Cost-effectiveness of antimicrobial stewardship programs in Indian tertiary care hospitals: A Markov model analysis

Yuvaraj Krishnamoorthy1, Salin K Eliyas2, Monica Karunakaran3

  • 1Evidence Synthesis Unit, Partnerships for Research, Opportunities, Planning, Upskilling and Leadership (PROPUL) Evidence, Chennai, 600099, India.

PubMed
Abstract

Insights

Implementing Antimicrobial Stewardship Programs (ASPs) in Indian hospitals significantly reduces costs and improves patient outcomes. These programs are a cost-saving strategy to combat antimicrobial resistance (AMR).

Area of Science:

  • Health Economics
  • Infectious Disease Management
  • Public Health Policy

Background:

  • Antimicrobial resistance (AMR) is a critical global health threat, exacerbated in India by high disease burdens and antibiotic misuse.
  • Antimicrobial Stewardship Programs (ASPs) are essential for optimizing antibiotic use and combating AMR.

Purpose of the Study:

  • To model the cost-effectiveness of implementing ASPs in tertiary care facilities in India.
  • To evaluate the economic and clinical benefits of ASPs in a resource-limited setting.

Main Methods:

  • A Markov model was used for cost-effectiveness analysis from a health system perspective.
  • The model simulated 1000 hospitalized patients, comparing ASP and non-ASP scenarios.
  • Data from literature, local hospitals, and expert opinion informed transitions between health states; sensitivity analyses were performed.

Main Results:

  • The ASP scenario resulted in a 72.0% cost reduction compared to the non-ASP setting.
  • ASPs reduced hospital and ICU stays, averting 4.9 deaths and demonstrating negative incremental cost-effectiveness ratios (ICERs).
  • The study found ASPs to be both cost-saving and more effective.

Conclusions:

  • Implementing ASPs in Indian tertiary care facilities is economically advantageous and clinically beneficial.
  • ASPs reduce healthcare costs, resource utilization, and mortality.
  • ASPs offer a sustainable strategy for mitigating AMR in resource-limited settings.

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