Lowering the burden: Shorter versions of the Program Sustainability Assessment Tool (PSAT) and Clinical...

Although significant advances have been made in the conceptualization of sustainability, having pragmatic, psychometrically valid tools remains a need within the field. Our previous work has developed frameworks and tools to assess both program sustainability and clinical sustainability capacity. This work presents new, psychometrically tested short versions of the Program Sustainability Assessment Tool (PSAT) and the Clinical Sustainability Assessment Tool (CSAT).

These methods were conducted in identical, parallel processes for the CSAT and PSAT. Previously collected data for these instruments was obtained across a variety of settings, contexts, and participants. We first conducted testing to determine cronbach's alpha of shortened domains (3 items each) and then conducted Confirmatory Factor Analysis to ensure that the domains were still appropriate for the tool. After, the team met to review the results and determine the final versions of the short PSAT and short CSAT.

The short PSAT retained cronbach's alpha's of 0.82 - 0.91 for each domain of the tool, with which maintains excellent reliability for the tool. Confirmatory factor analysis highlights that the short PSAT retains conceptual distinction across the 8 domains, with CFI scores greater than 0.90, RMSEA scores below 0.6, and SRMR scores less than 0.08. The short CSAT had cronbach's alpha of 0.84 - 0.92 for each of the domains of the tool, also suggesting excellent reliability of the domains within the measure after dropping two items/domain. Confirmatory factor analysis of the short CSAT meets the same specifications as above, again highlighting conceptual distinction across the domains.

Each tool was able to be shortened to three items per domain while maintaining strong psychometric properties. This results in a tool that takes less time to complete, meeting one of the key calls for pragmatic measures within implementation science. This advances our abilities to measure and test sustainability within implementation science.