title: How do teams in quality improvement collaboratives interact?
abstract: BACKGROUND
  The multi-organizational collaborative is a popular model for quality improvement (QI) initiatives. It assumes organizations will share information and social support. However, there is no comprehensive documentation of the extent to which teams do interact. Considering QI collaboratives as networks, interactions among reams were documented, and the associations between network roles and performance were examined.
  
  
  METHODS
  A telephone survey of official team contact persons for 94 site teams in three QI collaborarives was conducted in 2002 and 2003. Four performance measures were used to assess the usefulness of ties to other teams and being considered a leader by peers.
  
  
  RESULTS
  Eighty percent of the teams said they would contact another team again if they felt the need. Teams made a change as a direct result of interaction in 86% of reported relationships. Teams typically exchanged tools such as software and interacted outside of planned activities. Having a large number of ties to other teams is strongly related to the number of mentions as a leader. Both of these variables are related to faculty-assessed performance, number of changes the ream made to improve care, and depth of those changes.
  
  
  CONCLUSIONS
  The Findings suggest that collaborative teams do indeed exchange important information, and the social dynamics of the collaborarives contribute to individual and collaborative success.
authors.affiliation: Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
authors.forename: Jill A
authors.initials: JA
authors.lastname: Marsteller
authors.forename: Stephen M
authors.initials: SM
authors.lastname: Shortell
authors.forename: Michael
authors.initials: M
authors.lastname: Lin
authors.forename: Peter
authors.initials: P
authors.lastname: Mendel
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Dell
authors.forename: Stephanie
authors.initials: S
authors.lastname: Wang
authors.forename: Shan
authors.initials: S
authors.lastname: Cretin
authors.forename: Marjorie L
authors.initials: ML
authors.lastname: Pearson
authors.forename: Shin-Yi
authors.initials: SY
authors.lastname: Wu
authors.forename: Mayde
authors.initials: M
authors.lastname: Rosen
mesh_terms: D001249:Asthma / Q000628:therapy; D019985:Benchmarking; D002908:Chronic Disease / Q000628:therapy*; D003299:Cooperative Behavior; D003866:Depressive Disorder / Q000628:therapy; D003920:Diabetes Mellitus / Q000628:therapy; D019538:Health Care Surveys; D006333:Heart Failure / Q000628:therapy; D006801:Humans; D033183:Interdisciplinary Communication; D007857:Leadership; D008332:Management Quality Circles / Q000458:organization & administration*; D017146:Models, Organizational; D009096:Multi-Institutional Systems / Q000458:organization & administration / Q000592:standards*; D010043:Outcome and Process Assessment, Health Care; D012944:Social Support; D017749:Total Quality Management / Q000379:methods*