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BackgroundChildbirth is one of the most painful experiences of a woman’s life. Authorities in the fields of obstetrics and anaesthesia encourage use of labour analgesia. Unlike in high-income countries, pain relief in labour in Africa is not a well established service, especially in the low-income countries like Uganda. Little is known about whether parturients would be amenable to labour analgesia. We sought to determine knowledge, attitudes and use of labour analgesia among women attending the antenatal clinic at Mulago National Referral Hospital.MethodsUpon obtaining institutional approval, we conducted a cross-sectional descriptive study. Women were requested to complete the researcher-administered survey following informed consent. The study was conducted in the general antenatal clinic at the Mulago National Referral Hospital.ResultsOf 1293 participants interviewed, only 7 % of the participants had knowledge of labour analgesia. Of the multiparous mothers 87.9 % did not have labour analgesia in their previous deliveries, although 79.2 % of them had delivered in a national referral hospital. The commonest reason for refusal of labour analgesia was to experience natural childbirth. 87.7 % of the participants wanted labour analgesia for their next delivery.ConclusionThere is a wide gap between the desire for labour analgesia and its availability. Obstetricians and anaesthesiologists have a role to educate the women, and to provide this much desired service.

BackgroundThere is little information about the current management of pain after obstetric surgery at Mulago hospital in Uganda, one of the largest hospitals in Africa with approximately 32,000 deliveries per year. The primary goal of this study was to assess the severity of post cesarean section pain. Secondary objectives were to identify analgesic medications used to control post cesarean section pain and resultant patient satisfaction.MethodsWe prospectively followed 333 women who underwent cesarean section under spinal anesthesia. Subjective assessment of the participants’ pain was done using the Visual Analogue Scale (0 to 100) at 0, 6 and 24 h after surgery. Satisfaction with pain control was ascertained at 24 h after surgery using a 2-point scale (yes/no). Participants’ charts were reviewed for records of analgesics administered.ResultsPain control medications used in the first 24 h following cesarean section at this hospital included diclofenac only, pethidine only, tramadol only and multiple pain medications. There were mothers who did not receive any analgesic medication. The highest pain scores were reported at 6 h (median: 37; (IQR:37.5). 68% of participants reported they were satisfied with their pain control.ConclusionAdequate management of post-cesarean section pain remains a challenge at Mulago hospital. Greater inter-professional collaboration, self-administered analgesia, scheduled prescription orders and increasing availability of analgesic drugs may contribute to improved treatment of postoperative pain with better pain scores.

Background: The African Surgical Outcomes Study (ASOS) showed that surgical patients in Africa have a mortality twice the global average. Existing risk assessment tools are not valid for use in this population because the pattern of risk for poor outcomes differs from high-income countries. The objective of this study was to derive and validate a simple, preoperative risk stratification tool to identify African surgical patients at risk for in-hospital postoperative mortality and severe complications. Methods: ASOS was a 7-day prospective cohort study of adult patients undergoing surgery in Africa. The ASOS Surgical Risk Calculator was constructed with a multivariable logistic regression model for the outcome of in-hospital mortality and severe postoperative complications. The following preoperative risk factors were entered into the model; age, sex, smoking status, ASA physical status, preoperative chronic comorbid conditions, indication for surgery, urgency, severity, and type of surgery. Results: The model was derived from 8799 patients from 168 African hospitals. The composite outcome of severe postoperative complications and death occurred in 423/8799 (4.8%) patients. The ASOS Surgical Risk Calculator includes the following risk factors: age, ASA physical status, indication for surgery, urgency, severity, and type of surgery. The model showed good discrimination with an area under the receiver operating characteristic curve of 0.805 and good calibration with c-statistic corrected for optimism of 0.784. Conclusions: This simple preoperative risk calculator could be used to identify high-risk surgical patients in African hospitals and facilitate increased postoperative surveillance. Clinical trial registration: NCT03044899.