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Protocol for PMA-Ethiopia: A new data source for cross-sectional and longitudinal data of reproductive, maternal, and newborn health.
Zimmerman, Linnea; Desta, Selam; Yihdego, Mahari; Rogers, Ann; Amogne, Ayanaw; Karp, Celia; Wood, Shannon N; Creanga, Andreea; Ahmed, Saifuddin; Seme, Assefa; Shiferaw, Solomon.
  • Zimmerman L; Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 2105, USA.
  • Desta S; Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 2105, USA.
  • Yihdego M; PMA-Ethiopia, Addis Ababa University, Addis Ababa, Ethiopia.
  • Rogers A; Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 2105, USA.
  • Amogne A; PMA-Ethiopia, Addis Ababa University, Addis Ababa, Ethiopia.
  • Karp C; Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 2105, USA.
  • Wood SN; Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 2105, USA.
  • Creanga A; Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 2105, USA.
  • Ahmed S; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
  • Seme A; Department of Gynecology and Obstetrics, Johns Hopkins Medicine, Baltimore, MD, 21205, USA.
  • Shiferaw S; Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 2105, USA.
Gates Open Res ; 4: 126, 2020.
Article in English | MEDLINE | ID: covidwho-1835875
ABSTRACT

Background:

Performance Monitoring for Action Ethiopia (PMA-Ethiopia) is a survey project that builds on the PMA2020 and PMA Maternal and Newborn Health projects to generate timely and actionable data on a range of reproductive, maternal, and newborn health (RMNH) indicators using a combination of cross-sectional and longitudinal data collection

Objectives:

 This manuscript 1) describes the protocol for PMA- Ethiopia, and 2) describes the measures included in PMA Ethiopia and research areas that may be of interest to RMNH stakeholders.

Methods:

Annual data on family planning are gathered from a nationally representative, cross-sectional survey of women age 15-49. Data on maternal and newborn health are gathered from a cohort of women who were pregnant or recently postpartum at the time of enrollment. Women are followed at 6-weeks, 6-months, and 1-year to understand health seeking behavior, utilization, and quality. Data from service delivery points (SDPs) are gathered annually to assess service quality and availability.  Households and SDPs can be linked at the enumeration area level to improve estimates of effective coverage.

Discussion:

Data from PMA-Ethiopia will be available at www.pmadata.org.  PMA-Ethiopia is a unique data source that includes multiple, simultaneously fielded data collection activities.  Data are available partner dynamics, experience with contraceptive use, unintended pregnancy, empowerment, and detailed information on components of services that are not available from other large-scale surveys. Additionally, we highlight the unique contribution of PMA Ethiopia data in assessing the impact of coronavirus disease 2019 (COVID-19) on RMNH.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Gates Open Res Year: 2020 Document Type: Article Affiliation country: Gatesopenres.13161.1

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Gates Open Res Year: 2020 Document Type: Article Affiliation country: Gatesopenres.13161.1