Spanish-version of the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5) in health-workers
Villarreal-Zegarra, D.; De la Cruz-Torralva, K.; Barrera-Begazo, J.; Rosales-Rimache, J.; Soto-Becerra, P.; Vilela-Estrada, A. L.; Diaz, C.; Apolaya, M.; Lea, R.; Reategui-Rivera, C. M.; Garcia, F. E.
Show abstract
BackgroundThe Posttraumatic Stress Disorder Checklist (PCL-5) is one of the most widely used instruments for assessing posttraumatic stress disorder (PTSD), adapted to meet DSM-5 criteria. Establishing a validated online version for Spanish-speaking populations, particularly among healthcare professionals, is essential to ensure accurate assessment aligned with these updated criteria. AimThe purpose is to evaluate the psychometric properties of the online Spanish version of the PCL-5 for healthcare professionals exposed to the COVID-19 health emergency. MethodsThe study involved 1543 Peruvian healthcare professionals aged 20 to 70 recruited through a virtual platform. In addition to the PCL-5, instruments were administered to assess depressive symptoms (assessed by PHQ-9) and anxious symptoms (assessed by GAD-7). ResultsThe results showed that the 7-factor model presented the best fit among all models (CFI=0.967; TLI=0.958; SRMR=0.030; RMSEA[CI90%]=0.062 [0.057-0.067]) and met the measurement invariance across sexes, age groups, and educational levels, with adequate values of internal consistency ({Delta}CFI<0.01; {Delta}RMSEA<0.01). Moreover, a high latent correlation was observed with depressive and anxious symptoms ([≥]0.60). ConclusionThe online Spanish version of the PCL-5 scale is a valid and reliable tool for assessing PTSD among Spanish-speaking healthcare professionals, representing the only instrument adapted to DSM-5 criteria for this population.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Closed Doors: Predictors of Stress, Anxiety, Depression, and PTSD During the Onset of COVID-19 Pandemic in Brazil 98%
- Prevalence and Risk Factors for Acute Posttraumatic Stress Disorder during the COVID-19 Outbreak 95%
- Screening for Post-Traumatic Stress Disorder following Childbirth using the Peritraumatic Distress Inventory 94%
Similar papers in this journal
- Changes in hospital staff mental health during the Covid-19 pandemic: longitudinal results from the international COPE-CORONA study 96%
- The association between stigmatizing attitudes towards depression and help seeking attitudes in college students 96%
- Fear among Syrians: a Proposed Cutoff Score and Validation of the Arabic Fear of COVID-19 Scale- A National Survey 95%
Similar papers in this journal
- A psychometric validation of the Hospital Anxiety and Depression Scale (HADS) in community-dwelling older adults 95%
- Assessing the influence of parental anxiety on childhood anxiety during the COVID-19 pandemic in the United Arab Emirates 93%
- Treatment provision for adults with ADHD during the COVID-19 pandemic: An exploratory study on patient and therapist experience with on-site sessions using face masks vs. telepsychiatric sessions 92%
Similar papers in this journal
- "What matters in help-seeking and disclosure intent of intimate partner violence during the COVID-19 pandemic:Similarities and differences across demographic groups" 95%
- The experience of distress during the COVID-19 outbreak: a cross-country examination on the fear of COVID-19 and the sense of loneliness 93%
- Effect of working from home on the association between job demands and psychological distress 92%
Similar papers in this journal
- Anxiety, depression, and insomnia among nurses during the full liberalization of COVID-19: A multicenter cross-sectional analysis of the high-income region in China 94%
- Increasing trends in mental health problems among Chinese young adolescents: results from repeated cross-sectional data in Changsha 2016-2020 93%
- Health Needs Assessment: Development of a Simplified Risk Probability Scale (SRPS) Design for Rapid Mental Health Screening in Emergency Frontline Rescue Teams 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.