Background Quality improvement (QI) efforts have become widespread in healthcare, however there is significant variability in their success. Differences in context are thought to be responsible for some of the variability seen. Objective To develop a conceptual model that can be used by organisations and QI researchers to understand and optimise contextual factors affecting the success of a QI project. Methods 10 QI experts were provided with the results of a systematic literature review and then participated in two rounds of opinion gathering to identify and define important contextual factors. The experts subsequently met in person to identify relationships among factors and to begin to build the model. Results The Model for Understanding Success in Quality (MUSIQ) is organised based on the level of the healthcare system and identifies 25 contextual factors likely to influence QI success. Contextual factors within microsystems and those related to the QI team are hypothesised to directly shape QI success, whereas factors within the organisation and external environment are believed to influence success indirectly. Conclusions The MUSIQ framework has the potential to guide the application of QI methods in healthcare and focus research. The specificity of MUSIQ and the explicit delineation of relationships among factors allows a deeper understanding of the mechanism of action by which context influences QI success. MUSIQ also provides a foundation to support further studies to test and refine the theory and advance the field of QI science.

OBJECTIVE: We aimed to reduce late-onset bacterial infections in infants born at 22 to 29 weeks' gestation by using collaborative quality-improvement methods to implement evidence-based catheter care. We hypothesized that these methods would result in a 50% reduction in nosocomial infection. PATIENTS AND METHODS: We conducted an interrupted time-series study among 24 Ohio NICUs. The intervention began in September 2008 and continued through December 2009. Sites used the Institute for Healthcare Improvement Breakthrough Series quality-improvement model to facilitate implementation of evidence-based catheter care. Data were collected monthly for all catheter insertions and for at least 10 observations of indwelling catheter care. NICUs also submitted monthly data on catheter-days, patient-days, and episodes of infection. Data were analyzed by using statistical process control methods. RESULTS: During the intervention, NICUs submitted information on 1916 infants. Of the 242 infections reported, 69% were catheter associated. Compliance with catheter-insertion components was >90% by April 2009. Compliance with components of evidence-based indwelling catheter care reached 80.4% by December 2009. There was a significant reduction in the proportion of infants with at least 1 late-onset infection from a baseline of 18.2% to 14.3%. CONCLUSIONS: There was a 20% reduction in the incidence of late-onset infection after the intervention, but the magnitude was less than hypothesized, perhaps because compliance with components of evidence-based care of indwelling catheters remained <90%. Because nearly one-third of infections were not catheter associated, improvement may require attention to other aspects of care such as skin integrity and nutrition.

Background: Experience suggests that differences in context produce variability in the effectiveness of quality improvement (QI) interventions. However, little is known about which contextual factors affect success or how they exert influence. Purpose: Using the Model for Understanding Success in Quality (MUSIQ), we perform exploratory quantitative tests of the role of context in QI success. Methodology: We used a cross-sectional design to survey individuals participating in QI projects in three settings: a pediatric hospital, hospitals affiliated with a state QI collaborative, and organizations sponsoring participants in an improvement advisor training program. Individuals participating in QI projects completed a questionnaire assessing contextual factors included in MUSIQ and measures of perceived success. Path analysis was used to test the direct, indirect, and total effects of context variables on QI success as hypothesized in MUSIQ. Findings: In the 74 projects studied, most contextual factors in MUSIQ were found to be significantly related to at least one QI project performance outcome. Contextual factors exhibiting significant effects on two measures of perceived QI success included resource availability, QI team leadership, team QI skills, microsystem motivation, microsystem QI culture, and microsystem QI capability. There was weaker evidence for effects of senior leader project sponsors, organizational QI culture, QI team decision-making, and microsystem QI leadership. These initial tests add to the validity of MUSIQ as a tool for identifying which contextual factors affect improvement success and understanding how they exert influence. Practice Implications: Using MUSIQ, managers and QI practitioners can begin to identify aspects of context that must be addressed before or during the execution of QI projects and plan strategies to modify context for increased success. Additional work by QI researchers to improve the theory, refine measurement approaches, and validate MUSIQ as a predictive tool in a wider range of QI efforts is necessary.

The importance of contextual factors in influencing quality improvement and implementation (QI&I) initiatives is broadly acknowledged. Existing treatments of context have primarily viewed it as static and distinct from interventions themselves. The objective of this study was to advance understanding of the complex and dynamic interaction between context, intervention, and implementation strategies. Using the Model for Understanding Success in Quality (MUSIQ), we aimed to better understand the roles of, and inter-relationships between, contextual factors within QI&I initiatives. Secondary analysis was performed on qualitative data collected as part of two studies: (1) an evaluation of a state-wide obstetrical quality improvement (QI) initiative, and (2) a study of the use of Plan-Do-Study-Act cycle method in QI projects. Electronic coding databases from each study were reviewed jointly. Data analysis was initiated deductively using MUSIQ as a template. Codes were added in an inductive manner. All original factors in MUSIQ were observed to be important in the QI initiatives studied and new factors were identified. Three distinct types of context were identified; the setting(s) of care in which QI&I takes place (Type 1); the context of the team conducting a specific project (Type 2); and the wider context supporting general QI&I (Type 3). The picture of context emerging from this study is a dynamic one with multiple, closely-linked factors operating at different levels in a system that is constantly changing in response to QI&I initiatives. To capture this complexity, a revised model (MUSIQ v2.0) was created positioning use of structured QI&I approaches as the focal point and demonstrating how context influenced effective use of these approaches, and in turn, how these approaches supported teams in navigating context by adapting interventions to fit local settings. MUSIQ is a useful tool to explore the roles of, and inter-relationships between, contextual factors within QI&I initiatives. The revised model may help address some existing controversies about how context influences QI&I success and help ensure that future research efforts consider context not as static background, but as a complex system that is constantly changing, tightly-linked, and governed by feedback loops.