Evaluating the effectiveness of a tailored multifaceted performance feedback intervention to improve the quality of care: protocol for a cluster randomized trial in intensive care
Open Access
- 24 October 2011
- journal article
- research article
- Published by Springer Nature in Implementation Science
- Vol. 6 (1), 119
- https://doi.org/10.1186/1748-5908-6-119
Abstract
Feedback is potentially effective in improving the quality of care. However, merely sending reports is no guarantee that performance data are used as input for systematic quality improvement (QI). Therefore, we developed a multifaceted intervention tailored to prospectively analyzed barriers to using indicators: the Information Feedback on Quality Indicators (InFoQI) program. This program aims to promote the use of performance indicator data as input for local systematic QI. We will conduct a study to assess the impact of the InFoQI program on patient outcome and organizational process measures of care, and to gain insight into barriers and success factors that affected the program's impact. The study will be executed in the context of intensive care. This paper presents the study's protocol.This publication has 52 references indexed in Scilit:
- Implementing quality indicators in intensive care units: exploring barriers to and facilitators of behaviour changeImplementation Science, 2010
- Marginal Models for Clustered Time-to-Event Data with Competing Risks Using PseudovaluesBiometrics, 2010
- Improving data quality control in quality improvement projectsInternational Journal for Quality in Health Care, 2009
- Improving the reporting of pragmatic trials: an extension of the CONSORT statementBMJ, 2008
- Variation in critical care services across North America and Western Europe*Critical Care Medicine, 2008
- Tutorial in biostatistics: competing risks and multi‐state modelsStatistics in Medicine, 2006
- Audit and feedback: effects on professional practice and health care outcomesPublished by Wiley ,2006