KeMU Digital Health Repository

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Welcome to African Digital Health Library community Kenya node. The African Digital Health Library (ADHL), Kenya node, makes available health-related content ranging from theses, dissertations,from the School of Medicine, Kenya Methodist University. ADHL currently operates in 5 Sub Saharan African Countries and is supported by the medical librarians. It is a collaborative effort among medical librarians at major universities in sub-Saharan Africa Kenya, Mali, Nigeria, Zambia and Zimbabwe and is funded by the Office of Global AIDS/US Department of State and the U.S. National Library of Medicine / National Institutes of Health. The Kenyan node is managed through the Kenya Methodist University Library and The University of Nairobi.

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Factors influencing uptake of antenatal care in Taita Taveta County, Kenya
(2019-09) Ndegwa, Mwanyoha Ndegwa
49% of pregnant women are able to make four or more ANC visits in Sub Saharan part of Africa. General objective of the study was to find out factors influencing uptake of ANC in public health facilities in Taita Taveta County. The specific objectives were; to assess influence of early initiation of ANC on uptake of ANC in, determine influence of skilled health providers’ attitude on uptake of ANC, establish influence of availability of community health volunteers on uptake of ANC and determine effects of skilled health providers’ availability on uptake of ANC. A total of three hundred and eighty four mothers and eighteen health facility in-charges participated in the study. The study adopted survey research design and data collected using structured questionnaires for the sampled mothers and key informant interview for the in-charges. The researcher analysed data using Statistical Package for the Social Sciences (SPSS) version 23. Descriptive analysis (percentages and frequencies) and inferential analysis (Chi-square and Spearman’s correlation tests, and regression analysis at significance level of alpha=0.05) were performed. Results indicated 43.6% of the mothers managed 2 ANC visits, 41.7% 3 visits and14.7% just 1 ANC visit. The findings also indicated that timing of ANC initiation had significant association (X2 (6) = 102.854, p < 0.001) and weak negative relationship (Spearman’s R = -0.201, p < 0.001) with uptake of ANC. An R2 of 0.071 (7%) showed early ANC initiation had low degree of influence on ANC uptake. Reception during ANC visits had significant association (X2 (8) = 564.235, p < 0.001) and strong positive relationship (Spearman’s R = 0.905, p < 0.001) with ANC uptake; and adequacy of privacy had significant association (X2 (8) = 459.447, p < 0.001) and moderate positive relationship (Spearman’s R = 0.763, p < 0.001) with ANC uptake. An R2 of 0.819 (81.9%) showed skilled health providers’ attitude had high degree of influence on ANC uptake. Moreover, number of CHVs visits had significant association (X2 (8) = 317.099, p < 0.001) and high positive relationship (Spearman’s R = 0.870, p < 0.001) with ANC uptake; and CHVs perceived importance had significant association (X2 (8) = 321.872, p < 0.001) and strong positive relationship (Spearman’s R = 0.863, p < 0.001) with ANC uptake. An R2 of 0.784 (78.4%) showed that availability of CHVs had high degree of influence on ANC uptake. Lastly, the results indicated that waiting time had significant association (X2 (6) = 354.829, p < 0.001) and moderate negative relationship (Spearman’s R = -0.745, p < 0.001) with ANC uptake; presence of skilled health providers had significant association (X2 (4) = 668.9, p < 0.001) and strong positive relationship (Spearman’s R = 0.947, p < 0.001) with ANC uptake; and adequacy of sessions had significant association (X2 (8) = 321.872, p < 0.001) and strong positive relationship (Spearman’s R = 0.899, p < 0.001) with ANC uptake. An R2 of 0.920 (92%) showed that availability of skilled health providers had high degree of influence on ANC uptake. The researcher concludes that; pregnant women in the county are knowledgeable about ANC, however initiation is poor; Staff attitude contributes significantly towards improved ANC uptake; Pregnant mothers who have been visited by CHVs initiate ANC in time; Availability of healthcare providers in the right number and mix contribute to improved ANC uptake. The researcher, therefore recommends that County should recruit additional healthcare providers to render better quality ANC services
Factors influencing uptake of antenatal care in Taita Taveta County, Kenya
(Journal of Health, Medicine and Nursing, 2019) Ndegwa, Mwanyoha Ndegwa; Oluoch, Musa; Kimemia, Fredrick
Purpose: The general purpose of the study was to establish factors influencing uptake of antenatal care among pregnant women. Methodology: The study was conducted in TaitaTaveta County, Kenya, which had a population of 338,696, with 81,288 women estimated to be of reproductive age, and 9,823 women estimated to be pregnant per year. The county had a total of 60 public health facilities, including 1 public referral hospital, 3 sub-county hospitals, 18 health centres and 38 dispensaries. The total workforce for the public health facilities was 1000 health care providers, including 300 (30%) nurses/midwives, 25 (2.5%) doctors, and 1750 community health volunteers. Data was collected using structured questionnaires for the mothers (n=381) and key informant interview for the in-charges (n=17). Data was analysed using SPSS, version 23. Chi-square and Spearman’s R tests, and categorical regression were used to determine the relationship between uptake of antenatal care and the independent variables. The results were summarized and presented in form of tables, figures and charts. Findings: Results indicated that antenatal care initiation time (R2 = 0.07) had a weak positive influence on uptake of antenatal care, while skilled health providers’ attitudes (R2 = 0.82), availability of community health volunteers (R2 = 0.78), and availability of skilled health providers (R2 = 0.92) had a strong positive influence on uptake of antenatal care.