scispace - formally typeset
Search or ask a question
Author

Ercole Vellone

Bio: Ercole Vellone is an academic researcher from University of Rome Tor Vergata. The author has contributed to research in topics: Medicine & Cronbach's alpha. The author has an hindex of 33, co-authored 252 publications receiving 3600 citations. Previous affiliations of Ercole Vellone include The Catholic University of America & Catholic University of the Sacred Heart.


Papers
More filters
Journal ArticleDOI
TL;DR: In a sample of 659 heart failure patients from Italy, confirmatory factor analysis (CFA) is performed to test the original construct of the SCHFI v. 6.6.2 scales, providing a new understanding of its structure and supports its use in clinical practice and research.
Abstract: The Self-Care of Heart Failure Index Version 6.2 (SCHFI v.6.2) is widely used, but its psychometric profile is still questioned. In a sample of 659 heart failure patients from Italy, we performed confirmatory factor analysis (CFA) to test the original construct of the SCHFI v.6.2 scales (Self-Care Maintenance, Self-Care Management, and Self-Care Confidence), with limited success. We then used exploratory factor analysis to determine the presence of separate scale dimensions, followed by CFA in a separate sub-sample. Construct validity of individual scales showed excellent fit indices: CFI = .92, RMSEA = .05 for the Self-Care Maintenance Scale; CFI = .95, RMSEA = .07 for the Self-Care Management Scale; CFI = .99, RMSEA = .02 for the Self-Care Confidence scale. Contrasting groups validity, internal consistency, and test-retest reliability were supported as well. This evidence provides a new understanding of the structure of the SCHFI v.6.2 and supports its use in clinical practice and research.

138 citations

Journal ArticleDOI
TL;DR: The findings may help healthcare professionals have a deeper understanding of the meaning caregivers give to quality of life and thereby aid in the design of strategies to maintain or improve quality oflife.
Abstract: Title. Quality of life for caregivers of people with Alzheimer’s disease Aim. This paper is a report of a study to describe the meaning of quality of life for caregivers of patients with Alzheimer’s disease and to identify factors that affect their quality of life. Background. The burden for informal caregivers and change in their quality of life can lead to patients being placed in nursing homes. Factors found to worsen caregivers’ quality of life include strained finances, poor family functioning, difficult patient behaviour, financial burdens and the amount of time caregivers spend caring for family members with Alzheimer’s disease. Method. A hermeneutic phenomenological design was used to study 32 informal caregivers of patients with Alzheimer’s disease. Data were collected using interviews between November 2004 and June 2005. Findings. Caregivers associated good quality of life with serenity, tranquility, psychological well-being, freedom, general well-being, good health and good financial status. Factors that caregivers said improved their quality of life were good health of the patient, independence from the patient, and more help in caregiving. Factors that worsened their quality of life were worries about the future and progression of the patient’s illness and stress. Conclusion. Our findings may help healthcare professionals have a deeper understanding of the meaning caregivers give to quality of life and thereby aid in the design of strategies to maintain or improve quality of life. Intervention research is needed for caregivers in countries where this has not yet been performed. Researchers should also investigate whether different types of caregivers (spouse, adult child and friend) have different needs or problems.

132 citations

Journal ArticleDOI
TL;DR: The CC-SCHFI showed good psychometric properties of validity and reliability and can be used to measure the contribution of caregiver to HF patient self-care.
Abstract: Background: Caregivers make an important contribution to the self-care of patients with heart failure (HF), but few instruments are available to measure this contribution. Objective: The objective of this study was to test the psychometric properties of the Caregiver Contribution to Self-care of Heart Failure Index (CC-SCHFI), an instrument derived from the Self-care of Heart Failure Index version 6.2. The CC-SCHFI measures the contribution of caregivers to the self-care maintenance and self-care management of HF patients, as well as their confidence in their ability to contribute to the patients’ HF self-care. Methods: A cross-sectional design was used to study 291 Italian caregivers whose HF patients were cared for in 17 cardiovascular centers across Italy. Caregivers completed the CC-SCHFI and a sociodemographic questionnaire. Caregivers were retested on the CC-SCHFI 2 weeks later to assess test-retest reliability. Results: Most caregivers were women (66%) with a mean age of 59 years. First- and second-order confirmatory factor analysis (CFA) for each CC-SCHFI scale showed good model fit: # 2 =3 7.22,P = .08, Comparative Fit Index (CFI) = 0.97, Non-Normed Fit Index (NNFI) = 0.96 for caregiver contribution to self-care maintenance (second-order CFA); # 2 =1 4.05,P = .12, CFI = 0.96, NNFI = 0.93 for caregiver contribution to self-care management (first-order CFA); and # 2 =1 0.63,P = .15, CFI = 0.99, NNFI = 0.98 for caregiver confidence in contributing to self-care (second-order CFA). The CC-SCHFI was able to discriminate statistical and clinical differences between 2 groups of caregivers who had received or not received HF self-care education. Internal consistency reliability measured by factor score determinacy was more than .80 for all factors and scales except for 1 factor in the caregiver contribution to self-care management scale (.65). Test-retest reliability computed by intraclass correlation coefficient was high (90.90) for most factors and scales. Conclusion: The CC-SCHFI showed good psychometric properties of validity and reliability and can be used to measure the contribution of caregiver to HF patient self-care.

118 citations

Journal ArticleDOI
TL;DR: These comprehensive dyadic models assist in elucidating the complex nature of patient-caregiver relationships and their influence on HF self-care, leading to more effective ways to intervene and optimize outcomes.
Abstract: Disease self-management is a critical component of maintaining clinical stability for patients with chronic illness. This is particularly evident in the context of heart failure (HF), which is the leading cause of hospitalization for older adults. HF self-management, commonly known as HF self-care, is often performed with the support of informal caregivers. However, little is known about how a HF dyad manages the patient's care together. The purpose of this study was to identify determinants of patient and caregiver contributions to HF self-care maintenance (daily adherence and symptom monitoring) and management (appropriate recognition and response to symptoms), utilizing an approach that controls for dyadic interdependence. This was a secondary analysis of cross-sectional data from 364 dyads of Italian HF patients and caregivers. Multilevel modeling was used to identify determinants of HF self-care within patient-caregiver dyads. Patients averaged 76.2 (SD = 10.7) years old, and a slight majority (56.9%) was male, whereas caregivers averaged 57.4 (SD = 14.6) years old, and about half (48.1%) were male. Most caregivers were adult children (48.4%) or spouses (32.7%) of patients. Both patients and caregivers reported low levels of HF maintenance and management behaviors. Significant individual and dyadic determinants of self-care maintenance and self-care management included gender, quality of life, comorbid burden, impaired ADLs, cognition, hospitalizations, HF duration, relationship type, relationship quality, and social support. These comprehensive dyadic models assist in elucidating the complex nature of patient-caregiver relationships and their influence on HF self-care, leading to more effective ways to intervene and optimize outcomes.

117 citations


Cited by
More filters
01 Jan 2016
TL;DR: The using multivariate statistics is universally compatible with any devices to read, allowing you to get the most less latency time to download any of the authors' books like this one.
Abstract: Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

14,604 citations

01 Jan 2014
TL;DR: These standards of care are intended to provide clinicians, patients, researchers, payors, and other interested individuals with the components of diabetes care, treatment goals, and tools to evaluate the quality of care.
Abstract: XI. STRATEGIES FOR IMPROVING DIABETES CARE D iabetes is a chronic illness that requires continuing medical care and patient self-management education to prevent acute complications and to reduce the risk of long-term complications. Diabetes care is complex and requires that many issues, beyond glycemic control, be addressed. A large body of evidence exists that supports a range of interventions to improve diabetes outcomes. These standards of care are intended to provide clinicians, patients, researchers, payors, and other interested individuals with the components of diabetes care, treatment goals, and tools to evaluate the quality of care. While individual preferences, comorbidities, and other patient factors may require modification of goals, targets that are desirable for most patients with diabetes are provided. These standards are not intended to preclude more extensive evaluation and management of the patient by other specialists as needed. For more detailed information, refer to Bode (Ed.): Medical Management of Type 1 Diabetes (1), Burant (Ed): Medical Management of Type 2 Diabetes (2), and Klingensmith (Ed): Intensive Diabetes Management (3). The recommendations included are diagnostic and therapeutic actions that are known or believed to favorably affect health outcomes of patients with diabetes. A grading system (Table 1), developed by the American Diabetes Association (ADA) and modeled after existing methods, was utilized to clarify and codify the evidence that forms the basis for the recommendations. The level of evidence that supports each recommendation is listed after each recommendation using the letters A, B, C, or E.

9,618 citations

Posted Content
TL;DR: Deming's theory of management based on the 14 Points for Management is described in Out of the Crisis, originally published in 1982 as mentioned in this paper, where he explains the principles of management transformation and how to apply them.
Abstract: According to W. Edwards Deming, American companies require nothing less than a transformation of management style and of governmental relations with industry. In Out of the Crisis, originally published in 1982, Deming offers a theory of management based on his famous 14 Points for Management. Management's failure to plan for the future, he claims, brings about loss of market, which brings about loss of jobs. Management must be judged not only by the quarterly dividend, but by innovative plans to stay in business, protect investment, ensure future dividends, and provide more jobs through improved product and service. In simple, direct language, he explains the principles of management transformation and how to apply them.

9,241 citations