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[Supporting patients in self-management: moving to a personalised approach]
N Eikelenboom1, J van Lieshout, A Jacobs
1* Dit onderzoek werd eerder gepubliceerd in The British Journal of General Practice (2016;66:e354-61) met als titel 'Effectiveness of personalised support for self-management in primary care: a cluster randomised controlled trial'. Afgedrukt met toestemming.
Objective:
The aim of this research was to assess the effect of providing personalised self-management support on patient activation (knowledge, skills, self-efficacy) and self-management behaviour.
Design:
Cluster randomised trial in 15 general practices (Dutch Trial Register No.: NTR 3960).
Method:
Patients aged 18 years or older with a chronic condition were invited to participate in the study. The Self-Management Screening (SeMaS) questionnaire - which illustrates barriers to self-management - was used as a tool for personalised self-management support. Nurse practitioners in the intervention practices were trained for 2 hours in using SeMaS and personalising self-management support on the basis of the SeMaS profile. At baseline and after 6 months, patients filled in questionnaires on patient activation (PAM-13) and lifestyle. Using data from the questionnaires and medical records, the use of individual care plans, referrals to self-management interventions, self-monitoring and healthcare use were assessed. We used a multiple multilevel regression model for data analysis.
Results:
After 6 months, no difference was found in patient activation between the control group (n = 348) and the intervention group (n = 296). 29.4% of the patients in the intervention group performed self-monitoring, versus 15.2% in the control group (regression coefficient r = 0.9, p = 0.01). In the per-protocol analysis (control n = 348; intervention n = 136), the number of individual care plans (r = 1.3, p = 0.04) and the number of patients performing self-monitoring (r = 1.0; p = 0.01) were higher in the intervention group.
Conclusion:
Personalised self-management support with the use of the SeMaS method stimulates self-monitoring and the use of individual care plans. The intervention had no effect on patient activation or lifestyle. Given the positive secondary outcomes, the further potential of the tool should be researched.
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