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Randomized Controlled Trial
. 2016 May;66(646):e354-61.
doi: 10.3399/bjgp16X684985. Epub 2016 Apr 14.

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

Nathalie Eikelenboom  1 , Jan van Lieshout  1 , Annelies Jacobs  1 , Frank Verhulst  2 , Joyca Lacroix  3 , Aart van Halteren  3 , Maarten Klomp  4 , Ivo Smeele  4 , Michel Wensing  1
Affiliations
Randomized Controlled Trial

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

Nathalie Eikelenboom et al. Br J Gen Pract. 2016 May.

Abstract

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.

Keywords: chronic disease; personalised medicine; primary care; self-care; self-management.

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Figures

Figure 1.
Figure 1.
Example of a SeMaS profile.
Figure 2.
Figure 2.
Trial flowchart.
See this image and copyright information in PMC

References

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