[Depression--but many are (still) looking away!].
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Cross-Sectional Studies↗
Biomedical subjects
Bettina Hübner-Liebermann
Publications and source records attributed to Bettina Hübner-Liebermann.
[Evidence-based hospital management considering data from the psychiatric basic documentation system].
OBJECTIVE: The study aimed to demonstrate how data from the psychiatric basic documentation system (DGPPN-BADO) are able to support the hospital management in making evidence-based decisions. METHODS: Data from 14 327 psychiatric in-patients in the years 1997, 1999 and 2001 were analysed. RESULTS: About 40 % of patients were admitted without any medical sending, 20 % were referred by a general practitioner and 10 % by a psychiatrist in private practice. Between 1997 and 2001 an increase of patients with affective disorders and personality disorders was found. Comparing 1999 to 2001, patients showed greater deficits in their psychosocial capability (measured with GAF) at admission, but also at discharge. Outpatient aftercare was recommended to more than 80 % of in-patients, about 50 % by a general practitioner and about 33 % by a psychiatrist in private practice. 10 % of patients were cared by the own outpatient clinic. CONCLUSIONS: Data from the psychiatric basic documentation system could be shown as being relevant for evidence-based hospital management ensuring an effective and efficient in-patient treatment.
Aftercare↗
[Pathways of psychiatric in-patients].
OBJECTIVE: Pathways of psychiatric in-patients before and after their hospital stay should be evaluated. METHOD: Based on data of the psychiatric basic documentation of 4066 patients, predictors of type of referral as well as outpatient aftercare were analysed by means of logistic regression. RESULT: 42.5 % of patients were admitted without any medical sending, 18.4 % by a general practitioner, and 9.8 % by a psychiatrist in private practice. Patients referred by a general practitioner suffered more frequently from affective disorders (Odds Ratio = 4.0) or schizophrenia (OR = 3.3), and were residents of a senior citizen home (OR = 3.5). Inpatients sent by a psychiatrist were more often residents of a sheltered home (OR = 2.8), had a present episode lasting more than three months (OR = 1.9) and psychopharmacological pre-treatment with atypical antipsychotics (OR = 1.6) or SSRI (OR = 1.8). Outpatient aftercare was recommended to 83.1 % of in-patients: Aftercare by a general practitioner was more frequent in patients with addiction disorders (OR = 2.0) and elderly patients (OR = 1.03). Referral by a psychiatrist in private practice (OR = 4.5) as well as schizophrenia (OR = 3.3) or affective disorders (OR = 2.4) led more often to an outpatient aftercare by a psychiatrist. CONCLUSIONS: Beside therapeutic requirements the referring person predicted the type of outpatient aftercare.
Adult↗
[Heavy users in a psychiatric hospital--a cohort study on 1811 patients over five years].
OBJECTIVE: The aim of the study was to examine the extent of use of acute psychiatric inpatient care, and to determine sociodemographic and disease-related characteristics of so called "heavy users". METHODS: A cohort of 1811 patients with first hospitalisation in 1995 was followed by means of the German psychiatric basic documentation (DGPPN-BADO) over a five-year period from 1995 to 1999. RESULTS: The average cumulative length of stay was 63.2 days (SD 98.4), the median 32 days. 5 % of patients stayed in hospital more than 238 days and 1 % even more than 538.1 days within five years. 50 % of patients "consumed" only 10 % of inpatient days, whereas other 10 % of patients accounted for nearly 50 % of the resources. By means of a regression analysis ten significant predictors for a long cumulative hospital stay could be found, e. g. schizophrenia, personality disorder, socio-therapeutic modalities, sheltered living, and low psychosocial capability (GAF) at discharge. Within five years an average number of hospital stays of 1.8 (SD 2.1) was found. 5 % of patients had more than four inpatient stays, 1 % even more than ten. Regressions analysis revealed seven significant predictors for a high number of hospital stays, e. g. alcohol dependence, comorbid alcohol abuse, and a short interval between first and second admission. CONCLUSIONS: As no distinct group of "heavy user" could be identified, individual treatment strategies should be addressed, and qualitative studies and in-depth statistic analyses must be performed.
Adult↗