Development and implementation of quality indicators in a group of nine psychiatric hospitals

Quality indicators (QI) are becoming increasingly important in mental healthcare in Germany. QI can be used for various purposes, such as for creating transparency as well as for benchmarking between hospitals. QI themselves are subject to high quality standards. The aim of this report is to describe the development and implementation of QI in a group of psychiatric hospitals. Since 2015, the LVR hospital group has developed and gradually implemented QI for the purposes of quality measurement, quality assurance and internal benchmarking in its nine psychiatric hospitals in a comprehensive, multidisciplinary, scientifically accompanied process. The full LVR-QI set, consisting of eight structure-, twelve process- and four outcome indicators as well as one patient satisfaction questionnaire, was implemented by 2019. In order to create high documentation quality and acceptance by clinicians, various implementation and dissemination strategies were used, such as written documentation manuals, staff training as well as regular face-to-face communication between the LVR hospitals, the LVR Institute for Health Services Research as the central coordinating body and the headquarters of the LVR hospital group. The QI led to a quality-oriented dialogue within and between the LVR hospitals.

Individual and Needs-Based: The Platform-Model for Personnel Allocation in Child and Adolescent Psychiatry and Psychotherapy

Objective: An initiative by scientific societies of psychiatry, child and adolescent psychiatry, psychosomatic medicine, and further associations established the Platform-Model for the development of a needs-based system for adequate personnel allocation in psychiatric inpatient and day clinic units. We present the development of the instrument and a pilot study to identify feasibility and limitations. Methods: The basis of the study was a threefold methodological approach. Paradigmatic case vignettes adequately reflecting symptomatology and circumstances were described and validated, working profiles were generated and validated, and a matrix representing different needs-based dimensions was developed. Through reference date surveys, patients were assigned to needs-based clusters and Psych-PV categories. The required treatment effort under consideration of guidelines or expert consensus was estimated in several rounds of expert panels (Delphi method). Results: The pilot study proves the feasibility of the Platform-Model. Methodological findings as well as limitations of the model were identified in order to further develop the Platform-Model. Conclusions: The Platform-Model cannot serve as a tool to describe clinical pathways, but it appears to be an adequate and practical tool for assessment of the required staffing level based on patient needs independent of diagnosis and setting.