ABSTRACT
Introduction: Early identification of developmental dysplasia of the hip (DDH) is necessary to minimize its negative effects. Ultrasound screening is useful for detecting DDH in hospitals. Awareness about community-based screening systems is low in Japan. Despite established nationwide home visiting services and child health checkups in the country, more than 10% of DDH patients are diagnosed at the age of ≥1 year. This review aimed to clarify the status of universal ultrasound screening for DDH among infants in community settings in Japan. Methods: The electronic databases of Igaku Chuo Zasshi, MEDLINE, CHINAL, ERIC, and APA PsycInfo were searched for articles published between 2002 and 2022. Articles were evaluated with the reach, effectiveness, adoption, implementation, and maintenance framework. Results: In total, 148 articles were identified. Two articles were manually added, and 67 articles were excluded through abstract reviews, of which 20 were duplicates. Finally, 18 articles were included in the analysis. There are two types of universal ultrasound screening in community settings: municipality-led and hospital-led. Since 1992, municipality-led screening has been conducted during public infant health checkups in five municipalities. Six hospitals implemented ultrasound screening. The participation rate was around 90%. The Graf method is typically used for this purpose. The prevalence of abnormal hips was 3.6%-16.6%. Owing to limited human resources and skills in ultrasound, all studies mentioned the necessity of a universal screening system for the early detection of DDH. Conclusion: Embedding universal ultrasound screening in community health checkup systems enables collaboration between healthcare professionals and caregivers to improve health inequities and ensure early detection of DDH cases.
ABSTRACT
It has always been argued that countries should not be inactive about the quality of health services. Therefore, a clear policy needs to be created regarding how quality of health services should be. The present scoping review was aimed to identify and map the available evidence regarding the National Quality Policy and Strategy (NQPS) of the health services in health systems of developing countries, graphically and tabularly. We followed the published methodological guidance of the Joanna Briggs Institute reviews. Also, we employed a narrative thematic synthesis integrated with the systematic analysis using the World Health Organization's approach of NQPS, and the multiple-streams framework of Kingdon. We included 33 records that met the inclusion criteria; these records were published between 2010 and 2019. Meanwhile, government documents were the most frequent records (61%). Zimbabwe, Indonesia, and Sudan were the most frequent locations (each one 8%). The Ministry of Health was in charge of the ultimate responsibility for developing the NQPS in all identified countries. Besides, 82% of the countries were in the development phase of NQPS formulation, and convergence of three streams was observed in Indonesia, Sudan, and Tanzania. It seems that the African countries were informed about their quality issues, and the need for having NQPS have been more popular with them. We recommend that future research focuses on examining NQPS in terms of prioritizing in the agenda-setting phase of the policy-making cycle, and also, document analysis of all identified NQPS based on the core eight interdependent elements related to the NQPS approach.
ABSTRACT
OBJECTIVE: In 2020, Japan's Ministry of Health, Labour and Welfare developed an Excel workbook entitled "Simple Simulator for calculating nutritional food stocks in preparation for large-scale disasters." In September 2021, it was modified as the "Revised Simulator" to plan food stockpiles in normal times and post-disaster meals. This study aimed to further improve the Revised Simulator. METHODS: Eight group interviews were conducted with 12 public health dietitians, 9 disaster management officers, and 2 public health nurses from September to November 2021. They provided nutritional support during previous disasters or prepared for predicted future disasters. Qualitative analysis was conducted on interview transcriptions, then the Revised Simulator was improved based on their feedback. RESULTS: The Revised Simulator was improved to the "Simulator for calculating nutritional food stocks and meals for large-scale disasters" with significant changes such as adding specific tags in the food list to denote long shelf life and elderly-friendly foods, as well as displaying bar graphs to visualize the required and supplied amounts of energy and nutrients. CONCLUSIONS: The Revised Simulator was upgraded for planning and assessing stockpiles and meals in ordinary conditions and emergencies. This study will contribute to enhancing the quality and quantity of food supplies during disasters.
Subject(s)
Disaster Planning , Humans , Japan , Disaster Planning/methods , Disaster Planning/standards , Food Supply/standards , Food Supply/statistics & numerical data , Food Supply/methods , Qualitative ResearchABSTRACT
BACKGROUND: The effectiveness of crisis response can be influenced by various structural, cultural, and functional aspects within a social system. This study uses a configurational approach to identify combinations of sociopolitical conditions that lead to a high case fatality rate (CFR) of COVID-19 in OECD countries. METHODS: A Fuzzy set qualitative comparative analysis (QCA) is conducted on a sample of 38 OECD countries. The outcome to be explained is high COVID-19 CFR. The five potentially causal conditions are level of democracy, state capacity, trust in government, health expenditure per capita, and the median age of population. A comprehensive QCA robustness test protocol is applied, which includes sensitivity ranges, fit-oriented robustness, and case-oriented robustness tests. RESULTS: None of the causal conditions in both the presence and negation form were found to be necessary for high or low levels of COVID-19 CFR. Two different combinations of sociopolitical conditions were usually sufficient for the occurrence of a high CFR of COVID-19 in OECD countries. Low state capacity and low trust in government are part of both recipes. The entire solution formula covers 84 percent of the outcome. Some countries have been identified as contradictory cases. The explanations for their COVID-19 CFR require more in-depth case studies. CONCLUSIONS: From a governance perspective, the weakness of government in effectively implementing policies, and the citizens' lack of confidence in their government, combined with other structural conditions, serve as barriers to mounting an effective response to COVID-19. These findings can support the idea that the effects of social determinants of COVID-19 outcomes are interconnected and reinforcing.
Subject(s)
COVID-19 , Organisation for Economic Co-Operation and Development , Politics , COVID-19/mortality , COVID-19/epidemiology , Humans , SARS-CoV-2 , GovernmentABSTRACT
This data paper presents a reconstruction of American women who have served in state and territorial legislatures (female legislators). The dataset spans from 1895 to 1995 and is reported at an annual basis. For all 6,466 women, individual information on each female legislator is provided, including their name, surname, party affiliation, city and county of residence, and the state they represented. Data for the Senate and House are reported separately. The data was extracted from the encyclopedia titled ``Women State and Territorial Legislators, 1895-1995. A State-by-State Analysis, with Rosters of 6,000 Women'' [1]. The dataset can be used to study patterns in political representation, assessing the involvement of women in government, and delving into significant themes such as the intersection between women legislators and the historical, cultural, and political dynamics of their era. The categorization of women according to their city/county of residence enables researchers to seamlessly integrate this data with other spatio-temporal databases. Additionally, the dataset includes the FIPS county codes corresponding to each woman's residence, facilitating convenient linkage with other datasets, such as census data, using the FIPS code.
ABSTRACT
Introduction: Environmental degradation poses a significant threat, making the comprehension of sustainable behaviour imperative for both environmental and business reasons. Embracing sustainable practices and reducing the unnecessary consumption of resources is essential in our current times. One can be sustainable by focusing on either buying sustainable or green products or by using fewer resources, i.e., by adopting curtailment behaviour. The purpose of this study is to determine various factors and their impact on the curtailment behaviour of youths. Methods: We used an exploratory and descriptive research design. Responses were generated from 513 young respondents using a structured questionnaire developed based on the extant literature. Results: The structural model findings showed that social norms, eco-concern, and religiosity significantly and positively affect curtailment behaviour. However, we observed no significant influence of financial concern or government policy on curtailment behaviour. We also tested the moderation impact of government policy on the relationship between economic concern and curtailment behaviour. The findings suggest that the relationship between eco-concern and curtailment behaviour is stronger for consumers exhibiting higher commitment to government policy. Discussion: It is imperative that politicians exercise critical thought and devise strategies to encourage more sustainable consumer behaviour. With the strains that our world is under now and in the future, we need to unite around a common goal: ensuring that our planet is sustainable for coming generations. The study findings are useful for academicians, marketers, and policymakers.
ABSTRACT
Government innovation subsidies play an important role as a policy to incentivize green transformation of enterprises, but whether government innovation subsidies can reduce the carbon intensity of industrial enterprises is still unclear, the exploration of the impact pathway needs to be further developed. This study takes government innovation subsidies as the entry point. It takes Chinese industrial listed companies as the research object from 2007 to 2021, explores the internal mechanism of government innovation subsidies on carbon intensity of industrial enterprises, analyzes the heterogeneity of the impact of government innovation subsidies on the carbon intensity of government innovation subsidies, and finally compares the differences arising from the governance effects of the policies of government innovation subsidies and government non-innovation subsidies. The results of the study show that: 1. Government innovation subsidies are beneficial for improving the energy utilization efficiency of enterprises and significantly reducing carbon intensity, unit government innovation subsidies can reduce the carbon dioxide emissions of industrial enterprises by 11.069 tons per 10,000 yuan of output value; 2. Government innovation subsidies can effectively incentivize industrial enterprises to carry out green technological innovations, and improve the quantity and quality of green technological innovation; 3. Government innovation subsidies can reduce carbon intensity of industrial enterprises by incentivizing the green technological innovations of enterprises to "increase the quantity and improve the quality". In fact, carbon intensity of industrial enterprises could be significantly reduced by incentivizing green technological innovation. Heterogeneity analysis shows that the greater the pressure of environmental tax and the higher the degree of market competition, the stronger is the effect of government innovation subsidies in reducing carbon intensity. The inclusion of government non-innovation subsidies in the control study shows that government innovation subsidies with innovation orientation motivate industrial enterprises to reduce carbon emissions significantly more than those subsidies without innovation orientation. In conclusion, this study provides a practical reference for the promotion of green technological innovation in enterprises to "increase the quantity and improve the quality" and reduce carbon intensity, as well as a revelation for the adoption of differentiated policies for different enterprises.
ABSTRACT
The rapid decline of global biodiversity has engendered renewed debate about the social, economic, and political factors contributing to it. Specifically, there is little understanding of the role that political ideology within a country (e.g., nationalism, conservatism, socialism) plays in determining biodiversity outcomes. We used negative binomial generalized linear models to investigate the importance of national regime ideology in predicting threatened animal species and protected area establishment compared with other factors that affect biodiversity outcomes, such as gross domestic product, inequality, and democracy. For threatened animals, the model with the highest Akaike weight suggested adverse biodiversity outcomes arose from larger gross domestic product (ß = 0.120, p < 0.001). However, nationalism (ß = 0.371, p < 0.01) and socialism (ß = 0.293, p < 0.05) were also significantly associated with increased proportions of threatened species. For protected areas, the model with the highest Akaike weight suggested increases in democracy (ß = 0.880, p < 0.001) led to a rise in relative protected area estate. Conservative regime ideology was also associated with greater protected area estate, although this did not increase the weight of evidence in support of the best models. These findings highlight the relevance of political ideology for predicting biodiversity outcomes at a national scale and illustrate opportunities to tailor policies and advocacy to promote biodiversity conservation more effectively. By targeting appropriate messaging and political advocacy, conservationists can improve the likelihood that politicians and their nations will participate in positive biodiversity actions.
El papel de la ideología del régimen nacional para la predicción de resultados de biodiversidad Resumen El rápido declive de la biodiversidad mundial ha suscitado un renovado debate sobre los factores sociales, económicos y políticos que contribuyen a él. En concreto, se conoce poco el papel que desempeña la ideología política dentro de un país (por ejemplo, el nacionalismo, el conservadurismo o el socialismo) a la hora de determinar los resultados en materia de biodiversidad. Utilizamos modelos lineales generalizados binomiales negativos para investigar la importancia de la ideología del régimen nacional a la hora de predecir las especies animales amenazadas y el establecimiento de áreas protegidas en comparación con otros factores que afectan a los resultados de la biodiversidad, como el producto interno bruto, la desigualdad y la democracia. En el caso de los animales amenazados, el modelo con la mayor ponderación de Akaike sugirió que los resultados adversos para la biodiversidad se debían a un mayor producto interno bruto (ß = 0,120, p < 0,001). Sin embargo, el nacionalismo (ß = 0,371, p < 0,01) y el socialismo (ß = 0,293, p < 0,05) también se asociaron significativamente con una mayor proporción de especies amenazadas. En el caso de las áreas protegidas, el modelo con la mayor ponderación de Akaike sugirió que el aumento de la democracia (ß = 0,880, p < 0,001) conducía a un aumento de la extensión relativa de las áreas protegidas. La ideología conservadora del régimen también se asoció con una mayor superficie de áreas protegidas, aunque no aumentó el peso de la evidencia en apoyo de los mejores modelos. Estos resultados resaltan la importancia de la ideología política para predecir los resultados de la biodiversidad a escala nacional e ilustran las oportunidades de adaptar las políticas y la defensa para promover la conservación de la biodiversidad de manera más eficaz. Si se orientan los mensajes y la promoción política de forma adecuada, los conservacionistas pueden mejorar la probabilidad de que los políticos y sus naciones participen en acciones positivas para la biodiversidad.
ABSTRACT
This study explores the relationship between government and citizen in the digital age and proposes a specific path to realize the value co-creation of government and citizen in the digital age. Quantitative analysis of 40 policy texts on "digital government construction" of 30 provincial and municipal governments in China before November 2022 was conducted using NVivo12. The case of Minsheng Cloud revealed that provincial and municipal government departments have not paid sufficient attention to citizen participation. Furthermore, citizens' participation ability and enthusiasm are not high. The study found that in the process of strengthening the construction of digital government, "government optimisation", "citizen participation", "governance guarantee", "data governance" and "government digitization" are the key elements. We discuss the feasibility, necessity and coupling of the value co-creation theory to establish the benign interaction between government and citizens and realize co-creation. We find that the "DART" model can be co-created based on value, and that the continuous Improving the four aspects of "dialogue", "access", "transparency" and "risk assessment" will undoubtedly help realize the value co-creation of government and citizens in the digital era, and form a governance pattern of co-construction and sharing. It is therefore of great significance to promote the government's digital construction and digital governance capability to accelerate the construction of digital China and promote the modernisation of the national governance system and governance capability.
ABSTRACT
Digital domain is important for the expansion of micro and small enterprises but the gap in readiness to accept the technology impacts businesses. Therefore, this research aims to build an integrated model of Technology Readiness Index, Technology Acceptance Models, and Theory of Reasoned Action expanded with Motivation and government support to increase digital literacy. There are 551 respondents consisting of owners and managers who have been running a business for at least a year. The integration model between Technology Readiness Index, Technology Acceptance Models, and Theory of Reasoned Action expanded with Motivation increases digital literacy, while government support positively influences the variable. The model emphasizes optimism and innovation as key factors in enhancing the construct of Technology Readiness Index model. The results show that there is a strong foundation for the establishment of Technology Acceptance Models and Theory of Reasoned Action expanded with Motivation aimed at supporting digital literacy. This contributes to developing knowledge about the integration model for digital technology acceptance. Practical contributions guide the government in creating appropriate policies to increase digital literacy in SMEs.
ABSTRACT
Introduction: The food environment is an important factor in the efforts of countries worldwide to achieve a transition to sustainable food systems. The objective of this study is to formulate and prioritize actions to be addressed to the government of Burkina Faso for the creation of a healthy food environment, which will contribute to reducing malnutrition in all its forms and non-communicable diseases. Methods: National experts were brought together to identify and prioritize actions to fill the gaps identified through a multi-step assessment process following the methodology of the Healthy Food and Environment Policy Index (Food-EPI). Results: Up to 20 priority policy actions were recommended to the Burkina Faso government. Actions in the policy component focused mainly on regulation of food promotion and marketing, particularly to children, and others in the infrastructure support component focused largely on political leadership, i.e., strong and visible political support from the government to improve the food environment, population nutrition, diet-related non-communicable diseases and their inequalities. Conclusion: The priority actions to be recommended to the government will strengthen advocacy for government decisions to create a healthier food environment in the country.
ABSTRACT
BACKGROUND: The COVID-19 pandemic has demanded crisis management at all governance levels. While most research has focused on responses of national governments, city-level governance had significant potential to develop tailored approaches. This study explored how the local COVID-19 response was organised and adapted to the specific city population and context in the City of Antwerp, Belgium. METHODS: A case study using semi-structured interviews was set up with 20 key informants with a central role in the coordination and implementation of the city-level COVID-19 response in Antwerp. Thematic analysis of transcripts was guided by an adapted version of the OECD risk management cycle. RESULTS: Respondents' accounts provide a granular understanding of pandemic preparedness, crisis management, and response and adaptation to the COVID-19 crisis in a mid-size European city. Its size was large enough to have a strong capacity within its government bodies, to utilise the expertise of strong partners in the area and to mobilise a critical mass for action, yet small enough to quickly establish connections and trust. In addition to a universal approach, they developed tailored responses to specific neighbourhoods and groups. Well-established community and organisational ties enhanced the effectiveness of grassroots initiatives. The perceived feeling of joint action contributed to a strong collective agency, but respondents noted the need for a system for monitoring and learning. CONCLUSIONS: Local governments are important to develop tailored strategies and organise a locally relevant crisis response in cities. They need expertise and agency, with enough flexibility to experiment. To harness promising practices and avoid repeating errors in future crises, it is crucial to develop a system that better evaluates and monitors local responses, before, during and after crises.
Subject(s)
COVID-19 , Cities , Humans , COVID-19/epidemiology , COVID-19/prevention & control , Belgium , Local Government , Interviews as Topic , Pandemics , SARS-CoV-2 , Qualitative ResearchABSTRACT
This study uses data of Chinese A-share listed companies from 2012 to 2021 to empirically examine the impact and action mechanisms of executives' green cognition on enterprises' green technology innovation (GTI). The results of Poisson regression show that executives' green cognition have a significant effect on promoting enterprise GTI, with the conclusion remaining valid after endogenous and robustness tests. Moreover, the mechanism test indicates that executive green cognition could promote enterprise GTI by enhancing their ESG performance. Further analyses find that both government environmental regulation and executive overseas experience have strengthened the promotion effect of executive green cognition on enterprise GTI. These findings provide a new action mechanism path for the relationship between executive cognition and corporate innovation and a micro-level theoretical basis for policy recommendations for promoting enterprises' GTI and ESG practices.
ABSTRACT
Background: Regulatory pathways adopted by the United States Food Drug and Administration (FDA) and Australian Therapeutic Goods Administration (TGA) enable expedited approval of medicines that are thought to offer significant clinical advantage over existing options for severe diseases. Objectives: To review Australian accessibility to medicines approved through the FDA breakthrough therapy designation (BTD) process including timelines and approvals by the TGA and Pharmaceutical Benefits Advisory Committee (PBAC) for listing on the Pharmaceutical Benefits Scheme (PBS). Methods: Retrospective review of published reports from the FDA, TGA, PBAC and PBS for BTDs from 1 January 2013-31 August 2023. Uniform data about BTD and milestone dates were collected. Analysis included all BTDs approved by FDA until 31-August-2022. Main outcome measures: Rates of approval by TGA and PBAC, and PBS-listing; and median (interquartile range, IQR) time from FDA submission to FDA approval, and FDA approval to TGA approval, PBAC approval and PBS listing for cancer and non-cancer medicines. Results: Of 237 BTDs across 156 medicines, 68% were approved by the TGA, and 37% were listed on the PBS. Median (IQR) time from FDA submission to FDA approval was shorter for cancer compared to non-cancer; 179 days (140-210) vs 232 days (181-245), p < 0.02. Time from FDA approval to PBS listing was similar for cancer and non-cancer; median 744 days (IQR, 549-1136) and 733 days (IQR 440-960) respectively, with improvements for cancer BTDs noted for 2018-2022 compared to 2013-2017; 566 days (IQR 319-831) vs 880 days (IQR 620-1362), p < 0.02 but not for non-cancer BTDs. Conclusion: BTD medicines are accessible in Australia approximately 2 years after FDA approval. Since 2018, time to PBS listing for cancer therapies improved, mirroring shorter FDA approval times for this category. Further understanding of clinical studies and context by therapeutic area may improve timely and safe access to life-saving medicines.
ABSTRACT
This article emphasizes the significance of the Monitoring, Evaluation, and Learning (MEL) system within Babies and Mothers Alive (BAMA) Foundation in building effective sustainable interventions at scale. The foundation aims to enhance the availability of high-quality reproductive, maternal, and newborn care services within the government health sector. The distinguishing characteristic of the MEL system is its integration of organizational learning as a strategic approach to inform the development of dynamic program designs. To do this, it has been necessary to identify crucial requirements through open data exchange with all pertinent stakeholders. This paper demonstrates that our approach to evidence-based learning in a diverse population of locally-based actors and stakeholders, gives voice to the community-based health practitioners and patients that is necessary for transformative maternal health delivery systems. The act of sharing data has presented several possibilities for enhancing current initiatives and extending the reach and scale of our partnership model. We trace the development of the core components of learning and decision making, and reflect on the transition of the program to scale using the LADDERS paradigm. The application of our model of practice has been associated with the increased financially viability and the potential for the sustainable scaling of the program intervention.
Subject(s)
Program Evaluation , Humans , Uganda , Female , Child Health , Maternal Health Services/organization & administration , Maternal Health , Child , Infant, Newborn , Infant , PregnancyABSTRACT
The UK's fusion energy approach has developed over the past 5 years to include government policy initiatives and a range of public sector investments designed to be delivered in partnership with the private sector. These have aimed to create an environment that stimulates innovation and investment to deliver economic as well as scientific and environmental benefits throughout the lifetime of the public sector fusion energy programme. The Spherical Tokamak for Energy Production acts as a focus and anchor for both public and private sector efforts to develop fusion energy, developing the supply chain and potential for Intellectual Property development and export opportunities well ahead of the anticipated STEP completion date of 2040. This is maximized by the UK's approach to a holistic research and innovation programme backed up by a regulatory and skills programme. This article is part of the theme issue 'Delivering Fusion Energy - The Spherical Tokamak for Energy Production (STEP)'.
ABSTRACT
E-government services are essential to societies because they save time, reduce corruption, provide efficient, low-cost, and fast service, increase transparency, and enhance trust in the government. These applications save time, which translates to cost savings by reducing bureaucratic crowds and fatigue and eliminating the need for citizens to travel for offline transactions. This study investigates various factors related to citizens' use of e-government services according to gender differences during and before COVID-19. The microdata set from the Survey on Information and Communication Technology (ICT) Usage in Households conducted by TURKSTAT in 2018 and 2021 was used. Additionally, the binary logistic regression method was employed to analyze these factors. According to the research results, it has been determined that variables such as age, education level, occupation, e-commerce use, internet financial transaction status, number of people in the household, and region are associated with women's use of e-government services during the COVID-19 pandemic. The study found that the significance and impact of these variables on the use of e-government services differ based on the gender of individuals and the periods. The study provides recommendations for IT professionals, staff of the interior ministries, and researchers interested in increasing the use of e-government services. This research may also pioneer efforts to identify priority areas for expanding e-government services.