Getting ready for transition to adult care: Tool validation and multi‐informant strategy using the Transition Readiness Assessment Questionnaire in pediatrics.
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| Title: | Getting ready for transition to adult care: Tool validation and multi‐informant strategy using the Transition Readiness Assessment Questionnaire in pediatrics. |
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| Authors: | Chapados, Pascale, Aramideh, Jennifer, Lamore, Kristopher, Dumont, Émilie, Lugasi, Tziona, Clermont, Marie‐José, Laberge, Sophie, Scott, Rachel, Laverdière, Caroline, Sultan, Serge |
| Source: | Child: Care, Health & Development. Sep2021, Vol. 47 Issue 5, p645-653. 9p. 1 Diagram, 3 Charts. |
| Subjects: | Caregiver attitudes, Research evaluation, Research methodology evaluation, Research methodology, Age distribution, Regression analysis, Psychometrics, Patients' attitudes, Hospital admission & discharge, Continuum of care, T-test (Statistics), Sex distribution, Questionnaires, Factor analysis, Intraclass correlation, Descriptive statistics, Adults, Adolescence |
| Geographic Terms: | Canada |
| Abstract: | Background: Transitioning from pediatric to adult healthcare can be challenging and lead to severe consequences if done suboptimally. The Transition Readiness Assessment Questionnaire (TRAQ) was developed to assess adolescent and young adult (AYA) patients' transition readiness. In this study, we aimed to (1) document the psychometric properties of the French‐language version of the TRAQ (TRAQ‐FR), (2) assess agreements and discrepancies between AYA patients' and their primary caregivers' TRAQ‐FR scores, and (3) identify transition readiness contributors. Methods: French‐speaking AYA patients (n = 175) and primary caregivers (n = 168) were recruited from five clinics in a tertiary Canadian hospital and asked to complete the TRAQ‐FR, the Pediatric Quality of Life Inventory™ 4.0 (PedsQL™ 4.0), and a sociodemographic questionnaire. The validity of the TRAQ‐FR was assessed using confirmatory factor analyses (CFA). Agreements and discrepancies were evaluated using intraclass correlation coefficients and paired‐sample t tests. Contributors of transition readiness were identified using regression analyses. Results: The five‐factor model of the TRAQ was supported, with the TRAQ‐FR global scale showing good internal consistency for both AYA patients' and primary caregivers' scores (α =.85–.87). AYA patients and primary caregivers showed good absolute agreement on the TRAQ‐FR global scale with AYA patients scoring higher than primary caregivers (ICC =.80; d =.25). AYA patients' age and sex were found to be contributors of transition readiness. Conclusions: The TRAQ‐FR was found to have good psychometric properties when completed by both AYA patients and primary caregivers. Additional research is needed to explore the predictive validity and clinical use of the TRAQ‐FR. [ABSTRACT FROM AUTHOR] |
| Copyright of Child: Care, Health & Development is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 151739663 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Getting ready for transition to adult care: Tool validation and multi‐informant strategy using the Transition Readiness Assessment Questionnaire in pediatrics. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chapados%2C+Pascale%22">Chapados, Pascale</searchLink><br /><searchLink fieldCode="AR" term="%22Aramideh%2C+Jennifer%22">Aramideh, Jennifer</searchLink><br /><searchLink fieldCode="AR" term="%22Lamore%2C+Kristopher%22">Lamore, Kristopher</searchLink><br /><searchLink fieldCode="AR" term="%22Dumont%2C+Émilie%22">Dumont, Émilie</searchLink><br /><searchLink fieldCode="AR" term="%22Lugasi%2C+Tziona%22">Lugasi, Tziona</searchLink><br /><searchLink fieldCode="AR" term="%22Clermont%2C+Marie‐José%22">Clermont, Marie‐José</searchLink><br /><searchLink fieldCode="AR" term="%22Laberge%2C+Sophie%22">Laberge, Sophie</searchLink><br /><searchLink fieldCode="AR" term="%22Scott%2C+Rachel%22">Scott, Rachel</searchLink><br /><searchLink fieldCode="AR" term="%22Laverdière%2C+Caroline%22">Laverdière, Caroline</searchLink><br /><searchLink fieldCode="AR" term="%22Sultan%2C+Serge%22">Sultan, Serge</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Child%3A+Care%2C+Health+%26+Development%22">Child: Care, Health & Development</searchLink>. Sep2021, Vol. 47 Issue 5, p645-653. 9p. 1 Diagram, 3 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Caregiver+attitudes%22">Caregiver attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Research+evaluation%22">Research evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology+evaluation%22">Research methodology evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Age+distribution%22">Age distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Patients'+attitudes%22">Patients' attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Hospital+admission+%26+discharge%22">Hospital admission & discharge</searchLink><br /><searchLink fieldCode="DE" term="%22Continuum+of+care%22">Continuum of care</searchLink><br /><searchLink fieldCode="DE" term="%22T-test+%28Statistics%29%22">T-test (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+distribution%22">Sex distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Factor+analysis%22">Factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Intraclass+correlation%22">Intraclass correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Adults%22">Adults</searchLink><br /><searchLink fieldCode="DE" term="%22Adolescence%22">Adolescence</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Canada%22">Canada</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: Transitioning from pediatric to adult healthcare can be challenging and lead to severe consequences if done suboptimally. The Transition Readiness Assessment Questionnaire (TRAQ) was developed to assess adolescent and young adult (AYA) patients' transition readiness. In this study, we aimed to (1) document the psychometric properties of the French‐language version of the TRAQ (TRAQ‐FR), (2) assess agreements and discrepancies between AYA patients' and their primary caregivers' TRAQ‐FR scores, and (3) identify transition readiness contributors. Methods: French‐speaking AYA patients (n = 175) and primary caregivers (n = 168) were recruited from five clinics in a tertiary Canadian hospital and asked to complete the TRAQ‐FR, the Pediatric Quality of Life Inventory™ 4.0 (PedsQL™ 4.0), and a sociodemographic questionnaire. The validity of the TRAQ‐FR was assessed using confirmatory factor analyses (CFA). Agreements and discrepancies were evaluated using intraclass correlation coefficients and paired‐sample t tests. Contributors of transition readiness were identified using regression analyses. Results: The five‐factor model of the TRAQ was supported, with the TRAQ‐FR global scale showing good internal consistency for both AYA patients' and primary caregivers' scores (α =.85–.87). AYA patients and primary caregivers showed good absolute agreement on the TRAQ‐FR global scale with AYA patients scoring higher than primary caregivers (ICC =.80; d =.25). AYA patients' age and sex were found to be contributors of transition readiness. Conclusions: The TRAQ‐FR was found to have good psychometric properties when completed by both AYA patients and primary caregivers. Additional research is needed to explore the predictive validity and clinical use of the TRAQ‐FR. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Child: Care, Health & Development is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/cch.12872 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 645 Subjects: – SubjectFull: Caregiver attitudes Type: general – SubjectFull: Research evaluation Type: general – SubjectFull: Research methodology evaluation Type: general – SubjectFull: Research methodology Type: general – SubjectFull: Age distribution Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Psychometrics Type: general – SubjectFull: Patients' attitudes Type: general – SubjectFull: Hospital admission & discharge Type: general – SubjectFull: Continuum of care Type: general – SubjectFull: T-test (Statistics) Type: general – SubjectFull: Sex distribution Type: general – SubjectFull: Questionnaires Type: general – SubjectFull: Factor analysis Type: general – SubjectFull: Intraclass correlation Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Adults Type: general – SubjectFull: Adolescence Type: general – SubjectFull: Canada Type: general Titles: – TitleFull: Getting ready for transition to adult care: Tool validation and multi‐informant strategy using the Transition Readiness Assessment Questionnaire in pediatrics. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chapados, Pascale – PersonEntity: Name: NameFull: Aramideh, Jennifer – PersonEntity: Name: NameFull: Lamore, Kristopher – PersonEntity: Name: NameFull: Dumont, Émilie – PersonEntity: Name: NameFull: Lugasi, Tziona – PersonEntity: Name: NameFull: Clermont, Marie‐José – PersonEntity: Name: NameFull: Laberge, Sophie – PersonEntity: Name: NameFull: Scott, Rachel – PersonEntity: Name: NameFull: Laverdière, Caroline – PersonEntity: Name: NameFull: Sultan, Serge IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 03051862 Numbering: – Type: volume Value: 47 – Type: issue Value: 5 Titles: – TitleFull: Child: Care, Health & Development Type: main |
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