The prevalence of post-traumatic stress disorder (PTSD) in US combat soldiers: a head-to-head comparison of DSM-5 versus DSM-IV-TR symptom criteria with the PTSD checklist

Hoge, Charles W.; Riviere, Lyndon A.; Wilk, Joshua E.; Herrell, Richard; Weathers, Frank W.

doi:10.1016/s2215-0366(14)70235-4

Cited by 321 publications

(262 citation statements)

References 29 publications

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“…Indeed, in a study that compared the DSM-IV PTSD Checklist (PCL-S) to the DSM-5 version of the measure (PCL-5), Hoge and his colleagues found that whereas PTSD prevalence according to the two instruments was nearly identical (13 versus 12 %), a high percentage of participants who met criteria by one definition did not meet the other (i.e., 45 % of participants meeting either criteria had discordant results). 38 Further, similar to our findings, Hoge et al found that the diagnostic utility of the PCL was not changed despite these disparities regarding which participants were categorized as having PTSD. 38 Because DSM-5 represents the most up-to-date knowledge of the PTSD construct, it is essential that we have a screener that can identify patients with probable PTSD based on this definition.…”

Section: Discussionsupporting

confidence: 89%

“…38 Further, similar to our findings, Hoge et al found that the diagnostic utility of the PCL was not changed despite these disparities regarding which participants were categorized as having PTSD. 38 Because DSM-5 represents the most up-to-date knowledge of the PTSD construct, it is essential that we have a screener that can identify patients with probable PTSD based on this definition. Our results suggest that the PC-PTSD-5, which was designed to reflect the DSM-5 PTSD definition, does that without compromising the excellent diagnostic utility of its predecessor.…”

Section: Discussionsupporting

confidence: 89%

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The Primary Care PTSD Screen for DSM-5 (PC-PTSD-5): Development and Evaluation Within a Veteran Primary Care Sample

et al. 2016

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BACKGROUND: Posttraumatic Stress Disorder (PTSD) is associated with increased health care utilization, medical morbidity, and tobacco and alcohol use. Consequently, screening for PTSD has become increasingly common in primary care clinics, especially in Veteran healthcare settings where trauma exposure among patients is common. OBJECTIVE: The objective of this study was to revise the Primary Care PTSD screen (PC-PTSD) to reflect the new Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria for PTSD (PC-PTSD-5) and to examine both the diagnostic accuracy and the patient acceptability of the revised measure. DESIGN: We compared the PC-PTSD-5 results with those from a brief psychiatric interview for PTSD. Participants also rated screening preferences and acceptability of the PC-PTSD-5. PARTICIPANTS: A convenience sample of 398 Veterans participated in the study (response rate = 41 %). Most of the participants were male, in their 60s, and the majority identified as non-Hispanic White. MEASURES: The PC-PTSD-5 was used as the screening measure, a modified version of the PTSD module of the MINI-International Neuropsychiatric Interview was used to diagnose DSM-5 PTSD, and five brief survey items were used to assess acceptability and preferences. Patients found the screen acceptable and indicated a preference for administration by their primary care providers as opposed to by other providers or via self-report.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionsupporting

confidence: 89%

The Primary Care PTSD Screen for DSM-5 (PC-PTSD-5): Development and Evaluation Within a Veteran Primary Care Sample

et al. 2016

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“…As a result, some individuals who met the DSM-IV-TR symptom criteria of PTSD do not meet the DSM-5 PTSD criteria (e.g. Hoge, Riviere, Wilk, Herrell, & Weathers, 2014; Kilpatrick et al, 2013). Our study emphasizes that these stressful event types can cause similar levels, and for men even higher levels, of symptoms and suffering in daily functioning.…”

Section: Discussionmentioning

confidence: 99%

A new perspective on PTSD symptoms after traumatic vs stressful life events and the role of gender

Berg

Tollenaar

Spinhoven

et al. 2017

European Journal of Psychotraumatology

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Background: There is an ongoing debate about the validity of the A1 criterion of PTSD. Whereas the DSM-5 has opted for a more stringent A1 criterion, the ICD-11 will leave it out as a key criterion. Objective: Here we investigated whether formal DSM-IV-TR traumatic (A1) and stressful (non-A1) events differ with regard to PTSD symptom profiles, and whether there is a gender difference in this respect. Method: This was examined in a large, mostly clinical sample from the Netherlands Study of Depression and Anxiety (n = 1433). Participants described their most bothersome (index) event and were assigned to either an A1 or non-A1 event group according to this index event. Results: Remarkably, in men PTSD symptoms were even more severe after non-A1 than A1 events, whereas in women symptoms were equally severe after non-A1 and A1 events. Moreover, while women showed significantly higher PTSD symptoms after A1 events than men (29.9 versus 15.4% met PTSD criteria), there was no gender difference after non-A1 events (women: 28.2%; men: 31.3%). Furthermore, anxiety and perceived impact were higher in women than men, which was associated with PTSD symptom severity. Conclusion: In sum, while women showed similar levels of PTSD symptoms after both event types, men reported even higher levels of PTSD symptoms after non-A1 than A1 events. These findings shed a new light on the role of gender in PTSD symptomatology and the clinical usefulness of the A1 criterion.

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“…Lifetime prevalence is estimated at 1.3–12.2% (Karam et al, 2014). The probability of developing PTSD after a traumatic event varies according several risk factors (Hoge, Riviere, Wilk, Herrell, & Weathers, 2014, Kessler, Sonnega, Bromet, Hughes, & Nelson, 1995) which can be classified as pre-trauma (sex, IQ, prior trauma exposure, prior mental disorder, genetics, personality factors), related to trauma (perceived fear of death, assaultive trauma, severity of trauma, physical injury) or post-trauma (high heart rate, low social support, financial stress, pain severity, intensive care stay, traumatic brain injury, peritraumatic dissociation, acute stress disorder, disability; Sareen, 2014). Functional and emotional impairments impact on quality of life.…”

Section: Introductionmentioning

confidence: 99%

e-PTSD: an overview on how new technologies can improve prediction and assessment of Posttraumatic Stress Disorder (PTSD)

Bourla

Mouchabac

El‐Hage

et al. 2018

European Journal of Psychotraumatology

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Background: New technologies may profoundly change our way of understanding psychiatric disorders including posttraumatic stress disorder (PTSD). Imaging and biomarkers, along with technological and medical informatics developments, might provide an answer regarding at-risk patient’s identification. Recent advances in the concept of ‘digital phenotype’, which refers to the capture of characteristics of a psychiatric disorder by computerized measurement tools, is one paradigmatic example. Objective: The impact of the new technologies on health professionals practice in PTSD care remains to be determined. The recent evolutions could disrupt the clinical practices and practitioners in their beliefs, ethics and representations, going as far as questioning their professional culture. In the present paper, we conducted an extensive search to highlight the articles which reflect the potential of these new technologies. Method: We conducted an overview by querying PubMed database with the terms [PTSD] [Posttraumatic stress disorder] AND [Computer] OR [Computerized] OR [Mobile] OR [Automatic] OR [Automated] OR [Machine learning] OR [Sensor] OR [Heart rate variability] OR [HRV] OR [actigraphy] OR [actimetry] OR [digital] OR [motion] OR [temperature] OR [virtual reality]. Results: We summarized the synthesized literature in two categories: prediction and assessment (including diagnostic, screening and monitoring). Two independent reviewers screened, extracted data and quality appraised the sources. Results were synthesized narratively. Conclusions: This overview shows that many studies are underway allowing researchers to start building a PTSD digital phenotype using passive data obtained by biometric sensors. Active data obtained from Ecological Momentary Assessment (EMA) could allow clinicians to assess PTSD patients. The place of connected objects, Artificial Intelligence and remote monitoring of patients with psychiatric pathology remains to be defined. These tools must be explained and adapted to the different profiles of physicians and patients. The involvement of patients, caregivers and health professionals is essential to the design and evaluation of these new tools.

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The prevalence of post-traumatic stress disorder (PTSD) in US combat soldiers: a head-to-head comparison of DSM-5 versus DSM-IV-TR symptom criteria with the PTSD checklist

Cited by 321 publications

References 29 publications

The Primary Care PTSD Screen for DSM-5 (PC-PTSD-5): Development and Evaluation Within a Veteran Primary Care Sample

The Primary Care PTSD Screen for DSM-5 (PC-PTSD-5): Development and Evaluation Within a Veteran Primary Care Sample

A new perspective on PTSD symptoms after traumatic vs stressful life events and the role of gender

e-PTSD: an overview on how new technologies can improve prediction and assessment of Posttraumatic Stress Disorder (PTSD)

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