Supplemental Material for Posttraumatic Stress Symptom Change After Family Involvement in Veterans’ Mental Health Care

2017 ◽  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Posttraumatic Stress ◽  
Family Involvement ◽  
Symptom Change ◽  
Posttraumatic Stress Symptom ◽  
Stress Symptom

Posttraumatic stress symptom change after family involvement in veterans’ mental health care.

2018 ◽  
Vol 15 (4) ◽  
pp. 520-528 ◽  
Author(s):  
Holly B. Laws ◽  
Shirley M. Glynn ◽  
Susan J. McCutcheon ◽  
Theresa M. Schmitz ◽  
Rani Hoff
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Posttraumatic Stress ◽  
Family Involvement ◽  
Symptom Change ◽  
Posttraumatic Stress Symptom ◽  
Stress Symptom

scholarly journals Mental Health Self-Stigma of Syrian Refugees With Posttraumatic Stress Symptoms: Investigating Sociodemographic and Psychopathological Correlates

2021 ◽  
Vol 12 ◽  
Author(s):  
Jonathan Bär ◽  
Alexander Pabst ◽  
Susanne Röhr ◽  
Melanie Luppa ◽  
Anna Renner ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Posttraumatic Stress ◽  
Short Form ◽  
Linear Regression Analysis ◽  
Posttraumatic Stress Symptoms ◽  
Syrian Refugees ◽  
Internalized Stigma ◽  
Stress Symptoms

Background: The high prevalence of mental disorders related to posttraumatic stress among Syrian refugees is often in contrast with their low utilization of mental health care in the host countries. Mental health self-stigma, i.e., internalized stigma of having a mental disorder, could prevent individuals from seeking mental health care. Therefore, we aimed to provide evidence on different aspects of mental health self-stigmatization among adult Syrian refugees with posttraumatic stress symptoms residing in Germany. Moreover, we investigated associations with sociodemographic and psychopathological variables in order to identify those at higher risk of self-stigmatization.Material and Methods: Overall, 133 participants with mild to moderate posttraumatic stress symptoms were recruited in the metropolitan areas of Leipzig, Dresden and Halle, Germany, using a multimodal approach. Mental health self-stigma was assessed using the Self-Stigma of Mental Illness Scale – Short Form (SSMIS-SF), consisting of four subscales (Stereotype awareness, Stereotype agreement, Application to self , Harm to self-esteem), each scoring from 5 (low) to 45 (high) points. Linear regression analysis was used to test associations of sociodemographic and psychopathological variables with self-stigma subscales.Results: On average, self-stigma ratings ranged from 16.5 (SD = 6.6) points on Application to self to 28.3 (SD = 7.5) points on Stereotype awareness. Results showed higher scores on Application to self for individuals who were younger (t = 2.65, p = 0.009) and single (F = 5.70, p = 0.004). Regression analyses yielded statistically significant associations between having multiple comorbidities and a higher Application to self stigma (β = 0.18, p = 0.044), controlling for sociodemographic covariates.Discussion: Mental health self-stigma was increased among Syrian refugees in Germany. Correlates of increased self-stigma could inform efforts to improve access to mental health care among Syrian refugees with mental ill-health. Longitudinal studies following an intersectional approach by concurrently examining multiple forms of public and internalized stigma could provide helpful insights for developing tailored stigma reduction efforts in this context.

scholarly journals Behind the Scenes of Online Therapeutic Feedback in Blended Therapy for Depression: Mixed-Methods Observational Study (Preprint)

2018 ◽  
Author(s):  
Mayke Mol ◽  
Els Dozeman ◽  
Simon Provoost ◽  
Anneke van Schaik ◽  
Heleen Riper ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Patient Outcomes ◽  
Qualitative Content Analysis ◽  
Online Communication ◽  
Depression Symptom ◽  
Written Feedback ◽  
Symptom Change ◽  
Change Scores

BACKGROUND In Internet-delivered cognitive behavioral therapies (iCBT), written feedback by therapists is a substantial part of therapy. However, it is not yet known how this feedback should be given best and which specific therapist behaviors and content are most beneficial for patients. General instructions for written feedback are available, but the uptake and effectiveness of these instructions in iCBT have not been studied yet. OBJECTIVE This study aimed to identify therapist behaviors in written online communication with patients in blended CBT for adult depression in routine secondary mental health care, to identify the extent to which the therapists adhere to feedback instructions, and to explore whether therapist behaviors and adherence to feedback instructions are associated with patient outcome. METHODS Adults receiving blended CBT (10 online sessions in combination with 5 face-to-face sessions) for depression in routine mental health care were recruited in the context of the European implementation project MasterMind. A qualitative content analysis was used to identify therapist behaviors in online written feedback messages, and a checklist for the feedback instruction adherence of the therapists was developed. Correlations were explored between the therapist behaviors, therapist instruction adherence, and patient outcomes (number of completed online sessions and symptom change scores). RESULTS A total of 45 patients (73%, 33/45 female, mean age 35.9 years) received 219 feedback messages given by 19 therapists (84%, 16/19 female). The most frequently used therapist behaviors were informing, encouraging, and affirming. However, these were not related to patient outcomes. Although infrequently used, confronting was positively correlated with session completion (ρ=.342, P=.02). Therapists adhered to most of the feedback instructions. Only 2 feedback aspects were correlated with session completion: the more therapists adhere to instructions containing structure (limiting to 2 subjects and sending feedback within 3 working days) and readability (short sentences and short paragraphs), the less online sessions were completed (ρ=−.340, P=.02 and ρ=−.361, P=.02, respectively). No associations were found with depression symptom change scores. CONCLUSIONS The therapist behaviors found in this study are comparable to previous research. The findings suggest that online feedback instructions for therapists provide sufficient guidance to communicate in a supportive and positive manner with patients. However, the instructions might be improved by adding more therapeutic techniques besides the focus on style and form.

Integrating Tobacco Cessation Treatment into Mental Health Care for Patients with Posttraumatic Stress Disorder

2006 ◽  
Vol 15 (5) ◽  
pp. 336-344 ◽  
Author(s):  
Miles McFall ◽  
David C. Atkins ◽  
Dan Yoshimoto ◽  
Charles E. Thompson ◽  
Evan Kanter ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Posttraumatic Stress Disorder ◽  
Mental Health Care ◽  
Posttraumatic Stress ◽  
Tobacco Cessation ◽  
Stress Disorder ◽  
Cessation Treatment

Preliminary findings for a brief posttraumatic stress intervention in primary mental health care.

2014 ◽  
Vol 11 (3) ◽  
pp. 295-299 ◽  
Author(s):  
A. Lisa Harmon ◽  
Elizabeth S. R. Goldstein ◽  
Brian Shiner ◽  
Bradley V. Watts
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Posttraumatic Stress ◽  
Primary Mental Health Care ◽  
Stress Intervention

Predicting Posttraumatic Stress Symptom Prevalence and Local Distribution after an Earthquake with Scarce Data

2017 ◽  
Vol 32 (4) ◽  
pp. 357-367 ◽  
Author(s):  
Francisca Dussaillant ◽  
Mauricio Apablaza
Keyword(s):  
Mental Health ◽  
Posttraumatic Stress ◽  
Local Distribution ◽  
Posttraumatic Stress Symptom ◽  
Publication Type ◽  
Predictive Capacity ◽  
Ground Acceleration ◽  
Stress Symptom ◽  
Symptom Prevalence ◽  
Scarce Data

AbstractBackgroundAfter a major earthquake, the assignment of scarce mental health emergency personnel to different geographic areas is crucial to the effective management of the crisis. The scarce information that is available in the aftermath of a disaster may be valuable in helping predict where are the populations that are in most need.ObjectiveThe objectives of this study were to derive algorithms to predict posttraumatic stress (PTS) symptom prevalence and local distribution after an earthquake and to test whether there are algorithms that require few input data and are still reasonably predictive.MethodsA rich database of PTS symptoms, informed after Chile’s 2010 earthquake and tsunami, was used. Several model specifications for the mean and centiles of the distribution of PTS symptoms, together with posttraumatic stress disorder (PTSD) prevalence, were estimated via linear and quantile regressions. The models varied in the set of covariates included.ResultsAdjusted R2 for the most liberal specifications (in terms of numbers of covariates included) ranged from 0.62 to 0.74, depending on the outcome. When only including peak ground acceleration (PGA), poverty rate, and household damage in linear and quadratic form, predictive capacity was still good (adjusted R2 from 0.59 to 0.67 were obtained).ConclusionsInformation about local poverty, household damage, and PGA can be used as an aid to predict PTS symptom prevalence and local distribution after an earthquake. This can be of help to improve the assignment of mental health personnel to the affected localities.DussaillantF, ApablazaM. Predicting posttraumatic stress symptom prevalence and local distribution after an earthquake with scarce data. Prehosp Disaster Med. 2017;32(4):357–367.

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