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Although high-quality comparative data from international assessments are now more widely available, to what extent is that data being used to trigger, inform, and direct educational change in non-Organization for Economic Co-Operation and Development (OECD) countries? The purpose of this paper is to develop a theoretical framework to guide a case analysis of Trinidad and Tobago's system response to international assessment data.

This is a single-nation explanatory case study using data from policy documents and elite interviews. Findings are generated through inductive thematic analysis.

The four emerging themes were: first, weaknesses in the national evaluation system; second, policy-making practices not attuned to data; third, lack of collaboration and stakeholder involvement; and fourth, challenges in accessing and using data. Findings suggested that data rarely acted alone to trigger system change. Critical to initiating and sustaining effective data use for system reform were policy-making contexts and mental maps of system leaders, which in this context acted as barriers. Respondents believed that greater strategic leadership from politicians and technocrats could ensure data-informed systemic change.

The study focuses upon data use and data-driven decision making for whole system reform within a single country context. However, it advances theory that might be applied to other non-OECD cases.

The findings contribute to the refinement of a conceptual model explaining data-driven system reform applicable to non-OECD contexts. The role of system leaders when using international assessment data is clarified.

The purpose of this paper is to provide a situational overview of the facility-based maternal and perinatal morbidity and mortality audits (MPMMAs) in SSA, their current efficacy at reducing mortality and morbidity rates related to childbirth.

This is a scoping literature review based on the synthesis of secondary literature.

Not all countries in SSA conduct MPMMAs. Countries where MPMMAs are conducted have not instituted standard practice, MPMMAs are not done on a national scale, and there is no clear best practice for MPMMAs. In addition, auditing process of pediatrics and maternal deaths is flawed by human and organizational barriers. Thus, the aggregated data collected from MPMMAs are not adequate enough to identify and correct systemic flaws in SSA childbirth-related health care.

There are a few published literature on the topic in sub-Saharan Africa.

This review exposes serious gaps in literature and practice. It provides a platform upon which practitioners and policy makers must begin to discuss ways of embedding mortality audits in SSA in their health systems as well as health strategies.

The findings of this paper can inform policy in sub-Saharan Africa that could lead toward better outcomes in health and well-being.

The paper is original.

Understanding electricity use behaviour is considered one of the strategies to achieve sustained electricity management in buildings. The lack of understanding of occupants’ electricity use behaviour has been found to cause various environmental and ecological issues. This paper aims to investigate the factors influencing occupants’ inefficient use of electricity in buildings becomes a vital area of study to achieve maximum benefit in the area of electricity management.

The study adopted a quantitative survey and questionnaire as instruments for gathering relevant information from end-users in the study area, and the data collected were analysed using descriptive and inferential statistics.

The major factors influencing the electricity use behaviour of students in the study area were attributed to their level of awareness, personal beliefs and attitude towards electricity, managerial influences and economic factors.

The threats to the environment and ecology necessitate immediate attention to the elements that impact students’ electricity use habits. This research explains the key elements that might impact students’ electricity consumption habits in buildings. Understanding these key characteristics will provide policymakers with vital knowledge of its prevalence.