Home » Countries » Nepal » Nepal DHS 2022 - children's Disability (How to determine number of children with a disability)
Nepal DHS 2022 - children's Disability [message #28665] |
Sat, 17 February 2024 10:54 |
UnseenDisability
Messages: 14 Registered: February 2024
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Member |
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Hello all,
I am new to using DHS data and will do some data analysis for a project using STATA, which I've been learning for a few years but am no expert.
I will do a project using the DHS Nepal 2022 dataset. For my ethics application, I need to know how many children (>5, <18) in the dataset have some degree of hearing loss. I'd like to do a crosstab of the variables ha50 (under age 18) and hdis4 (difficulty hearing) and then separately ha50 and hdis3 (wear hearing aid). I have not otherwise merged any datasets or done any analysis, since I have not received the ethics approval yet. I just need to find out how many children in the dataset suffer from some degree of hearing loss, to determine whether or not I should include data from other DHS surveys (other countries). I am using the NPPR82DT dataset. All of the variables I need to use are in this dataset and none of them are empty, but when I try to crosstab them, I get the error "no observations".
Any ideas? The disability data are not commonly used, and I couldn't find anything in the other forums.
Thanks in advance
S
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Re: Nepal DHS 2022 - children's Disability [message #28712 is a reply to message #28665] |
Wed, 28 February 2024 13:59 |
Janet-DHS
Messages: 855 Registered: April 2022
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Senior Member |
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Following is a response from DHS staff member, Tom Pullum:
Here is the distribution of hdis4, the question about difficulty hearing, in that data file. About 3% of children are reported by the household respondent to have some degree of difficulty. The disability variables are under-used, as you say, and I encourage you to try to work with them. The table below gives weighted frequencies.
. tab hdis4 hv104 if hv105>5 & hv105<18 [iweight=hv005/1000000], col
+-------------------+
| Key |
|-------------------|
| frequency |
| column percentage |
+-------------------+
| sex of household
have difficulty | member
hearing | male female | Total
----------------------+----------------------+----------
no difficulty hearing | 3,281.377 3,280.552 | 6,561.929
| 97.23 97.43 | 97.33
----------------------+----------------------+----------
some difficulty | 77.762576 71.904984 | 149.66756
| 2.30 2.14 | 2.22
----------------------+----------------------+----------
a lot of difficulty | 14.765722 14.205368 | 28.97109
| 0.44 0.42 | 0.43
----------------------+----------------------+----------
cannot hear at all | 1.030425 .42826 | 1.458685
| 0.03 0.01 | 0.02
----------------------+----------------------+----------
Total | 3,374.936 3,367.091 | 6,742.027
| 100.00 100.00 | 100.00
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Re: Nepal DHS 2022 - children's Disability [message #29529 is a reply to message #29527] |
Tue, 02 July 2024 10:55 |
UnseenDisability
Messages: 14 Registered: February 2024
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Member |
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Thank you for your response! I am still a bit baffled, though, because when I look at the same variable in the Pakistan PR file, I get very different output. The following output is only for children aged 5 to 17:
*observe missing values in Nepal PR file (2022) in hdis4
. svy: tabulate hdis4, missing
(running tabulate on estimation sample)
Number of strata = 14 Number of obs = 15,276
Number of PSUs = 476 Population size = 14,646.99
Design df = 462
----------------------
have |
difficult |
y hearing | proportion
----------+-----------
no diffi | .488
some dif | .0107
a lot of | .002
cannot h | 1.0e-04
. | .4992
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Total | 1
----------------------
Key: proportion = Cell proportion
*observe missing values in Pakistan PR file (2017) in hdis4
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. svy: tabulate hdis4, missing
(running tabulate on estimation sample)
Number of strata = 12 Number of obs = 26,738
Number of PSUs = 458 Population size = 25,147.104
Design df = 446
----------------------
have |
difficult |
y hearing | proportion
----------+-----------
no diffi | .9869
some dif | .0082
a lot of | .0024
cannot h | .0012
don't kn | 6.5e-05
. | .0013
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Total | 1
----------------------
Key: proportion = Cell proportion
Note: 4 strata omitted because they contain no population members.
Can you please help me understand why the output for "." is so different? The variables and values seem to otherwise be the same in these two surveys...
Here, I've done the analysis a bit differently (I have recoded hdis4 into hearing disabled or not, and age_cat==2 is children aged 5-17), but hopefully it can be understood as well:
. svy: tabulate survey_id hearing_cat if age_cat==2, percent missing
(running tabulate on estimation sample)
Number of strata = 16 Number of obs = 47,764
Number of PSUs = 1,037 Population size = .570221056
Design df = 1,021
------------------------------------------------------------
| hearing_cat
survey_id | hears no difficul don't kn . Total
----------+-------------------------------------------------
Nepal | 21.92 .5755 0 22.42 44.91
Pakistan | 54.36 .6506 .0036 .0699 55.09
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Total | 76.28 1.226 .0036 22.49 100
------------------------------------------------------------
Key: Cell percentage
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