Time to recovery from Eclampsia and its determinants in east Gojjam zone hospitals, Amhara, Ethiopia, 2017/18.

BACKGROUND: Eclampsia is a tonic clonic type of seizure among pre-eclamptic mothers. Time to recovery from eclampsia is to mean that the time when the mother recovered from severity features of pre-eclampsia. As far as the mother is not free from severity features, she is in a potential to end-up with repeated seizure (eclampsia). Therefore, combating eclampsia through controlling severity features is crucial to enhance maternal health quality, reduce maternal morbidity and mortality, and improve prenatal outcomes. There was no literature that describes the recovery time of eclampsia and its determinants in Ethiopia. Therefore, this study aimed to assess the recovery time from eclampsia and its determinants in East Gojjam zone hospitals. METHODS: An institutional based retrospective follow up study was conducted between January 2014 and December 2017 among 608 eclamptic mothers in East Gojjam zone Hospitals. Simple random sampling technique was used. Data were coded and entered to Epidata version 3.1 and was exported to SPSS version 20 and then to Stata 14. We used the adjusted hazard ratio (AHR) with 95% confidence interval at p-value less than 0.05 to measure strength of association. RESULT: The median recovery time of eclampsia was 12 h with inter-quartile range of (1-48 h). The rate of recovery from eclampsia among mothers aged more than 20 years was reduced by half (AHR 0.50 (0.28, 0.89)) than the teenagers. The rate of recovery from eclampsia among mothers who had prolonged labor was 1.3 times (AHR 1.26 (1.01, 1.57)) than those whose labor was less than 12 h. About 32% of mothers with multiple convulsions recoverd later than (AHR 0.68 (0.52, 0.87)) those who had single convulsion. As compared to antepartum convulsion, the rate of recovery from postpartum eclampsia was 1.8 times faster (AHR 1.81(1.17, 2.81)). CONCLUSION: The median recovery time from severity features among eclamptic mothers in East Gojjam zone hospitals was half a day. It is affected by age, duration of labor, number of convulsions and time of occurrence of the event. Special attention for elders, prevent recurrent convulsion and faster termination for the antepartum eclamptic mothers are recommended from this follow-up study.

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

BACKGROUND: Asymptomatic 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. METHODS: We 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. RESULTS: A 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%. CONCLUSIONS: In 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.

Serial interval and incubation period of COVID-19: a systematic review and meta-analysis.

BACKGROUND: Understanding the epidemiological parameters that determine the transmission dynamics of COVID-19 is essential for public health intervention. Globally, a number of studies were conducted to estimate the average serial interval and incubation period of COVID-19. Combining findings of existing studies that estimate the average serial interval and incubation period of COVID-19 significantly improves the quality of evidence. Hence, this study aimed to determine the overall average serial interval and incubation period of COVID-19. METHODS: We followed the PRISMA checklist to present this study. A comprehensive search strategy was carried out from international electronic databases (Google Scholar, PubMed, Science Direct, Web of Science, CINAHL, and Cochrane Library) by two experienced reviewers (MAA and DBK) authors between the 1st of June and the 31st of July 2020. All observational studies either reporting the serial interval or incubation period in persons diagnosed with COVID-19 were included in this study. Heterogeneity across studies was assessed using the I2 and Higgins test. The NOS adapted for cross-sectional studies was used to evaluate the quality of studies. A random effect Meta-analysis was employed to determine the pooled estimate with 95% (CI). Microsoft Excel was used for data extraction and R software was used for analysis. RESULTS: We combined a total of 23 studies to estimate the overall mean serial interval of COVID-19. The mean serial interval of COVID-19 ranged from 4. 2 to 7.5 days. Our meta-analysis showed that the weighted pooled mean serial interval of COVID-19 was 5.2 (95%CI: 4.9-5.5) days. Additionally, to pool the mean incubation period of COVID-19, we included 14 articles. The mean incubation period of COVID-19 also ranged from 4.8 to 9 days. Accordingly, the weighted pooled mean incubation period of COVID-19 was 6.5 (95%CI: 5.9-7.1) days. CONCLUSIONS: This systematic review and meta-analysis showed that the weighted pooled mean serial interval and incubation period of COVID-19 were 5.2, and 6.5 days, respectively. In this study, the average serial interval of COVID-19 is shorter than the average incubation period, which suggests that substantial numbers of COVID-19 cases will be attributed to presymptomatic transmission.

Patient delay in the diagnosis of tuberculosis in Ethiopia: a systematic review and meta-analysis.

BACKGROUND: Delay in the diagnosis of Tuberculosis (TB) remains a major challenge against achieving effective TB prevention and control. Though a number of studies with inconsistent findings were conducted in Ethiopia; unavailability of a nationwide study determining the median time of patient delays to TB diagnosis is an important research gap. Therefore, this study aimed to determine the pooled median time of the patient delay to TB diagnosis and its determinants in Ethiopia. METHODS: We followed PRISMA checklist to present this study. We searched from Google Scholar, PubMed, Science Direct, Web of Science, CINAHL, and Cochrane Library databases for studies. The comprehensive search for relevant studies was done by two of the authors (MA and LY) up to the 10th of October 2019. Risk of bias was assessed using the Newcastle-Ottawa scale adapted for observational studies. Data were pooled and a random effect meta-analysis model was fitted to provide the overall median time of patient delay and its determinants in Ethiopia. Furthermore, subgroup analyses were conducted to investigate how the median time of patient delay varies across different groups of studies. RESULTS: Twenty-four studies that satisfied the eligibility criteria were included. Our meta-analysis showed that the median time of the patient delay was 24.6 (95%CI: 20.8-28.4) days. Living in rural area (OR: 2.19, 95%CI: 1.51-3.18), and poor knowledge about TB (OR: 2.85, 95%CI: 1.49-5.47) were more likely to lead to prolonged delay. Patients who consult non-formal health providers (OR: 5.08, 95%CI: 1.56-16.59) had a prolonged delay in the diagnosis of TB. Moreover, the narrative review of this study showed that age, educational level, financial burden and distance travel to reach the nearest health facility were significantly associated with a patient delay in the diagnosis of TB. CONCLUSIONS: In conclusion, patients are delayed more-than three weeks in the diagnosis of TB. Lack of awareness about TB, consulting non-formal health provider, and being in the rural area had increased patient delay to TB diagnosis. Increasing public awareness about TB, particularly in rural and disadvantaged areas could help to early diagnosis of TB.

Risk factors for mortality among drug-resistant tuberculosis patients registered for drug-resistant treatment in Amhara region, Ethiopia: a historical cohort study.

BACKGROUND: The emergency of drug resistant tuberculosis is a major public health concern worldwide including Ethiopia. However, little is known about risk factors of mortality among drug resistant tuberculosis patients in the study site. Thus, this study was aimed to estimate the risks factors for mortality among drug resistant tuberculosis patients registered for drug-resistant treatment in Amhara region, Ethiopia. METHODS: An institutional-based retrospective cohort study was carried out among laboratory-confirmed drug-resistant tuberculosis patients (n = 498) who were initiated treatment for drug-resistant tuberculosis between September 1, 2010, and December 31, 2017. The demographic and clinical characteristics of the patients were obtained from the register of patients treated for drug-resistant tuberculosis. The data were entered using EpiData version 4.2 and exported to Stata Version 14.1 for further analysis. Descriptive measures were used to characterize the study participants. Kaplan-Meier was used to estimate the survival time of the patients. Cox proportional hazard model was used to identify risk factors for mortality. Hazard Ratio (HR) with 95% confidence interval was used to report the strength of association between risk factors and mortality. RESULTS: Death was observed among 14.2% (n = 70) of the 498 patients who met the inclusion criteria. The incidence rate of death was 8.20 (95% CI: 7.62, 20.50) per 1000 Person-months in the course of follow-up. The median age was 29.30 years (IQR:23-41). Age 45 years and above (adjusted hazard ratio (AHR) = 1.28: 95% CI: 1.10, 1.68), smoking cigarette (AHR = 1.39: 95% CI:1.27,3.18), tuberculosis related complication (AHR = 9.31:95% CI:5.11,16.97), anemia (AHR = 3.04:95% CI:1.14, 9.20), HIV/AIDS (AHR = 1.34:95% CI:1.25, 3.35), previous tuberculosis treatment history (AHR = 1.37:95% CI:1.16, 1.86), and diabetes mellitus (AHR = 1.85:95% CI:1.24,5.71) were identified risk factors for mortality. CONCLUSIONS: This study concluded that drug-resistant tuberculosis mortality remains high in the study site. Age 45 years and above, smoking cigarette, tuberculosis related clinical complication, being anemic at baseline, HIV/AID, previous tuberculosis treatment history, and diabetes mellitus were identified risk factors for mortality. Continual support of the integration of TB/HIV service with emphasis and working on identified risk factors may help in reducing drug-resistant tuberculosis mortality.

Magnitude of risk factors and in-hospital mortality of stroke in Ethiopia: a systematic review and meta-analysis.

BACKGROUND: The morbidity and mortality of stroke is disproportionately high in developing countries owing to the poor health care system and poor neurologic interventions. Though a number of studies were conducted to estimate the in-hospital mortality rate of stroke in Ethiopia, the lack of a nationwide study that determines the overall magnitude of risk factors and in-hospital mortality rate of stroke is an important research gap. Meta-analysis is key to improve the accuracy of estimates through the use of more data sets. Thus, this study was aimed to determine the overall magnitude of risk factors and in-hospital mortality rate of stroke in Ethiopia. METHODS: This study was conducted following the PRISMA checklist. 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 adapted for cross-sectional studies. Data were pooled and a random effect meta-analysis model was fitted to provide the overall magnitude of risk factors and in-hospital mortality rate of stroke. Also, the subgroup analyses were performed to examine how the in-hospital mortality rate varies across different groups of studies. RESULTS: In this study, the overall magnitude of hypertension, diabetes mellitus, and atrial fibrillation among stroke patients were 47% (95%CI: 40-54), 8% (95CI%:6-12), and 10% (95%CI: 5-19), respectively. The overall in-hospital mortality of stroke in Ethiopia was 18% (95%:14-22). The highest magnitude of in-hospital mortality of stroke was observed in SNNPR and the lowest was noted in Tigray region. In addition, the magnitude of the in-hospital mortality rate of stroke was 15.1% (95%CI: 11.3-19.4), and 19.6%(95%CI: 14.1-25.7), among studies published before and after 2016, respectively. CONCLUSIONS: Our pooled result showed that nearly one-fifth of stroke patients have died during hospitalization. The most common risk factor of stroke among the included studies was hypertension followed by atrial fibrillation and diabetes mellitus. There is a need for a better understanding of the factors associated with high blood pressure, especially in countries with a high risk of stroke.

Determinants of institutional delivery service utilization in Ethiopia: a population based cross sectional study.

BACKGROUND: The incidence of maternal mortality remains unacceptably high in developing countries. Ethiopia has developed many strategies to reduce maternal and child mortality by encouraging institutional delivery services. However, only one-fourth of women gave birth at health facility, in the country. This, this study aimed to identify individual level factors and to assess the regional variation of institutional delivery utilization in Ethiopia. METHODS: Data were obtained from the 2016 Ethiopian demographic and health survey. In this study, a total of 7174 reproductive age women who had birth within five years were included. We fitted multilevel logistic regression model to identify significantly associated factors associated with institutional delivery. A mixture chi-square test was used to test random effects. Statistical significance was declared at p < 0.05, and we assessed the strength of association using odds ratios with 95% confidence intervals. RESULT: The level of institutional delivery was 38.9%. Women's who had focused antenatal care (FANC) visit (AOR = 3.12, 95% CI: 2.73-3.56), multiple gestations (AOR = 2.06, 95% CI: 1.32-3.21, and being urban residence (AOR = 7.18, 95% CI: 5.10-10.12) were more likely to give birth at health facility compared to its counterpart. Compared to women's without formal education, giving birth at health facility was more likely for women's who had primary education level (AOR = 1.77, 95% CI: 1.49-2.10), secondary education level (AOR = 3.79, 95% CI: 2.72-5.30), and higher education level (AOR = 5.86, 95% CI: 3.25-10.58). Furthermore, women who reside in rich (AOR = 2.39, 95% CI: 1.86-3.06) and middle (AOR = 1.66, 95% CI: 1.36-2.03) household wealth index were more likely to deliver at health facility compared to women's who reside poor household wealth index. Moreover, this study revealed that 34% of the total variation in the odds of women delivered at health institution accounted by regional level. CONCLUSION: The level of institutional delivery in Ethiopia remains low. Context specific and tailored programs that includes educating women and improving access to ANC services has a potential to improve institutional delivery in Ethiopia.

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

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.

Second-line antiretroviral therapy regimen change among adults living with HIV in Amhara region: a multi-centered retrospective follow-up study.

OBJECTIVE: This study was conducted to determine the rate of initial second-line ART regimen change and its predictors among adults living with HIV in Amhara region. A retrospective follow-up study was conducted between February, 2008 and April, 2016 at eight governmental hospitals of Amhara region. Person-times and Cox proportional hazard model were fitted to determine the rate and to identify the significant predictors of second-line treatment regimen change. RESULTS: A total of 897 records of patients were analyzed. The overall rate of initial second-line drug regimen change was 24.2 per 100 person years. The rate of regimen change was decreased for patients with formal education (HR: 0.77, 95% CI 0.61-0.97), under WHO clinical stage-III (HR: 0.57, 95% CI 0.45-0.73), and WHO clinical stage-IV (HR: 0.64, 95% CI 0.43-0.96). Patients who were taking CPT (HR: 2.05, 95% CI 1.45-2.89) had an increased rate of regimen change. Furthermore, the rate of regimen change was decreased for patients who were switched to second-line treatment due to virological failure (HR: 0.36, 95% CI 0.25-0.53), and due to drug toxicity (HR: 0.48, 95% CI 0.28-0.81). Therefore, addressing significant predictors to maximize the durability on the initial regimen among ART clients is essential.

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

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.

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.