7 research outputs found

    Health care utilization for common childhood illnesses in rural parts of Ethiopia: evidence from the 2016 Ethiopian demographic and health survey

    No full text
    Abstract Background Generally, health care utilization in developing countries is low particularly rural community have lower health care utilization. Despite this fact, little is known about the magnitude and determinants of health care utilization for common childhood illnesses in Ethiopia. Thus, this study was conducted to determine the magnitude and to identify determinants of health care utilization for common childhood illnesses in the rural parts of Ethiopia. Methods For this study, data were obtained from the 2016 Ethiopian demographic and health survey. A total of 1576 mothers of under-five children were included in the analysis. Data analysis was performed using R software. Both univariable and multivariable logistic regression analysis were fitted to identify the determinants of health care utilization. Variables with a 95% confidence interval for odds ratio excluding one were considered as significant determinants of the outcome. Results The findings of this study revealed that only half (49.7%) (95%CI: 46.1–53.4%), 40.9% (95%CI 37.6–44.2%), and 38.0% (95%CI: 34.7–41.4%) of the children utilized health care for diarrhea, fever, and cough, respectively. Children age between 12 and 23 months (AOR: 1.58, 95%CI: 1.08–2.31), maternal education (AOR: 1.96, 95%CI: 1.34–2.88), and giving birth at health facilities (AOR: 1.49, 95%CI: 1.04–2.13) were found to be the determinants of health care utilization for diarrhea. Marital status (AOR: 0.25, 95%CI: 0.06–0.81), husbands’ education (AOR: 1.37, 95%CI: 1.01–1.86), and giving birth at health facilities (AOR: 1.51, 95%CI: 1.09–2.10) were factors significantly associated with health care utilization for fever. Children age between 12 and 23 months (AOR: 1.51, 95%CI: 1.03–2.22), maternal education (AOR: 1.70, 95%CI: 1.18–2.44), and giving birth at health facilities (AOR: 1.74, 95%CI: 1.23–2.46) were significantly associated with health care utilization for cough. Conclusions Low health care utilization for childhood illnesses was noticed. The health care utilization for diarrhea and cough was lower for children of ages between 0 and 11 months, mothers without formal education and home-delivered children’s. The health care utilization for fever was lower for separated parents, husbands without formal education, giving birth at home and from the poorest family. Programs to improve the educational status of a household are essential for better care utilization and children development

    Time to recovery from obstetric fistula and determinants in Gondar university teaching and referral hospital, northwest Ethiopia

    No full text
    Abstract Background Obstetric fistula is an abnormal connection between the vagina and rectum and/or bladder, which leads to continuous urinary or fecal incontinence. It is a serious problem in the world poorest countries, where most mothers give birth without any medical care. In most cases obstetric fistula is preventable and can be treated successfully, if it is carried out by a competent surgeon with a good follow-up of postoperative care. However, there remains to explore more on the duration of obstetric fistula recovery and determinant factors. The aim of this study was to estimate the average recovery time of obstetric fistula and to identify its determinants in Gondar University teaching and referral hospital, northwest Ethiopia. Method A retrospective follow up study was conducted at Gondar University teaching and referral hospital. A total of 612 fistula cases were included in the study and simple random sampling technique was applied to select the study subjects. Kaplan-Meier and log rank test were computed to explore the data. Weibull regression survival model with univariate frailty was done to identify the determinant factors of time to recovery. Results Of 612 fistula patients, 539(88.07%) were recovered. The Average (median) recovery time was 5.14 (IQR = 3.14, 9.14) weeks. Using Antibiotic (AHR = 1.49, 95% CI = 1.11–2.01), having history of antenatal care (ANC) (AHR = 1.95, 95% CI = 1.39–2.73), being literate (AHR = 2.23, 95% CI = 1.62–3.06), duration of bladder catheterization (AHR = 0.93, CI = 0.90–0.95) and being multiparous (AHR = 1.51, 95% CI = 1.17–1.96) were a significant predictors of the rate of recovery. Also, underweight (AHR = 0.45, 95% CI = 0.30–0.68), overweight (AHR = 0.56, 95% CI = 0.41–0.76), being obese (AHR = 0.41, 95% CI = 0.21–0.80), having extensive fistula (AHR = 0.82, 95% CI = 0.73–0.91), large fistula (AHR = 0.42, 95% CI = 0.23–0.78), medium width (AHR = 0.62, 95% CI = 0.43–0.91) and large width (AHR = 0.42, 95% CI = 0.23–0.78) were statistically significant predictors of the rate of recovery from fistula patients. Conclusion The average recovery time from obstetric fistula patients was 5.14 weeks. Small Length and width of fistula, patients’ educational status (literacy), antibiotic use, history of antenatal care visits, normal BMI, short period catheterization and being multiparous were the significant determinate variables which shorten the recovery time of obstetric fistula

    Prevalence and determinants of unintended pregnancy in Ethiopia: A systematic review and meta-analysis of observational studies.

    No full text
    BACKGROUND:Unintended pregnancy has significant consequences for the health and welfare of women and children. Despite this, a number of studies with inconsistent findings were conducted to reduce unintended pregnancy in Ethiopia; unavailability of a nationwide study that determines the prevalence of unintended pregnancy and its determinants is an important research gap. Thus, this study was conducted to determine the overall prevalence of unintended pregnancy and its determinants in Ethiopia. METHODS:We searched from Google Scholar, PubMed, Science Direct, Web of Science, CINAHL, and Cochrane Library databases for studies. Each of the original studies was assessed using a tool for the risk of bias of observational studies. The heterogeneity of studies was also assessed using I2 test statistics. Data were pooled and a random effect meta-analysis model was fitted to provide the overall prevalence of unintended pregnancy and its determinants in Ethiopia. In addition, the subgroup analyses were performed to investigate how the prevalence of unintended pregnancy varies across different groups of studies. RESULTS:Twenty-eight studies that satisfy the eligibility criteria were included. We found that the overall prevalence of unintended pregnancy in Ethiopia was 28% (95% CI: 26-31). The subgroup analyses showed that the highest prevalence of unintended pregnancy was observed from the Oromiya region (33.8%) followed by Southern Nations Nationalities and Peoples' region (30.6%) and the lowest was in Harar. In addition, the pooled prevalence of unintended pregnancy was 26.4% (20.8-32.4) and 30.0% (26.6-33.6) for community-based cross-sectional and institution-based cross-sectional studies respectively. The pooled analysis showed that not communicating with one's husband about family planning was more likely to lead to unintended pregnancy (OR: 3.56, 95%CI: 1.68-7.53). The pooled odds ratio also showed that unintended pregnancy is more likely among women who never use family planning methods (OR: 2.08, 95%CI: 1.18-3.69). Furthermore, the narrative review of this study showed that maternal education, age, and household wealth index are strongly associated with an unintended pregnancy. CONCLUSIONS:In this study, the prevalence of unintended pregnancy was high. Lack of spousal communication, never using family planning, maternal education, and household wealth level were significantly associated with an unintended pregnancy. This study implies the need to develop plans and policies to improve the awareness of contraceptive utilization and strengthen spousal communication related to pregnancy

    Magnitude of asymptomatic COVID-19 cases throughout the course of infection: A systematic review and meta-analysis.

    No full text
    BackgroundAsymptomatic SARS-CoV-2 infections are responsible for potentially significant transmission of COVID-19. Worldwide, a number of studies were conducted to estimate the magnitude of asymptomatic COVID-19 cases. However, there is a need for more robust and well-designed studies to have a relevant public health intervention. Synthesis of the available studies significantly strengthens the quality of evidences for public health practice. Thus, this systematic review and meta-analysis aimed to determine the overall magnitude of asymptomatic COVID-19 cases throughout the course of infection using available evidences.MethodsWe followed the PRISMA checklist to present this study. Two experienced review authors (MA and DBK) were systematically searched international electronic databases for studies. We performed meta-analysis using R statistical software. The overall weighted proportion of asymptomatic COVID-19 cases throughout the course infection was computed. The pooled estimates with 95% confidence intervals were presented using forest plot. Egger's tests were used to assess publication bias, and primary estimates were pooled using a random effects model. Furthermore, a sensitivity analysis was conducted to assure the robustness of the result.ResultsA total of 28 studies that satisfied the eligibility criteria were included in this systematic review and meta-analysis. Consequently, in the meta-analysis, a total of 6,071 COVID-19 cases were included. The proportion of asymptomatic infections among the included studies ranged from 1.4% to 78.3%. The findings of this meta-analysis showed that the weighted pooled proportion of asymptomatic COVID-19 cases throughout the course of infection was 25% (95%CI: 16-38). The leave-one out result also revealed that the weighted pooled average of asymptomatic SARS-CoV-2 infection was between 28% and 31.4%.ConclusionsIn conclusion, one-fourth of SARS-CoV-2 infections are remained asymptomatic throughout the course infection. Scale-up of testing, which targeting high risk populations is recommended to tackle the pandemic
    corecore