H-DAV NDMC EPHI

Ethiopia 2019 Cross-Sectional HQFQ Survey


Description
Id EPHI-DS0423
Name Ethiopia 2019 Cross-Sectional HQFQ Survey
Format .dta
Coverage Location National
Coverage Sex Not applicable
Abstract

Performance Monitoring for Action Ethiopia (PMA Ethiopia) builds on the previous success of the PMA2020/Ethiopia and PMA Maternal and Newborn Health study in the Southern Nations, Nationalities, and Peoples Region (SNNP). PMA Ethiopia is a five-year project implemented in collaboration with Addis Ababa University, Johns Hopkins University, and the Federal Ministry of Health. It measures key reproductive, maternal, and newborn health (RMNH) indicators.

Cross-sectional data, including a health facility-based survey, are collected annually in all regions. Longitudinal data (following pregnant women through one year postpartum) are collected in two cohorts of women (2019-2021 and 2021-2023) in four large, predominantly agrarian regions: Tigray, Oromiya, Amhara, and Southern Nations, Nationalities, and Peoples’ Region, and one urban region, Addis Ababa. Afar is included in the first cohort (2019-2021) of the longitudinal survey.

PMAET 2019 Cross-sectional survey used a two-stage cluster design with urban-rural, and major regions as strata. A total of 265 enumeration areas (EAs) were selected from the master sample frame of the Central Statistical Agency. A cross-section of 35 households is randomly selected from within each enumeration area. All women aged 15–49-years old in the selected households are eligible for the cross-sectional survey. A total of 9,108 households (98.4%) and 8,837 women (98.5%) completed the cross-sectional survey. Data collection was conducted between September and December 2019.  For more information on the PMA survey methodology and sampling, please refer to PMA Survey Methodology at https://www.pmadata.org/data/survey-methodology.

PMA-Ethiopia analyses include only observations from completed household interviews. The female sample includes only completed female interviews from completed households. The majority of indicators include only de facto women (women who slept in the household the night before). All observations, however, are included in the dataset to allow end-users to calculate response rates. For more information on PMA’s analytical approach, please refer to PMA Analytical Handbook available at https://www.pmadata.org/data/survey-methodology.

Additional Material No
Keywords
  • Family Planning
  • Contraception
  • Maternal & Newborn Health
  • Household and Female
  • Survey Research
  • Ethiopia
Recommended Yes
Location
Cleaned Yes
Cleaned Format .dta
RawFormat .xlsx
Comment
Remark
Note
Treatment
Date Data Collection Started 2019-09-02
Date Data Collection End 2019-12-25
Title Ethiopia 2019 Cross-sectional HQFQ Survey
Data Type Survey
PublicationYear 2020
SugestedCitation

Addis Ababa University School of Public Health; and the Bill & Melinda Gates Institute for Population and Reproductive Health at the Johns Hopkins Bloomberg School of Public Health. Performance Monitoring for Action Ethiopia (PMA-ET) Panel: Cohort 1 Six-Week Follow-up Survey (Version 2.0), PMA2020/ET-C1-6wkFU. 2020. Ethiopia and Baltimore, Maryland, USA. https://doi.org/10.34976/8r5s-dx31

OtherIdType
Description

Ethiopia 2019 Cross-sectional Household and Female (HQFQ) survey used a two-stage cluster design with urban-rural, major regions as strata. A total of 265 enumeration areas (EAs) were selected from the master sample frame of the Central Statistical Agency. A cross-section of 35 households is randomly selected from within each enumeration area. All women aged 15–49-years old in the selected households are eligible for the cross-sectional survey. A total of 9,108 households (98.4%) and 8,837 women (98.5%) completed the cross-sectional survey. Data collection was conducted between September and December 2019.

Dataset study design Cross-sectional survey
Date Data Archived 2022-05-17
Date Data Cataloged 2022-05-18
Data Generating Unit Others
URL https://rtds.ephi.gov.et/public/showdetail/423

Tags
Published

Open Access