To explore using the Patient Activation Measure () for identifying patients more likely to have ambulatory care–sensitive () utilization and future increases in chronic disease.
Secondary data are extracted from the electronic health record of a large accountable care organization.
This is a retrospective cohort design. The key predictor variable, score, is measured in 2011, and is used to predict outcomes in 2012–2014. Outcomes include utilization and the likelihood of a new chronic disease.
Our sample of 98,142 adult patients was drawn from primary care clinic users. To be included, patients had to have a score in 2011 and at least one clinic visit in each of the three subsequent years.
level is a significant predictor of utilization. Less activated patients had significantly higher odds of utilization compared to those with high scores. Similarly, patients with low scores were more likely to have a new chronic disease diagnosis over each of the years of observation.
Assessing patient activation may help to identify patients who could benefit from greater support. Such an approach may help s reach population health management goals.