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Nurses' interaction styles when supporting patients in self-management: A profile approach
University Centre for Nursing and Midwifery, Department of Public Health and Primary Care, Ghent University, Ghent, Belgium.
Developmental Psychology, Department of developmental, personality and social psychology; Ghent University, Ghent, Belgium .
Örebro University, School of Health Sciences. University Centre for Nursing and Midwifery, Department of Public Health and Primary Care, Ghent University, Ghent, Belgium; School of Nursing & Midwifery, Royal College of Surgeons in Ireland (RCSI), Dublin, Ireland .ORCID iD: 0000-0003-3080-8716
University Centre for Nursing and Midwifery, Department of Public Health and Primary Care, Ghent University, Ghent, Belgium; VIVES University College, Department Health Care, Roeselare, Belgium.
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2020 (English)In: International Journal of Nursing Studies, ISSN 0020-7489, E-ISSN 1873-491X, Vol. 110, article id 103604Article in journal (Refereed) Published
Abstract [en]

Background: The rising attention to participation and self-regulation in chronic care requires nurses to move towards an approach in which patients' perspectives and choices are central, and in which patients' competency is fostered. According to Self-Determination Theory, nurses can differ in the way they interact with patients living with a chronic illness. That is, they can interact in an autonomy-supportive, controlling, structuring or chaotic way. However, in practice, nurses often use these styles side by side depending on personal and situational demands.

Objective: Rooted in Self-Determination Theory, this study sought to identify distinct profiles among nurses involving the co-occurrence of autonomy support, structure, control and chaos (aim 1), and to examine whether such profiles are meaningfully driven by nurse-related indicators (aim 2).

Design: A cross-sectional design with latent profile analysis.

Methods: Data were collected using validated self-report questionnaires among nurses counselling chronically ill patients (N = 389). Latent profile analysis was performed to shed light on how nurses use different styles side by side; and subsequent MANCOVA testing was used to examine differences between the profiles in terms of nurse-related indicators.

Results: Four profiles could be identified, each characterised by a unique combination of differing degrees of autonomy support, structure, control and chaos. The profiles included a motivating profile (20.31%) characterised by the dominant presence of autonomy support and structure; a demotivating chaotic profile (17.74%) characterised by the dominant presence of chaos; an active profile (24.17%) where all styles were highly present; and an undifferentiated profile (37.79%) characterised by an average presence of all styles. These four profiles were meaningfully related to a set of nurse-related indicators. Multivariate analysis (Pillai's Trace test =.38, F(15, 756) = 7.28; p <.001; eta(2) =.13) indicated that job competency, job autonomy and high-quality motivation were most elevated in the motivating profile.

Conclusion: Profiling has supported our understanding of the natural co-occurrence of more motivating and demotivating styles among nurses when counselling patients in self-managing their life with chronic illness. The pattern of retained profiles indicates that, for some nurses, it will be important to move away from controlling or chaotic interactions. Future intervention development should augment nurses' competence levels and high-quality motivation, with attention to reduce the pressure in nurses to act in a result-based manner. Profiling can also be valuable to better assign nurses to an employment in chronic care, and to support their personal professional growth.

Place, publisher, year, edition, pages
Elsevier, 2020. Vol. 110, article id 103604
Keywords [en]
Counselling, Latent profile analysis, Nursing, Patient-centred care, Patient participation, Self-Determination Theory, Self-management
National Category
Nursing
Identifiers
URN: urn:nbn:se:oru:diva-87162DOI: 10.1016/j.ijnurstu.2020.103604ISI: 000578974900018PubMedID: 32702566Scopus ID: 2-s2.0-85088106593OAI: oai:DiVA.org:oru-87162DiVA, id: diva2:1498842
Available from: 2020-11-05 Created: 2020-11-05 Last updated: 2020-11-05Bibliographically approved

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Beeckman, Dimitri

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