Background Maternal mortality remains a major challenge to health systems in low and middle-incoming countries. Some pregnant women develop potentially life-threatening complications during childbirth. Therefore, home delivery is a precursor for maternal mortality. In this study, we aimed at not only estimating the percentage of deliveries occurring at home and examining the factors associated with home delivery, but we also explored the reasons for home delivery among women in rural Ghana. Methods The study was conducted among mothers with delivery experience in selected communities in the Builsa South district located in the Upper East Region of Ghana. Both quantitative and qualitative data were collected using semi-structured questionnaires and Focus Group Discussion (FGD) guide respectively. A total of 456 mothers participated in this study. Regression models were used in the quantitative analysis whereas a thematic analysis approach was used to analyze the qualitative data. Results Of the 423 mothers in the quantitative research, 38.1% (95% CI: 33.5-42.8) delivered their index child at home. In adjusted analysis, women who were not exposed to information (AOR = 13.64, p<0.001) and women with 2 (AOR = 4.64, p = 0.014), 3 (AOR = 4.96, p = 0.025) or at least 4 living children (AOR = 9.59, p = 0.001) had higher odds of delivering at home. From the qualitative analysis, the poor attitude of nurses (midwives), lack of, and cost
Aims: Knowing the risk factors for tuberculosis (TB) opens up avenues for identifying target groups for intensified case finding. We aimed to identify the risk factors for pulmonary TB (PTB) incidence in a rural district in northern Ghana.
Study Design: A matched case-control study.
Place and Duration of Study: The Kassena Nankana West District of the Upper East Region of Ghana, between February 2019 and March 2019.
Methodology: This study was conducted in 4 public health facilities. Cases were newly confirmed PTB patients aged 15 years or over, controls were age and sex matched outpatients. A pre-tested questionnaire collected information on a range of possible risk factors from participants. Conditional logistic regression identified independent risk factors for PTB incidence in a multivariable model at 95% confidence level.
Results: The analysis included 174 cases and controls. Multivariable analysis showed that the risk of PTB was increased with low household monthly income (AOR=3.45; 95% CI: 1.08-10.97; P=.03), smoking (AOR=2.69; 95% CI: 1.13-6.43; P=.02) as well as household exposure to a known TB case (AOR=2.57; 95% CI: 1.08-6.10; P=.03).
Conclusion: Low household monthly income, smoking, and household exposure to a known TB case were independent risk factors for PTB incidence. These factors can be used to actively screen for PTB in the population.
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