Literature DB >> 19655280

[Psychopathological syndromes according to the AMDP-system as the foundation for clinical case grouping in psychiatry].

Uwe Herwig1, Ingeborg Warnke, Wulf Rössler.   

Abstract

OBJECTIVE: Diagnoses-related clinical case grouping for an estimation of resource consumption for psychiatric inpatients analogue to the somatic medicine till now did not lead to sufficient prediction of costs. However, this is required when regarding increasing health costs from the economic perspective.
METHOD: We investigated whether classical psychopathological syndromes according to the AMDP-System at admission would predict the variation of length of hospital stay. Using linear regressions with forward elimination, we analyzed the predictive value of the AMDP syndromes, and also of global assessment of functioning, illness severity and certain sociodemographic factors for the length of stay.
RESULTS: Together with clinical and sociodemographic factors, we found a variance estimation of 20 %.
CONCLUSIONS: Our pilot study does not imply AMDP syndromes to be suitable for a case grouping to estimate costs. Other analytical approaches using AMDP syndromes may lead to a better prediction, however, its use shall be regarded critically. Georg Thieme Verlag KG Stuttgart. New York.

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Year:  2009        PMID: 19655280     DOI: 10.1055/s-0029-1220355

Source DB:  PubMed          Journal:  Psychiatr Prax        ISSN: 0303-4259


  3 in total

1.  Factors Associated with Length of Stay in a Swiss Mental Hospital.

Authors:  Benedikt Habermeyer; Hristijana De Gennaro; Rene Channa Frizi; Patrik Roser; Niklaus Stulz
Journal:  Psychiatr Q       Date:  2018-09

2.  Does psychopathology at admission predict the length of inpatient stay in psychiatry? Implications for financing psychiatric services.

Authors:  Ingeborg Warnke; Wulf Rössler; Uwe Herwig
Journal:  BMC Psychiatry       Date:  2011-07-29       Impact factor: 3.630

Review 3.  Capturing patients' needs in casemix: a systematic literature review on the value of adding functioning information in reimbursement systems.

Authors:  Maren Hopfe; Gerold Stucki; Ric Marshall; Conal D Twomey; T Bedirhan Üstün; Birgit Prodinger
Journal:  BMC Health Serv Res       Date:  2016-02-03       Impact factor: 2.655

  3 in total

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