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Criterion measures are foundational to an effective selection and classification process and valid enlistment aptitude standards. The Department of Defense, when possible, considers eligibility standards based on empirical evidence of the relationship between recruit attributes and applicable performance to be best practice. Ensuring use and incorporation of appropriate criteria is critical to this process. However, this process is often complex and costly. Numerous policy related issues must be considered. This paper provides commentary on each of the technical papers included in this issue from a policy and operational perspective. [ABSTRACT FROM AUTHOR]

Criterion identification and measurement is often an afterthought in criterion-related validation research. Yet it is essential in determining what predictor measures to use in operational settings. Accordingly, this special issue discusses recent advances in addressing the "criterion problem" in U.S. military enlisted personnel selection and classification research. In this introductory paper, broad issues regarding criterion identification and measurement in the military and previous research on this topic are reviewed and subsequent papers, which address specific criterion issues and describe an unprecedented joint-service criterion project, are introduced. [ABSTRACT FROM AUTHOR]

India’s experience with the National Rural Health Mission (NRHM) is notable on account of nationally formalising – at scale – community action in service delivery,monitoring, and planning of health services. A study was undertaken to document and create a historical record of NRHM’s ‘communitization’ processes. The oral history method of the Witness Seminar was adopted and two virtual seminars with five and nine participants, respectively, were conducted, and supplemented with 4 in depth interviews. Analysis of transcripts was done using ATLAS.ti 22 with the broad themes of emergence, evolution, and evaluation and impact of ‘communitization’ under NRHM. This paper engages with the theme of ‘emergence’ and adopts the Multiple Streams Framework (MSF) conceptualised by John Kingdon for analysis. Key findings include the pioneering role of boundary spanning decision makers and the Jan Swasthya Abhiyan (JSA) in advocacy and design of ‘communitization’ structures, and the legacy of rights based social mobilizations and state-civil society partnerships in health during the 1990s influencing the ethos underlying ‘communitization’. Democracy, leadership from the civil society in policy design and implementation, and state-civil society partnerships are linked to the positive results witnessed as part of ‘communitization’ in NRHM. [ABSTRACT FROM AUTHOR]

Pharmaceutical sector corruption undermines patient access to medicines by diverting public funds for private gain and exacerbating health inequities. This paper presents an analysis of UN Convention Against Corruption (UNCAC) compliance in seven countries and examines how full UNCAC adoption may reduce corruption risks within four key pharmaceutical decision-making points: product approval, formulary selection, procurement, and dispensing. Countries were selected based on their participation in the Medicines Transparency Alliance and the WHO Good Governance for Medicines Programme. Each country’s domestic anti-corruption laws and policies were catalogued and analysed to evaluate their implementation of select UNCAC Articles relevant to the pharmaceutical sector. Countries displayed high compliance with UNCAC provisions on procurement and the recognition of most public sector corruption offences. However, several countries do not penalise private sector bribery or provide statutory protection to whistleblowers or witnesses in corruption proceedings, suggesting that private sector pharmaceutical dispensing may be a decision-making point particularly vulnerable to corruption. Fully implementing the UNCAC is a meaningful first step that countries can take reduce pharmaceutical sector corruption. However, without broader commitment to cultures of transparency and institutional integrity, corruption legislation alone is likely insufficient to ensure long-term, sustainable pharmaceutical sector good governance. [ABSTRACT FROM AUTHOR]

Qualitative research provides an in-depth understanding of lived experiences. However, these experiences can be hard to apprehend by using just one method of data analysis. A good example is the experience of resilience. In this paper, the authors describe the chain of the decision-making process in the research of the construct of "resilience". s The authors justify the implications of a multi-method, pluralistic approach, and show how the triangulation of two or more qualitative methods and integration of several qualitative data analysis methods can improve a deeper understanding of the resilience among people with chronic pain. By combining the thematic analysis, narrative analysis, and critical incident technique, lived experiences can be seen from different perspectives.Therefore, the thematic analysis describes the content and answers to "what" regarding resilience, the narrative analysis describes the dynamics of resilience, and answers to "how", while the critical incident technique clarifies the most significant experience and the answers to "why" changes happen. This integrative approach could be used in the analysis of other psychological constructs and can serve as an example of how the rigour of qualitative research could be provided. [ABSTRACT FROM AUTHOR]

Graduate medical education (GME) and Clinical Competency Committees (CCC) have been evolving to monitor trainee progression using competency-based medical education principles and outcomes, though evidence suggests CCCs fall short of this goal. Challenges include that evaluation data are often incomplete, insufficient, poorly aligned with performance, conflicting or of unknown quality, and CCCs struggle to organize, analyze, visualize, and integrate data elements across sources, collection methods, contexts, and time-periods, which makes advancement decisions difficult. Learning analytics have significant potential to improve competence committee decision making, yet their use is not yet commonplace. Learning analytics (LA) is the interpretation of multiple data sources gathered on trainees to assess academic progress, predict future performance, and identify potential issues to be addressed with feedback and individualized learning plans. What distinguishes LA from other educational approaches is systematic data collection and advanced digital interpretation and visualization to inform educational systems. These data are necessary to: 1) fully understand educational contexts and guide improvements; 2) advance proficiency among stakeholders to make ethical and accurate summative decisions; and 3) clearly communicate methods, findings, and actionable recommendations for a range of educational stakeholders. The ACGME released the third edition CCC Guidebook for Programs in 2020 and the 2021 Milestones 2.0 supplement of the Journal of Graduate Medical Education (JGME Supplement) presented important papers that describe evaluation and implementation features of effective CCCs. Principles of LA underpin national GME outcomes data and training across specialties; however, little guidance currently exists on how GME programs can use LA to improve the CCC process. Here we outline recommendations for implementing learning analytics for supporting decision making on trainee progress in two areas: 1) Data Quality and Decision Making, and 2) Educator Development. [ABSTRACT FROM AUTHOR]

Although collaborative decision-making with multiple stakeholders in supply chain has become an important research issue in recent years, current research on the mechanism/process, methods, and performance assessment of collaborative decision-making still lags behind the practical needs in supply chain management. This paper reviews the existing literature in the past decade on collaborative supply chain from the perspective of decision-making in four stages with a causal framework. This paper reveals a general retrospect of the main subjects developed and investigated with related applications of cases, which includes both theoretical assumptions and practical data. The findings indicate that most articles in this field are based on a direct relationship between collaboration and performance improvement but lack of a mechanism between them. Additionally, dynamic collaboration with members in the whole supply chain both horizontally and vertically has not been conducted by previous studies. This paper provides a new conceptual framework and future research directions for further study in supply chain collaboration. [ABSTRACT FROM AUTHOR]

Socio-hydrology has expanded and been effective in exposing the hydrological community to ideas and approaches from other scientific disciplines, and social sciences in particular. Yet it still has much to explore regarding how to capture human agency and how to combine different methods and disciplinary views from both the hydrological and the social sciences to develop knowledge. A useful starting ground is noting that the complexity of human–water relations is due to interactions not only across spatial and temporal scales but also across different organizational levels of social systems. This calls for consideration of another analytical scale, the human organizational scale, and interdisciplinarity in study methods. Based on the papers published in this journal's Special Issue Advancing Socio-hydrology over 2019–2022, this paper illuminates how the understanding of coupled human–water systems can be strengthened by capturing the multi-level nature of human decision making and by applying an interdisciplinary multi-method approach. [ABSTRACT FROM AUTHOR]

One of the key aspects of digitalization brought by Industry 4.0 is driven by the Internet of Things. Perhaps, the most interesting component of digital transformation is Augmented Reality. Augmented reality is merging the digital and physical worlds in the same experience. This new technology is accepted and applications are initiated in various areas including manufacturing. The main usage area in manufacturing is planning, execution, and verification of the assembly and maintenance operations. Likewise, augmented reality is used in the training of inexperienced people and to guide them by remote expert support. However, the augmented reality application selection, especially for non-technology savvy manufacturing organizations is challenging. Detailed and time-consuming analyses are required to understand the key features to compare and select the most suitable augmented reality application. In this paper, the most critical nine augmented reality software selection criteria are identified. To help organizations to apply such criteria and make a selection that is most suitable for the enterprise, a multi criteria decision-making approach is suggested. The suggested method is based on a fuzzy spherical number. The complex proportional assessment method is used to calculate the rankings. Therefore, the suggested method is called SF-COPRAS. Moreover, the detailed definition of augmented reality features and terminologies is explained. Several augmented reality use-case scenarios are discussed for manufacturing organizations on their Industry 4.0 initiatives. This paper aims to guide decision makers on their augmented reality software selection journey. The offered framework aims to save time for investigating augmented reality solution features systematically and objectively. [ABSTRACT FROM AUTHOR]

In order to improve the effect of precision intelligent agricultural decision support system, this paper combines big data technology to carry out precision mining of agricultural data, and combines decision tree algorithm to carry out data classification processing. Moreover, this paper obtains the most effective agricultural decision reference data through data mining, combines the agricultural decision support process to set the functional modules of the decision system, and analyzes the implementation process of each functional module. In addition, this paper studies the theoretical basis and key technologies of the agricultural production structure optimisation decision support system, and builds a precision and intelligent agricultural decision support system based on big data analysis. The system mainly performs accurate processing of agricultural data and makes effective predictions, and then makes scientific decision results. Finally, this paper verifies the structure of the model in this paper combined with experimental analysis. From the comparison of experiments, it can be seen that the precision and intelligent agricultural decision support system constructed in this paper has significant effects. [ABSTRACT FROM AUTHOR]

The project 'Quality Decision-making by women and providers' (QUALI-DEC) combines four non-clinical interventions to promote informed decision-making surrounding mode of birth, improve women's birth experiences, and reduce caesarean sections among low-risk women. QUALI-DEC is currently being implemented in 32 healthcare facilities across Argentina, Burkina Faso, Thailand, and Viet Nam. In this paper, we detail implementation processes and the planned process evaluation, which aims to assess how and for whom QUALI-DEC worked, the mechanisms of change and their interactions with context and setting; adaptations to intervention and implementation strategies, feasibility of scaling-up, and cost-effectiveness of the intervention. We developed a project theory of change illustrating how QUALI-DEC might lead to impact. The theory of change, together with on the ground observations of implementation processes, guided the process evaluation strategy including what research questions and perspectives to prioritise. Main data sources will include: 1) regular monitoring visits in healthcare facilities, 2) quantitative process and output indicators, 3) a before and after cross-sectional survey among post-partum women, 4) qualitative interviews with all opinion leaders, and 5) qualitative interviews with postpartum women and health workers in two healthcare facilities per country, as part of a case study approach. We foresee that the QUALI-DEC process evaluation will generate valuable information that will improve interpretation of the effectiveness evaluation. At the policy level, we anticipate that important lessons and methodological insights will be drawn, with application to other settings and stakeholders looking to implement complex interventions aiming to improve maternal and newborn health and wellbeing. Trial registration: ISRCTN67214403. [ABSTRACT FROM AUTHOR]

Due to the workload and lack of a critical mass of trained operational researchers within their ranks, health systems and programmes may not be able to dedicate sufficient time to conducting operational research (OR). Hence, they may need the technical support of operational researchers from research/academic organisations. Additionally, there is a knowledge gap regarding implementing differentiated tuberculosis (TB) care in programme settings. In this 'how we did it' paper, we share our experience of implementing a differentiated TB care model along with an inbuilt OR component in Tamil Nadu, a southern state in India. This was a health system initiative through a collaboration of the State TB cell with the Indian Council of Medical Research institutes and the World Health Organisation country office in India. The learnings are in the form of eleven tips: four broad principles (OR on priority areas and make it a health system initiative, implement simple and holistic ideas, embed OR within routine programme settings, aim for long-term engagement), four related to strategic planning (big team of investigators, joint leadership, decentralised decision-making, working in advance) and three about implementation planning (conducting pilots, smart use of e-tools and operational research publications at frequent intervals). These may act as a guide for other Indian states, high TB burden countries that want to implement differentiated care, and for operational researchers in providing technical assistance for strengthening implementation and conducting OR in health systems and programmes (TB or other health programmes). Following these tips may increase the chances of i) an enriching engagement, ii) policy/practice change, and iii) sustainable implementation. [ABSTRACT FROM AUTHOR]

Climate change is an important driver of migration, but little research exists on whether migrant communities in the U.S. identify climate change-related factors as reasons for migrating. In 2021, we conducted a multidisciplinary, collaborative project to better understand the nexus of climate change and immigrant health in the Atlanta area. This paper presents one arm of this collaboration that explored both the role of climate change in decisions to immigrate to Georgia and the ways that climate change intersects with other possible drivers of migration. First generation migrants from Latin America were recruited primarily through CPACS Cosmo Health Center and were invited to participate in an intake survey and an in-depth interview. Results were analyzed using descriptive statistics and thematic analysis. Findings suggest that while participants may not have explicitly identified climate change as a primary reason for migration, in both surveys and in-depth interviews, participants reported multiple and intersecting social, economic, political, and environmental factors that are directly or indirectly influenced by climate change and that are involved in their decisions to migrate. The narratives that emerged from in-depth interviews further contextualised survey data and elucidated the complex nexus of climate change, migration, and health. [ABSTRACT FROM AUTHOR]

Agent-based modelling is a powerful tool when simulating human systems, yet when human behaviour cannot be described by simple rules or maximizing one's own profit, we quickly reach the limits of this methodology. Machine learning has the potential to bridge this gap by providing a link between what people observe and how they act in order to reach their goal. In this paper we use a framework for agent-based modelling that utilizes human values like fairness, conformity and altruism. Using this framework we simulate a public goods game and compare to experimental results. We can report good agreement between simulation and experiment and furthermore find that the presented framework outperforms strict reinforcement learning. Both the framework and the utility function are generic enough that they can be used for arbitrary systems, which makes this method a promising candidate for a foundation of a universal agent-based model. [ABSTRACT FROM AUTHOR]

Evidence-based decision making often relies on meta-analyzing multiple studies, which enables more precise estimation and investigation of generalizability. Integrative analysis of multiple heterogeneous studies is, however, highly challenging in the ultra high-dimensional setting. The challenge is even more pronounced when the individual-level data cannot be shared across studies, known as DataSHIELD contraint. Under sparse regression models that are assumed to be similar yet not identical across studies, we propose in this paper a novel integrative estimation procedure for data-Shielding High-dimensional Integrative Regression (SHIR). SHIR protects individual data through summary-statistics-based integrating procedure, accommodates between-study heterogeneity in both the covariate distribution and model parameters, and attains consistent variable selection. Theoretically, SHIR is statistically more efficient than the existing distributed approaches that integrate debiased LASSO estimators from the local sites. Furthermore, the estimation error incurred by aggregating derived data is negligible compared to the statistical minimax rate and SHIR is shown to be asymptotically equivalent in estimation to the ideal estimator obtained by sharing all data. The finite-sample performance of our method is studied and compared with existing approaches via extensive simulation settings. We further illustrate the utility of SHIR to derive phenotyping algorithms for coronary artery disease using electronic health records data from multiple chronic disease cohorts. [ABSTRACT FROM AUTHOR]

This paper presents a machine-learning-based method for evaluating the internal value of talent in any organization and for evaluating the salary criteria. The study assumes the design and development of a salary predictor, based on artificial intelligence technologies, to help determine the internal value of employees and guarantee internal equity in the organization. The aim of the study is to achieve internal equity, which is a critical element a that directly affects employees' motivation. We implemented and validated the method with 130 employees and more than 70 talent acquisition cases with a Basque technology research organization during the years 2021 and 2022. The proposed method is based on statistical data assessment and machine-learning-based regression. We found that while most organizations have established variables for job evaluation as well as salary increments for staff according to their contribution to the organization, only a few employ tools to support equitable internal compensation. This study presents a successful real case of artificial intelligence applications where machine learning techniques help managers make the most equitable and least biased salary decisions possible, based on data. [ABSTRACT FROM AUTHOR]

The aim of this paper is to decide on heavy metal levels based on ecological parameters by effectively eliminating common disadvantages such as high cost and serious time-consuming laboratory procedures via an effective artificial intelligence approach. Therefore, this study is hinged on an artificial intelligence technique, ANN, because of its low cost and high accuracy in overcoming the mentioned limitations and obstacles in the determination process of the amounts of elements. The ANNs have thus been employed to determine essential heavy metals, such as Fe, Mn, and Zn depending on Ca, K, and Mg concentrations of soil samples obtained from different altitudes in Mount Ida. To the best knowledge of the authors, this is the first study in the literature in which altitude was considered as a parameter in the prediction of nutrient heavy metals. The computed relative errors are significantly low for each of the considered elements (Fe, Mn, and Zn); and are found to be between 1.0-4.1%, 1.0-4.2%, 1.5-7.1%, respectively, for the training, testing, and holdout data. The findings indicate that the relative errors could still be decreased further by assuming the altitude as a factor variable. [ABSTRACT FROM AUTHOR]

Shared decision making (SDM) has been acknowledged in the last decade. Literature has shown that when physicians are engaged in SDM and form a relationship with their patients, there is higher patient satisfaction of care. Moreover, SDM has been reported to improve patient outcomes and clinical measures. Despite this clear benefit of implementing SDM into clinical practice, there is little evidence for including SDM learning into preclinical medical education. We integrated an exercise for second year medical students to practice the steps of shared decision making. In this paper, the quantitative and qualitative results from a survey of medical students following the SDM learning exercise will be discussed. Students were more educated regarding SDM after this exercise and were motivated to use it in their future clinical careers. They also expressed overall positive attitudes towards SDM tools such as decision aids. Feedback to improve this SDM learning experience included the use of standardized patients, and to expand such education to the clinical environment training. This research provides a model of SDM practice integration into medical education. Similar programs can be beneficial for the development of SDM and other interpersonal skills. [ABSTRACT FROM AUTHOR]

Waste Management has become a challenging topic for fast-growing areas in many countries. The situation became worse when more and more countries have banned the import of different types of wastes. In this paper, we showcase a real-life example of an intelligent way of managing waste using Smart Bins over the Internet of Things and an integration with a dashboard system for decision-makers. We examined if there is any correlation between the smart bins' fullness and the date or month. [ABSTRACT FROM AUTHOR]

In this paper we aim at determining the link between EIA report substance and administratively just EIA decisions. In so doing, previous research based on 42 case studies from South Africa, which analysed whether they comprised administratively just decisions (i.e. that were lawful, procedurally fair and reasonable) were reviewed for the substance of the EIA reports on which the decisions were based. The research found that administratively just decisions can be achieved even with weak EIA report substance in areas such as: need and desirability, identifying alternatives, dealing with significance, and addressing mitigation measures. We thereby conclude that administrative justice may be a false safety net in ensuring more environmentally sustainable EIA outcomes if not supported and informed by good EIA report substance. We conclude by making recommendations to improve substance and thereby strengthening administrative justice in EIA. [ABSTRACT FROM AUTHOR]

The preferences a person has for care are associated with outcomes for patients presenting with musculoskeletal pain conditions. These include preferences for differing levels of involvement in the decision-making process, preferences for the provider attributes, and preferences for particular interventions. In this paper, we discuss these various forms of preference, as well as how they influence clinical care within shared decision-making frameworks. We also present a conceptual framing for how patient preferences can be incorporated in clinical decision-making by orthopedic manual physical therapists. Finally, research implications for interpreting findings from clinical studies are discussed. [ABSTRACT FROM AUTHOR]

This paper presents the parametric design optimisation of the bellows multi-response convolution stresses using multiple attribute decision making (MADM) technique. Grey Relational Analysis (GRA) in conjunction with Principal Components Analysis (PCA) has been employed to find a single response grade (PCA-GRG). Experimental stress analysis was carried out using L25 Taguchi orthogonal array (OA) by considering the design parameters, namely, ply thickness (tp), convolution height (H),convolution pitch (q), and bellows pitch diameter (dp). Analysis of variance (ANOVA) has been implemented to identify the most influenced significant design parameters and optimal design level settings using PCA-GRG. Confirmation test was conducted which proves the improvement in GRG by 0.042 (25.30%) over the initial setting of the factors. Further, multiple regression mathematical models were developed to find the best alternate optimal solutions and verified it by comparing with experimental GRG and Taguchi predictions. Alternate optimal solution signifies the improvement in PCA-GRG over the initial parameter setting from 13.04% to 32.6%, which directs the extensive reduction in the stresses. This verification proves the potential of the integrated PCA-GRG approach for the multi-response parametric optimisation of the convolution stresses. [ABSTRACT FROM AUTHOR]

Criteria for the evaluation of the effectiveness of Strategic Environmental Assessment (SEA) have evolved internationally from the requirement for mere procedural effectiveness, to include criteria such as substantial and incremental effectiveness. This paper provides an overview of the international evolution of effectiveness evaluation for SEA and its parallel progression in South Africa. Within this context, the effectiveness of the two SEA case studies conducted in support of national-scale renewable energy planning in South Africa was reviewed against internationally recognised effectiveness criteria to test their ability to influence decision making for renewable energy projects in the country. The evaluation was informed by the role of the first author as the project director in the case studies. The review found the SEAs to be partially effective, mainly through the introduction of new legislation, processes and systems at the national level that operationalise the outcomes of the SEA. A fundamental limitation emerged in determining whether incremental effectiveness had been achieved as it is too soon to evaluate the effectiveness of the recently promulgated legislation and instruments. The paper builds on previous work on effectiveness evaluations and provides the perspective of an administrative implementer. [ABSTRACT FROM AUTHOR]

To fill the gap in health research capacity-building efforts, we created the 'Virtual Library' (VL) – a web-based repository of context-relevant resources for health researchers in low- and middle-income countries (LMICs). This paper describes the participatory process used to systematically develop the VL, and describes how our interprofessional team – representing both an LMIC (Nepal) and a high-income country (HIC) (USA, US) – engaged in shared meaning-making. A team of researchers and clinicians representing a range of subdisciplines from Nepal and the US created a replicable search strategy and standardized Resource Screening Guide (RSG) to systematically assess resources to be included within the VL. Descriptive methods were used to summarize findings from the RSG and lessons learned from the collaborative process. Collectively, 14 team members reviewed 564 potential resources (mean = 40, SD = 22.7). Mean RSG score was 7.02/10 (SD = 2). More than 76% of resources met each of the four quality criteria (relevant; reputable, accessible; understandable). Within the published VL, 298 resources were included, organized by 15 topics and 45 sub-topics. Of these, 223 resources were evaluated by the RSG; 75 were identified by team member expertise. The collaborative process involved regular meetings, iterative document revisions, and peer review. Resource quality was better than expected, perhaps because best practices/principles related to health research are universally relevant, regardless of context. While the RSG was essential to systematize our search and ensure reproducibility, team member expertise was valuable. Pairing team members during peer-review led to bi-directional knowledge sharing and was particularly successful. This work reflects a highly collaborative global partnership and offers a model for future health research capacity-building efforts. We invite engagement with the Virtual Library <> as one supportive pillar of infrastructure to develop individual and institutional research capacity. [ABSTRACT FROM AUTHOR]

Previous literature reports that low male partner support is a barrier to women's adherence and retention in HIV care programs. This qualitative study explored the relationships between partners to understand what is meant by male partner support in adherence of HIV-positive women in four healthcare facilities in Southern Malawi. We conducted 8 semi-structured focus group discussions (FGDs) with 73 participants (40 men and 33 women) and 10 in-depth interviews (IDIs) between August 2018 to December 2019. Participants were HIV-positive patients, healthcare workers (HCWs), expert patients (EPs), and couples attending the clinic. All data were digitally recorded, transcribed verbatim, and analysed using a gender-responsive grounded theory approach. This study confirms previous literature, which suggests male partner support is expressed by providing access to transport to the clinic and accompaniment to appointments. However, we found that men can also control access to resources and decision-making. Support is more complex than previous literature reported and, in some cases, gender norms significantly limit women's capacity to engage in care independently of male support since women need male partner permission to access the resources to attend clinics. This paper suggests that restrictive male-partner gender norms limit women's power to engage in care. Most importantly, the gender analysis reveals that what previous literature describes as male partner support can sometimes hide male partner control in permitting access to resources to attend health facilities. For this reason, policies enhancing male support should consider the gender power relationship between partners to avoid reinforcing gender inequality. [ABSTRACT FROM AUTHOR]

In South Africa, community participation has been embraced through the development of progressive policies to address past inequities. However, limited information is available to understand community involvement in priority setting, planning and decision-making in the development and implementation of public services. This narrative review aims to provide evidence on forms, extents, contexts and dynamics of community participation in primary health care (PHC) and water governance in South Africa and draw cross-cutting lessons. This paper focuses on health and water governance structures, such as health committees, Catchment Management Agencies (CMA), Water User Associations (WUAs), Irrigation Boards (IBs) and Community Management Forums (CMFs). Articles were sourced from Medline (Ovid), EMBASE, Google Scholar, Web of Science, WHO Global Health Library, Global Health and Science Citation Index between 1994 and 2020 reporting on community participation in health and water governance in South Africa. Databases were searched using key terms to identify relevant research articles and grey literature. Twenty-one articles were included and analysed thematically. There is limited evidence on how health committees are functioning in all provinces in South Africa. Existing evidence shows that health committees are not functioning effectively due to lack of clarity on roles, autonomy, power, support, and capacity. There was slow progress in establishment of water governance structures, although these are autonomous and have mechanisms for democratic control, unlike health committees. Participation in CMAs/WUAs/IBs/CMFs is also not effective due to manipulation of spaces by elites, lack of capacity of previously disadvantaged individuals, inadequate incentives, and low commitment to the process by stakeholders. Power and authority in decision-making, resources and accountability are key for effective community participation of marginalized people. Practical guidance is urgently required on how mandated participatory governance structures can be sustained and linked to wider governance systems to improve service delivery. [ABSTRACT FROM AUTHOR]

The oil industry in Thailand primarily relies on truck transportation due to the versatility of trucks. Different truck sizes can easily access many customer locations better than any other transportation mode. However, although trucks have many advantages, the transportation cost per unit is very expensive compared to railway, air, waterway, and pipe transportation modes. Previous data indicated that shipping costs were approximately 703.995 USD/month/fleet and the transportation utilization was 83.145%. Therefore, efficiencies should be identified to improve business operations. This paper proposes an oil transportation plan with transshipment points by adopting Network Flow Models (NFM) to develop a Generalized Network Flow Model (GNFM). The developed GNFM was applied to solve three different problems and compared to the existing method. The objectives of the proposed model were to minimize total cost and maximize truck efficiency. Multi-Criteria Decision Analysis (MCDA) was considered to set the optimal decision criteria for managing the oil transportation network with the transshipment sites. The proposed model with the Cluster Model (CT) provided optimal results, with a total cost of 663.539 USD/month/fleet and a truck efficiency of 88.029%. [ABSTRACT FROM AUTHOR]

The study presents analytical data-based multi-criteria approach of critical success factors of infrastructure construction projects analyzed in the Ethiopian con- struction industry. This multi-criteria technique helps to improve the decision cap- abilities and ultimate performance of construction processes in various low-income countries of the East African region. The aim of this paper is to establish a logical relationship and interdependencies of success-related factors for enhancing decision making for various project teams and identify priorities while taking into account all known construction organizational constraints. A structured hierarchical matrix was developed based on a pre-identified success-related factors, and initially evaluated by experienced professionals as part of a content validation of the survey. Different professionals working in various construction organizations in Ethiopia were invited to participate in the questionnaire survey. All the required data analysis, including sen- sitivity performance, was conducted through Expert Choice© 11. Further, Kendall’s coefficient of concordance was conducted to examine and compare multiple expert responses. Based on the findings, the top success-related factors that affect decision making in construction projects are Adequate Goals/Objectives, Consultant’s Competency, Prior Experience of Consulting Firms, Consulting Firm’s Willingness and Cooperation, and Financial Standing of Contractor. The results are based on their global priority weights in the hierarchical model. The findings highlighted that there is disagreement between the major stakeholders involved in the construction process. The contribution of the study is introducing a bench-marking multi-criteria decision analysis technique to enhance decision making in the Ethiopian infrastructure sector. [ABSTRACT FROM AUTHOR]

The introduction of progesterone vaginal ring (PVR) in sub-Saharan Africa calls for insights on the product's role in promoting women's autonomy regarding their reproductive decision-making and behaviour. Such insights could inform the positioning of the method within family planning programmes in the region. In this paper, we explore husbands' experiences with PVR as perceived by their wives and as reported by husbands of a subset of women users in Kenya, Nigeria, and Senegal. We discuss how such experiences might influence women's rights and autonomy regarding their reproductive decisions and contraceptive behaviour. We use a mixed-methods approach drawing on data from quantitative interviews with 174 women and qualitative in-depth interviews with 10 husbands of a subset of the women in the three countries. The findings show that husbands appreciated PVR's attributes relating to user-control (women could insert and remove the method themselves), ease of use, and non-interference with sex and flow of breast milk. Wives' perceptions of their husbands' experiences regarding PVR's non-interference with sex were consistent with the husbands' own reports. In addition, health care providers played important roles in supporting sustainable use of the method through giving information, counselling, and assisting women who experienced ring slippage to manage those challenges. The findings suggest that self-managed health technologies such as PVR could expand women's choices and control over their reproductive decisions. The findings further suggest that sustainable use of such products could require linkages with appropriate health systems structures to address challenges with use if and when they arise. [ABSTRACT FROM AUTHOR]

Evaporation is important basic information for irrigation decision making in water resources management. Developing countries usually use a small pan to observe surface evaporation, but the relationship between evaporation in different small pans is not sufficiently clear. In this paper, we use an extreme learning machine (ELM) model to predict and convert E20 (diameter 0.20 m) and E601 (diameter 0.62 m) pan data for 38 meteorological stations in southern China. Firstly, we obtained the best combination of meteorological parameters for forecasting E20 and E601, respectively, and we also found that the accuracy of the model can be significantly improved by adding pan data. Secondly, we found that during the conversion between E20 and E601, the model performance when using E601 data to predict the E20 evaporation is better than that when using E20 data to predict the E601 evaporation. Finally, the geographical factors were analysed, and the model performance was found to be relatively poor in the coastal area and the North–South junction. [ABSTRACT FROM AUTHOR]

There is limited research in India to understand young people's decision-making processes about intimate relationships before marriage. This paper, adopting a life course perspective, explains relationship choices and diachronic trajectories of relationships from adolescence to young adulthood. Retrospective data were collected from 1240 never married 20–29-year-old men and women living in Pune using a relationships history calendar. All the relationships from 10 years of age onwards were plotted on the calendar, and information on predictor variables was collected through structured questionnaires. Data were analysed using descriptive statistics. Sequence analysis approach was used to identify different typologies. Overall, 76% of the participants reported having at least one relationship. More women compared to men (84% vs 70%) ever had a relationship. The median age of starting the first relationship was 17 years for women and 18 for men. Different relationship types were reported, such as "serious", casual, "friends with benefit", and "exploring". The level of emotional involvement, commitment, and physical intimacy significantly differed in different relationship types with significant gender differences. Four typologies of relationships were observed, labelled as (1) Commitment–No sex (N = 187); (2) Commitment–Sex-Some exploration (N = 189); (3) No commitment–Exploration (N = 281), and (4) No relationship (N = 583). Compared to men, women were more likely to follow the trajectory of "Commitment-No sex" (RR 2.13, CI 1.5–3.03). Family environment was significantly related to young people's relationship choices. The findings strongly suggest the need to adopt a developmental perspective towards intimate relationships to understand and address the vulnerabilities of young people across the life course. [ABSTRACT FROM AUTHOR]

The unmet need for contraception is documented as a significant determinant of unintended pregnancies and high number of induced abortions. The period immediately after an abortion is recognised as a unique opportunity to offer contraceptive services. This paper explores the association between place of abortion and women's post-abortion contraceptive behaviour. The reproductive calendar data from the National Family Health Survey (NFHS-4) (2015–16) was used for this study. Multinomial logistic regression models were used to understand factors associated with post-abortion method choices. Single decrement life-tables were built to examine rates of contraceptive discontinuation and proportional hazard models were employed to examine probability and correlates of method discontinuation. About 20% of women who underwent an abortion adopted a contraceptive method by the end of one month following an abortion. The decision to choose methods like sterilisation or intrauterine contraceptive devices (IUCDs) was associated with the place of abortion, past contraceptive behaviour, number and sex of surviving children at the time of abortion, mass media exposure, and time of the abortion. Compared to women who underwent an abortion at private health facilities, women who sought abortion at public health facilities were more likely to choose permanent methods or IUCDs. Furthermore, women who opted for an IUCD were less likely to discontinue the method compared to those using short-acting modern methods. The lack of post-abortion contraceptive choices for women is evident in the low uptake of post-abortion contraceptives in private facilities and the predominant promotion of permanent methods and IUCDs in public health facilities. [ABSTRACT FROM AUTHOR]

Adolescence is a stage when significant changes in moral development take place. Sometimes, a discrepancy between adolescents' thoughts, emotions and actions may result in socially undesirable outcomes. The question is not whether emotions produce moral behaviour, but how awareness of emotions may influence moral action. In this paper, the interaction among cognition, emotions, and action is considered from two theoretical perspectives: cognitive-developmental and social domain theory. We argue that with increased awareness of cognition and emotion, actions may be influenced, and propose meta-moral cognition process as an active mediator of the cognition and emotions involved in making moral decisions. The meta-moral cognition strategies are also provided for classroom practices with the intention to support adolescents' meta-moral cognitive development. [ABSTRACT FROM AUTHOR]

Research on South Africa's post-apartheid foreign policy decision-making has stagnated. For more than a quarter century analysts have generally drawn on secondary material from other scholars, newspaper reporting, and the speeches of government officials to elucidate how South Africa crafts and carries out its foreign policy. The accessibility of previously classified archival documents and the availability of policy makers for research interviews holds the potential to advance scholarship on South African foreign policy along two fronts. First, these primary sources offer insight into foreign policy decision-making processes. And second, they encourage a critical re-evaluation of many of the traditional understandings and tropes that have dominated the study of South African foreign policy. This paper outlines the state of foreign policy studies in South Africa and then demonstrates the power of primary research to alter key ideas about the conduct and content of South African foreign policy through three case studies. [ABSTRACT FROM AUTHOR]

We introduce the Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery. The issue consists of four discussion papers, grouped into two pairs, and sixteen regular research papers that cover many important lines of research on data-driven decision making. We hope that the many provocative and original ideas presented herein will inspire further work and development in precision medicine and personalization. [ABSTRACT FROM AUTHOR]

Ethical decision-making (EDM) is an important element in the engineering profession. This paper explores the use of an ethical decision-making model (EDMM) as a tool for analysing and assessing the ethical reasoning skills of student engineers and their ability to apply the rationale of EDM process for ethical vignettes. The tool, distilled from several existing EDMMs, was tested against interview data collected from 12 graduating students at one private university in Malaysia. The students were asked to examine two ethical vignettes of varying scenarios and difficulty levels. This was followed by a semi-structured, face-to-face interview (corresponding to the first four steps of EDMM) to gauge their ethical reasoning behind their decision for each vignette. Their verbal responses were analysed and categorised into a four-tier rubric developed in accordance with the four steps of EDMM. Findings revealed that generally, students were able to identify the underlying issue (step 1) and the affected parties and the consequences (step 2), but they did not give much thought to potential course of action (step 3) or to testing available options (step 4). Levels of development of ethical reasoning provided by students varied between the first and second vignette. Findings suggest that the EDMM holds promise as a way to better understand and diagnose students' readiness to face ethical challenges in their profession. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to systematically examine the research literature on the decision of expert interviewers within the theoretical framework of the Hierarchy of Expert Performance (HEP). After providing an overview of the HEP framework, existing research in the investigative interviewing at each of the eight levels of the HEP framework is reviewed. The results identify areas of strength in reliability between experts' observations (Level 2) and of weakness in reliability between experts' conclusions (Level 6). Biases in investigative interview experts' decision making is also revealed at biasability between expert conclusions (Level 8). Moreover, no published data are available in reliability within experts at the level of observations (Level 1) or conclusions (Level 5), biasability within or between expert observations (Level 3 and 4) and biasability within expert conclusions (Level 7). The findings highlight areas where future research and practical endeavour are much needed for the investigative interview. [ABSTRACT FROM AUTHOR]

Background: Official development assistance (ODA) is one of the most important means for donor countries to foster diplomatic relations with low- and middle-income countries and contribute to the welfare of the international community. Objective: This study estimated the sectoral allocation of gross disbursements of ODA of the 29 Development Assistance Committee (DAC) member countries of the Organisation for Economic Co-operation and Development (OECD) for the duration of 2011 to 2018, by aid type (bilateral, multilateral, and both aids). Methods: Data from the OECD iLibrary were used. The sector definition was based on the OECD sector classification. For core funding to multilateral agencies that do not specialize in each aid sector, we estimated ODA and its flows based on the OECD methodology for calculating imputed multilateral ODA. Results: For all 29 countries, during the period of 2014–2018 where data were available for all the countries, the sector with the highest average annual ODA contribution was health at 20.34 billion USD (13.21%), followed by humanitarian aid at 18.04 billion (11.72%). Humanitarian aid has increased in the sectoral share rankings in both bilateral and multilateral aid, and the sectoral share for refugees in donor countries has increased in bilateral aid. While the 29 countries show relatively similar trends for sectoral shares, some countries and sectors display unique trends. For instance, infrastructure and energy sectors in bilateral aid of Japan are particularly high accounts for 48.48% of the total bilateral ODA of the country in 2018. Conclusions: This paper evaluated ODA trends by major donors of DAC countries in the pre-COVID-19 pandemic periods. We hope that our estimates will contribute to the review of the strategic decision-making and the effective implementation of future ODA policy discussions in the DAC countries while ensuring transparency. [ABSTRACT FROM AUTHOR]

Decision-making based on expert's opinion by data envelopment analysis (DEA) models requires crisp number. However, the assumption of expert might not always be accurate. This paper introduces fuzzy DEA credibility constrained and relative closeness (RC) index to cope with uncertainty data. The proposed approach transforms the traditional DEA models to be fuzzy events by using credibility measure. Furthermore, RC index was used to increase the discrimination power of traditional DEA. Two numerical examples with different credibility level are presented for demonstrate the proposed fuzzy DEA credibility constrained and RC index. The findings indicate that the credibility level impact on the RC index on both numerical examples. The increasing level of credibility value would drop the value of RC index. [ABSTRACT FROM AUTHOR]

Bipolar soft sets, which are a generalization of soft sets, are a very useful mathematical model for performing complex data analysis correctly since each parameter also takes into account the NOT parameter. However, in bipolar soft sets, we can express membership degrees as 0 or 1, and we cannot process data about non-membership degrees. In all proposed mathematical models, the task of expressing a (non-)membership degree in the range (0, 1) focuses on the decision-maker. In this paper, these values in (0, 1) were tried to be determined in an objective way independent of the decision-maker. For this purpose, the concepts of (NOT) bipolar relational membership degree and (NOT) bipolar relational non-membership degree have been proposed. Moreover, using these concepts, a decision-making algorithm focusing on selecting the best object is proposed. Finally, a comparison is given for the proposed algorithm by emphasizing some important points. [ABSTRACT FROM AUTHOR]

To describe and synthesize client-centered care and service in home care for older persons. The study was an integrative review using the guidelines for literature reviews by the Joanna Briggs Institute. The research process followed the Whittemore and Knafl framework and PRISMA toolkit in the selection of eligible articles. The CINAHL, Medline, Scopus, Web of Science and Social Sciences abstracts were searched for articles published between January 2007 and May 2020 according to previously designed search strategies. In total, 24 articles were deemed relevant for an analysis using a thematic analysis. The analysis resulted in four themes with sub-themes which revealed that client-centered care and service in home care consist of: 1) Clients' involvement in their own care; self-care, decision-making, satisfactory daily life, 2) Family members' and care partners' participation in care; family members' and care partners' commitment to care, family members' and care partners' competence in care, 3) Communication and co-operation; communication models, empowerment, partnership, and 4) Evidence-based service competence; delivery and organization of services, implementation of services, versatile clinical skills, quality outcomes and personnel wellbeing. According to the results, achieving client-centered care and service in home care requires the realization of all of the above aspects. The practice of nursing must better identify all dimensions of client-centered care and take these into account in the delivery of home care services. Client-centeredness is a fundamental value and the basis of nursing and care in home care provided for older persons This paper: deepens and structures the concept of client-centered care in the context of home care. assists professionals to understand the factors behind client-centered care within the home care environment. provides deeper understanding of the roles of the older person, family members, and the service system in developing client-centered services in home care for older persons. [ABSTRACT FROM AUTHOR]

The Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services(IPBES) strengthens the science-policy interface by producing scientific assessments on biodiversity and ecosystem services to inform policy. IPBES fosters knowledge exchange across disciplines, between researchers and other knowledge holders, practitioners, societal actors and decision makers working at different geographic scales. A number of avenues for participation of stakeholders across the four functions if IPBES exist. Stakeholders come from diverse backgrounds, including Indigenous Peoples and local communities, businesses, and non-governmental organization. They represent multiple sources of information, data, knowledge, and perspectives on biodiversity. Stakeholder engagement in IPBES seeks to 1. communicate, disseminate, and implement the findings of IPBES products; 2. Develop guidelines for biodiversity conservation within member countries; and 3. create linkages between global policy and local actors – all key to the implementation of global agreements on biodiversity. This paper reflects on the role of stakeholders in the first work programme of IPBES (2014–2018). It provides an overview of IPBES processes and products relevant to stakeholders, examines the motivation of stakeholders to engage with IPBES, and explores reflections by the authors (all active participants on the platform) for improved stakeholder engagement and contributions to future work of the platform. [ABSTRACT FROM AUTHOR]

The Ready Mixed Concrete Dispatching Problem (RMCDP) is a generalised version of the Vehicle Routing Problem (VRP). In RMCDP however, given the particular properties of concrete, a set of additional constraints must be considered. The perishability of fresh material, for example, has to be contemplated, together with other technical issues, such as a truck can only serve a single customer and two or more customers cannot be supplied using a truck in a single trip. RMCDP can be modelled as a mixed integer problem (with soft time window) and it can be optimally solved for small and medium sized variants of the problem. However, the objective cost and similar constraints are usually calculated using spatial distances (Euclidian distance) and similar approximate travel times are used. In this paper, we propose a more realistic method for calculating travel times based on real travel distances obtained from Google Maps API. The accurate travel time information is used as input for the RMCDP, to provide results that are more convincing. This paper compares RMCDP with two different objective functions; (i) spatial distance and (ii) real distance. This research will clarify the influence that the quality of this information has on the decision-making process and whether it is relevant to regard the accurate travel time to achieve a more realistic result. [ABSTRACT FROM AUTHOR]

Demands for out-of-hours primary care (OOH-PC) services are increasing. Many citizens call because of non-urgent health problems. Nevertheless, the patients' motives for requesting medical help outside office hours remains an understudied area. This study aimed to examine motives for calling OOH-PC services in various age groups. Cross-sectional paper based questionnaire study conducted during two weeks in 2015. The OOH-PC services in two Danish regions. Randomly selected patients calling the two healthcare services and accepting to participate in the study received a questionnaire on patient characteristics, health problems, and 26 pre-defined motives based on the Andersen Behavioural Model. Multivariate regression analyses were conducted for various age groups to calculate the probability of each motive to be a significant factor for the decision to call. A total of 1,871 patients were included in the study; half were parents of children aged 0-12 years. Young adults (18 to 39 years) differed significantly from other age groups as they more often stated perceived barriers and benefits such as "Own GP no time available soon enough" and "Need for quick help because of work". Young adults more often perceive barriers and benefits, which may suggest af difference in expectations regarding the purpose of out-of-hours services and accessibility. Further research is needed to address this issue and further explore the potential gap between the citizens' expectations to the OOH-PC services and the prevailing health policies. The out-of-hours primary healthcare services are increasingly contacted for non-urgent problems, but little is known about the citizens' motives for calling. Age is associated with differences in the perceived importance of various motives for calling out-of-hours care. Young adults are more often than other age groups motivated to call due to logistical issues, such as their job. [ABSTRACT FROM AUTHOR]

Electric vehicles arouse interest since they not only contribute economies of countries in the context of dependency to oil but also support to more livable and sustainable urban areas. The location selection of electric vehicle charging stations is one of the most vital topics in order to enhance the use of electric vehicles. In this sense, the aim of this paper is to propose an approach that integrates Geographic Information System (GIS) techniques and Multi-Criteria Decision Making (MCDM) methods for finding suitable locations of the electric vehicle charging stations. In this regard, the Analytic Hierarchy Process (AHP) and the Fuzzy Analytic Hierarchy Process (FAHP) methods are used to calculate the weights of criteria. While the two different weights for each criterion are obtained by means of AHP in terms of environmental impact and accessibility, another weight for each criterion is obtained as a means of applying the FAHP. The intersection of three different suitability indexes is determined so as to achieve a holistic, credible result. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to rank the alternative locations. The results show that the proposed approach offers a notable solution to be selected suitable charging station locations. Moreover, policymakers and administrators could benefit from these results in order to make efficient decisions for forward planning and strategies. [ABSTRACT FROM AUTHOR]

Universal Health Coverage (UHC) forces governments to consider not only how services will be provided – but which services – and to whom, when, where, how and at what cost. This paper considers the implications for achieving UHC through the lens of abortion-related care for adolescents. Our comparative study design includes three countries purposively selected to represent varying levels of restriction on access to abortion: Ethiopia (abortion is legal and services implemented); Zambia (legal, complex services with numerous barriers to implementations and provision of information); Malawi (legally highly restricted). Our policy and legal analyses are supplemented by comparative vignettes based on interviews (n = 330) in 2018/2019 with adolescents aged 10–19 who have sought abortion-related care in each country. We focus on an under-considered but critical legal framing for adolescents – the age of consent. We compare legal and political commitments to advancing adolescent sexual and reproductive health and rights, including abortion-related care. Ethiopia appears to approach UHC for safe abortion care, and the legal provision for under 18-year-olds appears to be critical. In Malawi, the most restrictive legal environment for abortion, little progress appears to have been made towards UHC for adolescents. In Zambia, despite longstanding legal provision for safe abortion on a wide range of grounds, the limited services combined with low levels of knowledge of the law mean that the combined rights and technical agendas of UHC have not yet been realised. Our comparative analyses showing how policies and laws are framed have critical implications for equity and justice. [ABSTRACT FROM AUTHOR]

This paper aims to develop a multiple deferred state sampling plan for a time-truncated life test if the lifetime of the item follows exponentiated half logistic distribution. The optimal parameters of the proposed plan, such as the number of successive lots required for making the decision whether to accept or reject the current lot, sample size, the rejection and acceptance numbers are obtained using two points approach. The implementation of the proposed plan is illustrated with examples. Tables are constructed for various combinations of consumer's and producer's risks. Comparison is also made with existing sampling plans under exponentiated half logistic distribution. [ABSTRACT FROM AUTHOR]

District-level initiatives to improve maternal, neonatal and child health (MNCH) generally do not take governance as their primary lens on health system strengthening. This paper is a case study of a district and sub-district governance mechanism, the Monitoring and Response Unit (MRU), which aimed to improve MNCH outcomes in two districts of South Africa. The MRU was introduced as a decision-making and accountability structure, and constituted of a "triangle" of managers, clinicians and information officers. An independent evaluation of the MRU initiative was conducted, three years after establishment, involving interviews with 89 district actors. Interviewees reported extensive changes in the scope, quality and organization of MNCH services, attributing these to the introduction of the MRU and enhanced support from district clinicians. We describe both the formal and informal aspects of the MRU as a governance mechanism, and then consider the pathways through which the MRU plausibly acted as a catalyst for change, using the institutional constructs of credible commitment, coordination and cooperation. In particular, the MRU promoted the formation of non-hierarchical collaborative networks; improved coordination between community, PHC and hospital services; and shaped collective sense-making in positive ways. We conclude that innovations in governance could add significant value to the district health system strengthening for improved MNCH. However, this requires a shift in focus from strengthening the front-line of service delivery, to change at the meso-level of sub-district and district decision-making; and from purely technical, data-driven to more holistic approaches that engage collective mindsets, widen participation in decision-making and nurture political leadership skills. [ABSTRACT FROM AUTHOR]

Why did India launch and later withdraw from the exercise in coercive diplomacy – Operation Parakram – against Pakistan in response to the attack on India's Parliament by terrorists based in that country? This paper marshals factors operating at the systemic, state and individual/small-group levels of analysis to show that, despite the paucity of evidence on decisionmaking of the kind required for an effective foreign policy analysis (FPA) approach, a reasonably clear picture can be developed. It combines deductive logic relating to state behavior in a nuclearized environment with the limited empirical evidence available to show that India never intended to go to war and that the operation was essentially a bluff that, having eventually reached a dead end, was called off. [ABSTRACT FROM AUTHOR]

Background: Data-based decision-making in education often focuses on the use of summative assessment data in order to bring about improvements in student achievement. However, many other sources of evidence are available across a wide range of indicators. There is potential for school leaders, teachers and students to use these diverse sources more fully to support their work on a range of school improvement goals. Purpose and sources of evidence: To explore data-based decision-making for school improvement, this theoretical paper discusses recent research and literature from different areas of data use in education. These areas include the use of formative assessment data, educational research study findings and 'big data'. In particular, the discussion focuses on how school leaders and teachers can use different sources of data to improve the quality of education. Main argument: Based on the literature reviewed, an iterative model of data use for school improvement is described, consisting of defining goals for data use, collecting different types of data or evidence (e.g. formal data, informal data, research evidence and 'big data'), sense-making, taking improvement actions and evaluation. Drawing on the literature, research insights are discussed for each of these components, as well as identification of the research gaps that still exist. It is noted that the process of data use does not happen in isolation: data use is influenced by system, organisation and team/individual level factors. Conclusions: When it comes to using data to improve the quality of teaching and learning, it is evident that some of the most important enablers and barriers include data literacy and leadership. However, what is less well understood is how we can promote the enablers and remove the barriers to unlock, more fully, the potential of data use. Only then can data use lead to sustainable school improvement. [ABSTRACT FROM AUTHOR]