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A few respondents suggested their personal sense of faith by invoking God's role in protecting their children or allowing their family's success, representing an emergent and preliminary theme.
All team members read the transcripts and together undertook line by line coding of five transcripts to develop a set of preliminary themes.
We reconciled differences, clarified, and refined categories by consensus and then developed working themes (see Table 2) by testing preliminary themes against a second set of five transcripts.
Creating the codes was an iterative process of the writing, editing, and reconstruction of statements from the preliminary themes into a set of revised themes using the qualitative techniques of the constant comparison method and searching for deviant cases [ 38].
On the third reading, we identified idea elements and used an inductive approach to develop preliminary themes in relation to the three denormalization approaches.
The analyses started by reading the transcribed interviews to obtain a general impression and identify the preliminary themes.
Transcripts were read several times to get an overall picture and then recurring preliminary themes were identified and used to create codes (see Supplementary File for a summary of the coding tree).
Four steps were followed: (i) Transcripts were read to gain a contextualized impression of the discussions, and preliminary themes chosen.
First we read through the interviews to achieve an overall impression, and to look for preliminary themes related to the challenges faced by mental health professionals working with patients and family members in psychoeducational family intervention.
The transcript of the initial focus group was analyzed first by the principal investigator (CRN) and used to generate preliminary themes that were used as a guide for analysis of remaining transcripts.
In accordance with Malterud's method for systematic text condensation [ 21], all the authors independently first read all the interviews to get an overview of the material and to identify preliminary themes associated with implementation of PaTH.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com