| Veröffentlichte Version Download ( PDF | 2MB) | Lizenz: Creative Commons Namensnennung 3.0 de |
Limited predictive value of admission time in clinical psychiatry
Kreuzer, Peter M., Günther, Stefan, Simoes, Jorge, Ziereis, Michael und Langguth, Berthold
(2020)
Limited predictive value of admission time in clinical psychiatry.
BMC Health Services Research 20, S. 1041.
Veröffentlichungsdatum dieses Volltextes: 19 Feb 2021 09:21
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.44974
Zusammenfassung
Background A large proportion of admissions to psychiatric hospitals happen as emergency admissions and many of them occur out of core working hours (during the weekends, on public holidays and during night time). However, very little is known about what determines admission times and whether the information of admission time bears any relevance for the clinical course of the patients. In other ...
Background A large proportion of admissions to psychiatric hospitals happen as emergency admissions and many of them occur out of core working hours (during the weekends, on public holidays and during night time). However, very little is known about what determines admission times and whether the information of admission time bears any relevance for the clinical course of the patients. In other words, do admission times correlate with diagnostic groups? Can accumulations of crises be detected regarding circadian or weekly rhythms? Can any differences between workdays and weekends/public holidays be detected? May it even be possible to use information on admission times as a predictor for clinical relevance and severity of the presented condition measured by the length of stay? Methods In the present manuscript we analyzed data derived from 37 ' 705 admissions to the Psychiatric District Hospital of Regensburg located in the Southern part of Germany covering the years 2013 to 2018 with regard to ICD-10 diagnostic groups and admission times. The hospital provides 475 beds for in-patient treatment in all fields of clinical psychiatry including geriatrics and addiction medicine. Results Several core questions could be answered based on our analysis: 1st Our analysis confirms that there is a high percentage of unheralded admissions out of core time showing broad variation. 2nd In contrary to many psychiatrists' misconceptions the time of admission has no relevant impact on the length of stay in the hospital. 3rd The predictive value of admission time regarding the allocation to ICD-10 diagnostic groups is low explaining only 1% of variability. Conclusions Taken together, our data reveal the enormous variation of admission times of psychiatric patients accounting for the need of adequate and consistent provision of personnel and spatial resources.
Alternative Links zum Volltext
Beteiligte Einrichtungen
Details
| Dokumentenart | Artikel | ||||
| Titel eines Journals oder einer Zeitschrift | BMC Health Services Research | ||||
| Verlag: | BMC | ||||
|---|---|---|---|---|---|
| Ort der Veröffentlichung: | LONDON | ||||
| Band: | 20 | ||||
| Seitenbereich: | S. 1041 | ||||
| Datum | 13 November 2020 | ||||
| Institutionen | Medizin > Lehrstuhl für Psychiatrie und Psychotherapie | ||||
| Identifikationsnummer |
| ||||
| Stichwörter / Keywords | CARE; Admission times; Clinical psychiatry; Diagnostic groups; Circadian rhythms; Mental crisis | ||||
| Dewey-Dezimal-Klassifikation | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Ja | ||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-449747 | ||||
| Dokumenten-ID | 44974 |
Downloadstatistik
Downloadstatistik