Impact Factor 3.161 | CiteScore 3.13
More on impact ›

Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Psychiatry | doi: 10.3389/fpsyt.2019.00828

Patient level predictors of psychiatric readmission in substance use disorders

 Volker Böckmann1*, Barbara Lay1, Erich Seifritz2, Patrik Roser1,  Wolfram Kawohl1 and  Benedikt Habermeyer1
  • 1Psychiatric Services Aargau, Switzerland
  • 2Psychiatric University Hospital Zurich, Switzerland

Repeated psychiatric readmissions are a particular challenge in the treatment of substance use disorders and are associated with substantial burden for patients and their associates and for health care providers. Factors affecting readmission rates are heterogeneous and need to be identified to better allocate resources. Within the Swiss health care system such data on substance use disorder patients are largely missing. Understanding these factors might bear important implications for future health care planning. Thus here, we examine risk factors of inpatient readmission.
We retrospectively analysed all admissions to the hospital's department of addictive disorders in the year 2016. Patients included in the study were followed over a period of one year after discharge regarding readmissions to the clinic. Besides the demographic, social and economic data we extracted data concerning patient history, admission and discharge as well as clinical data regarding type and number of substances abused and comorbid diagnoses. In order to describe severity of cases we furthermore included the scores of the Health of the Nation Outcome Scale (HoNOS) at admission and at discharge as documented in the medical database.
Of the 554 patients included in the study, 228 (41.2 %) were readmitted within 12 months. Previous admissions, concomitant use of different substances, presence of psychosis or mania and a higher severity score at discharge increased the likelihood of readmission. The odds for readmission were furthermore higher in patients not being married, living alone and being unemployed. When all (bivariate) statistically significant factors are included into a logistic regression model, the previous number of admissions and the HoNOS clinical score at discharge significantly contribute to this model.
Our findings stress that patients with higher symptom load at discharge are prone to be readmitted within 12 months. The same applies for patients with previous admissions. These findings suggest that the development of specific interventions to prevent premature discharge before satisfactory symptom remission, in particular in those patients with previous admissions in their patient history, might help to prevent readmissions.

Keywords: substance use disorders, number of admissions, HoNOS, predictors at patient level , Readmission

Received: 28 Jun 2019; Accepted: 18 Oct 2019.

Copyright: © 2019 Böckmann, Lay, Seifritz, Roser, Kawohl and Habermeyer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mr. Volker Böckmann, Psychiatric Services Aargau, Windisch, 5210, Switzerland, volker.boeckmann@pdag.ch