Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Nov 30;5(11):e171.
doi: 10.2196/mhealth.7827.

Using Android and Open Data Kit Technology in Data Management for Research in Resource-Limited Settings in the Niger Delta Region of Nigeria: Cross-Sectional Household Survey

Affiliations

Using Android and Open Data Kit Technology in Data Management for Research in Resource-Limited Settings in the Niger Delta Region of Nigeria: Cross-Sectional Household Survey

Omosivie Maduka et al. JMIR Mhealth Uhealth. .

Abstract

Background: Data collection in Sub-Saharan Africa has traditionally been paper-based. However, the popularization of Android mobile devices and data capture software has brought paperless data management within reach. We used Open Data Kit (ODK) technology on Android mobile devices during a household survey in the Niger Delta region of Nigeria.

Objective: The aim of this study was to describe the pros and cons of deploying ODK for data management.

Methods: A descriptive cross-sectional household survey was carried out by 6 data collectors between April and May 2016. Data were obtained from 1706 persons in 601 households across 6 communities in 3 states in the Niger Delta. The use of Android mobile devices and ODK technology involved form building, testing, collection, aggregation, and download for data analysis. The median duration for data collection per household and per individual was 25.7 and 9.3 min, respectively.

Results: Data entries per device ranged from 33 (33/1706, 1.93%) to 482 (482/1706, 28.25%) individuals between 9 (9/601, 1.5%) and 122 (122/601, 20.3%) households. The most entries (470) were made by data collector 5. Only 2 respondents had data entry errors (2/1706, 0.12%). However, 73 (73/601, 12.1%) households had inaccurate date and time entries for when data collection started and ended. The cost of deploying ODK was estimated at US $206.7 in comparison with the estimated cost of US $466.7 for paper-based data management.

Conclusions: We found the use of mobile data capture technology to be efficient and cost-effective. As Internet services improve in Africa, we advocate their use as effective tools for health information management.

Keywords: Africa; mobile phones; technology.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Stages in deployment of Open Data Kit for data collection.
Figure 2
Figure 2
Geomap of all the households across the 6 communities in 3 states of the Niger Delta region of Nigeria.

References

    1. King C, Hall J, Banda M, Beard J, Bird J, Kazembe P, Fottrell E. Electronic data capture in a rural African setting: evaluating experiences with different systems in Malawi. Glob Health Action. 2014;7:25878. http://europepmc.org/abstract/MED/25363364 - PMC - PubMed
    1. Van den Broeck J, Argeseanu CS, Eeckels R, Herbst K. Data cleaning: detecting, diagnosing, and editing data abnormalities. PLoS Medicine. 2005 Oct;2(10):e267. doi: 10.1371/journal.pmed.0020267. http://dx.plos.org/10.1371/journal.pmed.0020267 - DOI - DOI - PMC - PubMed
    1. Tom-Aba D, Olaleye A, Olayinka AT, Nguku P, Waziri N, Adewuyi P, Adeoye O, Oladele S, Adeseye A, Oguntimehin O, Shuaib F. Innovative technological approach to Ebola virus disease outbreak response in Nigeria using the open data kit and form hub technology. PLoS One. 2015;10(6):e0131000. doi: 10.1371/journal.pone.0131000. http://dx.plos.org/10.1371/journal.pone.0131000 - DOI - DOI - PMC - PubMed
    1. Idowu B, Adagunodo R, Adedoyin R. Information technology infusion model for health sector in a developing country: Nigeria as a case. Technol Health Care. 2006;14(2):69–77. - PubMed
    1. Tomlinson M, Solomon W, Singh Y, Doherty T, Chopra M, Ijumba P, Tsai AC, Jackson D. The use of mobile phones as a data collection tool: a report from a household survey in South Africa. BMC Med Inform Decis Mak. 2009;9:51. doi: 10.1186/1472-6947-9-51. http://www.biomedcentral.com/1472-6947/9/51 - DOI - PMC - PubMed