A new estimator of Zumbo’s Ordinal Alpha: a copula approach

Bonanomi, Andrea; Cantaluppi, Gabriele; Ruscone, Marta Nai; Osmetti, Silvia Angela

doi:10.1007/s11135-014-0114-8

Cited by 24 publications

(19 citation statements)

References 9 publications

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“…In the second step of the analysis, the psychometric properties of the instruments were assessed in terms of reliability by using Cronbach's alpha for metric variables or ordinal alpha via Empirical Copula for ordinal variables [ 45 ]. A Cronbach or ordinal alpha higher than 0.7 was considered acceptable.…”

Section: Methodsmentioning

confidence: 99%

The Motivating Function of Healthcare Professional in eHealth and mHealth Interventions for Type 2 Diabetes Patients and the Mediating Role of Patient Engagement

Graffigna

Barello

Bonanomi

et al. 2016

Journal of Diabetes Research

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eHealth and mHealth interventions for type 2 diabetes are emerging as useful strategies to accomplish the goal of a high functioning integrated care system. However, mHealth and eHealth interventions in order to be successful need the clear endorsement from the healthcare professionals. This cross-sectional study included a sample of 93 Italian-speaking type 2 diabetes patients and demonstrated the role of the perceived ability of healthcare professionals to motivate patients' initiative in improving the level of their engagement and activation in type 2 diabetes self-management. The level of type 2 diabetes patients' activation resulted also in being a direct precursor of their attitude to the use of mHealth and eHealth. Furthermore, patient engagement has been demonstrated to be a mediator of the relationship between the perceived ability of healthcare professionals in motivating type 2 diabetes patients and patients' activation. Finally, type 2 diabetes patients adherence did not result in being a direct consequence of the frequency of mHealth and eHealth use. Patient adherence appeared to be directly influenced by the level of perceived healthcare professionals ability of motivating patients' autonomy. These results offer important insights into the psychosocial and organizational elements that impact on type 2 diabetes patients' activation in self-management and on their willingness to use mHealth and eHealth devices.

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Section: Methodsmentioning

confidence: 99%

The Motivating Function of Healthcare Professional in eHealth and mHealth Interventions for Type 2 Diabetes Patients and the Mediating Role of Patient Engagement

Graffigna

Barello

Bonanomi

et al. 2016

Journal of Diabetes Research

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“…Since the 9 proposed items had an ordinal nature, the data analysis involved suitable technique for ordinal data. In particular, the calibration of the scales and the exploration of the factorial structure were carried out using a Categorical Principal Component Analysis (CATPCA) and the reliability analysis was conducted using the Ordinal Alpha via Empirical Copula Index (Bonanomi et al, 2012 , 2014 ). The latter is a reliability index for polytomous ordinal items based on the Spearman grade correlation coefficient, and it considers copula-based measures of association across the ordinal variables.…”

Section: Resultsmentioning

confidence: 99%

Measuring patient engagement: development and psychometric properties of the Patient Health Engagement (PHE) Scale

et al. 2015

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Beyond the rhetorical call for increasing patients' engagement, policy makers recognize the urgency to have an evidence-based measure of patients' engagement and capture its effect when planning and implementing initiatives aimed at sustaining the engagement of consumers in their health. In this paper, authors describe the Patient Health Engagement Scale (PHE-scale), a measure of patient engagement that is grounded in rigorous conceptualization and appropriate psychometric methods. The scale was developed based on our previous conceptualization of patient engagement (the PHE-model). In particular, the items of the PHE-scale were developed based on the findings from the literature review and from interviews with chronic patients. Initial psychometric analysis was performed to pilot test a preliminary version of the items. The items were then refined and administered to a national sample of chronic patients (N = 382) to assess the measure's psychometric performance. A final phase of test-retest reliability was performed. The analysis showed that the PHE Scale has good psychometric properties with good correlation with concurrent measures and solid reliability. Having a valid and reliable measure to assess patient engagement is the first step in understanding patient engagement and its role in health care quality, outcomes, and cost containment. The PHE Scale shows a promising clinical relevance, indicating that it can be used to tailor intervention and assess changes after patient engagement interventions.

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“…An infit value of an item falling between 0.5 and 1.5 indicates that the item is productive for the underlying measurement (Linacre, 2011 ). The internal consistency of the items of the CPHE-s was assessed using Ordinal Alpha via Empirical Copula Index (Bonanomi et al, 2012 , 2015 ) and inter-item polychoric correlation given the ordinal nature of the items. A reliability index ≥ 0.7, 0.8, or 0.9 can be interpreted as acceptable, good, or excellent, respectively (Gliem and Gliem, 2003 ).…”

Section: Discussionmentioning

confidence: 99%

Adaptation and Validation of a Chinese Version of Patient Health Engagement Scale for Patients with Chronic Disease

et al. 2017

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The Patient Health Engagement Scale (PHE-s) was designed to assess the emotional and psychological attitudes of patients' engagement along their healthcare management journey. The aim of this study was to validate a culturally adapted Chinese version of the PHE-s (CPHE-s). Three hundred and seventy-seven participants were recruited from eight community health centers in a sample of patients with chronic disease in Hunan Province, China. The original Italian PHE-s was translated into Mandarin Chinese using a standardized forward–backward translation. The Rasch model was utilized and presented uni-dimensionality and good items fitness of the PHE-s. The internal consistency was 0.89 and the weighted Kappa coefficients of the items (test–retest reliability) ranged from 0.52 to 0.79. Both principal component analysis and confirmatory factor analysis supported a single-factor structure of the PHE-s. In testing the external validity, the PHE-s showed a significant moderate correlation with patient activation but not with medicine adherence behavior, which requires further exploration. The result suggested that the PHE-s is a reliable and valid instrument to assess the level of patient engagement in his or her own health management among chronic patients in China. Further analysis of reliability and validity should be assessed among other patient cohorts in China, and future directions for testing changes after patient engagement interventions should be developed by exploring some clinical relevance.

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A new estimator of Zumbo’s Ordinal Alpha: a copula approach

Cited by 24 publications

References 9 publications

The Motivating Function of Healthcare Professional in eHealth and mHealth Interventions for Type 2 Diabetes Patients and the Mediating Role of Patient Engagement

The Motivating Function of Healthcare Professional in eHealth and mHealth Interventions for Type 2 Diabetes Patients and the Mediating Role of Patient Engagement

Measuring patient engagement: development and psychometric properties of the Patient Health Engagement (PHE) Scale

Adaptation and Validation of a Chinese Version of Patient Health Engagement Scale for Patients with Chronic Disease

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