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Table 2 Summary of included quantitative articles

From: The effectiveness of clinical networks in improving quality of care and patient outcomes: a systematic review of quantitative and qualitative studies

Authors

Country

Type of network

Theme

Study design

Quality ratinga

Gale et al. 2012 [3]

UK

Managed clinical network for neonatal services

Improving quality of care

Observational – before and after

Moderate

Greene et al. 2009 [31]

UK

Tayside Diabetes Managed Clinical Network

Improving quality of care

Observational – cross-sectional

Moderate

Hamilton et al. 2005 [4]

Scotland

Managed clinical network for cardiac services

Improving quality of care

Quasi-experimental – interrupted time series

Moderate

McClellan et al. 1999 [33]

USA

End Stage Renal Disease Networks

Improving patient outcomes

Observational – before and after

Low

McCullough et al. 2014 [30]

Scotland

Scottish Sarcoma Managed Clinical Network

Improving quality of care

Observational – retrospective before and after

Low

Ray-Coquard et al. 2002 [6]

France

Regional cancer network of hospitals

Improving quality of care

Quasi-experimental – controlled before and after

Moderate

Ray-Coquard et al. 2005 [7]

France

Regional cancer network of hospitals

Improving quality of care

Observational – before and after

Moderate

Spence & Henderson-Smart 2010 [32]

Australia

Australian and New Zealand Neonatal Network

Improving quality of care

Observational – before and after

Low

Tideman et al. 2014 [34]

Australia

Integrated cardiac support network

Improving patient outcomes

Observational – retrospective before and after

Moderate

  1. aQuality rating definitions are as follows
  2. • High quality – design and conduct of study address risk of bias, appropriate measurement of outcomes, appropriate statistical and analytical methods, low drop-out rates, adequate reporting
  3. • Moderate quality – do not meet all criteria for a rating of good quality but no flaw is likely to cause major bias, some missing information
  4. • Low quality – significant biases including inappropriate design, conduct, analysis or reporting, large amounts of missing information, discrepancies in reporting