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Guichard L, An X, Neylan TC, Clifford GD, Li Q, Ji Y, Macchio L, Baker J, Beaudoin FL, Jovanovic T, Linnstaedt SD, Germine LT, Bollen KA, Rauch SL, Haran JP, Storrow AB, Lewandowski C, Musey PI, Hendry PL, Sheikh S, Jones CW, Punches BE, Swor RA, Gentile NT, Pascual JL, Seamon MJ, Datner EM, Pearson C, Peak DA, Merchant RC, Domeier RM, Rathlev NK, O'Neil BJ, Sergot P, Sanchez LD, Bruce SE, Sheridan JF, Harte SE, Ressler KJ, Koenen KC, Kessler RC, McLean SA. Heart rate variability wrist-wearable biomarkers identify adverse posttraumatic neuropsychiatric sequelae after traumatic stress exposure. Psychiatry Res 2024; 342:116260. [PMID: 39549594 PMCID: PMC11617258 DOI: 10.1016/j.psychres.2024.116260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 10/15/2024] [Accepted: 11/05/2024] [Indexed: 11/18/2024]
Abstract
Adverse posttraumatic neuropsychiatric sequelae (APNS) are common after traumatic events. We examined whether wrist-wearable devices could provide heart rate variability (HRV) biomarkers for recovery after traumatic stress exposure in a large socioeconomically disadvantaged cohort. Participants were enrolled in the emergency department within 72 hours after a traumatic event as part of the AURORA (Advancing Understanding of RecOvery afteR traumA) multicenter prospective observational cohort study and followed over 6 months. HRV biomarkers were derived and validated for associations with specific APNS symptoms at a point in time and changes in symptom severity over time. Sixty-four HRV characteristics were derived and validated as cross-sectional biomarkers of APNS symptoms, including pain (26), re-experiencing (8), somatic (7), avoidance (7), concentration difficulty (6), hyperarousal (5), nightmares (1), anxiety (1), and sleep disturbance (3). Changes in 22 HRV characteristics were derived and validated as biomarkers identifying changes in APNS symptoms, including reexperiencing (11), somatic (3), avoidance (2), concentration difficulty (1), hyperarousal (1), and sleep disturbance (4). Changes in HRV variables over time predicted symptom improvement (PPV 0.68-0.87) and symptom worsening (NPV 0.71-0.90). HRV biomarkers collected from wrist-wearable devices may have utility as screening tools for APNS symptoms that occur after traumatic stress exposure in high-risk populations.
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Affiliation(s)
- Lauriane Guichard
- Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA.
| | - Xinming An
- Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA
| | - Thomas C Neylan
- Departments of Psychiatry and Neurology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Gari D Clifford
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, 30332, USA; Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, 30332, USA
| | - Qiao Li
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, 30332, USA
| | - Yinyao Ji
- Institute for Trauma Recovery, Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA
| | - Lindsay Macchio
- Institute for Trauma Recovery, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA
| | - Justin Baker
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, 02478, USA; Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA, 02478, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
| | - Francesca L Beaudoin
- Department of Epidemiology, Brown University, Providence, RI, 02930, USA; Department of Emergency Medicine, Brown University, Providence, RI, 02930, USA
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, 48202, USA
| | - Sarah D Linnstaedt
- Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA
| | - Laura T Germine
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, 02478, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA; The Many Brains Project, Belmont, MA, 02478, USA
| | - Kenneth A Bollen
- Department of Psychology and Neuroscience & Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA
| | - Scott L Rauch
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, 02478, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA; Department of Psychiatry, McLean Hospital, Belmont, MA, 02478, USA
| | - John P Haran
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA, 01655, USA
| | - Alan B Storrow
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | | | - Paul I Musey
- Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Phyllis L Hendry
- Department of Emergency Medicine, University of Florida College of Medicine -Jacksonville, Jacksonville, FL, 32209, USA
| | - Sophia Sheikh
- Department of Emergency Medicine, University of Florida College of Medicine -Jacksonville, Jacksonville, FL, 32209, USA
| | - Christopher W Jones
- Department of Emergency Medicine, Cooper Medical School of Rowan University, Camden, NJ, 08103, USA
| | - Brittany E Punches
- Department of Emergency Medicine, Ohio State University College of Medicine, Columbus, OH, 43210, USA; Ohio State University College of Nursing, Columbus, OH, 43210, USA
| | - Robert A Swor
- Department of Emergency Medicine, Oakland University William Beaumont School of Medicine, Rochester, MI, 48309, USA
| | - Nina T Gentile
- Department of Emergency Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, 19121, USA
| | - Jose L Pascual
- Department of Surgery, Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, 19104, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Mark J Seamon
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; Department of Surgery, Division of Traumatology, Surgical Critical Care and Emergency Surgery, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Elizabeth M Datner
- Department of Emergency Medicine, Jefferson Einstein hospital, Jefferson Health, Philadelphia, PA, 19141, USA; Department of Emergency Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, 19107, USA
| | - Claire Pearson
- Department of Emergency Medicine, Wayne State University, Ascension St. John Hospital, Detroit, MI, 48202, USA
| | - David A Peak
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Roland C Merchant
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Robert M Domeier
- Department of Emergency Medicine, Trinity Health-Ann Arbor, Ypsilanti, MI, 48197, USA
| | - Niels K Rathlev
- Department of Emergency Medicine, University of Massachusetts Medical School-Baystate, Springfield, MA, 01107, USA
| | - Brian J O'Neil
- Department of Emergency Medicine, Wayne State University, Detroit Receiving Hospital, Detroit, MI, 48202, USA
| | - Paulina Sergot
- Department of Emergency Medicine, McGovern Medical School at UTHealth, Houston, TX, 77030, USA
| | - Leon D Sanchez
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA; Department of Emergency Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Steven E Bruce
- Department of Psychological Sciences, University of Missouri - St. Louis, St. Louis, MO, 63121, USA
| | - John F Sheridan
- Division of Biosciences, Ohio State University College of Dentistry, Columbus, OH, 43210, USA; Institute for Behavioral Medicine Research, OSU Wexner Medical Center, Columbus, OH, 43211, USA
| | - Steven E Harte
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA; Department of Internal Medicine-Rheumatology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Kerry J Ressler
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA; Division of Depression and Anxiety, McLean Hospital, Belmont, MA, 02478, USA
| | - Karestan C Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, 02115, USA
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, 02115, USA
| | - Samuel A McLean
- Institute for Trauma Recovery, Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA; Department of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA
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Lai DWL, Ou X, Lee VWP, Yan ECW, Li JJ, Liu EH, Yu W. Exposure to Violence in Social Unrest, Resilience, and Mental Health of Older People in Hong Kong. Am J Geriatr Psychiatry 2023; 31:1091-1099. [PMID: 37821299 DOI: 10.1016/j.jagp.2023.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 08/31/2023] [Accepted: 09/08/2023] [Indexed: 10/13/2023]
Abstract
OBJECTIVE Older adults are prone to the negative effects of exposure to violence on their mental health. This study aimed to examine the impact of exposure to violence during social unrest and the role of resilience in the mental health of older people. DESIGN A total of 1,203 people aged 65 years or older were randomly selected for a telephone survey using the random digit dialing numbering method in Hong Kong. MEASUREMENTS A 13-item scale was developed to measure exposure to violence. The Chinese versions of the Connor-Davidson Resilience Scale and the Startle, Physiological Arousal, Anger, and Numbness scales for measuring mental health status were adopted in the survey. RESULTS The results showed that the more frequently older people were exposed to information, the more negative mental health status they had. However, exposure to witnessing and experiencing violence was not significantly associated with mental health status. Older adults' level of resilience had a moderating effect between exposure to information and mental health, whereas the effect of exposure to information on mental health was stronger for respondents with lower resilience. CONCLUSION This study showed that emotional problems caused by exposure to related information among older people should be properly addressed during massive social unrest and conflict. Their resilience capacity is an important moderating factor. Future interventions and support services should focus on enhancing the resilience of older people to better equip them with overcoming problems related to macro-social issues.
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Affiliation(s)
- Daniel W L Lai
- Faculty of Social Sciences (DWLL, EHL), Hong Kong Baptist University, Hong Kong, China
| | - Xiaoting Ou
- Department of Sport, Physical Education and Health (XO), Hong Kong Baptist University, Hong Kong, China.
| | - Vincent W P Lee
- Department of Social Work (VWPL, WY), Hong Kong Baptist University, Hong Kong, China
| | - Elsie C W Yan
- Department of Applied Social Sciences (ECWY), The Hong Kong Polytechnic University, Hong Kong, China
| | - Jessica J Li
- Department of Social Work (JJL), The Chinese University of Hong Kong, Hong Kong, China
| | - Emma H Liu
- Faculty of Social Sciences (DWLL, EHL), Hong Kong Baptist University, Hong Kong, China
| | - Wenqing Yu
- Department of Social Work (VWPL, WY), Hong Kong Baptist University, Hong Kong, China
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Chan H, Erdelyi S, Jiang A, McLeod C, Koehoorn M, Brubacher JR. Did implementation of no-fault auto-insurance in British Columbia, Canada, impact return to work following road trauma? Protocol for a before-after survival analysis. BMJ Open 2023; 13:e075858. [PMID: 37739458 PMCID: PMC10533740 DOI: 10.1136/bmjopen-2023-075858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 08/21/2023] [Indexed: 09/24/2023] Open
Abstract
INTRODUCTION Road trauma (RT) is a major public health problem that often results in prolonged absenteeism from work. Limited evidence suggests that recovery after RT is associated with automobile insurance compensation schemes. In May 2021, British Columbia, Canada switched from fault-based to no-fault auto-insurance coverage. This manuscript presents the protocol for a planned evaluation of that natural experiment: We will evaluate the impact of changing automobile insurance schemes on return to work following RT. METHODS AND ANALYSIS The evaluation will use a before-after design to analyse auto-insurance claims (1 April 2019 to 30 April 2024) in order to compare recovery of claimants with non-catastrophic injuries who filed claims under the no-fault insurance scheme to that of those who filed claims under the previous system. Claimants will be followed from date of injury until they return to work or have been followed for 6 months (right-censored). We will perform sensitivity analyses to examine the robustness of our findings. First, we will exclude injuries that occurred during the COVID-19 provincial State of Emergency. Second, we will use propensity score methods rather than conventional covariate adjustment to address potential imbalance between characteristics of claimants pre-change and post-change. Finally, as the implementation effect may have a heterogeneous association with time off work, we will use quantile regression with right-censoring at 6 months to model differences in return to work at the 25th, 50th, 75th and 90th percentiles. ETHICS AND DISSEMINATION The study uses de-identified data and is approved by the University of British Columbia Clinical Research Ethics Board (H20-03644). This research is funded by the Insurance Corporation of British Columbia (ICBC). Findings will be published in the peer-reviewed literature and summarised in a report prepared for ICBC. We anticipate that our findings will inform policy decisions in other jurisdictions considering switching to no-fault auto-insurance schemes.
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Affiliation(s)
- Herbert Chan
- Department of Emergency Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Shannon Erdelyi
- Department of Emergency Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Alex Jiang
- Department of Emergency Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Christopher McLeod
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Mieke Koehoorn
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Jeffrey R Brubacher
- Department of Emergency Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
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Jones CW, An X, Ji Y, Liu M, Zeng D, House SL, Beaudoin FL, Stevens JS, Neylan TC, Clifford GD, Jovanovic T, Linnstaedt SD, Germine LT, Bollen KA, Rauch SL, Haran JP, Storrow AB, Lewandowski C, Musey PI, Hendry PL, Sheikh S, Punches BE, Lyons MS, Kurz MC, Swor RA, McGrath ME, Hudak LA, Pascual JL, Seamon MJ, Datner EM, Harris E, Chang AM, Pearson C, Peak DA, Merchant RC, Domeier RM, Rathlev NK, O'Neil BJ, Sergot P, Sanchez LD, Bruce SE, Miller MW, Pietrzak RH, Joormann J, Barch DM, Pizzagalli DA, Sheridan JF, Smoller JW, Harte SE, Elliott JM, Koenen KC, Ressler KJ, Kessler RC, McLean SA. Derivation and Validation of a Brief Emergency Department-Based Prediction Tool for Posttraumatic Stress After Motor Vehicle Collision. Ann Emerg Med 2023; 81:249-261. [PMID: 36328855 PMCID: PMC11181458 DOI: 10.1016/j.annemergmed.2022.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 07/28/2022] [Accepted: 08/04/2022] [Indexed: 11/05/2022]
Abstract
STUDY OBJECTIVE To derive and initially validate a brief bedside clinical decision support tool that identifies emergency department (ED) patients at high risk of substantial, persistent posttraumatic stress symptoms after a motor vehicle collision. METHODS Derivation (n=1,282, 19 ED sites) and validation (n=282, 11 separate ED sites) data were obtained from adults prospectively enrolled in the Advancing Understanding of RecOvery afteR traumA study who were discharged from the ED after motor vehicle collision-related trauma. The primary outcome was substantial posttraumatic stress symptoms at 3 months (Posttraumatic Stress Disorder Checklist for Diagnostic and Statistical Manual of Mental Disorders-5 ≥38). Logistic regression derivation models were evaluated for discriminative ability using the area under the curve and the accuracy of predicted risk probabilities (Brier score). Candidate posttraumatic stress predictors assessed in these models (n=265) spanned a range of sociodemographic, baseline health, peritraumatic, and mechanistic domains. The final model selection was based on performance and ease of administration. RESULTS Significant 3-month posttraumatic stress symptoms were common in the derivation (27%) and validation (26%) cohort. The area under the curve and Brier score of the final 8-question tool were 0.82 and 0.14 in the derivation cohort and 0.76 and 0.17 in the validation cohort. CONCLUSION This simple 8-question tool demonstrates promise to risk-stratify individuals with substantial posttraumatic stress symptoms who are discharged to home after a motor vehicle collision. Both external validation of this instrument, and work to further develop more accurate tools, are needed. Such tools might benefit public health by enabling the conduct of preventive intervention trials and assisting the growing number of EDs that provide services to trauma survivors aimed at promoting psychological recovery.
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Affiliation(s)
- Christopher W Jones
- Department of Emergency Medicine, Cooper Medical School of Rowan University, Camden, NJ
| | - Xinming An
- Department of Anesthesiology, Department of Psychiatry, Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Yinyao Ji
- Department of Biostatistics, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC
| | - Mochuan Liu
- Department of Biostatistics, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC
| | - Donglin Zeng
- Department of Biostatistics, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC
| | - Stacey L House
- Department of Emergency Medicine, Washington University School of Medicine, St Louis, MO
| | - Francesca L Beaudoin
- Department of Emergency Medicine and Department of Health Services, Policy, and Practice, The Alpert Medical School of Brown University, Rhode Island Hospital and The Miriam Hospital, Providence, RI
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA
| | - Thomas C Neylan
- Department of Psychiatry and Neurology, University of California San Francisco, San Francisco, CA
| | - Gari D Clifford
- Department of Biomedical Informatics, Emory University School of Medicine and Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI
| | - Sarah D Linnstaedt
- Department of Anesthesiology, Department of Psychiatry, Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Laura T Germine
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA; The Many Brains Project, Belmont, MA; Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Kenneth A Bollen
- Department of Psychology and Neuroscience and Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Scott L Rauch
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA; Department of Psychiatry, Harvard Medical School, Boston, MA; Department of Psychiatry, McLean Hospital, Belmont, MA
| | - John P Haran
- Department of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA
| | - Alan B Storrow
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN
| | | | - Paul I Musey
- Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN
| | - Phyllis L Hendry
- Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN
| | - Sophia Sheikh
- Department of Emergency Medicine, University of Florida College of Medicine -Jacksonville, Jacksonville, FL; Department of Emergency Medicine, University of Cincinnati College of Medicine, and College of Nursing, University of Cincinnati, Cincinnati, OH
| | - Brittany E Punches
- Department of Emergency Medicine, University of Florida College of Medicine -Jacksonville, Jacksonville, FL
| | - Michael S Lyons
- College of Nursing, University of Cincinnati, Cincinnati, OH
| | - Michael C Kurz
- Department of Emergency Medicine, Division of Acute Care Surgery, Department of Surgery, University of Alabama School of Medicine, and Center for Injury Science, University of Alabama at Birmingham, Birmingham, AL
| | - Robert A Swor
- Department of Emergency Medicine, Oakland University William Beaumont School of Medicine, Rochester, MI
| | - Meghan E McGrath
- Department of Emergency Medicine, Boston Medical Center, Boston, MA
| | - Lauren A Hudak
- Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA; Department of Surgery, Department of Neurosurgery, University of Pennsylvania, Pennsylvania, PA
| | - Jose L Pascual
- Department of Surgery, Department of Neurosurgery, University of Pennsylvania, Pennsylvania, PA; Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA
| | - Mark J Seamon
- Division of Traumatology, Department of Surgery, Surgical Critical Care and Emergency Surgery, University of Pennsylvania, Pennsylvania, PA
| | - Elizabeth M Datner
- Department of Emergency Medicine, Einstein Healthcare Network, and the Sidney Kimmel Medical College, Thomas Jefferson University, Pennsylvania, PA
| | | | - Anna M Chang
- Department of Emergency Medicine, Jefferson University Hospitals, Pennsylvania, PA
| | - Claire Pearson
- Department of Emergency Medicine, Wayne State University, Ascension St John Hospital, Detroit, MI
| | - David A Peak
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA
| | - Roland C Merchant
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA
| | - Robert M Domeier
- Department of Emergency Medicine, Saint Joseph Mercy Hospital, Ypsilanti, MI
| | - Niels K Rathlev
- Department of Emergency Medicine, University of Massachusetts Medical School-Baystate, Springfield, MA
| | - Brian J O'Neil
- Department of Emergency Medicine, Wayne State University, Detroit Receiving Hospital, Detroit, MI
| | - Paulina Sergot
- Department of Emergency Medicine, McGovern Medical School, University of Texas Health, Houston, TX
| | - Leon D Sanchez
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA; Department of Emergency Medicine, Harvard Medical School, Boston, MA
| | - Steven E Bruce
- Department of Psychological Sciences, University of Missouri - St Louis, St Louis, MO
| | - Mark W Miller
- National Center for PTSD, Behavioral Science Division, VA Boston Healthcare System, and Department of Psychiatry, Boston University School of Medicine, Boston, MA; Clinical Neurosciences Division, National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT
| | | | - Jutta Joormann
- Department of Psychology, Yale School of Medicine, New Haven, CT
| | - Deanna M Barch
- Department of Psychological and Brain Sciences, Washington University in St Louis, St Louis, MO
| | - Diego A Pizzagalli
- Department of Psychiatry, Harvard Medical School, Boston, MA; Division of Depression and Anxiety, McLean Hospital, Belmont, MA
| | - John F Sheridan
- Department of Biosciences, and the Institute for Behavioral Medicine Research, OSU Wexner Medical Center, Columbus, OH
| | - Jordan W Smoller
- Department of Psychiatry, Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, and Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA
| | - Steven E Harte
- Department of Anesthesiology, and Department of Internal Medicine-Rheumatology, University of Michigan Medical School, Ann Arbor, MI
| | - James M Elliott
- Kolling Institute of Medical Research, University of Sydney, St Leonards, and Faculty of Medicine and Health, University of Sydney, Northern Sydney Local Health District, New South Wales, Australia, and Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Karestan C Koenen
- Department of Epidemiology, Harvard T H Chan School of Public Health, Harvard University, Boston, MA
| | - Kerry J Ressler
- Department of Psychiatry, Harvard Medical School, Boston, MA; Department of Psychological and Brain Sciences, Washington University in St Louis, St Louis, MO
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA
| | - Samuel A McLean
- Departments of Emergency Medicine and Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC.
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Screening tools for predicting posttraumatic stress disorder in acutely injured adult trauma patients: A systematic review. J Trauma Acute Care Surg 2022; 92:e115-e126. [PMID: 34991124 DOI: 10.1097/ta.0000000000003524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Adult trauma patients are at risk of developing posttraumatic stress disorder (PTSD). Early intervention reduces the development of PTSD, but few trauma patients seek and obtain care. Valid and reliable screening tools are needed to identify patients at risk of developing PTSD. The objective of this review is to identify existing screening tools and evaluate their accuracy for predicting PTSD outcomes. METHODS PubMed, PsychInfo, and ClinicalTrials.gov were searched for studies evaluating the predictive accuracy of PTSD screening tools among traumatically injured adult civilians. Eligible studies assessed patients during acute hospitalization and at least 1 month following injury to measure PTSD outcome. Eligible outcomes included measures of predictive accuracy, such as sensitivity and specificity. The Quality Assessment of Diagnostic Accuracy Studies 2 tool was used to assess the risk of bias of each study, and the strength of evidence was assessed following the Agency for Healthcare Research and Quality guidelines. RESULTS Forty-nine studies were included evaluating the predictive accuracy of 38 screening tools. Most tools were assessed in a single study. Questionnaire-style tools had more favorable predictive ability than diagnostic interview assessments. The Injured Trauma Survivor Screen, Posttraumatic Adjustment Screen, the PTSD Checklist for DSM-5, and the Richmond et al. tool demonstrated the most favorable predictive accuracy, with high sensitivity (75-100%) and specificity (67-94%). Common sources of bias were selection bias due to high attrition rate and using nondiagnostic tools to assess PTSD symptoms at follow-up. CONCLUSION Although sensitivity and specificity of PTSD predictive tools varied widely, several emerged with favorable predictive accuracy. Further research is needed to define the ability of screening and intervention to prevent PTSD in injured trauma survivors. The results of this review can inform screening tool options for screening programs and future intervention studies. LEVEL OF EVIDENCE Systematic review, level III.
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Brown K, Cameron ID, Keay L, Nguyen H, Dillon L, Jagnoor J, Ivers R. I've got to be independent': views of older people on recovery following road traffic injury in New South Wales, Australia. BMC Public Health 2020; 20:1294. [PMID: 32847576 PMCID: PMC7448973 DOI: 10.1186/s12889-020-09391-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 08/17/2020] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Mild to moderate road traffic injury (RTI) in people of working age is associated with limited recovery. Less is known about RTI recovery in older age. This study explored the perspectives and factors associated with recovery and health-related quality of life following mild to moderate RTI in older age in New South Wales, Australia. METHODS A qualitative study using content analysis was undertaken. Participants aged 65 or more years were purposively selected from a larger inception cohort study of health outcomes following mild to moderate RTI conducted in New South Wales, Australia. Semi-structured interviews were undertaken at approximately 12 or 24 months post-injury. Content analysis was used to code and analyse the data, with methodological rigour obtained by double-coding and discussing findings to reach consensus. Results were reported using the consolidated criteria for reporting qualitative research (COREQ). RESULTS Nineteen participants were invited to participate in the study of which 12 completed interviews. Data saturation was reached at the twelfth interview. Recovery experiences were diverse. Five main themes were identified: recovery is regaining independence; injury and disability in older age; the burden of non-obvious disability; the importance of support; and positive personal approaches. Key facilitators of recovery were: regaining independence; support from family and friends; and positive personal approaches. Key barriers were: threats to independence; passive coping behaviours; non-obvious disabilities (chronic pain, psychological impacts); and reluctance to raise ongoing issues with General Practitioners. Threats to independence, especially not driving and self-care, appeared to have a more profound effect on recovery than physical functioning. CONCLUSION Older people view injury as a threat to independent functioning. This is somewhat different to what younger people report. Regaining independence is key to older people's recovery and health-related quality of life following RTI, and should be a key consideration for health professionals, services and supports working with this unique cohort. Greater efforts to help older people regain their independence following RTI are needed and can be facilitated by health professionals and appropriate service provision. TRIAL REGISTRATION Australia New Zealand clinical trial registry identification number ACTRN12613000889752 .
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Affiliation(s)
- Katherine Brown
- The George Institute for Global Health, UNSW Sydney, PO Box M201, Missenden Rd, Sydney, NSW, 2050, Australia. .,Faculty of Medicine and Health, the University of Sydney, Sydney, NSW, Australia.
| | - Ian D Cameron
- Faculty of Medicine and Health, the University of Sydney, Sydney, NSW, Australia.,John Walsh Centre for Rehabilitation Research, Sydney Medical School Northern, the University of Sydney, Kolling Institute, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Lisa Keay
- The George Institute for Global Health, UNSW Sydney, PO Box M201, Missenden Rd, Sydney, NSW, 2050, Australia.,School of Optometry and Vision Science, UNSW Sydney, Sydney, Australia
| | - Ha Nguyen
- The George Institute for Global Health, UNSW Sydney, PO Box M201, Missenden Rd, Sydney, NSW, 2050, Australia.,Faculty of Medicine and Health, the University of Sydney, Sydney, NSW, Australia.,John Walsh Centre for Rehabilitation Research, Sydney Medical School Northern, the University of Sydney, Kolling Institute, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Lisa Dillon
- The George Institute for Global Health, UNSW Sydney, PO Box M201, Missenden Rd, Sydney, NSW, 2050, Australia.,School of Optometry and Vision Science, UNSW Sydney, Sydney, Australia
| | - Jagnoor Jagnoor
- The George Institute for Global Health, UNSW Sydney, PO Box M201, Missenden Rd, Sydney, NSW, 2050, Australia.,John Walsh Centre for Rehabilitation Research, Sydney Medical School Northern, the University of Sydney, Kolling Institute, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Rebecca Ivers
- The George Institute for Global Health, UNSW Sydney, PO Box M201, Missenden Rd, Sydney, NSW, 2050, Australia.,Faculty of Medicine and Health, the University of Sydney, Sydney, NSW, Australia.,School of Population Health, UNSW Sydney, Sydney, Australia
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Comorbidities, anticoagulants, and geriatric-specific physiology for the field triage of injured older adults. J Trauma Acute Care Surg 2020; 86:829-837. [PMID: 30629015 DOI: 10.1097/ta.0000000000002195] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Comorbid conditions and anticoagulants have been considered as field triage criteria to raise the sensitivity for identifying seriously injured older adults, but research is sparse. We evaluated the utility of comorbidities, anticoagulant use, and geriatric-specific physiologic measures to improve the sensitivity of the field triage guidelines for high-risk older adults in the out-of-hospital setting. METHODS This was a cohort study of injured adults 65 years or older transported by 44 emergency medical services agencies to 51 trauma and nontrauma hospitals in seven Oregon and Washington counties from January 1, 2011, to December 31, 2011. Out-of-hospital predictors included current field triage criteria, 13 comorbidities, preinjury anticoagulant use, and previously developed geriatric specific physiologic measures. The primary outcome (high-risk patients) was Injury Severity Score of 16 or greater or need for major nonorthopedic surgical intervention. We used binary recursive partitioning to develop a clinical decision rule with a target sensitivity of 95% or greater. RESULTS There were 5,021 older adults, of which 320 (6.4%) had Injury Severity Score of 16 or greater or required major nonorthopedic surgery. Of the 2,639 patients with preinjury medication history available, 400 (15.2%) were taking an anticoagulant. Current field triage practices were 36.6% sensitive (95% confidence interval [CI], 31.2%-42.0%) and 90.1% specific (95% CI, 89.2%-91.0%) for high-risk patients. Recursive partitioning identified (in order): any current field triage criteria, Glasgow Coma Scale score of 14 or less, geriatric-specific vital signs, and comorbidity count of 2 or more. Anticoagulant use was not identified as a predictor variable. The new criteria were 90.3% sensitive (95% CI, 86.8%-93.7%) and 17.0% specific (95% CI, 15.8%-18.1%). CONCLUSIONS The current field triage guidelines have poor sensitivity for high-risk older adults. Adding comorbidity information and geriatric-specific physiologic measures improved sensitivity, with a decrement in specificity. LEVEL OF EVIDENCE Prognostic/Epidemiologic, level II.
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Moss J, Roberts MB, Shea L, Jones CW, Kilgannon H, Edmondson DE, Trzeciak S, Roberts BW. Association Between Perceived Threat and the Development of Posttraumatic Stress Disorder Symptoms in Patients With Life-threatening Medical Emergencies. Acad Emerg Med 2020; 27:109-116. [PMID: 31650652 DOI: 10.1111/acem.13877] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 10/05/2019] [Accepted: 10/07/2019] [Indexed: 01/08/2023]
Abstract
BACKGROUND Our objectives were to test whether during a potentially life-threatening medical emergency, perceived threat (a patient's sense of life endangerment) in the emergency department (ED) is common and associated with the subsequent development of posttraumatic stress disorder (PTSD) symptoms. METHODS This study was an ED-based prospective cohort study in an academic hospital. We included adult patients requiring acute intervention in the ED for resuscitation of a potentially life-threatening medical emergency, defined as respiratory or cardiovascular instability. We measured patient-perceived threat in the ED using a validated patient self-assessment measure (score range = 0 to 21, with higher scores indicating greater perceived threat). We performed blinded assessment of PTSD symptoms 30 days after discharge using the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (PCL-5). RESULTS Ninety-nine of 113 (88%) patients completed follow-up, with 98% reporting some degree of perceived threat, median (interquartile range [IQR]) perceived threat score 12 (6 to 17), and 72% reported PTSD symptoms in relation to their ED visit (median [IQR] PCL-5 score = 7 [0 to 30]). Patients with respiratory instability had higher median (IQR) perceived threat scores (16 [9 to 18] vs. 9 [6 to 14)] and PCL-5 scores (10 [2 to 40] vs. 3 [0 to 17]) compared to patients without respiratory instability. In a multivariable linear regression model adjusting for potential confounders, greater perceived threat in the ED was independently associated with higher PCL-5 scores (β = 0.79, 95% confidence interval [CI] = 0.15 to 1.42). Among the individual perceived threat items, the feeling of helplessness during resuscitation had the strongest association with PCL-5 score (β = 5.24, 95% CI = 2.29 to 8.18). CONCLUSIONS Perceived threat during potentially life-threatening emergencies is common and independently associated with development of PTSD symptoms. Additional research to test whether reduction of perceived threat in the ED attenuates the development of PTSD symptoms following potentially life-threatening emergencies is warranted.
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Affiliation(s)
- Jeena Moss
- Department of Emergency Medicine Cooper Medical School of Rowan University Camden NJ
| | - Michael B. Roberts
- Institutional Research and Outcomes Assessment Philadelphia College of Osteopathic Medicine Philadelphia PA
| | - Lisa Shea
- Department of Emergency Medicine Cooper Medical School of Rowan University Camden NJ
| | - Christopher W. Jones
- Department of Emergency Medicine Cooper Medical School of Rowan University Camden NJ
| | - Hope Kilgannon
- Department of Emergency Medicine Cooper Medical School of Rowan University Camden NJ
| | | | - Stephen Trzeciak
- Department of Medicine Cooper University Health CareCooper Medical School of Rowan UniversityCamdenNJ
- Center for Humanism Cooper Medical School of Rowan University Camden NJ
| | - Brian W. Roberts
- Department of Emergency Medicine Cooper Medical School of Rowan University Camden NJ
- Center for Humanism Cooper Medical School of Rowan University Camden NJ
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Giummarra MJ, Lau G, Grant G, Gabbe BJ. A systematic review of the association between fault or blame-related attributions and procedures after transport injury and health and work-related outcomes. ACCIDENT; ANALYSIS AND PREVENTION 2020; 135:105333. [PMID: 31863937 DOI: 10.1016/j.aap.2019.105333] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 06/07/2019] [Accepted: 10/15/2019] [Indexed: 06/10/2023]
Abstract
Attributions of fault are often associated with worse injury outcomes; however, the consistency and magnitude of these impacts is not known. This review examined the prognostic role of fault on health, mental health, pain and work outcomes after transport injury. A systematic search of five electronic databases (Medline, Embase, CINAHL, PsycINFO, Cochrane Library) yielded 16,324 records published between 2000 and January 2018. Eligibility criteria were: adult transport injury survivors; prospective design; multivariable analysis; fault-related factor analysed; pain, mental health, general health or work-related outcome. Citations (n = 10,558, excluding duplicates) and full text articles (n = 555) were screened manually (Reviewer 1), and using concurrent machine learning and text mining (Reviewer 2; using Abstrackr, WordStat and QDA miner). Data from 55 papers that met all inclusion criteria were extracted, papers were evaluated for risk of bias using the QUIPS tool, and overall level of evidence was assessed using the GRADE tool. There were six main fault-related factors classified as: fault or responsibility, fault-based compensation, lawyer involvement or litigation, blame or guilt, road user or position in vehicle, and impact direction. Overall there were inconsistent associations between fault and transport injury outcomes, and 60% of papers had high risk of bias. There was moderate evidence that fault-based compensation claims were associated with poorer health-related outcomes, and that lawyer involvement was associated with poorer work outcomes beyond 12 months post-injury. However, the evidence of negative associations between fault-based compensation claims and work-related outcomes was limited. Lawyer involvement and fault-based compensation claims were associated with adverse mental health outcomes six months post-injury, but not beyond 12 months. The most consistent associations between fault and negative outcomes were not for fault attributions, per se, but were related to fault-related procedures (e.g., lawyer engagement, fault-based compensation claims).
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Affiliation(s)
- Melita J Giummarra
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Caulfield Pain Management and Research Centre, Caulfield Hospital, Caulfield, VIC, Australia.
| | - Georgina Lau
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Genevieve Grant
- Australian Centre for Justice Innovation and Faculty of Law, Monash University, Clayton, VIC, Australia
| | - Belinda J Gabbe
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Health Data Research UK, Swansea University Medical School, Swansea University, Wales, UK
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Newgard CD, Caughey A, McConnell KJ, Lin A, Eckstrom E, Griffiths D, Malveau S, Bulger E. Comparison of Injured Older Adults Included in vs Excluded From Trauma Registries With 1-Year Follow-up. JAMA Surg 2019; 154:e192279. [PMID: 31290955 DOI: 10.1001/jamasurg.2019.2279] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Importance Trauma registries are the primary data mechanism in trauma systems to evaluate and improve the care of injured patients. Research has suggested that trauma registries may miss high-risk older adults, who commonly experience morbidity and mortality after injury. Objective To compare injured older adults who were included in with those excluded from trauma registries, with a focus on patients with serious injuries, requiring major surgery, or dying after injury. Design, Setting, and Participants This cohort study included all injured adults 65 years and older transported by 44 emergency medical services agencies to 51 trauma and nontrauma centers in 7 counties in Oregon and Washington from January 1, 2011, to December 31, 2011, with follow-up through December 31, 2012. Record linkage was used to match emergency medical services records with state trauma registries, state discharge databases, state death registries, and Medicare claims. Data were analyzed from August to November 2018. Exposures Inclusion in vs exclusion from a trauma registry. Main Outcomes and Measures Mortality up to 12 months, including time to death and causes of death. Results Of 8161 included patients, 5579 (68.4%) were women, and the mean (SE) age was 82.2 (0.10) years. A total of 1720 older adults (21.1%) were matched to a trauma registry record. Seriously injured patients not captured by trauma registries ranged from 18% (7 of 38 patients with abdominal-pelvic Abbreviated Injury Scale score of 3 or greater) to 80.0% (1792 of 2241 patients with extremity Abbreviated Injury Scale score of 3 or greater), while 68 of 186 patients requiring major nonorthopedic surgery (36.6%) and 1809 of 2325 patients requiring orthopedic surgery (77.8%) were not included in trauma registries. Of patients with serious injuries or undergoing major surgery missed by trauma registries (range by injury and procedure type, 36.0% to 57.1%), 36.4% (39.3% when excluding serious extremity injuries and orthopedic procedures) were treated at trauma centers, particularly level III through V hospitals. When registry and nonregistry groups were tracked over 12 months, 93 of 188 in-hospital deaths (49.5%) and 1531 of 1887 total deaths (81.1%) occurred in the nonregistry cohort. Conclusions and Relevance In their current form, trauma registries are ineffective in capturing, tracking, and evaluating injured older adults, although mortality following injury is frequently due to noninjury causes. High-risk injured older adults are not included in registries because of care in nontrauma hospitals, restrictive registry inclusion criteria, and being missed by registries in trauma centers.
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Affiliation(s)
- Craig D Newgard
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Aaron Caughey
- Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland
| | - K John McConnell
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland.,Center for Health Systems Effectiveness, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Amber Lin
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Elizabeth Eckstrom
- Division of Geriatrics, Department of Internal Medicine, Oregon Health & Science University, Portland
| | - Denise Griffiths
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Susan Malveau
- Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland
| | - Eileen Bulger
- Department of Surgery, University of Washington, Seattle
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Lin W, Gong L, Xia M, Dai W. Prevalence of posttraumatic stress disorder among road traffic accident survivors: A PRISMA-compliant meta-analysis. Medicine (Baltimore) 2018; 97:e9693. [PMID: 29505023 PMCID: PMC5779792 DOI: 10.1097/md.0000000000009693] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2017] [Revised: 12/27/2017] [Accepted: 12/28/2017] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Involvement in road traffic accidents (RTAs) may put individuals at increased risk for a wide range of psychiatric disorders, among which posttraumatic stress disorder (PTSD) presents a public health issue. However, a great disparity was observed among studies exploring the prevalence of PTSD among RTA survivors. This meta-analysis aimed to explore the pooled prevalence of PTSD among RTA survivors. METHODS Electronic databases of PubMed, Embase, Web of Science, PsycARTICLES, PsycINFO, and CINAHL were searched to identify relevant studies. Study selection and data extraction were conducted independently by 2 investigators, and a meta-analysis was performed to synthesize the data. Heterogeneity among studies was evaluated using the Cochran Q test and quantified using the I statistic. Subgroup analyses were performed to identify the source of the heterogeneity. The possibility of publication bias was assessed using Egger linear test. RESULTS Fifteen eligible studies containing 6804 RTA survivors were identified in this meta-analysis, of which 1489 were identified with PTSD. The pooled prevalence of PTSD among RTA survivors was 22.25% (95% confidence interval: 16.71%-28.33%). A high degree of heterogeneity was observed across studies (I = 97.1%, P < .001), with reported PTSD prevalence ranging from 6.3% to 58.3%. Subgroup analyses found that the prevalence of PTSD among RTA survivors varied significantly across studies in relation to the instrument used to assess PTSD, country, race, gender, and education level (P < .05). CONCLUSION The high pooled prevalence of PTSD among RTA survivors found in this study significantly underscores the need for providing timely and effective intervention strategies for RTA survivors.
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Affiliation(s)
| | | | | | - Wenjie Dai
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
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Editorial Comment: Predictors of Post-Traumatic Stress Disorder in Acutely Traumatized Older Adults. Am J Geriatr Psychiatry 2017; 25:964-965. [PMID: 28668206 DOI: 10.1016/j.jagp.2017.05.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 05/31/2017] [Indexed: 11/20/2022]
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