A combination sampling approach for epidemiologic research in humanitarian settings: a case analysis of a study of depressive disorder prevalence among refugees in Greece

BACKGROUND

Understanding the burden of common mental health disorders, such as depressive disorder, is the first step in strengthening prevention and treatment in humanitarian emergencies. However, simple random sampling methods may lead to a high risk of coercion in settings characterized by a lack of distinction between researchers and aid organizations, mistrust, privacy concerns, and the overarching power differential between researchers and populations affected by crises. This case analysis describes a sampling approach developed for a survey study of depressive disorder in a Syrian refugee camp in Greece (n = 135).

DISCUSSION

Syrian refugees face an extraordinarily high burden of depressive disorder during the asylum process (43%), necessitating population screening, prevention, and treatment. In order to preserve the informed consent process in this refugee camp setting, the research team developed a two-phase sampling strategy using a map depicting the geographical layout of the housing units within the camp. In the first phase, camp management announced a research study was being undertaken and individuals were invited to volunteer to participate. The participants' container (housing) numbers were recorded on the map, but were not linked to the survey data. Then, in the second phase, the camp map was used for complementary sampling to reach a sample sufficient for statistical analysis. As a result of the two phases of the sampling exercise, all eligible adults from half the containers in each block were recruited, producing a systematic, age- and sex-representative sample.

CONCLUSIONS

Combining sampling procedures in humanitarian emergencies can reduce the risk of coerced consent and bias by allowing participants to approach researchers in the first phase, with a second phase of sampling conducted to recruit a systematic sample. This case analysis illuminates the feasibility of a two-phase sampling approach for drawing a quasi-random, representative sample in a refugee camp setting.

Community engagement and building trust to resolve ethical challenges during humanitarian crises: experience from the CAGED study

Background

According to the Internal Displacement Monitoring Centre report on global human displacement, Ethiopia has the highest number of newly displaced people forced to flee their homes. Displaced people have arrived in other regions, sometimes leading to conflict. Several regions in Ethiopia experience on-going ethnic tensions and violence between tribes, which leaves smallholder farmers suspicious of any outside activities in their locale, assuming other ethnic groups may harm them. Changes in the central Ethiopian government have also led to suspicion of non-local agencies. The Campylobacter Genomics and Enteric Dysfunction (CAGED) research project's objective is to improve the incomes, livelihoods and nutrition of smallholder farmers and was conducted during this period of increasing violence. The project aims to assess the impact of reducing exposure to chicken excreta on young children's gut health and growth. This paper does not report empirical findings from CAGED, but is part of a series that aims to identify challenges in humanitarian research and reports on mitigation strategies during this research.

Discussion

This research is important to determine whether Campylobacter infection in chicken's contributes to illness and stunting in children. However, violence against other researchers in different parts of Ethiopia led to mistrust and lack of engagement by the community with the researchers. Some reactions were so hostile that the team was fearful about returning to some households. As a result, the team designed strategies to respond, including establishing two types of community advisory boards. One used pre-existing village elder structures and another was composed of village youth. Data collection team members received training in principles of ethics, consent, and crisis management, and were provided on-going support from local and international principal investigators and the study's ethics advisor.

Conclusion

The hostility and mistrust led to fear among the data collectors. These and the resulting strategies to address them resulted in delays for the research. However, the interventions taken resulted in successful completion of the field activities. Moreover, the lessons learned from this project are already being implemented with other projects being conducted in various parts of Ethiopia.

Using digital health to enable ethical health research in conflict and other humanitarian settings

Conducting research in a humanitarian setting requires quantifiable quality measures to ensure ethical study conduct. Digital health technologies are proven to improve research study quality and efficacy via automated data collection, improvement of data reliability, fidelity and resilience and by improved data provenance and traceability. Additionally, digital health methodologies can improve patient identity, patient privacy, study transparency, data sharing, competent informed consent, and the confidentiality and security of humanitarian operations. It can seem counterintuitive to press forward aggressively with digital technologies at a time of heightened population vulnerability and cyber security concerns, but new approaches are essential to meet the rapidly increasing demands of humanitarian research. In this paper we present the case for the digital modernization of humanitarian research in conflict and other humanitarian settings as a vehicle for improved research quality and ethics.