Aim: To examine the pattern of antenatal care services (ANC) utilization in Baptist Medical Centre, Ogbomoso, a mission hospital with a focus on individual, family, religious and socio-economic factors affecting ANC utilisation. Study Design: The study was a cross-sectional prospective study. Place and duration of the study: The study was conducted among antenatal care seekers who attended antenatal care at the Baptist Medical Centre, Ogbomoso (now Bowen University Teaching Hospital) between August 1, 2002 and May 31, 2003. Methodology: The pretested questionnaire was used to obtain the following information: sociodemographic characteristics, family type, parity and booking gestational age in weeks. Analysis was done using SPSS 16. Proportions were determined and statistics presented in tables. Chi-square test was done to determine the association between variables. Results: A total of 442 pregnant women were recruited for the study. The age range of attendees was 13 – 48 years with a mean age of 29.2±5.3. Maternity service use was associated significantly with ANC attendance. Other factors associated with antenatal care attendance included: University educational status (p < .001), civil servant (p < .001) christianity (p = 0.006), residing in Ogbomoso (p < .001), class 1 social status (p < .001) and being told by doctor (p = 0.033). Conclusion: The study unveiled educational status, occupation, social status, place of domicile, religion and need for maternity service use as factors positively associated with ANC utilization in the Baptist Medical Centre Ogbomoso.

Background: COVID-19 quickly assumed a global epidemic with its attendant health, socio-political and economic impacts. Healthcare workers are particularly at increasing risk of being infected and transmitting the virus. This study assessed knowledge, attitude, practice and predictors of preventive practices toward COVD-19 among healthcare workers in Ogbomoso, Nigeria. Study Design: Cross-sectional study. Data were collected online among health workers across health facilities in Ogbomoso. Factors associated with good practices were analyzed using Chi-square. Predictors of good preventive practices were determined by multivariate binary logistic regression. The level of statistical significance was determined to be at P < 0.05. Results: There were 132 study participants; with an average age of 31 years. Fifty-eight percent were medical laboratory scientists. Levels of good knowledge, attitude, and practices were 59.1%, 58.3%, and 38.6%, respectively. Eight-seven percent of respondents sourced COVID-19 related information via the mass media. Ninety-four percent of respondents will not stay at home if sick because of work. Age, profession, and knowledge are significantly associated with COVID-19 preventive practices. The predictors (Model II) of good COVID-19 preventive practices include being a laboratory scientist (odds ratio [OR]: 2.44 [95% confidence interval (CI): 1.05, 6.71]; P = 0.039), working in primary health facility (OR: 4.72 [95%CI: 1.08, 20.67]; P = 0.039) and having good COVID-19 knowledge (OR: 3.71 [95%CI: 1.49–9.925]; P = 0.005). Conclusion: Our study has shown the predictors of good COVID-19 preventive practices among healthcare workers and the need for policy and practice change as it relates to COVID-19 infection prevention and mitigation among healthcare workers.

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