Trajectory and predictors of medication adherence in patients after PCI: A prospective longitudinal study

Background: Prognosis has been a major obstacle for patients after PCI, and predictors of medication adherence 6 months after discharge in post-PCI patients are still considered elusively. Objective: The aim of the study was to investigate the predictors of medication compliance levels 6 months after discharge in post-PCI coronary heart disease patients. Methods: 245 indivisuals were obtained from a tertiary hospital in Zhejiang Province.Data were collected 4 times within the first 6 months.The assessments included General information,Morisky Medication Adherence Scale(MMAS-8),Brief Illness Perception Questionnaire(BIPQ),Perceived Social Support Scale(PSSS) and eHealth Literacy Scale(eHEALS).Growth mixture modeling was used to identify trajectory patterns of medication adherence. Logistic regression was used to identify predictors of medication adherence trajectories. Results: The 6 monthstrajectories of medication adherence were classified into three distinct groups: Medium-high adherence decline group (55.7%, n=123), Medium-low adherence persistence group (34.5%, n=76), and Low Adherence Improvement Group (9.8%, n=21).The 6-month medication adherence predictors were BMI(OR = 0.149, 95%CI = 0.043-0.510),taking 4 medications(OR = 6.28, 95%CI= 1.018-38.727), type of occupation(OR =0.236, 95%CI = 0.076-0.734),underwent 1 PCI(OR = 3.560, 95%CI = 1.438-8.813),perceived illness(OR = 1.110, 95%CI = 0.026-0.680), social support(OR = 3.125, 95%CI:1.172-8.334) , e-health literacy(OR = 1.425, 95%CI = 1.113-1.824). Conclusions: This study obtained three patterns of trajectories and identified their predictive factors in coronary heart disease after PCI.The findings will assist health care professionals in identifying subgroups of patients and when they may be at risk of low medication adherence and provide timely targeted intervention to promote medication adherence.