Self-management trajectories and influencing factors of older patients with Chronic Heart Failure
Objective:To identify the self-management trajectories of older patients with Chronic Heart Failure(CHF)and to analyze the predictive factors of different trajectories.Methods:A convenience sampling was used to recruit 213 older patients with CHF who were hospitalized in a cardiology ward of a tertiary grade A hospital in Yinchuan from December 2021 to June 2022.The first questionnaire survey was conducted during hospitalization,and follow-up surveys were conducted 1 month,3 months,6 months and 12 months after discharge.A latent class growth model was used to identify different categories of patients'self-management behavior change.Multiple Logistic regression was used to analyze the predictors of trajectory categories.Results:Totally 173 patients completed the all follow-up surveys.Three self-management trajectories of older patients with CHF were identified,namely"low level-declining"(29.5%),"moderate level-maintaining"(39.9%),and"high level-increasing"(30.6%).The results of multiple Logistic regression analysis showed that social support,self-efficacy,personal monthly income,place of residence,and gender were factors influencing the trajectory of self-management in older patients with CHF(P<0.05).Conclusion:Older patients with CHF shows different trajectories of self-management.Targeted measures should be developed based on the characteristics of patients'self-management trajectories to help patients maintain good self-management behaviors.
Chronic Heart Failureself-managementtrajectorylatent class growth modellongitudinal study
NETL
NSTL
万方数据
