Literature DB >> 25305063

Differential reporting of depressive symptoms across distinct clinical subpopulations: what DIFference does it make?

Rob B K Wanders1, Klaas J Wardenaar2, Ronald C Kessler3, Brenda W J H Penninx4, Rob R Meijer5, Peter de Jonge2.   

Abstract

OBJECTIVE: To investigate the impact of differences in depressive symptom reporting across clinical groups (healthcare setting, chronic illness, depression diagnosis and anxiety diagnosis) on clinical interpretability and comparability of depression scores.
METHODS: Participants from the Netherlands Study of Depression and Anxiety (n=2981) completed the self-report Inventory of Depressive Symptomatology (IDS-SR). Differences in depressive symptom reporting between distinct clinical subpopulations were assessed using a Differential Item Functioning (DIF) analysis. The effects of DIF on symptom level were evaluated by examining whether DIF-adjustment had clinically relevant effects.
RESULTS: Significant DIF was detected across all tested clinical subpopulation groupings. Clinically relevant DIF was found on the symptom level for 13 IDS-SR items. However, impact of DIF on the aggregate level ranged from small to negligible: adjustment for DIF only led to salient changes in aggregate scores for 0.2-12.7% of individuals across tested sources of DIF.
CONCLUSION: Differences in endorsement patterns of depressive symptoms were observed across clinical populations, challenging the assumptions regarding the measurement properties of self-reported depression. However, effects of DIF on the aggregate level of IDS-SR total scores were found to be minimal and not clinically important. The IDS-SR thus seems robust against DIF across clinical populations.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Depression; Differential item functioning; IDS-SR; Item response theory; Measurement

Mesh:

Year:  2014        PMID: 25305063     DOI: 10.1016/j.jpsychores.2014.08.014

Source DB:  PubMed          Journal:  J Psychosom Res        ISSN: 0022-3999            Impact factor:   3.006


  3 in total

1.  What does the beck depression inventory measure in myocardial infarction patients? a psychometric approach using item response theory and person-fit.

Authors:  Klaas J Wardenaar; Rob B K Wanders; Annelieke M Roest; Rob R Meijer; Peter De Jonge
Journal:  Int J Methods Psychiatr Res       Date:  2015-05-21       Impact factor: 4.035

2.  Do measures of depressive symptoms function differently in people with spinal cord injury versus primary care patients: the CES-D, PHQ-9, and PROMIS®-D.

Authors:  Karon F Cook; Michael A Kallen; Charles Bombardier; Alyssa M Bamer; Seung W Choi; Jiseon Kim; Rana Salem; Dagmar Amtmann
Journal:  Qual Life Res       Date:  2016-07-14       Impact factor: 4.147

3.  Evidence for Specific Associations Between Depressive Symptoms, Psychotic Experiences, and Suicidal Ideation in Chilean Adolescents From the General Population.

Authors:  Daniel Núñez; Pía Monjes; Susana Campos; Johanna T W Wigman
Journal:  Front Psychiatry       Date:  2021-01-28       Impact factor: 4.157

  3 in total

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