Comprehensive Set Of Indicators Research Articles

Hospital performance evaluation indicators: a scoping review.

Hospitals are the biggest consumers of health system budgets and hence measuring hospital performance by quantitative or qualitative accessible and reliable indicators is crucial. This review aimed to categorize and present a set of indicators for evaluating overall hospital performance. We conducted a literature search across three databases, i.e., PubMed, Scopus, and Web of Science, using possible keyword combinations. We included studies that explored hospital performance evaluation indicators from different dimensions. We included 91 English language studies published in the past 10 years. In total, 1161 indicators were extracted from the included studies. We classified the extracted indicators into 3 categories, 14 subcategories, 21 performance dimensions, and 110 main indicators. Finally, we presented a comprehensive set of indicators with regard to different performance dimensions and classified them based on what they indicate in the production process, i.e., input, process, output, outcome and impact. The findings provide a comprehensive set of indicators at different levels that can be used for hospital performance evaluation. Future studies can be conducted to validate and apply these indicators in different contexts. It seems that, depending on the specific conditions of each country, an appropriate set of indicators can be selected from this comprehensive list of indicators for use in the performance evaluation of hospitals in different settings.

Identify the Critical Factors Influencing the Indexing Work of CoPS: A Multiagent Oriented Network Perspective

The indexing work of complex products and systems (CoPS) is to determine a comprehensive set of indicators to ensure seamless integration of CoPS modules. Despite its pivotal role as a pioneering phase in CoPS development, indexing work has garnered relatively scant research attention. This paper explores CoPS indexing work through a network game model that considers a main manufacturer and several suppliers. The primary aim is to discern the key influencing factors affecting CoPS indexing work and elucidate the influence mechanism. Several interesting conclusions have been drawn: (1) subjective, environmental, and structural factors as the three key aspects influencing the CoPS indexing work network; (2) Subjective factors directly influence the agencies’ selection of the optimal effort level for collaborative work, whereas environmental and structural factors indirectly impact their choice by affecting their network centrality; (3) the environmental factors within the indexing work network dictate the rate at which interagent interactions diminish with distance. To demonstrate and validate the research’s findings, an examination of the indexing process of the China Lanxin High-speed Railway is conducted. This study offers new insights into CoPS indexing work, providing both theoretical references and practical suggestions for project teams to improve collaborative efficiency.

Spatiotemporal Changes in China’s Tourism Industry Development

As a strategic pillar of the Chinese economy, high-quality development of the tourism industry has become a pressing demand in the contemporary era. Following the new developmental concept advocated by the Chinese government, this study has constructed a comprehensive set of indicators for high-quality tourism development. A thorough spatial analysis of the developmental quality of China’s provincial tourism industry from 2000 to 2021, as well as the developmental conditions of various subsystems, was conducted by employing the entropy–value–TOPSIS method, Dagum Gini coefficient, and ESTDA approach. The research has found that (1) the overall quality of China’s tourism industry has significantly improved, (2) the determinants of differences in tourism-development quality in China transitioned from endowment advantages to innovation capabilities. (3) positive spatial-agglomeration effects are evident in the developmental landscape of China’s tourism industry, (4) the quality of regional tourism development is closely related to the economic development of urban agglomerations, (5) China’s tourism industry demonstrates resilience and capacity for restructuring in the post-pandemic era.

Does the health information system in Jordan support equity to improve health outcomes? Assessment and recommendations

BackgroundThis study is based on extensive evidence-based assessments. The aim of this paper is to evaluate how well Jordan’s health information system (HIS) incorporates social determinants of health inequity (SDHI) and to propose suggestions for future actions.MethodsAn extensive evidence-based assessment was performed. A meta-synthesis of the inclusion of the SDHI in the HIS in Jordan was conducted. After searching and shortlisting, 23 papers were analyzed using Atlas.ti 9.0 employing thematic analysis technique.ResultsThe HIS in Jordan is quite comprehensive, comprising numerous data sources, various types of information, and data from multiple producers and managers. Nevertheless, the HIS confronts several obstacles and fails to ensure the timely and secure publication of available data. The assessment of the inclusion of the SDHI in the HIS showed that the HIS allows for the measurement of progress in relation to social policies and actions but has a very limited database for supporting the inclusion of health inequity measures. One reason for the difficulty in identifying fairness is that certain crucial information necessary for this task cannot be obtained through the available institutional HIS or population survey tools. Additionally, relevant modules for fairness may be missing from population surveys, possibly due to a failure to fully utilize the capabilities of the institutional HIS.ConclusionThere are opportunities to make use of Jordan’s dedication to fairness and its already established strong HIS. Some social determinants of health exist in the HIS, but much more data, information, and effort are needed to integrate the SDHI into the Jordanian HIS. A proposal from a regional initiative has put forward a comprehensive set of indicators for integrating SDHI into HIS, which could aid in achieving health equity in Jordan.

The assessment of sustainable tourism: Application to Kien Giang destination in Vietnam

The concept of sustainability has been widely accepted in tourism to minimize the adverse effects of tourism. This study aims to develop a comprehensive set of indicators to help assess progress toward sustainable tourism for development in Kien Giang, Vietnam. Research to build and validate a set of indicators to measure sustainable tourism development, including economic, environmental, socio-cultural, infrastructure, technological, and political aspects. The indicator is helpful in providing a quantitative assessment of the tourist destination, identifying key intervention priorities, and identifying areas that need to be restructured. The indicator is applied to Kien Giang destinations in Vietnam, and the results are used as a guide for tourism planning. The conclusions of this study can be extrapolated to the study of other tourist destinations.

The adaptive community-response (ACR) method for collecting misinformation on social media

Social media can be a major accelerator of the spread of misinformation, thereby potentially compromising both individual well-being and social cohesion. Despite significant recent advances, the study of online misinformation is a relatively young field facing several (methodological) challenges. In this regard, the detection of online misinformation has proven difficult, as online large-scale data streams require (semi-)automated, highly specific and therefore sophisticated methods to separate posts containing misinformation from irrelevant posts. In the present paper, we introduce the adaptive community-response (ACR) method, an unsupervised technique for the large-scale collection of misinformation on Twitter (now known as ’X’). The ACR method is based on previous findings showing that Twitter users occasionally reply to misinformation with fact-checking by referring to specific fact-checking sites (crowdsourced fact-checking). In a first step, we captured such misinforming but fact-checked tweets. These tweets were used in a second step to extract specific linguistic features (keywords), enabling us to collect also those misinforming tweets that were not fact-checked at all as a third step. We initially present a mathematical framework of our method, followed by an explicit algorithmic implementation. We then evaluate ACR on the basis of a comprehensive dataset consisting of >25\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$>25$$\\end{document} million tweets, belonging to >300\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$>300$$\\end{document} misinforming stories. Our evaluation shows that ACR is a useful extension to the methods pool of the field, enabling researchers to collect online misinformation more comprehensively. Text similarity measures clearly indicated correspondence between the claims of false stories and the ACR tweets, even though ACR performance was heterogeneously distributed across the stories. A baseline comparison to the fact-checked tweets showed that the ACR method can detect story-related tweets to a comparable degree, while being sensitive to different types of tweets: Fact-checked tweets tend to be driven by high outreach (as indicated by a high number of retweets), whereas the sensitivity of the ACR method extends to tweets exhibiting lower outreach. Taken together, ACR’s capacity as a valuable methodological contribution to the field is based on (i) the adoption of prior, pioneering research in the field, (ii) a well-formalized mathematical framework and (iii) an empirical foundation via a comprehensive set of indicators.

Sustainability Factor for the Cost–Benefit Analysis of Building-Integrated Greenery Systems

Building-integrated greenery (BIG) systems, which include green roofs and green facades, are well-established nature-based solutions (NBS) with proven scientific benefits. However, initial costs and economic apprehensions stemming from potential negative outcomes act as adoption barriers. Furthermore, the lack of standardized indicators and assessment methodologies for evaluating the city-level impacts of BIG systems presents challenges for investors and policy makers. This paper addresses these issues by presenting a comprehensive set of indicators derived from widely accepted frameworks, such as the Common International Classification of Ecosystem Services (CICES) and the NBS impact evaluation handbook. These indicators contribute to the creation of a ‘sustainability factor’, which facilitates cost–benefit analyses for BIG projects using locally sourced data. The practical application of this factor to a 3500 m2 green roof in Lleida, Catalonia (Spain) demonstrates that allocating space for urban horticultural production (i.e., food production), CO2 capture, and creating new recreational areas produces benefits that outweigh the costs by a factor value of nine during the operational phase of the green roof. This cost–benefit analysis provides critical insights for investment decisions and public policies, especially considering the significant benefits at the city level associated with the implementation of BIG systems.

Measuring health equity in the ASEAN region: conceptual framework and assessment of data availability

BackgroundExisting research on health equity falls short of identifying a comprehensive set of indicators for measurement across health systems. Health systems in the ASEAN region, in particular, lack a standardised framework to assess health equity. This paper proposes a comprehensive framework to measure health equity in the ASEAN region and highlights current gaps in data availability according to its indicator components.MethodsA comprehensive literature review was undertaken to map out a core set of indicators to evaluate health equity at the health system level. Secondary data collection was subsequently conducted to assess current data availability for ASEAN states in key global health databases, national health accounts, and policy documents.ResultsA robust framework to measure health equity was developed comprising 195 indicators across Health System Inputs and Processes, Outputs, Outcomes, and Contextual Factors. Total indicator data availability equated to 72.9% (1423/1950). Across the ASEAN region, the Inputs and Processes sub-component of Health Financing had complete data availability for all indicators (160/160, 100%), while Access to Essential Medicine had the least data available (6/30, 20%). Under Outputs and Outcomes, Coverage of Selected Interventions (161/270, 59.63%) and Population Health (350/350, 100%) respectively had the most data available, while other indicator sub-components had little to none (≤ 38%). 72.145% (384/530) of data is available for all Contextual Factors. Out of the 10 ASEAN countries, the Philippines had the highest data availability overall at 77.44% (151/195), while Brunei Darussalam and Vietnam had the lowest data availability at 67.18% (131/195).ConclusionsThe data availability gaps highlighted in this study underscore the need for a standardised framework to guide data collection and benchmarking of health equity in ASEAN. There is a need to prioritise regular data collection for overlooked indicator areas and in countries with low levels of data availability. The application of this indicator framework and resulting data availability analysis could be conducted beyond ASEAN to enable cross-regional benchmarking of health equity.

Identification and classification of indicators for evaluating health information systems

BackgroundSeveral evaluation methods are used to determine the advantages and disadvantages of healthcare information systems and their contribution to attaining organizational goals. Despite the existence of many evaluation frameworks, there is no comprehensive set of indicators that evaluate different dimensions of information systems. This study aimed to develop a set of indicators for evaluating health information systems. MethodsThis research was conducted in three phases. First, based on a literature review of PubMed, Web of Science, Scopus, and Embase databases, studies using the health information system evaluation methods were extracted. Second, consecutive focus group meetings were held with scientific and executive experts to discuss the list of evaluation indicators extracted from the studies. In these meetings, the experts agreed on including, removing, adding, combining, and grouping the indicators. Third, the indicators were weighted using the Analytical Network Process (ANP) method, and the set of evaluation indicators was finalized. ResultsThe review of 177 relevant articles resulted in the extraction of 360 indicators. During the focus group meetings, 174 overlapping and duplicate indicators were eliminated and 61 indicators were added to the model based on experts’ suggestions. The remaining 247 indicators were classified into a four-level hierarchy. The final set consisted of 4 dimensions, 16 criteria, 47 markers, and 180 indicators. ConclusionWe developed a comprehensive general set of indicators that helps researchers, designers, and developers of health information systems to evaluate different dimensions of these systems. This set can also be used to improve the design of relevant systems.

Assessing the spatial spillover effects and influencing factors of carbon emission efficiency: a case of three provinces in the middle reaches of the Yangtze River, China.

Studying urban carbon emission efficiency is vital for promoting city collaboration in combating climate change. Prior research relied on traditional econometric models, lacking spatial spillover effects understanding at the urban scale. To provide a more comprehensive and visually insightful representation of the evolving characteristics of carbon emission efficiency and its spatial clustering effects and to establish a comprehensive set of indicators to explore the spatial spillover pathways of urban carbon emission efficiency, we conducted an analysis focusing on 42 cities in the middle reaches of the Yangtze River. By employing the index decomposition method, the super-efficiency SBM model, spatial autocorrelation analysis, and the spatial Durbin model, the study calculates the urban carbon emission efficiency from 2011 to 2019 and analyzes the spatial spillover effects and influencing factors of urban carbon emission efficiency. The main conclusions are as follows: (1) Jiangxi Province displayed stable urban carbon emission efficiency evolution, while Hubei and Hunan showed significant internal disparities. (2) Positive spatial correlation exists in urban carbon emission efficiency, with an imbalanced distribution. (3) Various factors influence urban carbon emission efficiency. Technological innovation and economic development have positive direct and indirect impacts, whereas industrial structure, urbanization, population, and energy consumption have negative effects. Spatial spillover effects of vegetation coverage are insignificant. These methods and findings offer insights for future research and policy formulation to promote regional sustainable development and carbon emission reduction.

Problems of the domestic enterprises’ competitive potential formation in the European markets (on the example of the artificial Christmas tree industry)

Introduction. In the conduct of enterprises' activities during the full-scale war of the russian federation against Ukraine, special attention should be paid to the formation of enterprises labor and production potential, since the post-war development of organizations will be based on the involvement of high-quality raw materials and employees who can effectively use them. The paper identifies the main problems with the formation of the level of competitive potential of enterprises producing artificial Christmas trees. As a result, the authors suggests optimal ways to solve these problems, in particular, it is recommended to search for a new approach to assessing the level of development of the labor component of the competitive potential of an enterprise on the basis of a comprehensive set of indicators and to reorient to the application of European standards in the material and raw material supply of the production process of enterprises producing artificial Christmas trees. The purpose of the paper is to identify the problems of selecting and implementing tools to increase the competitive potential of enterprises producing artificial Christmas trees in European markets and provide the recommended ways to solve them. Results. The main problems within the formation of the level of competitive potential of enterprises producing artificial Christmas trees are the imperfection of the formation and assessment of labor potential due to the imperfection of the system of its assessment and the formation of production potential due to the use of raw materials that do not meet the standards and requirements of the legislation of the European Union. Conclusion. Authors’ recommendation is to search for a new approach to assessing the level of development of the enterprises’ competitive potential labor component based on a quantitative and qualitative set of indicators and to reorient to the application of European standards in the raw material supply of the production process of artificial Christmas tree enterprises, which will increase their competitive potential in the EU markets.

The Impact of Fintech on Economic Growth in Singapore

The study examines the impact of financial technology on economic growth in Singapore. Using time-series data on Singapore's financial technology from 2010 to 2022, The study constructs a financial technology index based on a comprehensive set of indicators. Through VAR modeling, the study assesses the effects of financial technology on the interest rate market, consumer market, and investment market, as well as its role in driving economic growth. The results indicate that financial technology has a positive impact on Singapore's economic growth. The calculation of the Fintech Index reveals a continuous improvement in Singapore's level of financial technology. The VAR analysis demonstrates that the development of financial technology has significant impacts on the interest rate market, consumer market, and investment market in Singapore. This suggests that the advancement of financial technology helps lower market interest rates, enhances the experiences of consumers and investors, and promotes consumption and investment growth. These findings highlight the significant role of financial technology in driving economic growth in Singapore.

Rising energy inequity and its driving factors to approach a just energy transition in China

China, as the world's largest emitter of greenhouse gases, faces the urgent need to transition to a sustainable and low-carbon energy system. A just energy transition is vital to ensure that this transformation is equitable, taking into account social, economic, and environmental factors. One crucial aspect of this transition is assessing provincial energy efficiency across China. This study aims to analyze the energy efficiency performance of different provinces in China and evaluate their progress towards a just energy transition. By employing a comprehensive set of indicators, including energy intensity, energy consumption patterns, renewable energy deployment, and social equity considerations, this research provides a nuanced understanding of the provincial energy landscape. In the last 12 years, the energy efficiency performance of Chinese provinces has exhibited a concerning trend, with 87.1% of the provinces experiencing a decline in energy efficiency. The analysis reveals a significant and consistent decline in energy efficiency across all three regions (eastern, middle, and western) over the course of the past 12 years. Energy efficiency inequality is a prevalent issue observed across all provinces in China, with the eastern region consistently demonstrating higher energy efficiency levels compared to the western region. Each region (eastern region [industry structure and urbanization], middle region [industry structure and financial support] and western region [industry structure and industrialization]) in China presents unique considerations and challenges that must be taken into account to improve energy efficiency effectively. Ultimately, this research seeks to provide valuable insights into shaping effective policies that can accelerate China's progress towards a sustainable and equitable energy future.

Enhancing Sustainability in Belize’s Ecotourism Sector: A Fuzzy Delphi and Fuzzy DEMATEL Investigation of Key Indicators

Sustainable ecotourism has become a strategy to balance tourism growth with environmental and sociocultural considerations. This study aims to propose an integrated approach of the Delphi technique and the decision-making trial and evaluation laboratory (DEMATEL) based on fuzzy set theory to investigate sustainable ecotourism indicators in Belize. The study covers six dimensions: environmental, social, cultural, economic, political, and intrinsic. Firstly, the Fuzzy Delphi technique constructs a comprehensive set of indicators with expert consensus, resulting in 51 relevant and representative indicators out of the initial 63. Secondly, the Fuzzy DEMATEL approach is then applied to analyze the interdependencies among indicators and identify their causal relationships, providing insights into the complex dynamics of sustainable ecotourism in Belize. The results provide a structured decision-making framework to prioritize actions, allocate resources effectively, and promote sustainable practices in the ecotourism sector. Therefore, these findings enhance the understanding of indicator interconnections across dimensions, enabling informed decision making for policymakers, industry practitioners, and researchers. Policymakers can develop policies and regulations that foster sustainable practices, while industry practitioners can enhance visitor experiences, engage with local communities, and ensure the industry’s long-term viability. Researchers can further investigate specific dimensions and indicators to advance the knowledge and implementation of sustainable ecotourism. Finally, this investigation supports the goal of achieving a harmonious and sustainable balance between tourism development and environmental preservation in Belize. By safeguarding the natural and cultural heritage of the region, sustainable ecotourism can benefit present and future generations.

Development of a comprehensive assessment tool to measure the quality of care for individuals with traumatic spinal cord injuries.

To develop a comprehensive assessment tool to evaluate the Quality of Care (QoC) in managing individuals with traumatic spinal cord injuries (TSCI). At first, the concepts of QoC for TSCI were identified by conducting a qualitative interview along with re-evaluation of the results of a published scoping review (conceptualization). After operationalization of indicators, they were valued by using the expert panel method. Afterward, the content validity index (CVI) and content validity ratio (CVR) were calculated and served as cut-offs for indicator selection. Then specific questions were developed for each indicator and classified into three categories: pre-hospital, in-hospital, and post-hospital. Data availability of the National Spinal Cord Injury Registry of Iran (NSCIR-IR) was subsequently used to design questions that represent indicators in an assessment tool format. The comprehensiveness of the tool was evaluated using a 4-item Likert scale by the expert panel. Twelve experts participated in conceptualization and 11 experts participated in operationalization phase. Overall, 94 concepts for QoC were identified from published scoping review (87 items) and qualitative interviews (7 items). The process of operationalization and indicator selection led to the development of 27 indicators with acceptable content validity. Finally, the assessment tool contained three pre-hospital, twelve in-hospital, nine post-hospital, and three mixed indicators. Ninety-one percent of experts evaluated the entire tool as comprehensive. Our study presents a health-related QoC tool that contains a comprehensive set of indicators to assess the QoC for individuals with TSCI. However, this tool should be used in various situations to establish construct validity further.

On the role of sustainable buildings in achieving the 2030 UN sustainable development goals

Built environment plays a series of key roles in the society and in everyday life and it is also worldwide recognised to be one of the main contributors to the global energy demand and to the emission of greenhouse gases. Achieving sustainability in the building and construction industry is, therefore, crucial to contribute the global transition to a sustainable carbon-neutral built environment: in this regard, the adoption of the 2030 Agenda and the related SDGs would play a strategic role.This paper was set and developed with the aim of identifying the multiple key interactions between buildings and SDGs and, consequently, drawing considerations and points-of-view on a possible, preliminary approach to assess the role of buildings in the achievement of SDGs and their targets.A quantitative evaluation approach focussed on the environmental dimension of sustainability and based on Life Cycle Assessment on the building scale was proposed by the authors. The approach could represent the potential basis for the development of a comprehensive and scientifically-based method for large-scale applications aimed at determining and improving the way buildings affect SDGs. According to this paper's authors' proposal, after the selection of a comprehensive set of indicators and their linkage to the various SDGs, the assessment should be carried out considering reference values for the indicators, specific targets coherent with SDGs (and their targets) for each indicator and key statistical parameters for the built environment, such as the yearly built area.

Extracting human perceptions from street view images for better assessing urban renewal potential

Accurate and efficient assessment of large-scale urban renewal potential is an indispensable prerequisite for managing and facilitating projects. However, few studies consider the built environment when assessing urban renewal potential because it is difficult to measure. Street view images can show the physical setting of a place for humans to perceive the built environment. Hence, we separately extracted emotional and visual perceptions from street view images to construct a new comprehensive indicator set to assess multi-class urban renewal potentials. To establish the assessment model, we applied a backpropagation neural network based on the presence and background learning (PBL-BPNN). The renewal potential assessment based on the proposed indicator set can reach the highest accuracy. Emotional perceptions contribute more to assessing renewal potential than visual perceptions because they are more consistent in portraying the blighted built environment. Emotionally, the ratings of safety, boring, depression, and lively are stable in the blighted built environment. Visually, greenness and imageability often remain at lower values, highlighting the importance of greenspace and urban furniture in determining urban renewal. Furthermore, multi-class renewal potentials can be used for scenario analysis by assuming different renewal intentions. The results can support governments and planners in making efficient urban renewal decisions.

The economic and institutional dynamics of China’s growing financial influence: a “structural power” perspective

What are the economic and institutional dynamics behind China’s growing aspirations to expand its financial influence? Drawing on Susan Strange’s notion of “structural power”, this article examines China’s quest for superiority within the financial realm since the early 2000s. Our findings suggest that China’s financial rise is mainly driven by its efforts at increasing its “international monetary power” and developing its ability to control international credit and investment flows within a new normative and institutional framework. The main contribution of this article lies in conceptualizing China’s growing financial influence based on a comprehensive set of indicators to develop Strange’s theory.

МЕТОДИЧНІ ЗАСАДИ ОЦІНЮВАННЯ ІНКЛЮЗИВНОСТІ АГРАРНИХ БІЗНЕС-СТРУКТУР

Achieving the sustainable development goals is closely linked to increasing the inclusiveness of agriculture and rural areas. The urgent need to implement global and national plans to improve the well-being of people requires transformational change in terms of sustainability, inclusiveness and an appropriate assessment of the progress achieved. The article is devoted to the study and systematisation of methodological principles for assessing the level of inclusiveness of social development, particularly in agriculture. The variety of existing methods currently needs to provide a complete scientific and methodological basis for determining the multifaceted processes of sustainability and inclusiveness. The actual set of indicators for assessing the level of inclusiveness at different levels of management of inclusive transformations was examined on the basis of the results of a scientific search. The UN, World Bank, IMF and OECD methodologies were the most widely used. The analysis of Ukraine's economy's inclusiveness level, based on the inclusive development index in the global ranking, revealed a negative trend towards declining inclusive processes. This article outlines the link between sustainable development goals and the objective of achieving agro-inclusion in domestic practice. Sustainable development goals 1, 5, 8, 10, and 13 display the highest correlation with agro-inclusion. It has been suggested that a system of key indicators be established and analysed across three tiers of economic management. The results of the study were used to organise a comprehensive set of indicators aimed at assessing the extent of inclusive change within society. Agricultural and rural area inclusive growth were given particular focus. A set of criteria and indicators for assessing the achieved level of agro-inclusion for the micro-level of management (the status of a separate agricultural unit) was proposed as the main result of the study. The system of criteria and indicators for the assessment of the micro-level of inclusiveness of development was presented in the complementarity of economic, social, political and ecological components of agro-inclusion.

Data-Based Approach to Educational Programs Quality Management

The purpose of this article is to describe and justify the approach to assessing the quality of educational programs that have been developed and tested at ITMO University since 2019. The article presents the main indicators of assessment and the results of testing this approach at the university. The main unit of quality is an educational program, as it has a long-life cycle and meets the needs of most stakeholders of the educational organization. Taking into account all the features of an educational program, the authors propose a comprehensive set of indicators to assess its quality, which makes it possible to objectively manage it data-based. In conclusion, for completing the task of analyzing the life cycle of an educational program, the authors present an internal rating of educational programs, concise examples of recommendations based on its results. The advantages of the approach to managing educational programs are described, and ways for further development are presented. The article may be of interest to the managers and management teams of institutions of higher education, as well as to the researchers in this field.