Objective Related complications such as volume overload,hypertension,electrolyte disturbances,bone mineral metabolism disorders and malnutrition in dialysis patients are closely related to their dietary intake.Therefore,it is very important to manage the diet and nutrition of dialysis patients.In this study,the phenomenological research meth-od was used to explore the experiences and views of dialysis patients on dietary adjustment based on the health belief mod-el from a subjective point of view,and to identify the essential reasons that affect dialysis patients'dietary compliance through qualitative research.in order to provide guidance for specific and personalized improvement of dietary compliance of haemodialysis(HD)patients.Methods From November to December 2021,28 HD patients in Peking University Third Hospital were selected by convenience sampling method.Phenomenological research method was applied to the in-terview and the data were analyzed using targeted content analysis to extract themes.Results Four themes were extrac-ted,and named as perceived threat,perceived barriers,self-efficacy & successful experience,and external factors re-spectively.Perceived threat affected the adherence of dialysis patients,especially the perceived severity.Perceived barri-ers included subjective and objective barriers,and subjective barriers were related to dietary recommendations,eating habits and concepts,and patient experience,etc.Comorbidity,social activities and eating out were objective barriers to dietary compliance in dialysis patients.Self-efficacy and success experiences included belief building,self-dietary modifi-cation,dietary control habits,and exercise.External factors included social support and other social factors.Conclusion The perception and cognition of dietary behavior change in HD patients was complicated.Their dietary ad-herence was influenced by many factors.Improving patients'perceived threat,reducing barriers,improving self-efficacy and social support will help to improve dietary adherence in HD patients.
维普
万方数据
