Generalizability of the Self-Care of Diabetes Inventory Across Cultures and Languages: Italy and the United States

Measuring Self-Care: A Description of the Family of Disease-Specific and Generic Instruments Based on the Theory of Self-Care of Chronic Illness

BACKGROUND

In recent years, there has been an exponential increase in attention paid to the patient-reported outcome of self-care. Many investigators have used one of the families of self-care instruments freely available on the website www.self-care-measures.com. These self-care measures have been translated into many languages, which are also available on the website. The measures include both disease-specific and generic instruments, which are based on a common theoretical framework, the Middle Range Theory of Self-Care of Chronic Illness.

PURPOSE

The purpose of this article is to illustrate similarities among the instruments and to standardize their scoring, analysis, and use. We describe the Self-Care of Heart Failure Index, the Self-Care of Coronary Heart Disease Inventory, the Self-Care of Hypertension Inventory, the Self-Care of Diabetes Inventory, the Self-Care of Chronic Obstructive Pulmonary Disease Inventory, the Self-Care of Chronic Illness Inventory, and the Self-Care Inventory. Detailed guidance on scoring, translation, and analysis is provided. Complementary measures of self-care self-efficacy and those used to measure caregiver contributions to patient self-care are briefly described.

CONCLUSIONS

Many of the common questions of instrument users are answered in this article. Following this guidance will facilitate consistent use of the instruments, which will enable users to compare their results to those of others worldwide and facilitate future reviews and meta-analyses.Clinical ImplicationsThis review, emphasizing standard scoring and interpretation, is useful for clinicians and researchers across various populations and settings.

Transcultural adaptation and theoretical models validation of the Spanish version of the Self-Care of Diabetes Inventory

Background

For patients with diabetes mellitus, self-care is crucial because it prevents complications and helps preserve quality of life. Clinicians and researchers require effective tools for assessing self-care behaviors across various dimensions to identify individual needs and maximize resource allocation. The aim of this study was to evaluate the validity and reliability of the Spanish version of the Self-Care of Diabetes Inventory (SCODI).

Methods

Two hundred eighteen participants with DMT1 and DMT2 who were recruited through convenience sampling from a university hospital participated in our cross-sectional study. After translation and cultural adaptation, the enrolled patients answered the questions. We performed an exploratory factor analysis (EFA) on each of the SCODI scales and Confirmatory factor analysis (CFA) was performed using our models which appropriate fit indices.

Results

The original structure of the four-dimensions tool was confirmed. The overall consistency across the four scales was assessed by Cronbach's alpha: self-care maintenance (0.766), self-care monitoring (0.790), self-care management (0.771), and self-care confidence (0.936). The model fit yielded a chi-square index of 1.028 with 773 degrees of freedom. Confirmatory factor analysis showed a good fit, thereby affirming the reliability of the model.

Conclusion

The internal consistency and reliability of the SCODI Spanish version are deemed adequate. This tool is appropriate when it is desired to evaluate the self-care practices of Spanish persons suffering from diabetes due to its good psychometric qualities.

Generic and disease-specific self-care instruments in older patients affected by multiple chronic conditions: A descriptive study

AIMS

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.

DESIGN

Multicentre cross-sectional study.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

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.

IMPACT

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.

PATIENT CONTRIBUTION

Patients were informed about the study, provided informed consent, and answered questionnaires through interviews.

Further Evidence of Psychometric Performance of the Self-care of Diabetes Inventory in Adults With Type 1 and Type 2 Diabetes

BACKGROUND

The Self-care of Diabetes Inventory (SCODI) is a theory-based tool that measures self-care, a key strategy in the appropriate treatment of diabetes. However, despite the clinical differences between people with Type 1 Diabetes Mellitus (T1DM) and Type 2 Diabetes Mellitus (T2DM), the psychometric properties of the SCODI were only tested in mixed samples.

PURPOSE

This study aims to test the psychometric performances of the SCODI in two separate groups of adults with T1DM and T2DM.

METHODS

This is a secondary analysis from two previous multicentre cross-sectional observational studies involving patients with T1DM (n = 181) and T2DM (n = 540). We tested dimensionality with confirmatory factor analysis and reliability with a multidimensional model-based coefficient for every scale of the SCODI: self-care maintenance, self-care monitoring, self-care management, and self-care self-efficacy.

RESULTS

We found that the SCODI showed the same dimensionality, with minimal variation in factor loadings for each factor and each scale among T1DM and T2DM groups. High reliability for each scale in both groups was also found (self-care maintenance: T1DM = 0.86, T2DM = 0.83; self-care monitoring: T1DM = 0.84, T2DM = 1.00; self-care management: T1DM = 0.87, T2DM = 0.86; self-care self-efficacy: T1DM = 0.88; T2DM = 0.86).

CONCLUSION

The SCODI can be used for measuring self-care in people with T1DM, T2DM, or mixed groups using identical scoring procedures. Considering the well-known differences between Type 1 and Type 2 diabetes diseases and patients' characteristics, our results support the generalizability of the self-care theory on which the instrument is based.

How do self-care maintenance, self-care monitoring, and self-care management affect glycated haemoglobin in adults with type 2 diabetes? A multicentre observational study

PURPOSE

To evaluate how self-care maintenance, self-care monitoring, and self-care management affect glycated haemoglobin in type 2 diabetes mellitus patients and to set cut-off points of the Self-Care of Diabetes Inventory scales using glycated haemoglobin as outcome of interest.

METHODS

A secondary analysis of a previous multicentre observational cross-sectional study was conducted. Overall, 540 adults with type 2 diabetes mellitus confirmed diagnosis were involved. Socio-demographic and clinical data were collected. Self-care maintenance, self-care monitoring, and self-care management were measured by the Self-Care of Diabetes Inventory. Linear regression models were performed to assess the relationship between self-care maintenance, self-care monitoring, and self-care management and glycated haemoglobin. Receiver operating characteristics curves were carried out to identify the best cut-off score for each self-care scale considering glycated haemoglobin >7% as outcome of interest.

RESULTS

Self-care monitoring and self-care management were associated to glycated haemoglobin in both patients without (self-care monitoring p = 0.0008; self-care management p = 0.0178) and with insulin therapy (self-care monitoring p = 0.0007; self-care management p = 0.0224). Self-care maintenance was associated to glycated haemoglobin in patients without insulin therapy (p = 0.0118). Cut-off scores providing the best performance were 70 points for self-care maintenance and self-care monitoring, and 60 points for self-care management.

CONCLUSIONS

Self-care maintenance, self-care monitoring, and self-care management differently affect glycated haemoglobin in patients with type 2 diabetes mellitus. Clinicians could implement tailored interventions to improve glycaemic control considering the lacking area of self-care.

A New Self-management Scale with a Hierarchical Structure for Patients with Type 2 Diabetes

PURPOSE

The aims of this study were to develop a new instrument for measuring self-management with a hierarchical structure [the Diabetes Self-Management Scale (DSMS)] in patients with type 2 diabetes, and evaluate its psychometric properties.

METHOD

The DSMS instrument was developed in three phases: (1) conceptualization and item generation; (2) content validity and pilot testing; and (3) field testing of its psychometric properties. A convenience sample of 473 participants was recruited in three university hospitals and one regional health center, South Korea.

RESULTS

Exploratory and confirmatory factor analyses yielded two second-order component models explaining the common variance among six first-order factors. Principal axis factoring with a varimax rotation accounted for 60.88% of the variance. Confirmatory factor analysis of the hierarchical structure revealed the following fit indices: χ²/df = 1.373, standardized root-mean-square residual = .050, goodness-of-fit index = .935, incremental fit index = .975, comparative fit index = .974, and root-mean-square error of approximation = .039. All Cronbach' α values for internal consistency exceeded the criterion of .70. All of the intraclass correlation coefficients for test-retest reliability exceeded .70 except that for the taking-medication subscale. The components of the DSMS were moderately correlated with the comparator measures of self-efficacy and health literacy administered for convergent validity.

CONCLUSION

The DSMS is a new instrument for measuring the complex nature of self-management in patients with type 2 diabetes, comprising 17 items scored on a five-point Likert scale. The DSMS exhibits satisfactory psychometric properties for five reliability and validity metrics, and so is a suitable instrument to apply in both research and clinical practices.

Information before discharge in geriatric patients in Italy: cultural adaptation and validation of the Patient Continuity of Care Questionnaire

Our aim is to culturally adapt the first section of the Patient Continuity of Care Questionnaire (PCCQ) for use among older Italian patients with chronic diseases and to test its psychometric properties. The PCCQ was translated, adapted to the Italian context, and completed by 236 older inpatients with chronic diseases at the point of discharge through a cross-sectional multi-centre validation study. Face and content validity were assessed. Exploratory factor analysis (EFA) with Mplus MLr estimator was conducted. Internal consistency was analysed through Cronbach's alpha and factor score determinacy coefficients. The overall content validity index of the 15-item Italian version of the questionnaire was 0.9. The EFA revealed a four-factor model yielding adequate fit indices. The factor score determinacy coefficients ranged from 0.87 to 0.94. The Cronbach's alpha coefficients ranged from 0.71 to 0.86 showing good reliability. The study provides health professionals with an instrument with adequate psychometric properties to assess patients' perception of the information received before hospital discharge.

Polish Adaptation of the Self-Care of Diabetes Inventory (SCODI)

PURPOSE

As the guidelines indicate, education and self-care in diabetic patients are essential elements in the treatment process. The efficient evaluation of the level of self-care will enable the patient's needs to be identified and education and care to be optimised. The Self-Care of Diabetes Inventory (SCODI) is a valid and reliable tool which can measure self-care behaviours among patients with diabetes. The purpose of this study was to assess the reliability of the Polish version of the SCODI.

METHODS

The World Health Organization (WHO) translation protocol was used for the translation and cultural adaptation of the English version of the SCODI into Polish. The study included 276 Polish patients with type 2 diabetes (mean age 61.28±12.02 years). There were 145 men and 131 women in the study. The internal consistency of the SCODI was evaluated using Cronbach's Alpha.

RESULTS

The original four actor tool structure was confirmed. The mean overall levels of self-care in the four SCODI scales in the study group were self-care maintenance (67.66 pts; SD=18.55), self-care monitoring (61.81 pts; SD=24.94), self-care management (54.65 pts; SD=22.98) and self-care confidence (62.86 pts; SD=20.87). The item-total correlations were positive, so there is no need to change the scales of any of the questions. The overall consistencies for individual scales were assessed using Cronbach's Alpha: self-care maintenance (0.759), self-care monitoring (0.741), self-care management (0.695) and self-care confidence (0.932). Exploratory factor analysis and item factor loadings of the individual items ranged from 0.137 to 0.886 and, with two exceptions (questions number 23 and 32), were statistically significant (p<0.05).

CONCLUSION

The SCODI questionnaire has acceptable internal consistency and reliability in assessing self-care among diabetic patients in the Polish population. This reliable research tool can be managed in planned studies of Polish patients with diabetes.

Cross-cultural assessment of the Self-Care of Chronic Illness Inventory: A psychometric evaluation

BACKGROUND

Self-care refers to behaviors that individuals adopt to prevent or maintain the stability of an illness (self-care maintenance), to monitor signs and symptoms (self-care monitoring), and to respond to signs and symptoms of an illness exacerbation (self-care management). A generic measure of self-care, the Self-Care of Chronic Illness Inventory, based on the Theory of Self-Care of Chronic Illness, was developed for use in individuals with any number and type of chronic conditions.

OBJECTIVE

The current study investigated the measurement equivalence of the Self-Care of Chronic Illness Inventory in individuals from three different cultural groups. We were interested in determining if Italians, Swedes, and Americans interpret the measure in a conceptually similar way.

METHODS

This cross-sectional study enrolled 1629 patients, 784 recruited in Italy, 438 in Sweden and 407 in the United States. Self-care (self-care maintenance, self-care monitoring and self-care management) was measured with the Self-Care of Chronic Illness Inventory. A multi-group confirmatory factor analytic approach was used to assess the equivalence of the measures across the three countries. Configural, metric, scalar and strict invariance were tested through a series of nested models where increasingly stringent equality constraints were posited.

RESULTS

Participants were mostly males (56.3%), older adults (69.8%) and had at least two chronic conditions. Results indicated that three out of four measurement equivalence levels were partially or totally supported in all three of the Self-Care of Chronic Illness Inventory scales. The partial scalar invariance level was reached for self-care maintenance [χ²(50) = 63.495, p = 0.095; RMSEA = 0.022, p = 0.999, 90% CI = 0.000 0.038; CFI = 0.981; TLI = 0.977; SRMR = 0.036], self-care monitoring [χ²(22) = 28.770, p = 0.095; RMSEA = 0.024, p = 0.978, 90% CI = 0.000 0.046; CFI = 0.996; TLI = 0.995; SRMR = 0.054], and self-care management [χ²(51) = 91.334, p = 0.001; RMSEA = 0.048, p = 0.576, 90% CI = 0.031 0.063; CFI = 0.949; TLI = 0.937; SRMR = 0.047] scales.

CONCLUSIONS

These findings suggest that patients in the three countries used an identical cognitive framework or mental model when responding and used the 1-5 Likert response scale in an almost identical way, almost without bias. In spite of sociocultural differences, patients in these countries seem to share the same fundamental view of self-care. The results of the Self-Care of Chronic Illness Inventory will be comparable in these countries.

Self-care research: Where are we now? Where are we going?

BACKGROUND AND OBJECTIVE

The beneficial effects of self-care include improved well-being and lower morbidity, mortality, and healthcare costs. In this article we address the current state of self-care research and propose an agenda for future research based on the inaugural conference of the International Center for Self-Care Research held in Rome, Italy in June 2019. The vision of this Center is a world where self-care is prioritized by individuals, families, and communities and is the first line of approach in every health care encounter. The mission of the Center is to lead the self-care research endeavor, improving conceptual clarity and promoting interdisciplinary work informed by a shared vision addressing knowledge gaps. A focused research agenda can deepen our theoretical understanding of self-care and the mechanisms underlying self-care, which can contribute to the development of effective interventions that improve outcomes.

METHODS

During conference discussions, we identified seven major reasons why self-care is challenging, which can be grouped into the general categories of behavior change and illness related factors. We identified six specific knowledge gaps that, if addressed, may help to address these challenges: the influence of habit formation on behavior change, resilience in the face of stressful life events that interfere with self-care, the influence of culture on self-care behavioral choices, the difficulty performing self-care with multiple chronic conditions, self-care in persons with severe mental illness, and the influence of others (care partners, family, peer supporters, and healthcare professionals) on self-care.

PLANS TO ACHIEVE RESULTS

To achieve the vision and mission of the Center, we will lead a collaborative program of research that addresses self-care knowledge gaps and improves outcomes, create a supportive international network for knowledge transfer and support of innovations in self-care research, and support and train others in self-care research. Beyond these specific short-term goals, important policy implications of this work are discussed.