Jianing Song, Wen Gong
Sparse Bayesian Model and Artificial Intelligence in Enterprise Goodwill Evaluation and Dynamic Management
Computational intelligence and neuroscience
study aimed determine status hope treatment adherence psychiatric patients relationship two sample study consisted participants n 103 university hospital psychiatric clinic research data collected using personal information form morisky treatment adherence scale herth hope index hhi statistical analysis data carried spss 220 program using descriptive tests student ttest oneway variance analysis chisquare test spearman correlation analysis average score patients hope scale 3423 959 intermediate level 437 patients low adherence treatment found patients hope scores increased r 0417 nonadherence treatment decreased annual hospitalization increased nonadherence increased r 0274 duration disease increased score hope r 0271 nonadherence therapy r 0353 annual hospitalization increased r 0211 p 05 among patients took part study 369 diagnosed bipolar disorder 330 schizophrenia psychotic disorders 204 depression patients bipolar disorder higher treatment nonadherence scores determined 291 patients stopped taking medication thinking recovered 282 adhere treatment due drug side effects findings underscore crucial role hope influencing treatment adherence among psychiatric patients clinicians consider strategies bolster hope potential avenue improving adherence rates