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To analyse the concept of eating experiences in people living with dementia.
Rodgers' evolutionary method of concept analysis was used as a framework for the paper.
The literature was searched using electronic databases PubMed, Google Scholar, CINHAL, PsycInfo, Web of Science, Embase and Elsevier databases. These databases cover a variety of disciplines, including but not limited to nursing, medicine and occupational therapy. The relevant literature published from 1989 to April 2023 was thoroughly examined. Any quantitative or qualitative studies published in English focused on eating or dining experiences in people with dementia were included.
Rodgers' evolutionary method for concept analysis was used. The attributes, antecedents, consequences and case examples of the concept were identified.
Twenty-two articles met the inclusion criteria, identifying key attributes of self-connection, the special journey of life and self-interpretation. Antecedents, as framed by the socio-ecological model, were categorized to represent intrapersonal (personal preferences, individual culture, mealtime routines), interpersonal (social interaction) and environmental (dining room environment, policies) factors. Consequences were divided into external (nutritional health, physical health and quality of life) and internal (personhood, autonomy and independence, dignity and feeling valued and mental well-being) domains.
A theoretical definition and conceptual model of eating experiences in people living with dementia was developed. The identified attributes, antecedents and consequences can be utilized in nursing education, research and intervention approaches.
This article allows nurses and other healthcare professionals to better understand people living with dementia through the relationship between eating and interpersonal, intrapersonal and environmental aspects to develop personalized interventions and care strategies to achieve an optimal quality of life.
Not applicable.
This study aimed to explore the psychosocial adjustment of enterostomy patients on a national scale.
Based on a national cross-sectional survey.
From December 2021 and February 2023, a total of 22,040 enterostomy patients were assessed using the ostomy adjustment inventory-20. Initial analysis involved employing the chi-square test or Kruskal-Wallis H test to identify factors influencing the psychosocial adjustment of these patients. Subsequently, multinomial logistic regression was used to determine the factors affecting the classification of psychosocial adjustment levels of enterostomy patients. The reporting of this study adhered to the STROBE checklist.
Eventually 21,124 patients with enterostomy were included in this study, out of which 7788 (36.9%) patients with low level of psychosocial adjustment, 11,803 (55.8%) patients with medium level of psychosocial adjustment and 1533 (7.3%) patients with high level of psychosocial adjustment. The factors influencing the classification of psychosocial adjustment levels of enterostomy patients were gender, educational background, carer, enterostomy self-care knowledge score and medical payment method.
The overall psychosocial adjustment level of enterostomy patients is not optimistic, and the factors that may affect the classification of their psychosocial adjustment level are analysed. Individualised intervention should be given according to different psychosocial adjustment levels of enterostomy patients.
The number of enterostomy patients with a high level of psychosocial adjustment is small in relation to the total number of enterostomy patients, and caregivers can provide health education to enterostomy patients by analysing the factors affecting the level of psychosocial adjustment of enterostomy patients.
None.
To develop a nomogram to provide a screening tool for recognising patients at risk of post-operative pain undergoing abdominal operations.
Risk prediction models for acute post-operative pain can allow initiating prevention strategies, which are valuable for post-operative pain management and recovery. Despite the increasing number of studies on risk factors, there were inconsistent findings across different studies. In addition, few studies have comprehensively explored predictors of post-operative acute pain and built prediction models.
A prospective observational study.
A total of 352 patients undergoing abdominal operations from June 2022 to December 2022 participated in this investigation. A nomogram was developed for predicting the probability of acute pain after abdominal surgery according to the results of binary logistic regression. The nomogram's predictive performance was assessed by discrimination and calibration. Internal validation was performed via Bootstrap with 1000 re-samplings.
A total of 139 patients experienced acute post-operative pain following abdominal surgery, with an incidence of 39.49%. Age <60, marital status (unmarried, divorced, or widowed), consumption of intraoperative remifentanil >2 mg, indwelling of drainage tubes, poor quality sleep, high pain catastrophizing, low pain self-efficacy, and PCIA not used were predictors of inadequate pain control in patients after abdominal surgery. Using these variables, we developed a nomogram model. All tested indicators showed that the model has reliable discrimination and calibration.
This study established an online dynamic predictive model that can offer an individualised risk assessment of acute pain after abdominal surgery. Our model had good differentiation and calibration and was verified internally as a useful tool for risk assessment.
The constructed nomogram model could be a practical tool for predicting the risk of experiencing acute post-operative pain in patients undergoing abdominal operations, which would be helpful to realise personalised management and prevention strategies for post-operative pain.
The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines were adopted in this study.
Before the surgery, research group members visited the patients who met the inclusion criteria and explained the purpose and scope of the study to them. After informed consent, they completed the questionnaire. The patients' pain scores (VAS) were regularly assessed and documented by the bedside nurse for the first 3 days following surgery. Other information was obtained from medical records.
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