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Often linked to the New Public Management (NPM) doctrines, agencification has been on the priority list of policy makers for over two decades. This article proposes an analysis of the role of agencies in the French health system and the impact of government agency reform on physicians and the public.

The research analyzes the perceived implementation of a re-concentration of decision-making powers within public agencies as the declared goal of agencification at the French health care system, specifically primary care providers and hospitals. The assessment relies on secondary sources from ministerial bodies such as the Ministry of Health and Social Affairs, the Ministry of Labor, the Social Security and the General Accounting Office, and specialized French technical agencies.

Decentralization in France and the subsequent rise of public health care agencies had outcomes below expectations. Hence, a re-concentration of decision-making powers within the larger Regional Health Agencies; a streamlining of the public administration; and a re-appropriation of decision-making powers by the Ministry of Health are needed. The monitoring of health providers allows central health authorities to govern at a distance.

The analysis of health care agencies in France and of their use of efficiency-enhancing techniques may trigger a change of values within the medical profession.

Decentralization has profound implications for many health systems. This study investigates the effect of health system decentralization in Organization for Economic Co-operation and Development (OECD) countries on public health security capacity and health service satisfaction.

Multiple linear regression analyses were employed for variables related to the level of health security capacity and satisfaction with the healthcare system while controlling for all socio-demographic variables from the European Social Survey, including over 44,000 respondents from 25 OECD countries. The Health Systems in Transition series of countries were used for assessing the decentralization level.

The result of multiple linear regression analyses showed that the level of decentralization in health systems was significantly associated with higher health security capacity (ß-coefficient 3.722, 95% confidence interval (CI) [3.536 3.908]; p=<0.001) and health service satisfaction (ß-coefficient 1.463, 95% CI [1.389 1.536]; p=<0.001) in the study. Countries with a higher level of decentralization in health policy tasks and areas were significantly likely to have higher health services satisfaction, whereas this satisfaction had a significant negative relation with the lower level of decentralization status of secondary/tertiary care services in OECD countries (ß-coefficient −5.250, 95% CI [−5.757–4.743]; p = 0.001).

This study contributes to a better understanding of the extent to which decentralization of health services affects public health safety capacity and satisfaction with health services, whereas the level of decentralization in OECD countries varies considerably. Overall, the findings highlight the importance of public health security and satisfaction with health care delivery in assessing the effects of decentralization in health services.

With the worldwide open government data (OGD) movement and frequent public health emergencies in recent years, academic research on OGD for public health emergencies has been growing. However, it is not fully understood how to promote OGD on public health emergencies. Therefore, this paper aims to explore the factors that influence OGD on public health emergencies.

The technology–organization–environment framework is applied to explore factors that influence OGD during COVID-19. It is argued that the effects of four key factors – technical capacity, organizational readiness, social attention and top-down pressure – are contingent on the severity of the pandemic. A unique data set was created by combining multiple data sources which include archival government data, a survey of 1,034 Chinese respondents during the COVID-19 outbreak and official COVID-19 reports.

The data analysis indicates that the four factors positively affect OGD, and pandemic severity strengthens the effects of technical capacity, organizational readiness and social attention on OGD.

This study provides theoretical insights regarding how to improve OGD during public health emergencies, which can guide government efforts in sharing data with the public when dealing with outbreak in the future.

While digital transformation holds immense promise, organizations often fail to realize its benefits. This study aims to address how policies for digital transformation benefits realization are translated into practice.

The authors apply a qualitative, comparative case study of two large, public-sector health care organizations in Sweden. Through document and interview data, the authors analyze the process of translation.

The study finds that practice variation is primarily caused by two types of decoupling: policy-practice and means-ends. Contrary to previous studies, coercion in policy compliance is not found to decrease practice variation.

The limitations primarily stem from the empirical selection of two large public health-care organizations in Sweden, affecting the study’s generalizability. Reducing practice variation is more effectively achieved through goal alignment than coercion, leading to implications for the design of governance and control.

Policymakers should, instead of focusing on control-related compliance, work to align organizational objectives and policies to decrease practice variation for successful benefits realization.

The study contributes to better benefits realization of digital transformation initiatives in health care. As such, the authors contribute to a better functioning and more transformative health care in times of increased demand and decreased supply of health-care services.

The study challenges conventional wisdom by identifying that coercion is less effective than goal alignment in reducing practice variation, thereby enhancing the understanding of policy implementation dynamics in health-care settings.

Despite technological advancements to enhance patient health, the risks of not discovering the correct interactions and trends in digital health are high. Hence, a careful policy is required for health coverage tailored to needs and capacity. Therefore, this study aims to explore the adoption of a cognitive computing decision support system (CCDSS) in the assessment of health-care policymaking and validates it by extending the unified theory of acceptance and use of technology model.

A survey was conducted to collect data from different stakeholders, referred to as the 4Ps, namely, patients, providers, payors and policymakers. Structural equation modelling and one-way ANOVA were used to analyse the data.

The result reveals that the behavioural insight of policymakers towards the assessment of health-care policymaking is based on automatic and reflective systems. Investments in CCDSS for policymaking assessment have the potential to produce rational outcomes. CCDSS, built with quality procedures, can validate whether breastfeeding-supporting policies are mother-friendly.

Health-care policies are used by lawmakers to safeguard and improve public health, but it has always been a challenge. With the adoption of CCDSS, the overall goal of health-care policymaking can achieve better quality standards and improve the design of policymaking.

This study drew attention to how CCDSS as a technology enabler can drive health-care policymaking assessment for each stage and how the technology enabler can help the 4Ps of health-care gain insight into the benefits and potential value of CCDSS by demonstrating the breastfeeding supporting policy.

This study aims to critically examine the effects of COVID-19 social discourses and policy decisions specifically on older adult volunteers in the UK, comparing the responses and their effects in England, Scotland, Wales and Northern Ireland, providing perspectives on effects of policy changes designed to reduce risk of infection as a result of COVID-19, specifically on volunteer involvement of and for older adults, and understand, from the perspectives of volunteer managers, how COVID-19 restrictions had impacted older people’s volunteering and situating this within statutory public health policies.

The study uses a critical discourse approach to explore, compare and contrast accounts of volunteering of and for older people in policy, and then compare the discourses within policy documents with the discourses in personal accounts of volunteering in health and social care settings in the four nations of the UK. This paper is co-produced in collaboration with co-authors who have direct experience with volunteer involvement responses and their impact on older people.

The prevailing overall policy approach during the pandemic was that risk of morbidity and mortality to older people was too high to permit them to participate in volunteering activities. Disenfranchising of older people, as exemplified in volunteer involvement, was remarkably uniform across the four nations of the UK. However, the authors find that despite, rather than because of policy changes, older volunteers, as part of, or with the help of, volunteer involving organisations, are taking time to think and to reconsider their involvement and are renewing their volunteer involvement with associated health benefits.

Working with participants as co-authors helps to ensure the credibility of results in that there was agreement in the themes identified and the conclusions. A limitation of this study lies in the sampling method, as a convenience sample was used and there is only representation from one organisation in each of the four nations.

The paper combines existing knowledge about volunteer involvement of and for older adults.

Village health volunteers are community health volunteers in Thailand that have helped the government deliver public health services for many years, particularly during the coronavirus disease 2019 (COVID-19) pandemic. Though labeled as “volunteers,” the village health volunteers are recruited, trained and supervised in a manner similar to how a government agency recruits, trains and supervises its street-level bureaucrats (SLBs). This study examines the two factors that affect how these street-level quasi-bureaucrats use their professional discretion: transformational leadership and public service motivation (PSM). Transformational leadership means a leadership style that develops, shares and sustains a vision to elevate SLBs to higher levels of performance, while PSM is defined as an SLB’s predisposition to make a difference by working in the public sector with a sense of calling. This study attempts to analyze the mediating role of psychological empowerment in the relationship between transformational leadership, PSM and professional discretion.

The paper uses a three-wave survey-based quantitative method to avoid common method biases. This method provides evidence gathered from 105 subdistrict health promotion hospitals and 798 village health volunteers (VHVs) in five provinces in Thailand.

PSM and transformational leadership influence the village health volunteers' use of professional discretion indirectly through the psychological empowerment mechanisms that make them feel positive toward their village health volunteer role and responsibility. The authors' findings suggest that the hospital directors' transformational leadership induces the village health volunteers' use of professional discretion by making them feel competent to do their work and feel fulfilled and valuable about their work. Similarly, the village health volunteers' PSM leads them to use professional discretion by making them feel fulfilled and valuable and by convincing them of the social and community impact of their work.

While existing research focuses on VHVs' role in alleviating capacity constraints on the health care system, this study revealed an equally important role played by hospital directors. These directors' transformational leadership was instrumental in enhancing VHVs' psychological empowerment – particularly their perceptions of the meaning of their work and their competence – that ultimately enabled them to use professional discretion in their work. This study also highlighted the importance of VHVs' PSM, which leads to their use of professional discretion via the meaning and impact dimensions of psychological empowerment. Based on this study, PSM should also be incorporated into the community health volunteers' recruitment criteria. Also, public health agencies should consider including transformational leadership in the hospital directors' training programs and their promotion criteria.

As VHVs' high-PSM level was found to enhance their professional discretion, the process of recruiting ordinary citizens to serve as community health volunteers should incorporate assessment of the candidates' PSM. Also, the Ministry of Public Health should design and assign tasks that citizen volunteers, particularly VHVs, consider meaningful and at which they feel competent.

Aside from technical training, directors of the subdistrict health promotion hospitals should regularly receive soft skill training (i.e. leadership training) and transformational leadership characteristics should be included in the government criteria for promotion.

While past research has examined the impact of other leadership styles on psychological empowerment, this study took a further step by examining the mediating effects of psychological empowerment on the relationship between transformational leadership and professional discretion among VHVs. The authors analyzed the mechanism linking PSM to the VHVs' professional discretion. In addition, by examining the relative importance of different dimensions of psychological empowerment, this study offers a nuanced understanding of the psychological processes by which transformational leadership and PSM shape the SLBs' use of professional discretion in their work.

This study investigates the frequency and specificity of health-related issues discussed during the East Java Indonesia Gubernatorial Election Campaign 2018.

The research utilized a mixed-methods approach, combining topic modeling and qualitative thematic analysis, to analyze 4,023 online news articles from March to June 2018. From the data sources obtained in terms of time frame, this research can be categorized as a retrospective study because it examines origins from events that have already occurred.

The study found that health issues accounted for only 6% of all gubernatorial election news in each selected online media portal. The health issues identified were categorised into eight groups: health financing and facilities, health workforce, malnutrition and stunting, leprosy, cigarettes and tobacco, healthy lifestyles, pregnancy and breastfeeding, and disability. The study also reveals a need for increased attention to health-related issues in political campaigns and media. By focusing on the health-related issues raised during the campaign, the study provides valuable insights into the gaps and priorities in addressing the health needs of the East Java population. The research framework used in this study offers a valuable approach for analyzing online data sources using qualitative analysis capacity. The study can improve health policies and outcomes in the local election campaign by raising awareness of health issues and promoting informed decision-making among voters.

This research limitation is a local political campaign case in Indonesia. The research indicates that health issues receive limited coverage during election campaigns, suggesting a lack of emphasis on health as a critical issue among East Java's electorate.

The study can improve health policies and outcomes in the local election campaign by raising awareness of health issues and promoting informed decision-making among voters.

At the beginning of the 21st century, multiple and diverse social entities, including the public (consumers), private and nonprofit healthcare institutions, government (public health) and other industry sectors, began to recognize the limitations of the current fragmented healthcare system paradigm. Primary stakeholders, including employers, insurance companies, and healthcare professional organizations, also voiced dissatisfaction with unacceptable health outcomes and rising costs. Grand challenges and wicked problems threatened the viability of the health sector. American health systems responded with innovations and advances in healthcare delivery frameworks that encouraged shifts from intra- and inter-sector arrangements to multi-sector, lasting relationships that emphasized patient centrality along with long-term commitments to sustainability and accountability. This pathway, leading to a population health approach, also generated the need for transformative business models. The coproduction of health framework, with its emphasis on cross-sector alignments, nontraditional partner relationships, sustainable missions, and accountability capable of yielding return on investments, has emerged as a unique strategy for facing disruptive threats and challenges from nonhealth sector corporations. This chapter presents a coproduction of health framework, goals and criteria, examples of boundary spanning network alliance models, and operational (integrator, convener, aggregator) strategies. A comparison of important organizational science theories, including institutional theory, network/network analysis theory, and resource dependency theory, provides suggestions for future research directions necessary to validate the utility of the coproduction of health framework as a precursor for paradigm change.

This case study paper aims to explore the complexities and challenges of epidemic response and public health surveillance in Native American and Indigenous American communities in the United States and find viable solutions. This paper explores these topics through the emergence and impact of the hantavirus pulmonary syndrome (HPS) within the Navajo Nation in the United States using critical incident analysis and best practices.

This project is a case study paper based on a topical review of the literature. A topical review of the literature is a comprehensive exploration of the current body of knowledge within a particular research field. It is an important tool used by scholars and practitioners to further the development of existing knowledge as well as to identify potential directions for future research (Fourie, 2020). Such a paper can provide a useful insight into the various aspects of the process that the researcher may have overlooked, as well as highlighting potential areas of improvement (Gall et al., 2020). It can also provide a useful source of ideas and inspiration for the researcher as it can provide an overview of the various approaches used by other researchers in the field (Göpferich, 2009). Case study papers using a topical review of the literature have been used to help frame and inform research topics, problems and best practices for some time. They are typically used to explore a topic in greater depth and to provide an overview of the literature to improve the world of practice to provide a foundation for future comprehensive empirical research. Case study papers can provide research value by helping to identify gaps in the literature and by providing a general direction for further research. They can also be used to provide a starting point for research questions and hypotheses and to help identify potential areas of inquiry.

This study explores best practices in public health surveillance and epidemic response that can help strengthen public health infrastructure by informing the development of effective surveillance systems and emergency response plans, as well as improving data collection and analysis capabilities within Native American and Indigenous American communities in the United States that also have the option to include new technologies like artificial intelligence (AI) with similar outbreaks in the future.

The literature review did not include any primary data collection, so the existing available research may have limited the findings. The scope of the study was limited to published literature, which may not have reported all relevant findings. For example, unpublished studies, field studies and industry reports may have provided additional insights not included in the literature review. This research has significant value based on the limited amount of studies on how infectious diseases can severely impact Native American communities in the United States, leading to unnecessary and preventable suffering and death. As a result, research on viable best practices is needed on the best practices in public health surveillance and epidemic response in Native American and Indigenous American communities through historical events and critical incident analysis.

Research on public health surveillance and epidemic response in Native American communities can provide insights into the challenges faced by these communities and help identify potential solutions to improve their capacity to detect, respond to and prevent infectious diseases using innovative approaches and new technologies like AI.

More research on public health surveillance and epidemic response can inform policies and interventions to improve access to healthcare for Native American populations, such as increasing availability of healthcare services, providing culturally appropriate health education and improving communication between providers and patients. By providing better public health surveillance and response capacity, research can help reduce the burden of infectious diseases in Native American communities and ultimately lead to improved public health outcomes.