Voices that matter:The impact of patient-reported outcome measures on clinical decision-making

The critical role of patient-reported outcome measures(PROMs)in enhancing clinical decision-making and promoting patient-centered care has gained a profound significance in scientific research.PROMs encapsulate a patient's health status directly from their perspective,encompassing various domains such as symptom severity,functional status,and overall quality of life.By integrating PROMs into routine clinical practice and research,healthcare providers can achieve a more nuanced understanding of patient experiences and tailor treatments accordingly.The deployment of PROMs supports dynamic patient-provider interactions,fostering better patient engagement and adherence to tre-atment plans.Moreover,PROMs are pivotal in clinical settings for monitoring disease progression and treatment efficacy,particularly in chronic and mental health conditions.However,challenges in implementing PROMs include data collection and management,integration into existing health systems,and acceptance by patients and providers.Overcoming these barriers necessitates technological advancements,policy development,and continuous education to enhance the acceptability and effectiveness of PROMs.The paper concludes with recommendations for future research and policy-making aimed at optimizing the use and impact of PROMs across healthcare settings.

Use of Research Evidence in Policy and Decision-Making: Views, Attitudes and Practices of Health Policy Makers in Lusaka Province of Zambia

Background: The integration of relevant high-quality research evidence into the health decision and policy formulation process is a key strategy for improving health systems especially in developing countries such as Zambia. However, the lack of capacity to understand and value research evidence by policy and decision makers makes it difficult for them to find and use research evidence in a timely manner even when motivated to do so. This study aimed to establish the views, attitudes and practices of policy makers on the use of research evidence in policy and decision-making process in Zambia. Methodology: This descriptive cross-sectional study was conducted in Lusaka, Zambia among selected public health decision and policy making institutions. A purposive sample of 21 consenting policy makers who were working in different positions in the Ministry of Health Headquarters, Provincial and District Health Offices, Health Professions Regulatory Bodies, United Nations Agencies, International Non-Governmental Organizations and University Deans from the University of Zambia participated in the study. A self-administered questionnaire was used to collect data. The IBM? SPSS? Statistics for Windows Version 20.0 was used for data analysis. Results: The concept of Evidence Informed Health Policy was not well understood such that only less than half (47.5%) of the participants reported having heard specifically about Evidence Informed Health Policy meanwhile almost two thirds (61.9%) reported that they used research evidence in decision making and policy formulation. Similar discrepancy was expressed in the understanding of and use of rapid response mechanisms such that although (47.6%) of the participants reported having heard about it, (57%) had never used rapid response mechanisms for deci-sion-making. With regard to the sources of information, about half (52.3) of the participants reported scholarly articles as their main source of evidence. Con-clusion and Recommendations: There is need for more sensitization and ca-pacity building among the decision and policy makers on the importance of using research evidence in decision and policy making process as incorporation of relevant high-quality research evidence into the health policy making pro-cess is a key strategy for improving health systems.

National policy-making to develop nursing towards people's health

Nurses play a vital role on the front lines of health care and make outstanding contributions to people's health all over the world.In China,people's health has been remarkably improved in recent 100 years.By 2020,the average life expectancy has been increased to 77.8 years.

SRv6 Policy业务可靠性方案探讨

介绍了SRv6 Policy、SBFD技术及5G承载网络SRv6 Policy业务可靠性方案。针对SBFD误触发问题,提出了在被动端生成BSID、部署引流策略及设置不同检测周期等3种完善措施,这些措施不仅提高了业务的可靠性,还显著提升了网络服务能力.

A Study on the Multiple Differential Structure of Development in China^s Ethnic Areasand Exploiting the Differentiation and Collaborative Policy—On the New Form of China’s Ethnic Relations and the New System of Ethnic Policies

A fter 60 years of im plem entation, the ethnic regional autonomous policy has provided basic p o litica l support for promoting the common development and prosperity of a ll ethnic groups.

A View of Beijing’s Traffic Policy:Evaluation on the Policies Released in 2010 to Ease Traffic Congestion

In today’s society where the economy is developing rapidly and the process of urbanization is accelerating,the traffic in major cities in China is facing tremendous pressure.The economy of Beijing has developed rapidly,its population is dense,the living standard of people has improved significantly,and the number of cars has increased dramatically.From the end of 2005 to the end of November 2010,motor vehicles in Beijing increased from about 2.58 million to about 4.69 million.The problem of traffic congestion has become more prominent,affecting the daily lives of the residents.

Policy Developments and Politics in Brazil： The Digital TV Decision-Making Process

Using an analytical narrative approach to understand policy change, this paper explores the Brazilian government decision to create a digital TV policy initiating major reforms in this sector. The analysis is centered on the actors, preferences, and choices. The article is divided into three parts： （1） We address the historical institutionalism assumptions; （2） We focus on the politics of digital TV policy in Brazil; and （3） The results are highlighted, and ＂winners＂ and ＂losers＂ are identified. Actors, preferences, and choices are historically observed and related to the government decision about rules of digital TV exploitation. It provides configurational evidence that makes it possible to associate major changes to two presidential decrees （n° 4.901/2003 and n° 5.820/2006） that reflect the preferences and behavior of the main actor （broadcasters, social movements, and federal government） around the new digital TV issues. The Brazilian case shows an institutional model in which federal government＇s decisions are strongly connected with the preferences of the actor broadcasters and goes against the actor social movements.

Policy Framework for Community and State Policing in Combating Rising Security Challenges in Nigeria

Viability of decentralizing policing in Nigeria had been on the front burner of security discourse since Nigeria returned to democratic governance in 1999.Valid points had been put forward by both those in support and those in opposition.The Community Policing Department of the Nigeria Police had remained more of an administrative unit with little impact beyond the Police Community Relations Committee activities.Rising cases of herdsmen attacks of various communities,terrorist insurgency in the North-East,kidnappings across the different geo-political zones had resulted in the need to interrogate the efficacy of effective community policing and state policing as viable options to combating rising security challenges.The study adopted qualitative method,and being a library research relied entirely on secondary data.Sources of data included journals,relevant textbooks,newspapers,magazines,and materials downloaded from internet.The paper argues that the traditional security agencies had failed to effectively combat the many security challenges that Nigeria faces.The combination of the official security agencies and the military had failed to effectively combat insecurity in the country.The local vigilante groups on the other hand had made valuable inroad in curtailing some of the security challenges including terrorist insurgency as a result of their knowledge of the terrain.The paper concludes that to effectively combat the many security challenges,there is a need for new policy framework at the federal and state levels that would decentralize policing and give legal backing for collaboration between the official security agencies under the federal government and state security outfits including the vigilante.

Decision-making Principles and Evaluation Frame of Harmonious Fiscal Policy

Harmonious fiscal policy is the Inner requirement for Constructing Harmonious society and is an important means of realiziug such society. The harmonious fiscal policy should realize the harmony of “two hands”, the harmony of values, the unity of short-term and long-term harmony the unity of parts and the whole harmony, the unity of internal and external efficacy harmony. To scientifically evaluate harmony of fiscal policy is the prerequisite to bring harmonious fiscal policy to its full play.

Policy Gradient Adaptive Dynamic Programming for Model-Free Multi-Objective Optimal Control

Dear Editor,In this letter,the multi-objective optimal control problem of nonlinear discrete-time systems is investigated.A data-driven policy gradient algorithm is proposed in which the action-state value function is used to evaluate the policy.In the policy improvement process,the policy gradient based method is employed.

Health financing policies in Sub-Saharan Africa:government ownership or donors’influence?A scoping review of policymaking processes

Background:The rise on the international scene of advocacy for universal health coverage(UHC)was accompanied by the promotion of a variety of health financing policies.Major donors presented health insurance,user fee exemption,and results-based financing policies as relevant instruments for achieving UHC in Sub-Saharan Africa.The“donor-driven”push for policies aiming at UHC raises concerns about governments’effective buy-in of such policies.Because the latter has implications on the success of such policies,we searched for evidence of government ownership of the policymaking process.Methods:We conducted a scoping review of the English and French literature from January 2001 to December 2015 on government ownership of decision-making on policies aiming at UHC in Sub-Saharan Africa.Thirty-five(35)results were retrieved.We extracted,synthesized and analyzed data in order to provide insights on ownership at five stages of the policymaking process:emergence,formulation,funding,implementation,and evaluation.Results:The majority of articles(24/35)showed mixed results(i.e.ownership was identified at one or more levels of policymaking process but not all)in terms of government ownership.Authors of only five papers provided evidence of ownership at all reviewed policymaking stages.When results demonstrated some lack of government ownership at any of the five stages,we noticed that donors did not necessarily play a role:other actors’involvement was contributing to undermining government-owned decision-making,such as the private sector.We also found evidence that both government ownership and donors’influence can successfully coexist.Discussion:Future research should look beyond indicators of government ownership,by analyzing historical factors behind the imbalance of power between the different actors during policy negotiations.There is a need to investigate how some national actors become policy champions and thereby influence policy formulation.In order to effectively achieve government ownership of financing policies aiming at UHC,we recommend strengthening the State’s coordination and domestic funding mobilization roles,together with securing a higher involvement of governmental(both political and technical)actors by donors.

Research on Policy Diffusion Path and Reproduction of River Chief System

The River Chief System (RCS) has evolved from local innovative practices to a national water governance strategy to address the current challenges in China’s water environmental management. In contrast to existing research that focuses on the strengths, weaknesses, and improvements of RCS, this study uses literature study to reveal the dynamic evolution of RCS through three phases, with RCS spreading from developed coastal areas to central and western inland regions. RCS’s diffusion path involves vertical diffusion between central and local levels and horizontal diffusion among local governments. Moreover, RCS has also achieved conceptual spillover, gradually expanding into other governance domains, such as the Lake Chief System, the Field Chief System, the Forestry Chief System, and the integration of multiple chief roles. However, it is essential to scrutinize the phenomenon of applying similar governance mechanisms to different areas, as it may result in challenges such as overburdening local governments, insufficient public participation, oversimplification of differences in natural resource endowments, and limited applicability. This study also provides suggestions on how to address these challenges. The study contributes theoretical insights and policy implications, providing a foundation for practical policy innovation.

Inactivated H9N2 vaccines developed with early strains do not protect against recent H9N2 viruses:Call for a change in H9N2 control policy

H9N2 virus has been widely distributed in wild birds and poultry around the world since its first emergence in the United States of America in 1966(Gu et al.2017;Carnaccini and Perez 2020).The virus appeared in chickens in China in the early 1990s,and over the last two decades has gradually become the dominant epidemic subtype(Sun and Liu 2015;Bi et al.2020).Although H9N2 virus infection alone cannot cause severe disease or death in poultry,H9N2 virus-infected birds experience a degree of egg production drop and can be easily infected by other pathogens,thus causing economic losses for poultry industry.

Automatic Generation of Attribute-Based Access Control Policies from Natural Language Documents

In response to the challenges of generating Attribute-Based Access Control(ABAC)policies,this paper proposes a deep learning-based method to automatically generate ABAC policies from natural language documents.This method is aimed at organizations such as companies and schools that are transitioning from traditional access control models to the ABAC model.The manual retrieval and analysis involved in this transition are inefficient,prone to errors,and costly.Most organizations have high-level specifications defined for security policies that include a set of access control policies,which often exist in the form of natural language documents.Utilizing this rich source of information,our method effectively identifies and extracts the necessary attributes and rules for access control from natural language documents,thereby constructing and optimizing access control policies.This work transforms the problem of policy automation generation into two tasks:extraction of access control statements andmining of access control attributes.First,the Chat General Language Model(ChatGLM)isemployed to extract access control-related statements from a wide range of natural language documents by constructing unique prompts and leveraging the model’s In-Context Learning to contextualize the statements.Then,the Iterated Dilated-Convolutions-Conditional Random Field(ID-CNN-CRF)model is used to annotate access control attributes within these extracted statements,including subject attributes,object attributes,and action attributes,thus reassembling new access control policies.Experimental results show that our method,compared to baseline methods,achieved the highest F1 score of 0.961,confirming the model’s effectiveness and accuracy.

Big Data Analysis of Policy Coordination Paths Based on Latent Dirichlet Allocation Model and Fuzzy-Set Qualitative Comparative Analysis Method

The selection and coordinated application of government innovation policies are crucial for guiding the direction of enterprise innovation and unleashing their innovation potential.However,due to the lengthy,voluminous,complex,and unstructured nature of regional innovation policy texts,traditional policy classification methods often overlook the reality that these texts cover multiple policy topics,leading to lack of objectivity.In contrast,topic mining technology can handle large-scale textual data,overcoming challenges such as the abundance of policy content and difficulty in classification.Although topic models can partition numerous policy texts into topics,they cannot analyze the interplay among policy topics and the impact of policy topic coordination on enterprise innovation in detail.Therefore,we propose a big data analysis scheme for policy coordination paths based on the latent Dirichlet allocation(LDA)model and the fuzzyset qualitative comparative analysis(fsQCA)method by combining topic models with qualitative comparative analysis.The LDA model was employed to derive the topic distribution of each document and the word distribution of each topic and enable automatic classi-fication through algorithms,providing reliable and objective textual classification results.Subsequently,the fsQCA method was used to analyze the coordination paths and dynamic characteristics.Finally,experimental analysis was conducted using innovation policy text data from 31 provincial-level administrative regions in China from 2012 to 2021 as research samples.The results suggest that the proposed method effectively partitions innovation policy topics and analyzes the policy configuration,driving enterprise innovation in different regions.

Scope of public health workforce: an exploratory analysis on World Health Organization policy and the literature

The public health workforce is a key component of public health system.To articulate the scope of public health workforce,we reviewed the relevant World Health Organization(wHO)guidance and peer-reviewed journal articles on this subject.Specifically,we assessed and compared the relevant publications produced by WHO Headquarters and Regional Offices along with other literature on this issue.Our focus was on the“occupation,workplace setting,and employer of public health workforce”.It is noteworthy that WHO has adopted a conceptual framework with an inclusive scope of the public health workforce,while setting out a 5-year vision to strengthen capacity across all WHO Member States for a multidisciplinary workforce to deliver the essential public health functions,including emergency preparedness and response.The importance of public health workforce in global and national responses to the coronavirus disease 2019(COVID-19)pandemic is recognized.We also observed that there were diverse understandings of the scope of public health workforce worldwide,including macro-,meso-and micro-level perspectives.In the post-COVID-19 era,we suggest that policy-makers and practitioners at the national,regional and global level adopt a coordinated approach to expand and strengthen the national workforce as guided by the WHO towards the health-related targets of United Nations Sustainable Development Goals such as health security and Universal Health Coverage.

A quantitative study of disruptive technology policy texts:An example of China’s artificial intelligence policy

Purpose:The transformative impact of disruptive technologies on the restructuring of the times has attracted widespread global attention.This study aims to analyze the characteristics and shortcomings of China’s artificial intelligence(AI)disruptive technology policy,and to put forward suggestions for optimizing China’s AI disruptive technology policy.Design/methodology/approach:Develop a three-dimensional analytical framework for“policy tools-policy actors-policy themes”and apply policy tools,social network analysis,and LDA topic model to conduct a comprehensive analysis of the utilization of policy tools,cooperative relationships among policy actors,and the trends in policy theme settings within China’s innovative AI technology policy.Findings:We find that the collaborative relationship among the policy actors of AI disruptive technology in China is insufficiently close.Marginal subjects exhibit low participation in the cooperation network and overly rely on central subjects,forming a“center-periphery”network structure.Policy tool usage is predominantly focused on supply and environmental types,with a severe inadequacy in demand-side policy tool utilization.Policy themes are diverse,encompassing topics such as“Intelligent Services”“Talent Cultivation”“Information Security”and“Technological Innovation”,which will remain focal points.Under the themes of“Intelligent Services”and“Intelligent Governance”,policy tool usage is relatively balanced,with close collaboration among policy entities.However,the theme of“AI Theoretical System”lacks a comprehensive understanding of tool usage and necessitates enhanced cooperation with other policy entities.Research limitations:The data sources and experimental scope are subject to certain limitations,potentially introducing biases and imperfections into the research results,necessitating further validation and refinement.Practical implications:The study introduces a three-dimensional analysis framework for disruptive technology policy texts,which is significant for formulating and enhancing disruptive technology policies.Originality/value:This study utilizes text mining and content analysis techniques to quantitatively analyze disruptive technology policy texts.It systematically evaluates China’s AI policies quantitatively,focusing on policy tools,policy actors,policy themes.The study uncovers the characteristics and deficiencies of current AI policies,offering recommendations for formulating and enhancing disruptive technology policies.

Enhancing Cybersecurity Competency in the Kingdom of Saudi Arabia:A Fuzzy Decision-Making Approach

The Kingdom of Saudi Arabia(KSA)has achieved significant milestones in cybersecurity.KSA has maintained solid regulatorymechanisms to prevent,trace,and punish offenders to protect the interests of both individual users and organizations from the online threats of data poaching and pilferage.The widespread usage of Information Technology(IT)and IT Enable Services(ITES)reinforces securitymeasures.The constantly evolving cyber threats are a topic that is generating a lot of discussion.In this league,the present article enlists a broad perspective on how cybercrime is developing in KSA at present and also takes a look at some of the most significant attacks that have taken place in the region.The existing legislative framework and measures in the KSA are geared toward deterring criminal activity online.Different competency models have been devised to address the necessary cybercrime competencies in this context.The research specialists in this domain can benefit more by developing a master competency level for achieving optimum security.To address this research query,the present assessment uses the Fuzzy Decision-Making Trial and Evaluation Laboratory(Fuzzy-DMTAEL),Fuzzy Analytic Hierarchy Process(F.AHP),and Fuzzy TOPSIS methodology to achieve segment-wise competency development in cyber security policy.The similarities and differences between the three methods are also discussed.This cybersecurity analysis determined that the National Cyber Security Centre got the highest priority.The study concludes by perusing the challenges that still need to be examined and resolved in effectuating more credible and efficacious online security mechanisms to offer amoreempowered ITES-driven economy for SaudiArabia.Moreover,cybersecurity specialists and policymakers need to collate their efforts to protect the country’s digital assets in the era of overt and covert cyber warfare.

Mapping Climate Services for Disaster Risk Management: A Systematic Review and Research Gaps from a Policy Process Perspective

Climate services (CS) are crucial for mitigating and managing the impacts and risks associated with climate-induced disasters. While evidence over the past decade underscores their effectiveness across various domains, particularly agriculture, to maximize their potential, it is crucial to identify emerging priority areas and existing research gaps for future research agendas. As a contribution to this effort, this paper employs the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to review the state-of-the-art in the field of climate services for disaster risk management. A comprehensive search across five literature databases combined with a snowball search method using ResearchRabbit was conducted and yielded 242 peer-reviewed articles, book sections, and reports over 2013-2023 after the screening process. The analysis revealed flood, drought, and food insecurity as major climate-related disasters addressed in the reviewed literature. Major climate services addressed included early warning systems, (sub)seasonal forecasts and impact-based warnings. Grounded in the policy processes’ theoretical perspective, the main focus identified and discussed three prevailing policy-oriented priority areas: 1) development of climate services, 2) use-adoption-uptake, and 3) evaluation of climate services. In response to the limitations of the prevalent supply-driven and top-down approach to climate services promotion, co-production emerges as a cross-cutting critical aspect of the identified priority areas. Despite the extensive research in the field, more attention is needed, particularly pronounced in the science-policy interface perspective, which in practice bridges scientific knowledge and policy decisions for effective policy processes. This perspective offers a valuable analytical lens as an entry point for further investigation. Hence, future research agendas would generate insightful evidence by scrutinizing this critical aspect given its importance to institutions and climate services capacity, to better understand intricate facets of the development and the integration of climate services into disaster risk management.

Optimizing data visualization for reproductive,maternal,newborn,child health,and nutrition(RMNCH&N)policymaking:data visualization preferences and interpretation capacity among decision-makers in Tanzania

Background:Reproductive,maternal,newborn,child health,and nutrition(RMNCH&N)data is an indispensable tool for program and policy decisions in low-and middle-income countries.However,being equipped with evidence doesn’t necessarily translate to program and policy changes.This study aimed to characterize data visualization interpretation capacity and preferences among RMNCH&N Tanzanian program implementers and policymakers(“decision-makers”)to design more effective approaches towards promoting evidence-based RMNCH&N decisions in Tanzania.Methods:We conducted 25 semi-structured interviews in Kiswahili with junior,mid-level,and senior RMNCH&N decision-makers working in Tanzanian government institutions.We used snowball sampling to recruit participants with different rank and roles in RMNCH&N decision-making.Using semi-structured interviews,we probed participants on their statistical skills and data use,and asked participants to identify key messages and rank prepared RMNCH&N visualizations.We used a grounded theory approach to organize themes and identify findings.Results:The findings suggest that data literacy and statistical skills among RMNCH&N decision-makers in Tanzania varies.Most participants demonstrated awareness of many critical factors that should influence a visualization choice—audience,key message,simplicity—but assessments of data interpretation and preferences suggest that there may be weak knowledge of basic statistics.A majority of decision-makers have not had any statistical training since attending university.There appeared to be some discomfort with interpreting and using visualizations that are not bar charts,pie charts,and maps.Conclusions:Decision-makers must be able to understand and interpret RMNCH&N data they receive to be empowered to act.Addressing inadequate data literacy and presentation skills among decision-makers is vital to bridging gaps between evidence and policymaking.It would be beneficial to host basic data literacy and visualization training for RMNCH&N decision-makers at all levels in Tanzania,and to expand skills on developing key messages from visualizations.