Evidence map›Paper›PMID 35132724›Full record

ArticleInternational journal of methods in psychiatric research2022

Adapting the multilevel model for estimation of the reliable change index (RCI) with multiple timepoints and multiple sources of error.

Antonio Alexander Morgan-Lopez, Lissette Maria Saavedra, Derek D Ramirez, Luke M Smith, Anna Catherine Yaros

Abstract read
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Article in International journal of methods in psychiatric research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

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10citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Antonio Alexander Morgan-LopezBehavioral Health Research Division, RTI International, Research Triangle Park, North Carolina, USA.ORCID 0000-0003-4706-9964
Lissette Maria SaavedraBehavioral Health Research Division, RTI International, Research Triangle Park, North Carolina, USA.
Derek D RamirezBehavioral Health Research Division, RTI International, Research Triangle Park, North Carolina, USA.
Luke M SmithEL Futuro, Durham, North Carolina, USA.
Anna Catherine YarosBehavioral Health Research Division, RTI International, Research Triangle Park, North Carolina, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOne of the primary tools in the assessment of individual-level patient outcomes is Jacobson and Truax, (1991's) Reliable Change Index (RCI). Recent efforts to optimize the RCI have revolved around three issues: (a) extending the RCI beyond two timepoints, (b) estimating the RCI using scale scores from item response theory or factor analysis and (c) estimation of person- and time-specific standard errors of measurement.

methodWe present an adaptation of a two-stage procedure, a measurement error-corrected multilevel model, as a tool for RCI estimation (with accompanying Statistical Analysis System syntax). Using DASS-21 data from a community-based mental health center (N = 379), we illustrate the potential for the model as unifying framework for simultaneously addressing all three limitations in modeling individual-level RCI estimates.

resultsCompared to the optimal-fitting RCI model (moderated nonlinear factor analysis scoring with measurement error correction), an RCI model that uses DASS-21 total scores produced errors in RCI inferences in 50.8% of patients; this was largely driven by overestimation of the proportion of patients with statistically significant improvement.

conclusionEstimation of the RCI can now be enhanced by the use of latent variables, person- and time-specific measurement errors, and multiple timepoints.

Indexed as

IndividualityFactor Analysis, StatisticalHumansMultilevel Analysismodellingpsychometricsstatistics

Identifiers

PMID35132724
PMCPMC9159694

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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.