The Experts below are selected from a list of 136314 Experts worldwide ranked by ideXlab platform

Åsa Kettis Lindblad - One of the best experts on this subject based on the ideXlab platform.

  • A structural equation Modeling approach to the concepts of adherence and readiness in antiretroviral treatment.
    Patient Education and Counseling, 2007
    Co-Authors: Björn Södergård, Stefan Höfer, Margit Halvarsson, Anders Sönnerborg, Mary P. Tully, Åsa Kettis Lindblad
    Abstract:

    OBJECTIVE: The objective of this secondary analysis of data from a cross-sectional, nation-wide survey, was to test a Hypothesized Model with two latent concepts (readiness and adherence), based on the theory of trigger events. A secondary objective was to compare this Model with two simpler Models, without the concept of readiness. METHODS: Data consisted of a consecutive sample of 828 HIV patients > or = 18 years on antiretroviral treatment at 30 out of 32 HIV Clinics in Sweden (response rate 97.5%). Structural equation Modeling (SEM) was used to test the Models against the empirical data. Chi2 test was used to compare fit between Models. RESULTS: The Hypothesized Model, with two latent concepts (readiness and adherence), fitted the data best (chi(2)=223.508, d.f.=129, p-value

  • A structural equation Modeling approach to the concepts of adherence and readiness in antiretroviral treatment.
    Patient education and counseling, 2007
    Co-Authors: Björn Södergård, Stefan Höfer, Margit Halvarsson, Anders Sönnerborg, Mary P. Tully, Åsa Kettis Lindblad
    Abstract:

    The objective of this secondary analysis of data from a cross-sectional, nation-wide survey, was to test a Hypothesized Model with two latent concepts (readiness and adherence), based on the theory of trigger events. A secondary objective was to compare this Model with two simpler Models, without the concept of readiness. Data consisted of a consecutive sample of 828 HIV patients > or = 18 years on antiretroviral treatment at 30 out of 32 HIV Clinics in Sweden (response rate 97.5%). Structural equation Modeling (SEM) was used to test the Models against the empirical data. Chi2 test was used to compare fit between Models. The Hypothesized Model, with two latent concepts (readiness and adherence), fitted the data best (chi(2)=223.508, d.f.=129, p-value<0.0001, GFI=0.970, CFI=0.913, RMSEA=0.030), and significantly better than the Models with adherence as the only latent concept. Although the SEM technique could not rule out that other Models might also fit the data equally well, the Hypothesized Model, where readiness and adherence were two separate latent concepts, fitted data the best. This supports readiness as a distinct factor that influences adherence and hence treatment outcome. Increased attention should therefore be attached to interventions that focus on the individual' readiness for behavioural change, i.e. factors amendable to change and that can be addressed by the patients themselves. Based on these results it seems necessary to shift focus from adherence to readiness, especially in conditions where treatment can be postponed such as antiretroviral treatment.

Björn Södergård - One of the best experts on this subject based on the ideXlab platform.

  • A structural equation Modeling approach to the concepts of adherence and readiness in antiretroviral treatment.
    Patient Education and Counseling, 2007
    Co-Authors: Björn Södergård, Stefan Höfer, Margit Halvarsson, Anders Sönnerborg, Mary P. Tully, Åsa Kettis Lindblad
    Abstract:

    OBJECTIVE: The objective of this secondary analysis of data from a cross-sectional, nation-wide survey, was to test a Hypothesized Model with two latent concepts (readiness and adherence), based on the theory of trigger events. A secondary objective was to compare this Model with two simpler Models, without the concept of readiness. METHODS: Data consisted of a consecutive sample of 828 HIV patients > or = 18 years on antiretroviral treatment at 30 out of 32 HIV Clinics in Sweden (response rate 97.5%). Structural equation Modeling (SEM) was used to test the Models against the empirical data. Chi2 test was used to compare fit between Models. RESULTS: The Hypothesized Model, with two latent concepts (readiness and adherence), fitted the data best (chi(2)=223.508, d.f.=129, p-value

  • A structural equation Modeling approach to the concepts of adherence and readiness in antiretroviral treatment.
    Patient education and counseling, 2007
    Co-Authors: Björn Södergård, Stefan Höfer, Margit Halvarsson, Anders Sönnerborg, Mary P. Tully, Åsa Kettis Lindblad
    Abstract:

    The objective of this secondary analysis of data from a cross-sectional, nation-wide survey, was to test a Hypothesized Model with two latent concepts (readiness and adherence), based on the theory of trigger events. A secondary objective was to compare this Model with two simpler Models, without the concept of readiness. Data consisted of a consecutive sample of 828 HIV patients > or = 18 years on antiretroviral treatment at 30 out of 32 HIV Clinics in Sweden (response rate 97.5%). Structural equation Modeling (SEM) was used to test the Models against the empirical data. Chi2 test was used to compare fit between Models. The Hypothesized Model, with two latent concepts (readiness and adherence), fitted the data best (chi(2)=223.508, d.f.=129, p-value<0.0001, GFI=0.970, CFI=0.913, RMSEA=0.030), and significantly better than the Models with adherence as the only latent concept. Although the SEM technique could not rule out that other Models might also fit the data equally well, the Hypothesized Model, where readiness and adherence were two separate latent concepts, fitted data the best. This supports readiness as a distinct factor that influences adherence and hence treatment outcome. Increased attention should therefore be attached to interventions that focus on the individual' readiness for behavioural change, i.e. factors amendable to change and that can be addressed by the patients themselves. Based on these results it seems necessary to shift focus from adherence to readiness, especially in conditions where treatment can be postponed such as antiretroviral treatment.

Devrim Ozdemir - One of the best experts on this subject based on the ideXlab platform.

  • The Relationship between Educational Ideologies and Technology Acceptance in Pre-Service Teachers
    Educational Technology & Society, 2006
    Co-Authors: Ercan Kiraz, Devrim Ozdemir
    Abstract:

    After the evaluation of numerous technology integration programs in school districts and universities, it is recognized that the existence of technology does not guarantee its utilization in the classroom environment. Although many Models and theories have tried to explain the contributing factors in technology acceptance, most of the Models and theories have focused on technology-related factors. This study focused on educational ideology, a factor not related to technology that also affects decisions in terms of educational applications. Based on the literature review, we Hypothesized a new Model of technology acceptance which includes educational ideology as an external factor. We attempted to create a Model that was compatible with our Hypothesized Model by collecting data from surveys completed by 320 pre-service teachers. Structural Equation Modeling was employed to create the path analytic Model. The variables used in the path analytic Model were the components of the original Technology Acceptance Model and six different educational ideologies. The results showed that the new Model was consistent with the Hypothesized Model. Therefore, the results illustrate that different educational ideologies may have different effects on teachers’ technology acceptance.

Anders Sönnerborg - One of the best experts on this subject based on the ideXlab platform.

  • A structural equation Modeling approach to the concepts of adherence and readiness in antiretroviral treatment.
    Patient Education and Counseling, 2007
    Co-Authors: Björn Södergård, Stefan Höfer, Margit Halvarsson, Anders Sönnerborg, Mary P. Tully, Åsa Kettis Lindblad
    Abstract:

    OBJECTIVE: The objective of this secondary analysis of data from a cross-sectional, nation-wide survey, was to test a Hypothesized Model with two latent concepts (readiness and adherence), based on the theory of trigger events. A secondary objective was to compare this Model with two simpler Models, without the concept of readiness. METHODS: Data consisted of a consecutive sample of 828 HIV patients > or = 18 years on antiretroviral treatment at 30 out of 32 HIV Clinics in Sweden (response rate 97.5%). Structural equation Modeling (SEM) was used to test the Models against the empirical data. Chi2 test was used to compare fit between Models. RESULTS: The Hypothesized Model, with two latent concepts (readiness and adherence), fitted the data best (chi(2)=223.508, d.f.=129, p-value

  • A structural equation Modeling approach to the concepts of adherence and readiness in antiretroviral treatment.
    Patient education and counseling, 2007
    Co-Authors: Björn Södergård, Stefan Höfer, Margit Halvarsson, Anders Sönnerborg, Mary P. Tully, Åsa Kettis Lindblad
    Abstract:

    The objective of this secondary analysis of data from a cross-sectional, nation-wide survey, was to test a Hypothesized Model with two latent concepts (readiness and adherence), based on the theory of trigger events. A secondary objective was to compare this Model with two simpler Models, without the concept of readiness. Data consisted of a consecutive sample of 828 HIV patients > or = 18 years on antiretroviral treatment at 30 out of 32 HIV Clinics in Sweden (response rate 97.5%). Structural equation Modeling (SEM) was used to test the Models against the empirical data. Chi2 test was used to compare fit between Models. The Hypothesized Model, with two latent concepts (readiness and adherence), fitted the data best (chi(2)=223.508, d.f.=129, p-value<0.0001, GFI=0.970, CFI=0.913, RMSEA=0.030), and significantly better than the Models with adherence as the only latent concept. Although the SEM technique could not rule out that other Models might also fit the data equally well, the Hypothesized Model, where readiness and adherence were two separate latent concepts, fitted data the best. This supports readiness as a distinct factor that influences adherence and hence treatment outcome. Increased attention should therefore be attached to interventions that focus on the individual' readiness for behavioural change, i.e. factors amendable to change and that can be addressed by the patients themselves. Based on these results it seems necessary to shift focus from adherence to readiness, especially in conditions where treatment can be postponed such as antiretroviral treatment.

Mary P. Tully - One of the best experts on this subject based on the ideXlab platform.

  • A structural equation Modeling approach to the concepts of adherence and readiness in antiretroviral treatment.
    Patient Education and Counseling, 2007
    Co-Authors: Björn Södergård, Stefan Höfer, Margit Halvarsson, Anders Sönnerborg, Mary P. Tully, Åsa Kettis Lindblad
    Abstract:

    OBJECTIVE: The objective of this secondary analysis of data from a cross-sectional, nation-wide survey, was to test a Hypothesized Model with two latent concepts (readiness and adherence), based on the theory of trigger events. A secondary objective was to compare this Model with two simpler Models, without the concept of readiness. METHODS: Data consisted of a consecutive sample of 828 HIV patients > or = 18 years on antiretroviral treatment at 30 out of 32 HIV Clinics in Sweden (response rate 97.5%). Structural equation Modeling (SEM) was used to test the Models against the empirical data. Chi2 test was used to compare fit between Models. RESULTS: The Hypothesized Model, with two latent concepts (readiness and adherence), fitted the data best (chi(2)=223.508, d.f.=129, p-value

  • A structural equation Modeling approach to the concepts of adherence and readiness in antiretroviral treatment.
    Patient education and counseling, 2007
    Co-Authors: Björn Södergård, Stefan Höfer, Margit Halvarsson, Anders Sönnerborg, Mary P. Tully, Åsa Kettis Lindblad
    Abstract:

    The objective of this secondary analysis of data from a cross-sectional, nation-wide survey, was to test a Hypothesized Model with two latent concepts (readiness and adherence), based on the theory of trigger events. A secondary objective was to compare this Model with two simpler Models, without the concept of readiness. Data consisted of a consecutive sample of 828 HIV patients > or = 18 years on antiretroviral treatment at 30 out of 32 HIV Clinics in Sweden (response rate 97.5%). Structural equation Modeling (SEM) was used to test the Models against the empirical data. Chi2 test was used to compare fit between Models. The Hypothesized Model, with two latent concepts (readiness and adherence), fitted the data best (chi(2)=223.508, d.f.=129, p-value<0.0001, GFI=0.970, CFI=0.913, RMSEA=0.030), and significantly better than the Models with adherence as the only latent concept. Although the SEM technique could not rule out that other Models might also fit the data equally well, the Hypothesized Model, where readiness and adherence were two separate latent concepts, fitted data the best. This supports readiness as a distinct factor that influences adherence and hence treatment outcome. Increased attention should therefore be attached to interventions that focus on the individual' readiness for behavioural change, i.e. factors amendable to change and that can be addressed by the patients themselves. Based on these results it seems necessary to shift focus from adherence to readiness, especially in conditions where treatment can be postponed such as antiretroviral treatment.