Stata version 14

Data collected on adherence were coded and entered into Stata version 14. A score of 1 was allotted to “yes” when the content of the signal function was performed and 0 to “no” when it was not done. A score of 1 was allotted to “yes” when the correct dose was given, 0 to “no” when the dose was not correct, 1 to “yes” when the frequency was correct, and 0 to “no” when the frequency was not correct and 1 to “yes” when the duration was correct and 0 to “no” when the duration was not correct. The correct scores for the EmONC signal function for each obstetric complication were expressed as a composite score and brought to 100%. The extent of adherence in EmONC signal function was measured in percentage (%). Adherence scores below 70% were regarded as low adherence, while scores ranging from 70% to 100% were regarded as high adherence. The 70% threshold was based on the evidence of 70% noncompliance to practice guidelines in various disciplines, across countries (Barth et al., 2016 (link)). Data analysis was done using Stata version 14. Both descriptive statistics, such as frequency and percentage, and inferential statistics, such as chi-square, were done with the significance level set as p < .05.
The Strengthening the Report of Observational Studies in Epidemiology checklist for cross-sectional studies was used (Network Group Equator, 2021 ).

Continuous variables are expressed as median with interquartile range (IQR). Categorical variables are expressed as frequencies and percentages. The number of bleeding events was expressed as percentage and incidence rate, calculated as the number of events per 100 patient-years of observation. Differences between groups were assessed using the χ² test with Yates’ correction for categorical variables and the Mann–Whitney U test for continuous variables. The data were analyzed with the use of Prism software (Version 8.4.0, GraphPad Software Incorporated, San Diego, CA, USA), and Stata, version 14 statistical software package (Stata Corp., College Station, TX, USA) was used for data processing. Cox regression analysis was performed by entering individual variables considered as RF for bleeding events: female sex, age (⩾75 versus <75 years), renal failure (<60 versus ⩾60 ml/min), active cancer, hypertension, previous bleeding events, alcohol consumption, antiplatelet drugs, hemoglobin level reduction (⩽10 versus >10 g/dl), platelet count reduction (<100 × 10³versus ⩾100 × 10³ µl). The SPSS software for Windows, version 22 (SPSS Inc., College Station, TX, USA) and Stata, version 14 statistical software package (Stata Corp.) were used for data processing.