A retrospective naturalistic evaluation was undertaken to identify if pre- and post-disaster factors may predict the likelihood of those considered “at risk” of post-traumatic stress disorder (PTSD) entering a post-disaster clinical treatment program.

The intake data of 881 people referred to the program following the Queensland (Australia) natural disasters of 2010-11 was evaluated. Those referred scored >2 on the Primary Care PTSD scale. Assessment included the disaster exposure experience, demographic and clinical information, and measures of coping and resilience. Descriptive analyses and a Classification Tree Analysis (CTA) were undertaken to ascertain which factors may predict treatment participation.

The treatment group (TG) in comparison to the non-treatment group (NTG) were more likely to perceive their life was threatened (85.1% vs 8.1%), less able to cope (67% vs 25.8%) and less resilient (4.2% vs 87.5%). The CTA using all the assessment variables found the Connor-Davidson (2-item scale) (P < 0.001), degree of property damage (P < 0.001), financial losses (P < 0.001), perception their life was threatened (P < 0.001) and insurance claims (P < 0.003) distinguished the TG from the NTG.

The study identified factors that distinguished the TG from the NTG and predicted the likelihood of participation in a post-disaster mental health treatment.

Following the 2010-2011 floods and cyclones that affected 78% of Queensland, Australia, a State-wide mental health response was established. The response plan included a 24-hour access line. This study examines the effectiveness of the mental health screening program conducted via the State-wide health call center (13HEALTH) in 2012.

Callers to the 13HEALTH line were screened to assess the impact of the disaster. The 13HEALTH clinicians administered the Primary Care-Posttraumatic Stress Disorder Scale (PC-PTSD) screening measure. Those scoring more than two on the PC-PTSD Scale were provided information on the emotional impact of disasters and a referral to the post-disaster specialist mental health program (SMHP). For calls related to those under 18, a single-item question assessed behavioral or emotional changes since the natural disasters. Those with identified changes were offered a referral to a post-disaster SMHP.

The study evaluates the relationship between disaster exposure and the likelihood of 13HEALTH callers experiencing physical health concerns and unacknowledged mental health symptoms. The program’s cost for the 12 months of 2012 was assessed using data from the financial contract.

In 2012, there were 205,064 calls to 13HEALTH: 19,708 identified as residing in a flood or cyclone-affected area, 7,315 adults indicated they were personally affected, and 907 scored more than two on the PC-PTSD Scale. Only 700 agreed to a referral to the SMHP. There were 290 children under 18 assessed as at risk; 207 accepted a referral to a SMHP.

Regions that experienced a greater impact from the floods and cyclones were 1.3-2.3 times more likely to report being personally affected by the floods and cyclones. Similarly, these regions had more callers scoring more than two on the PC-PTSD Scale. The total cost of the 13HEALTH program for 2012 was $53,284 (AU) across all age groups.

The 13HEALTH general health post-disaster screening program demonstrates opportunistic screening may assist identification of those with unmet mental health needs. The data indicate an increased likelihood of personal exposure in the more affected regions with an increased risk of unrecognized psychological symptoms as assessed by the PC-PTSD Scale. However, more than 20% declined referral to a SMHP.

Following natural disasters, rural general practitioners (GPs) are expected to undertake several roles, including identifying those experiencing psychological distress and providing evidence-informed mental health care. This paper reports on a collaborative mental health program developed to support a rural GP practice (population <1,500) and a disaster response service.

The program provided specialized disaster mental health care via the placement of a clinician in the GP facility. In collaboration with the GP practice, the program offered opportunistic screening using the Primary Care Posttraumatic Stress Disorder (PTSD) Scale (PC-PTSD) for probable PTSD as the primary measure and the Kessler 6 (K6) as a secondary measure. Those scoring higher than two on the PC-PTSD scale were referred to the mental health clinician (MHC) for further assessment and treatment.

Sixty screening assessments were completed. Fourteen patients (male = 3; female = 11) scored higher than two on the PC-PTSD. The referred group PC-PTSD mean score was 3.14 and K6 mean score of 19. Those not referred had a PC-PTSD mean score = 0.72 and K6 mean score = 7.30. The treatment and non-treatment groups differed significantly (PC-PTSD: P <.00001 and K6: P <.00001). A prior history of trauma exposure was notable in the intervention group. Eight reported a history of domestic violence, seven histories of sexual abuse, five childhood sexual abuse, and eight intimate partner violence (IPV).

A post-disaster integrated GP and mental health program in a rural community can assist in identifying individuals experiencing post-disaster psychological distress using opportunistic psychological screening. The findings indicate that collaborative mental health programs may effectively support rural communities post-disaster.

To identify clusters of patients with post-traumatic stress disorder (PTSD) according to symptom profile and to examine the association of the A1 allele of the D2 dopamine receptor (DRD2) gene with these clusters.

Fifty-seven untreated Caucasian Vietnam veterans with PTSD were administered the General Health Questionnaire-28 (GHQ) and the Mississippi Scale for combat-related PTSD. DRD2 allelic status was determined by PCR.

Subjects with the DRD2 Al allele compared to those without this allele had significantly higher scores on GHQ 2 (anxiety/insomnia), GHQ 3 (social dysfunction) and GHQ 4 (depression). Cluster analysis of the GHQ data identified two primary groups. A high psychopathology cluster (cluster 3), featured by high co-morbid levels of somatic concerns, anxiety/insomnia, social dysfunction and depression, and a low psychopathology cluster (cluster 1), manifested by the reverse pattern. Scores in each of the four GHQ groups were significantly higher in cluster 3 than cluster 1, as was Mississippi Scale PTSD score. DRD2 A1 allele veterans compared to those without this allele were significantly more likely to be found in the high than the low psychopathology cluster group.

DRD2 variants are associated with severe co-morbid psychopathology in PTSD subjects.

Methamphetamine has been consistently associated with positive psychotic symptoms, but little is known about whether the reverse also occurs.

This study determined whether the relationship between methamphetamine use and positive psychotic symptoms is bidirectional over 12 months. The impact of lifetime psychotic disorders and methamphetamine dependence on these relationships was also examined.

A total of 201 regular (at least monthly) primary methamphetamine users were recruited from free needle and syringe programmes in three Australian cities. Data on the frequency of methamphetamine and other drug use (from Timeline Followback inteviews) and the severity of positive psychotic symptoms (using the Brief Psychiatric Rating Scale) in the past 2 weeks were collected in 12 contiguous monthly face-to-face interviews (mean of 9.14/11 (s.d. = 3.16) follow-ups completed). Diagnoses were derived using the Psychiatric Research Interview for DSM-IV Substance and Mental Disorders.

The mean age of participants was 31.71 years (s.d. = 8.19) and 39% (n = 77) were women. At baseline 55% (n = 110) were dependent on methamphetamine and 51% (n = 102) had a lifetime psychotic disorder. Cross-lagged dynamic panel models found a significant bidirectional relationship between psychotic symptoms and methamphetamine use (Comparative Fit Index (CFI) = 0.94, standardised root mean square residual (SRMR) = 0.05, root mean square error of approximation (RMSEA) = 0.05, 95% CI 0.04–0.06). The magnitude of the relationship in each direction was similar, and the presence of methamphetamine dependence or a lifetime psychotic disorder did not have an impact on results.

A dynamic, bidirectional relationship between methamphetamine and psychotic symptoms of similar magnitude in each direction was found over 1 year. This suggests integrated treatments that target methamphetamine, psychotic symptoms and their interrelationship may be of most benefit.