Work Description

Title: Mixed method dataset of a countrywide multi-sector scale-up of Maternity Waiting Homes in Liberia Open Access Deposited

h
Attribute Value
Methodology
  • Data were collected from a national sample of 119 MWHs in Liberia established between 2010-2018. The study used a mixed method design that included focus group discussions, individual interviews, logbook reviews, and geographic information systems. Additionally, each MWH was geo-located for purposes of geo-visualization.
Description
  • This study used a convergent parallel mixed methods design that included qualitative data in the form of focus group discussions (FGDs), individual interviews, quantitative data retrieved from logbook reviews, and geo-location data collected through geographic information systems (GIS). Focus group discussions were conducted with community members, including chiefs, community leaders, women of reproductive age, traditional birth attendants (TBAs), women currently staying at a MWH, and male partners. Individual interviews were conducted with healthcare providers (midwives, registered nurses, and officers in charge) providing services at the rural primary healthcare facilities associated with a MWH. Logbook registries at rural health facilities with a MWH were reviewed to capture MWH usage. Additionally, each MWH was geo-located for purposes of geo-visualization.
Creator
Depositor
  • nalockha@umich.edu
Contact information
Discipline
Funding agency
  • Other Funding Agency
Other Funding agency
  • The Bill & Melinda Gates Foundation
ORSP grant number
  • N023584
Keyword
Date coverage
  • 2017-12 to 2018-06
Citations to related material
  • James, K.H., Perosky, J.E., McLean, K. et al. Protocol for geolocating rural villages of women in Liberia utilizing a maternity waiting home. BMC Res Notes 12, 196 (2019). https://doi.org/10.1186/s13104-019-4224-1
  • Coley, KM, Perosky, JE, Nyanplu, A, et al. Acceptability and feasibility of insect consumption among pregnant women in Liberia. Matern Child Nutr. 2020; 16:e12990. https://doi.org/10.1111/mcn.12990
Resource type
Last modified
  • 11/19/2022
Published
  • 06/16/2020
Language
DOI
  • https://doi.org/10.7302/vs47-p951
License
To Cite this Work:
Lori, J. R., Moyer, C. A., Perosky, J. E., University of Michigan, S. O. N. (2020). Mixed method dataset of a countrywide multi-sector scale-up of Maternity Waiting Homes in Liberia [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/vs47-p951

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Files (Count: 10; Size: 1.34 MB)

Data were collected from a national sample of 119 Maternity Waiting Homes (MWHs) in Liberia established between 2010-2018.
This is a descriptive study for which traditional sample size calculations are not appropriate, and for which purposive sampling of those who have been involved with MWHs and convenience samples of community members are ideal to generate the type of information needed.
Ethical clearance was obtained from Institutional Review Boards at all engaged sites. This includes ethical review boards from the University of Michigan and the University of Liberia.
Informed Consent was obtained before any data were collected.
This study used a convergent parallel mixed methods design that included qualitative data in the form of focus group discussions (FGDs), individual interviews, quantitative data retrieved from logbook reviews, and geo-location data collected through geographic information systems (GIS). Focus group discussions were conducted with community members, including chiefs, community leaders, women of reproductive age, traditional birth attendants (TBAs), women currently staying at a MWH, and male partners. Individual interviews were conducted with healthcare providers (midwives, registered nurses, and officers in charge) providing services at the rural primary healthcare facilities associated with a MWH.
Logbook registries at rural health facilities with a MWH were reviewed to capture MWH usage.
Qualitative data will be analyzed by study personnel for thematic analysis.
Descriptive statistics, bi-variate and multi-variate analyses was conducted with quantitative data

Files included as follows:
Consent form_community_focus groups
Consent form_provider Interviews
Focus group questions_community: Semi-structured guide used to conduct focus groups with community members / consumers (e.g. chiefs, community leaders, women of reproductive age, TBAs, women currently staying at MWH). One focus group per community; 10-15 individuals per group.
Facility ID_Data deidentified and Facility ID codebook:
Focus Group demographic data_deidentified and Focus Group demographic codebook: demographic data were collected on all focus groups and individual interview participants.
Interview HC providers_data deidentified and Interview HC providers codebook: face-to-face interviews conducted with providers at health facilities (quantitative and qualitative data)

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