Developing CAHPS for cancer care prototype: Progress and next steps.

2013 ◽  
Vol 31 (31_suppl) ◽  
pp. 134-134 ◽  
Author(s):  
Steven Garfinkel ◽  
Elizabeth Frentzel ◽  
Christian Evensen ◽  
San Keller ◽  
Kathleen J. Yost ◽  
...  
Keyword(s):  
Field Test ◽  
Cancer Care ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Quality Care ◽  
A Priori ◽  
Measurement Properties ◽  
Equation Modeling ◽  
Care Providers ◽  
Stakeholder Input

134 Background: The CAHPS Survey for Cancer Care Prototype (application for CAHPS trademark in process) represents a significant advancement towards helping cancer care providers understand patients’ experiences of care. Although a number of standard commercial surveys are in use, currently none are available that both (1) capture the aspects of care most important to patients and (2) allow comparisons of those aspects of care across treatment centers and modalities. Methods: We developed a survey instrument that incorporated patient, clinician, and other stakeholder input throughout the development process. The survey measures patients’ perceptions of observable provider behaviors that are indicative of high quality care. Field test data were collected from 1,367 of 2,826 eligible patients (48% response rate) treated with surgery, radiation, or medical oncology from 6 accredited cancer treatment centers across the US. Classical psychometric methods were used to evaluate the measurement properties of composite scales per standard CAHPS methodology. Results: Based on a priori conceptualization, patient and stakeholder input, and empirical analyses, we identified 5 composites measuring shared decision-making, exchanging information about treatment, affective communication, access to care, and patient self-management. A confirmatory factor analysis using structural equation modeling showed an excellent fit (CFI > 0.96; RMSEA < 0.05) between the observed data and the structure for these five composites. Cronbach’s alpha for these composites ranged from 0.71-0.88, discriminant validity was good for all scales, and correlations with overall ratings of cancer care providers were moderate (0.31) to high (0.69). Evaluation of the precision with which the composites distinguish among cancer centers indicated that the measures were reliable; however, a second field test with a greater number and variety of centers will be needed to establish a standard sampling approach and confirm these results. Conclusions: We anticipate wide-spread adoption of this measure by cancer care providers to direct quality improvement efforts due to great interest and involvement in this project on the part of stakeholders.

scholarly journals Toward Establishing a Standard Symptom Set for Assessing Sluggish Cognitive Tempo in Children: Evidence From Teacher Ratings in a Community Sample

Assessment ◽  
2017 ◽  
Vol 26 (6) ◽  
pp. 1128-1141 ◽  
Author(s):  
Stephen P. Becker ◽  
G. Leonard Burns ◽  
Aidan P. Schmitt ◽  
Jeffery N. Epstein ◽  
Leanne Tamm
Keyword(s):  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Rating Scale ◽  
Community Sample ◽  
Social Impairment ◽  
Sluggish Cognitive Tempo ◽  
Measurement Properties ◽  
Equation Modeling ◽  
Cognitive Tempo

Despite increasing interest in sluggish cognitive tempo (SCT) in children, the field is stymied by the lack of a standard symptom set that can be used across studies. Without a standard symptom set, it is difficult to determine if differences across studies are due to methodological or sample differences, or simply the way SCT was measured. To move the field toward a standard symptom set, this study evaluates a teacher-report rating scale of SCT revised based on recent meta-analytic findings that identified optimal items for distinguishing SCT from attention-deficit/hyperactivity disorder inattention (ADHD-IN). Participants were 1,349 students (50.7% male) from grades 2 to 5. Teachers provided ratings of SCT, ADHD-IN, academic impairment, and social impairment. Exploratory structural equation modeling found 15 of the 16 SCT items to demonstrate excellent convergent validity and discriminant validity with ADHD-IN. The measurement properties of the SCT construct were also invariant across sex. SCT was uniquely associated with both academic and social impairment above and beyond ADHD-IN and sex. Although replication and extension is needed, the current study provides the strongest evidence to date of a possible standard symptom set that can be used across studies examining SCT in children.

scholarly journals Validity and Internal Consistency of the Preschool-FLAT, a New Tool for the Assessment of Food Literacy in Young Children from the Training-To-Health Project

2020 ◽  
Vol 17 (8) ◽  
pp. 2759
Author(s):  
Garden Tabacchi ◽  
Giuseppe Battaglia ◽  
Giuseppe Messina ◽  
Antonio Paoli ◽  
Antonio Palma ◽  
...  
Keyword(s):  
Internal Consistency ◽  
Content Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Assessment Tool ◽  
Intervention Group ◽  
Equation Modeling ◽  
Control Group ◽  
Food Literacy ◽  
Health Project

Background: The importance of assessing “food literacy” since youth has been highlighted and, to this purpose, valid and consistent instruments are needed. This study aimed to assess the validity and internal consistency of the preschool-FLAT (Food Literacy Assessment Tool). Methods. 505 children from 21 kindergartens, recruited within the Training-to-Health Project in Palermo (Italy), underwent oral sessions and activities on food-related aspects. Their knowledge/skills were recorded in the preschool-FLAT. The following scale measures were assessed: Content validity; internal consistency (Chronbach’s alpha coefficients); construct validity (Structural Equation Modeling—SEM); discriminant validity (intervention subgroup of 100 children vs. control group of 27 children). Results. Acceptable content validity of a 16-items scale and overall adequate internal consistency were revealed: Content validity index (CVI) 0.94, content validity ratio (CVR) 0.88, Chronbach’s alpha 0.76. The SEM revealed a 4-factor model fitting the data well (comparative fit index 0.939, root mean square error of approximation 0.033). Discriminant validity was good (intervention group scoring higher than control, p < 0.001, unpaired Student’s t-test). Conclusion. The preschool-FLAT revealed good psychometric properties, adequate validity and internal consistency. This is the only instrument in the literature specifically targeted to 3–6 years old children that could be effectively used to assess food literacy.

Examination of customer-centric measures among different types of customers in the context of major Canadian ski resort

2018 ◽  
Vol 30 (2) ◽  
pp. 438-459
Author(s):  
Matti J. Haverila ◽  
Kai Christian Haverila
Keyword(s):  
Customer Satisfaction ◽  
Structural Equation ◽  
A Priori ◽  
Equation Modeling ◽  
Marketing Practice ◽  
Content Type ◽  
Ski Resort ◽  
Different Types ◽  
Managerial Implications ◽  
Satisfaction Model

Purpose Customer-centric measures such as customer satisfaction and repurchase intent are important indicators of performance. The purpose of this paper is to examine what is the strength and significance of the path coefficients in a customer satisfaction model consisting of various customer-centric measures for different types of ski resort customer (i.e. day, weekend and ski holiday visitors as well as season pass holders) in a ski resort in Canada. Design/methodology/approach The results were analyzed using the partial least squares structural equation modeling approach for the four different types ski resort visitors. Findings There appeared to differences in the strength and significance in the customer satisfaction model relationships for the four types of ski resort visitors indicating that the a priori managerial classification of the ski resort visitors is warranted. Originality/value The research pinpoints differences in the strength and significance in the relationships between customer-centric measures for four different types ski resort visitors, i.e. day, weekend and ski holiday visitors as well as season pass holders, which have significant managerial implications for the marketing practice of the ski resort.

scholarly journals Attitudes toward Health Systems Financing in Chile

2021 ◽  
Vol 58 ◽  
pp. 004695802110201
Author(s):  
Pablo A. González ◽  
Laura L. Gutiérrez ◽  
Juan Carlos Oyanedel ◽  
Héctor Sánchez-Rodríguez
Keyword(s):  
Health Systems ◽  
Health Care Providers ◽  
Structural Equation ◽  
Public Attitudes ◽  
Equation Modeling ◽  
Care Providers ◽  
Public Provision ◽  
The Public ◽  
People’S Attitudes ◽  
Willingness To Contribute

This article presents an exploratory model to classify public attitudes towards health systems financing and organization. It comprises 5 factors (pay-as-you-use, solidarity, willingness to contribute, mixed financing, and public provision) measured by 17 indicators, selected through Exploratory Structural Equation Modeling (ESEM) applied to a sample of Chilean adults. Based on this model, cluster analysis proposed 2 groups: “Taxes-public” and “Insurance-choice,” representing 47% and 53% of interviewees, respectively. The results show differences between groups concerning the evaluation of both health care providers and insurers. The second cluster tends to evaluate them more harshly, showing less willingness to contribute further, less solidarity, more agreement with the current financing arrangement in terms of the mixture and its insurance (as opposed to purchasing of service based on health problems), and more support for choice of provider. These results highlight the need to consider people’s attitudes in the public discussion of health systems financing.

The Structure of the Emotional Processing Scale (EPS-25)

2021 ◽  
pp. 1-10
Author(s):  
Marco Lauriola ◽  
Maria Anna Donati ◽  
Cristina Trentini ◽  
Manuela Tomai ◽  
Stefano Pontone ◽  
...  
Keyword(s):  
Structural Equation ◽  
Emotional Processing ◽  
Discriminant Validity ◽  
Emotional Experience ◽  
Gastrointestinal Symptoms ◽  
Good Health ◽  
Equation Modeling ◽  
Medical Patients ◽  
Confirmatory Factor Analyses ◽  
Mean Differences

Abstract. The Emotional Processing Scale (EPS) assesses emotional processing in terms of suppression, signs of unprocessed emotion, controllability of emotions, avoidance of emotional triggers, and impoverished emotional experience. Previous confirmatory factor analyses (CFA) yielded insufficient fit and questioned the EPS factors’ discriminant validity. The present study aimed to test unidimensional, five-factor, and bifactor models using exploratory structural equation modeling (ESEM) and CFA. We administered the scale to 350 Italian participants in good health and 346 gastrointestinal patients referred for endoscopy because of mild-to-severe gastrointestinal symptoms. ESEM models outperformed corresponding CFA models. The bifactor ESEM model was a good fit in single group analyses and achieved metric and scalar invariance in multigroup analyses. The inspection of latent mean differences revealed a consistent trend for patients to avoid emotional triggers and have less general emotional processing difficulties. The study clarified the EPS factor structure and supported its use to assess the emotional processing of medical patients and community participants.

Common Method Bias in PLS-SEM

2015 ◽  
Vol 11 (4) ◽  
pp. 1-10 ◽  
Author(s):  
Ned Kock
Keyword(s):  
Structural Equation ◽  
Discriminant Validity ◽  
Least Squares Method ◽  
Common Method ◽  
Equation Modeling ◽  
Common Method Bias ◽  
Validity Assessment ◽  
Convergent And Discriminant Validity ◽  
Partial Least Squares Method ◽  
Method Bias

The author discusses common method bias in the context of structural equation modeling employing the partial least squares method (PLS-SEM). Two datasets were created through a Monte Carlo simulation to illustrate the discussion: one contaminated by common method bias, and the other not contaminated. A practical approach is presented for the identification of common method bias based on variance inflation factors generated via a full collinearity test. The author's discussion builds on an illustrative model in the field of e-collaboration, with outputs generated by the software WarpPLS. They demonstrate that the full collinearity test is successful in the identification of common method bias with a model that nevertheless passes standard convergent and discriminant validity assessment criteria based on a confirmation factor analysis.

scholarly journals Early Predictors of Long-Term Disability After Injury

2003 ◽  
Vol 12 (3) ◽  
pp. 197-205 ◽  
Author(s):  
Therese S. Richmond ◽  
Donald Kauder ◽  
Janice Hinkle ◽  
Justine Shults
Keyword(s):  
At Risk ◽  
Structural Equation Modeling ◽  
Psychological Distress ◽  
Structural Equation ◽  
Equation Modeling ◽  
Specific Information ◽  
Care Providers ◽  
Early Predictors ◽  
Patients At Risk

• Background Improving outcomes after serious injury is important to patients, patients’ families, and healthcare providers. Identifying early risk factors for long-term disability after injury will help critical care providers recognize patients at risk. • Objectives To identify early predictors of long-term disability after injury and to ascertain if age, level of disability before injury, posttraumatic psychological distress, and social network factors during hospitalization and recovery significantly contribute to long-term disability after injury. • Methods A prospective, correlational design was used. Injury-specific information on 63 patients with serious, non–central nervous system injury was obtained from medical records; all other data were obtained from interviews (3 per patient) during a 2½-year period. A model was developed to test the theoretical propositions of the disabling process. Predictors of long-term disability were evaluated using path analysis in the context of structural equation modeling. • Results Injuries were predominately due to motor vehicle crashes (37%) or violent assaults (21%). Mean Injury Severity Score was 13.46, and mean length of stay was 12 days. With structural equation modeling, 36% of the variance in long-term disability was explained by predictors present at the time of injury (age, disability before injury), during hospitalization (psychological distress), or soon after discharge (psychological distress, short-term disability after injury). • Conclusions Disability after injury is due partly to an interplay between physical and psychological factors that can be identified soon after injury. By identifying these early predictors, patients at risk for suboptimal outcomes can be detected.

scholarly journals Managerial Leadership and Performance as Fully Mediated by Transformational Leadership through Structural Equation Modeling

2021 ◽  
Vol 04 (06) ◽  
Author(s):  
Arthur Ong Buenavista ◽  
Keyword(s):  
Transformational Leadership ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Discriminant Validity ◽  
School Administrators ◽  
Information Criterion ◽  
Equation Modeling ◽  
Managerial Leadership ◽  
Equivalent Models ◽  
And Performance

This study investigated the relationships among managerial leadership, transformational leadership, and performance of school administrators of Northern Iloilo Polytechnic State College (NIPSC) through Structural Equation Modeling (SEM). Covariance-Based SEM (CB-SEM), Confirmatory Factor Analysis (CFA) with its default Maximum Likelihood Estimation (MLE) were used to test the hypothesized model that managerial leadership covary transformational leadership which were both related to the school administrators’ performance. Results revealed that of the eight alternative models, two equivalent models, one model generates every probability distribution that can be generated by another model, Model B3 and Model D3 were generated, got the smallest Alkaike Information Criterion (AIC) and Bayes Information Criterion (BIC) indicating that both models had relatively better fit. Model B3 and Model D3 have the same degrees of freedom but feature a different configuration of paths among the same variables. However, of the two equivalent models, model B3 was rejected due to discriminant validity concerns while model D3 passed both measurement model and structural model, model D3 was confirmed and retained. As contribution to the fields of education, management and leadership, the researcher confirmed and recommends, through CB-SEM using CFA with its default MLE, the Managerial Leadership and Performance as fully mediated by Transformational Leadership Model.

scholarly journals Mediation role of perceived social support and burnout on financial satisfaction and turnover intention in primary care providers: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Huosheng Yan ◽  
Lingzhi Sang ◽  
Hongzhang Liu ◽  
Cancan Li ◽  
Zijing Wang ◽  
...  
Keyword(s):  
Social Support ◽  
Primary Care ◽  
Turnover Intention ◽  
Structural Equation ◽  
Perceived Social Support ◽  
Maslach Burnout Inventory ◽  
Primary Care Providers ◽  
Equation Modeling ◽  
Financial Satisfaction ◽  
Care Providers

Abstract Background Turnover intention is a major cause of reduced team morale and low work efficiency. It hinders work performance and reduces the quality of medical services. This study aimed to investigate the relationship between financial satisfaction and turnover intention and its mediators among primary care providers. Methods Multi-stage random cluster sampling was used to select 1241 participants from four counties and three districts in Anhui province, China. Data were collected using a self-administered questionnaire. Turnover intention was assessed with a turnover intention assessment scale. Perceived social support and burnout were measured with the 12-item Perceived Social Support Scale and the Chinese version of the Maslach Burnout Inventory, respectively. Structural equation modeling was used for data analysis. Results The findings showed high turnover intention among primary care providers (mean score 14.16 ± 4.337), and most providers reported low financial satisfaction (mean score 2.49 ± 0.990). The mean perceived social support score was 64.93 ± 13.229, and only 6.1% of primary care providers reported no burnout. Compared with participants with high financial satisfaction, those with low financial satisfaction were more likely to report higher turnover intention (β = − 0.216, p < 0.001), less perceived social support (β = 0.181, p < 0.001), and more severe burnout (β = − 0.123, p < 0.05). Turnover intention may be related to perceived social support (β = − 0.147, p < 0.001) and burnout (β = 0.239, p < 0.001). Furthermore, the effect of financial satisfaction on turnover intention was significantly mediated by perceived social support (β = − 0.027, p < 0.001) and burnout (β = − 0.029, p < 0.05). Conclusions Turnover intention is associated with financial satisfaction, with this association mediated by perceived social support and burnout. A reasonable mechanism needs to be established to improve financial satisfaction and perceived social support and reduce burnout among primary care providers.

scholarly journals Dynamic Capabilities and Competitive Advantage of Telecommunication Companies in Ghana. The Role of Innovation Capability

2021 ◽  
pp. 146-160
Author(s):  
Nana Esi Quagraine ◽  
Cai Li ◽  
Isaac Ahakwa ◽  
Nana Aba Quagraine
Keyword(s):  
Competitive Advantage ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Discriminant Validity ◽  
Internal Consistency Reliability ◽  
Equation Modeling ◽  
Innovation Capability ◽  
Sustainable Performance ◽  
Convergent And Discriminant Validity ◽  
Telecommunication Companies

This paper explored the link between dynamic capabilities, innovation capabilities, and competitive advantage of telecommunication companies in Ghana, considering a mediation interaction. Data were obtained from two hundred and fifty (250) employees from selected telecommunication companies in the Accra metropolis through simple random probability sampling. However, two hundred and forty-two (242) responses were deemed accurate and used in the analysis. Partial Least Squares (PLS) based on Structural Equation Modeling (SEM) was employed in the analysis. From the findings, this study’s data met internal consistency reliability, convergent, and discriminant validity. Dynamic capabilities had a positive and significant impact on innovation capability and competitive advantage. Also, dynamic capabilities through innovation capability positively impacted competitive advantage and were statistically significant. Based on the findings, it’s recommended that organizations and managers consider both exploitation and exploration competencies in product development as both competencies influence various aspects of an organization’s competitive advantage, as this will help ensure organizations’ sustainable performance and thus remain competitive.

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