Study setting
The study was conducted in the directorate of surgical services at Mulago National Referral Hospital. This directorate offers majorly inpatient services specializing in surgeries. General surgeries include; neurology, urology, breast and endocrine, colo-rectal, ophthalmology, anesthesia, rhinology and ENT, pediatric surgery, organ transplant, intensive care unit, respiratory, and allergy. The surgery directorate carries out 726 surgeries quarterly, and 80% of the patients are prescribed ceftriaxone post-operatively (hospital monthly reports).
Study design and population
This was a cross-sectional study; and collected only quantitative data. We administered questionnaires to caretakers of 443 postoperative patients, 18 years and older in Uganda, who had sought care from August to November 2023; and had been prescribed ceftriaxone for at least 3 days, after surgery. This is taken for at least three days because this is when a reasonable effect of antibiotics on any infection can be observed. Patients without caretakers were excluded.
Sample size and sampling procedure
We used the Kish-Leslie formula for a single proportion to calculate a sample size of 443, with a precision of 5%, a proportion of suboptimal access of 6% (pilot study), Zα/2- the standard normal value corresponding to 95% level of confidence (1.96), and 10% missing data. For factors associated, we used the formula for two proportions, with a Zβ-standard normal value corresponding to an 80% power of 0.84. The proportion of female participants who had suboptimal access to ceftriaxone, P1 was 0.5. The proportion of male patients who had suboptimal access to ceftriaxone, P2 was 0.6 [7].
Patient files were systematically sampled using a sampling interval of six (obtained by dividing the total expected population over the study period by sample size). The selected file was checked to identify if the patient was being treated with ceftriaxone after the operation. The patient caretaker was then approached to obtain informed consent, and he/she was asked questions about access to ceftriaxone in the hospital pharmacies; while recording answers in the questionnaires. The researchers checked the filled questionnaires for completion and then kept them for data entry. Data was abstracted from patient files and these were then kept for data entry. For factors associated, we collected data on; age, sex, education level, employment status, monthly income, drug availability, health worker availability, and health worker adequacy. The consent rate for caregivers was 95%.
Outcome measurement
Optimal access to medicine in the study was a state where a patient received 100% of the prescribed ceftriaxone vials for post-operative days from the hospital pharmacy. Suboptimal access to medicine was thus the state where a patient received less than 100% of the prescribed amount of ceftriaxone vails for all postoperative days, from the hospital pharmacy, measured using self-reports. This was measured using a question; did you receive ceftriaxone from the hospital pharmacies, with Yes or No responses? A question about vials received followed; how many vials/bottles did you receive from the hospital pharmacy? Access was measured using self-reports for at least the last three postoperative days. Access was obtained by getting the percentage of the number of vials of ceftriaxone obtained from the hospital pharmacy, out of the total vials prescribed postoperatively.
Data management and analysis
Data obtained from questionnaires were cross-checked for omissions, completeness, and errors, and coded before being double-entered in Epidata, which was password-protected. It was then exported to the STATA version 14 statistical software package for analysis.
We summarized continuous variables as median and interquartile ranges; and categorical variables into frequencies and percentages with a 95% confidence interval for suboptimal access. Bivariate analysis was carried out for all variables using modified Poisson regression with robust standard errors. A cut-off of 0.2 was used to get variables for multivariable analysis. Prior knowledge from published literature was used to include other variables that are associated with suboptimal access but had a p-value greater than 0.2 in the data. Variables included in multivariable analysis included; age, education level, employment status, monthly income, drug availability, health worker availability, and health worker adequacy. Multivariable modified Poisson regression was employed at a 5% level of significance, and an assessment of interaction was done using the likelihood ratio test. Confounding was assessed using a change in prevalence ratio >10%, to establish if there were any variables confounding others in the final model. The factors independently associated with suboptimal access to ceftriaxone were established.