title: [Calculating personnel allocation at 100 % implementation of the Psychiatry Personnel Act. Can it be done on the basis of existing routine data?].
abstract: From 1 January 2019, after completion of the convergence phase, the Psychiatry Personnel Act (Psych-PV) will no longer be the basis of budget negotiations of psychiatric hospitals and departments with the health insurance funds in Germany. Instead, the new compounding remuneration system for psychiatric and psychosomatic inpatient institutions (PEPP) will provide a new framework. The Federal Joint Committee (Gemeinsamer Bundesausschuss, G-BA) has been given the task of elaborating a directive on the basis of the expiring Psych-PV in order to redefine standards for personnel allocation within this new framework. This task presupposes the existence of reliable data in the psychiatric hospitals and departments for categorizing patients following the Psych-PV. It presupposes further that these data allow an exact calculation of the personnel to which the clinics are entitled. This article shows that the so-called §-21 dataset from the database of the VIPP project (indicators of patient care in psychiatric and psychosomatic facilities) allows this calculation. The VIPP dataset was used as a basis to calculate the personnel requirements. Exemplary analyses illustrate that the information available regarding the Psych-PV can be transformed in minutes per day, minutes per month and full time positions. Therefore, this information would also be available to the Institute for the Hospital Remuneration System (InEK).
authors.affiliation: Klinik für Seelische Gesundheit im Alter und Verhaltensmedizin, Alexianer St. Joseph Krankenhaus, Berlin-Weißensee, Gartenstr. 1, 13088, Berlin-Weißensee, Deutschland, f.godemann@alexius.de.
authors.forename: F
authors.initials: F
authors.lastname: Godemann
authors.forename: C
authors.initials: C
authors.lastname: Wolff-Menzler
authors.forename: M
authors.initials: M
authors.lastname: Löhr
authors.forename: R
authors.initials: R
authors.lastname: Nitschke
authors.forename: H J
authors.initials: HJ
authors.lastname: Salize
authors.forename: F
authors.initials: F
authors.lastname: Seemüller
authors.forename: G
authors.initials: G
authors.lastname: Laengle
authors.forename: J
authors.initials: J
authors.lastname: Wolff
authors.forename: I
authors.initials: I
authors.lastname: Hauth
mesh_terms: D005858:Germany; D006280:Health Workforce / Q000191:economics* / Q000706:statistics & numerical data; D020380:Needs Assessment / Q000191:economics* / Q000331:legislation & jurisprudence; D011570:Psychiatry / Q000191:economics*; D012051:Reimbursement Mechanisms / Q000191:economics / Q000331:legislation & jurisprudence; D040841:Resource Allocation / Q000191:economics* / Q000379:methods; D016526:Workload / Q000191:economics / Q000331:legislation & jurisprudence