<p>Mobile health (mHealth) has seen substantial adoption, yet post-adoption user behaviors diverge into two primary coping strategies: effective use and restricted use. Drawing on the theory of service-dominant logic, this study investigates how different user experience values—functional, risk management, and psychological—conjointly influence these divergent behaviors. While the cumulative impact of these values is recognized, the specific combinations that lead to either effective or restricted use remain unclear. The objective of this study is to clarify the complex interactions among functional values (universal usability and feedback), psychological values (human well-being and hope), and risk management values (perceived privacy risks and trust), and how these factors shape post-adoption user behavior. Using fuzzy-set qualitative comparative analysis (fsQCA), we analyzed data from 604 Chinese mHealth users and conducted interviews with 30 users to substantiate our findings. Our necessity analysis revealed that no single factor was essential for causing effective or restricted use. However, the sufficiency analysis identified two configurations that lead to effective use and three configurations that result in restricted use. Notably, the presence of high feedback and emphasis on human well-being was found to be crucial for effective use, while their absence was linked to restricted use. This study deepens the understanding of the factors influencing post-adoption user behaviors in mHealth and provides valuable insights for practitioners aiming to develop effective engagement strategies. By highlighting the interplay of various motivational factors, it offers a nuanced perspective on encouraging sustained and meaningful mHealth usage.</p>