Evidence map›Paper›PMID 25894707›Full record

ArticlePsychological assessment2015

A latent transition analysis for the assessment of structured diagnostic interviews.

Pamela Scorza, Katherine E Masyn, Joshua A Salomon, Theresa S Betancourt

Open access · greenAbstract read
In one paragraph

Article in Psychological assessment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 19% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

4 authors at 1 institution in 1 country.

Pamela ScorzaDepartment of Global Health and Population, Harvard School of Public Health.
Katherine E MasynHarvard Graduate School of Education.
Joshua A SalomonDepartment of Global Health and Population, Harvard School of Public Health.
Theresa S BetancourtDepartment of Global Health and Population, Harvard School of Public Health.
Harvard Global Health Institute · US

Funding

Global Mental Health Research Fellowship: Interventions That Make a DifferenceT32MH096724 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MILTON L WAINBERG · 2012 to 2026
$4.4M
NIMH NIH HHS T32 MH096724
6 · The paper itself

Abstract

Structured diagnostic interviews administered by lay people are commonly used to assess psychiatric disorders, including depression, in large epidemiologic studies. Many interviews utilize "gate" questions, such as screening questions, that allow interviewers to skip entire survey sections for a particular respondent, saving time and reducing respondent fatigue. However, most depression estimates based on these response data are predicated on the assumption that the gate questions function without measurement error or bias. The tenability of this assumption is questionable, and its violation could compromise the reliability and validity of those estimates of depression. In this study, we used a novel application of latent transition analysis to cross-sectional data, accounting for measurement error in different response pathways through the depression module in the World Mental Health Composite International Diagnostic Interview. The analysis included data from 19,734 participants ≥18 years of age in the Comprehensive Psychiatric Epidemiologic Surveys. The latent transition analysis, allowing for measurement error in screening questions and exclusion criteria, produced a higher estimate of the lifetime probability of experiencing depression than did the algorithm based on the Diagnostic and Statistical Manual for Mental Disorders, 4th Edition, Text Revision. This illustration of latent transition analysis applied to item-level data from a complex structured diagnostic tool with gate questions demonstrates the potential utility of an analytic approach that does not automatically assume gate questions function without measurement error. This model could also be used to probe for evidence of measurement bias in the form of differential item function when using structured diagnostic tools in different cultures and languages.

Indexed as

AlgorithmsInterview, PsychologicalAdultBiasCross-Sectional StudiesDepressionDiagnostic and Statistical Manual of Mental DisordersEpidemiologic StudiesFemaleHumansMajor Depressive DisorderMaleMass ScreeningMiddle AgedReproducibility of Results

Identifiers

PMID25894707
PMCPMC5729585
OpenAlexW2321782084

What OpenQuestion holds

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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.