Qualitative research plays a significant role in primary care, contributing as much as quantitative research, especially in understanding psycho-social aspects, health services, policy, and administration. However, qualitative research has faced criticism due to the lack of consensus on assessing its quality and robustness. This article discusses five studies that demonstrate how qualitative research can influence primary care, from health screening to disease monitoring, triage services, psychiatric care pathways, and national healthcare legislation. It addresses the concepts of validity, reliability, and generalizability in qualitative research, highlighting current views and controversies. Qualitative research differs from quantitative research in its focus on understanding patterns in words, rather than numerical data. It emphasizes human emotions, perspectives, and subjectivity, which are essential for enriching findings. While quantitative research views these elements as biases, qualitative research sees them as valuable for adding depth and context. Despite this, the subjectivity and contextual factors in qualitative research have led to ongoing debates about the standards for quality and trustworthiness. Qualitative research has made significant contributions to primary care, as shown by studies on COPD management, colorectal cancer screening, out-of-hours GP services, community psychiatry care pathways, and children's healthcare legislation. These studies highlight the importance of qualitative methods in understanding complex healthcare issues and informing policy decisions. The criteria for assessing the quality of qualitative research include clarity of research questions, appropriate sampling, data collection and analysis, coherence between data and conclusions, and the contribution of the paper. Different approaches have been proposed, such as the school of Dixon-Woods, which emphasizes methodology, and Lincoln et al., which focuses on the rigor of interpretation. Meyrick proposed the dual criteria of transparency and systematicity for good quality qualitative research. Validity in qualitative research refers to the appropriateness of tools, processes, and data. Reliability in qualitative research is about consistency, allowing for variability in results as long as the methodology and epistemological logistics consistently yield similar data. Generalizability is typically not a primary goal of qualitative research, but with the rise of knowledge synthesis, it has become more relevant. Approaches to assessing generalizability include systematic sampling, triangulation, and constant comparison. Despite various measures to enhance the quality of qualitative research, some researchers argue that qualitative research is inherently diverse and cannot be synthesized under a single system. However, others propose that multiple and open approaches can enhance validity and quality in qualitative research. In conclusion, the three criteria of validity, reliability, and generalizability apply to both quantitative and qualitative research, with differences in the nature and type of processes that distinguish them.Qualitative research plays a significant role in primary care, contributing as much as quantitative research, especially in understanding psycho-social aspects, health services, policy, and administration. However, qualitative research has faced criticism due to the lack of consensus on assessing its quality and robustness. This article discusses five studies that demonstrate how qualitative research can influence primary care, from health screening to disease monitoring, triage services, psychiatric care pathways, and national healthcare legislation. It addresses the concepts of validity, reliability, and generalizability in qualitative research, highlighting current views and controversies. Qualitative research differs from quantitative research in its focus on understanding patterns in words, rather than numerical data. It emphasizes human emotions, perspectives, and subjectivity, which are essential for enriching findings. While quantitative research views these elements as biases, qualitative research sees them as valuable for adding depth and context. Despite this, the subjectivity and contextual factors in qualitative research have led to ongoing debates about the standards for quality and trustworthiness. Qualitative research has made significant contributions to primary care, as shown by studies on COPD management, colorectal cancer screening, out-of-hours GP services, community psychiatry care pathways, and children's healthcare legislation. These studies highlight the importance of qualitative methods in understanding complex healthcare issues and informing policy decisions. The criteria for assessing the quality of qualitative research include clarity of research questions, appropriate sampling, data collection and analysis, coherence between data and conclusions, and the contribution of the paper. Different approaches have been proposed, such as the school of Dixon-Woods, which emphasizes methodology, and Lincoln et al., which focuses on the rigor of interpretation. Meyrick proposed the dual criteria of transparency and systematicity for good quality qualitative research. Validity in qualitative research refers to the appropriateness of tools, processes, and data. Reliability in qualitative research is about consistency, allowing for variability in results as long as the methodology and epistemological logistics consistently yield similar data. Generalizability is typically not a primary goal of qualitative research, but with the rise of knowledge synthesis, it has become more relevant. Approaches to assessing generalizability include systematic sampling, triangulation, and constant comparison. Despite various measures to enhance the quality of qualitative research, some researchers argue that qualitative research is inherently diverse and cannot be synthesized under a single system. However, others propose that multiple and open approaches can enhance validity and quality in qualitative research. In conclusion, the three criteria of validity, reliability, and generalizability apply to both quantitative and qualitative research, with differences in the nature and type of processes that distinguish them.