This article discusses the importance of trustworthiness in qualitative content analysis, particularly in nursing science. Trustworthiness is often assessed using terms like credibility, dependability, conformability, transferability, and authenticity. The authors review previous studies, their own experiences, and methodological textbooks to describe trustworthiness across the main phases of qualitative content analysis: data collection, organization, and reporting of results. They emphasize the need to scrutinize each phase to ensure the overall trustworthiness of the study. A checklist is provided for researchers aiming to improve the trustworthiness of their content analysis studies. The discussion highlights the challenges in evaluating trustworthiness due to inadequate descriptions of data collection and analysis methods. The authors argue that accurate reporting of the analysis process is crucial for ensuring the validity and understandability of results, which is especially important for reviewers of scientific articles. They also discuss the importance of using appropriate sampling strategies, selecting suitable units of analysis, and ensuring the credibility of findings through methods like member checks and double-coding. The article concludes that improving the trustworthiness of content analysis requires thorough preparation, rigorous analysis, and clear reporting of results. The authors recommend that researchers use systematic and well-organized approaches to enhance the trustworthiness of their studies.This article discusses the importance of trustworthiness in qualitative content analysis, particularly in nursing science. Trustworthiness is often assessed using terms like credibility, dependability, conformability, transferability, and authenticity. The authors review previous studies, their own experiences, and methodological textbooks to describe trustworthiness across the main phases of qualitative content analysis: data collection, organization, and reporting of results. They emphasize the need to scrutinize each phase to ensure the overall trustworthiness of the study. A checklist is provided for researchers aiming to improve the trustworthiness of their content analysis studies. The discussion highlights the challenges in evaluating trustworthiness due to inadequate descriptions of data collection and analysis methods. The authors argue that accurate reporting of the analysis process is crucial for ensuring the validity and understandability of results, which is especially important for reviewers of scientific articles. They also discuss the importance of using appropriate sampling strategies, selecting suitable units of analysis, and ensuring the credibility of findings through methods like member checks and double-coding. The article concludes that improving the trustworthiness of content analysis requires thorough preparation, rigorous analysis, and clear reporting of results. The authors recommend that researchers use systematic and well-organized approaches to enhance the trustworthiness of their studies.