Evidence map›Paper›PMID 33929639›Full record

ReviewAdministration and policy in mental health2021

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

Zabin S Patel, Amanda Jensen-Doss, Cengiz Zopluoglu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Administration and policy in mental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Zabin S PatelDepartment of Psychology, University of Miami, Coral Gables, FL, 33124, USA. zsp8@miami.edu.ORCID 0000-0002-0250-0848
Amanda Jensen-DossDepartment of Psychology, University of Miami, Coral Gables, FL, 33124, USA.
Cengiz ZopluogluDepartment of Educational Methodology, Policy, and Leadership, University of Oregon, Eugene, OR, 97403, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Attitude of Health PersonnelImplementation ScienceHumansPsychometricsSurveys and QuestionnairesDissemination and implementationIndividualized measuresItem response theoryMeasurement-based carePragmatic instrumentsTherapist attitudes

Identifiers

PMID33929639

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.