That COREQ file is very useful for human consumption, but it would be useful if it were machine actionable as well, which would allow, for instance, to discover it more easily when searching for studies involving, say, native Thai speakers, or NVivo 11.3.2. Just saying - I understand this is beyond the scope of the current paper, but I'm involved in efforts to make data management plans machine actionable, which means dealing with these same issues.

As an aside, the COREQ file states (at the very bottom):

For reasons of length, the paper reports only the major themes.

I don't know of restrictions in Wellcome Open Research in terms of article length, and in the paper's introduction, the authors had stated

here we focus on findings we believe to be of greatest interest to researchers who share data, or are contemplating doing so.

which seems a more valid reason to leave out some minor themes.