Hello,
I am supporting partners with assessing the coverage of OTP and TSFP in the Rohingya camps in Cox's Bazar, Bangladesh.

In August 2018, the camps (35 in total) were divided into 5 zones and a SLEAC assessment was conducted in each zone. This provided coverage classifications for OTP and coverage estimates for TSFP per zone and overall coverage estimates for all camps along with some barrier and booster information based on the responses provided by carers of cases. A qualitative investigation was also conducted in parallel with Rohingya community members to gather information about community perceptions of malnutrition and about the nutrition services available.

Partners are planning another coverage assessment in the camps in 2019. However they would like to follow a different methodology which yields more detailed qualitative information which can help improve CMAM service delivery, in addition to providing updated coverage estimates or classifications (if possible disaggregated to camp level).

Given the context and above objectives, partners are reluctant to do another SLEAC.
However I have reservations about conducting a SQUEAC in this context (or even a number of SQUEACs) which would be the logical methodology to use to achieve such objectives. So I would like to ask if anyone recommends other methods or approaches? Or if anyone has learnings from similar experiences to share?

Context: There are 35 camps which include 35 TSFPs (operated by 8 partners) and 60 OTPs (operated by 6 partners). Single camps will often have multiple partners delivering SAM treatment through OTPs. Community outreach is conducted by teams associated to each individual organisation. For both programmes, admission is by MUAC, Oedema and/or WFH. During community screening, all children with a MUAC of less than 135mm are referred to centres for full WFH measurement.

There is sufficient budget for 12 data collection teams to conduct approximately 15 days of data collection to complete the assessment objectives.

My primary reservation with SQUEAC is that considering the variation in service delivery between partners (particularly the community outreach strategy), it would be difficult for a survey team to formulate a prior belief of coverage in a specific area. The barriers and boosters list would also be relevant for the area surveyed and not necessarily for the individual service providers. Therefore developing recommendations for individual service providers to improve coverage would be difficult.

Also owing to the time that a single SQUEAC survey takes to complete it would be possible to complete a maximum of three SQUEACs (in parallel) during the allocated time therefore limiting the disaggregation of data to maximum of three areas.

So, does anyone have any ideas of alternative methodologies to use? Or ideas of how partners could adapt the SQUEAC/SLEAC to achieve the aims?

Thanks in advance,
Hugh