Conectar
To examine the role of nurse–patient mutuality on three self-care behaviours in chronic illness patients.
A cross-sectional multi-centre study was conducted.
Mutuality was measured with the Nurse–Patient Mutuality in Chronic Illness scale which has the dimensions of developing and going beyond, being a point of reference and deciding and sharing care, and self-care was measured with the Self-care of Chronic Illness Inventory (SC-CII). Multivariable linear regression analyses were used to assess the contribution of three dimensions of mutuality on self-care maintenance, monitoring and management behaviours controlling for patient gender, age, education, number of medications, and presence of a family caregiver.
The sample included 465 inpatients and outpatients with at least one chronic illness. The three dimensions of mutuality had different roles in their influence on the three dimensions of self-care. Developing and going beyond was significantly associated with self-care maintenance and self-care monitoring behaviours. Point of reference was significantly associated with self-care maintenance behaviour. Deciding and sharing care was significantly associated with self-care monitoring and self-care management behaviours.
The mutuality between nurse and patient may be a novel area of research to support and improve patient self-care behaviours with implications for clinical practice and education.
Mutuality between nurse and patient increases patient engagement, symptom recognition, decision-making process and patient-centred approach favouring the development of self-care behaviours.
Mutuality between nurse and patient is a new concept and its association with the patient outcomes could bring relevance to the nursing profession. Self-care behaviours are important in the management of chronic diseases, but are difficult to perform. Mutuality between nurse and patient influences the three different behaviours of self-care in chronic illness, for this reason it is important to increase the level of mutuality in this dyad.
STROBE checklist for cross-sectional studies was followed in this study.
Patients were involved in the sample of the study.
To examine studies involving the impact of telerehabilitation (TLR), tele-training and tele-support on the dyad stroke survivor and caregiver in relation to psychological, physical, social and health dimensions.
A systematic review was conducted.
The following electronic databases were consulted until September 2023: PsycInfo, CINAHL, Eric, Ovid, PubMed, Scopus, Cochrane Central and Web of Science.
It was conducted and reported following the checklists for Reviews of PRISMA 2020 Checklist. Critical evaluation of the quality of the studies included in the review was performed with the Joanna Briggs Institute Checklists.
A total of 2290 records were identified after removing duplicates, 501 articles were selected by title and abstract and only 21 met the inclusion criteria. It included 4 quasi-experimental studies, 7 RCTs, 1 cohort study and 9 qualitative studies. The total number of participants between caregivers and stroke survivors was 1697, including 858 stroke survivors and 839 caregivers recruited from 2002 to 2022. For a total of 884 participants who carried out TLR activities in the experimental groups,11 impact domains were identified: cognitive/functional, psychological, caregiver burden, social, general health and self-efficacy, family function, quality of life, healthcare utilization, preparedness, quality of care and relationship with technology.
The results support the application of telehealth in the discharge phase of hospitals and rehabilitation centres for stroke survivors and caregivers. TLR could be considered a substitute for traditional rehabilitation only if it is supported by a tele-learning programme for the caregiver and ongoing technical, computer and health support to satisfy the dyad's needs.
Designing a comprehensive telemedicine programme upon the return home of the dyad involved in the stroke improves the quality of life, functional, psychological, social, family status, self-efficacy, use of health systems and the dyad's preparation for managing the stroke.
No patient or public contribution.
To catch a representative view of a multicultural population's needs.
Qualitative study.
Semi-structured interviews were conducted from July 2022 to January 2023 with the project's stakeholders, migrants, and residents. Data analysis was performed using a multimethod textual analysis technique.
Territorial barriers, lack of social network, and specific professionals' training emerged as healthcare delivery obstacles. For migrants, language improvement emerged as a health priority. A deep relationship with migrants emerged as a deficiency for residents.
A welcoming project equipped with solid leadership and the right resources can be fundamental in mediating health promotion and integration. In this process, the involvement of the resident population is essential.
Analysing the migrants' needs and the strengths and limitations of a reception system could help identify the challenges for professionals in delivering culturally competent care. In this context, the nurse's role becomes relevant, being responsible for taking charge and caring for the population and the link between professionals and the population.
The study addressed the problem of improving the overall health of migrants, refugees, and asylum seekers, mainly focusing on reception and integration into a new society process.
Worse health was identified with adaptation, integration, and family problems. Territorial barriers emerged, hindering good health.
These research findings can be valuable for health professionals who want to improve the reception process and enhance a care model integrated with residents.
No patient or public contribution.
To describe the research report, we referred to the COREQ checklist (Tong et al., 2007).
Patients with heart failure experience multiple co-occurring symptoms that lower their quality of life and increase hospitalization and mortality rates. So far, no heart failure symptom cluster study recruited patients from community settings or focused on symptoms predicting most clinical outcomes. Considering physical and psychological symptoms together allows understanding how they burden patients in different combinations. Moreover, studies predicting symptom cluster membership using variables other than symptoms are lacking. We aimed to (a) cluster heart failure patients based on physical and psychological symptoms and (b) predict symptom cluster membership using sociodemographic/clinical variables.
Secondary analysis of MOTIVATE-HF trial, which recruited 510 heart failure patients from a hospital, an outpatient and a community setting in Italy.
Cluster analysis was performed based on the two scores of the Hospital Anxiety-Depression scale and two scores of the Heart-Failure Somatic Perception Scale predicting most clinical outcomes. ANOVA and chi-square test were used to compare patients' characteristics among clusters. For the predictive analysis, we split the data into a training set and a test set and trained three classification models on the former to predict patients' symptom cluster membership based on 11 clinical/sociodemographic variables. Permutation analysis investigated which variables best predicted cluster membership.
Four clusters were identified based on the intensity and combination of psychological and physical symptoms: mixed distress (high psychological, low physical symptoms), high distress, low distress and moderate distress. Clinical and sociodemographic differences were found among clusters. NYHA-class (New York Heart Association) and sleep quality were the most important variables in predicting symptom cluster membership.
These results can support the development of tailored symptom management intervention and the investigation of symptom clusters' effect on patient outcomes. The promising results of the predictive analysis suggest that such benefits may be obtained even when direct access to symptoms-related data is absent.
These results may be particularly useful to clinicians, patients and researchers because they highlight the importance of addressing clusters of symptoms, instead of individual symptoms, to facilitate symptom detection and management. Knowing which variables best predict symptom cluster membership can allow to obtain such benefits even when direct access to symptoms-data is absent.
Four clusters of heart failure patients characterized by different intensity and combination of psychological and physical symptoms were identified. NYHA class and sleep quality appeared important variables in predicting symptom cluster membership.
The authors have adhered to the EQUATOR guidelines STROBE to report observational cross-sectional studies.
Patients were included only for collecting their data.
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