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    Home / Central Data Catalog / AFG_2015_DHS_V01_M_V01_A_IPUMS / variable [C]
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Demographic and Health Survey 2015 - IPUMS Subset

Afghanistan, 2015
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Reference ID
AFG_2015_DHS_v01_M_v01_A_IPUMS
Producer(s)
Central Statistics Organization (CSO) [Afghanistan], Ministry of Public Health (MoPH) [Afghanistan], and ICF., Minnesota Population Center
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
68516
  • Study Description
  • Data Dictionary
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  • Data files
  • AFG2015-B.dat
  • AFG2015-C.dat
  • AFG2015-H.dat
  • AFG2015-M.dat
  • AFG2015-W.dat

Source of diarrhea treatment: Public hospital (C_DIATRPUBHOS)

Data file: AFG2015-C.dat

Overview

Type: Discrete
Decimal: 0
Start: 1490
End: 1490
Width: 1
Range: -
Format: Numeric

Questions and instructions

Literal question
519. Where did you seek advice or treatment? Anywhere else?

PROBE TO IDENTIFY EACH TYPE OF SOURCE. IF UNABLE TO DETERMINE IF PUBLIC OR PRIVATE SECTOR, WRITE THE NAME OF THE PLACE.

NAME OF PLACE(S)___________________

PUBLIC SECTOR

GOVT. HOSPITAL A
CHC/POLYCLINIC B
BASIC HEALTH CENTER C
HSC D
HP/SHP E
COMM. HEALTH WORKER F
MOBILE CLINIC G
OTHER PUBLIC SECTOR________H

NON-GOVERNMENT

MARIE STOPES I
RED CROSS J
OTHER NGO SECTOR_________K

PRIVATE MEDICAL SECTOR

PVT. HOSPITAL/CLINIC L
PHARMACY M
PVT DOCTOR'S OFFICE N
OTHER PRIVATE MED. SECTOR______O

OTHER SOURCE

CHARITY/FOUNDATIONS P
REFUGEE CAMP Q
SHOP R
TRADITIONAL PRACTITIONER S
MARKET T

OTHER__________X
Categories
Value Category
0 No
1 Yes
8 Missing
9 NIU (not in universe)
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

Description

Definition
For surviving children with diarrhea in the past 2 weeks, DIATRPUBHOS (H12A) indicates, in response to an open-ended question, whether the child received treatment at a public hospital for this illness.

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

concept

Concept
var_concept.title Vocabulary
Place for diarrhea treatment, general Variables -- TOPICS IPUMS
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