Danzer Graham, Sugarbaker David, Zanello Adriano, Barkin Sam, Cort Doug
Alliant International University/California School for Professional Psychology (CSPP), 1 Beach Street, San Francisco, CA, 94133, USA.
PGSP-Stanford Psy.D. Consortium, 1791 Arastradero Road, Palo Alto, CA, 94304, USA.
BMC Psychiatry. 2024 Dec 18;24(1):925. doi: 10.1186/s12888-024-06298-7.
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.
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).
There were null findings on non-adherence and BPRS-E pretest score ( = 2, p = 0.16), recent hospitalizations ( = 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 ( = .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).
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.
关于精神病性疾病成年患者药物治疗不依从的后果已有大量研究。其中许多研究设计严格且纳入/排除程序严格(即,其“生态学效度”较低,或与现实世界的护理挑战不一致)。作者试图通过一种更适用于临床实践的设计,确定精神科医生对不依从的临床评估与治疗结果之间的预测关系。
对不依从、入院时症状严重程度、近期住院次数和住院时间进行多元回归分析。样本包括182名患有精神病性谱系障碍且存在显著风险和脆弱因素的住院患者。不依从通过精神科医生对V15.81的诊断来衡量。症状严重程度通过24项简明精神病评定量表(BPRS-E)来测量。
不依从与BPRS-E预测试得分(β = 2,p = 0.16)、近期住院次数(β = 1.2,p = 0.27)和住院时间(β = 0.003,p = 0.97)之间均无显著关联。较高的症状严重程度预示着住院时间略长(β = 0.20,p = 0.007),不过经邦费罗尼校正后该结果不再显著。白人/高加索参与者比黑人/非裔美国参与者更有可能不依从(t = -8.66;p > 0.00001)。
无显著关联表明,精神科医生对不依从的初步快速评估不一定意味着预后不良。也许是因为患有严重慢性精神疾病的个体可能具有比通常认为的更强的应对、适应和生存技能。在资源严重不足的医院,这种重新思考以及关于依从性和影响因素的更可靠信息可能会改善治疗效果。