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2025
Kante, Mahamadou; Målqvist, Mats
Effectiveness of SMS-based interventions in enhancing antenatal care in developing countries: a systematic review Journal Article
In: BMJ Open, vol. 15, iss. 2, pp. e089671, 2025, ISSN: 2044-6055.
Abstract | Links | BibTeX | Tags: developing countries, Healthcare
@article{nokey,
title = {Effectiveness of SMS-based interventions in enhancing antenatal care in developing countries: a systematic review},
author = {Mahamadou Kante and Mats Målqvist},
editor = {BMJ},
doi = {https://doi.org/10.1136/bmjopen-2024-089671},
issn = { 2044-6055},
year = {2025},
date = {2025-02-25},
urldate = {2025-02-25},
journal = {BMJ Open},
volume = {15},
issue = {2},
pages = {e089671},
abstract = {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.},
keywords = {developing countries, Healthcare},
pubstate = {published},
tppubtype = {article}
}
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.
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.
2024
AYA, Yaya A; DICKO, Mohamed; SIDIBE, Alamako; KANTE, Mahamadou
Educational Management in Mali: KalanGest as a tool for decolonizing administrative practices Journal Article
In: African Journal for Development Informatics, vol. 0, iss. 1, pp. 1-15, 2024, ISSN: 1987-1236.
Abstract | Links | BibTeX | Tags: developing countries, Software, Software design
@article{nokey,
title = {Educational Management in Mali: KalanGest as a tool for decolonizing administrative practices},
author = {Yaya A AYA and Mohamed DICKO and Alamako SIDIBE and Mahamadou KANTE},
editor = {Bamako Institute for Research and Development Studies Press},
url = {https://uu.diva-portal.org/smash/record.jsf?pid=diva2%3A1936371&dswid=-591},
issn = {1987-1236},
year = {2024},
date = {2024-12-28},
urldate = {2024-12-28},
journal = {African Journal for Development Informatics},
volume = {0},
issue = {1},
pages = {1-15},
abstract = {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.},
keywords = {developing countries, Software, Software design},
pubstate = {published},
tppubtype = {article}
}
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.
Kante, Mahamadou
Decolonising behavioral information security: understanding Social Norms’ impact on online privacy attitudes in Mali, Tanzania, and Sweden Presentation
26.06.2024.
BibTeX | Tags:
@misc{nokey,
title = {Decolonising behavioral information security: understanding Social Norms’ impact on online privacy attitudes in Mali, Tanzania, and Sweden},
author = {Mahamadou Kante},
editor = {12th International Conference on Mande Studies - Mande Studies – MANSA },
year = {2024},
date = {2024-06-26},
urldate = {2024-06-26},
keywords = {},
pubstate = {published},
tppubtype = {presentation}
}
2023
Kante, Mahamadou; Michel, Babri
Perception between users on relevant determinants of Self-disclosure on Social Network Sites Presentation
14.06.2023.
Links | BibTeX | Tags: Behavioural Information Security, partial least squares structural equation modelling
@misc{nokey,
title = {Perception between users on relevant determinants of Self-disclosure on Social Network Sites},
author = {Mahamadou Kante and Babri Michel},
editor = {6th Bi-Annual International Conference – Kibabii Kenya –Kibabii University},
url = {https://conference.kibu.ac.ke/},
year = {2023},
date = {2023-06-14},
keywords = {Behavioural Information Security, partial least squares structural equation modelling},
pubstate = {published},
tppubtype = {presentation}
}
Kante, Mahamadou; Michel, Babri
In: Computers in Human Behavior Reports, vol. 10, pp. 100291, 2023, ISSN: 24519588.
Abstract | Links | BibTeX | Tags: Behavioural Information Security, BIS, disclosure, partial least squares structural equation modelling, PLS, PLSPredict, privacy, SEM
@article{Kante2023,
title = {Use of partial least squares structural equation modelling (PLS-SEM) in privacy and disclosure research on social network sites: A systematic review},
author = {Mahamadou Kante and Babri Michel},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2451958823000246},
doi = {10.1016/j.chbr.2023.100291},
issn = {24519588},
year = {2023},
date = {2023-05-01},
urldate = {2023-05-01},
journal = {Computers in Human Behavior Reports},
volume = {10},
pages = {100291},
publisher = {Elsevier},
abstract = {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.},
keywords = {Behavioural Information Security, BIS, disclosure, partial least squares structural equation modelling, PLS, PLSPredict, privacy, SEM},
pubstate = {published},
tppubtype = {article}
}
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.
2022
Kante, Mahamadou; Adepo, Joel Christian; Babri, Michel
Towards a Model for Self-Disclosure on Social Network Sites Book Section
In: Building Resilient Healthcare Systems With ICTs, pp. 229–254, IGI-Global, 2022, ISBN: 0000000255448.
Abstract | Links | BibTeX | Tags: Behavioural Information Security, BIS, developing countries, disclosure, partial least squares structural equation modelling, PLS, PLSPredict, SNSs, Social media
@incollection{Kante2022,
title = {Towards a Model for Self-Disclosure on Social Network Sites},
author = {Mahamadou Kante and Joel Christian Adepo and Michel Babri},
url = {http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8915-1.ch010},
doi = {10.4018/978-1-7998-8915-1.ch010},
isbn = {0000000255448},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {Building Resilient Healthcare Systems With ICTs},
pages = {229–254},
publisher = {IGI-Global},
chapter = {10},
abstract = {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.},
keywords = {Behavioural Information Security, BIS, developing countries, disclosure, partial least squares structural equation modelling, PLS, PLSPredict, SNSs, Social media},
pubstate = {published},
tppubtype = {incollection}
}
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.
Kante, Mahamadou
A mapping of the factors related to self-disclosure on social network sites Journal Article
In: International Journal of Big Data Management, vol. 2, no. 1, pp. 60–69, 2022, ISSN: 2631-8679.
Links | BibTeX | Tags: Behavioural Information Security, BIS, disclosure, partial least squares structural equation modelling, privacy, SNSs, Social media
@article{Kante2022a,
title = {A mapping of the factors related to self-disclosure on social network sites},
author = {Mahamadou Kante},
doi = {10.1504/IJBDM.2020.10034496},
issn = {2631-8679},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {International Journal of Big Data Management},
volume = {2},
number = {1},
pages = {60–69},
publisher = {Inderscience Publishers},
keywords = {Behavioural Information Security, BIS, disclosure, partial least squares structural equation modelling, privacy, SNSs, Social media},
pubstate = {published},
tppubtype = {article}
}
2021
Kante, Mahamadou; Kante, Macire
A Stakeholder's Analysis of the Effect of Mobile Money in Developing Countries Book Section
In: Perspectives on ICT4D and Socio-Economic Growth Opportunities in Developing Countries, pp. 224–251, 2021, ISBN: 9781799829850.
Abstract | Links | BibTeX | Tags: Behavioural Information Security, developing countries, Healthcare, LMICs, m-health, M-pesa, mobile money, Orange Money
@incollection{Kante2021,
title = {A Stakeholder's Analysis of the Effect of Mobile Money in Developing Countries},
author = {Mahamadou Kante and Macire Kante},
url = {http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2983-6.ch009},
doi = {10.4018/978-1-7998-2983-6.ch009},
isbn = {9781799829850},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {Perspectives on ICT4D and Socio-Economic Growth Opportunities in Developing Countries},
pages = {224–251},
abstract = {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) stakeholdersin 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.},
keywords = {Behavioural Information Security, developing countries, Healthcare, LMICs, m-health, M-pesa, mobile money, Orange Money},
pubstate = {published},
tppubtype = {incollection}
}
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) stakeholdersin 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.
2020
Kante, Mahamadou; Kouame, Euloge François; Kante, Macire
Towards the B-TAMBiT: A Back-Translation with an Adjudicator with Mono and Bilingual Tests Journal Article
In: arXiv preprint arXiv:2004.05509, 2020.
BibTeX | Tags:
@article{kante2020towards,
title = {Towards the B-TAMBiT: A Back-Translation with an Adjudicator with Mono and Bilingual Tests},
author = {Mahamadou Kante and Euloge François Kouame and Macire Kante},
year = {2020},
date = {2020-01-01},
journal = {arXiv preprint arXiv:2004.05509},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2018
Kante, Mahamadou
Software Security Awareness: A forgotten tactical and strategic weapon Journal Article
In: 2018.
BibTeX | Tags: Awareness, Security, Software, Software design
@article{kante2018software,
title = {Software Security Awareness: A forgotten tactical and strategic weapon},
author = {Mahamadou Kante},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
keywords = {Awareness, Security, Software, Software design},
pubstate = {published},
tppubtype = {article}
}
Kante, Mahamadou; Murwa, Violet; Kibor, Esther
Existence of God: A Philosophical Aspect Unpublished
2018.
Abstract | Links | BibTeX | Tags: Philosophy, Religion
@unpublished{kanteexistence,
title = {Existence of God: A Philosophical Aspect},
author = {Mahamadou Kante and Violet Murwa and Esther Kibor},
url = {https://www.researchgate.net/profile/Mahamadou-Kante/publication/325347052_Existence_of_God_A_Philosophical_Aspect/links/5b071154aca2725783de7a91/Existence-of-God-A-Philosophical-Aspect.pdf},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
abstract = {Once the ancients had developed the capacity to think philosophically, they posed for themselves a number of important questions. The existence of God is a subject of debate in the philosophy of religion. In philosophical terms, the question of the existence of God involves the disciplines of epistemology and ontology and the theory of value. Different positions exists depending on multiple aspects on the existence of God. We looked at some of the arguments for and against the question about the existence of God in this paper},
keywords = {Philosophy, Religion},
pubstate = {published},
tppubtype = {unpublished}
}
Once the ancients had developed the capacity to think philosophically, they posed for themselves a number of important questions. The existence of God is a subject of debate in the philosophy of religion. In philosophical terms, the question of the existence of God involves the disciplines of epistemology and ontology and the theory of value. Different positions exists depending on multiple aspects on the existence of God. We looked at some of the arguments for and against the question about the existence of God in this paper
2017
Kante, Mahamadou
A review of big data security and privacy Journal Article
In: Mara International Journal of Scientific & Research Publications, no. October, pp. 49–54, 2017.
BibTeX | Tags: Big Data, InfoSec, Security
@article{Kante2017,
title = {A review of big data security and privacy},
author = {Mahamadou Kante},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
journal = {Mara International Journal of Scientific & Research Publications},
number = {October},
pages = {49–54},
keywords = {Big Data, InfoSec, Security},
pubstate = {published},
tppubtype = {article}
}