Child Electronic Growth Monitoring System: An innovative and sustainable approach for establishing the Kaduna Infant Development (KID) Study in Nigeria

• Tipo: Artigo em Revista Científica Internacional
• Data: 2020

Autores

Kana, MA (Autor) Outra; Ahmed, J (Autor) Outra; Ashiru, AY (Autor) Outra; Jibrin, S (Autor) Outra; Sunday, AD (Autor) Outra; Shehu, K (Autor) Outra; Safiyan, H (Autor) Outra; Kantiyok, C (Autor) Outra; Yusuf, HE (Autor) Outra; Ibrahim, JM (Autor) Outra; Musa, S (Autor) Outra; Baduku, TS (Autor) Outra; Tabari, AM (Autor) Outra; Barros H (Autor) FMUP; London, SJ (Autor) Outra

Revista

Título: Paediatric and Perinatal Epidemiology

ISSN: 0269-5022

Editora: Wiley-Blackwell

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 3 Citações

Outras Informações

ID Authenticus: P-00S-M1C

DOI: 10.1111/ppe.12641

Abstract (EN): Background Developing countries bear the burden of childhood stunting but lack resources for cohort studies to develop preventive strategies. To enable future prospective studies, we designed and tested the Child Electronic Growth Monitoring System (CEGROMS) using a readily available electronic data capture platform, the Research Electronic Data Capture (REDCap). Objectives To demonstrate the feasibility of using CEGROMS for data collection for a pilot study for the Kaduna Infant Development (KID) Birth Cohort Study in Nigeria. Methods CEGROMS consists of the data capture form for growth monitoring, a central cloud server, electronic tablets, and desktop computer. We implemented the pilot study in 2017-2019 at the Barau Dikko Teaching Hospital, Kaduna, Nigeria. Odds ratios (OR) and 95% confidence intervals (CI) were calculated for completeness of baseline data (relative to individuals with incomplete data) and completion of follow-up at different time points (relative to individuals with no follow-up visit) by the participant characteristics. Complete data were defined as date of birth, sex, and birthweight recorded at recruitment. Results Among 3152 infant records in CEGROMS, 2789 (88.5%) had complete data. Of these, 1905 (68.3%) had at least one follow-up visit. The main determinants of data completeness were health facility delivery (OR 19.17, 95% CI 13.65,26.92) and tertiary education (OR 3.54, 95% CI 2.69,4.67). Follow-up was greater for women with tertiary education (OR 1.33, 95% CI 1.06, 1.51 for at least one visit). Maternal education is associated with completeness and follow-up (following adjustments for parity and employment). Conclusions The CEGROMS electronic data collection system enables complete and consistent data collection. The data will enable design of strategies to improve follow-up in the future implementation of the birth cohort study.

Idioma: Inglês

Tipo (Avaliação Docente): Científica