Literature DB >> 33929639

Illustrating the Applicability of IRT to Implementation Science: Examining an Instrument of Therapist Attitudes.

Zabin S Patel1, Amanda Jensen-Doss2, Cengiz Zopluoglu3.   

Abstract

Pragmatic instruments with psychometric support are important to advance dissemination and implementation (D&I) research, but few well-researched D&I instruments exist. Item response theory (IRT), an approach that is underutilized in D&I, can help with the development of actionable and brief instruments. This paper provides an overview of IRT for D&I researchers and examines an instrument of therapist attitudes using IRT measurement models. Eight items of the Attitudes Towards Individualized Assessment-Monitoring and Feedback (AIA-MF) Clinical Utility scale were fit to the Graded Response Model in a national sample of master's level therapists. Various IRT model characteristics including item threshold and discrimination parameters, information, and item and person fit were examined. Discrimination and thresholds parameters showed significant variability across the eight items. Item information curves also showed that each item contributed variably to the total test information, suggesting that items 4 and 5 reliably measure therapist attitudes across the latent continuum and items 3 and 6 warrant further investigation. Results suggest that IRT models can help D&I researchers examine existing instruments with greater specificity than traditional measurement methods, thus increasing measurement precision while lowering response burden, both important considerations for the field.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Dissemination and implementation; Individualized measures; Item response theory; Measurement-based care; Pragmatic instruments; Therapist attitudes

Mesh:

Year:  2021        PMID: 33929639     DOI: 10.1007/s10488-021-01139-1

Source DB:  PubMed          Journal:  Adm Policy Ment Health        ISSN: 0894-587X


  17 in total

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Authors:  Russell E Glasgow; Cynthia Vinson; David Chambers; Muin J Khoury; Robert M Kaplan; Christine Hunter
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3.  Pragmatic measures: what they are and why we need them.

Authors:  Russell E Glasgow; William T Riley
Journal:  Am J Prev Med       Date:  2013-08       Impact factor: 5.043

4.  Monitoring Treatment Progress and Providing Feedback is Viewed Favorably but Rarely Used in Practice.

Authors:  Amanda Jensen-Doss; Emily M Becker Haimes; Ashley M Smith; Aaron R Lyon; Cara C Lewis; Cameo F Stanick; Kristin M Hawley
Journal:  Adm Policy Ment Health       Date:  2018-01

Review 5.  Implementing Measurement-Based Care in Behavioral Health: A Review.

Authors:  Cara C Lewis; Meredith Boyd; Ajeng Puspitasari; Elena Navarro; Jacqueline Howard; Hannah Kassab; Mira Hoffman; Kelli Scott; Aaron Lyon; Susan Douglas; Greg Simon; Kurt Kroenke
Journal:  JAMA Psychiatry       Date:  2019-03-01       Impact factor: 21.596

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Authors:  J D Cone
Journal:  Behav Res Ther       Date:  1997-03

Review 7.  A Tipping Point for Measurement-Based Care.

Authors:  John C Fortney; Jürgen Unützer; Glenda Wrenn; Jeffrey M Pyne; G Richard Smith; Michael Schoenbaum; Henry T Harbin
Journal:  Psychiatr Serv       Date:  2016-09-01       Impact factor: 3.084

8.  Individualized Progress Measures Are More Acceptable to Clinicians Than Standardized Measures: Results of a National Survey.

Authors:  Amanda Jensen-Doss; Ashley M Smith; Emily M Becker-Haimes; Vanesa Mora Ringle; Lucia M Walsh; Monica Nanda; Samantha L Walsh; Colleen A Maxwell; Aaron R Lyon
Journal:  Adm Policy Ment Health       Date:  2018-05

9.  A measurement feedback system (MFS) is necessary to improve mental health outcomes.

Authors:  Leonard Bickman
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2009-08-21       Impact factor: 8.829

10.  Do self- reported intentions predict clinicians' behaviour: a systematic review.

Authors:  Martin P Eccles; Susan Hrisos; Jill Francis; Eileen F Kaner; Heather O Dickinson; Fiona Beyer; Marie Johnston
Journal:  Implement Sci       Date:  2006-11-21       Impact factor: 7.327

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  1 in total

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Journal:  J Med Internet Res       Date:  2022-07-27       Impact factor: 7.076

  1 in total

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