Data analysis
Data from the meaning-oriented interviews were analysed using RLR and a phenomenological approach according to Dahlberg el al. (2008) which aims to find descriptions based on the phenomenon: supporting children during NRMP. The characteristic for the analysis is a constant movement between the whole and the parts. The data analysis began by reading the interviews in their entirety to become familiar with the text, and at the same time trying to have an open and reflective approach in order to get close to the text, without starting the analysis process. When the text appeared familiar as a whole, the next phase, where the text was divided into parts, termed meaning units, began. These were marked in the text and described with a few words. Those markings formed different related clusters, each one consisting of meaning units that linked to the others. A new whole revealed from different clusters when all the meanings had been identified, forming a description of the essence of the phenomenon, i.e., of supporting children during NRMP. The essential meaning was formulated and further described by its constituents, which are nuances of the essence. During the entire analysis process, there was a constant movement back and forth in the text, in order to ensure the validity of the findings.