Learning and improving in quality improvement collaboratives: which collaborative features do participants value most?

Health Serv Res. 2009 Apr;44(2 Pt 1):359-78. doi: 10.1111/j.1475-6773.2008.00923.x. Epub 2008 Nov 28.


Objective: To understand participants' views on the relative helpfulness of various features of collaboratives, why each feature was helpful and which features the most successful participants viewed as most central to their success.

Data sources: Primary data collected from 53 teams in four 2004-2005 Institute for Healthcare Improvement (IHI) Breakthrough Series collaboratives; secondary data from IHI and demographic sources.

Study design: Cross-sectional analyses were conducted to assess participants' views of 12 features, and the relationship between their views and performance improvement.

Data collection methods: Participants' views on features were obtained via self-administered surveys and semi-structured telephone interviews. Performance improvement data were obtained from IHI and demographic data from secondary sources.

Principal findings: Participants viewed six features as most helpful for advancing their improvement efforts overall and knowledge acquisition in particular: collaborative faculty, solicitation of their staff's ideas, change package, Plan-Do-Study-Act cycles, Learning Session interactions, and collaborative extranet. These features also provided participants with motivation, social support, and project management skills. Features enabling interorganizational learning were rated higher by teams whose organizations improved significantly than by other teams.

Conclusions: Findings identify features of collaborative design and implementation that participants view as most helpful and highlight the importance of interorganizational features, at least for those organizations that most improve.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Canada
  • Consumer Behavior*
  • Cooperative Behavior*
  • Cross-Sectional Studies
  • Health Services Research
  • Humans
  • Institutional Management Teams*
  • Interviews as Topic
  • Learning*
  • Quality Assurance, Health Care / organization & administration*
  • Research Design
  • United States