Is there a relationship between psychiatrist's clinical assessment of medication non-adherence and treatment outcomes? Implications for practice

精神科医生对药物依从性差的临床评估与治疗结果之间是否存在关联?对实践的启示

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Abstract

BACKGROUND: There is considerable research on the ramifications of medication non-adherence for adults with psychotic illnesses. Much of which has tightly controlled designs and strict inclusion/exclusion procedures (i.e., it is less "ecologically valid," or consistent with real-world challenges in care). The authors sought to determine predictive relationships between psychiatrists' clinical assessments of non-adherence and treatment outcomes, via a design that would be more applicable to practice. METHOD: Multiple regression analyses were conducted on non-adherence, symptom severity upon admission, number of recent hospitalizations, and length of hospital stay. The sample consisted of 182 inpatients with psychotic spectrum disorders and significant risk and vulnerability factors. Non-adherence was measured via the psychiatrists' diagnosis of V15.81. Symptom severity was measured via the 24-item Brief Psychiatric Rating Scale (BPRS-E). RESULTS: There were null findings on non-adherence and BPRS-E pretest score ( χ (2)= 2, p = 0.16), recent hospitalizations ( χ (2)= 1.2, p = 0.27), and length of stay (β = 0.003, p = 0.97). Higher symptom severity predicted a modestly longer length of stay ( χ (2)= .20, p = 0.007), though Bonferroni correction nullified this finding. White/Caucasian participants were far more likely to be non-adherent than black/African-American participants (t = -8.66; p > .00001). CONCLUSIONS: Null findings suggest the psychiatrist's initial, quick-form assessment of non-adherence may not necessarily presume a poor prognosis. Perhaps, because individuals with severe and chronic psychotic disorders may have greater coping, adaptive, and survival skills than is often assumed. In severely under-resourced hospitals, such second thoughts and more reliable information about adherence and contributing factors may improve treatment outcomes.

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