Replication Data for Maternal Near Misses and their Determinants Among Women Who Sought Obstetric Care from Fort Portal Regional Referral Hospital, Western Uganda
1.0 Sampling procedures Fort portal regional referral hospital was purposively sampled. The fact that the study was conducted at only one facility, with interest in only one department (maternity), the sampling process was conducted at a single stage, that is, at and within the aforementioned department. A request to be availed with all clinical records of mothers who received antenatal care and delivered from Fort Portal regional referral hospital between the years 2017 and 2019 was made to relevant authorities at the hospital. Upon reception of those clinical records, that was in upwards of 3000, they were split into batches of 1000, in order to make the sampling process more manageable. Given the large number of patient files, it was feasible to use a systematic random sampling. With this technique, a sampling interval was calculated, so as to determine the skip (K), that will have to be observed, while sampling patient files, in each of the piles of 1000 that was organized. The sampling interval was calculated using the formula; K = N/n, where; K = Sampling interval N = Target sample size at facility n = Sample size The formula yielded an interval of; K = 3672 / 375 = 9.7 ≈ 10 Following the calculation of the sampling interval, the principal investigator started the sampling process with any of the piles of patient records, in which the first file (on top of the pile) was made the starting point, following which the interval (skip) of 10 was observed and the next file sampled. That process was continued until 203 patients are sampled. The sampled files were each screened for eligibility, and any file found to be illegible was replaced immediately. 2.0 Data Collection With the justification for the choice of a retrospective chart review design, the study did not have to rely on patient interviews. Therefore, the fact that the study had to rely on secondary patient data, the data collection method of choice for this study had to be medical record abstraction (MRA). With medical record abstraction, direct matching of information in a given patients record, with the entry required on the data abstraction form was made . The data abstraction form was designed in a structured manner that is, with close-ended items that later made it easier to quantify and come up with inferences.