Routine Health Information Systems Performance in Management of Diabetes and Hypertension in Selected Health Centers in Nairobi, Kenya
DOI:
https://doi.org/10.53819/81018102t3138Abstract
Globally, there has been a strong emphasis on enhancing decision-making through the improvement of routine health information systems (RHIS). Numerous studies have explored methods to enhance the quality of RHIS data to achieve this goal. Similarly, at the regional level, several countries have prioritized enhancing their RHIS performance. However, the Ministry of Health's 2019 policy brief has identified challenges related to health organizations' capacity to effectively analyze and utilize DHIS2 information. In light of these challenges, this study sought to investigate the factors influencing RHIS performance in managing diabetes and hypertension within selected health centers in Nairobi. The study's objectives were to examine the impact of technical determinants, organizational determinants, and behavioral determinants on RHIS performance. To guide the study, Delone and McLean's information system success framework will be employed as a theoretical framework. A cross-sectional research design was utilized, and data was collected from a randomly selected sample of 123 healthcare professionals across seven health centers in Nairobi. Data was gathered through the administration of semi-structured questionnaires using the drop-and-pick method. Collected data was scrutinized using SPSS, employing descriptive analysis, correlation analysis, Chi-Square tests, and logistic regression to understand the nature and significance of the effects of technical, organizational, and behavioral determinants on RHIS performance. The findings revealed that technical determinants, such as user-friendliness and the availability of adequate reporting tools, significantly influenced RHIS performance (p=0.020, OR=0.316). Behavioral determinants, including staff confidence and data quality assurance skills, had a strong and significant positive relationship with RHIS performance (p=0.050, OR=0.377). However, organizational determinants, such as funding and staffing, showed no significant relationship with RHIS performance (p=0.526). Thus, the study recommends prioritizing the acquisition of user-friendly RHIS systems and ensuring the availability of adequate reporting tools to improve technical aspects. Additionally, targeted training programs should be implemented to enhance staff confidence, proficiency, and data quality assurance skills. Finally, strengthening the implementation of national policies, such as the Kenya National e-Health Policy and the Kenya Health Information System Policy, will ensure alignment with RHIS goals and improve performance across health centers.
Keywords: Routine, Health Information Systems, Performance, Management of Diabetes, and Hypertension in Selected Health Centers in Nairobi, Kenya
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