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Original Research

Improving Medication Adherence in Community-Dwelling Patients with Schizophrenia Through Therapeutic Alliance and Medication Attitude: A Serial Multiple Mediation Model

ORCID Icon, , ORCID Icon, , & ORCID Icon
Pages 1017-1026 | Published online: 13 Apr 2022

Figures & data

Figure 1 The serial mediation model in this study.

Notes: X = independent variable; Y = dependent variable; M1, M2 = mediators; a1, a2, b1, b2, d, c, c’ = unstandardized regression coefficients; a1 = X on M1; a2 = X on M2; b1 =M1 on Y; b2 = M2 on Y; d = M1 on M2; c = total effect of X on Y; c’ = direct effect of X on Y.
Figure 1 The serial mediation model in this study.

Table 1 Description of Patient Demographics and Main Variables (n = 229)

Figure 2 The serial mediation results in this study (A-C).

Notes: X = independent variable; Y = dependent variable; M1, M2 = mediators; A is the simple mediation model (pathway a1b1: X→M1→Y). B is the simple mediatiom model (pathway a2b2: X→M2→Y). C is the serial mediation model (pathway: X→M1→M2→Y). a1, a2, b1, b2, d, c, c’ = unstandardized regression coefficients; a1 = X on M1; a2 = X on M2; b1 =M1 on Y; b2 = M2 on Y; d = M1 on M2; c = total effect of X on Y; c’ = direct effect of X on Y. The coefficient of pathway c does not consider the mediator, the total effect of insight on medication adherence. The coefficient of pathway c’ considers the mediators, the direct effect of insight on medication adherence, not including the mediating effect. If pathway c’ is not significant, after considering M1 and M2, the effect of insight on medication adherence becomes non-significant.
Figure 2 The serial mediation results in this study (A-C).