We are trying to reproduce the % of children with ARI symptoms that were given antibiotics for Bangladesh 2014 (Table 10.8 in the country report).

We are using the following codes to calculate the results:

** KR dataset **

gen abari=.

replace abari=0 if h31b==1 & inlist(h31c,1,3)

egen byte _abari=anymatch(h32a h32b h32c h32d h32e h32f h32g h32h h32i h32j h32l h32n h32s h32t h32u h32v h32w), v(1)

recode abari (0=1) if _abari==1

svyset v021 [pweight=v005]

svy: prop abari

Survey: Proportion estimation

Number of strata = 1 Number of obs = 406

Number of PSUs = 267 Population size = 416668524

Design df = 266

------------------------------------------------------------ --

| Linearized

| Proportion Std. Err. [95% Conf. Interval]

-------------+---------------------------------------------- --

abari |

0 | .9158814 .0160748 .8783446 .9425932

1 | .0841186 .0160748 .0574068 .1216554

------------------------------------------------------------ --

We found an estimate of 8.4% and a weighted sample size of 417, however the results in the report are 34.2% and sample size is the same (417).

Are we missing antibiotic variables in the code?

Thanks!

Best regards,

Fernanda

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The following code will match the report for prevalence of ARI and for treatment of ARI. However, like you, we (the analysis staff) cannot match the estimate for antibiotics. We are forwarding the question to our Data Processing staff to confirm the number in the report. If you do not hear from us within two weeks, please ask again.

*ari, matches gen ari=0 replace ari=1 if h31b==1 & (h31c==1 | h31c==3) replace ari =. if age>=60 | b5==0 *treatment of ari, matches gen trtari=0 if ari==1 replace trtari=1 if ari==1 & (h32a==1 | h32b==1 | h32c==1 | h32d==1 | h32e==1 | h32f==1 | h32g==1 | h32h==1 | h32i==1 | h32j==1 | h32l==1 | h32n==1 | h32s==1 | h32t==1 | h32u==1 | h32v==1 | h32w==1 ) label var trtari "received treatment for ari" * antibiotics, does not match, I get the correct denominator but the estimate is 8.4% and not 34% as in the final report. gen antibio=0 if ari==1 replace antibio=1 if ari==1 & (s538g==1 | s538h==1 |s538i==1 |s538j==1 |s538k==1 | s538l==1 |s538m==1 )

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Please response anyone from the forum or DHS data processing staff to help us to find this figure.

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