BACKGROUND: Enhanced recovery after surgery (ERAS) expedites return to patient baseline and functional status by reducing surgical trauma, stress, and organ dysfunction. Despite the potential benefits of enhanced recovery protocols, limited research has been done in low-resource settings, where 95% of cesarean deliveries are emergent and could possibly benefit from the application of ERAS protocols. METHODS: In a prospective, randomized, single-blind, controlled trial, mothers delivering by emergency cesarean delivery were randomly assigned to either an ERAS or a standard of care (SOC) recovery arm. Patients in the ERAS arm were treated with a modified ERAS protocol that included modified counseling and education, prophylactic antibiotics, antiemetics, normothermia, restrictive fluid administration, and multimodal analgesia. They also received early initiation of mobilization, feeding, and urethral catheter removal. The primary end point was length of hospital stay. The secondary end points were complications and readmission rates. Mean length of stay in the intervention and control arms were compared using t tests. Statistical analyses were performed using STATA version 13 (College Station, TX). RESULTS: A total of 160 patients were enrolled in the study, with 80 randomized to each arm. There was a statistically significant shorter length of stay for the ERAS arm compared to SOC, with a difference of −18.5 hours (P < .001, 95% confidence interval [CI], −23.67, −13.34). The incidence of complications of severe pain and headache was lower in the ERAS arm compared to SOC (P = .001 for both complications). However, pruritus was more common in the ERAS arm compared to SOC (P = .023). CONCLUSIONS: Use of an ERAS protocol for women undergoing emergency cesarean delivery in a low-income setting is feasible and reduces length of hospital stay without generally increasing the complication rate.

The study was conducted to determine the role of training design and trainee characteristics in predicting the transfer of agronomic training among bean seed farmers in Uganda. Gender differences in levels of transfer were also studied. Data were from a sample survey of 300 respondents. Independent t-tests and hierarchical multivariate regression were used to answer the specific issues of the study. Results showed transfer was generally high, with women having a significantly higher training transfer than men. Using the Learning Transfer System Inventory (LTSI) model, we identified factors relating to trainee characteristics-motivation to transfer, readiness to learn and performance self-efficacy-that have shown a significant relationship with the transfer of training. We concluded by discussing potential implications for both theory and practice.

As the use of information and communication technologies (ICT) is embraced in Uganda, determinants of awareness of ICT based projects remain unknown. The intensity of use of mobile phones among smallholder farmers in the areas where such projects operate is unclear. To address this knowledge gap, 346 smallholder farmers in two ICT project sites in Mayuge and Apac districts were subjected to econometric analysis using bi-variate logistic and zero-inflated negative binomial regression models to ascertain determinants of projects’ awareness and intensity of use of mobile phones. The authors find that education, distance to input markets, and membership in a group positively influence awareness. The decision to use a mobile phone for agricultural purposes is affected by distance to electricity and land cultivated and negatively influenced by being a member of any farmer group. Lastly, intensity of mobile phone use is affected by age, farming as the major occupation, and distance to an internet facility, being a member of a project, having participated in an agricultural project before, value of assets, size of land cultivated, possession of a mobile phone, and proximity to agricultural offices. The paper discusses policy implications of these findings.

As the use of information and communication technologies (ICT) is embraced in Uganda, determinants of awareness of ICT based projects remain unknown. The intensity of use of mobile phones among smallholder farmers in the areas where such projects operate is unclear. To address this knowledge gap, 346 smallholder farmers in two ICT project sites in Mayuge and Apac districts were subjected to econometric analysis using bi-variate logistic and zero-inflated negative binomial regression models to ascertain determinants of projects’ awareness and intensity of use of mobile phones. The authors find that education, distance to input markets, and membership in a group positively influence awareness. The decision to use a mobile phone for agricultural purposes is affected by distance to electricity and land cultivated and negatively influenced by being a member of any farmer group. Lastly, intensity of mobile phone use is affected by age, farming as the major occupation, and distance to an internet facility, being a member of a project, having participated in an agricultural project before, value of assets, size of land cultivated, possession of a mobile phone, and proximity to agricultural offices. The paper discusses policy implications of these findings.