scholarly journals Research concerning the Care Planning by Care Managers in Home-Based Community Care Support Centers of Japan

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 958-958
Author(s):  
Takako Ayabe ◽  
Shinichi Okada
Keyword(s):  
Structural Equation ◽  
Care Management ◽  
Equation Modeling ◽  
Care Planning ◽  
Fit Indices ◽  
Independent Variables ◽  
Care Services ◽  
Care Managers ◽  
Home Based ◽  
Formal Services

Abstract The research was conducted between February 9 and 28, 2017. The care management centers were randomly selected from the national list of the centers. The data were collected by self-administered questionnaires mailed to the care managers at 500 care management centers in six prefectures in the Kinki area of Japan. The independent variables were gender, age, experience years of care managers and/or social workers, Clients’ Physical and Mental conditions (CPM), Client’s Lifestyle (CL), Physical and Mental conditions of the Caregivers (PMC), and Human and Financial resources for Clients and their Caregivers (HFCC). The dependent of variables were the categorized contents in the care planning. They included the Approach for exploring Client’s needs (AC), Coordination among Care services within the program in accordance with the needs of client (CC), Coordination among Formal services and informal supports without the program in accordance with the needs of clients (CF). We examined the relationships between the dependent and independent variables by using the Structural Equation Modeling. The results indicated that the goodness of the fit indices was acceptable, and we retained the models. In correlational analyses, AC was significantly correlated with PMC (p<.01), CPM (p<.05), and CL (p<.001). CC was significantly correlated with PMC (p<.001), CPM (p<.001), and CL (p<.01). CF was significantly correlated with PMC (p<.05), HFCC (p<.05), and CL (p<.05). In conclusion, our findings suggest that care managers should recognize that　information concerning the clients’ and their caregivers’ conditions is significant in making appropriate care planning for the clients and their caregivers.

A Psychometric Study of the Quality Perception Questionnaire

2012 ◽  
Vol 71 (2) ◽  
pp. 101-106 ◽  
Author(s):  
Raffaele Cioffi† ◽  
Anna Coluccia ◽  
Fabio Ferretti ◽  
Francesca Lorini ◽  
Aristide Saggino ◽  
...  
Keyword(s):  
Structural Equation ◽  
Factor Model ◽  
Equation Modeling ◽  
Fit Indices ◽  
Quality Perception ◽  
Italian Survey ◽  
Confirmatory Factor ◽  
Instrument Measuring ◽  
Hospital Structures

The present paper reexamines the psychometric properties of the Quality Perception Questionnaire (QPQ), an Italian survey instrument measuring patients’ perceptions of the quality of a recent hospital admission experience, in a sample of 4400 patients (Mage = 56.42 years; SD = 19.71 years, 48.8% females). The 14-item survey measures four factors: satisfaction with medical doctors, nursing staff, auxiliary staff, and hospital structures. First, we tested two models using a confirmatory factor analysis (structural equation modeling): a four orthogonal factor and a four oblique factor model. The SEM fit indices and the χ² difference suggested the acceptance of the second model. We then did a simulation using a bootstrap with 1000 replications. Results confirmed the four oblique factor solution. Third, we tested whether there were significant differences with respect to age or sex. The multivariate general linear model showed no significant differences in the factors with respect to sex or age.

Older Adults in Rural Appalachia

2017 ◽  
Vol 86 (4) ◽  
pp. 364-381 ◽  
Author(s):  
Raven H. Weaver ◽  
Karen A. Roberto ◽  
Rosemary Blieszner
Keyword(s):  
Older Adults ◽  
Mixed Method ◽  
Structural Equation ◽  
Community Services ◽  
Equation Modeling ◽  
Care Needs ◽  
Formal Services ◽  
Future Care ◽  
Rural Appalachia ◽  
Informal Help

Little is known about how rural-dwelling older adults anticipate and plan for future care needs. Using a mixed-method explanatory design, structural equation modeling ( n = 535) revealed significant associations between concerns about using services on preference for type of help; preference was associated with likelihood of using future services. Content analysis of interview data from 19 older adults who needed but were not receiving help revealed how they conceptualize their need for assistance and anticipated future care arrangements. Nine older adults were not thinking about future care needs. While most older adults articulated preferences for informal help, they indicated some openness to formal assistance. Preferences did not always align with expectations for the future. Rather, concerns about burdening family and friends outweighed concerns about community services and influenced expectations of using formal services. Understanding rural older adults’ expectations for future care arrangements is necessary for advancing policy and implementing successful services options.

scholarly journals INTEGRATING THE IMPACT OF COUNTRY OF ORIGIN (COC) AND CONSUMER ETHNOCENTRISM (CE) ON GLOBAL MARKETING (GM) AND GROWING CONSUMER TRENDS (GCT) EVIDENCES FROM PHARMACEUTICAL INDUSTRIES IN INDONES

2017 ◽  
Vol 11 (1) ◽  
Author(s):  
Kardison Lumban Batu
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Country Of Origin ◽  
Equation Modeling ◽  
Global Marketing ◽  
Consumer Ethnocentrism ◽  
Independent Variables ◽  
Pharmaceutical Industries ◽  
The Impact

The current research is empirically investigated the impact of country of origin and consumer ethnocentrism on growing customer trend directly also through global marketing as mediating variable. It is also assessed the impact of global marketing on growing consumer trend. By deploying Structural Equation Modeling with AMOS, three independent variables were analyzed, country of origin (CoC), global marketing (GM), consumer ethnocentrism (CE) and growing consumer trend (GCT) as dependent variable. The findings showed that both country of origin (CoC) and consumer ethnocentrism (CE) have significant effect on global marketing (GM) as well as on growing consumer trend (GCT). Further, global marketing (GM) successfully mediated and showed significant effect of both country of origin and consumer ethnocentrism. Finally global marketing has significant impact on growing consume trend.

scholarly journals Women’s self-care behavior and its relationship with social capital in Yazd, Iran

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hamideh Shiri-Mohammadabad ◽  
Seyed Alireza Afshani
Keyword(s):  
Social Capital ◽  
Structural Equation ◽  
Self Care ◽  
Equation Modeling ◽  
Fit Indices ◽  
Factors Affecting ◽  
Positive Effects ◽  
The Social ◽  
The City ◽  
Care Behavior

Abstract Background Research on factors affecting self-care is scarce. The social factors, in particular, have not been yet investigated in Iran. Therefore, the present study aimed to investigate the relationship between self-care and social capital among women. Methods The participants were 737 women who were living in the marginal, middle and upper areas in the city of Yazd, Iran. Data were collected using a researcher-made self-care questionnaire and Harper’s (Off Natl Stat 11:2019, 2019) Social Capital Scale. The data were analyzed using structural equation modeling by SPSS and Amos v24. Results The results showed that the social capital had significant positive effects on the general self-care behavior of the participants (β = 0.56, p < 0.001). It also had significant positive effects on the self-care behavior of women living in the marginal (β = 0.58), middle (β = 0.49) and upper (β = 0.62) parts of the city (p < 0.001). Besides, the women living in the marginal parts had relatively lower levels of self-care compared to those living in the middle and upper parts of the city. The examination of the fit indices indicated that the model has a good fit (CMIN/DF = 2.087, NFI = 0.921, RMSEA = 0.027, CFI = 0.956, TLI = 0.940, GFI = 0.956, IFI = 0.957). Conclusion The findings of this study demonstrated that social capital has significant positive effects on the general self-care behavior of women. Therefore, improving their self-care can be achieved through promoting their social capital.

scholarly journals Biståndshandläggare om möten med sent-i-livet-invandrade äldre – inblick i hur en institutionell kategori skapas

2016 ◽  
Vol 22 (1) ◽  
Author(s):  
Sandra Torres ◽  
Anna Olaison ◽  
Emilia Forssell
Keyword(s):  
Care Management ◽  
Management Practice ◽  
Elderly Care ◽  
Cross Cultural ◽  
Cultural Interaction ◽  
Assessment Practice ◽  
Care Services ◽  
Care Managers ◽  
Group Interviews ◽  
The One

Care managers on need assessment with late-in-life immigrants: insights into how an institutional category is created Research on the implications of cross-cultural interaction for needs assessment practice is scarce. This is particularly the case when it comes to research on care management within elderly care. There is therefore a need to explore the ways in which care managers regard and experience cross-cultural interaction when assessing older people’s needs prior to granting access to elderly care services. This article is based on a project that aimed to explore just that through focus group interviews with care managers (n=60) who work within the context of Swedish elderly care. The analysis presented here addresses the ways through which an institutional category is created as care managers discuss the kind of cross-cultural interaction that they find the most challenging (which is the one involving older people who migrated late, do not speak Swedish and come from cultures that are deemed to be too different). The analysis discloses the underlying assumptions about Otherness that the care managers alluded to when sharing their views on, and experiences of, assessing needs by way of cross-cultural interaction with late-in-life immigrants. The article discusses the implications that these findings have for care management practice in Sweden considering that the legislation dictates that care managers need to attend to older people’s “uniqueness”. The analysis reveals that the uniqueness associated with certain client categories is too unique to cater for

Home-Based Teleshopping and Shopping Travel

2005 ◽  
Vol 1926 (1) ◽  
pp. 212-223 ◽  
Author(s):  
Christopher E. Ferrell
Keyword(s):  
San Francisco ◽  
Structural Equation ◽  
Equation Modeling ◽  
Information And Communications Technologies ◽  
Home Shopping ◽  
Bay Area ◽  
Home Based ◽  
Communications Technologies ◽  
Shopping Trips ◽  
Shopping Travel

Structural equation modeling techniques were used to explore the tradeoffs that people make when teleshopping from home. Early in the development and growth of online shopping, many assumed that it would become a direct substitute for traditional retail (out-of-home) shopping and thereby reduce shopping trips and vehicle miles traveled. A growing body of research on the interplay between the use of information and communications technologies suggests that people shop and travel for a multitude of reasons that depend on the interplay between lifestyle, availability and convenience of shopping opportunities and the demands of other activities during the day. Using the San Francisco Bay Area Travel Survey 2000 from California, this paper performs an activities analysis to investigate these relationships. Time use variables predict the amount of time each individual spends during the day on work, maintenance, discretionary, and shopping activities both inside and outside the home. These activities are used to predict the amount of shopping travel each person undertook. Results suggest that people substitute home teleshopping time for shopping travel time and that teleshoppers take fewer shopping trips and travel shorter total distances for shopping purposes. Variables constructed to represent the degree to which people are “time-starved” from the demands of their work and maintenance activities revealed that female heads of households tend to teleshop more, make more shopping trips and shopping trip chains, do more out-of-home shopping, and shop travel for longer periods than the rest of the survey population.

‘We’re Giving Them Choice Which Is Controlled Choice’—Care Managers’ Views on Finding Social Care Support for People with Learning Disabilities

2019 ◽  
Vol 50 (7) ◽  
pp. 2063-2082
Author(s):  
Lisa Richardson ◽  
Agnes Turnpenny ◽  
Beckie Whelton ◽  
Julie Beadle-Brown
Keyword(s):  
Learning Disabilities ◽  
Care Management ◽  
Social Care ◽  
Qualitative Interviews ◽  
Policy And Practice ◽  
Controlled Choice ◽  
Care Services ◽  
Care Managers ◽  
Quality Choice

Abstract Choice and control are pivotal in UK Government policy for achieving personalisation of social care for people with learning disabilities; however, little is known about the role care management plays in supporting people with learning disabilities finding social care services. This article explores that the support care managers provide people with learning disabilities, how care managers source and use information to offer choice in relation to accommodation and support, with a focus on people receiving managed budgets. Qualitative interviews with eight care managers from two local authorities in the South East of England were analysed using thematic network analysis, producing three global themes. The first ‘shaping choice’ describes the role of the care management process and assessments have in determining opportunities for choice. The gathering and interpretation of quality information is explored in the second global theme, highlighting the role of visiting settings to understand their quality. ‘Choice in principle’ is the third global theme, whereby the factors shaping choice come to be seen as choice akin to that anyone else has. These findings have implications for future policy and practice in relation to care management for people with learning disabilities.

scholarly journals The Impact of Intraclass Correlation on the Effectiveness of Level-Specific Fit Indices in Multilevel Structural Equation Modeling

2016 ◽  
Vol 77 (1) ◽  
pp. 5-31 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Jr-Hung Lin ◽  
Oi-Man Kwok ◽  
Sandra Acosta ◽  
Victor Willson
Keyword(s):  
Structural Equation ◽  
Structural Equation Models ◽  
Intraclass Correlation ◽  
Monte Carlo Study ◽  
Multilevel Structural Equation Modeling ◽  
Equation Modeling ◽  
Saturated Model ◽  
Fit Indices ◽  
The Impact ◽  
Multilevel Structural Equation

Several researchers have recommended that level-specific fit indices should be applied to detect the lack of model fit at any level in multilevel structural equation models. Although we concur with their view, we note that these studies did not sufficiently consider the impact of intraclass correlation (ICC) on the performance of level-specific fit indices. Our study proposed to fill this gap in the methodological literature. A Monte Carlo study was conducted to investigate the performance of (a) level-specific fit indices derived by a partially saturated model method (e.g., [Formula: see text] and [Formula: see text]) and (b) [Formula: see text] and [Formula: see text] in terms of their performance in multilevel structural equation models across varying ICCs. The design factors included intraclass correlation (ICC: ICC1 = 0.091 to ICC6 = 0.500), numbers of groups in between-level models (NG: 50, 100, 200, and 1,000), group size (GS: 30, 50, and 100), and type of misspecification (no misspecification, between-level misspecification, and within-level misspecification). Our simulation findings raise a concern regarding the performance of between-level-specific partial saturated fit indices in low ICC conditions: the performances of both [Formula: see text] and [Formula: see text] were more influenced by ICC compared with [Formula: see text] and SRMRB. However, when traditional cutoff values ( RMSEA≤ 0.06; CFI, TLI≥ 0.95; SRMR≤ 0.08) were applied, [Formula: see text] and [Formula: see text] were still able to detect misspecified between-level models even when ICC was as low as 0.091 (ICC1). On the other hand, both [Formula: see text] and [Formula: see text] were not recommended under low ICC conditions.

Structural Equation Modeling: An Alternative to Traditional Validation Techniques

1986 ◽  
Vol 14 (4) ◽  
pp. 345-352
Author(s):  
Margaret E. Bell ◽  
Jean A. Massey
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Statistical Significance ◽  
Equation Modeling ◽  
Fit Indices ◽  
T Values ◽  
Conditions Of Learning ◽  
Nursing Course ◽  
Cardiovascular Nursing

Validation of the sequencing of objectives is an important step in structural design. Prior statistical techniques, such as the reproducibility coefficient, have yielded only summary information. In contrast, structural equation modeling provides both goodness-of-fit indices and effect coefficients for links or paths between time-ordered events, i.e., objectives. Discussed here is the application of structural equation modeling to a set of objectives in a senior-level cardiovascular nursing course. Consistent with the theory-based requirement of structural equation modeling, the objectives were developed using Robert Gagné's conditions of learning. Also discussed is the use of “t” values, which indicate statistical significance of the paths, for testing instructional links in the learning model.

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