CONNECT for quality: protocol of a cluster randomized controlled trial to improve fall prevention in nursing homes

<p>Abstract</p> <p>Background</p> <p>Quality improvement (QI) programs focused on mastery of content by individual staff members are the current standard to improve resident outcomes in nursing homes. However, complexity science suggests that learning is a social process that occurs within the context of relationships and interactions among individuals. Thus, QI programs will not result in optimal changes in staff behavior unless the context for social learning is present. Accordingly, we developed CONNECT, an intervention to foster systematic use of management practices, which we propose will enhance effectiveness of a nursing home Falls QI program by strengthening the staff-to-staff interactions necessary for clinical problem-solving about complex problems such as falls. The study aims are to compare the impact of the CONNECT intervention, plus a falls reduction QI intervention (CONNECT + FALLS), to the falls reduction QI intervention alone (FALLS), on fall-related process measures, fall rates, and staff interaction measures.</p> <p>Methods/design</p> <p>Sixteen nursing homes will be randomized to one of two study arms, CONNECT + FALLS or FALLS alone. Subjects (staff and residents) are clustered within nursing homes because the intervention addresses social processes and thus must be delivered within the social context, rather than to individuals. Nursing homes randomized to CONNECT + FALLS will receive three months of CONNECT first, followed by three months of FALLS. Nursing homes randomized to FALLS alone receive three months of FALLs QI and are offered CONNECT after data collection is completed. Complexity science measures, which reflect staff perceptions of communication, safety climate, and care quality, will be collected from staff at baseline, three months after, and six months after baseline to evaluate immediate and sustained impacts. FALLS measures including quality indicators (process measures) and fall rates will be collected for the six months prior to baseline and the six months after the end of the intervention. Analysis will use a three-level mixed model.</p> <p>Discussion</p> <p>By focusing on improving local interactions, CONNECT is expected to maximize staff's ability to implement content learned in a falls QI program and integrate it into knowledge and action. Our previous pilot work shows that CONNECT is feasible, acceptable and appropriate.</p> <p>Trial Registration</p> <p>ClinicalTrials.gov: <a href="http://www.clinicaltrials.gov/ct2/show/NCT00636675">NCT00636675</a></p

Effects of Maternity Care Coordination on Pregnancy Outcomes: Propensity-Weighted Analyses

BACKGROUND: Care coordination services that link pregnant women to health-promoting resources, avoid duplication of effort, and improve communication between families and providers have been endorsed as a strategy for reducing disparities in adverse pregnancy outcomes, however empirical evidence regarding the effects of these services is contradictory and incomplete. This study investigates the effects of maternity care coordination on pregnancy outcomes in North Carolina. METHODS: Birth certificate and Medicaid claims data were analyzed for 7,124 women delivering live infants in North Carolina from October 2008 through September 2010, of whom 2,255 received Maternity Care Coordination (MCC) services. Propensity-weighted analyses were conducted to reduce the influence of selection bias in evaluating program participation. Sensitivity analyses compared these results to conventional OLS analyses. RESULTS: The unadjusted preterm birth rate was lower among women who received MCC services (7.0 percent compared to 8.3 percent among controls). Propensity-weighted analyses demonstrated that women receiving services had a 1.8 percentage point reduction in preterm birth risk; p<0.05). MCC services were also associated with lower pregnancy weight gain (p=0.10). No effects of MCC were seen for birthweight. CONCLUSIONS: These findings suggest that coordination of care in pregnancy can significantly reduce the risk of preterm delivery among Medicaid-enrolled women. Further research evaluating specific components of care coordination services and their effects on preterm birth risk among racial/ethnic and geographic subgroups of Medicaid enrolled mothers could inform efforts to reduce disparities in pregnancy outcome