Title: QUALITY OF INFORMATION ON PREVENTIVE MATERNAL
HEALTHCARE INDICATORS IN STRENGTHENING UTILIZATION OF
INFORMATION IN MIGORI COUNTY, KENYA
Authors: Wilfred Obwocha, George Ayodo and Shehu Shagari Awandu
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Wilfred Obwocha, George Ayodo and Shehu Shagari Awandu
Department of Public, School of health Sciences Jaramogi Oginga Odinga University of Science and
Technology, P.O BOX 210-40601 Bondo
MLA 8 Obwocha, Wilfred, et al. "QUALITY OF INFORMATION ON PREVENTIVE MATERNAL HEALTHCARE INDICATORS IN STRENGTHENING UTILIZATION OF INFORMATION IN MIGORI COUNTY, KENYA." Int. j. of Social Science and Economic Research, vol. 7, no. 3, Mar. 2022, pp. 828-838, doi.org/10.46609/IJSSER.2022.v07i03.020. Accessed Mar. 2022.
APA 6 Obwocha, W., Ayodo, G., & Awandu, S. (2022, March). QUALITY OF INFORMATION ON PREVENTIVE MATERNAL HEALTHCARE INDICATORS IN STRENGTHENING UTILIZATION OF INFORMATION IN MIGORI COUNTY, KENYA. Int. j. of Social Science and Economic Research, 7(3), 828-838. Retrieved from doi.org/10.46609/IJSSER.2022.v07i03.020
Chicago Obwocha, Wilfred, George Ayodo, and Shehu Shagari Awandu. "QUALITY OF INFORMATION ON PREVENTIVE MATERNAL HEALTHCARE INDICATORS IN STRENGTHENING UTILIZATION OF INFORMATION IN MIGORI COUNTY, KENYA." Int. j. of Social Science and Economic Research 7, no. 3 (March 2022), 828-838. Accessed March, 2022. doi.org/10.46609/IJSSER.2022.v07i03.020.
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ABSTRACT: Assessing quality of health information on preventive maternal health indicators in the providing
quality healthcare services is important Four facilities, leading in maternal mortality were
selected for this study in Migori county; County referral, St Joseph, Rongo Sub County and
Isebania county hospitals. The study utilized retrospective and prospective study designs
involving six basic health indicators; deliveries, antenatal visit1, antenatal visit4, Iron folic acid,
interrupted presumptive therapy and long last insecticide treated nets. The hospital leading in
maternal mortality ratio (MMR) was St joseph Mission hospital, more than 600 for 3 years from
2015.TheMatinal mortality ratio(MMR) in 2017(732). The Lowest was in Rongo hospital
ranging between 0 and 340.Data were analyzed using statistical package for social scientists
(SPSS). Results were presented in percentages using tables and charts. Inferential statistical
analysis was done including correlation and T-test to determine quality. Checklists and open ended questionnaires were used to collect data from routine health information system (RHIS),
hospital registers and key informants. Convenient sampling method was applied to in data
collection from key informants. The average correlation per facility was 0.598 and per indicator
0.64. The SD ±1 coverage was 39% and 71% respectively. Facilities data within significant level
of 0.05, ranged between 17% and 50%. Years were considered in correlation analysis, results
within the limits were 0.393 and 0.669. In the Radar graph, there were inadequacies in use of
electronic systems (97%), knowledge (67%), healthcare work force (38%), use of information
(25%) among others. Electronic systems were not available for collection of primary data to
improve quality of data. Quality health information was to inform decisions in implementing
annual and strategic plans to influence reduction of maternal morbidity and mortality to ensure quality services based on patient/client centeredness. The study recommends that computer tools
should be installed for use in data management.
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