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Impact of Event Scale (IES)

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Created 2004 December 28
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Practical Information

Instrument Name:

Impact of Event Scale (IES)

Instrument Description:

The IES was developed to measure the current degree of subjective impact experienced by a person, as anchored to a specific stressful event (Refs: 1 and 2). The IES is used to assess current distress for any life event. The wording is not specific to any particular occurrence but only to the qualities linked to the subjective experience. (Ref: 1) The IES taps dimensions that are similar to the defining symptoms of PTSD. The IES can be used to (1) observe individuals over time after a stressful event has occurred, (2) compare the degree of subjective distress experienced by subgroups after a stressful life event has occurred, and (3) compare the relative impact of different life events on different populations. (Ref: 1). Content related to the intrusion and avoidance subscales were based on evaluation and interviews with patients. Items were derived from the most frequent statements used to describe distress after recent life events. To make the items specific to each person, the life event experienced most recently was recorded at the top of the IES to be used as a referent for each item. Based on the clinical experience of the IES developers, the items were divided into the Intrusion and Avoidance subscales. Scores may be obtained for each subscale and for the total scale. (Ref: 1) The intrusion component includes items such as repetitive behavior, troubled dreams, and unbidden thoughts and images. The avoidance component includes items such as blunted sensation, ideational constriction, and emotional numbness (Ref: 1). Various forms of the IES were administered to psychotherapy patients with stress response syndromes and to non-patient volunteers who had experienced serious life events. The IES was revised during this pilot testing period to include 20 items (9 intrusion, 11 avoidance). The current IES includes 15 items that reference “the past seven days,” across the subscales of avoidance and intrusion. (Ref: 1) It was found that the scores for frequency and intensity of episodes were similar. Therefore, for a given item, only the higher score of either frequency or intensity is used to indicate the magnitude of the item.

Price:

Free;http://www.mardihorowitz.com

Administration Time:

No information found. Based on number of items, less than 20 minutes.

Publication Year:

1979

Item Readability:

Flesch-Kincaid Grade Level 6.0; a person with a 6th grade level education should be able to read and comprehend the scale.

Scale Format:

4-point scale: (0) not at all, (1) rarely, (3) sometimes, and (4) often. The specific life event and date are recorded at the top of the page. (Ref: 1)

Administration Technique:

Self-report

Scoring and Interpretation:

Add items 1, 4, 5, 6, 10, and 14 for the intrusive subscale score (score range is 0 to 35). Add items 2, 3, 7, 8, 9, 12, 13, and 15 for the avoidance subscale score (score range is 0 to 40). Sum all items for the total score, with higher scores reflecting “more stressful impact.” Total score range is 0 to 75. Scores below eight are subclinical, scores from 9 to 25 are mild to moderate, and scores above 26 indicate moderate to severe impact. (Ref: www.mardihorowitz.com) Recently, a cut-score of 35 has been suggested, which achieves a sensitivity of 0.89 and a specificity of 0.88. (Ref: 3)

Forms:

French (Ref: Brunet A, et al., Can J Psychiatry. 2003 Feb;48(1):56-61. PMID: 12635566); Chinese (Ref: Wu KK, et al., Soc Psychiatry Psychiatr Epidemiol. 2003 Feb;38(2):94-8. PMID: 12563552). A revised version of the IES has also been developed, which is not reviewed here. (Ref: Weiss DS, Marmar CR. The Impact of Event Scale - Revised. In: Wilson JP, Keane TM, editors. Assessing psychological trauma and PTSD. New York: Guilford Press; 1997. 399-411)

Research Contacts

Instrument Developers:

Mardi Horowitz, MD; Nancy Wilner, BA; William Alvarez, MA

Instrument Development Location:

Department of Psychiatry, University of California School of Medicine, San Francisco.

Instrument Developer Email:

No information found.

Instrument Developer Website:

www.mardihorowitz.com

Annotated Bibliography

1. Horowitz M, Wilner N, Alvarez W. Impact of Event Scale: a measure of subjective stress. Psychosomatic Medicine 1979 May;41(3):209-18.[PMID:472086]
Purpose: To determine frequency of item endorsement, test internal reliability, and whether subscales of intrusion and avoidance were empirically cohesive.
Sample: The IES was given to 66 adults (16 men, 50 women between the ages of 20 and 75 years) in an outpatient clinic for treatment of stress response syndromes, after an initial interview with a clinician. No mental health diagnostic procedure was mentioned. Cluster analysis and internal reliability analysis were performed. Half (n=34) had experienced bereavement, the remainder experienced personal injuries. The average length of time from the occurrence of the recent life event to the first visit was 25 weeks, with a range of 1-36 weeks. Groups did not show differences in item endorsement. The mean age of the sample was 34 years. The sample was reportedly of lower middle to middle class and ethnically diverse, although no data are provided to support this claim. For test-retest reliability, the scale was given to 25 physical therapy students (20 women, 5 men) with a median age in the late twenties. A subsample of 32 patients (from the original 66) was used to test sensitivity, as well as a sample of 110 freshmen medical students (75 men, 35 women).
Methods: The IES was given to the 66 subjects after an initial interview, and a separate group of 25 physical therapy students. Frequency of endorsement and test-retest were computed.
Implications: Cluster analysis revealed the concept of subscales for intrusion and avoidance responses. All items were endorsed frequently. The empirical findings indicated that additional revisions were needed. These revisions included (1) reducing the number of items by selecting only those that clustered empirically and had item-to-subscale correlations of p<0.01, (2) deleting the intensity variable, and (3) modifying the wording of some items to reduce ambiguity. (Ref: 1)

2. Zilberg NJ, Weiss DS, Horowitz MJ. Impact of Event Scale: a cross-validation study and some empirical evidence supporting a conceptual model of stress response syndromes. J Consult Clin Psychol. 1982 Jun;50(3):407-14. [PMID: 7096742]
Purpose: To validate the IES.
Sample: The IES was administered to two separate subgroups (1) 35 outpatients who sought treatment for bereavement (mean age=31.4 years, 26% were married, and 26% had children), and (2) 37 field subject volunteers who had experienced bereavement (mean age=37.8 years, 60% were married and 60% had children). No mental health diagnostic procedure was mentioned.
Methods: The IES was given as part of an assessment battery at three times. The patients were assessed at three time points: (1) at entry into the study before dynamic, time-limited psychotherapy began, (2) 4 months after therapy ended, and (3)12 months after therapy ended. The field subjects were assessed at three time points: (1) at study entry (2 months after the death of a loved one), (2) within 7 months after the death, and (3)13 months after the death. The 2 samples contained almost identical numbers of men (18 men were in the patient sample, and 19 men were in the field subject sample).
Implications: The IES is consistent with the theoretical model of stress disorders. The authors suggest the use of two separate subscale scores rather than one total score.

3. Neal LA, Busuttil W, Rollins J, Herepath R, Strike P, Turnbull G. Convergent validity of measures of post-traumatic stress disorder in a mixed military and civilian population. J Trauma Stress 1994 Jul;7(3):447-55.[PMID:8087405]
Purpose: To compare the validity of the MMPI PTSD scale, the IES, and the Symptom Checklist-90 (SCL-90) as continuous and dichotomous measures of PTSD in a mixed military and civilian group.
Sample: 70 patients referred to a hospital PTSD unit in the UK (mean age=31.5 years, 100% Caucasian, 16% female, 84% male, 54% servicemen, and 46% civilian at time of trauma). All participants met DSMIIR criteria for PTSD.
Methods: Patients were assessed for Criteria A PTSD, based on DSM-III-R criteria. All 70 patients met these criteria. Data were collected over a 1-year period. Fifty patients (71%) were assessed at initial presentation and 20 patients (29%) were assessed after brief (12-day) group psychotherapy. Patients completed the IES, MMPI PTSD scale, SCL-90, and Clinician-Administered Post-Traumatic Stress Disorder Scale (CAPS-1), which was used as the gold standard, over a 2 to 3 hour period. The IES was used to evaluate symptom intensity over the previous two weeks.
Implications: All measures were significantly correlated with total endorsed symptom scores of the Structured Clinical Interview (CAPS-1) and with each other. The optimum cut-off score of the IES was the most useful dichotomous measure. This study also determined the optimum cut-off score for the IES that produces the highest positive predictive value and the lowest apparent total misclassification error rate.

4. Hendrix CC, Jurich AP, Schumm WR. Validation of the Impact of Event Scale on a sample of American Vietnam veterans. Psychol Rep. 1994 Aug;75(1Pt1):321-2. [PMID:7984745]
Purpose: To validate the IES as an enduring measure of combat stress.
Sample: 60 Vietnam veterans in the Midwest, aged 37 to 69 years, with a mean age of 46 years at the time of the survey. The average age at the time of service was 26 years, and the mean length of military service was 16 years. No mental health diagnostic procedure was mentioned.
Methods: The IES was administered to veterans long after the traumatic event of combat.
Implications: A single factor was found from factor analysis and supports further use with Vietnam veterans. Reliability of the IES in the study sample was 0.93, as measured by Cronbach’s alpha. The findings of this study suggest that over time, the distinction between Intrusiveness and Avoidance may blur into an overall level of distress or into a long-term stress reaction.

5. Kelly B, Raphael B, Smithers M, Swanson C, Reid C, McLeod R, Thomson D, Walpole E. Psychological responses to malignant melanoma. An investigation of traumatic stress reactions to life-threatening illness. Gen Hosp Psychiatry 1995 Mar;17(2):126-34.[PMID:7789783]
Purpose: To investigate PTSD response to diagnosis of melanoma and validate the IES as a measure of response due to the trauma of a life-threatening disease.
Sample: : 95 consecutive attendees (50 males, 45 females) at an outpatient melanoma clinic with diagnosis of malignant coetaneous melanoma. The sample included newly diagnosed patients as well as patients already being treated. No mental health diagnostic procedure was mentioned. The mean age of study participants was .47.9 years. Sixty-five percent of the study participants were married, 20% were divorced, widowed, or separated, 51.1% had full-time or part-time employment, and 26.1% were retired.
Methods: Some IES items were modified to address diagnosis of melanoma. Patients were given the IES, Hospital Anxiety and Depression Scale (HADS), and the General Health Questionnaire (GHQ-28).
Implications: In the study sample, the IES showed an overall reliability of 0.88, as measured by Cronbach’s alpha. The IES is a reliable and valid measure of distress due to life-threatening disease, with scores varying according to disease progression and prognosis.

6. Larsson G. Dimensional analysis of the Impact of Event Scale using structural equation modeling. J Trauma Stress. 2000 Apr;13(2):193-204. [PMID:10838670]
Purpose: To analyze the dimensionality of the IES using structural equation modeling (SEM).
Sample: 321 persons (62% response rate) who had experienced the mass murder of seven people 8 months earlier (survey respondents had not witnessed the mass murder but worked with those involved). The study sample included 141 military personnel (men only), 68 military conscripts (men only), 84 civilian personnel (46 men, 38 women), and 28 volunteers (26 women). The conscripts and volunteers were younger (between 20 and 30 years of age) and had a higher level of education than the military personnel. No mental health diagnostic procedure was mentioned.
Methods: A survey containing background information items, the IES, and the General Health Questionnaire-28 (the GHQ-28) was mailed 8 months after the incident. A dimensional analysis of IES items was performed using SEM. The occurrence of a general factor and residual factors were ascertained by means of a hierarchical approach.
Implications: A model with a generalized factor and three subordinate factors (avoidance, intrusiveness, sleep disturbance) was developed. The original subscales could be thought of as a reflection of negative affectivity.

7. Shevlin M, Hunt N, Robbins I. A confirmatory factor analysis of the Impact of Event Scale using a sample of World War II and Korean War veterans. Psychol Assess. 2000 Dec;12(4):414-7. [PMID:11147109]
Purpose: To assess the factor structure of the IES with a sample of WWII and Korean War veterans who experienced combat 40-50 years earlier.
Sample: Study participants were recruited through media appeals and veterans’ organizations. The sample consisted of WWII (n=657) and Korean War (n=22) veterans, and 52 veterans who fought in both wars, for a total sample size of 731. All were male, fought in the British armed forces, and lived in the UK. The mean age of the study participants was 72 years (S.D. = 4.62 years). The highest rank of the study participants was privates (33%), NCOs (49%), and officers (18%). Fourteen percent of the study sample was ex-POWs. No mental health diagnostic procedure was mentioned.
Methods: Veterans completed the IES and GHQ-28. Three confirmatory factor analytic models were estimated with LISREL 8.3. Correlations between the IES and GHQ-28 were found.
Implications: The 2-factor solution in Model 3, which included the two original subscales and additional parameters, and which allowed items 2 and 12 to load on both factors, fit the data and provided a better explanation of the data than the other models. The IES total and subscale score correlations are similar to the GHQ-28 items, which leads to questions regarding the benefit of using subscale scores instead of the total scale score in clinical and research settings. In this sample, reliability of the total IES was 0.91, as measured by Cronbach’s alpha, reliability of the Intrusion scale subscale was 0.87, and reliability of the Avoidance scale was 0.90.

8. Amdur RL, Liberzon I. The structure of posttraumatic stress disorder symptoms in combat veterans: a confirmatory factor analysis of the Impact of Event Scale. J Anxiety Disord. 2001 Jul-Aug;15(4):345-57.[PMID:11474819]
Purpose: To test the factor structure of the IES in a sample of male veterans with chronic PTSD, using confirmatory factor analysis.
Sample: 195 male combat veterans with chronic PTSD (according to DSM-III-R criteria), referred to the PTSD clinic at a VAMC. Trauma involved combat in Vietnam (85% of participants), Desert Storm (6% of participants), WWII (4% of participants), Korea (1% of participants), or other conflicts (4% of participants). The mean age of study participants was 45.9 years (S.D. = 7.6 years). The mean time since trauma was 20.4 years (S.D. = 3.2 years). Eighty-three percent of the sample was Caucasian and 12% were African American. Fifty-three percent were married, 37% were divorced or separated, 39% had substance abuse or dependence in remission, and 36% had current comorbid substance abuse or dependence.
Methods: Veterans filled out the IES, Mississippi PTSD scale, Combat Exposure Scale, Dissociative Experiences Survey, MMPI PTSD subscale, and were administered structured clinical interviews. Confirmatory factor analysis was performed. The four-factor IES was correlated with the other scales.
Implications: A four-factor model exhibited a better fit than the two-factor model.

9. Sundin EC, Horowitz MJ. Impact of Event Scale: psychometric properties. Br J Psychiatry. 2002 Mar;180:205-9. Review. [PMID:11872511]
Purpose: To review studies examining the psychometric properties of the IES.
Sample: It is not clear if there was a mental health diagnostic procedure for any of the studies reviewed.
Methods: Literature review. Sundin and Horowitz reviewed 40 studies containing data pertaining to the reliability and validity of the IES. This article presents statistical findings from 23 of these studies.
Implications: The two-factor structure of the IES was supported in 10 of 12 studies examining the dimensionality of this construct, regardless of differences in the study samples or the time since the event. For the Intrusion subscale, the mean of Cronbach’s alpha across 18 estimates provided by the reviewed studies was 0.86. For the Avoidance subscale, the mean of Cronbach’s alpha across the 18 estimates was 0.82. All of the studies examined showed stability of the IES Intrusion and Avoidance subscales. The authors conclude that the IES can be used as a screening instrument for PTSD.

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Factors and Norms

Factor Analysis Work:

Principal components factor analysis with varimax rotation was performed with a two-factor forced solution. The Avoidance subscale had avoidance item loadings ranging from 0.391 to 0.860, while the Intrusion subscale had intrusion item loadings ranging from 0.578 to 0.745. (Ref: 2) The subscales correlated at 0.57 to 0.78 across two bereaved groups and three assessment periods, except at Time1 (pre-therapy) for psychotherapy patients (r=0.15, p<0.40). (Ref: 2) The subscales have also been found to correlate (r=0.49). (Ref: 3) In a sample of Vietnam veterans with a mean age of 46 years, principal axis factor analysis suggested one factor of general level of distress, on which 13/15 items had factor loadings > 0.50 and which accounted for 49% of the total variance. (Ref: 4)

Confirmatory factor analysis with varimax rotation was performed with a sample of 95 melanoma patients and revealed that the Intrusion factor was distinct from the Avoidance factor. The Intrusion subscale accounted for 42.4% of the total variance and the Avoidance subscale accounted for 13.2% of the total variance. (Ref: 5) Together, both items accounted for 55.4% of the total variance in IES scores.

Another confirmatory factor analysis produced a general factor (G-factor, all 15 items) and three specific residual factors of Intrusion (items 1, 4, 5, 8, 10, 11, 14), Avoidance (items 2, 3, 7, 8, 9, 12, 13, 15), and Sleep Disturbance (items 4, 6). Items 4 and 8 were each included in 2 different factors. The correlations between the factors were found to be highest when the original IES factor scales were used. (Ref: 7) A root mean square error of approximation (RMSEA) of 0.062 was obtained. All factor loadings were significant, with the exception of items 5 and 14 in the Intrusion factor and item 12 in the Avoidance factor. Determinacy coefficients were 0.94 for the General factor, 0.80 for the Intrusion factor, and 0.63 for a Sleep Disturbance factor. (Ref: 6)

A confirmatory factor analysis using three estimated models found that the third model afforded the best fit and explanation of the data (goodness-of-fit-index=0.97, adjusted goodness-of- fit-index=0.96, normed fit index=0.94, comparative fit index=0.96). Model 1 consisted of a single factor model. Model 2 consisted of 2 correlated factors in which the Intrusion items (1,4,5,6,10,11,12) loaded on the first factor and the Avoidance items (2,3,7,8,9,12,13,15) loaded on the second factor. Model 3 had the same specifications as Model 2 but included additional parameters, and items 2 and 12 were allowed to load on both factors (Ref: 7). This model used the same two-factor structure as the original IES, but allowed items 2 and 12 to load on both the Intrusion and Avoidance factors. All loadings on Model 3 were statistically significant (p<0.05). The factors correlated at 0.68. (Ref: 7) A confirmatory factor analysis using a 4-factor model including Intrusion, Sleep Disorder, Avoidance, and Numb showed adjusted goodness-of-fit of 0.92. (Ref: 8)

Confirmatory factor analysis was also performed using a sample of male combat veterans with chronic PTSD. In this group, a four-factor model was the best fit: Intrusion (items 1, 5, 10, 11, 14; alpha=0.79), Effortful Avoidance (items 2, 3, 7, 13; alpha=0.60), Sleep Disturbance (items 4, 6; alpha=0.77), and Emotional Numbing (items 8, 12, 15; alpha=0.49). Internal consistency for the entire scale was alpha=0.75. (Ref: 8)

Normative Information Availability:

No information found.

Reliability Evidence

Test-retest:

Test-retest reliability with a one-week interval was 0.87 for the total scale, 0.89 for the Intrusion subscale, and 0.79 for the Avoidance subscale. (Ref: 1)

Inter-rater:

Not applicable (self-report measure).

Internal Consistency:

Internal consistency of 0.75, measured by Cronbach’s alpha, was found for the entire scale, in a sample of 195 male combat veterans (Ref: 7). Internal consistency coefficients, measured by Cronbach’s alpha, ranged from 0.79 to 0.90 for evaluations at 2 months, 7 months, and 13 months after the death of a loved one (Ref: 2). Cronbach’s alpha was 0.78 for the Intrusion subscale and 0.82 for the Avoidance subscale. The Intrusion and Avoidance subscales correlated at 0.42 (p>0.0002). (Ref: 1) Across two groups (patient or field subject) and three assessments, Cronbach’s alpha ranged from 0.79 to 0.92. Cronbach’s alpha was 0.86 to 0.90 across the pooled sample. (Ref: 2) Cronbach’s alpha in a group of Vietnam veterans was 0.93. (Ref: 4) In malignant melanoma patients, alpha was 0.88. (Ref: 5) Further, among a group of WWII and Korean War veterans, Cronbach’s alpha was 0.91 for the total IES, 0.87 for Intrusion, and 0.90 for Avoidance. (Ref: 7) A literature review of 23 studies found a mean Cronbach’s alpha of 0.86 for Intrusion and 0.82 for avoidance. (Ref: 9)

Alternate Forms:

The split-half reliability of the total scale is 0.86 (Ref: 1)

Validity Evidence

Construct/ Convergent/ Discriminant:

The IES correlated with the PTSD MMPI scale at 0.79 and the SCL-90 at 0.78. (Ref: 3) The IES correlated significantly with the Hospital Anxiety and Depression Scale (HADS) anxiety subscale at r=0.33 (p<0.01), the GHQ anxiety subscale at r=0.37 (p<0.01), while the GHQ social dysfunction subscale at r=0.30 (p<0.01) in a group of malignant melanoma patients. (Ref: 5) The IES correlated with the total GHQ-28 scale at 0.55 (p=0.001). (Ref: 6 In a 4-factor model that included Intrusion, Sleep Disturbance, Avoidance, and Numb subscales, the Intrusion subscale had moderately large positive correlations with the Mississippi and MMPI PTSD scales, indicating convergent validity. (Ref: 7) In the 4-factor IES model, all of the correlations among the 4 IES subscales are small to moderate, indicating discriminant validity. (Ref: 8) In the 2-factor IES model, the correlation between Intrusion and Avoidance is moderate (r=0.63). (Ref: 9). The correlations between the IES Intrusion and Avoidance subscales and PTSD as diagnosed using six different instruments (Structured Clinical Interview for DSM-III-Revised, Mississippi Scale for Combat-Related PTSD, Structured Clinical Interview (CAPS-1), Intensity Score, PTSD-Minnesota Multiphasic Personality Inventory, and PTSD Inventory) range from 0.29-0.80. These results indicate that the relationships are moderate, and that the IES Intrusion and Avoidance subscales capture information that is not contributed by the other measures. (Ref: 9)

Criterion-related/ Concurrent/ Predictive:

The IES correlated with the CAPS-1 endorsed symptoms score at 0.81 and the CAPS-1 intensity score at 0.78. (Ref: 3) To demonstrate sensitivity of distinguishing between groups, the IES was given to 110 medical students after their first cadaver dissection and compared to a patient group. There were significant differences between groups, with patients showing higher levels of distress as expected (Intrusion: F=212.1, p<0.0001; Avoidance: F=73.0, p<0.001; total: F=170.8, p<0.0001). (Ref: 1) A literature review, which assessed the correlation of the IES subscales with PTSD diagnosis in three studies, showed an average correlation of 0.68 for Intrusion and 0.59 for Avoidance. (Ref: 9) The 4-factor model of the IES had moderately positive correlations with the Dissociative Experiences Survey, indicating concurrent validity (Ref: 8). Concurrent validity is also shown by a small but significant correlation with a measure of combat exposure. (Ref: 7).

Content:

Content was based on evaluation and interviews with patients. Items were derived from the most frequent statements used to describe distress after life events. The IES was pilot-tested with psychotherapy patients with stress response syndromes and nonpatient volunteers who experienced severe life events. (Ref: 1) In a review of 12 research studies using the IES, Sundin and Horowitz found that the Intrusion and Avoidance subscales appear to be only moderately correlated with each other; the mean correlation of the subscales across the 12 studies was 0.63. (Ref: 9)

Responsiveness Evidence:

Patients completed the IES immediately before and after a brief stress response therapy, with a mean period of 11 weeks in between. IES scores agreed with clinical assessments indicating that 80% of patients achieved improvement at beneficial levels. (Ref: 1) Responsiveness was tested in 2 samples (1) patients undergoing therapy) and (2) field subjects, over three assessment periods. Patients showed significant improvement from Time 1 to Time 2 (from entry into the study and initiation of time-limited dynamic psychotherapy to 4 months after termination of the therapy), which plateaud from Time 2 to Time 3 (from 4 months after termination of the therapy to 12 months after termination of the therapy) (p<0.001). Field subjects showed significant improvement from Time 1 to Time 3 (p<0.025). (Ref: 2). The IES appears to be a sensitive measure of change in clinical status over time.

Scale Application in VA Populations:

Yes. (Ref: 3-4,6-8)

Scale Application in non-VA Populations:

Yes. (Ref: 1-3,5-6).

Comments


The IES appears to be a reliable and valid screening measure for rating the severity of symptoms that result from trauma/stressful events. The instrument is short and is based on self-report, which may lead to minimal burden. Information pertaining to the factor structure of the IES in specific population groups, such as African Americans or Hispanics, is unclear. Most psychometric evidence for the measure has been developed on populations with symptoms resulting from trauma/stressful events but without mental health diagnoses. Only two studies used populations that received PTSD diagnoses. Therefore, this measure is best used to rate symptom severity, rather than to screen for PTSD.