FirstSteps: a mHealth tool for children registration and monitoring
Abstract
The right of every child to survive, live healthy, have a voice and be educated begins with being uniquely identified immediately at birth. This paper details the development of a mHealth tool, coined FirstSteps, which incorporates an extensive registration platform for children under age five into a functional mobile child healthcare application. Considering diversity and cultural practices, FirstSteps adopts features (such as schedule setup for vaccination, doctor's appointment, recording child growth at various developmental stages) which can be deployed in sub-Saharan Africa and complements them with child registration records, one of the vital need of the region. It is expected that this will aid in achieving significant birth/child registration thereby providing quality data useful for reduction of high mortality rate in sub-Saharan Africa.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Mobile app based mHealth interventions are mainly in the design stage (stage 2).
“mobile app based mHealth interventions [47,72,74 -76] are mainly in the design stage (stage 2).”
From Current evidence on the use of mHealth approaches in Sub-Saharan Africa: A scoping review (2023) · cites this paper as [72]
This mHealth platform has the potential to improve how stroke rehabilitation is delivered in countries where there is a deficit of experienced health workers.
“This mHealth platform has a potential to improve how stroke rehabilitation is delivered in countries with there is a deficit of experienced health”
From Current evidence on the use of mHealth approaches in Sub-Saharan Africa: A scoping review (2023) · cites this paper as [72]
Cites
Labrique, A. B., Vasudevan, L., Kochi, E., Fabricant, R., & Mehl, G. (2013) · Global Health: Science and Practice · doi:10.9745/ghsp-d-13-00031 · Cited by 601 · see citing works
Lee, S. H., Nurmatov, U. B., Nwaru, B. I., Mukherjee, M., Grant, L., & Pagliari, C. (2016) · Journal of Global Health · doi:10.7189/jogh.06.010401 · Cited by 456 · cited 1× · see citing works
“Consequently, mHealth interventions in LMIC settings has also contributed positively to other SDG indicators: increased vaccination rates, encouraged facility-service utilization, appointment compliance, and antenatal care attendance, improved treatment adherence, facilitated quality data gathering (including birth da…”
Sondaal, S. F. V., Browne, J. L., Amoakoh-Coleman, M., Borgstein, A., Miltenburg, A. S., Verwijs, M., & Klipstein-Grobusch, K. (2016) · PLOS ONE · doi:10.1371/journal.pone.0154664 · Cited by 441 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Current evidence on the use of mHealth approaches in Sub-Saharan Africa: A scoping review
Aboye, G. T., Vande Walle, M., Simegn, G. L., & Aerts, J.-M. (2023) · Health Policy and Technology · doi:10.1016/j.hlpt.2023.100806 · Cited by 55 · see citing works
Aboye, G. T., Vande Walle, M., Simegn, G. L., & Aerts, J.-M. (2023) · Digital Health · doi:10.1177/20552076231180972 · Cited by 31 · see citing works
- Authors
- Eyitayo, J. S., Badejo, J. A., & Atayero, A. A.
- Affiliations
- Covenant University (NG)
- Venue
- 2017 International Conference on Computational Science and Computational Intelligence (CSCI)
- Publisher
- IEEE
- Published
- 2017-12
- Pages
- 1782-1786
- OpenAlex
- W2903346379
- Cited by
- 5
- References
- 3
- Citations by year
- 2024: 1 · 2023: 3 · 2019: 1
- FWCI
- 1.87
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Computational Science and Computational Intelligence (CSCI) (publishedVersion)
- Covenant University Repository (Covenant University) (acceptedVersion)
- Funders
- Covenant University
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Global Maternal and Child Health
- Keywords
- mobile health, child health monitoring, mobile health apps, children under five, sub-Saharan Africa, child mortality reduction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
