The Relationship Between Lifelong Learning Perceptions of Pediatric Nurses and Self-Confidence and Anxiety in Clinical Decision-Making Processes

Acar, Mukaddes Demir; Kilinc, Cemre Gul; Demir, Osman

doi:10.1080/24694193.2023.2171507

Cited by 6 publications

(2 citation statements)

References 33 publications

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“…This aligns with Keij et al's (2023) study, which highlighted that patients' expertise in their own health, circumstances, interests and preferences facilitates SDM. On the contrary, roles are influenced by factors, for example, a lifelong learning climate can have a positive impact on confidence of nurses in the decision-making process (Demir Acar et al, 2023). Such factors presumably contribute to patients' SDM involvement as well.…”

Section: Main Findings In Comparison With Other Literaturementioning

confidence: 99%

Patients' experiences of shared decision‐making in nursing care: A qualitative study

Van Der Ploeg‐Dorhout,

Van Den Boogaard,

Reinders‐Messelink

et al. 2024

Journal of Clinical Nursing

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AimTo explore patients' experiences of shared decision‐making, in nursing care during their stay in a healthcare institution.DesignThis study employed a qualitative descriptive design.MethodsTwenty participants were interviewed from two rehabilitation centres, a nephrology ward of a hospital, and a rehabilitation ward of a long‐term care facility. A constant comparative method was used for the inductive analysis.ResultsThe main theme was ‘feeling seen and understood’, in the context of person‐centred care, which served as the unifying thread across five themes. The five themes included the importance of a positive nurse–patient relationship as a foundation for shared decision‐making. Next, patients experienced collaboration, and this was influenced by verbal and non‐verbal communication. Another theme was that patients often felt overwhelmed during their stay, affecting shared decision‐making. The fourth theme was that many decisions were not made through the shared decision‐making process but were still perceived as satisfactory. The final theme highlighted patients' perspectives on their role in decision‐making and influencing factors.ConclusionPatients describe how feeling seen and understood is a prerequisite for shared decision‐making as a part of person‐centred care. For nurses, this implies that they should focus on aspects such as building a good relationship and acknowledgement of patients' feelings and circumstances, next to empowering patients to feel knowledgeable and valued. This way patient's motivation to participate in shared decision‐making will be enhanced.Reporting MethodFollowing the EQUATOR guidelines, reporting was guided by the Consolidated Criteria for Reporting Qualitative Research (COREQ).Patient or Public ContributionPatients were involved in the study through interviews during the research process and member checks during analysis.Implications for the profession and/or patient careBefore initiating shared decision‐making processes, prioritise making the patient feel seen and understood. Be mindful that patients often feel overwhelmed during their stay. Use a person‐centred approach to make patients feel knowledgeable—this empowers them for shared decision‐making.ImpactResearch on patients' experiences of shared decision‐making in nursing care is limited, yet crucial for understanding patients' needs in shared decision‐making. This study highlights patients' perceptions that shared decision‐making is best facilitated within the nurse–patient relationship by nurses who primarily focus on ensuring that patients feel acknowledged and understood.

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Section: Main Findings In Comparison With Other Literaturementioning

confidence: 99%

Patients' experiences of shared decision‐making in nursing care: A qualitative study

Van Der Ploeg‐Dorhout,

Van Den Boogaard,

Reinders‐Messelink

et al. 2024

Journal of Clinical Nursing

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“…Breast cancer diagnosis often relies on multiple sources of data, such as mammograms, biopsies, genetic information, and patient medical histories [75][76][77]. Lifelong learning systems can seamlessly integrate and synthesize information from various modalities, creating a more holistic and comprehensive view of a patient's condition.…”

Section: Lifelong Learning For Breast Cancer Detectionmentioning

confidence: 99%

Deep Learning Theories and Methods for Breast Cancer Classification

Wang

2023

Preprint

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Breast cancer is a common malignant tumour and studies have shown that early and accurate detection is crucial for patients. With the maturity of medical imaging and deep learning development, significant progress has been made in breast cancer classification, which greatly improves the accuracy and efficiency of classification. This review focuses on deep learning, migration learning, GAN, and lifelong learning to elaborate and summarise the important roles arising from breast cancer detection. This review also examines the dataset and labeling issues required for breast cancer classification. In conclusion, at the end of the article, we look at future directions for breast cancer classification research, including cross-migration learning, multimodal data fusion, model interpretability, and lifelong learning, and also explore how to provide personalized treatment plans for patients.

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The relationship between clinical decision-making levels and self-efficacy levels of operating room nurses

Kaya,

Kubat Bakir

2024

Perioperative Care and Operating Room Management

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The Relationship Between Lifelong Learning Perceptions of Pediatric Nurses and Self-Confidence and Anxiety in Clinical Decision-Making Processes

Cited by 6 publications

References 33 publications

Patients' experiences of shared decision‐making in nursing care: A qualitative study

Patients' experiences of shared decision‐making in nursing care: A qualitative study

Deep Learning Theories and Methods for Breast Cancer Classification

The relationship between clinical decision-making levels and self-efficacy levels of operating room nurses

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