Community Outbreak of Pseudomonas aeruginosa Infections Associated with Contaminated Piercing Aftercare Solution, Australia, 2021.

In April 2021, the South Eastern Sydney Local Health District Public Health Unit (Sydney, New South Wales, Australia) was notified of 3 patients with Pseudomonas aeruginosa infections secondary to skin piercings performed at the same salon. Active case finding through laboratories, clinician alerts, and monitoring hospital visits for piercing-related infections identified additional cases across New South Wales, and consumers were alerted. We identified 13 confirmed and 40 probable case-patients and linked clinical isolates by genomic sequencing. Ten confirmed case-patients had used the same brand and batch of aftercare solution. We isolated P. aeruginosa from opened and unopened bottles of this solution batch that matched the outbreak strain identified by genomic sequencing. Piercing-related infections returned to baseline levels after this solution batch was recalled. Early outbreak detection and source attribution via genomic sequencing are crucial for controlling outbreaks linked to contaminated products. Manufacturing standards for nonsterile cosmetic products and guidance for piercing aftercare warrant review.

Legionella pneumophila serogroup 1 infection associated with the use of an apartment building spa pool.

Background: Legionnaires' disease is a notifiable condition in New South Wales (NSW), Australia; clinicians and laboratories are required to report the disease to NSW Health. We describe the investigation of a sporadic case associated with the use of a communal spa pool in the case's apartment building complex and the use of whole genome sequencing to examine relatedness between clinical and environmental Legionella pneumophila serogroup 1 (Lp1) strains. Methods: In February 2018, a confirmed case of Lp1 infection was notified in a man in his 60s hospitalised with pneumonia. We asked the clinical team to obtain sputum in the event we found a potential source. The case described the use of the communal spa pool in his apartment building on two occasions during the putative exposure period. Environmental Health Officers from the Public Health Unit inspected the spa pool and found that the free chlorine level was well below the recommended concentration; a water sample was submitted for microbial analysis. Results: Lp1 was grown from the case's sputum and microbial analysis of the spa water sample found Lp1 at a concentration of 20 CFU/mL. The human and environmental isolates were subjected to whole genome sequencing and found to be highly genomically related. There was no other plausible environmental source of legionella. Conclusions: Whole genome sequencing of the clinical and environmental Lp1 isolates implicated a contaminated spa pool as the source of the case's exposure. This strongly supports the application of whole genome sequencing to the investigation of single cases of legionellosis. Communal spa pools in apartment buildings are not regulated in most Australian jurisdictions but must be considered to pose a potential legionella risk if improperly maintained.

Using a computerised database (REDCap) to monitor influenza vaccination coverage of healthcare workers and staff in South Eastern Sydney Local Health District.

Objective New South Wales (NSW) experienced a severe influenza season in 2017. In 2018, NSW Health implemented a campaign to improve healthcare worker (HCW) influenza vaccination coverage. The South Eastern Sydney Local Health District (LHD) trialled a centralised online database to monitor HCW uptake of the vaccination. This paper outlines how the monitoring system was chosen and developed, the process of implementation and the effectiveness of the system in this setting. Methods A literature review was conducted to identify an appropriate database. Stakeholder working groups took place across the LHD regarding implementation. An online vaccination consent form was developed and installed on the LHD network within 2 weeks. Administrative staff ensured timely entry of HCW data and vaccination status and analysis of uptake using Microsoft Excel. Results REDCap (Vanderbilt University, Nashville, TN, USA) was identified as the most appropriate web-based platform based on the ease of developing a secure and inexpensive data collection tool in a short time period. In all, 10064 employees were recorded in REDCap as having received the influenza vaccine. Customised REDCap reports allowed managers to follow up staff yet to receive their vaccination, which resulted in further vaccinations. Conclusions REDCap was successfully used as a data collection tool to track the influenza vaccination rates of staff. The data assisted the District Workforce Services in ensuring that facilities complied with NSW Health policy. This study highlights how REDCap may be used by similar organisations to monitor influenza vaccination of HCWs. What is known about the topic? There is increasing recognition of the need to ensure high-quality monitoring of HCW influenza vaccination rates, yet coverage is often difficult to measure accurately due to a lack of centralised reporting and monitoring systems. What does this paper add? This paper outlines how a computerised database (REDCap) was used by a NSW Health jurisdiction to monitor a vaccination program. REDCap is an inexpensive and easy to use system that allowed public health authorities rapid analysis of HCW vaccination coverage rates. What are the implications for practitioners? The findings add to the growing body of evidence demonstrating the utility of online systems for monitoring HCW influenza vaccinations. These results will be relevant to healthcare organisations and public health practitioners seeking quick and feasible research and data collection platforms.

Hepatitis C enhanced surveillance: results from a southeastern Sydney pilot program.

AIM: Hepatitis C virus (HCV) is a potentially serious bloodborne virus, which persists in the majority of those infected. Long-term sequelae include liver cirrhosis, liver cancer and premature death. Early identification of newly acquired infection is important for protection of public health. Routine surveillance based on laboratory notification of HCV infection is not sufficient to differentiate between newly acquired and chronic infections. Enhanced surveillance systems have been trialled globally in a number of settings. This pilot program aimed to increase identification of newly acquired HCV cases in southeastern Sydney residents and to ascertain the likely mode of transmission. METHODS: All HCV notifications in southeastern Sydney residents with specimen dates from 1 July to 31 December 2012 were included in a pilot program. Demographic data, Australian Indigenous identification and previous laboratory results were collected from electronic medical records, where available. Enhanced surveillance forms were sent to referring doctors to seek information about clinical symptoms and previous hepatitis C pathology. Data were collated to assess, according to Australian national case definitions, whether cases were newly acquired or not, or were unable to be determined on the available information. RESULTS: There were 104 notifications of HCV infection during the surveillance period. Forms were sent to 100 requesting doctors, with 72 forms returned. Six newly acquired cases were identified, a rate of 8%, compared with 1-3% classified by routine surveillance. Twenty cases (28%) were not newly acquired and the status of 46 (64%) was unable to be determined. Of the six newly acquired cases, sexual transmission was deemed to be the likely route of exposure for four cases, and injecting drug use for the remaining two. CONCLUSIONS: Enhanced surveillance increased the rate of identification of newly acquired infections. However, the process was labour-intensive and the status of most cases was unable to be determined. Since identification of newly acquired cases has an important public health benefit in understanding factors in disease transmission, other approaches should be examined.

Clustering of symptoms of mental disorder in the medium-term following conflict: an epidemiological study in Timor-Leste.

It is important to define subpopulations with mental health and psychosocial reactions in the medium-term following conflict to ensure that an appropriate array of services are provided to meet the diversity of needs. We conducted a latent class analysis (LCA) on epidemiological data drawn from an urban and rural sample of 1221 adults (581 men and 640 women, response 82%) in post-conflict Timor Leste 4 years after the cessation of violence. The prevalence of PTSD was 4.9%; severe distress 4.8%; anger attacks 38.3%; and paranoid-like symptoms 10.9%. The best fitting LCA yielded three classes comprising those with no or minimal symptoms (86%), a class with anger-paranoia (13%) and a comorbid mental disorder class (1.5%) characterized by PTSD (100%) and severe distress (98%). The comorbid mental disorder class had an over-representation of men, the unemployed, residents in the urban area and persons with the greatest exposure to human rights trauma, murder and health stress. The anger-paranoia class experienced moderate levels of trauma and had an over-representation of urban dwellers, women, and those with higher levels of education. The analysis assists in clarifying the populations with mental disorder and adverse psychosocial reactions in need of intervention in the medium-term following conflict.

Trauma exposure, PTSD and psychotic-like symptoms in post-conflict Timor Leste: an epidemiological survey.

BACKGROUND: Studies in developed countries indicate that psychotic-like symptoms are prevalent in the community and are related to trauma exposure and PTSD. No comparable studies have been undertaken in low-income, post-conflict countries. This study aimed to assess the prevalence of psychotic-like symptoms in conflict-affected Timor Leste and to examine whether symptoms were associated with trauma and PTSD. METHODS: The Psychosis Screening Questionnaire and the Harvard Trauma Questionnaire (assessing trauma exposure and PTSD) were administered in an epidemiological survey of 1245 adults (response rate 80.6%) in a rural and an urban setting in Timor Leste. We defined PSQ screen-positive cases as those people reporting at least one psychotic-like symptom (paranoia, hallucinations, strange experiences, thought interference, hypomania). RESULTS: The prevalence of PSQ screen-positive cases was 12 percent and these persons were more disabled. PSQ cases were more likely to reside in the urban area, experienced higher levels of trauma exposure and a greater prevalence of PTSD. PTSD only partially mediated the relationship between trauma exposure and psychotic-like symptoms. CONCLUSIONS: Psychotic-like symptoms may be prevalent in countries exposed to mass conflict. The cultural and contextual meaning of psychotic-like symptoms requires further inquiry in low-income, post-conflict settings such as Timor Leste.

Explosive anger as a response to human rights violations in post-conflict Timor-Leste.

Over several decades, clinicians have documented a pattern of explosive anger amongst survivors of gross human rights violations. Yet there is a dearth of epidemiological research investigating explosive anger in post-conflict countries. In the present study undertaken in Timor-Leste between March and November 2004, we identified an indigenous descriptor for explosive anger, including this index in the East Timor Mental Health Epidemiological Needs Study, a small area total population survey of 1544 adults living in an urban and a rural area. Other measures included indices of past trauma events, post-traumatic stress and general psychological distress, and socio-demographic variables. We found that 38% of the population reached the defined threshold of one attack of explosive anger a month (average=1 episode every 2-3 days). Only a minority of persons with explosive anger reached threshold scores for post-traumatic stress and general psychological distress. High levels of trauma exposure represented the strongest predictor of explosive anger. Latent class analysis identified three sub-groups with explosive anger: young trauma-affected adults living in the capital city who were unemployed; an older group, predominantly men, who had experienced extensive violence, including combat, assault and torture; and a less well characterized group of women. The findings offer support for a sequential model of explosive anger in which experiences of past persecution are compounded by frustrations in the post-conflict environment. The data provide a foundation for exploring further the role of trauma-induced anger in the cycles of violence that are prevalent in post-conflict countries.