RT Journal Article SR Electronic T1 Effectiveness of personalised support for self-management in primary care: a cluster randomised controlled trial JF British Journal of General Practice JO Br J Gen Pract FD British Journal of General Practice SP e354 OP e361 DO 10.3399/bjgp16X684985 VO 66 IS 646 A1 Nathalie Eikelenboom A1 Jan van Lieshout A1 Annelies Jacobs A1 Frank Verhulst A1 Joyca Lacroix A1 Aart van Halteren A1 Maarten Klomp A1 Ivo Smeele A1 Michel Wensing YR 2016 UL http://bjgp.org/content/66/646/e354.abstract AB Background Self-management support is an important component of the clinical management of many chronic conditions. The validated Self-Management Screening questionnaire (SeMaS) assesses individual characteristics that influence a patient’s ability to self-manage.Aim To assess the effect of providing personalised self-management support in clinical practice on patients’ activation and health-related behaviours.Design and setting A cluster randomised controlled trial was conducted in 15 primary care group practices in the south of the Netherlands.Method After attending a dedicated self-management support training session, practice nurses in the intervention arm discussed the results of SeMaS with the patient at baseline, and tailored the self-management support. Participants completed a 13-item Patient Activation Measure (PAM-13) and validated lifestyle questionnaires at baseline and after 6 months. Data, including individual care plans, referrals to self-management interventions, self-monitoring, and healthcare use, were extracted from patients’ medical records. Multilevel multiple regression was used to assess the effect on outcomes.Results The PAM-13 score did not differ significantly between the control (n = 348) and intervention (n = 296) arms at 6 months. In the intervention arm, 29.4% of the patients performed self-monitoring, versus 15.2% in the control arm (effect size r = 0.9, P = 0.01). In the per protocol analysis (control n = 348; intervention n = 136), the effect of the intervention was significant on the number of individual care plans (effect size r = 1.3, P = 0.04) and on self-monitoring (effect size r = 1.0, P = 0.01).Conclusion This study showed that discussing SeMaS and offering tailored support did not affect patient activation or lifestyle, but did stimulate patients to self-monitor and use individual care plans.