Measurement of inpatient care for small and sick newborns - User Guide

Permanent Identifier


Data Description

A spreadsheet containing results of a global survey to classify 18 newborn care interventions. The survey was aimed at individuals working in maternal and newborn health and completed by 262 respondents located in 61 countries. Linking to emergency obstetric care levels, respondents were asked to rank the level of care they thought appropriate for health systems in Low & Middle Income Countries (LMICs) to provide based upon the following categories: [1] “routine care at birth”, [2] “special care”, [3] “intensive care”, and [4] “not appropriate for any level”. Results are displayed with a tab for each intervention and show variation in respondent characteristics with chi-squared value.

Data Collection Methods

The online survey was implemented using SurveyMonkey, with data collection taking place between November 2016 – November 2017. Participants were recruited using a multi-faceted approach – the survey URL was sent to relevant mailing lists used by people working in maternal and newborn health, it was posted on the ‘Child Health Information For All’ (CHIFA) health discussion forum, and launched at conferences on newborn and maternal health.

Data Analysis and Preparation

We calculated the percentage of respondents that classified each intervention at each level of care and stratified responses to look at variation in respondent characteristics using chi-squared.

Geographic regions

Respondents from 61 countries.

Key dates

Data collection took place between November 2016-November 2017, with analysis performed between December 2017 and August 2018.

Quality Controls

Normal checks through descriptive statistics


Human population


Personal identifiers, such as name & email address, are not included in the results


LSHTM ethics reference number: 11922


Newborn, health systems, measurement, signal functions

Language of written material


Project title

Every Newborn Action Plan metrics


Children’s Investment Fund Foundation (CIFF)

Grant Number


Data Creators

Forename Surname Faculty / Dept Institution Role
Sarah Moxon Faculty of Epidemiology and Population Health / Dept of Infectious Disease Epidemiology London School of Hygiene & Tropical Medicine Data Creator

File Description

Filename Description Access status Licence Embargo period
Survey_Results_Tables.xlsx Results table for survey on newborn care interventions Open Creative Commons Attribution (CC-BY) n/a
Survey_form.pdf Question list and permitted responses Open Creative Commons Attribution (CC-BY) n/a
Participant_ Information_ Sheet.pdf Consent agreement and participant information sheet Open Creative Commons Attribution (CC-BY) n/a