Abstract
INTRODUCTION: Child malnutrition in all forms is known globally as the leading cause of poor health. Planning and solving this challenge require sources that collect data accurately. Nutrition surveillance systems (NSS), nutrition registry systems (NRS) and nutrition information systems (NIS) collect and analyse data on nutrition status. Unfortunately, these systems only exist in a few countries. The methods that these systems use significantly differ and their effectiveness is also scarcely researched. This scoping literature review aimed to conduct a survey on NSS, NRS and NIS that collect data on children's nutrition at national and international levels, along with their attributes. METHODS AND ANALYSIS: The methods and analyses of this scoping review follow the Arksey and O'Malley's methodology. This scoping literature review will be conducted in five stages based on this method. (1) The main research question and subquestions are identified. (2) Relevant studies are extracted. In this step, we will search electronic databases including PubMed, Scopus and ISI Web of Science. A manual search will also be performed in Google Scholar, grey literature, and the websites of organisations such as WHO, UNICEF, Centers for Disease Control and Prevention, National Health Service, International Food Policy Research Institute, Food and Agriculture Organization, Food and Nutrition Technical Assistance, United Nations World Food Programme, and United Nations System Standing Committee on Nutrition. (3) Extracted studies are separately reviewed by two reviewers based on inclusion and exclusion criteria, and eligible studies are then selected. A third reviewer resolves disagreements. (4) A checklist is developed to extract the features. Data of included systems are separately extracted and entered into a checklist by two reviewers. A third reviewer then resolves any disagreement. (5) Data are summarised and analysed and are presented in tables and figures. DISCUSSION: This scoping literature review provides strong evidence of the status of systems that collect data on the status of child nutrition. This evidence can help select best practices which can be applied to develop future systems. It can also be a positive step towards achieving an integrated system.