Increased financial burdens and lengths of stay in patients with healthcare-associated infections due to multidrug-resistant bacteria in intensive care units: A propensity-matched case-control study

PLoS One. 2020 May 18;15(5):e0233265. doi: 10.1371/journal.pone.0233265. eCollection 2020.

Abstract

Background and objectives: Incidence rates of healthcare-associated infections (HAIs) depend upon infection control policy and practices, and the effectiveness of the implementation of antibiotic stewardship. Amongst intensive care unit (ICU) patients with HAIs, a substantial number of pathogens were reported to be multidrug-resistant bacteria (MDRB). However, impacts of ICU HAIs due to MDRB (MDRB-HAIs) remain understudied. Our study aimed to evaluate the negative impacts of MRDB-HAIs versus HAIs due to non-MDRB (non-MRDB-HAIs).

Methods: Among 60,317 adult patients admitted at ICUs of a 2680-bed medical centre in Taiwan between January 2010 and December 2017, 279 pairs of propensity-score matched MRDB-HAI and non-MRDB-HAI were analyzed.

Principal findings: Between the MDRB-HAI group and the non-MDRB-HAI group, significant differences were found in overall hospital costs, costs of medical and nursing services, medication, and rooms/beds, and in ICU length-of-stay (LOS). As compared with the non-MDRB-HAI group, the mean of the overall hospital costs of patients in the MDRB-HAI group was increased by 26%; for categorized expenditures, the mean of costs of medical and nursing services of patients in the MDRB-HAI group was increased by 8%, of medication by 26.9%, of rooms/beds by 10.3%. The mean ICU LOS in the MDRB-HAI group was increased by 13%. Mortality rates in both groups did not significantly differ.

Conclusions: These data clearly demonstrate more negative impacts of MDRB-HAIs in ICUs. The quantified financial burdens will be helpful for hospital/government policymakers in allocating resources to mitigate MDRB-HAIs in ICUs; in case of need for clarification/verification of the medico-economic burdens of MDRB-HAIs in different healthcare systems, this study provides a model to facilitate the evaluations.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Case-Control Studies
  • Catheter-Related Infections / epidemiology
  • Critical Care
  • Cross Infection / economics*
  • Cross Infection / epidemiology
  • Drug Resistance, Multiple, Bacterial / drug effects
  • Female
  • Hospital Costs
  • Hospitalization / economics
  • Hospitals
  • Humans
  • Incidence
  • Infection Control / economics
  • Infection Control / methods
  • Intensive Care Units / economics*
  • Intensive Care Units / trends
  • Length of Stay / economics
  • Male
  • Methicillin-Resistant Staphylococcus aureus / metabolism
  • Middle Aged
  • Propensity Score
  • Staphylococcal Infections / economics
  • Staphylococcal Infections / epidemiology
  • Taiwan

Grants and funding

This work was supported by Grant CMRPG8H0591 (L-HS) and partially supported by Grant CMRPG8D0841 (J-WL) from Kaohsiung Chang Gung Memorial Hospital, Taiwan; the funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. No additional external funding was received for this study.