http://repository.tuc.ac.ke:8080/xmlui/handle/123456789/25 2026-04-21T13:34:46Z http://repository.tuc.ac.ke:8080/xmlui/handle/123456789/609 HEALTH INFORMATION MANAGEMENT SYSTEM DATA UTILIZATION IN STRATEGIC MANAGEMENT DECISION MAKING IN HOSPITALS: SYSTEMIC REVIEW ONUNGA, JEREMIAH,PAUL,SHARONODONGO,ANYANGO A health information system is a structured effort to systematically collect, store, and share data essential to the effectiveness of a health system, encompassing various health-related functionalities. Gathering, organizing, and analyzing data is crucial to identify the health needs of a population, providing hospital management with insights to allocate resources effectively across the health workforce, essential medications, governance, and service provision. However, although hospitals typically rely on their staff to handle data, these key administrative responsibilities often lack support for using data to make informed decisions, leading to poor service delivery and unnecessary patient referrals. This desktop review explored how hospital management employs the Health Information Management System for strategic decision-making and identified challenges and barriers to leveraging this data. The review sourced materials from three databases, two journal websites, and Google Scholar, using search terms like “Health Management Information System,” “Strategic management,” “Decision-making,” “health data,” and “barriers to data use.” The analysis followed the Preferred Reporting Items for Meta-analysis and Systematic Review, resulting in 35 articles identified, with seven selected for inclusion after evaluation. Findings revealed that hospital management teams seldom use Health Management Information for decision-making, and health workers similarly underutilize this data for critical choices. Technical and organizational factors significantly hinder the use of Health Management Information for strategic decisions aimed at enhancing service delivery. To overcome these obstacles, the review suggests regular supportive supervision, training, capacity building, mentoring on basic health information skills, and improved feedback through collaboration among policymakers and stakeholders. Hospital administrators should promote a culture that values routine health information for evidence-based decisions across all areas by boosting resources, providing tools, computers, skilled staff, and automation, while offering regular refresher training to keep health personnel adept at using the system and emerging technologies. Management should prioritize the value of information and foster leadership to encourage positive attitudes toward its use. This review provides a valuable resource for informing the government about the initiative’s current status and hospital managers’ data management capabilities for relevant programs, while offering researchers ample material for deeper exploration. 2025-01-20T00:00:00Z http://repository.tuc.ac.ke:8080/xmlui/handle/123456789/608 DIGITAL TRANSFORMATION IN PUBLIC ADMINISTRATION AND DATA-DRIVEN DECISION-MAKING: A REVIEW OF TURKANA COUNTY GOVERNMENT ONUNGA, JERAMIAH,PAULODONGO Digital transformation is increasingly becoming a focal point for organizations and governments worldwide, including Kenya. In Kenya, the 2010 Constitution introduced devolution, decentralizing governance, enabling county-level implementation of government programs, and extending governance to the grassroots. Among the functions devolved to counties is Early Childhood Development and Education (Pre-primary education), aimed at enhancing efficiency, transparency, and accountability in governance. Turkana County, inhabited primarily by the Turkana people with a history of nomadic pastoralism, views Pre-primary education as crucial for initiating academic life. Embracing digital transformation in Pre-primary education implementation represents a significant shift. The study focused on Turkana County Government's strategies for digital transformation in Pre-primary education and identified key objectives: Assessing digital inclusion in public administration in Turkana County; recommending practical implementation of two systems: Turkana Early Childhood Development Education Management Information System and Continuous Database Updating system; and establishing sustainability measures for data-driven decision-making. The study employed a descriptive research design involving observation and desktop review of county online platforms and libraries. Information gathered affirmed the status of digital transformation in Pre-primary education and guided recommendations. Turkana County Government has implemented two digital systems: Turkana Early Childhood Development and Education Management Information System (a website) and Continuous Database Updating System (Data entry and updating system). The website hosts programs and data related to pre-primary education management, including teacher and learner information, infrastructure development, feeding programs, policy updates, and reports on supervision and evaluation of teachers. Recommendations for successful digital transformation included investing in community engagement for program sustainability, strengthening administrative structures, and enhancing digital technology in Pre-primary education. These measures aim to ensure efficient and effective management of Pre-primary education programs. In conclusion, the Turkana County Government's adoption of the two digital systems marks a significant step towards modernizing Pre-primary education management. By following the study's recommendations, Turkana County can achieve enhanced governance and educational outcomes through digital transformation, thereby serving as a model for similar initiatives across Kenya's counties. 2025-01-07T00:00:00Z http://repository.tuc.ac.ke:8080/xmlui/handle/123456789/590 GIANT NEUTRON NUCLEUS AND PROPERTIES OF NEUTRON STARS. Peter, Tanui; Kenneth, Sirma K.; Namwetako, Jophine S. Considering a neutron star as a giant neutron nucleus composed of neutrons only, and using the binding energy, B(A, Z) expression, calculations are done for the number of neutrons A, in the giant nucleus along with the mass M and radius R of the neutron star. Two sets of calculations have been attempted. In one case the neutron star is treated as the giant nucleus, and in the calculations terms such as Coulomb energy are neglected in the expression for B. This gives A ≃ 5x1055, M = 0.042M0, R = 4.3km. In the second set of calculations, the neutron star is assumed to be in a superfluid state, where pairs of neutrons, like Cooper pairs, define the superfluid state. Pairing energy due to neutron pairs will play a definite role in determining the value of B. In this in the limiting case when B → 0, we get A ≃ 8.28x1056, M ≃ 0.7M0, R ≃ 14Km. These values compare favorably with the corresponding values known and predicted by scientists. This in turn supports the hypothesis that a neutron star may exist in a superfluid state even at very high temperatures ≃ 106 K. It is quite possible that some other particles, hitherto unknown, and forces may exist inside the neutron star, and if they are taken into account in the value of B, values of A, M, and R could be improved and the values may be closer to the values predicted so far. 2023-01-01T00:00:00Z http://repository.tuc.ac.ke:8080/xmlui/handle/123456789/584 APPLICATION OF IoT-BASED TERRESTRIAL BIODIVERSITY DATA FOR SUSTAINABLE LIVELIHOODS AMONG RURAL COMMUNITIES IN TURKANA COUNTY Jeremiah Osida Onunga; Anselemo Ikoha Peters; Peter Edome Akwee This study aimed to explore the application of IoT-based terrestrial biodiversity data for sustainable livelihoods in Turkana County, Kenya. The study used theoretical research findings to connect IoT theory and practice with biodiversity data for sustainable livelihoods. The mixed method was used, with a sample of 384 households in Turkana County. Data was collected through questionnaires, focus group discussions, and key informant interviews. The study found that pastoralists who were aware of terrestrial biodiversity and pastoral advice provided by IoTs used the information to influence their way of life. The findings emphasized the need for initiatives allowing rural populations to utilize IoT technologies for processing and sharing terrestrial biodiversity data. The study's knowledge contribution took the form of an enhanced Sustainable Livelihoods (SLF), where varied responses and systematic analysis made the IoT application relevant for understanding the relationship between terrestrial biodiversity data and sustainable livelihoods. The findings can be used to provide policy recommendations and suggestions for Kenya's future terrestrial biodiversity data plans, policies, and strategies 2023-01-01T00:00:00Z