Are person-related and socio-structural factors associated with nurses' self-management support behavior? A correlational study. Issue 2 (February 2018)

• Record Type: Journal Article
• Authors: Duprez, Veerle; Beeckman, Dimitri; Verhaeghe, Sofie; Van Hecke, Ann
• Is Part Of: Patient education and counseling. Volume 101:Issue 2(2018)
• Page Start: 276
• Page End: 284
• Publication Date: 2018-02
• Subjects: Chronic care -- Competencies -- Nurses -- Education -- Self-management support -- Self-efficacy -- SEPSS36; Patient education -- Periodicals; Health counseling -- Periodicals; Health education -- Periodicals; Counseling -- Periodicals; Patient Education -- Periodicals; Éducation des patients -- Périodiques; Counseling -- Périodiques; Éducation sanitaire -- Périodiques; 615.5071
• DOI: 10.1016/j.pec.2017.08.011
• Languages: English
• ISSNs: 0738-3991

Abstract

Highlights: Nurses are expected to support patients to self-manage their chronic condition. Gaps in nurses self-management support, mainly in goalsetting and shared decisions. Support for medical, role and emotional management needs to be established. Self-efficacy, priority, supervisor and training predict self-management support. Abstract: Objective: To explore nurses' self-perceived behavior of supporting patients' self-management, and its association with person-related and socio-structural factors. Methods: Correlational study in a sample of nurses from nine general hospitals, three community healthcare organizations, and six private community practices. Nurses with >50% of their patients living with a chronic condition were eligible to participate. Data were collected at two time-points. Self-management support behavior was measured by the SEPSS-36 instrument. The person-related and socio-structural associated factors were derived from behavioral theories and measured by validated questionnaires. Results: Nurses (N = 477) scored overall low on self-management support behavior. Nurses lacked mainly competencies in collaborative goalsetting, shared decision making and organizing follow-up. Factors predicting nurses' behavior in supporting patients' self-management were self-efficacy, priority, perceived supervisor support and training in self-management support. This model explained 51.7% of the variance in nurses' behavior. Conclusion: To date, nurses do not optimally fulfil their role in supporting patients' self-management. Self-management support is practiced from a narrow medical point of view and primarily consists of informing patients, which is the lowest level of patient participation. Practice implications: It is essential to better prepare and support nurses − and by extend all healthcare professionals − for the challenges of supporting patients' self-management.