Phenomenon-oriented lifeworld-led data generation in qualitative research-challenging absent or inadequate choices of methods.

purposeThis paper aims to articulate why and how the quality of data generation is important for developing valid qualitative research. The goal is to highlight how such an approach surpasses standardized or predetermined methods in generating high-quality data capable of illuminating existentially significant phenomena.

methodsWe provide epistemological justification and methodological reasoning drawn from philosophy of science, and our extensive experience conducting and teaching qualitative research within healthcare contexts.

resultsAppropriate data generation methods are found to be those inherently aligned with the nature and nuances of the phenomenon under study. We identify the importance of an initial thorough exploration of the phenomenon's characteristics, ensuring methodological choices emerge organically from the research context itself. There is no method that answers all methodological questions. Instead, we emphasise that all methods have pros and cons. DISCUSSION: Methodological decisions should not be dictated merely by convenience or convention within research groups. These decisions must embody sensitivity toward participants, particularly considering the vulnerable status of healthcare recipients. We advocate explicitly integrating human rights considerations into research practice, reinforcing ethical responsibilities inherent in qualitative health research. Adopting a lifeworld-led, phenomenon-oriented approach, represents a vital and ethically sound pathway to achieving insightful and meaningful qualitative research outcomes.