4.1. Study Area and period
The study was carried out in Addis Ababa, the capital city of Ethiopia, which has a total size of 527 km2 and is situated in the country's central region. Estimated population density for this settlement is 5,535.8 persons per square kilometer. According to 2007 CSA, Addis Ababa is expected to have a total population of 5,227,794 million by the year 2022.The city has 121woredas and 11 sub cities. The Addis Ababa City Administration Health Bureau owns 6 hospitals, the Federal Ministry of Health owns 4, Addis Ababa University owns 1, a non-governmental organization owns 3, and the Defense Force and Police hold 3, and 34 private owners own their facilities. Ten of them are hospitals that provide MCH services. There are over 700 private clinics and 98 health canters together. 75 of these clinics are higher ones. There are 10 government hospitals in Addis Ababa that perform caesarean sections and report to the Addis Ababa City Administration Health Bureau, according to DHIS report data of the AA health bureau. From July 5 to August 29, 2022, this study will be conducted among moms who gave birth at the three public hospitals that have been chosen, namely Tirunesh Beijing Hospital, Yekatit 12 Medical College General Hospital, and Ras Desta Damtew Memorial General Hospital.
4.2. Study design
- Institution based cross sectional study was conducted
4.3. Source population
- All immediate postnatal women in public hospital of Addis Ababa, Ethiopia
4.4 Study population
- All immediate postnatal women in selected public hospital of Addis Ababa, Ethiopia
4.5. Study units
Inclusion criteria:
- All immediate postnatal women and who gave informed consent will be included in the study
- All charts of the women who gave birth after the fetus are viable.
Exclusion criteria:
- Mothers, who was critically ill, develop a childbirth complication, and unable to respond during data collection period will be excluded.
- Incomplete charts.
4.6. Sample Size Determination
To assess Magnitude of cesarean section delivery rate among immediate postnatal women in selected public hospitals of Addis Ababa ; the required sample size is determined by using a single population proportion sample determination formula for objective one and double population proportion sample determination is used for objective two by considering the following assumptions. Proportion of among women who gave birth in Southwest Ethiopia with cesarean section 32.5 (3).
The formula for calculating the sample size is n =D (zα/2².p (1-p))/d²
Where,
- Level of significance = 95%
- Margin of error = 5%
- Non-response rate = 5%
- D is the design effect = 1.5
- P = 32.5 %, the proportion of mothers who gave birth in South west Ethiopia with cesarean section
- q = (1-p)
- n- Sample size
- Z- Standard normal distribution curve value for 95% CI Which is 1.96
- d- Tolerable margin of error = 5% (0.05)
n = 1.5(1.96)2 × 0.32.5 × (1 − 0.32.5)/(0.05)2=505
Hence, the calculated sample size was 550. Adding a 10% Nonresponse rate gave the required minimum sample size (n) = 550 As per the formula above,
4.7. Sampling technique and Procedure
The study was conducted in three randomly selected public hospitals of Addis Ababa, Ethiopia, from March 2022–April 2022. Total sample sizes of 550 clients who had birthing services provided was selected from three health institutions. The numbers of mother opreated surveyed from each health institution were allocated proportionally based on the expected number of deliveries in the study period, which was estimated using the number of last one month in each health institution.
4.8. Data collection procedure
The data was collected from immediate postnatal women by using a structured and pretested self-administered questionnaire and by reviewing client MRN. The questionnaire was adapted through the review of different kinds of literature and previous similar studies. The questionnaire was developed in English and then translated into Amharic and back to English. A review was conducted for consistency of the translation of the language. The tool consists of two sections: socio-demographic characteristics and obstetric characteristics. One midwife, two nurses, and one MPH health professional were recruited and took a training on the objective of the study and techniques of data collection for one day, participating in the data collection and supervision respectively.
4.9 Operational definitions
Caesarea section Is a comprehensive obstetric surgical incision in a women’s abdomen and uterus for delivery of the fetus, membrane, and placenta after viability of the fetus. (3)
Incompletes chart; is the patient card that has not contained all components filled according to the chart needed(21)
Previous cesarean section: – It is widely assumed that having had one cesarean section makes it impossible to have a vaginal delivery in subsequent pregnancies (22)
4.10. Data entry and analysis
The collected data was cleared and entered into Epi Info version 7.0, then exported to SPSS version 20 for analysis. The outcome was then displayed using a table, narrative statements, and charts. Binary logistic regression was used to run bivariate and multivariate analyses to determine the relationship between each independent variable and the result variable. After verifying the binary logistic regression's presumptions, values from the bivariate analysis that fall below 0.25 will be looked at as potential candidates for multivariate logistic regression. Utilizing VIF, a multi- collinearity test was performed. Since all included variables had VIF values greater than 10, the results of the multi- collinearity test revealed that there is no indication of collinearity among the independent variables. In order to assess the model's fitness, Hosmer-Lemeshow goodness tests were performed (65.4). For a result to be deemed statistically significant, adjusted odds ratios with their 95% confidence intervals and a p-value of less than 0.05 were employed.