of the project relationship establishing between the paradigmatic approach and the subject field of public management research. Essential discrepancies between the key paradigmatic approaches to local public management and policy making at the local level are revealed. Stated the necessity of essential empirical material evaluation for further research and possibly improvement of the regulatory framework for local public management. Proved that the particular author's (actors`) main reason for conducting paradigmatic discussions on local public management is the need to communicate with a powerful research tradition. It is concluded that, the success of public policies and their impact on the lives of citizens depends on an understanding of epistemic foundations. Established that different paradigmatic alternatives of public decisions are determined on the basis of scientific data. Considered the most optimal way of applying any paradigmatic approaches is the analysis of the expediency of applying the methodology and forecasting the achievement of scientific novelty or specific results of management projects.

A novel hybrid supervised and unsupervised hierarchical ensemble for COVID-19 cases and mortality prediction

Though COVID-19 is no longer a pandemic but rather an endemic, the epidemiological situation related to the SARS-CoV-2 virus is developing at an alarming rate, impacting every corner of the world. The rapid escalation of the coronavirus has led to the scientific community engagement, continually seeking solutions to ensure the comfort and safety of society. Understanding the joint impact of medical and non-medical interventions on COVID-19 spread is essential for making public health decisions that control the pandemic. This paper introduces two novel hybrid machine-learning ensembles that combine supervised and unsupervised learning for COVID-19 data classification and regression. The study utilizes publicly available COVID-19 outbreak and potential predictive features in the USA dataset, which provides information related to the outbreak of COVID-19 disease in the US, including data from each of 3142 US counties from the beginning of the epidemic (January 2020) until June 2021. The developed hybrid hierarchical classifiers outperform single classification algorithms. The best-achieved performance metrics for the classification task were Accuracy = 0.912, ROC-AUC = 0.916, and F1-score = 0.916. The proposed hybrid hierarchical ensemble combining both supervised and unsupervised learning allows us to increase the accuracy of the regression task by 11% in terms of MSE, 29% in terms of the area under the ROC, and 43% in terms of the MPP metric. Thus, using the proposed approach, it is possible to predict the number of COVID-19 cases and deaths based on demographic, geographic, climatic, traffic, public health, social-distancing-policy adherence, and political characteristics with sufficiently high accuracy. The study reveals that virus pressure is the most important feature in COVID-19 spread for classification and regression analysis. Five other significant features were identified to have the most influence on COVID-19 spread. The combined ensembling approach introduced in this study can help policymakers design prevention and control measures to avoid or minimize public health threats in the future.

The Level of Community Participation in Village Fund Management

Community participation is vital for village development, especially in managing village funds. However, in Klapanunggal Village, the implementation of fund management still struggles to meet community needs due to insufficient involvement. This study aims to explore community participation in fund management and identify factors affecting it. Qualitative research methods were used, highlighting the importance of community involvement in public policy decisions. Despite government efforts to enhance participation, it remains low. While the community acknowledges the importance of involvement, their participation in implementation, evaluation, and benefit-taking processes remains limited, with minimal impact on daily life