MAM case-finding effectiveness
Locality Round 1 Round 2 Round 3 Round 4
$$n$$ Estimate 95% LCL 95% UCL $$n$$ Estimate 95% LCL 95% UCL $$n$$ Estimate 95% LCL 95% UCL $$n$$ Estimate 95% LCL 95% UCL
Aroma 34 20.59% 7% 34.18% 67 22.39% 12.41% 32.37% 48 10.42% 1.77% 19.06% 43 13.95% 3.6% 24.31%
Telkuk 56 12.5% 3.84% 21.16% 111 11.71% 5.73% 17.69% 104 27.88% 19.27% 36.5% 70 15.71% 7.19% 24.24%
River Atbara 72 8.33% 1.95% 14.72% 110 2.73% -0.32% 5.77% 41 9.76% 0.67% 18.84% 49 22.45% 10.77% 34.13%
El Girba 53 16.98% 6.87% 27.09% 102 11.76% 5.51% 18.02% 73 15.07% 6.86% 23.28% 58 12.07% 3.69% 20.45%
Rural Kassala 48 10.42% 1.77% 19.06% 38 13.16% 2.41% 23.91% 58 13.79% 4.92% 22.67% 84 11.9% 4.98% 18.83%
Kassala 47 10.64% 1.82% 19.45% 72 12.5% 4.86% 20.14% 61 6.56% 0.35% 12.77% 74 17.57% 8.9% 26.24%
Overall 310 12.22% 8.2% 16.23% 500 9.73% 7.01% 12.45% 385 14.12% 10.22% 18.03% 378 16.69% 12.14% 21.24%

 

MAM case-finding effectiveness (catchment areas)
Locality Round 1 Round 2 Round 3 Round 4
$$n$$ Estimate 95% LCL 95% UCL $$n$$ Estimate 95% LCL 95% UCL $$n$$ Estimate 95% LCL 95% UCL $$n$$ Estimate 95% LCL 95% UCL
Aroma 21 28.57% 9.25% 47.89% 40 17.5% 5.72% 29.28% 36 8.33% -0.7% 17.36% 25 16% 1.63% 30.37%
Telkuk 39 15.38% 4.06% 26.71% 81 13.58% 6.12% 21.04% 73 27.4% 17.17% 37.63% 52 17.31% 7.03% 27.59%
River Atbara 27 11.11% -0.74% 22.97% 30 3.33% -3.09% 9.76% 17 11.76% -3.55% 27.08% 18 16.67% -0.55% 33.88%
El Girba 53 16.98% 6.87% 27.09% 99 12.12% 5.69% 18.55% 67 14.93% 6.39% 23.46% 58 12.07% 3.69% 20.45%
Rural Kassala 16 6.25% -5.61% 18.11% 22 13.64% -0.7% 27.98% 36 22.22% 8.64% 35.8% 34 11.76% 0.93% 22.59%
Kassala 47 10.64% 1.82% 19.45% 72 12.5% 4.86% 20.14% 61 6.56% 0.35% 12.77% 74 17.57% 8.9% 26.24%
Overall 203 13.42% 8.35% 18.49% 344 10.26% 6.96% 13.57% 290 15.01% 9.69% 20.34% 261 15.43% 9.6% 21.27%

 
 

MAM treatment coverage
Locality Round 1 Round 2 Round 3 Round 4
$$n$$ Estimate 95% LCL 95% UCL $$n$$ Estimate 95% LCL 95% UCL $$n$$ Estimate 95% LCL 95% UCL $$n$$ Estimate 95% LCL 95% UCL
Aroma 87 36.78% 26.65% 46.91% 92 29.35% 20.04% 38.65% 61 14.75% 5.85% 23.65% 125 28.8% 20.86% 36.74%
Telkuk 177 26.55% 20.05% 33.06% 157 17.2% 11.29% 23.1% 142 35.21% 27.36% 43.07% 146 27.4% 20.16% 34.63%
River Atbara 237 19.41% 14.37% 24.44% 149 4.7% 1.3% 8.1% 58 15.52% 6.2% 24.84% 67 29.85% 18.89% 40.81%
El Girba 134 31.34% 23.49% 39.2% 161 18.63% 12.62% 24.65% 94 20.21% 12.09% 28.33% 111 21.62% 13.96% 29.28%
Rural Kassala 156 23.72% 17.04% 30.39% 40 15% 3.93% 26.07% 89 21.35% 12.84% 29.86% 207 23.19% 17.44% 28.94%
Kassala 110 21.82% 14.1% 29.54% 130 21.54% 14.47% 28.61% 104 12.5% 6.14% 18.86% 130 27.69% 20% 35.38%
Overall 925 24.97% 21.78% 28.16% 741 15.13% 12.48% 17.78% 544 20.13% 16.24% 24.01% 787 26.37% 22.21% 30.53%

 

MAM treatment coverage (catchment areas)
Locality Round 1 Round 2 Round 3 Round 4
$$n$$ Estimate 95% LCL 95% UCL $$n$$ Estimate 95% LCL 95% UCL $$n$$ Estimate 95% LCL 95% UCL $$n$$ Estimate 95% LCL 95% UCL
Aroma 50 46% 32.19% 59.81% 56 25% 13.66% 36.34% 51 13.73% 4.28% 23.17% 75 33.33% 22.66% 44%
Telkuk 103 30.1% 21.24% 38.96% 122 20.49% 13.33% 27.65% 98 34.69% 25.27% 44.12% 112 30.36% 21.84% 38.87%
River Atbara 90 26.67% 17.53% 35.8% 30 3.33% -3.09% 9.76% 22 18.18% 2.06% 34.3% 29 27.59% 11.32% 43.85%
El Girba 134 31.34% 23.49% 39.2% 153 18.95% 12.74% 25.16% 86 19.77% 11.35% 28.18% 111 21.62% 13.96% 29.28%
Rural Kassala 40 20% 7.6% 32.4% 22 13.64% -0.7% 27.98% 48 29.17% 16.31% 42.03% 76 23.68% 14.13% 33.24%
Kassala 110 21.82% 14.1% 29.54% 130 21.54% 14.47% 28.61% 104 12.5% 6.14% 18.86% 130 27.69% 20% 35.38%
Overall 551 27.57% 23.55% 31.59% 530 15.28% 12.07% 18.48% 402 21.09% 15.65% 26.53% 554 26.42% 21.03% 31.8%

 
 

Coverage trend over time
Barriers to access and service uptake per locality
Round 1

Round 1

Round 2

Round 2

Round 3

Round 3


 

Barriers to access and service uptake – overall


 

Mothers who don’t recognise malnutrition


 

Mothers who don’t know programme that treats malnutrition