Child Electronic Growth Monitoring System: An innovative and sustainable approach for establishing the Kaduna Infant Development (KID) Study in Nigeria
| Autor: | Shuaibu Saidu Musa, Kamaludeen Shehu, Abdullahi Y. Ashiru, Christiana Kantiyok, Abdulkadir Musa Tabari, Hauwa’u Evelyn Yusuf, Tokan S. Baduku, Musa Abubakar Kana, Salamatu Jibrin, Jimoh M. Ibrahim, Halimah Safiyan, Jenifer Ahmed, Henrique Barros, Ashel Dache Sunday, Stephanie J. London |
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| Přispěvatelé: | Instituto de Saúde Pública da Universidade do Porto |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Male
Electronic data capture Epidemiology Nigeria Developing country Pilot Projects Birth Setting growth registry 03 medical and health sciences Child Development 0302 clinical medicine Health facility Environmental health Humans Medicine Registries 030212 general & internal medicine Prospective cohort study Growth Disorders Special Issue: Leveraging Technology 030219 obstetrics & reproductive medicine Data collection business.industry childhood stunting Data Collection Patient Selection Infant Newborn Infant birth cohort Odds ratio Cloud Computing Computers Handheld Pediatrics Perinatology and Child Health Feasibility Studies Female Electronic data business Maternal Age Program Evaluation Cohort study |
| Zdroj: | Paediatric and Perinatal Epidemiology |
| Popis: | 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. MK and SJL are supported by the Intramural Research Program of the National Institutes of Health (NIH), National Institute of Environmental Health Sciences, ZO1 ES-49019. Epidemiological Resources and Investigation Consultancy Limited and Perinatal Epidemiological Research Unit, Kaduna (Nigeria), provided infrastructure and human resource for data collection and management. |
| Databáze: | OpenAIRE |
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