This study aimed to test the psychometric properties of the Self-Care of Chronic Illness Inventory and the Self-Care Self-Efficacy scale in patients with cancer.
A multisite cross-sectional validation study was conducted.
Between November 2022 and July 2023, a convenience sample of 318 patients with cancer were enrolled in five Italian inpatient and outpatient facilities. Confirmatory factor analysis was performed on the three scales of the Self-Care of Chronic Illness Inventory and the Self-Care Self-Efficacy scale. Internal consistency was tested using Cronbach's alpha for unidimensional scales and McDonald's Omega for multidimensional scales. Construct validity was assessed with the global health status by Pearson's correlation. The COnsensus-based Standards for the selection of health Measurement INstruments reporting guidelines were followed for the reporting process.
Three hundred fourteen patients were included (median age: 55.5 years; male: 53.82%). Confirmatory factor analysis showed supportive fit indices for the three Self-Care of Chronic Illness Inventory scales (CFI: 0.977–1.000; SRMR: 0.004–0.78) and the Self-Care Self-Efficacy scale (CFI: 1.000; SRMR: 0.014). All scales demonstrated adequate internal consistency (0.89–0.99) and test–retest reliability (0.85–0.95). Construct validity was confirmed through correlations between Self-Care Self-Efficacy, each Self-Care of Chronic Illness Inventory scale, and global health status.
The Self-Care of Chronic Illness Inventory and Self-Care Self-Efficacy scales demonstrated excellent psychometric qualities and construct validity when administered to patients with cancer. Future research should explore self-care behaviours across different diseases and cultural contexts.
These tools can help develop targeted educational programs, improving patient outcomes.
Currently, there is a lack of knowledge regarding self-care behaviours in patients with cancer. These tools enable healthcare professionals to identify patient needs, design personalised interventions, and monitor their effectiveness over time.
No patient or public contribution.
To explore how older adult-family caregiver dyads jointly manage multiple chronic conditions. Specifically, it investigates how dyads (i) prioritise chronic diseases, (ii) make and negotiate decisions related to self-care and (iii) define and distribute self-care tasks and caregiver contributions.
A qualitative descriptive study using dyadic data collection and analysis.
Semi-structured interviews were conducted separately with chronically ill older adults and their family caregivers between July and December 2024. A hybrid inductive-deductive content analysis was applied. Dyadic analysis compared intra-dyad perspectives to identify patterns of agreement and disagreement.
Thirty-four dyads (n = 68 participants) were interviewed. Older adults had a mean age of 80.09 years (SD = 6.95) and were affected by a median of four chronic conditions. Family caregivers had a mean age of 51.71 years (SD = 14.59), with most being the older adults' children (66.67%) and women (82.35%). Five categories, comprising 25 subcategories, were derived from the data. Disease prioritisation varied within dyads: older adults often focused on conditions with the most disabling symptoms, while caregivers emphasised those with higher risks of complication. Decision-making roles ranged from older adult-led to caregiver-led to shared. Care organisation followed three models: collaborative, older adult-directed, or caregiver-directed. Challenges in managing diseases included treatment adherence, care coordination, emotional burden and addressing multiple symptoms simultaneously. Role distribution in disease management and decision-making was complex and occasionally misaligned, sometimes resulting in conflict. Collaborative dyads reported greater adaptability and balance, while incongruent dyads experienced relational and organisational strain.
Managing multiple chronic conditions in older adults is a relational process shaped by interpersonal dynamics and shared responsibilities with family caregivers. Recognising dyadic relational patterns is essential for designing targeted educational interventions. Nurses should incorporate dyadic assessments into routine care to improve outcomes for older adults and reduce caregiver burden.
This study highlights the importance of viewing chronic disease management as a dyadic process, rather than an individual task, involving both the older adult and the family caregiver. Tailored strategies that account for the relational dynamics within dyads, such as decision-making roles and care task distribution, are essential for effective chronic disease management.
Consolidated criteria for reporting qualitative studies (COREQ).
None.
Osteoporosis requires long-term self-care engagement, yet little is known about how individuals experience and manage self-care in everyday life. Understanding these experiences is essential to inform tailored nursing interventions. The objective of the study was to explore and describe the experience of self-care maintenance, monitoring, and management in people with osteoporosis.
A qualitative descriptive study.
We conducted semi-structured interviews. Data were analyzed using Mayring's qualitative content analysis with a deductive approach based on Riegel's theory of self-care. We reported data in accordance with the Consolidated Criteria for Reporting Qualitative Studies (COREQ) checklist.
Participants (1 Male, 19 Females; Aged 55–80) Identified Four Themes of self-care: maintenance (e.g., Medication Adherence, Physical Activity), monitoring (e.g., Symptom Recognition, Test Interpretation), management (e.g., Lifestyle Reflections, Prevention), and general self-care. Key factors included motivation, trust in healthcare professionals, and integration of health behaviors into daily life. Barriers were low self-efficacy, poor symptom recognition, and inconsistent adherence.
Self-care in osteoporosis is a multidimensional and dynamic process influenced by individual beliefs, contextual factors, and support from healthcare professionals. Recognizing the variability in patients' self-care behaviors is essential to develop personalized education and support. Strengthening general health behaviors may enhance disease-specific self-care. This understanding can guide healthcare professionals in designing more effective, tailored care strategies.
To evaluate the effect of mutuality on self-care in people with CHD and the contribution of their caregivers, and whether such relationships can be mediated by self-efficacy.
Secondary analysis of baseline data from a multi-centre longitudinal study.
Patients at the onset of coronary artery disease who underwent angioplasty, along with their caregivers, were included in the sample. Data from 136 patients and 136 caregivers were used for the analysis. Mutuality between patients and caregivers was measured using the Mutuality Scale. Self-care was measured using the Self-Care of Coronary Heart Disease Index and the Caregiver Contribution to Self-Care of Coronary Heart Disease Index. The actor–partner interdependence mediation models were used to assess the mediating role of self-efficacy for self-care between perceived mutuality and self-care behaviours.
An actor indirect effect was found between patient mutuality and their self-care maintenance, self-care monitoring, and self-care management, through the mediation of their self-efficacy. Caregiver mutuality had a positive indirect effect on their contribution to self-care maintenance, self-care monitoring, and self-care management, through the mediation of their self-efficacy. Caregiver mutuality had a positive indirect effect on patient self-care maintenance and on patient self-care monitoring, through the mediation of patient self-efficacy. All models demonstrated satisfactory fit to the data.
Mutuality between patients and caregivers enhances self-care behaviours in patients with coronary heart disease, and self-efficacy is a crucial mediator in this relationship. Interventions targeting both mutuality and self-efficacy within patient–caregiver dyads may improve self-care outcomes.
We adhered to STROBE guidelines.
Patients and members of the public were not involved in the design, conduct, reporting, or dissemination plans of this research.
To identify distinct sleep quality patterns among patients with heart failure (HF) using a person-centred approach and explore demographic and clinical predictors of these patterns.
Secondary analysis of baseline cross-sectional data from the MOTIVATE-HF (MOTIVATional intErviewing to improve self-care in Heart Failure patients) randomised controlled trial. Latent class analysis (LCA) was applied to Pittsburgh Sleep Quality Index (PSQI) component scores to identify distinct subgroups of patients. Demographic, clinical and psychological variables were examined as potential predictors of cluster membership.
Three healthcare settings in Italy: hospital, outpatient and community-based care.
510 adult patients diagnosed with HF (New York Heart Association (NYHA) class II–IV) with poor self-care were included. Patients with severe cognitive impairment or recent myocardial infarction were excluded.
Primary outcome: Sleep quality, measured using the PSQI, analysed through LCA to identify sleep disturbance clusters. Secondary outcomes included demographic and clinical characteristics predicting cluster membership.
The mean age was 72.4 years (SD=12.3), with most participants married or partnered (62%) and retired or unemployed (83.9%). Mild comorbidities were present in 53.3% of the sample (mean Charlson Comorbidity Index (CCI)=2.91, SD=1.98), and 61.4% were classified in NYHA class II. Three sleep quality clusters emerged: (1) adequate sleep duration but disturbed sleep and daytime dysfunction (46.1%); (2) severe sleep problems with low use of sleeping medications (25.3%); and (3) minor sleep problems with mild disturbances (28.6%). Patients in Cluster 1 were older (mean age=73.3 years), had lower physical and mental quality of life (Short-Form 12 Physical Component Summary=33.66; Mental Component Summary=42.65), and higher anxiety (Hospital Anxiety and Depression Scale-A=8.82). Patients in Cluster 2 had more severe comorbidities (CCI=3.55), poorer cognitive function (Montreal Cognitive Assessment (MoCA)=21.5) and lower ejection fraction (mean=40%). Patients in Cluster 3 were younger (mean age=68.2 years), had better cardiac function (ejection fraction=46.6%), better cognitive status (MoCA=24.5) and the highest quality of life (Kansas City Cardiomyopathy Questionnaire=63.1).
Patients with HF exhibit heterogeneous sleep quality patterns with specific clinical and psychological profiles. These findings highlight the need for personalised interventions, systematic sleep assessments and the integration of cardiac rehabilitation strategies into standard HF care.
To test the psychometric properties of the Self-Care of Chronic Illness Inventory (SC-CII) in patients living with inflammatory bowel disease (IBD).
A cross-sectional, multicenter study.
A total of 452 IBD patients were recruited from nine centres across Italy. Participants completed the SC-CII, the Self-Care Self-Efficacy Scale (SCSES), and a sociodemographic questionnaire. Structural validity was assessed using confirmatory factor analysis (CFA). Reliability was evaluated with Cronbach's alpha and McDonald's Omega. Construct validity was determined through correlations between SC-CII and SCSES scores.
CFA confirmed the SC-CII's structural validity, demonstrating its multidimensional self-care maintenance, self-care monitoring, and self-care management structure. Reliability scores were satisfactory, with robust internal consistency. Significant positive correlations between SC-CII and SCSES scores confirmed its construct validity.
The SC-CII is a valid and reliable tool for assessing self-care behaviours in IBD patients. Its application in clinical and research settings can facilitate the evaluation of self-care practices, supporting the development of targeted interventions to improve patient outcomes.
The SC-CII helps identify self-care deficits in IBD patients, enabling tailored interventions for better patient-centred care.
The study addressed the need for validated tools to assess self-care in IBD patients, crucial for managing conditions like IBD. The SC-CII proved valid and reliable, with CFA confirming its structure and correlations with self-efficacy supporting validity. It offers a robust tool to assess and promote self-care behaviours.
The STROBE checklist ensured accurate and comprehensive reporting.
IBD patients helped align the SC-CII with their experiences, ensuring its relevance.
ClinicalTrials.gov identifier: NCT06015789
To examine the association between mutuality and quality of life in nurse–patient dyads.
A cross-sectional multi-centre study was conducted.
The study was conducted in five tertiary hospitals in Italy. We enrol both inpatients and outpatients with chronic diseases and their nurses with a convenience sampling. One-hundred ninety-two dyads participated to the study. A self-assessment instrument including the Short-Form 12 Health Survey (SF-12), and the Nurse Patient Mutuality in Chronic Illness scale (NPM-CI scale), in the two versions—one for patients and one for nurses, was administered. The effects of nurse–patient mutuality on the physical and mental quality of life of nurses and patients were estimated with a series of actor-partner-interdependence models (APIM).
Patients' and nurses' perceptions of their mutuality were positively correlated. For patient mental quality of life, there was a statistically significant actor effect both for patients, and for nurses. There was also a consistent statistically significant partner effect for patient mental quality of life. There were no statistically significant actor or partner effects for the nurses' and patients' physical quality of life. This construct may be influenced by additional components, further studies are needed.
Mutuality between nurses and patients in chronic diseases influence both patient and nurse quality of life.
Our results support the importance of taking a dyadic perspective when considering mutuality and quality of life in nurse–patient dyads.
Nurse–patient mutuality is an indicator of a high-quality relationship, which allows shared goals and shared decision-making. Quality of life is one of the most important outcomes for chronic conditions patients and is an indicator of well-being. Quality of life is also an important variable in healthcare professionals' lives. Little is known about the association between mutuality and quality of life in nurse–patient dyads. Mutuality has an actor effect on patient's and nurse's quality of life and has a negative partner effect on patient's quality of life. The understanding of mutuality and interdependence within the dyad, could increase mental quality of life in nurse–patient dyads.
STROBE checklist for cross-sectional studies was followed in this study.
Patients were involved in the sample of the study.
This study aims to describe disease-specific self-care behaviours in patients with heart failure (HF), diabetes mellitus (DM) and chronic obstructive pulmonary disease (COPD) in various combinations; to compare these self-care behaviours within patient groups; and to evaluate differences across these groups.
Cross-sectional study.
A total sample of 1079 older patients was recruited from outpatient clinics and home settings. Eligible patients were aged ≥ 65 years and had a diagnosis of HF and/or DM, and/or COPD, along with at least one additional chronic condition. Data were collected using validated tools: the Self-Care of Heart Failure Index, Self-Care of Diabetes Inventory and Self-Care of Chronic Obstructive Pulmonary Disease Inventory. Descriptive statistics were used to analyse disease-specific self-care behaviours. Group comparisons were performed using Student's t-test and univariate, followed by multivariate analyses of variance.
The analysis focused on a subset of 223 patients who had a combination of at least two chronic conditions between HF, DM and/or COPD. The mean age of participants was 77.3 (SD 7.5) years, with a majority being female (53.4%). Self-care maintenance, monitoring and management for HF and COPD were found to be inadequate across all patient groups. Adequate self-care was only observed in DM management among those with HF and DM and in DM maintenance for those with DM and COPD treated with insulin. Significant differences in all self-care dimensions were observed across groups, particularly in patients managing all three conditions (HF, DM and COPD).
The findings provide valuable insights into the complexities of self-care in patients with multiple chronic conditions, underscoring the need for tailored, integrated and patient-centred interventions. Healthcare strategies should focus on enhancing patient education and developing personalised approaches to improve health outcomes and quality of life in this population.
All the authors have adhered to the EQUATOR guidelines STROBE Statement.
A convenience sample of patients was recruited in outpatient clinics and their homes. Data were collected between March 2017 and August 2022, by face-to-face during routine outpatient visits or directly at the patient's home.
To describe and compare generic and disease-specific self-care measures in patients with multiple chronic conditions (MCCs) in the three dimensions of self-care maintenance, monitoring, and management.
Multicentre cross-sectional study.
Patients aged 65 and over with MCCs. We used Self-Care of Chronic Illness Inventory to measure generic self-care, Self-care of Diabetes Inventory to measure self-care in diabetes mellitus, Self-Care of Heart Failure (HF) Index to measure self-care in HF, and Self-Care of Chronic Obstructive Pulmonary Disease Inventory to measure self-care in chronic lung diseases.
We recruited 896 patients. Multimorbid patients with diabetes had lower scores on the self-care maintenance scale, and diabetic patients in insulin treatment on the generic management scale than on the disease-specific instrument. Multimorbid patients with HF or chronic lung diseases scored higher on generic self-care maintenance and monitoring scales than disease-specific ones. There was a partial consistency between the generic and disease-specific self-care maintenance and management. Inadequate behaviours were recorded in disease-specific self-care monitoring rather than generic ones.
Older patients affected by MCCs scored differently in the generic and disease-specific instruments, showing inadequate self-care in some of the three self-care dimensions.
The choice between generic and disease-specific instruments to use in clinical practice and research should be made considering the specific aims, settings, patients characteristics, and knowledge of the different performance of the instruments by users.
No study has described and compared generic and specific self-care measures in patients affected by MCCs. Knowing these differences can help nurses choose the most suitable measure for their aims, context, and patients and plan generic and disease-specific self-care educational interventions for those behaviours in which MCCs patients perform poorly.
Patients were informed about the study, provided informed consent, and answered questionnaires through interviews.
Describe and compare generic and disease-specific caregiver contribution (CC) to self-care behaviours in the dimensions of self-care maintenance, self-care monitoring and self-care management in multiple chronic conditions (MCCs).
Multicentre cross-sectional study.
We enrolled caregivers of patients with MCC, from April 2017 to November 2022, if they were (a) 18 years of age or older and (b) identified by the patient as the principal unpaid informal caregiver. The Caregiver Contribution to Self-Care of Chronic Illness Inventory, Caregiver Contribution to Self-Care of Heart Failure Index, Caregiver Contribution to Self-Care of COPD Inventory and Caregiver Contribution to Self-care of Diabetes Inventory were used to measure generic and disease-specific contribution to patient self-care. Descriptive statistics, Student's t-tests and Pearson's correlation coefficients were used.
We found adequate generic CC for self-care monitoring but inadequate CC in self-care maintenance and management. All CC to disease-specific self-care maintenance, monitoring and management scales' scores were inadequate, except for caregivers of diabetic patients in which we observed an adequate score in the CC to self-care maintenance and self-care management scales in those practice insulin therapy.
Caregivers experience difficulties in performing behaviours of contribution to their patients affected by chronic conditions. Caregivers of patients with MCCs contribute more to self-care in aspects related to provider prescriptions and less to lifestyle changes.
Healthcare professionals have to know in which behaviours caregivers show gaps and reflect on the reasons for poor CC to self-care to develop interventions to enhance these behaviours.
This study underlines the importance of choosing the most appropriate instrument for measuring CC to self-care, considering the caregiver's characteristics.
We adhered to STROBE guidelines.
Caregivers of patients affected by MCCs were enrolled.
To describe self-care in Italian adults with coronary heart disease and to identify sociodemographic and clinical determinants of self-care.
This is a cross-sectional analysis of data from the Italian multicentre longitudinal study.
We used the follow instruments: Self-Care of coronary heart disease inventory, Self-care Self Efficacy Scale, Charlson Comorbidity Index and Sociodemographic questionnaire. Descriptive statistics including absolute numbers, percentages, means and standard deviations were used to describe the sociodemographic and clinical characteristics of the sample, and the items. A structural equation model was fitted to understand sociodemographic and clinical variables associated with self-care, and possible effects mediated by self-efficacy.
We enrolled 427 patients. Self-care maintenance, monitoring, management and self-care self-efficacy means scores were 58.27 (SD = 20.07), 48.53 (SD = 26.97), 65.34 (SD = 22.85) and 77.16 (SD = 20.76), respectively. Except for the self-care self-efficacy scale, all the scores lay below the cut off 70 for adequacy. Older age, higher comorbidities, a higher number of stents placed, and the presence of a caregiver predicted poor self-care.
Self-care in Italian CHD populations is poor. Several associations were found between the dimensions of self-care and sociodemographic factors. Implications for the profession these findings are important for health care providers to plan interventions to improve self-care behaviour.
The study addressed self-care behaviours of coronary heart disease patients. Self-care was poor in this population; several associations were found between the dimensions of self-care and sociodemographic and clinical determinants. Our results can be used to support health professionals in planning interventions to improve specific self-care domains.
STROBE checklist was followed.
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 describe the contributing factors and types of reported medication incidents in home care related to the flow of information in different phases of the medication process, as reported by multi-professional healthcare groups.
This descriptive, qualitative study used retrospective data.
An incident-reporting database was used to collect 14,289 incident reports from 2017 to 2019 in a city in Finland. We used this data to select medication incidents (n = 1027) related to the flow of information in home care and between home care and hospitals. Data were divided into five groups based on the medication phase: (1) prescribing, (2) dispensing, (3) administration, (4) documentation and (5) self-administration. In addition, the types of medication-related incidents were described. The data were examined using abductive content analysis. The EQUATOR SRQR checklist was used in this report.
Four main categories were identified from the data: (1) issues related to information management, (2) cooperation issues between different actors, (3) work environment and lack of resources and (4) factors related to healthcare workers. Cooperation issues contributed to medication-related incidents during each phase. Incomplete communication was a contributing factor to medication incidents. This occurred between home care, remote care, hospital, the client and the client's relatives. Specifically, a lack of information-sharing occurred in repatriation situations, where care transitioned between different healthcare professionals.
Healthcare professionals, organisations, clients and their relatives should focus on the efficient and safe acquisition of medications. Specifically, the use of electronic communication systems, together with oral reports and checklists for discharge situations, and timely cooperation with pharmacists should be developed to manage information flows.
These findings demonstrate that healthcare professionals require uniform models and strategies to accurately and safely prescribe, dispense and administer medications in home care settings.
No patient or public contributions.