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| Structured Inventory of Malingered Symptomatology | |
|---|---|
| Purpose | screen for possible malingering |
The Structured Inventory of Malingered Symptomatology (SIMS) is a 75-item true-false questionnaire intended to measure malingering; that is, intentionally exaggerating or feigning psychiatric symptoms, cognitive impairment, or neurological disorders.
Psychometric Characteristics
Low Specificity
If psychologists rely on the SIMS Manual's recommended cut score of 14, the SIMS has substandard specificity. For instance, SIMS specificity calculated by Richard Rogers et al. for a total SIMS cutoff score of over 14 was 0.28:
With this inpatient sample, the recommended SIMS total cut score of >14 functioned poorly, because most genuine responders also exceeded this cut score (i.e., specificity = .28). Even at a 25% base rate, more than two thirds (positive predictive power, PPP = .70) of those identified will be genuine responders. At least for these inpatients, a much higher SIMS total cut score (> 44) is required to achieve a very high specificity.
Low specificity hinders the test's ability to accurately distinguish legitimate patients from malingerers. Stating that an individual is malingering can cause iatrogenic harm to patients if they are actually not exaggerating or feigning. Such iatrogenic harm may consist in delaying or denying medical attention, therapies, or insurance benefits. In the U.S. military, malingering is a court-martial offense under the Uniform Code of Military Justice.
Investigations of the Validity of SIMS Item Content
Page 15 of the SIMS manual informs the readers in an unsubstantiated manner that the SIMS items are descriptive of “atypical, improbable, inconsistent, or illogical symptoms” that would be “highly atypical in patients with genuine psychiatric or cognitive disorders …”. In fact, content analyses via ratings by teams of doctoral level clinicians with more than 35 years of experience each in clinical psychology or psychiatry indicated that the SIMS scales contain no items with the reasonable capacity to differentiate legitimate patients from malingerers.
The SIMS has been widely used by psychologists contracted by car insurance companies to evaluate insurance claims of persons injured in motor vehicle accidents (MVAs). More than 50% of SIMS items conceptually overlap with those of the Rivermead Post-Concussion Symptoms scale or of those from the Post-MVA Neurological Symptoms scale, i.e., with post-concussive and whiplash symptoms legitimately reported by post-MVA patients(and also by some injured war veterans or by some persons injured in industrial accidents: the more of their medical or psychological symptoms these patients honestly report, the more likely are they falsely classified as malingerers.
Archival data suggested that more than 70% of legitimate claims such as those for payments for therapies are thus falsely rejected or unduly delayed (see Gutierrez et al., page 16) with iatrogenic consequences for the patients.
Meta-analytic investigation of criterion validity of the SIMS and its scales
A recent meta-analytic study showed that the lowest SIMS scores are obtained in a group of normal volunteers, somewhat higher SIMS scores are obtained from persons with mild symptoms from car accidents, and the highest SIMS scores are those from patients injured more severely in high impact car accidents and also by malingerers. In the analysis of variance (ANOVA), there was no statistically significant difference between the more severely injured patients (those with post-concussion and whiplash syndrome and pain related insomnia) and malingerers: these two groups may report similar number of symptoms on the SIMS. Briefly, the SIMS is a pseudo psychological test.
The detection of malingering is usually a difficult task. Psychologists using the SIMS may appear more expert in detecting false insurance compensation claims because they classify more patients as malingerers or as suspected malingerers and are thus, being perceived as more professionally competent, more likely rehired by insurance companies.
The SIMS is usually scored by calculating the total score and also scores on 5 scales with 15 items each: Neurological Impairment (NI), Amnestic Disorder (AM), Psychosis (P), Affective Disorders (AF), and Low Intelligence (LI). Of these 5 scales, the Psychosis (P), Affective Disorders (AF), Neurologic Impairment (NI), and Amnestic Disorder (AM) scales list obviously legitimate medical symptoms that could be endorsed by both patients and malingerers at similar rates. It has been also shown that the Low Intelligence scale (LI) of the SIMS consists mainly of arithmetic and logical reasoning tasks or tasks assessing general knowledge on which patients tired by chronic illness, or those with the post-concussion syndrome, or persons whose attentional focus is disrupted by chronic pain may perform worse than uninjured persons. As a consequence, none of the SIMS scales shows an adequate criterion validity when the data from patients injured severely in high impact car accidents was compared via ANOVA to data from less injured persons, from malingerers, and from uninjured non-malingering normal persons.
Validation procedure used in the development of the SIMS
The test “validation” of the SIMS by Smith and Burger proceeded by comparing healthy undergraduates instructed to respond honestly to responses of healthy undergraduates instructed to feign medical or psychological symptoms. As a logical result, the SIMS indeed differentiates persons reporting certain medical symptoms from those who do not, but it fails differentiating malingerers from legitimate patients. Such pseudo-validation does not meet test standards stipulated by the American Psychological Association (APA). Since the purpose of the SIMS is to differentiate malingerers from legitimate patients, the APA standards require a comparison of these two groups to demonstrate that the SIMS indeed differentiates malingerers from real patients, i.e., that it has an adequate specificity. In fact, SIMS specificity calculated by Richard Rogers et al. for total SIMS score cutoff > 14 points was only .28. These authors mentioned, with respect to SIMS cutoff of > 14 points, that “research (e.g., Clegg et al., 2009) has found that non-feigning clients often exceed this cut score.” Rogers and his research team suggested that the cutoff for SIMS total score might need to be set as high as > 44 points to improve specificity, when dealing with certain diagnostic groups. Statistics provided by Rogers et al. suggested that more than two thirds of honestly responding psychiatric patients would be misclassified as malingerers. Unfortunately, the SIMS has been translated into many other languages, thus exposing thousands of legitimate patients to iatrogenic malpractice.
Rare Symptoms (RS) and Symptom Combination (SC) scales of the SIMS
The RS and SC scales were published by Richard Rogers’s team in 2014 to determine if more accurate SIMS scales could be developed by extracting SIMS items that might differentiate psychiatric patients responding honestly from those instructed to exaggerate their symptoms. Rogers used two strategies. The first was to locate SIMS items listing medical symptoms reported rarely by the honest group but frequently by the exaggerating group: "The rare symptoms (RS) scale was created by identifying SIMS items endorsed by less than 10% of genuine responders but more than 25% of feigners." The SIMS RS scale developed by Rogers contains 15 SIMS items.
The second strategy used by Rogers identified unlikely symptom combinations endorsed by likely feigners but rarely endorsed by genuine patients. The following procedure was used to develop the SIMS symptom combination (SC) scale: "The correlations of all SIMS pairs were first calculated. Pairs of items were selected on two criteria: (a) they were uncorrelated or negatively correlated for genuine responders; and (b) they were positively correlated for feigners and accounted for more than 10% of the variance (φ coefficient > .35)." The SC scale contains 13 pairs of SIMS items.
Content analysis of RS scale suggested irremediable flaws. A third of the RS items are logical or algebraic reasoning tasks on which patients with severe post-concussive symptoms and fatigue from insomnia (such as caused by persistent pain) could perform less well. Patients with cerebral microvascular injuries and axonal shearing from their accident are more likely to score higher on the RS and be misclassified as “malingerers” than less injured persons. Another third of RS scale items lists delusional symptoms or those of thought disorder: psychotic patients are more likely to be branded as “malingerers” and deprived of pharmacotherapy.
The SC scale is based on a precarious assumption that correlations among its symptoms remain the same across varied groups of genuine medical patients, regardless of the type and intensity of their own symptoms. Patients more severely disabled by their symptoms might be less consistent in their responses and thus more often misclassified as “malingerers” by the SC.
Furthermore, Rogers's psychiatric sample on which the RS and SC scales were developed was diagnostically mixed, too heterogeneous, mainly diagnosed with PTSD (>77%) and/or mood disorders (>32%): this makes generalizations of RS and SC cutoffs to other diagnostic groups of psychiatric patients uncertain.
Rogerian methodological approach used in development of such scales could indeed be promising, but only if validated by contrasting responses of malingerers reporting symptoms of a particular medical or psychological condition to those of legitimate patients with that identical particular condition, on large samples, and separately for each medical condition, and preferably with scales derived from non-SIMS items.
References
- Smith, G. P.; Burger, G. K. (1997). "Detection of malingering: Validation of the Structured Inventory of Malingered Symptomatology (SIMS)". Journal of the Academy of Psychiatry and the Law. 25 (2): 183–189. PMID 9213290. Archived from the original on 2020-06-14. Retrieved 2020-04-25.
- van Impelen, Alfons; Merckelbach, Harald; Jelicic, Marko; Merten, Thomas (2014-11-17). "The Structured Inventory of Malingered Symptomatology (SIMS): A Systematic Review and Meta-Analysis". The Clinical Neuropsychologist. 28 (8): 1336–1365. doi:10.1080/13854046.2014.984763. ISSN 1385-4046. PMID 25494444. S2CID 17857261. Archived from the original on 2022-01-21. Retrieved 2020-04-25.
- Rogers, Richard; Robinson, Emily V.; Gillard, Nathan D. (2014). "The SIMS Screen for Feigned Mental Disorders: the Development of Detection-based Scales". Behavioral Sciences & the Law. 32 (4): 455–466. doi:10.1002/bsl.2131. ISSN 1099-0798. PMID 25060144. Archived from the original on 2023-04-12. Retrieved 2020-04-25.
Additional References to the Text
4. Widows MR, and Smith GP. Structured Inventory of Malingered Symptomatology - Professional Manual. Lutz, FL: PAR Inc., 2005.
5. Cernovsky ZZ, Mendonça JD, Ferrari JR, Sidhu G, Velamoor V, Mann SC, Oyewumi LK, Persad E, Campbell R, and Woodbury-Fariña MA. Content Validity of the Affective Disorder Subscale of the SIMS. Archives of Psychiatry and Behavioral Sciences. 2019;2(2):33-39.
6. Cernovsky Z, Bureau Y, Mendonça J, Varadaraj Velamoor V, Mann S, Sidhu G, Diamond DM, Campbell R, Persad E, Oyewumi LK, and Woodbury-Fariña MA. Validity of the SIMS Scales of Neurologic Impairment and Amnestic Disorder Archived 2020-06-14 at the Wayback Machine. International Journal of Psychiatry Sciences. 2019;1(1):13-19.
7. Cernovsky Z, Mendonça JD, Oyewumi LK, Ferrari JR, Sidhu G, and Campbell R. Content Validity of the Psychosis Subscale of the Structured Inventory of Malingered Symptomatology (SIMS). International Journal of Psychology and Cognitive Science. 2019;5(3):121-127.
8. Cernovsky ZZ, Mendonça JD, Ferrari JR, Bureau YRJ. Content validity of SIMS low intelligence scale Archived 2020-06-14 at the Wayback Machine. International Journal of Research in Medical Science. 2019;1(1):21-25.
9. Eyres S, Carey A, Gilworth G, Neumann V, Tennant A. Construct validity and reliability of the Rivermead Post-Concussion Symptoms Questionnaire. Clinical Rehabilitation. 2005; 19:878-87.
10. Cernovsky ZZ, Istasy PVF, Hernández-Aguilar ME, Mateos-Moreno A, Bureau Y, and Chiu S. Quantifying Post-Accident Neurological Symptoms Other than Concussion. Archives of Psychiatry and Behavioral Sciences. 2019; 2(1):50-54.
11. Cernovsky ZZ, Ferrari JJR, Mendonça JD. Pseudodiagnoses of Malingering of Neuropsychological Symptoms in Survivors of Car Accidents by the Structured Inventory of Malingered Symptomatology. Archives of Psychiatry and Behavioral Sciences. 2019; 2(1):55-65.
12. Gutierrez J, Nosonova V, Cernovsky Z, Fattahi M, Tenenbaum S. Gutierrez Questionnaire for Assessments of Patients after Car Accidents. Archives of Psychiatry and Behavioral Sciences. 2019;2(2):10-21.
13. Cernovsky ZZ, Mendonça JD, Ferrari JR. Meta-Analysis of SIMS Scores of Survivors of Car Accidents and of Instructed Malingerers. Archives of Psychiatry and Behavioral Sciences. 2020; 3(1): 01–11.
14. Cernovsky ZZ, Mendonça JD, Bureau YRJ, and Ferrari JR. Criterion Validity of Low Intelligence Scale of the SIMS Archived 2020-06-14 at the Wayback Machine. International Journal of Psychology Sciences. 2019;1(1):3-5.
15. American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. The Standards for Educational and Psychological Testing. Washington, D.C.: AERA Publications, 2014.
16. Clegg C, Fremouw W, and Mogge NL. Utility of the Structured Inventory of Malingered Symptomatology (SIMS) and the Assessment of Depression Inventory (ADI) in screening for malingering among outpatients seeking to claim disability. Journal of Forensic Psychiatry and Psychology. 2009:20(2):239-254. doi:10.1080/14789940802267760
17. Cima M, Hollnack S, Kremer K, Knauer E, Schellbach-Matties R, Klein B, Merckelbach H. „Strukturierter Fragebogen Simulierter Symptome“ Die deutsche Version des „Structured Inventory of Malingered Symptomatology: SIMS“. Nervenarzt. 2003;74:977-986 doi:10.1007/s00115-002-1438-5
18. Widows MR and Smith GP (adaptación: Héctor González Ordi y Pablo Santamaría). SIMS. Inventario Estructurado de Simulación de Síntomas. Madrid, Spain: TEA, 2015.
19. Merckelbach H, Jelicic M, van Impelen A. De Structured Inventory of Malingered Symptomatology (SIMS): Een update. Tijdschrift voor Neuropsychologie. 2013;8(3):170-178.
20. Montrone A, Martino V, Grattagliano I, Massaro Y, Campobasso F, Lisi A, Di Conza A, Catanesi R. L'uso del test sims nella valutazione psicodiagnostica delle condotte distorsive: la simulazione. Uno studio pilota. Rassegna Italiana di Criminologia. 2016;48(2):139-145.
21. Ardic FC, Kose S, Solmaz M, Kulacaoglu F, and Balcioglu YH. Reliability, validity, and factorial structure of the Turkish version of the Structured Inventory of Malingered Symptomatology (Turkish SIMS). Psychiatry and Clinical Psychopharmacology. 2019;29(2):182-188. https://doi.org/10.1080/24750573.2019.1599237
22. Simões MR, Almiro PA, Mota M, et al. Inventário Estruturado de Simulação de Sintomas (SIMS). Chapter 23 in Psicologia forense: Instrumentos de avaliação (editors Simões MR, Almeida LS, Gonçalves MM). Lisboa, Portugal: Pactor, 2017.
23. Cernovsky ZZ and Ferrari JR. Rogers’s RS und SC malingering scales derived from the SIMS. Archives of Psychiatry and Behavioral Sciences. 2020; 3(1): 34–44.