Abstract

BackgroundHumanitarian agencies working in refugee camp settings require rapid assessment methods to measure the needs of the populations they serve. Due to the high level of dependency of refugees, agencies need to carry out these assessments. Lot Quality Assurance Sampling (LQAS) is a method commonly used in development settings to assess populations living in a project catchment area to identify their greatest needs. LQAS could be well suited to serve the needs of refugee populations, but it has rarely been used in humanitarian settings. We adapted and implemented an LQAS survey design in Batil refugee camp, South Sudan in May 2013 to measure the added value of using it for sub-camp level assessment.MethodsUsing pre-existing divisions within the camp, we divided the Batil catchment area into six contiguous segments, called ‘supervision areas’ (SA). Six teams of two data collectors randomly selected 19 respondents in each SA, who they interviewed to collect information on water, sanitation, hygiene, and diarrhoea prevalence. These findings were aggregated into a stratified random sample of 114 respondents, and the results were analysed to produce a coverage estimate with 95% confidence interval for the camp and to prioritize SAs within the camp.ResultsThe survey provided coverage estimates on WASH indicators as well as evidence that areas of the camp closer to the main road, to clinics and to the market were better served than areas at the periphery of the camp. This assumption did not hold for all services, however, as sanitation services were uniformly high regardless of location. While it was necessary to adapt the standard LQAS protocol used in low-resource communities, the LQAS model proved to be feasible in a refugee camp setting, and program managers found the results useful at both the catchment area and SA level.ConclusionsThis study, one of the few adaptations of LQAS for a camp setting, shows that it is a feasible method for regular monitoring, with the added value of enabling camp managers to identify and advocate for the least served areas within the camp. Feedback on the results from stakeholders was overwhelmingly positive.

Highlights

  • Humanitarian agencies working in refugee camp settings require rapid assessment methods to measure the needs of the populations they serve

  • Catchment area level results Our results revealed that 97.3% of camp respondents had access to water from an improved source, but in the 2 weeks preceding the survey, water supply had been uninterupted for 57.0% of respondents

  • Results for hygiene indicators revealed that 45.2% of all households possessed their own Ibrik, and 51.1% could produce at least one piece of soap when asked

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Summary

Introduction

Humanitarian agencies working in refugee camp settings require rapid assessment methods to measure the needs of the populations they serve. Lot Quality Assurance Sampling (LQAS) is a method commonly used in development settings to assess populations living in a project catchment area to identify their greatest needs. After the immediate emergency response phase is over, cross-sectional surveys using probability sampling are recommended to guide service delivery, planning and management because early rapid epidemiological assessments can save lives [5, 6]. Cluster surveys have been a commonly used method [7] They require specialist skills to be conducted accurately, in particular for calculating the ‘design’ effect or the effect the cluster design has on statistical power [8]. A survey methodology which can make inferences both for the surveyed area and for sub-regions within the surveyed area has the potential to provide information on how equitably resources are distributed within a refugee population

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