An Evaluation of the National Zero Suicide Model across Learning Healthcare Systems
Our project seeks to develop metrics to measure fidelity and outcomes for the National Zero Suicide Model components implemented in each system using electronic health records and insurance claims data sources that are easily extractable and generalizable to other systems. Then, we propose to use these metrics to conduct fidelity and outcome evaluation of the various Zero Suicide Initiative approaches in each system using Interrupted Time Series Designs, which are among the strongest, pragmatic designs appropriate for evaluating care system intervention and policy changes in ‘Learning Healthcare Systems.’ We hypothesize that the implementation of various National Zero Suicide Model components will significantly reduce suicidal behavior within and across the participating systems. We seek to accomplish the following aims: 1) Collaborate with health system leaders to develop EHR metrics to measure specific quality improvement targets and care processes tailored to local Zero Suicide Initiative implementation; 2) examine the fidelity of the specific Zero Suicide Initiative care processes implemented in each system; and 3) investigate suicide attempt and mortality outcomes within and across Zero Suicide Initiative healthcare system models.