Maryam Asadi Aghajari; Elnaz Hashemzadeh; Sevda Fazlizade; Mansour Ojaghloo; Leila Ghanbari-Afra; Zeinab Ghahremani; Mohammad Abdi
Volume 11, Issue 3 , July 2023, , Pages 138-145
Abstract
Objective: Emergency medical technicians (EMTs) are at risk of developing post-traumatic stress disorder(PTSD) as a result of seeing painful events involving suspected COVID-19 patients and being concerned aboutpotentially infecting themselves and their families. Therefore, screening for these disorders ...
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Objective: Emergency medical technicians (EMTs) are at risk of developing post-traumatic stress disorder(PTSD) as a result of seeing painful events involving suspected COVID-19 patients and being concerned aboutpotentially infecting themselves and their families. Therefore, screening for these disorders is essential in thepost-Corona era. This study aimed to investigate the prevalence of PTSD among EMTs and its relationship withoccupational stress and depression when dealing with patients with suspected COVID-19.Methods: This cross-sectional study was conducted on EMTs at Zanjan University of Medical Sciences usinga convenience sampling method. Data were collected using a demographic information questionnaire, PTSDchecklist, occupational stress questionnaire, and the Goldberg depression scale. The data were analyzed using SPSSsoftware. Statistical tests such as Pearson correlation and logistic regression analysis were used to evaluate the data.Result: 205 EMTs participated in this cross-sectional study. The mean and standard deviation of PTSD was37.13±12.93 (17-85), and according to the cut-off (45), the prevalence of PTSD was 30.7%. There was a direct andsignificant association between the total PTSD and depression scores (r=0.435, p=0.001). Some occupational stressdomains, such as demand (r=0.306, p=0.001), colleague support (r=0.149, p=0.033), and communication (r=0.293,p=0.001) had a significant association with PTSD. The domains of sadness in depression (OR=1.074, p=0.027)and demands in occupational stress (OR=1.872, p=0.029) were the most important predictors of PTSD. Amongdemographic variables, employment status was the most important protective factor for PTSD (OR=0.378, p=0.038).Conclusion: PTSD affected one-third of EMTs, and it had a significant relationship with various dimensionsof depression and occupational stress. Due to the chronic nature of these diseases, policymakers are advised toprioritize psychological screening of EMTs as part of the post-Corona policy.
Naema khodadadi-hassankiadeh; Nahid Dehghan-Nayeri; Hooman Shahsavari; Shahrokh Yousefzadeh-Chabok; Hamid Haghani
Volume 5, Issue 3 , July 2017, , Pages 197-205
Abstract
Objective: To assess the psycho-social and mental variables associated with post-traumatic stress disorder (PTSD) in a series of Iranian patients.Methods: A total of 528 eligible accident survivors in pre-sampling of a randomized controlled trial targeting PTSD were included in this cross-sectional study. ...
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Objective: To assess the psycho-social and mental variables associated with post-traumatic stress disorder (PTSD) in a series of Iranian patients.Methods: A total of 528 eligible accident survivors in pre-sampling of a randomized controlled trial targeting PTSD were included in this cross-sectional study. Psycho-social characteristics associated to PTSD were explored in these survivors in an outpatient clinic. They completed the questionnaires via interview between six weeks to six months after accident. Data collection tools were PSS (DSM-V version) for PTSD and BDI-II for depression and a researcher-made questionnaire for psycho-social variables.Multivariate logistic regression indicated that some variables were associated with PTSD such as accident perceived severity, (p<000), injured situation, (p<000), current depression, (p<000), RTW (p<000), and family communication (p=0.01).Results: There was a significant association between PTSD and the following variables; family communication, current depression, return to work, history of death of relatives, witnessed the death, length of amnesia, hospitalization, injured situation, and accident severity. Multivariate logistic regression indicated that some variables were associated with PTSD such as accident severity, (p<0.001), injured situation, (p<0.001), current depression, (p<0.001), RTW (p<0.001), and family communication (p=0.01).Conclusion: Psychiatric nursing prevention efforts is best directed toward motorcycle depressed drivers with severe accident and poor family communication who do not return to work. Thus, routine assessment of PTSD, depression and psycho-social variables after traffic accidents must be taken into account.
