Article Dans Une Revue Quality of Life Research Année : 2018

A Systematic Review of the Quality of Reporting of Simulation Studies about Methods for the Analysis of Complex Longitudinal Patient-Reported Outcomes Data

Aynslie M. Hinds
  • Fonction : Auteur
Tolulope T. Sajobi
  • Fonction : Auteur
Richard Sawatzky
  • Fonction : Auteur
Lisa M. Lix
  • Fonction : Auteur

Résumé

PURPOSE: This study describes the characteristics and quality of reporting for published computer simulation studies about statistical methods to analyze complex longitudinal (i.e., repeated measures) patient-reported outcomes (PROs); we included methods for longitudinal latent variable measurement and growth models and response shift. METHODS: Scopus, PsycINFO, PubMed, EMBASE, and Social Science Citation Index were searched for English-language studies published between 1999 and 2016 using selected keywords. Extracted information included characteristics of the study purpose/objectives, simulation design, software, execution, performance, and results. The quality of reporting was evaluated using published best-practice guidelines. SYNTHESIS: A total of 1470 articles were reviewed and 42 articles met the inclusion criteria. The majority of the included studies (73.8%) investigated an existing statistical method, primarily a latent variable model (95.2%). Most studies specified the population model, including variable distributions, mean parameters, and correlation/covariances. The number of time points and sample size(s) were reported by all studies, but justification for the selected values was rarely provided. The majority of the studies (52.4%) did not report on model non-convergence. Bias, accuracy, and model fit were commonly reported performance metrics. All studies reported results descriptively, and 26.2% also used an inferential method. CONCLUSIONS: While methodological research on statistical analyses of complex longitudinal PRO data is informed by computer simulation studies, current reporting practices of these studies have not been consistent with best-practice guidelines. Comprehensive reporting of simulation methods and results ensures that the strengths and limitations of the investigated statistical methods are thoroughly explored.

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Dates et versions

hal-03158616 , version 1 (04-03-2021)

Identifiants

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Aynslie M. Hinds, Tolulope T. Sajobi, Véronique Sébille, Richard Sawatzky, Lisa M. Lix. A Systematic Review of the Quality of Reporting of Simulation Studies about Methods for the Analysis of Complex Longitudinal Patient-Reported Outcomes Data. Quality of Life Research, 2018, 27 (10), pp.2507-2516. ⟨10.1007/s11136-018-1861-0⟩. ⟨hal-03158616⟩
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