Author
Listed:
- Elizabeth Muthoki Kivuva
- Dr. Kezia Njoroge
- Dr. Wanja Tenambergen
Abstract
Purpose: The purpose of this study was to establish the influence of individual determinants on self-referrals among pregnant women seeking delivery services in CGTRH Materials and Methods: The study adopted a descriptive cross-sectional research. The study target population was all pregnant women seeking delivery services in coast general teaching and referral hospital at the maternity unit. Therefore, 6,420 formed the study population as it is from this sampling frame that a sample of mothers was obtained. A sample of 376 pregnant women was obtained. Systematic random sampling was used to select the pregnant women to be included in the sample. Data was collected using a structured questionnaire. The data collected were cleaned and coded, quantified and analyzed quantitatively. Quantitative data were analyzed using IBM SPSS where descriptive and inferential statistics were used to capture the data in order to understand the pattern and nature of relationships. Univariate analysis was done using descriptive statistics (frequencies and percentages,) in order to summarize the data, and the results were presented using charts, graph and tables. Results: The findings indicated a significant relationship between education status and self-referrals whereby, the more educated the pregnant women were the more likely they were to make self-referrals at the referral facility. In particular, pregnant women with tertiary level of education were 4.2 times more likely to make self-referrals compared to those with no education. Further analysis using multivariable logistic regression at a significance level of 0.05 established that there was a significant difference between pregnant women with no education and those with tertiary education, with the latter being 4.4 times more likely to make self-referrals compared to the former. Unique contribution to theory, practice and policy: The study recommends that hospitals ought to enhance their CRM policies so as to deliver quality services that satisfy Information technology infrastructure can revolutionize healthcare with the right policy choices. IT can foster new human connectivity thresholds and is a powerful tool of global convergence through the cross-border provision of services and can as well provide new opportunities for the production of knowledge and skills.
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