首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Improving the quality of care for infants: a cluster randomized controlled trial
Authors:Shoo K Lee  Khalid Aziz  Nalini Singhal  Catherine M Cronin  Andrew James  David SC Lee  Derek Matthew  Arne Ohlsson  Koravangattu Sankaran  Mary Seshia  Anne Synnes  Robin Walker  Robin Whyte  Joanne Langley  Ying C MacNab  Bonnie Stevens  Peter von Dadelszen
Abstract:

Background

We developed and tested a new method, called the Evidence-based Practice for Improving Quality method, for continuous quality improvement.

Methods

We used cluster randomization to assign 6 neonatal intensive care units (ICUs) to reduce nosocomial infection (infection group) and 6 ICUs to reduce bronchopulmonary dysplasia (pulmonary group). We included all infants born at 32 or fewer weeks gestation. We collected baseline data for 1 year. Practice change interventions were implemented using rapid-change cycles for 2 years.

Results

The difference in incidence trends (slopes of trend lines) between the ICUs in the infection and pulmonary groups was − 0.0020 (95% confidence interval CI] − 0.0007 to 0.0004) for nosocomial infection and − 0.0006 (95% CI − 0.0011 to − 0.0001) for bronchopulmonary dysplasia.

Interpretation

The results suggest that the Evidence-based Practice for Improving Quality method reduced bronchopulmonary dysplasia in the neonatal ICU and that it may reduce nosocomial infection.Although methods for continuous quality improvement have been used to improve outcomes,13 some, such as the National Institutes of Child Health and Human Development Quality Collaborative,4 have reported little or no effect in neonatal intensive care units (ICUs). These methods have been criticized for being based on intuition and anecdotes rather than on evidence.5 To address these concerns, researchers have developed methods aimed at improving the use of evidence in quality improvement. Tarnow-Mordi and colleagues,6 Sankaran and colleagues7 and others810 have used benchmarking instruments6,8,11 to show risk-adjusted variations in outcomes in neonatal ICUs. Synnes and colleagues12 reported that variations in the rates of intraventricular hemorrhage could be attributed to practice differences. MacNab and colleagues13 showed how multilevel modelling methods can be used to identify practice differences associated with variations in outcomes for targeted interventions and to quantify their attributable risks.Building on these results, we developed the Evidence-based Practice for Improving Quality method for continuous quality improvement. This method is based on 3 pillars: the use of evidence from published literature; the use of data from participating hospitals to identify hospital-specific practices for targeted intervention; and the use of a national network to share expertise. By selectively targeting hospital-specific practices for intervention, this method reduces the reliance on intuition and anecdotes that are associated with existing quality-improvement methods.Our objective was to evaluate the efficacy of the Evidence-based Practice for Improving Quality method by conducting a prospective cluster randomized controlled trial to reduce nosocomial infection and bronchopulmonary dysplasia among infants born at 32 or fewer weeks’ gestation and admitted to 12 Canadian Neonatal Network hospitals14 over a 36-month period. We hypothesized that the incidence of nosocomial infection would be reduced among infants in ICUs randomized to reduce infection but not among those in ICUs randomized to reduce bronchopulmonary dysplasia. We also hypothesized that the incidence of bronchopulmonary dysplasia would be reduced among infants in the ICUs randomized to reduce this outcome but not among those in ICUs randomized to reduce infections.
Keywords:
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号