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Objectives: Pregnant women in low- and middle-income countries (LMICs), including Mali, often face challenges such as limited access to comprehensive health information and services. Mobile health (mHealth) interventions, particularly SMS-based interventions, have shown promise in addressing maternal health challenges. This review aims to provide an overview of existing SMS-based antenatal care (ANC) applications and assess their effectiveness in improving maternal and child health outcomes.

Design: A systematic literature review was conducted based on updated PRISMA 2020 guidelines.Data sources PubMed, Scopus, Web of Science, Cochrane Library, Association for Information Systems eLibrary, Direct Science and Google Scholar were searched through 25 March 2024.

Eligibility criteria: Studies that focused on SMS-based interventions designed to improve ANC information and attendance, published in English or French, conducted in LMICs and published between 2014 and 2024 were included. Exclusion criteria eliminated studies that did not report primary outcomes or did not directly involve SMS-based interventions for ANC.

Data extraction and synthesis: Relevant data were systematically extracted, including study characteristics, intervention details, and outcome measures. The risk of bias was assessed using the Cochrane Risk of Bias tool for randomised trials (RoB 2), the Risk Of Bias In Non-randomised Studies-of Interventions (ROBINS-I) and the Checklist for Reporting the Development and Evaluation of Complex Interventions in Healthcare (CReDECI), depending on the study design. A subgroup analysis was performed to explore variations in outcomes by region and study design.

Results: The review identified a range of SMS-based interventions (n=12) that differed in target audience, message frequency (weekly, pregnancy stage-oriented) and content (reminders (91.7% of cases, 11/12), educational (75%) and danger signs (16.7%)). Regional analysis highlighted significant research activity in East Africa but with mixed significance levels. The study design analysis revealed that randomised controlled trials yielded the most significant results, with five of eight studies showing full significance, whereas quasi-experimental studies demonstrated consistent but less frequent effectiveness. Implementation tools varied from SMS gateways to custom applications and third-party platforms, with some interventions combining these approaches. SMS interventions positively impacted ANC attendance, maternal health knowledge and behaviours, with effectiveness varying based on the intervention type, content, frequency and implementation approach.

Conclusion: SMS-based interventions have the potential to enhance ANC in LMICs by providing tailored health information and promoting healthy behaviours. Further research should focus on refining or replicating these interventions and exploring their long-term effects on maternal and child health outcomes, particularly in underrepresented regions.

As part of efforts to decolonise and Africanise education in Mali, our project explores the implementation of 'KalanGest', an innovative technological solution for the management of basic schools. This solution aims not only to improve school administration, but also to integrate and promote local knowledge and practices in the education system. Using a qualitative approach and UML modeling with PHP language, 'KalanGest' was designed to reduce administrative tasks and strengthen the Africanization of education. Tests at the Debou Gneri basic school showed significant management, while respecting and promoting Malian standards. Prospects for 'KalanGest' include the integration of online courses and payment systems, aiming to sustainably improve access to quality education while contributing to the decolonization of knowledge in West Africa.

Dans le cadre des efforts pour décoloniser et africaniser l'éducation au Mali, notre projet explore la mise en œuvre de 'KalanGest', une solution technologique novatrice pour la gestion des écoles fondamentales. Cette solution vise non seulement à améliorer l'administration des écoles, mais aussi à intégrer et valoriser les connaissances et pratiques locales dans le système éducatif. Utilisant une approche qualitative et la modélisation UML avec le langage PHP, 'KalanGest' a été conçu pour réduire les tâches administratives et renforcer l'africanisation de l'éducation. Les tests à l'école fondamentale Debou Gneri ont montré une amélioration significative dans la gestion, tout en respectant et en promouvant les normes maliennes. Les perspectives pour 'KalanGest' incluent l'intégration de cours en ligne et de systèmes de paiement, visant à améliorer durablement l'accès à une éducation de qualité tout en contribuant à la décolonisation du savoir en Afrique de l'Ouest.

Structural equation modelling (SEM) is a statistical technique used in the field of Information Systems amongst others. The technique has been paid attention thanks to its flexibility and predictive power. However, there is a paucity of guidelines in the application of the technique in the field of Behavioural Information Security. Hence, this paper aims to provide a comprehensive guide of using PLS-SEM in disclosure and privacy studies on Social Network Sites (SNSs). Data has been gathered using papers (n=21) published between 2006 and 2022 from scholarly databases such as Google Scholar, Association for Information Systems eLibrary (AISeL), IEEE Xplore and Science Direct. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA 2020) was used to analyse and synthesize the status of the field. Our systematic review covers data characteristics, reasons for using PLS-SEM, the evaluation of measurement models, the evaluation of the structural model and reporting best practices. The review proposed guidelines for the use of PLS-SEM in the discipline of Behavioural Information Security with a focus on disclosure and privacy on SNSs studies and other fields as well.

Privacy is a critical concern in the big data era. Users share their personal data to informal communities such as social media. Despite the evident benefits of social network sites and users concerns about privacy, people disclose personal information. Albeit users know the conceivable risks of sharing personal information, more users are doing so. It is important to identify the factors affecting self-disclosure on social network sites. In this paper, the audience is informed about these factors. Using a systematic approach, models/theories used in self-disclosure researches on social network sites were identified. It was observed that the convenience of building and maintaining relationships, social ties and norms, and expected outcomes are positively affecting while privacy concerns are negatively affecting. It was also found that the level of trust, perceived control and perceived similarity can affect online behaviour towards self-disclosure. The paper closes by proposing future line of inquiries.

One of the current discussions is the resilience of health systems in developing countries. Online platforms users including health system users (patients, doctors) are worried about their privacy being violated. While the users of social media enjoy the opportunity to learn, connect, and share, their privacy on those platforms is at risk. A possible cause of this is the information privacy paradox, which describes a disconnect between users' stated concerns and actual behaviour. In the pilot phase of this study, the authors have used the partial least squares structural equation modelling technique for the analysis of the relationships postulated to explain self-disclosure in social network sites. The survey instrument's content validity and adapted model's constructs validity and reliability were confirmed, and the preliminary findings revealed that the derived model explains 32.9% of the user's self-disclosure intention on social network sites. 

Understanding the stakeholders of mobile money services and systems in developing countries remain critical issues that need to be addressed. Using the Stakeholder Theory, along with the Diffusion of Innovation Theory and Unified Theory of Acceptance and Use of Technology, this study gathered data from 110 respondents to contribute to the understanding of the mobile money (Orange Money) stakeholders in Mali. The results characterized the stakeholders of the mobile money system and revealed that each stakeholder has its unique drivers and challenges towards the adoption of the mobile money system. These findings suggest that specific attention should be paid to each stakeholder by the mobile money operator in developing countries.