Data Quality in Health Management Information Systems at Kenyatta National Hospital in Nairobi City County, Kenya: Influence of Technological Factors

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dc.contributor.authorKenyenga, Benjamin Oreni
dc.contributor.authorYitambe, Andre
dc.contributor.authorOchieng, George Otieno
dc.contributor.authorOtiti, Mary Iwaret
dc.date.accessioned2023-07-13T09:40:15Z
dc.date.available2023-07-13T09:40:15Z
dc.date.issued2021
dc.descriptionarticleen_US
dc.description.abstractBackground: Efficient and effective Health Management Information System (HMIS) is critical to both the healthcare system and to people’s health, by providing the system and data that is central for target setting, policy planning and implementation. There is tremendous increase in available and accessible information; however, growth in the quantity of information has not necessarily been accompanied by improvements in quality of data. There has also been evolution and potential of information technologies in enhancing the relevance of the quality health information management. Thus, various technological aspects such as system design, knowledge, training and skills that support HMIS within these environments are key in ensuring data quality. Kenyatta National Hospital operates several stand alone information systems, making it a challenge to provide quality data that can be utilized in the management process. The study therefore, set out to examine the technological factors influencing data quality in HMIS at Kenyatta National Hospital in Nairobi City County, Kenya. Materials and Methods: We used a cross sectional descriptive design, applying both quantitative and qualitative techniques. Census was done to collect data from all the 195 employees of the department of health information using questionnaires and Key Informant Interviews after obtaining their informed consent. We excluded those who were absent and who declined consent. Pretesting was conducted at Moi Teaching and Referral Hospital (MTRH) where the validity and reliability of the research instruments were verified. All necessary ethical approvals and permits were obtained prior to commencing the study. Analysis was done using SPPS version 25.0. Mean, frequencies and percentages were used for descriptive statistics while Chi-square and linear regression were applied for inferential statistics. Results: The response rate was 98.97% (n=193). 90.2% (n=174) respondents stated that Network issues were a concern, 64.2% (n=124) stated HMIS in the hospital was user friendly, while 62.7% (n=121) stated that the hospital was keeping up with technological and innovative trends applicable to the health sector. The association between the dependent (data quality) and independent (technological factors) variables was statistically significant(X2=63.341, P-Value= 0.001). Regression analysis generated a model with predictors of data quality being age, gender, highest level of education, subsection, and technological factors, Conclusion: Technological factors are key determinants of data quality in HMIS at Kenyatta National Hospital in Nairobi City Countyen_US
dc.identifier.citationOreni, K. B., Andre, Y., Otieno, O. G., & Iwaret, O. M. Data Quality in Health Management Information Systems at Kenyatta National Hospital in Nairobi City County, Kenya: Influence of Technological Factors.en_US
dc.identifier.issn2320–1959
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/26201
dc.language.isoenen_US
dc.publisheriOSR-JNHSen_US
dc.subjectHMISen_US
dc.subjectDataen_US
dc.subjectqualityen_US
dc.subjectTechnological Factorsen_US
dc.subjectKNHen_US
dc.titleData Quality in Health Management Information Systems at Kenyatta National Hospital in Nairobi City County, Kenya: Influence of Technological Factorsen_US
dc.typeArticleen_US
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