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Prevalence of Symptom Overreporting in the Structured Inventory of Malingered Symptomatology (SIMS) in Clinical
Esteban Puente-López1, David Pina2, Brechje Dandachi-FitzGerald3
1Universidad de Valladolid (Spain).
Background:
Failure on symptom validity tests may occur in a variety of contexts and situations, including routine clinical settings. To date, no meta-analysis has targeted the failure rate of the Structured Inventory of Malingered Symptomatology (SIMS) in clinical assessments, nor the factors that may moderate this rate.
Method:
We used a binomial-normal random-effects meta-analysis to estimate the pooled failure rate of SIMS among patients with a clinical diagnosis who were evaluated in a non-forensic setting.
Results:
34 studies and 40 samples were included. The total sample size was 8844 patients. The mean total SIMS score was 15.9 (SD = 5.2). The estimated overall failure rate of SIMS was 36% (95% CI: 30%-43%; I = 96.6%, p < .001).
Conclusions:
There is an elevated failure rate on the SIMS in clinical patient populations; however, these positive results are not necessarily false positives. The methodological challenge to tell true and false positives apart appears to be of primary importance and should dictate both careful planning of future studies and circumspection when interpreting rates of validity test failure in clinical assessments.
Insights
The Structured Inventory of Malingered Symptomatology (SIMS) shows a high failure rate in clinical settings. Further research is needed to distinguish true from false positives in these validity test results.
Area of Science:
- Psychological assessment
- Clinical psychology
- Neuropsychology
Background:
- Symptom validity tests are crucial in clinical assessments.
- Failure on these tests can occur in various clinical contexts.
- No prior meta-analysis has quantified the SIMS failure rate in clinical settings.
Purpose of the Study:
- To determine the pooled failure rate of the Structured Inventory of Malingered Symptomatology (SIMS) in clinical assessments.
- To investigate potential factors moderating SIMS failure rates.
Main Methods:
- A binomial-normal random-effects meta-analysis was employed.
- Included 34 studies and 40 samples, totaling 8844 patients.
- Focused on non-forensic clinical evaluations.
Main Results:
- The overall estimated failure rate for SIMS was 36% (95% CI: 30%-43%).
- High heterogeneity was observed (I² = 96.6%, p < .001).
- The mean total SIMS score was 15.9 (SD = 5.2).
Conclusions:
- Clinical patient populations exhibit an elevated failure rate on the SIMS.
- Distinguishing true from false positives remains a significant methodological challenge.
- Future studies require careful planning, and interpretation of validity test failure rates necessitates caution.
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