Nurses’ interaction styles when supporting patients in self-management: A profile approach

Duprez, Veerle; Kaap‐Deeder, Jolene van der; Beeckman, Dimitri; Verhaeghe, Sofie; Vansteenkiste, Maarten; Hecke, Ann Van

doi:10.1016/j.ijnurstu.2020.103604

Cited by 11 publications

(10 citation statements)

References 42 publications

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“…By using LPA, researchers can portray potentially different patterns of work engagement amongst nurses, which could help nursing managers and other stakeholders tailor interventions to support frontline nurses. Previous studies in the nursing field applied LPA to determine the subgroups of work demands, interaction styles, healthy preemployment lifestyle and moral sensitivity to obtain associations between different profiles and turnover and job satisfaction (Duprez et al, 2020 ; Han et al, 2019 ; Zhang et al, 2020 ). The findings of these studies provide targeted guidance for intervention.…”

Section: Introductionmentioning

confidence: 99%

Subtypes of work engagement in frontline supporting nurses during COVID‐19 pandemic: A latent profile analysis

Yin

Lyu

Zuo

et al. 2022

Journal of Advanced Nursing

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Aim The aim was to examine the subgroups of work engagement in frontline nurses during the COVID‐19 pandemic. Background The pandemic may affect the work engagement of nurses who have direct contact with infected patients and lead to a poor quality of care. Identifying classification features of work engagement and tailoring interventions to support frontline nurses is imperative. Design This study utilized a cross‐sectional study design. Methods Three hundred fifty‐five nurses were enrolled in this cross‐sectional study from 14 February to 15 April 2020. A latent profile analysis was performed to identify classification features of work engagement. Multiple logistic regression analyses were used to examine predictors of profile membership. Results A four‐profile model provided the best fit. The four profiles were titled ‘low work engagement’ ( n = 99), ‘high vigour‐low dedication and absorption’ ( n = 58), ‘moderate work engagement’ ( n = 63) and ‘high work engagement’ ( n = 135). A regression analysis suggested that young nurses and nurses who were the only children of their family were more likely to be in the ‘low work engagement’ and ‘high vigour‐low dedication and absorption’ groups. Conclusion This study highlights the importance of tailoring interventions for frontline supporting nurses by considering their distinct work engagement patterns, especially during the COVID‐19 pandemic, to improve the promotion of work satisfaction and quality of care. Impact This was the first study to explore the latent profiles of work engagement in frontline nurses during the COVID‐19 pandemic. Over 40% of nurses were in the ‘low work engagement’ and ‘high vigour‐low dedication and absorption’ groups and reported low levels of work engagement. Understanding different patterns of work engagement in frontline nurses can help nursing managers provide emotional, material and organizational support based on the features of each latent profile, which may improve the quality of care and patient safety.

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Section: Introductionmentioning

confidence: 99%

Subtypes of work engagement in frontline supporting nurses during COVID‐19 pandemic: A latent profile analysis

Yin

Lyu

Zuo

et al. 2022

Journal of Advanced Nursing

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“…Work characteristics are not only important because of their possible effects on autonomous motivation [ 26 ]. For example, job autonomy is also crucial for making decisions that are in the best interest of patients and indispensable for continuous quality improvement, as it enables workers to act proactively and respond appropriately in the face of unanticipated events [ 10 , 25 , 32 , 33 ]. Whereas technology, such as the EHR, might be useful to enforce organizational policy [ 35 ], it is important to realize that in a complex and unpredictable setting such as healthcare, there is a limit to prescribing professional conduct through policy [ 12 ].…”

Section: Discussionmentioning

confidence: 99%

“…The SDT describes a continuum of various types of motivation, ranging (simply put) from not wanting to do something (amotivation), through having to do something (controlled or extrinsic motivation), to wanting to do something (autonomous or intrinsic motivation) [ 8 ]. In the current study, we focus on autonomous motivation, as research has shown that an engaged and autonomously motivated healthcare workforce is essential for the delivery of high-quality care [ 10 , 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Electronic health record implementation and healthcare workers’ work characteristics and autonomous motivation—a before-and-after study

Veenstra

Rietzschel

Molleman

et al. 2022

BMC Med Inform Decis Mak

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Background Technological innovation in healthcare is often assumed to contribute to the quality of care. However, the question how technology implementation impacts healthcare workers has received little empirical attention. This study investigates the consequences of Electronic Health Record (EHR) implementation for healthcare workers’ autonomous work motivation. These effects are further hypothesized to be mediated by changes in perceived work characteristics (job autonomy and interdependence). Additionally, a moderating effect of profession on the relationship between EHR implementation and work characteristics is explored. Methods A quantitative uncontrolled before-and-after study was performed among employees from a large university medical centre in the Netherlands. Data were analysed following the component approach for testing a first stage moderated mediation model, using Generalized Estimating Equations (GEE). Results A total of 456 healthcare workers (75 physicians, 154 nurses, 145 allied healthcare professionals, and 82 administrative workers) finished both the baseline and the follow-up survey. After EHR implementation, perceived job autonomy decreased, whereas interdependence increased. In line with our hypothesis, job autonomy was positively associated with autonomous motivation. In contrast to our expectations, interdependence also showed a positive association with autonomous motivation. Autonomous motivation was stable over the course of EHR implementation. This study did not provide support for a moderating effect of profession: no differences were observed between the various professions regarding the changes in their experienced job autonomy and interdependence after EHR implementation. Conclusions Our study showed that healthcare professionals’ perceptions of their work characteristics, but not their autonomous motivation, were changed after EHR implementation, and that these experiences were relatively similar for physicians, nurses, and allied healthcare professionals. The stability of healthcare workers’ autonomous motivation may be explained by the opposite effects of decreased job autonomy and increased interdependence, and by the EHR being in line with healthcare workers’ values. The changes in job autonomy and interdependence may have consequences beyond motivation, for example by affecting clinical decision-making, proactive behaviour, and the quality of teamwork. These potential consequences of EHR implementation warrant further research.

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“…Increasing the unit of pro le from 1 to K, a series of latent pro le models were tted to the data until adding more pro les did not improve the explanatory power [20,21]. The best-tting model was determined based on the following series of model t statistics [30,31]. Moreover, interpretability based on theoretical and clinical relevance and parsimony are of equal importance for nal model selection, and at least 5% of the total samples in each pro le is acceptable [32,33].…”

Section: Discussionmentioning

confidence: 99%

Effect of Illness Perception on Predicting Breast Cancer-related Lymphedema Risk Management Behaviors Among Breast Cancer Patients: a Comparison Between Dimensions and Profiles

Chen

Wang

Luo

et al. 2022

Preprint

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Purpose: To assess illness perceptions regarding breast cancer-related lymphedema (BCRL) before discharge following surgery and BCRL risk management behaviors at 3 months postsurgery among Chinese breast cancer patients and to compare the effects of illness perception dimensions and illness perception profiles on predicting BCRL risk management behaviors using two analysis approaches.Methods: A total of 213 breast cancer patients completely participated in this follow-up study. The variable-centered approach (i.e., Pearson correlation analysis) and person-centered approach (i.e., latent profile analysis (LPA) followed by comparison between profiles) were adopted to examine the relationship between illness perception and BCRL risk management behaviors. Multiple linear regression analysis was used to compare the amount of variability in BCRL risk management behaviors explained by illness perception dimensions or illness perception profiles.Results: Using the variable-centered approach, “illness coherence” and “timeline (cyclical)” dimensions were found to be significant components of illness perception predicting BCRL risk management behaviors in the whole population. Using the person-centered approach, LPA identified two profiles and revealed significant differences in BCRL risk management behaviors between them. Overall, illness perception profiles explained smaller amounts of variability in BCRL risk management behaviors than illness perception dimensions at 3 months postsurgery.Conclusions: Based on illness perception regarding BCRL, breast cancer patients were categorized into two profiles. Illness perception dimensions and illness perception profiles showed certain effects on predicting BCRL risk management behaviors. These two methods provided different perspectives on the design and implementation of future interventions addressing maladaptive illness perception regarding BCRL.

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Nurses’ interaction styles when supporting patients in self-management: A profile approach

Cited by 11 publications

References 42 publications

Subtypes of work engagement in frontline supporting nurses during COVID‐19 pandemic: A latent profile analysis

Subtypes of work engagement in frontline supporting nurses during COVID‐19 pandemic: A latent profile analysis

Electronic health record implementation and healthcare workers’ work characteristics and autonomous motivation—a before-and-after study

Effect of Illness Perception on Predicting Breast Cancer-related Lymphedema Risk Management Behaviors Among Breast Cancer Patients: a Comparison Between Dimensions and Profiles

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