Insights into the quantification and reporting of model-related uncertainty across different disciplines.

Quantifying uncertainty associated with our models is the only way we can express how much we know about any phenomenon. Incomplete consideration of model-based uncertainties can lead to overstated conclusions with real-world impacts in diverse spheres, including conservation, epidemiology, climate science, and policy. Despite these potentially damaging consequences, we still know little about how different fields quantify and report uncertainty. We introduce the "sources of uncertainty" framework, using it to conduct a systematic audit of model-related uncertainty quantification from seven scientific fields, spanning the biological, physical, and political sciences. Our interdisciplinary audit shows no field fully considers all possible sources of uncertainty, but each has its own best practices alongside shared outstanding challenges. We make ten easy-to-implement recommendations to improve the consistency, completeness, and clarity of reporting on model-related uncertainty. These recommendations serve as a guide to best practices across scientific fields and expand our toolbox for high-quality research.

Maternal Health Care Among Refugees and Host Communities in Northern Uganda: Access, Quality, and Discrimination.

Introduction: Uganda is one of the largest refugee-hosting nations in the world, with the majority of the refugees having fled South Sudan. In the early 2000's the local government and refugee health systems were merged to create a more equal and integrated system for refugees and the host population. Our aim is to investigate whether mothers from the two groups experience the same access to and quality of maternal health services, and whether refugee- and host-community mothers perceive the maternal health services differently. Methods: In November-December 2019, we conducted a household survey of 1,004 Ugandan nationals and South Sudanese refugee mothers aged 15-49 in the West Nile region covering the districts of Arua, Yumbe, and Adjumani, and elicited information on access to maternal health care services, perceptions of the quality of services, and feelings of discrimination. The data was then analyzed using Ordinary Least Squares and logistic regression. Results: Our analyses do not reveal large differences between refugees and the host community in terms of access to and the quality of maternal health services. Results from bivariate models indicate that refugee mothers are 6% points less likely to receive antenatal care (p-value < 0.05) but are 8% points more likely to give birth at a health facility (p-value < 0.05). Refugee mothers are generally less satisfied with how they were treated during antenatal care (0.132 lower average value on a Likert scale, p-value < 0.01). Refugee mothers are also 4% points more likely to feel discriminated against during ANC compared to their counterparts in the host community (p-value < 0.05). Discussion: The way women feel treated at the health facility during maternal health care is an important aspect of quality care. While there seems to be equal access to resources between refugees and host community mothers in Northern Uganda in terms of access to and quality of care, there is still a discrepancy between the two groups in terms of how the women feel treated. Policymakers and practitioners in the health sector should pay attention to these perceived inequalities between refugees and women from the host communities to ensure equally inclusive treatment across groups.