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Related Experiment Video

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Strategy management in collaborative clinical research partnerships.

Jonathan Kagan1, Jerome Lassa2, Judith Zuckerman1

  • 1National Institute of Allergy and Infectious Diseases, National Institutes of Health, US Department of Health and Human Services, 5601 Fishers Lane, Rockville, MD, USA.

Contemporary Clinical Trials Communications
|November 3, 2021
PubMed
Summary
This summary is machine-generated.

Adapting the Kaplan-Norton strategy model shows promise for managing diverse clinical trial partnerships. This approach aids in evaluating and improving research strategies for better public health impact.

Keywords:
Clinical research partnershipsStrategy management

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Area of Science:

  • Clinical Research Management
  • Global Health Partnerships
  • Strategy Management in Healthcare

Background:

  • Clinical trial partnerships involve diverse, multi-disciplinary teams, presenting management and operational challenges.
  • Differences in goals and cultural perspectives can impede research efficiency and impact.
  • Effective strategy management is crucial for optimizing collaborative research efforts.

Purpose of the Study:

  • To adapt and test the Kaplan-Norton strategy management paradigm within a clinical research partnership setting.
  • To evaluate the utility and acceptance of this adapted model for managing research strategies.
  • To support the development and implementation of sound research strategies in international collaborations.

Main Methods:

  • An adapted version of the Kaplan-Norton strategy management model was applied.
  • Analysis artifacts were gathered and assessments made using standardized tools.
  • The approach was piloted in an ongoing clinical research partnership in Liberia.

Main Results:

  • Initial findings support the hypothesis that the adapted Kaplan-Norton model is useful in this setting.
  • The approach demonstrated practical feasibility and resonance with partners.
  • Results suggest promise for assessing and improving clinical research management.

Conclusions:

  • Engaged leadership, strategic timing, and support are vital for model adoption.
  • Addressing skepticism and potential resistance is important for success.
  • Further testing and streamlining are needed to enhance usability and validate findings.