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Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
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Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

Creating the right evidence for system change.

Kenneth Lam1, Stephen W Hwang, Irfan A Dhalla

  • 1Kenneth Lam, BSc, is a Keenan research summer student at the Li Ka Shing Knowledge Institute, St. Michael's Hospital, in Toronto, Ontario; and a medical student at Western University, in London, Ontario.

Healthcare Quarterly (Toronto, Ont.)
|September 17, 2013
PubMed
Summary
This summary is machine-generated.

This study proposes using cluster randomized trials with mandatory reporting data for efficient healthcare system change evaluation. This approach can improve healthcare delivery and policy through cost-effective research methods.

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Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

Area of Science:

  • Healthcare systems research
  • Health services research
  • Public health policy

Background:

  • Evaluative research typically focuses on patient-level technology assessments.
  • Limited research assesses healthcare system changes' impact on delivery.
  • Need for efficient methods to evaluate system-level interventions.

Purpose of the Study:

  • To describe an affordable and efficient method for conducting evaluative trials of healthcare system changes.
  • To demonstrate the utility of cluster randomized designs and mandatory reporting data.
  • To advocate for the integration of such trials into regular healthcare policy.

Main Methods:

  • Utilizing a cluster randomized design.
  • Leveraging mandatory reporting data for cost-effective evaluation.
  • Employing the prevention of Clostridium difficile infection as a case study.

Main Results:

  • Demonstrates a feasible approach to evaluating system-level healthcare interventions.
  • Highlights the potential of mandatory reporting data in research.
  • Provides a framework for affordable and efficient evaluative trials.

Conclusions:

  • Cluster randomized trials with mandatory reporting data offer a viable solution for evaluating healthcare system changes.
  • This methodology can be a regular tool for informing healthcare policy.
  • Further adoption of these methods can lead to improved healthcare delivery.