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dc.contributor.authorCooper, Helen*
dc.contributor.authorSpencer, Joy*
dc.contributor.authorLancaster, Gillian A.*
dc.contributor.authorTitman, Andrew*
dc.contributor.authorJohnson, Mark*
dc.contributor.authorWheeler, Sarah*
dc.contributor.authorLwin, Rebekah*
dc.date.accessioned2014-11-18T15:19:36Z
dc.date.available2014-11-18T15:19:36Z
dc.date.issued2013-09-03
dc.identifier.citationJournal of Advanced Nursing, 2014, 70(2), pp. 454–468
dc.identifier.issn1365-2648
dc.identifier.doi10.1111/jan.12235
dc.identifier.urihttp://hdl.handle.net/10034/335775
dc.descriptionThis article is not available through ChesterRep.
dc.description.abstractAim: To report on the development and psychometric testing of the Adolescent Diabetes Needs Assessment Tool. Background: The UK has the fifth largest paediatric diabetes population in the world, but one of the poorest levels of diabetes control, highlighting the need for intervention development. Design: Mixed methods following recommendations for questionnaire design and validation. Methods: A total of 171 young people (12–18 years) participated between 2008– 2011. Methods included item selection using secondary framework analysis, item review, pre-testing, piloting and online transfer. Statistical tests assessed reliability using item-total correlations, interitem consistency and test–retest reliability; and validity using blood glucose (HbA1c) levels and the Self-Management of type 1 Diabetes in Adolescence questionnaire. Results: The Adolescent Diabetes Needs Assessment Tool consists of 117 questions divided between six domains of educational and psychosocial support needs. It combines reflective questioning with needs assessment to raise self-awareness to support adolescent decision-making in relation to diabetes self-care. Thirty-six of the questions provide self-care and psychosocial health assessment scores. Face and content validity of the scoring items were all positively evaluated in terms of appropriateness and readability and tests for validity found significant correlations with Self-Management of type 1 Diabetes in Adolescence and weak correlation with HbA1c, which compared favourably with Self-Management of type 1 Diabetes in Adolescence, the only comparable (USA) tool. Item response analysis validated the use of simple additive scores. Conclusions: The Adolescent Diabetes Needs Assessment Tool combines reflective learning with needs assessment to support patient-centred clinical consultations.
dc.language.isoenen
dc.publisherWileyen
dc.relation.urlhttp://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-2648en
dc.subjectinstrument developmenten
dc.subjectneeds assessmenten
dc.subjectnursingen
dc.subjecttailored educationen
dc.subjecttype 1 diabetesen
dc.subjectpaediatricsen
dc.titleDevelopment and psychometric testing of the online Adolescent Diabetes Needs Assessment Tool (ADNAT)en
dc.typeArticleen
dc.contributor.departmentUniversity of Chester ; University of Chester ; Lancaster University ; Lancaster University ; Bolton University ; University of Chester ; University of Chester
dc.identifier.journalJournal of Advanced Nursing
html.description.abstractAim: To report on the development and psychometric testing of the Adolescent Diabetes Needs Assessment Tool. Background: The UK has the fifth largest paediatric diabetes population in the world, but one of the poorest levels of diabetes control, highlighting the need for intervention development. Design: Mixed methods following recommendations for questionnaire design and validation. Methods: A total of 171 young people (12–18 years) participated between 2008– 2011. Methods included item selection using secondary framework analysis, item review, pre-testing, piloting and online transfer. Statistical tests assessed reliability using item-total correlations, interitem consistency and test–retest reliability; and validity using blood glucose (HbA1c) levels and the Self-Management of type 1 Diabetes in Adolescence questionnaire. Results: The Adolescent Diabetes Needs Assessment Tool consists of 117 questions divided between six domains of educational and psychosocial support needs. It combines reflective questioning with needs assessment to raise self-awareness to support adolescent decision-making in relation to diabetes self-care. Thirty-six of the questions provide self-care and psychosocial health assessment scores. Face and content validity of the scoring items were all positively evaluated in terms of appropriateness and readability and tests for validity found significant correlations with Self-Management of type 1 Diabetes in Adolescence and weak correlation with HbA1c, which compared favourably with Self-Management of type 1 Diabetes in Adolescence, the only comparable (USA) tool. Item response analysis validated the use of simple additive scores. Conclusions: The Adolescent Diabetes Needs Assessment Tool combines reflective learning with needs assessment to support patient-centred clinical consultations.


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