SAT0615-HPR FACTORS ASSOCIATED WITH PATIENT ACTIVATION IN PEOPLE WITH RHEUMATIC CONDITIONS

Abstract

Background:Patient activation describes the skills, abilities and confidence someone uses to actively manage their health. Patient activation abilities in rheumatology are unclear, and there is little knowledge about factors that explain variation in patient activation. Therefore, understanding these factors can contribute to the development of appropriate, rheumatology-specific interventions targeting activation. The Patient Activation Measure (PAM) captures patient activation and provides people with both a score and a level to describe how able they are to actively manage their health.Objectives:To explore longitudinal changes to patient activation (measured using the PAM) (Hibbardet al., 2005), and the PAM’s associations with related constructs (including self-efficacy, health literacy and health beliefs) in a sample of participants with inflammatory arthritis.Methods:A postal survey was administered at two time points that were nine months apart. This survey captured the PAM and a range of clinical, demographic and psychosocial variables in a sample of rheumatology patients from 6 NHS sites in England. The measures included in the survey had been selected based on both theory and prior qualitative research and the survey pack was designed in collaboration with a patient partner. Following data collection, candidate variables for a multiple regression analysis were initially identified using univariable analysis. These variables were included in a forced entry multiple regression at each time point, and the variables that were statistically significant contributors at a 0.1 level were included in the final models. Changes to PAM scores over time were investigated using a Wilcoxon matched-pair signed rank test.Results:251 participants completed the first survey and 154 participants completed both full surveys. Self-efficacy, illness beliefs, health literacy and health locus of control were consistently associated with variance in PAM scores. The first three factors were also predictive of variance in PAM levels. With the 154 participants who fully completed both surveys, there was a statistically significant difference in participants’ PAM scores between the two surveys.Conclusion:The findings suggest factors that may be targets for interventions that aim to increase patient activation. The changes to PAM scores across the data collection period also suggest that when using the PAM as a clinical tool, healthcare professionals would benefit from incorporating regular reviews and preparations for any increases or reductions in patient activation.