Disease-dependent variations in the timing and causes of readmissions in Germany: A claims data analysis for six different conditions

PLoS One. 2021 Apr 26;16(4):e0250298. doi: 10.1371/journal.pone.0250298. eCollection 2021.

Abstract

Background: Hospital readmissions place a major burden on patients and health care systems worldwide, but little is known about patterns and timing of readmissions in Germany.

Methods: We used German health insurance claims (AOK, 2011-2016) of patients ≥ 65 years hospitalized for acute myocardial infarction (AMI), heart failure (HF), a composite of stroke, transient ischemic attack, or atrial fibrillation (S/AF), chronic obstructive pulmonary disease (COPD), type 2 diabetes mellitus, or osteoporosis to identify hospital readmissions within 30 or 90 days. Readmissions were classified into all-cause, specific, and non-specific and their characteristics were analyzed.

Results: Within 30 and 90 days, about 14-22% and 27-41% index admissions were readmitted for any reason, respectively. HF and S/AF contributed most index cases, and HF and COPD accounted for most all-cause readmissions. Distributions and ratios of specific to non-specific readmissions were disease-specific with highest specific readmissions rates among COPD and AMI.

Conclusion: German claims are well-suited to investigate readmission causes if longer periods than 30 days are evaluated. Conditions closely related with the primary disease are the most frequent readmission causes, but multiple comorbidities among readmitted cases suggest that a multidisciplinary care approach should be implemented vigorously addressing comorbidities already during the index hospitalization.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Atrial Fibrillation / epidemiology*
  • Comorbidity
  • Data Analysis
  • Diabetes Mellitus, Type 2 / epidemiology*
  • Female
  • Germany / epidemiology
  • Heart Failure / epidemiology*
  • Humans
  • Insurance Claim Review
  • Insurance, Health
  • Male
  • Myocardial Infarction / epidemiology*
  • Osteoporosis / epidemiology*
  • Patient Readmission*
  • Pulmonary Disease, Chronic Obstructive / epidemiology*
  • Retrospective Studies
  • Risk Factors
  • Stroke / epidemiology*
  • Time Factors

Grants and funding

This work was supported by the German Innovation Funds according to § 92a (2) Volume V of the Social Insurance Code (§ 92a Abs. 2, SGB V - Fünftes Buch Sozialgesetzbuch), grant number: 01VSF18019. URL: https://innovationsfonds.g-ba.de/ Andreas D. Meid is funded by the Physician-Scientist Programme of Heidelberg University, Faculty of Medicine. URL: http://www.medizinische-fakultaet-hd.uni-heidelberg.de/Physician-Scientist-Programm.111367.0.html The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.