Introduction. Globally, postpartum hemorrhage is the most common cause of maternal mortality and morbidity, and it accounts for more than 25% of all maternal deaths. The majority of death due to postpartum hemorrhage is caused by uterine atony. Routine and correct usage of active management of the third stage of labor decreases the occurrence of postpartum hemorrhage by 60% when compared to expectant management of the third stage of labor. The purpose of this study was to assess midwife knowledge, practice, and associated factors towards active management of the third stage of labor at governmental health institutions in the Tigray region, 2018. Results. These study results showed that from the total study participants (N=278), 170 (61.2%) were good in knowledge and 121 (43.5%) were good in practice towards active management of the third stage of labor. Training related to active management of the third stage of labor (AOR=2.119, 95%CI=1.141, 3.3937) and practice level of midwives (AOR=8.089, 95%CI=4.103, 15.950) became significantly associated with the knowledge level. The educational level of midwives (AOR=3.811, 95%CI=2.015, 7.210), training related to active management of the third stage of labor (AOR=2.591, 95%CI=1.424, 4.714), and knowledge level of midwives towards active management of the third stage of labor (AOR=7.324, 95%CI=3.739, 14.393) were significantly associated with the practice level. This study showed that training related to active management of the third stage of labor was significantly associated with the knowledge and practice level of midwives. The educational level and knowledge level of midwives were significantly associated with the practice level of midwives towards active management of the third stage of labor. Therefore, midwives should update their academic level and knowledge. Health institutions in collaboration with the Tigray Regional Health Bureau should arrange training for all midwives to bring change.
Institutional-based cross-sectional study design was conducted from November 15/2017 to January 12/2018 to assess midwives’ knowledge, practice, and associated factors towards active management of the third stage of labor. The study was conducted at all governmental health institutions found in two zones of the Tigray region. The Tigray region is the northernmost of the nine regions of Ethiopia. It is also known as Region 1 according to the federal constitution. The state’s capital and largest city is Mekelle. Tigray is bordered by Eritrea to the north, Sudan to the west, Afar region to the east, and the Amhara region to the south and southwest [18]. Based on the projection made from the Ethiopian census of 2007, the region had a total population of 4,806,843 of whom 2,441,158 (50.8%) were female in 2015. The region is administratively divided into 7 zones including one special zone (Mekelle). The Tigray regional state has a total of 24 hospitals and 254 health centers, and the total number of midwives in the region is 918. The study was conducted in two zones of the Tigray region, the central zone and Mekelle specialized zone which contains 73 governmental health institutions (62 health centers and 11 hospitals), and the total number of midwives in the two zones was 304 [19]. So, all midwives who were working in the delivery room of selected governmental health institutions (62 health centers and 11 hospitals) in the Tigray region during data collection were included. The sample size was determined using a single population proportion formula at 95% confidence interval with the assumption of the prevalence of AMTSL knowledge in Ethiopia 37.7% [20]. With α = 0.05, marginal error d = 0.05. After using the correction formula, the final sample size became 285 midwives. Seven zones of the Tigray region were clustered, and two of them (30%) were taken by simple random sampling, and all midwives (285) working in the governmental health institutions (11 hospitals and 62 health centers) that are found in the two selected zones of the Tigray region who fulfilled the inclusion criteria were included in the study. Data was collected by face-to-face interview questionnaires and observation by using a semistructured questionnaire and observational checklist. Semistructured questionnaires were adapted and adopted from different literature, while the observational checklist was adopted from ICM and FIGO guidelines. The face-to-face interview using a questionnaire was used to assess study participant sociodemographic information and knowledge, and an observational checklist was used to assess midwife practice. Data was collected by 20 degree midwives who had experience in data collection and 3 supervisors. Questionnaires and checklist were prepared in the English language by the principal investigator and reviewed by the advisors. These questionnaires and checklist were pretested on 10% of the calculated sample size outside the selected study area (Machew Hospital, Adigudom Primary Hospital, and Hewane Health Center), and one-day training was given by the principal investigator for data collectors and supervisors concerning the research objective, data collection tools, procedures, and how to fill the questionnaire and checklist properly. Moreover, data quality was assured by designing a data collection instrument, and 10% of the collected data was checked by the supervisor daily for completeness, and finally, the principal investigator monitored the overall quality of data collection. The collected data was cleaned, coded, and entered into Epi Info version 3.5.1 and transported to SPSS (Statistical Package for the Social Sciences) version 20 for analysis. Descriptive statistical analysis was used to compute frequency, percentage, and others such as measures of central tendency. Binary logistic regression analysis was used to identify the association between dependent and independent variables. Variables with a significant association in the bivariate analysis were entered into multivariate analysis to determine the knowledge and practice of midwives towards AMTSL, and variables with p value less than 0.2 and 0.05 were considered statistically significant for bivariate and multivariate regression, respectively. The overall results were presented in texts, tables, and figures. These are sociodemographic characteristics such as religion, ethnicity, age, sex, and others such as year of experience, place of work, level of education, in-service training, access to reading material, and availability of uterotonic drugs. The dependent variables are knowledge and practice. Knowledge refers to the level of awareness and understanding of midwives regarding active management of the third stage of labor. Good in knowledge is defined as those who knew 5 and above from seven questions prepared to assess the knowledge level of midwives towards AMTSL. Poor in knowledge is defined as those who answered less than five questions from seven questions prepared to assess knowledge of midwives on AMTSL. Practice refers to the ability of midwives to carry out the management of the third stage of labor. Good in practice is defined as those who performed13 steps correctly in the proper sequence from 15 steps prepared to assess midwives’ skill. Poor in practice is defined as those who performed less than 13 steps correctly in the proper sequence from 15 steps prepared to assess midwife skill.
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