Cricket farming can have a positive impact on rural development and rural economy in low- and middle-income countries. Moreover, crickets have the potential to address food and nutrition insecurity and promote food sovereignty through the promotion of local production and consumption. This paper presents and discusses five complementary studies conducted in Thailand, Cambodia, Lao People's Democratic Republic (Lao PDR), the Democratic Republic of the Congo (DRC) and Kenya. Cricket farming is being promoted in these countries under research projects, public-private partnerships, NGOs and international organisations. In the majority of the countries, cricket farming is still in its infancy and research into how to improve cricket farming systems is still on-going. Cricket farming in Cambodia, Lao PDR, DRC and Kenya remains relatively limited, and many farmers are still a part of pilot projects. In each of the five regions, different cricket species have been a part of traditional diets. As discussed in this paper, many of the potential benefits of the production and consumption of crickets have not yet been realised in many cases due to: (1) lack of adequate support and awareness from stakeholders (especially government agencies); (2) unknown trade volumes; (3) high costs of inputs; and (4) cultural taboos. The information presented in this paper will be especially useful to stakeholders from governmental institutions, non-governmental organisations, civil society organisations and research institutions.
Purpose
The study investigates whether postoperative complications in elective surgery can be reduced by using a risk calculator via raising the awareness of the surgeon in a preoperative briefing. Postoperative complications like wound infections or pneumonia result in a high burden for healthcare systems. Multiple quality improvement programs address this problem like the ACS NSQIP Surgical Risk Calculator® (SRC).
Methods
To determine whether the preoperative usage of the SRC could reduce inpatient postoperative complications, two groups of 832 patients each were compared using propensity score matching. The SRC was employed retrospectively in the period 2012/2013 in one group (“Retro”) and prospectively in the other group (“Prosp”) in the period 2014/2015. Actual inpatient postoperative complications were classified by SRC complication categories and compared with the Clavien–Dindo complication classification system (Dindo et al. in Ann Surg 240:205–213, 2004).
Results
Comparing SRC “serious complication” and SRC “any complication,” a nonsignificant increase in the “Prosp”‐group was apparent (serious complication: 6.6% vs. 8.5%, p = 0.164; any complication: 8.5% vs. 9.7%, p = 0.444).
Conclusion
Use of the SRC neither reduces inpatient postoperative complications nor the severity of complications. The calculations of the SRC rely on a 30‐day postoperative follow‐up. Poor sensitivity and medium specificity of the SRC showed that the SRC could not make accurate predictions in a short follow‐up time averaging 6 days. Alternatively, since the observed complication rate was low in our study, in an environment of already highly implemented risk management tools, reductions in complications are not easily achieved.
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