Response Inconsistency of Patient-Reported Symptoms as a Predictor of Discrepancy Between Patient and Clinician-Reported Depression Severity

Conijn, Judith M.; Emons, Wilco H. M.; Page, Bethan; Sijtsma, Klaas; Does, Willem van der; Carlier, Ingrid V. E.; Giltay, Erik J.

doi:10.1177/1073191116666949

Cited by 10 publications

(5 citation statements)

References 57 publications

(108 reference statements)

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“…In these studies, the estimated prevalence of aberrant responding ranged from 6.0% (LePagea et al, 2001) to 12.6% (Conijn et al, 2015) but cannot be directly compared due to the different detection methods used. A consistent finding is that patients with more severe psychopathology symptoms were more likely to respond aberrantly, both in nonclinical samples (e.g., Reise & Waller, 1993;Woods, Oltmanns, & Turkheimer, 2008) and clinical samples (Conijn, Emons, et al, 2018;Conijn et al, 2015;Keeley et al, 2016;Wardenaar et al, 2015). In our study, we aimed to complement previous research by addressing two limitations of previous research that are evident within the satisficing framework.…”

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confidence: 89%

Satisficing in Mental Health Care Patients: The Effect of Cognitive Symptoms on Self-Report Data Quality

2017

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Respondents may use satisficing (i.e., nonoptimal) strategies when responding to self-report questionnaires. These satisficing strategies become more likely with decreasing motivation and/or cognitive ability (Krosnick, 1991). Considering that cognitive deficits are characteristic of depressive and anxiety disorders, depressed and anxious patients may be prone to satisficing. Using data from the Netherland's Study of Depression and Anxiety ( N = 2,945), we studied the relationship between depression and anxiety, cognitive symptoms, and satisficing strategies on the NEO Five-Factor Inventory. Results showed that respondents with either an anxiety disorder or a comorbid anxiety and depression disorder used satisficing strategies substantially more often than healthy respondents. Cognitive symptom severity partly mediated the effect of anxiety disorder and comorbid anxiety disorder on satisficing. The results suggest that depressed and anxious patients produce relatively low-quality self-report data-partly due to cognitive symptoms. Future research should investigate the degree of satisficing across different mental health care assessment contexts.

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confidence: 89%

Satisficing in Mental Health Care Patients: The Effect of Cognitive Symptoms on Self-Report Data Quality

2017

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“…To start with, they provide additional information about the consistency of the respondent’s answering behavior via the PDD estimate. This information, in turn, can be of use in individual assessment or in exploratory person-fit research (see Conijn et al, 2016). Furthermore, it has been hypothesized that the PDD is related to the relevance and degree of clarity and strength with which the trait is internally organized in the individual (Traitedness; for example, Markus, 1977; Reise & Waller, 1993; Taylor, 1977; Tellegen, 1988).…”

Section: Fitting the Dual Thurstonian Models (Dtms)mentioning

confidence: 99%

A Comprehensive IRT Approach for Modeling Binary, Graded, and Continuous Responses With Error in Persons and Items

Ferrando

2018

Applied Psychological Measurement

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Dual item response theory (IRT) models in which items and individuals have different amounts of measurement error have been proposed in the literature. Any developments in these models, however, are feasible only for continuous responses. This article discusses a comprehensive dual modeling approach, based on underlying latent response variables, from which specific models for continuous, graded, and binary responses are obtained. Procedures for (a) calibrating the items, (b) scoring individuals, (c) assessing model appropriateness, and (d) assessing measurement precision are discussed for all the resulting models. Simulation results suggest that the proposal is quite feasible. A practical illustration is given with an empirical example in the personality domain.

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“…Approximately one-third of patients have been found to have inconsistent scores ( 42 , 43 ). This situation may be related to the inconsistent items of the scale, clinician assessment bias ( 44 ), education level ( 45 ), gender ( 45 ), and high neuroticism ( 46 ).…”

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The Patient Health Questionnaire-9 vs. the Hamilton Rating Scale for Depression in Assessing Major Depressive Disorder

Yang

et al. 2021

Front. Psychiatry

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Background: The Hamilton Rating Scale for Depression (HAMD-17) has been used for several decades to assess the severity of depression. Multiple studies have documented defects in this scale and deemed it unsuitable for clinical evaluation. The HAMD-6, which is the abbreviated version of HAMD-17, has been shown to be effective in assessing the core symptoms of depression with greater sensitivity than HAMD-17. And the Patient Health Questionnaire-9 (PHQ-9) is suggested as an effective alternative to the HAMD-17 because of its simplicity and ease-of-use.Methods: Research was completed involving 1,741 participants having major depressive disorder. Cronbach's alpha, intraclass correlation coefficient (ICC) and weighted Kappa analysis was used to determine the reliability of the scales. Pearson correlation analysis and factor analysis were used to analyze validity. Item response theory (IRT) was used to analyze psychological characteristics of items in both the HAMD-17 and PHQ-9.Results: Reliability analysis showed that the Cronbach's alpha of the HAMD-17, HAMD-6 and PHQ-9 were 0.829, 0.764, and 0.893 respectively, and the ICC of the three scales ranged from 0.606 to 0.744. The Kappa score of the consistency of depression severity assessment was 0.248. Validity analysis showed that the PHQ-9 was a single factor structure, and the total score of the scale was strongly correlated with the HAMD-17 (r = 0.724, P < 0.001). The IRT analysis showed that the discrimination parameters of the PHQ-9 were higher than that of the HAMD-17 in all dimensions. The HAMD-6 had the lowest measurement accuracy in distinguishing the severity of depression, while the PHQ-9 had the highest measurement accuracy.Conclusion: Results showed that the PHQ-9 was satisfactory in terms of reliability, validity and distinguishing the severity of depression. It is a simple, rapid, effective and reliable tool which can be used as an alternative to the HAMD-17 to assess the severity of depression.

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Response Inconsistency of Patient-Reported Symptoms as a Predictor of Discrepancy Between Patient and Clinician-Reported Depression Severity

Cited by 10 publications

References 57 publications

Satisficing in Mental Health Care Patients: The Effect of Cognitive Symptoms on Self-Report Data Quality

Satisficing in Mental Health Care Patients: The Effect of Cognitive Symptoms on Self-Report Data Quality

A Comprehensive IRT Approach for Modeling Binary, Graded, and Continuous Responses With Error in Persons and Items

The Patient Health Questionnaire-9 vs. the Hamilton Rating Scale for Depression in Assessing Major Depressive Disorder

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