Table 1.

The process of qualitative data analysis based on Elo & Kyngas' Method.

Data preparation	Selecting the unit of analysis	After turning the interviews into texts, the manifest content (such as interview text) and latent content (non-verbal behavior of participants) were analyzed and semantic units were identified.
	Finding a logical connection between data and the topic in general	The interview texts were reviewed several times by the researcher, and the researcher was constantly engaged with data for a long time until data saturation was achieved.
Data organization	Creating an analysis matrix	At this stage, a unconstrained matrix was created and the following were extracted as main categories: (1) developing a transparent framework for community health nursing practice, (2) enhancing community health nursing education and training for practice in the primary health care system and community settings, (3) strengthening cooperation and engagement among the major stakeholders of the primary health care system, and (4) the development of comprehensive support programs for community health nurses.
	Data extraction from content based on classes	The possibility of placing generic categories in the main categories of the matrix or the formation of new categories was investigated, based on conceptual and logical connections.
	Categorization	The number of codes decreased by the merging of similar codes into more general codes, consequently forming the generic categories.
	Classification	The created categories were classified based on the similarities and differences and similar categories were merged.
	Abstraction	The categories discovered in the initial main categories were placed into the analysis matrix. In case of inconsistency with the existing classes, new main categories were created by merging similar classes (new classes in the current study: changing the policies and the structure of the health system and focusing on the deficiencies of the health system)
Reporting		The sampling process, the participants' characteristics, data collection, data analysis, and the analysis of each class are thoroughly reported under Findings.