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The purpose of this paper is to present an analytical review of the educational innovation field in the USA. It outlines classification of innovations, discusses the hurdles to innovation, and offers ways to increase the scale and rate of innovation-based transformations in the education system.

The paper is based on a literature survey and author research.

US education badly needs effective innovations of scale that can help produce the needed high-quality learning outcomes across the system. The primary focus of educational innovations should be on teaching and learning theory and practice, as well as on the learner, parents, community, society, and its culture. Technology applications need a solid theoretical foundation based on purposeful, systemic research, and a sound pedagogy. One of the critical areas of research and innovation can be cost and time efficiency of the learning.

Several practical recommendations stem out of this paper: how to create a base for large-scale innovations and their implementation; how to increase effectiveness of technology innovations in education, particularly online learning; how to raise time and cost efficiency of education.

Innovations in education are regarded, along with the education system, within the context of a societal supersystem demonstrating their interrelations and interdependencies at all levels. Raising the quality and scale of innovations in education will positively affect education itself and benefit the whole society.

Originality is in the systemic approach to education and educational innovations, in offering a comprehensive classification of innovations; in exposing the hurdles to innovations, in new arguments about effectiveness of technology applications, and in time efficiency of education.

This paper aims to optimize and evaluating the performance of the crowd networks through analyzing their information sharing patterns. That is, in a crowd network, the qualities of accomplishing tasks are highly dependent on the effective information sharing among intelligent subjects within the networks. Hence, proposing an adaptive information-sharing approach can help improve the performance of crowd networks on accomplishing tasks that are assigned to them.

This paper first introduces the factors that affect effectiveness of information-sharing pattern: the network topology, the resources owned by intelligent subjects and the degree of information demand. By analyzing the correlation between these factors and the performance of crowd networks, an Adaptive Information Sharing Approach for Crowd Networks (AISCN approach) is proposed. By referring to information needed for accomplishing the historical tasks that are assigned to a crowd network, the AISCN approach can explore the optimized information-sharing pattern based on the predefined composite objective function. The authors implement their approach on two crowd networks including bee colony and supply chain, to prove the effectiveness of the approach.

The shared information among intelligent subjects affects the efficiency of task completion in the crowd network. The factors that can be used to describe the effectiveness of information-sharing patterns include the network topology, the resources owned by intelligent subjects and the degree of information demand. The AISCN approach used heuristic algorithm to solve a composite objective function which takes all these factors into consideration, so that the optimized information-sharing pattern can be obtained.

This paper introduces a set of factors that can be used to describe the correlation between information-sharing pattern and performance of crowd network. By quantifying such correlation based on these factors, this paper proposes an adaptive information-sharing approach which can explore the optimized information-sharing pattern for a variety of crowd networks. As the approach is a data-driven approach that explores the information-sharing pattern based on the network’s performance on historical tasks and network’s characteristics, it is adaptive to the dynamic change (change of incoming tasks, change of network characteristics) of the target crowd network. To ensure the commonality of the information-sharing approach, the proposed approach is not designed for a specific optimization algorithm. In this way, during the implementation of the proposed approach, heuristic algorithms can be chosen according to the complexity of the target crowd network.

This paper aims to explore how and why salespeople enhance or hinder long-term business-to-business (B2B) customer relationships at the interpersonal level by considering self-disclosure and relational cost and reward evaluations.

Data from interviews (N = 47) with B2B sales professionals were analyzed, focusing on the shift of the phases in long-term B2B customer relationships.

Long-term B2B customer relationships evolve at the interpersonal level through a process of continuous relational cost and reward evaluation, self-disclosure and business disclosure in three phases: becoming business partners, collaborative partners and collaborative and personal partners. The reward evaluations progress from being business related to including even more relational benefits. Disclosure progresses through general business disclosure and general self-disclosure; strategic business disclosure and personal life self-disclosure; and synergistic business disclosure and private self-disclosure.

The long-term B2B customer relationships could be studied at the interpersonal level from the customer’s perspective. Self-disclosure could be studied in cross-cultural settings as well as gender differences should be considered in future studies. Business and social penetration theory could be applied to investigate different types of relationships and other professional relationships, such as those between employers and employees. It would be important to test whether the business-related and self-disclosure subtypes apply to the development of other types of professional relationships or whether other disclosure subtypes exist. The authors recommend exploring salespeople’s and customers’ privacy management strategies in multiple communication channels.

Managers may apply the results of this study in their customer relationship management and sales training.

The findings outline a contextual extension of social penetration theory.

This survey explores the application of real options theory to the field of health economics. The integration of options theory offers a valuable framework to address these challenges, providing insights into healthcare investments, policy analysis and patient care pathways.

This research employs the real options theory, a financial concept, to delve into health economics challenges. Through a systematic approach, three distinct models rooted in this theory are crafted and analyzed. Firstly, the study examines the value of investing in emerging health technology, factoring in future advantages, associated costs and unpredictability. The second model is patient-centric, evaluating the choice between immediate treatment switch and waiting for more clarity, while also weighing the associated risks. Lastly, the research assesses pandemic-related government policies, emphasizing the importance of delaying decisions in the face of uncertainties, thereby promoting data-driven policymaking.

Three different real options models are presented in this study to illustrate their applicability and value in aiding decision-makers. (1) The first evaluates investments in new technology, analyzing future benefits, discount rates and benefit volatility to determine investment value. (2) In the second model, a patient has the option of switching treatments now or waiting for more information before optimally switching treatments. However, waiting has its risks, such as disease progression. By modeling the potential benefits and risks of both options, and factoring in the time value, this model aids doctors and patients in making informed decisions based on a quantified assessment of potential outcomes. (3) The third model concerns pandemic policy: governments can end or prolong lockdowns. While awaiting more data on the virus might lead to economic and societal strain, the model emphasizes the economic value of deferring decisions under uncertainty.

This research provides a quantified perspective on various decisions in healthcare, from investments in new technology to treatment choices for patients to government decisions regarding pandemics. By applying real options theory, stakeholders can make more evidence-driven decisions.

Decisions about patient care pathways and pandemic policies have direct societal implications. For instance, choices regarding the prolongation or ending of lockdowns can lead to economic and societal strain.

The originality of this study lies in its application of real options theory, a concept from finance, to the realm of health economics, offering novel insights and analytical tools for decision-makers in the healthcare sector.

The estimation of the burden of a disease is one of the tasks with the longest tradition in health economics, which allows us to know the volume of resources that a country allocates to a specific health problem, and to compare countries and diseases. Although the fundamental objective of health systems is not to reduce the cost of the disease, but to improve the health of the population, the studies of burden of disease establish the economic seriousness of the problem, orienting the priorities of action.

Government-funded medical expenditure in Uruguay for the last ten years has tripled in US dollars. The increase in the prevalence of overweight and obesity has contributed to this growth. According to the World Health Organization, Uruguay has the highest growing trend in the prevalence of both overweight and obesity in South America. We have previously estimated that economic burden linked to obesity will be more than US$500 million by 2020, a figure close to 1% of the country’s GDP.

In this study, we tried to generate a measure of value to ascertain the cost of inaction in the fight against obesity and its consequences linked to several non-communicable diseases. The cost of inaction is not defined as the cost of not doing, but as the cost of not implementing the right policies (in this case health prevention policies) at the right time.

Eating disorders (EDs) is a major health condition affecting 9% of the global population and 10% of those with EDs lost their lives as a result. Text-based telehealth interventions (TTIs) seem to provide a low-cost and convenient treatment option; however, the evidence is scarce. This study aimed to synthesize evidence relating to the use of TTIs for the management of EDs.

Five databases were searched published between January 2020 and May 2019. The authors used keywords relating to telehealth and EDs. The authors used Joanna Briggs Institute's (JBI's) critical appraisal instrument to assess the methodology quality of included studies.

Fifteen studies were included in this mix-method systematic review and assessed for methodology quality. Email, web-based texting, text-messaging and online chat room were used as mode for deliver healthcare for patients with EDs. In the treatment phase, all studies (nine studies; n = 860 participants) showed effectiveness (for RCTs) and usefulness (for non-RCT studies). In the aftercare phase (six studies; n = 364 participants), the results regarding the effectiveness of TTIs were mixed. Two studies showed effectiveness whilst four studies did not find statistically significant change of ED outcomes.

The qualities of these studies varied; firstly, 66% (n = 10) of the studies were non-randomized studies (e.g. single-arm trial, case report) with small samples. Moreover, one-fourth (n = 4) of the studies did not use validated instruments or indicate the instrument. Also, half (n = 7) of the studies used TTIs as adjunct to face-to-face treatment or bigger online treatment, it is hard to make conclusion that the changes were due to TTIs' effect. In addition, follow-up rate is not satisfactory, thus results should be interpreted cautiously.

TTIs seem to be promising for management of EDs, particularly in the treatment phase. This provides an important treatment option for health practitioners and people with EDs as an alternative or in adjunct with face-to-face services.

This is the first review to synthesis the use of TTIs for ED management.

In order to create sustainable health systems, many countries are introducing ways to prioritise health services underpinned by a process of health technology assessment. While this approach requires technical judgements of clinical effectiveness and cost effectiveness, these are embedded in a wider set of social (societal) value judgements, including fairness, responsiveness to need, non-discrimination and obligations of accountability and transparency. Implementing controversial decisions faces legal, political and public challenge. To help generate acceptance for the need for health prioritisation and the resulting decisions, the purpose of this paper is to develop a novel way of encouraging key stakeholders, especially patients and the public, to become involved in the prioritisation process.

Through a multidisciplinary collaboration involving a series of international workshops, ethical and political theory (including accountability for reasonableness) have been applied to develop a practical way forward through the creation of a values framework. The authors have tested this framework in England and in New Zealand using a mixed-methods approach.

A social values framework that consists of content and process values has been developed and converted into an online decision-making audit tool.

The authors have developed an easy to use method to help stakeholders (including the public) to understand the need for prioritisation of health services and to encourage their involvement. It provides a pragmatic way of harmonising different perspectives aimed at maximising health experience.

All health care systems are facing increasing demands within finite resources. Although many countries are introducing ways to prioritise health services, the decisions often face legal, political, commercial and ethical challenge. The research will help health systems to respond to these challenges.

This study helps in increasing public involvement in complex health challenges.

No other groups have used this combination of approaches to address this issue.

Many patients referred by their GP for an assessment by secondary mental health services are unlikely to ever meet eligibility thresholds for specialist treatment and support. A new service was developed to support people in primary care. “the authors evaluate” whether the phased introduction of the Lambeth Living Well Network (LWN) Hub to a population in south London led to: a reduction in the overall volume of patients referred from primary care for a secondary mental health care assessment; and an increase in the proportion of patients referred who met specialist service eligibility criteria, as indicated by the likelihood of being accepted in secondary care.

The evaluation applied a quasi-experimental interrupted time series design using electronic patient records data for a National Health Service (NHS) provider of secondary mental health services in south London.

Scale-up of the Hub to the whole of the population of Lambeth led to an average of 98 fewer secondary care assessments per month (95% CI −118 to −78) compared to an average of 203 assessments per month estimated in the absence of the Hub; and an absolute incremental increase in the probability of acceptance for specialist intervention of 0.20 (95% CI; 0.14 to 0.27) above an average probability of acceptance of 0.57 in the absence of the Hub.

Mental health outcomes for people using the service and system wide-service impacts were not evaluated preventing a more holistic evaluation of the effectiveness and cost-effectiveness of the LWN Hub.

Providing general practitioners with access to service infrastructure designed to help people whose needs cannot be managed within specialist mental health services can prevent unnecessary referrals into secondary care assessment teams.

Reducing unnecessary referrals through provision of a primary-care linked mental health service will reduce delay in access to professional support that can address specific mental-health related needs that could not be offered within the secondary care services and could prevent the escalation of problems.

The authors use NHS data to facilitate the novel application of a quasi-experimental methodology to deliver new evidence on whether an innovative primary care linked mental health service was effective in delivering on one of its key aims.

The paper documents the roles played by the institutional quality assurance cells (IQACs) to implement the University Grants Commission (UGC) directive to shift to online education during the COVID-19 pandemic period in Bangladesh. It highlights the government's efforts to ensure quality education, particularly in utilizing IQACs in the various public and private universities. The paper starts with the pandemic situation in the country, followed by the overall responses of the government, including its directives regarding the conduct of higher education.

The paper utilizes as framework the Sloan Consortium's Five Pillars of Quality Online Learning – learning effectiveness, student satisfaction, teacher satisfaction, scale and access. The paper then analyzes the oral reports of 26 IQACs, which were presented to government officials in two meetings.

From the analysis, it is apparent that IQACs have contributed toward the shift to full online education during the pandemic period. Universities responded to the crisis mainly in the areas of governance, teaching and learning and student support services. To guide policy formulation, the IQACs (with the help of other university units) conducted surveys among their faculty and students regarding their access to Internet, financial difficulties and mental health situation. From here, they drafted academic policies (attendance, student assessment and online teaching), conducted capacity building activities, monitored faculty performance, formulated guidelines on student online behavior and encouraged stakeholders to trust the online system.

The study is original since (like many countries) the pandemic has forced education activities to go online. It looks at both the macro level (the concerns of the University Grants Commission or UGC concerning quality education in an online setting) and the micro level (what universities have undertaken to address the concerns of the UGC).

This study provides a systematic literature review and categorization of the costs reported in the literature for the introduction of new vaccines, focusing on sub-Saharan Africa within LMICs, where vaccines are highly needed, financial resources are scarce and data are lacking and scattered.

A systematic literature search of PubMed and Web of Science databases was conducted according to the PRISMA requirements. Searches also included the relevant grey literature. In total, 39 studies were selected and nine cost categories were investigated to build a comprehensive framework.

The paper considers nine cost categories that cover the whole life of the vaccine, from its initial study to its full implementation, including for each of them the relevant subcategories. The systematic review, besides providing specific quantitative data and allowing to assess their variability within each category, points out that delivery, program preparation, administration and procurement costs are the most frequently estimated categories, while the cost of the good sold, costs borne by households and costs associated to AEFI are usually overlooked. Data reported on R&D costs and investment in the production plant differ significantly among the selected contributions.

The literature contributions on cost estimation tend to focus on a precise vaccine, a specific geographic area, or to adopt a narrow approach that captures only a subset of the costs. This article presents a rich and inclusive set of the economic quantitative data on immunization costs in limited-resource countries.