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; η = .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.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.ijnurstu.2020.103604 | DOI Listing |
PLoS One
January 2025
School of Nursing and Midwifery, University of Rwanda, Kigali, Rwanda.
Introduction: The World Health Organization (WHO) has emphasized the importance of ensuring respectful and dignified childbirth experiences. However, many countries, including Rwanda, have documented negative experiences during childbirth. Identifying best practices can help uncover sustainable solutions for resource-limited settings rather than focusing solely on the challenges and negative aspects.
View Article and Find Full Text PDFIntroduction: Sharing patient health information and biospecimens can improve health outcomes and accelerate breakthroughs in medical research. But patients generally lack understanding of how their clinical data and biospecimens are used or commercialized for research. In this mixed methods project, we assessed the impact of communication materials on patient understanding, attitudes, and perceptions.
View Article and Find Full Text PDFCureus
December 2024
Trauma and Orthopedics, Lister Hospital, Stevenage, GBR.
Introduction The internet age has broadened the horizons of modern medicine, and the ever-increasing scope of artificial intelligence (AI) has made information about healthcare, common pathologies, and available treatment options much more accessible to the wider population. Patient autonomy relies on clear, accurate, and user-friendly information to give informed consent to an intervention. Our paper aims to outline the quality, readability, and accuracy of readily available information produced by AI relating to common foot and ankle procedures.
View Article and Find Full Text PDFCureus
December 2024
Medical Education, ABWA Medical College, Faisalabad, PAK.
Background: The inclusion of artificial intelligence in medical education, specifically through the use of ChatGPT (OpenAI, San Francisco, CA), has transformed learning and generated many ethical questions. This study aims to analyze the medical students' ethical concerns about using ChatGPT in medical education, focusing on privacy, accuracy, and professional integrity.
Methods: The study format was a cross-sectional survey distributed to 219 medical students at ABWA Medical College, Pakistan.
Cureus
January 2025
Department of Research, Department of Regenerative Medicine, Rinaldi Fontani Foundation, Florence, ITA.
An 88-year-old woman presented with a longstanding history of dizziness, tremors, and progressive mental and physical decline, significantly impairing her mobility and autonomy. Recently discharged from an ICU, the patient required extensive support for daily activities. Diagnostic evaluations, including EEG and analysis, revealed irregular frequency peaks and altered cortical activity, particularly in the frontal and prefrontal regions.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!