International Research Journal of Public and Environmental Health
Vol.3 (8),pp. 191-200, August 2016
Available online at https://www.journalissues.org/IRJPEH/
Article 16/ID/JPRH037/ 10 pages
Author(s) agree that this article remain permanently open access under the terms of the Creative Commons Attribution License 4.0 International License.
Original Research Article
Technological factors affecting data quality of routine health management information system: Case of Uasin Gishu county referral hospital, Kenya
Samuel Kiprono Cheburet*1 and George W. Odhiambo-Otieno2
1Ministry of Health, Nairobi, Kenya, P. O. Box 30016-00202 Nairobi Kenya
2Kenya Methodist University, Department of Health System Management, P.O. Box 45240 – 00100, Nairobi, Kenya.
*Corresponding Author E-mail: samuelcheburet(at)gmail.com
Effective and efficient management of today’s health system globally depends on well-functioning Health Management Information System. Health organizations are struggling to adapt to the ever changing environment to provide high-quality data to the right user at the right place and time through health system strengthening. The deficiency of strong information system with weak human infrastructure capabilities to support such systems is a catastrophe in-waiting in addressing health outcomes and resource management. The study was carried out to find out technological factors affecting data quality of routine health management information system. A cross-sectional study design was employed in this study. The results show that majority 68% of the respondents are nurses and a strong association was found between responsibility and accomplishing a task. The key informant interview confirmed a strong relationship between technical factors such as lack of right skills, numbers and appropriate technology to accomplish daily tasks. The significance of the findings could boost stakeholders engagement to strengthen physical and human infrastructure by having good knowledge and information technology expertise to successfully utilize and tolerate any change.
Key words: Technological factors, data, quality, routine, health management information system (HMIS).