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dc.contributor.authorOtieno, Moses Ochieng
dc.contributor.authorMuiruri, Lillian
dc.contributor.authorKawila, Caroline
dc.date.accessioned2021-11-04T14:59:57Z
dc.date.available2021-11-04T14:59:57Z
dc.date.issued2020
dc.identifier.uriwww.ajpojournals.org
dc.identifier.urihttp://repository.kemu.ac.ke/handle/123456789/1178
dc.description.abstractPurpose: This was a study based on Health Info rmation Systems pillar. T he st udy sought to explore factors related to quality data which influence health information utilization in making decision among healthcare managers in Mombasa County . Methodology: This was a Descriptive Survey Study design whe re desired data was obtained from selected respondents by semi - structured questionnaires. The research targeted a total of 303 healthcare managers in Mombasa County which comprised of 21 County Health Management Team (CHMT) members, 56 Sub - county Health Ma nagement Team (SCHMT) members from the four sub - counties, 43 facility In - Charges from the 43 public health facilities and 183 Heads of Departments (HODs). A sample size of 91 healthcare managers was used in the study . This was 30% of the target population and were randomly selected. A response rate of 98.9% was achieved . Descriptive and Inferential analysis was done. Data was analyzed with SPSS version 23. Findings: R esults revealed that quality data factors (β 4 = 0.298; t = 4.079; p < 0.01) w ere significant predictors of health information utilization in making decision among healthcare managers in Mombasa Coun ty . These results imply that improvement in these variables (data accuracy , completeness and timelin ess) will enhance health information utilization. How these variable s are accomplished influence the level of health information utilization in making decision . Unique contribution to theory, practice and policy: When the study recommendations are impleme nted, there will be assured q uality data which will assist in coming up with the design of disease prevention, interventions and to monitor and evaluate the progress made on the measures put in place. By doing so, the study will have validated the theory o f Evidence Based Healt h Information System by Carbone, (2009), on which the study was anchored. Quality data is, therefore, not only crucial in securing health status description, service coverage, and performance, but also inspires confidence in the HIS a mong healthcare manag e rs. The study recommends that the MOH introduce s HMIS as a subject in the pre - service curriculum of all healthcare cadres in order to improve HIS . Mombasa County Government should ensure t hat quality data is generated (with regards to accuracy, completenes s and timeliness) at all levels of the health systems for purposes of accountability and more importantly its utility to improve healthcare programs, to survive and prosper in the current dynamic healthcare environment .en_US
dc.language.isoenen_US
dc.relation.ispartofseriesVol 5;(1)
dc.subjectD ata, Decision Making, H ealth Information System, Health In formation Utilization, Healthcare Managersen_US
dc.titleFACTORS RELATED TO QUALITY DATA WHICH DETERMINE HE ALTH INFORMATION UTILIZATION IN MAKING DECISION AMONG HEALTHCARE MANAGERS IN MOMBASA COUNTY, K ENYAen_US
dc.typeArticleen_US


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