Social protection and resilience: The case of the productive safety net program in Ethiopia

Improving household resilience is becoming one of the key focus and target of social protection programs in Africa. However, there is surprisingly little direct evidence of the impacts of social protection programs on household resilience measures. We use five rounds of panel data to examine rural households’ resilience outcomes associated with participation in Ethiopia’s Productive Safety Nets Program (PSNP). Following Cissé and Barrett (2018), we employ a probabilistic moment-based approach for measuring resilience and evaluate the role of PSNP transfers and duration of participation on households’ resilience. We document four important findings. First, although PSNP transfers are positively associated with resilience, PSNP transfers below the median are less likely to generate meaningful improvements in resilience. Second, continuous participation in the PSNP is associated with higher resilience. Third, combining safety nets with income generating or asset building initiatives may be particularly efficacious at building poor households’ resilience. Fourth, our evaluation of both short-term welfare (consumption) and longer-term outcomes (resilience) suggests that these outcomes are likely to be driven by different factors, suggesting that optimizing intervention designs for improving short term welfare impacts may not necessarily improve households’ resilience, and vice versa. Together, our findings imply that effectively boosting household resilience may require significant transfers over multiple years. National safety nets programs that transfer small amounts to beneficiaries over limited time horizons may not be very effective

Adequacy of Cancer-Related Pain Treatments and Factors Affecting Proper Management in Ayder Comprehensive Specialized Hospital, Mekelle, Ethiopia

Background. Cancer-related pain (CRP) is a major problem with a potential negative impact on quality of life of the patients and their caregivers. Purpose. To assess the adequacy of cancer-related pain management in Ayder Comprehensive Specialized Hospital (ACSH). Methodology. A facility-based cross-sectional study design was conducted in ACSH from January to March 2019. A well-structured professional-assisted questionnaire using Brief Pain Inventory-Short Form (BPI-SF) was used to collect data concerning the severity of pain, functioning interference, and adequacy of pain management in cancer patients. Data were analyzed using SPSS v.21. Result. Out of 91 participants, 47 (51.6%) were male and 52 (57.1%) were between the age group of 18–45, with the mean age of 44.8 ± 13.6 years. According to the pain assessment tool (BPI), 85 (93.4%) patients experienced pain and 90 (98.9%) patients had activity interference; negative pain management index (PMI) was observed in 40 (43.95%) patients, showing that 43.95% were receiving inadequate pain management. Out of 38 patients who received no analgesics, 35.2% were found to have inadequate pain management, whereas those who took strong opioids had 100% effective pain management and the majority of the patients were in stage III. Among 38 (41.76%) only 20 (52.63%) received adequate pain management, based on patients’ self-report in which 18.7% of the participants stated that they got 30% pain relief and only 1.1% got 90% relief. The predictors of undertreatment were presence of severe pain, metastasis, comorbidity, and stage of the cancer and could also be due to the educational level and monthly income, as evidenced by significant association. Conclusion. This study suggests that cancer pain management in ACSH was sufficient for only 56%. However, large numbers of individuals are suffering from a manageable pain. Hence, remedial action should be taken, including increasing awareness of symptom management in medical staff and incorporating existing knowledge into routine clinical practice

Access to food markets.

Access to food markets.</p

Spatial distribution of battles before and after the outbreak of the war.

Source: Authors’ compilation based on ACLED data. The shapefile for Fig 1 was obtained from ArcGIS Hub. The shapefile is public domain and can be used freely.</p

The impact of violent conflict on households’ access to food markets; difference-in-difference models.

The impact of violent conflict on households’ access to food markets; difference-in-difference models.</p

The Impact of violent conflict on households’ access to health and WASH services: Impact heterogeneity across communities with and without health facilities, and across rural and urban areas.

The Impact of violent conflict on households’ access to health and WASH services: Impact heterogeneity across communities with and without health facilities, and across rural and urban areas.</p

Households’ access to health services.

Households’ access to health services.</p

Summary of households’ access to health services, food markets, and WASH, all survey rounds.

Summary of households’ access to health services, food markets, and WASH, all survey rounds.</p