Qualitative data for: "The landscape of validation of global maternal and newborn health indicators through key informant interviews"

Benova, L, Moller, A and Moran, AC (2019). Qualitative data for: "The landscape of validation of global maternal and newborn health indicators through key informant interviews". [Dataset]. London School of Hygiene & Tropical Medicine, London, United Kingdom. 10.17037/DATA.00001403.
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Anonymised notes recorded when performing semi-structured interviews with 32 respondents, considered to be experts on the five types of maternal and newborn indicators (health system and input, care access and availability, quality of care and safety, coverage and outcomes, as well as impact). We included experts in both qualitative and quantitative methods to assess indicator validity. This work was commissioned by the Mother and Newborn Information for Tracking Outcomes and Results Technical Advisory Group (MoNITOR), which functions as a Technical Advisory body to the World Health Organization on matters of measurement, metrics, and monitoring of maternal and newborn health for the Departments of Maternal, Newborn, Child and Adolescent Health and Reproductive Health and Research.

Keywords

Maternal health, Newborn health, MoNITOR, World Health Organization

Item Type Dataset
Description of data capture Interviews were conducted during face-to-face meetings (six) or by telephone/Skype calls (25) between December 2017 and November 2018 and ranged between 45 and 90 minutes. Each respondent was interviewed once. Interviews were conducted in English, guided by a semi-structured interview guide (Appendix 1). The interview guide was pre-tested on the first five respondents and modified. The interviews were not recorded. Detailed notes were taken in shorthand during the interviews, transcribed and expanded immediately following the interview. Following each interview, further written materials and publications that were referred to by respondents were exchanged through email correspondence with several respondents.
Capture method Interview: Face-to-face - CAPI, Interview: Telephone - CATI
Collection Period
From
To
December 2017
November 2018
Date 22 October 2019
Language(s) of written materials English
Creator(s) Benova, L, Moller, A and Moran, AC
LSHTM Faculty/Department Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023)
Research Centre Centre for Maternal, Reproductive and Child Health (MARCH)
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom
Funders
Project
Funder
Grant Number
Funder URI
The landscape of validation of global maternal and newborn health indicators through key informant interviews
Bill and Melinda Gates Foundation
OPP1133340
http://dx.doi.org/10.13039/100000865
Date Deposited 22 Oct 2019 11:19
Last Modified 23 Feb 2023 11:20
Publisher London School of Hygiene & Tropical Medicine

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Anonymised interview notes that explore landscape of validation of global maternal and newborn health indicators
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