Effectiveness of personalised support for self-management in primary care: a cluster randomised controlled trial

Descripción:
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.

Como citar:

Eikelenboom 1, van Lieshout J, Jacobs A, Verhulst F, Lacroix J, van Halteren A, Klomp M, Smeele I, Wensing M.  Effectiveness of personalised support for self-management in primary care: a cluster randomised controlled trial. Br J Gen Pract. 2016 May;66(646):e354-61. Available at: http://bjgp.org/content/66/646/e354.long

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.

Editor: