Utility of the AHRQ Learning Collaboratives Taxonomy for Analyzing Innovations from an Australian Collaborative

Jt Comm J Qual Patient Saf. 2021 Nov;47(11):711-722. doi: 10.1016/j.jcjq.2021.08.008. Epub 2021 Aug 19.

Abstract

Background: Despite the proliferation of learning collaborations such as innovation platforms, the factors contributing to their success or failure are rarely documented. The Agency for Healthcare Research and Quality learning collaboratives taxonomy provides a framework for understanding how such collaborations work in different settings according to four primary elements: innovation, communication, time, and social systems. This study applied the taxonomy to assess an innovation platform and the utility of applying the taxonomy.

Methods: The study focus was a five-year national research collaboration operating as an innovation platform to strengthen primary health care quality improvement efforts for Indigenous Australians. The study team analyzed project records, reports and publications, and interviews that were conducted with 35 stakeholders. Data were mapped retrospectively against the taxonomy domains and thematically analyzed.

Results: The taxonomy proved useful in understanding how and why the innovation platform generated innovations. It revealed that time was particularly important, both to see innovations through and to establish a social system that enabled interconnectivity between members. However, the taxonomy did not provide useful guidance on identifying the types of innovations from the collaboration or the importance of a culture of continuous adaptation and learning. The study also found that the primary and secondary elements of the taxonomy were not discrete, which meant that it was difficult to align themes with only one element.

Conclusion: To improve the utility of the taxonomy, several elaborations are proposed, including reconfiguring it to a more dynamic form that recognizes the interconnections and links between the elements.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Australia
  • Humans
  • Learning*
  • Quality Improvement*
  • Retrospective Studies
  • United States
  • United States Agency for Healthcare Research and Quality