International Research Journal of Public and Environmental Health
Vol.3 (9),pp. 201-208, September 2016
Available online at https://www.journalissues.org/IRJPEH/
Article 16/ID/JPRH038/ 08 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
Organizational factors affecting data quality of routine health management information system quality: Case of Uasin Gishu County Referral Hospital, Kenya
Samuel Kiprono Cheburet1* 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
Globally, dynamics on health system are underpinned by a well-functioning health management information system. The absence of institutional frameworks, financing, leadership and dissemination of information affect organization processes. Strong government documentation to guide the operation is a key foundation in the delivery of health services. The study was carried out to establish the organizational factors influencing data quality of routine health management information system. A cross-sectional design was employed in this study. Quantitative measures were used in collecting data from health workers on the availability of institutional document, leadership, financing and data sharing while qualitative measures were employed to generate more in-depth information of the subject matter. The results reveal that thirty two (39.5%) of the respondents said there is availability of standard operating procedures while none of the respondents indicated lack of data quality protocol. A strong association was found between support supervision and the frequency of support supervision with chi square X2 = (1)=37.913, n=81, p<.05. Finally, institutional documentation was rarely available especially standard operating procedures, data quality protocol, strategic plan, operation plans and policy to enhance data quality through alignment of organization manageability, efficiency, effectiveness and agility of health institutions.
Key words: Organizational factors, data quality, health management information system