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Kim SH, Kim KA, Baek J, Choi J, Chu SH. e-Health for Traumatized Refugees: A Scoping Review. Telemed J E Health 2022; 29:635-645. [PMID: 36169628 DOI: 10.1089/tmj.2022.0228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background: High prevalence of post-traumatic stress disorder (PTSD) is reported among refugees exposed to traumatic experiences, while escaping from their home country, entering a third country, and adjusting to a new society. Electronic health (e-health) treatments have been utilized to overcome challenges such as high costs, limited access to care, and a shortage of resources faced by traumatized refugees. Objective: The aim of this scoping review was to summarize the current science on e-health to screen and treat PTSD in traumatized refugees, examine its benefits and challenges, and suggest strategies for future research. Methods: We conducted a scoping review guided by Arksey and O'Malley's 6-stage scoping review framework. Results: Of the 2,782 articles identified, 8 studies were included for the final analysis. Due to the heterogeneity of studies, the synthesis of results was not feasible. However, the findings of individual studies were examined. The most commonly used technology modality was the smartphone (n = 5). One study revealed the possibility of telephonic screening of PTSD to be equally efficacious as in-person screening, and all interventions through smartphone and the internet reported high feasibility and acceptability. Conclusion: e-Health is suggested to be a novel and scalable platform to provide mental health care in settings with limited resources. Larger and highly robust studies in refugee populations with PTSD-targeted, theory-based approaches and diverse technological formats such as video conferencing and virtual reality are warranted.
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Affiliation(s)
- Soo Hyun Kim
- Department of Nursing, Yonsei University College of Nursing, Seoul, Korea
| | - Kyoung-A Kim
- Department of Nursing, Gachon University College of Nursing, Incheon, Korea
| | - Jiwon Baek
- Department of Nursing, Yonsei University College of Nursing, Seoul, Korea.,Mo-Im Kim Nursing Research Institute, Yonsei University College of Nursing, Seoul, Korea
| | - JiYeon Choi
- Department of Nursing, Yonsei University College of Nursing, Seoul, Korea.,Mo-Im Kim Nursing Research Institute, Yonsei University College of Nursing, Seoul, Korea
| | - Sang Hui Chu
- Department of Nursing, Yonsei University College of Nursing, Seoul, Korea.,Mo-Im Kim Nursing Research Institute, Yonsei University College of Nursing, Seoul, Korea
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Isobel S, Wilson A, Gill K, Howe D. 'What would a trauma-informed mental health service look like?' Perspectives of people who access services. Int J Ment Health Nurs 2021; 30:495-505. [PMID: 33219725 DOI: 10.1111/inm.12813] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 10/07/2020] [Accepted: 10/21/2020] [Indexed: 01/08/2023]
Abstract
Trauma-informed care is an approach to the delivery of mental health care based on an awareness of the high prevalence of trauma in the lives of people accessing mental health services, the effects of trauma experiences and the potential for trauma or re-traumatization to occur in the context of care. Across Australia, inquiries and reports have increasingly indicated an urgent need for mental health services to become trauma-informed. However, how Australian mental health services should deliver trauma-informed care is not well documented. Efforts towards trauma-informed care in any setting require engagement with those who receive care. This qualitative study used an experience-based co-design methodology to explore the perspectives of consumers of mental health services in Australia and their family members, in relation to the question 'what would a trauma-informed mental health service look like?' Focus groups were held with consumers (n = 10) and carers (n = 10). Thematic analysis of transcripts identified that consumers and carers consider that trauma-informed care requires increased awareness of trauma amongst mental health staff, opportunities to collaborate in care, active efforts by services to build trust and create safety, the provision of a diversity of models and consistency and continuation of care. The findings provide important new information about the experiences of Australian service users and have implications for the implementation of trauma-informed care across settings.
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Affiliation(s)
- Sophie Isobel
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Allyson Wilson
- Mental Health Services, Mid North Coast Local Health District, Port Macquarie, New South Wales, Australia
| | - Katherine Gill
- Consumer Led Research Network, University of Sydney, Sydney, New South Wales, Australia
| | - Deborah Howe
- NSW Agency for Clinical Innovation, St Leonards, New South Wales, Australia
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Smits FM, de Kort GJ, Geuze E. Acceptability of tDCS in treating stress-related mental health disorders: a mixed methods study among military patients and caregivers. BMC Psychiatry 2021; 21:97. [PMID: 33588798 PMCID: PMC7883955 DOI: 10.1186/s12888-021-03086-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 02/01/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Noninvasive brain stimulation techniques like transcranial direct current stimulation (tDCS) offer potential new approaches to treat stress-related mental health disorders. While the acceptability of tDCS as a treatment tool plays a crucial role in its development and implementation, little is known about tDCS acceptability for users in mental healthcare, especially in the context of stress-related disorders. METHODS Using a mixed-methods approach, we investigated tDCS acceptability among 102 active duty and post-active military patients with stress-related symptoms (posttraumatic stress disorder, anxiety and impulsive aggression) who participated in a 5-session tDCS intervention. Quantitative dropout and adverse effects data was collected for all patients involved in the sham-controlled tDCS intervention. We additionally explored perspectives on the acceptability of tDCS treatment via a theory-based semi-structured interview. A subgroup of patients as well as their caregivers were interviewed to include the views of both patients and mental healthcare professionals. RESULTS Quantitative outcomes showed minimal tDCS-related adverse effects (mild itching or burning sensations on the scalp) and high tDCS treatment adherence (dropout rate: 4% for active tDCS, 0% for sham). The qualitative outcomes showed predominantly positive attitudes towards tDCS interventions for stress-related disorders, but only as complementary to psychotherapy. Remarkably, despite the perception that sufficient explanation was provided, patients and caregivers stressed that tDCS treatment comprehension was limited and should improve. Also, the travel associated with frequent on-site tDCS sessions may produce a significant barrier to care for patients with stress-related disorders and active-duty military personnel. CONCLUSIONS Acceptability numbers and perspectives from military patients and caregivers suggest that tDCS is an acceptable complementary tool in the treatment of stress-related disorders. Critically, however, if tDCS is to be used beyond scientific studies, adequately educating users on tDCS working mechanisms is vital to further improve its acceptability. Also, the perceived potential barrier to care due to frequent travel may favor home-based tDCS solutions. TRIAL REGISTRATION The tDCS intervention was part of a sham-controlled trial registered on 05-18-2016 at the Netherlands Trial Register with ID NL5709 .
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Affiliation(s)
- Fenne M. Smits
- grid.462591.dBrain Research & Innovation Centre, Ministry of Defence, Lundlaan 1, 3584 EZ Utrecht, The Netherlands ,grid.7692.a0000000090126352Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Guido J. de Kort
- grid.462591.dBrain Research & Innovation Centre, Ministry of Defence, Lundlaan 1, 3584 EZ Utrecht, The Netherlands
| | - Elbert Geuze
- grid.462591.dBrain Research & Innovation Centre, Ministry of Defence, Lundlaan 1, 3584 EZ Utrecht, The Netherlands ,grid.7692.a0000000090126352Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
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Classifying post-traumatic stress disorder using the magnetoencephalographic connectome and machine learning. Sci Rep 2020; 10:5937. [PMID: 32246035 PMCID: PMC7125168 DOI: 10.1038/s41598-020-62713-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 03/18/2020] [Indexed: 11/09/2022] Open
Abstract
Given the subjective nature of conventional diagnostic methods for post-traumatic stress disorder (PTSD), an objectively measurable biomarker is highly desirable; especially to clinicians and researchers. Macroscopic neural circuits measured using magnetoencephalography (MEG) has previously been shown to be indicative of the PTSD phenotype and severity. In the present study, we employed a machine learning-based classification framework using MEG neural synchrony to distinguish combat-related PTSD from trauma-exposed controls. Support vector machine (SVM) was used as the core classification algorithm. A recursive random forest feature selection step was directly incorporated in the nested SVM cross validation process (CV-SVM-rRF-FS) for identifying the most important features for PTSD classification. For the five frequency bands tested, the CV-SVM-rRF-FS analysis selected the minimum numbers of edges per frequency that could serve as a PTSD signature and be used as the basis for SVM modelling. Many of the selected edges have been reported previously to be core in PTSD pathophysiology, with frequency-specific patterns also observed. Furthermore, the independent partial least squares discriminant analysis suggested low bias in the machine learning process. The final SVM models built with selected features showed excellent PTSD classification performance (area-under-curve value up to 0.9). Testament to its robustness when distinguishing individuals from a heavily traumatised control group, these developments for a classification model for PTSD also provide a comprehensive machine learning-based computational framework for classifying other mental health challenges using MEG connectome profiles.
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Giupponi G, Thoma H, Lamis D, Forte A, Pompili M, Kapfhammer HP. Posttraumatic stress reactions of underground drivers after suicides by jumping to arriving trains; feasibility of an early stepped care outpatient intervention. J Trauma Dissociation 2019; 20:495-510. [PMID: 30963791 DOI: 10.1080/15299732.2019.1597810] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Objective: Underground drivers face a considerable risk of running over suicide jumpers on the tracks during their career. These traumatic exposures may lead to major psychological sequelae. Methods: Within an outpatient setting, 50 drivers were consecutively enrolled in a prospective non-controlled trial. A low-intensity, stepped-care approach included: emergency care immediately after the critical accident, comprehensive assessment with a structured clinical interview using the following scales within three days: Composite International Diagnostic Interview (CIDI), Impact of Event Scale (IES), Screening for Somatoform Disorders (SOMS), and Cologne Trauma Inventory (KTI). Results: During a 2-year period, 50 subway drivers were exposed to 66 serious critical accidents (deaths: 39, severe injuries: 27). Rate of acute stress reactions was 48%; rate of acute stress disorders was 30%. Scores of IES and SOMS were significantly increased correspondingly. At 1-month follow-up, PTSD was diagnosed in 24 (ICD-10) and in 9 drivers (DSM-IV), respectively. Major depression (n = 15) and somatoform disorder (n = 10) were diagnosed as coexistent to PTSD. Acute stress reaction/acute stress disorder, IES- and SOMS-scores, and previous traumatic exposures during adulthood, but not during childhood, were significantly associated with the risk of PTSD. A majority of drivers (n = 43) succeeded in reaching complete symptomatic remission and returning to work again within a 6-month period. Seven drivers suffered from long-lasting posttraumatic symptoms causing severe social impairment. Conclusions: A low-intensity, outpatient stepped-care approach may provide support to traumatized underground drivers in their process of posttraumatic remission and recovery.
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Affiliation(s)
| | - Heike Thoma
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians University , Munich , Germany
| | - Dorian Lamis
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine , Atlanta , Georgia , USA
| | - Alberto Forte
- Department of Neuroscience, Mental Health and Sensory Organs, Suicide Prevention Center, Sant'Andrea Hospital, Sapienza University of Rome , Rome , Italy
| | - Maurizio Pompili
- Department of Neuroscience, Mental Health and Sensory Organs, Suicide Prevention Center, Sant'Andrea Hospital, Sapienza University of Rome , Rome , Italy
| | - Hans-Peter Kapfhammer
- Department of Psychiatry and Psychotherapeutic, Medical University Graz , Graz , Austria
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Prediction of Possible Biomarkers and Novel Pathways Conferring Risk to Post-Traumatic Stress Disorder. PLoS One 2016; 11:e0168404. [PMID: 27997584 PMCID: PMC5172609 DOI: 10.1371/journal.pone.0168404] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Accepted: 11/29/2016] [Indexed: 02/02/2023] Open
Abstract
Post-traumatic stress disorder is one of the common mental ailments that is triggered by exposure to traumatic events. Till date, the molecular factors conferring risk to the development of PTSD is not well understood. In this study, we have conducted a meta-analysis followed by hierarchical clustering and functional enrichment, to uncover the potential molecular networks and critical genes which play an important role in PTSD. Two datasets of expression profiles from Peripheral Blood Mononuclear Cells from 62 control samples and 63 PTSD samples were included in our study. In PTSD samples of GSE860 dataset, we identified 26 genes informative when compared with Post-deploy PTSD condition and 58 genes informative when compared with Pre-deploy and Post-deploy PTSD of GSE63878 dataset. We conducted the meta-analysis using Fisher, roP, Stouffer, AW, SR, PR and RP methods in MetaDE package. Results from the rOP method of MetaDE package showed that among these genes, the following showed significant changes including, OR2B6, SOX21, MOBP, IL15, PTPRK, PPBPP2 and SEC14L5. Gene ontology analysis revealed enrichment of these significant PTSD-related genes for cell proliferation, DNA damage and repair (p-value ≤ 0.05). Furthermore, interaction network analysis was performed on these 7 significant genes. This analysis revealed highly connected functional interaction networks with two candidate genes, IL15 and SEC14L5 highly enriched in networks. Overall, from these results, we concluded that these genes can be recommended as some of the potential targets for PTSD.
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Feng D, Guo B, Liu G, Wang B, Wang W, Gao G, Qin H, Wu S. FGF2 alleviates PTSD symptoms in rats by restoring GLAST function in astrocytes via the JAK/STAT pathway. Eur Neuropsychopharmacol 2015; 25:1287-99. [PMID: 25979764 DOI: 10.1016/j.euroneuro.2015.04.020] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2015] [Revised: 04/06/2015] [Accepted: 04/24/2015] [Indexed: 12/18/2022]
Abstract
In our previous study, we demonstrated that fibroblast growth factor 2 (FGF2) administration alleviated posttraumatic stress disorder (PTSD) symptoms via an "astrocyte-related" mechanism. We further investigated the changes in the astrocytic glutamate transporters GLAST and GLT-1 and in JAK/STAT3 signaling (which is involved in astrocyte activation and GLAST/GLT-1 function) in single prolonged stress (SPS) model rats. High-performance liquid chromatography (HPLC), Western blot and immunohistochemistry analyses revealed a significant SPS-induced increase in the concentration of glutamate in the cerebrospinal fluid and decrease in GLAST/GLT-1 expression and JAK/STAT3 signaling. Treatment with FGF2 significantly alleviated GLAST/GLT-1 dysfunction, JAK/STAT3 signaling inhibition, and the behavioral abnormalities. The administration of the JAK/STAT pathway inhibitor AG490 blocked the effects of FGF2 on PTSD symptoms, astrocyte activation, and GLAST, but not GLT-1, expression in vivo and in vitro. Our findings suggest that astrocytic JAK/STAT signaling is associated with SPS-induced GLAST dysfunction and that FGF2 protects against PTSD symptoms by restoring astrocytic glutamate uptake via the JAK/STAT signaling pathway.
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Affiliation(s)
- Dayun Feng
- Department of Neurobiology and Collaborative Innovation Center for Brain Science, Fourth Military Medical University, Xi'an 710032, PR China; Department of Neurosurgery and Institute for Functional Brain Disorders, Tangdu Hospital, Fourth Military Medical University, Xi'an 710032, PR China
| | - Baolin Guo
- Department of Neurobiology and Collaborative Innovation Center for Brain Science, Fourth Military Medical University, Xi'an 710032, PR China
| | - Gaohua Liu
- Department of Psychosomatics, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, PR China
| | - Bao Wang
- Department of Neurosurgery and Institute for Functional Brain Disorders, Tangdu Hospital, Fourth Military Medical University, Xi'an 710032, PR China
| | - Wen Wang
- Department of Neurobiology and Collaborative Innovation Center for Brain Science, Fourth Military Medical University, Xi'an 710032, PR China
| | - Guodong Gao
- Department of Neurosurgery and Institute for Functional Brain Disorders, Tangdu Hospital, Fourth Military Medical University, Xi'an 710032, PR China
| | - Huaizhou Qin
- Department of Neurosurgery and Institute for Functional Brain Disorders, Tangdu Hospital, Fourth Military Medical University, Xi'an 710032, PR China.
| | - Shengxi Wu
- Department of Neurobiology and Collaborative Innovation Center for Brain Science, Fourth Military Medical University, Xi'an 710032, PR China.
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