Predicting the "revolving door" phenomenon among patients with schizophrenic, schizoaffective, and affective disorders.
Predicting the "revolving door" phenomenon among patients with schizophrenic, schizoaffective, and affective disorders.
复制标题
预测精神分裂症、情感分裂和情感障碍患者的“旋转门”现象。
DOI:
10.1176/ajp.152.6.856
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发表时间:
1995
期刊:
影响因子:
--
通讯作者:
Lewis,DA
中科院分区:
文献类型:
--
作者:
Haywood,TW;Kravitz,HM;Grossman,LS;CavanaughJr,JL;Davis,JM;Lewis,DA
ObjectiveA subpopulation of chronically mentally ill patients, sometimes referred to as" revolving door" patients, are frequently readmitted to psychiatric units. This study examined the relationships among demographic features, diagnostic characteristics, and frequency of hospitalization of patients from four state hospitals.MethodTwo semistructured, standardized instruments, the Schedule for Affective Disorders and Schizophrenia and a life events history, were administered to 135 inpatients who met the Research Diagnostic Criteria for schizophrenia (N= 56), schizoaffective disorder (N= 33), unipolar major depressive disorder (N= 23), and bipolar disorder (N= 23). Criminal history was assessed by arrest records. The main outcome measure was the number of hospitalizations.ResultsChi-square and trend test analyses indicated that substance abuse and noncompliance with medication regimens were significantly associated with higher frequencies of hospitalization. A multiple regression model, which included alcohol/drug problems, medication noncompliance, and six sociodemographic and diagnostic variables (age, gender, race, marital status, years of education, and diagnosis) accounted for a significant proportion of the ability to predict frequency of hospitalization. Half of this predictability was due to the relationship of substance abuse and medication noncompliance with number of hospitalizations.ConclusionsAlcohol/drug problems and noncompliance with medication were the most important factors related to frequency of hospitalization. Preventing these behaviors through patient education may reduce rehospitalization rates.