2 research outputs found

    Determinants of skilled care utilization among pregnant women residents in an urban community in Kwara State, Northcentral Nigeria

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    Background: Skilled attendant at delivery (SBA) is one of the key indicators used in assessing progress towards improved maternal health. This study aimed at identifying factors influencing SBA utilization in Ilorin, Nigeria.Methods: This cross-sectional study was carried out using multi-stage sampling technique among 400 participants in Ilorin, Northcentral Nigeria. A pre-tested questionnaire was used for data collection, and data analysis was done using descriptive and inferential statistics.Results: SBA supervised 73.8% births. Determinants of skilled birth attendance at delivery include higher education (AOR; 10.94, 95% CI; 3.60-33.26), having only one child (AOR; 4.33, 95% CI; 1.18-15.82), having at least 4 ANC attendance (AOR; 18.84, 95% CI; 8.95-55.82) and residing near delivery sites (AOR; 11.49, 95% CI; 2.43-55.56).Conclusion: The proportion of births supervised by SBA needs improvement in Northcentral Nigeria. Full implementation of reproductive health policies will enhance skilled births in Nigeria.Keywords: Skilled birth attendants, Antenatal care, utilizatio

    Prevalence and Determinants of Sickness Absenteeism among Healthcare Workers in a Tertiary Hospital in Southwestern Nigeria

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    Introduction: Sickness absenteeism is a global problem that affects almost all forms of workers, especially healthcare workers. This study assessed the prevalence and determinants of sickness absenteeism among healthcare workers in a tertiary hospital in Southwest, Nigeria. Methods: An institutional-based, cross-sectional study was conducted among 360 healthcare workers in a Tertiary Hospital in Southwest, Nigeria from October to December 2022. A pre-tested interviewer-administered, semi-structured questionnaire was used to elicit information from the respondents who were selected using a stratified sampling technique. Bivariate analysis and binary logistic regression analysis were performed to identify the predictors of sickness absenteeism using SPSS version 25.0. The significance of associations was determined at p-value < 0.05. Results: The mean age ± SD of the respondents was 34 ± 7.15 years. The prevalence of sickness absenteeism among the health workers was 21.0%, while the causes of sickness absenteeism were malaria (51%), body pain (18%), and diarrhea (5%). Family obligation (AOR: 2.1, 95% CI: (1.20, 3.53), P=0.009) and the job type (AOR: 2.7, 95% CI: (1.05, 6.83), P=0.038) were the only predictors of sickness absenteeism. Conclusion: About one-fifth of the respondents had one spell of sickness keeping them away from work due to illnesses such as malaria, diarrhea, and body pain. Preventive interventions should be instituted by stakeholders based on the identified factors to reduce the prevalence of sickness absenteeism among these populations
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