Acute Q fever in patients with an influenza-like illness in regional New South Wales, Australia.

INTRODUCTION: Query (Q) fever is a zoonosis caused by the bacterium Coxiella burnetii typically presenting as an influenza-like illness (ILI) with or without hepatitis. The infection may be missed by clinicians in settings of low endemicity, as the presentation is clinically not specific, and there are many more common differential diagnoses for ILI including SARS-CoV-2 infection. METHODS: Residual serum samples were retrospectively tested for Phase 1 and 2 Q fever-specific IgM, IgG, IgA antibodies by indirect immunofluorescence and C. burnetii DNA by polymerase chain reaction. They had not been previously tested for Q fever, originating from undiagnosed patients with probable ILI, aged 10-70 years and living in regional New South Wales, Australia. The results were compared with contemperaneous data on acute Q fever diagnostic tests which had been performed based on clinicians requests from a geographically similar population. RESULTS: Only one (0.2%) instance of missed acute Q fever was identified after testing samples from 542 eligible patients who had probable ILI between 2016-2023. Laboratory data showed that during the same period, 731 samples were tested for acute Q fever for clinician-initiated requests and of those 70 (9.6%) were positive. Probability of being diagnosed with Q fever after a clinician initiated request was similar regardless of the patients sex, age and the calendar year of sampling. CONCLUSION: In this sample, Q fever was most likely to be diagnosed via clinician requested testing rather than by testing of undiagnosed patients with an influenza like illness.

The Medicines Intelligence Data Platform: A Population-Based Data Resource From New South Wales, Australia.

BACKGROUND: The Medicines Intelligence (MedIntel) Data Platform is an anonymised linked data resource designed to generate real-world evidence on prescribed medicine use, effectiveness, safety, costs and cost-effectiveness in Australia. RESULTS: The platform comprises Medicare-eligible people who are ≥18 years and residing in New South Wales (NSW), Australia, any time during 2005-2020, with linked administrative data on dispensed prescription medicines (Pharmaceutical Benefits Scheme), health service use (Medicare Benefits Schedule), emergency department visits (NSW Emergency Department Data Collection), hospitalisations (NSW Admitted Patient Data Collection) plus death (National Death Index) and cancer registrations (NSW Cancer Registry). Data are currently available to 2022, with approval to update the cohort and data collections annually. The platform includes 7.4 million unique people across all years, covering 36.9% of the Australian adult population; the overall population increased from 4.8 M in 2005 to 6.0 M in 2020. As of 1 January 2019 (the last pre-pandemic year), the cohort had a mean age of 48.7 years (51.1% female), with most people (4.4 M, 74.7%) residing in a major city. In 2019, 4.4 M people (73.3%) were dispensed a medicine, 1.2 M (20.5%) were hospitalised, 5.3 M (89.4%) had a GP or specialist appointment, and 54 003 people died. Anti-infectives were the most prevalent medicines dispensed to the cohort in 2019 (43.1%), followed by nervous system (32.2%) and cardiovascular system medicines (30.2%). CONCLUSION: The MedIntel Data Platform creates opportunities for national and international research collaborations and enables us to address contemporary clinically- and policy-relevant research questions about quality use of medicines and health outcomes in Australia and globally.

Respiratory diphtheria in the time of Omicron.

Abstract: Diphtheria is a potentially fatal bacterial infection caused by toxin-producing strains of corynebacteria, most often Corynebacterium diphtheriae and less commonly Corynebacterium ulcerans. Incidence of the disease has fallen significantly since the introduction of vaccination programs; it is now rare in countries with high vaccination coverage such as Australia. This article presents the most recent respiratory cases of diphtheria in two children in New South Wales-the first locally acquired childhood cases in Australia in 30 years-and discusses potential contributing factors. These encompass the lack of clinical awareness and the delays in laboratory diagnosis in regional laboratories. The cases also highlight the problem of vaccine hesitancy and the role that primary carers play in addressing these anxieties. While clinical management of the cases progressed well, factors in the public health responses were complicated by access to appropriate care and by delays in antibiotic sensitivity profiles. The public health response to these cases raises important considerations for clinicians and public health practitioners, including preparedness for rare and re-emerging diseases, the need for culturally safe environments and the importance of addressing vaccine hesitancy. Preparedness requires consideration of the capacity of regional health systems with fewer resources and of how public health departments can support response to multiple crises. Preparedness also relies on access to necessary diagnostic laboratory resources, on up-to-date guidelines, and on maintaining awareness among clinicians for these rare infections.

Investigation of landscape risk factors for the recent spread of varroa mite (Varroa destructor) in European honeybee (Apis mellifera) colonies in New South Wales, Australia.

In June 2022, an exotic pest of the European honeybee (Apis mellifera), the varroa mite (Varroa destructor), was detected in surveillance hives at the Port of Newcastle, New South Wales (NSW). Previously, Australia remained the only continent free of the varroa mite. In September 2023, the National Management Group decided to shift the focus of the response from eradication to management. It is estimated that the establishment of varroa mite in Australia could lead to more than $70 million in losses each year due to greatly reduced pollination services. Currently, there are no reported studies on the epidemiology of varroa mite in NSW because it is such a recent outbreak, and there is little knowledge of the factors associated with the presence of V. destructor in the Australian context. We sourced publicly available varroa mite outbreak reports from June 22 to December 19, 2022, to determine if urbanization, land use, and distance from the incursion site are associated with the detection of varroa mite infestation in European honeybee colonies in NSW. The outcome investigated was epidemic day, relative to the first detected premises (June 22, 2022). The study population was comprised of 107 premises, which were declared varroa-infested. The median epidemic day was day 37 (July 29, 2022), and a bimodal distribution was observed from the epidemic curve, which was reflective of an intermittent source pattern of spread. We found that premises were detected to be infected with varroa mite earlier in urban areas [median epidemic day 25 (July 17, 2022)] compared to rural areas [median epidemic day 37.5 (July 29, 2022)]. Infected premises located in areas without cropping, forests, and irrigation were detected earlier in the outbreak [median epidemic days 23.5 (July 15, 2022), 30 (July 22, 2022), and 15 (July 7, 2022), respectively] compared to areas with cropping, forests, and irrigation [median epidemic days 50 (August 11, 2022), 43 (August 4, 2022), and 47 (August 8, 2022), respectively]. We also found that distance from the incursion site was not significantly correlated with epidemic day. Urbanization and land use are potential factors for the recent spread of varroa mite in European honeybee colonies in NSW. This knowledge is essential to managing the current varroa mite outbreak and preventing future mass varroa mite spread events.

Long-term cohort study of patients presenting with hypercapnic respiratory failure.

OBJECTIVE: We sought to describe the long-term prognosis for a population-based cohort of people with hypercapnic respiratory failure (HRF) and the associations between underlying diagnoses and the risks of death and rehospitalisation. METHODS: We performed a historical cohort study of all persons with HRF in the Liverpool local government area in New South Wales, Australia, in the 3-year period from 2013 to 2015. Cohort members were identified using arterial blood gas results from Liverpool Hospital demonstrating pH ≤7.45 and PaCO2 >45 mm Hg within 24 hours of presentation. Linked health data were obtained from statewide registries with a minimum follow-up period of 6 years. The primary outcomes were time to death from any cause and the standardised mortality ratio (SMR) which compares the observed to the expected number of deaths in the same population. Secondary outcomes were time to rehospitalisation and the associations between death and/or hospitalisation and underlying diagnoses. RESULTS: The cohort comprised 590 adults aged between 15 and 101 years. Overall, 415 (70.3%) participants died in the follow-up period. Among those who survived the index admission, the probability of survival at 1, 3 and 5 years was 81%, 59% and 45%, respectively. The overall SMR was 9.2 (95% CI 7.6 to 11.0), indicating a near 10-fold risk of death than otherwise expected for age. Most (91%) survivors experienced rehospitalisation, with median (IQR) time to readmission of 3.9 (1.2-10.6) months. Congestive cardiac failure and neuromuscular disease were associated with an increased risk of death, whereas chronic obstructive pulmonary disease and sleep disordered breathing increased the risk of rehospitalisation. CONCLUSIONS: HRF is associated with poor survival and high risk of rehospitalisation in the 5 years following an index event. The underlying disease appears to have some influence on overall survival and subsequent hospitalisations.

Low HIV drug resistance prevalence among recently diagnosed HIV-positive men who have sex with men in a setting of high PrEP use.

INTRODUCTION: New South Wales (NSW) has one of the world's highest uptake rates of HIV pre-exposure prophylaxis (PrEP). This uptake has been credited with sharp declines in HIV transmission, particularly among Australian-born gay and bisexual men. Concerns have been raised around the potential for the emergence of tenofovir (TFV) and XTC (lamivudine/emtricitabine) resistance in settings of high PrEP use. Such an emergence could also increase treatment failure and associated clinical outcomes among people living with HIV (PLHIV). Despite low levels of nucleoside reverse-transcriptase inhibitor (NRTI) resistance relating to PrEP use in clinical settings, there are few published studies describing the prevalence of NRTI resistance among people newly diagnosed with HIV in a setting of high PrEP use. METHODS: Using HIV antiretroviral drug resistance data linked to NSW HIV notifications records of people diagnosed from 1 January 2015 to 31 December 2021 and with HIV attributed to male-to-male sex, we described trends in TFV and XTC resistance. Resistance was identified using the Stanford HIV Drug Resistance genotypic resistance interpretation system. To focus on transmitted drug resistance, resistance prevalence estimates were generated using sequences taken less than 3 months post-HIV diagnosis. These estimates were stratified by timing of sequencing relative to the date of diagnosis, year of sequencing, birthplace, likely place of HIV acquisition, and stage of HIV at diagnosis. RESULTS: Among 1119 diagnoses linked to HIV genomes sequenced less than 3 months following diagnosis, overall XTC resistance prevalence was 1.3%. Between 2015 and 2021, XTC resistance fluctuated between 0.5% to 2.9% and was 1.0% in 2021. No TFV resistance was found over the study period in any of the sequences analysed. Higher XTC resistance prevalence was observed among people with newly acquired HIV (evidence of HIV acquisition in the 12 months prior to diagnosis; 2.9%, p = 0.008). CONCLUSIONS: In this Australian setting, TFV and XTC resistance prevalence in new HIV diagnoses remained low. Our findings offer further evidence for the safe scale-up of PrEP in high-income settings, without jeopardizing the treatment of those living with HIV.

Retrospective audit compares screening and treatment of pregnancy-related anaemia in regional New South Wales with Australian guidelines.

BACKGROUND: Anaemia during pregnancy is common worldwide. In Australia, approximately 17% of non-pregnant women of reproductive age have anaemia, increasing to a rate of 25% in pregnant women. This study sought to determine the rate of screening for anaemia in pregnancy in regional New South Wales, and to determine whether screening and treatment protocols followed the recommended guidelines. METHODS: This retrospective study reviewed antenatal and postnatal (48 h) data of women (n = 150) who had a live birth at Bathurst Hospital between 01/01/2020 and 30/04/2020. Demographic data, risk factors for anaemia in pregnancy, antenatal bloods, treatments provided in trimesters one (T1), two (T2) and three (T3), and postpartum complications were recorded. These were compared to the Australian Red Cross Guidelines (ARCG) using descriptive statistics. RESULTS: Of the women with screening data available (n = 103), they were mostly aged 20-35yrs (79.6%), 23.3% were obese, 97.1% were iron deficient, 17% were anaemic and only a few (5.3%) completed the full pregnancy screening as recommended by the ARCG while a majority completed only partial screenings specifically Hb levels in T1 (56.7%), T2 (44.7%) and T3 (36.6%). Compliance to oral iron was largely undocumented, but constipation was a common side effect among the women. IV iron was administered in 14.0% of women, approximately 1.75x higher than the recommended rate. CONCLUSIONS: This study provided useful information about compliance to screening and treatment guidelines for anaemia in pregnancy. We identified the need for improved documentation and communication between various health providers to ensure adequate antenatal care to prevent maternal complications during pregnancy. This will improve patient care and encourage further developments in maternal care, bridging the rural health gap.

Innovative use of Australian cancer registry data for early detection of the effects of epidemics and other mass disruptions on cancer incidence.

BACKGROUND: Predictive modelling using pre-epidemic data have long been used to guide public health responses to communicable disease outbreaks and other health disruptions. In this study, cancer registry and related health data available 2-3 months from diagnosis were used to predict changes in cancer detection that otherwise would not have been identified until full registry processing was completed about 18-24 months later. A key question was whether these earlier data could be used to predict cancer incidence ahead of full processing by the cancer registry as a guide to more timely health responses. The setting was the Australian State of New South Wales, covering 31 % of the Australian population. The study year was 2020, the year of emergence of the COVID-19 pandemic. METHODS: Cancer detection in 2020 was modelled using data available 2-3 months after diagnosis. This was compared with data from full registry processing available from 2022. Data from pre-pandemic 2018 were used for exploratory model building. Models were tested using pre-pandemic 2019 data. Candidate predictor variables included pathology, surgery and radiation therapy reports, numbers of breast screens, colonoscopies, PSA tests, and melanoma excisions recorded by the universal Medical Benefits Schedule (MBS). Data were analysed for all cancers collectively and 5 leading types. RESULTS: Compared with full registry processing, modelled data for 2020 had a >95 % accuracy overall, indicating key points of inflexion of cancer detection over the COVID-disrupted 2020 period. These findings highlight the potential of predictive modelling of cancer-related data soon after diagnosis to reveal changes in cancer detection during epidemics and other health disruptions. CONCLUSIONS: Data available 2-3 months from diagnosis in the pandemic year indicated changes in cancer detection that were ultimately confirmed by fully-processed cancer registry data about 24 months later. This indicates the potential utility of using these early data in an early-warning system.

An audit for the inpatient management of patients with severe hypertension without acute end-organ damage at the Northern Sydney Local Health District.

Severe hypertension without acute end-organ damage is commonly encountered in inpatients. Despite this, there is a lack of international guidelines to manage this disorder. We conducted an audit to investigate the local practices within our health district. Current practices favour the use of rapidly acting antihypertensive drugs, which have been associated with iatrogenic injury.

Can genomics and meteorology predict outbreaks of legionellosis in urban settings?

Legionella pneumophila is ubiquitous and sporadically infects humans causing Legionnaire's disease (LD). Globally, reported cases of LD have risen fourfold from 2000 to 2014. In 2016, Sydney, Australia was the epicenter of an outbreak caused by L. pneumophila serogroup 1 (Lpsg1). Whole-genome sequencing was instrumental in identifying the causal clone which was found in multiple locations across the city. This study examined the epidemiology of Lpsg1 in an urban environment, assessed typing schemes to classify resident clones, and investigated the association between local climate variables and LD outbreaks. Of 223 local Lpsg1 isolates, we identified dominant clones with one clone isolated from patients in high frequency during outbreak investigations. The core genome multi-locus sequence typing scheme was the most reliable in identifying this Lpsg1 clone. While an increase in humidity and rainfall was found to coincide with a rise in LD cases, the incidence of the major L. pneumophila outbreak clone did not link to weather phenomena. These findings demonstrated the role of high-resolution typing and weather context assessment in determining source attribution for LD outbreaks in urban settings, particularly when clinical isolates remain scarce.IMPORTANCEWe investigated the genomic and meteorological influences of infections caused by Legionella pneumophila in Sydney, Australia. Our study contributes to a knowledge gap of factors that drive outbreaks of legionellosis compared to sporadic infections in urban settings. In such cases, clinical isolates can be rare, and thus, other data are needed to inform decision-making around control measures. The study revealed that core genome multi-locus sequence typing is a reliable and adaptable technique when investigating Lpsg1 outbreaks. In Sydney, the genomic profile of Lpsg1 was dominated by a single clone, which was linked to numerous community cases over a period of 40 years. Interestingly, the peak in legionellosis cases during Autumn was not associated with this prevalent outbreak clone. Incorporating meteorological data with Lpsg1 genomics can support risk assessment strategies for legionellosis in urban environments, and this approach may be relevant for other densely populated regions globally.

Smoking Cessation Pharmacotherapy Use in Pregnancy.

Importance: Significant evidence gaps exist regarding the safety of smoking cessation pharmacotherapies during pregnancy, especially for the risk of congenital malformations. Consequently, professional bodies advise against the use of varenicline and bupropion and recommend caution with nicotine replacement therapy (NRT). Contemporary estimates of the use of smoking cessation pharmacotherapies during pregnancy are lacking. Objective: To quantify the proportion of individuals using prescribed smoking cessation pharmacotherapies during pregnancy and during the first trimester specifically, in 4 countries. Design, Setting, and Participants: This retrospective, population-based cohort study used linked birth records, hospital admission records, and dispensing records of prescribed medications from all pregnancies resulting in birth between 2015 and 2020 in New South Wales, Australia; New Zealand; Norway; and Sweden. Data analyses were conducted in October and November 2023. Exposure: Prescribed smoking cessation pharmacotherapy use (varenicline, NRT, and bupropion) during pregnancy was defined as days' supply overlapping the period from date of conception to childbirth. Main Outcomes and Measures: Prevalence of use among all pregnancies and pregnancies with maternal smoking were calculated. Among women who used a pharmacotherapy, the proportion of women with use during the first trimester of pregnancy was also calculated. Results: Among 1 700 638 pregnancies in 4 countries, 138 033 (8.1%) had maternal smoking and 729 498 (42.9%) were younger than 30 years. The prevalences ranged from 0.02% to 0.14% for varenicline, less than 0.01% to 1.86% for prescribed NRT, and less than 0.01% to 0.07% for bupropion. Among pregnant individuals who smoked, use of pharmacotherapies was up to 10 times higher, with maximum prevalences of 1.25% for varenicline in New South Wales, 11.39% for NRT in New Zealand, and 0.39% for bupropion in New Zealand. Use in the first trimester occurred among more than 90% of individuals using varenicline, approximately 60% among those using NRT, and 80% to 90% among those using bupropion. Conclusions and Relevance: In this cohort study of pregnant individuals in 4 high-income countries, the low prevalence of varenicline and bupropion use during pregnancy and higher prevalence of NRT use aligned with current clinical guidelines. As most use occurred in the first trimester, there is a need for evidence on the risk of congenital malformations for these medications.

School performance in children with prenatal drug exposure and out-of-home care in NSW, Australia: a retrospective population-based cohort study.

BACKGROUND: Prenatal drug exposure (PDE) is a global public health problem that is strongly associated with the need for child protection services, including placement into out-of-home care (OOHC). We aimed to assess school outcomes for children with PDE (both with and without neonatal abstinence syndrome [NAS]) and the association of school performance with OOHC. METHODS: Using linked population health, OOHC, and school test data, we compared results on the Australian standardised curriculum-based test, the National Assessment Program-Literacy and Numeracy (NAPLAN), for children with PDE who were born in New South Wales (NSW) between 2001 and 2020 and had completed at least one NAPLAN test between Jan 1, 2008, and June 30, 2021, administered in Year 3 (age 8-9 years), Year 5 (age 10-11 years), Year 7 (age 12-13 years), or Year 9 (age 14-15 years). Linked datasets included NSW Perinatal Data Collection (birth data), NSW Admitted Patient Data Collection (hospital diagnoses), NSW Education Standards Authority (NAPLAN scores), NSW Family and Community Services Dataset-KiDS Data Collection (OOHC information), NSW Mental Health Ambulatory Data Collection, and NSW Registry for Births, Deaths, and Marriages. The primary outcome was scoring above or below the National Minimum Standard (NMS) in any test domain (mathematics, language, writing, and spelling) at each year level, comparing the relative risk of scoring below NMS between children with and without PDE (and with or without NAS within the PDE group), and with and without OOHC contact. The association between OOHC on the likelihood of scoring above NMS was also investigated for PDE and non-PDE cohorts. FINDINGS: The PDE cohort included 3836 children, and the non-PDE cohort included 897 487 children. Within the PDE cohort, 3192 children had a NAS diagnosis and 644 children had no NAS diagnosis. 1755 (45·8%) children with PDE required OOHC compared with 12 880 (1·4%) of 897 487 children without PDE. Children with PDE were more likely than children without PDE to score below NMS in any domain from Year 3 (risk ratio 2·72 [95% CI 2·58-2·76]) to Year 9 (2·36 [2·22-2·50]). Performance was similar regardless of a NAS diagnosis (Year 3: 0·96 [0·84-1·10]; Year 9: 0·98 [0·84-1·15]). The likelihood of scoring above NMS in Year 9 was reduced for children with PDE and without NAS (0·57 [0·45-0·73]) and NAS (0·58 [0·52-0·64]) compared with those without PDE, and also for children who received OOHC (0·60 [0·57-0·64]) compared with those without OOHC, when adjusted for confounders. Among children with PDE, those receiving OOHC had a similar likelihood of scoring above NMS compared with children who did not receive OOHC, from Year 3 (1·01 [0·92-1·11]) to Year 9 (0·90 [0·73-1·10]), when adjusted for confounding factors. By contrast, among children without PDE, those receiving OOHC were less likely to score above NMS than those who did not receive OOHC, from Year 3 (0·78 [0·76-0·80]) to Year 9 (0·58 [0·54-0·61]). INTERPRETATION: Compared with children without PDE, school performance in children with PDE-regardless of whether they were diagnosed with NAS-is poor, and the gap widens with age. The risk of poor performance persists regardless of OOHC status. This finding underscores the need for all children with PDE to receive long-term, culturally sensitive, and proactive support to improve life success. FUNDING: SPHERE Mindgardens Neuroscience Network, Australian Red Cross, Alpha Maxx Healthcare, Centre for Research Excellence for Integrated Health and Social Care, National Health and Medical Research Council, and University of Sydney.

Clinical characteristics, associated comorbidities and hospital outcomes of neonates with sleep disordered breathing: a retrospective cohort study.

OBJECTIVE: Awareness of the need for early identification and treatment of sleep disordered breathing (SDB) in neonates is increasing but is challenging. Unrecognised SDB can have negative neurodevelopmental consequences. Our study aims to describe the clinical profile, risk factors, diagnostic modalities and interventions that can be used to manage neonates with SDB to facilitate early recognition and improved management. METHODS: A single-centre retrospective study of neonates referred for assessment of suspected SDB to a tertiary newborn intensive care unit in New South Wales Australia over a 2-year period. Electronic records were reviewed. Outcome measures included demographic data, clinical characteristics, comorbidities, reason for referral, polysomnography (PSG) data, interventions targeted to treat SDB and hospital outcome. Descriptive analysis was performed and reported. RESULTS: Eighty neonates were included. Increased work of breathing, or apnoea with oxygen desaturation being the most common reasons (46% and 31%, respectively) for referral. Most neonates had significant comorbidities requiring involvement of multiple specialists (mean 3.3) in management. The majority had moderate to severe SDB based on PSG parameters of very high mean apnoea-hypopnoea index (62.5/hour) with a mean obstructive apnoea index (38.7/hour). Ten per cent of patients required airway surgery. The majority of neonates (70%) were discharged home on non-invasive ventilation. CONCLUSION: SDB is a serious problem in high-risk neonates and it is associated with significant multisystem comorbidities necessitating a multidisciplinary team approach to optimise management. This study shows that PSG is useful in neonates to diagnose and guide management of SDB.

Unexpected variation in outcomes following total (procto)colectomies for ulcerative colitis in New South Wales, Australia: a population-based 19-year linked-data study.

AIM: Total (procto)colectomy for ulcerative colitis (UC) is associated with significant morbidity, which is increased in the emergency setting. This study aimed to evaluate the outcomes following total (procto)colectomies at a population level within New South Wales (NSW), Australia, and identify case mix and hospital factors associated with these outcomes. METHODS: A retrospective data linkage study of patients undergoing total (procto)colectomy for UC in NSW over a 19-year period (2001-2020) was performed. The primary outcome was 90-day mortality. The influence of hospital level factors (including annual volume) and patient demographic variables on outcomes was assessed using logistic regression. Temporal trends in annual volume and evidence for centralization were assessed. RESULTS: In all, 1418 patients (mean 47.0 years [SD 18.7], 58.7% male) underwent total (procto)colectomy during the study period. The overall 90-day mortality rate was 3.2% (emergency 8.6% and elective 0.8%). After adjusting for confounding, increasing age at total (procto)colectomy, higher comorbidity burden, public health insurance (Medicare) status, emergency operation and living outside a major city were significantly associated with increased mortality. Hospital volume was significantly associated with mortality at a univariate level, but this did not persist on multivariate modelling. CONCLUSIONS: Outcomes of UC patients undergoing total (procto)colectomy in NSW Australia are comparable to international experience. Whilst higher mortality rates are observed in low volume and public hospitals, this appears attributable to case mix and acuity rather than surgical volume alone. However, as inflammatory bowel disease surgery is not centralized in Australia, only one NSW hospital performed >10 UC total (procto)colectomies annually. Variation in mortality according to insurance status and across regional/remote areas may indicate inequality in the availability of specialist inflammatory bowel disease treatment, which warrants further research.

Out-of-pocket health care expenses for people with and without cancer, New South Wales, 2020: a cross-sectional study.

OBJECTIVES: To investigate self-reported out-of-pocket health care expenses, both overall and by cost type, for a large population-based sample of Australians, by cancer status and socio-demographic and medical characteristics. STUDY DESIGN: Cross-sectional study. SETTING, PARTICIPANTS: New South Wales residents participating in the 45 and Up Study (recruited aged 45 years or older during 2005-2009) who completed the 2020 follow-up questionnaire; survey responses linked with New South Wales Cancer Registry data. MAIN OUTCOME MEASURES: Proportions of respondents who reported that out-of-pocket health care expenses during the preceding twelve months exceeded $1000 or $10 000; adjusted odds ratios (aORs) for associations with socio-demographic and medical characteristics. RESULTS: Of the 267 357 recruited 45 and Up Study participants, 45 061 completed the 2020 survey (response rate, 53%); 42.7% (95% confidence interval [CI], 42.2-43.1%) reported that overall out-of-pocket health care expenses during the previous year exceeded $1000, including 55.4% (52.1-58.7%) of participants diagnosed in the preceding two years and 44.9% (43.7-46.1%) of participants diagnosed with cancer more than two years ago. After adjustment for socio-demographic factors, out-of-pocket expenses greater than $1000 were more likely to be reported by participants with cancer than by those without cancer (diagnosis in past two years: aOR, 2.06 [95% CI, 1.77-2.40]; diagnosis more than two years ago: aOR, 1.22 [95% CI, 1.15-1.29]). The odds of out-of-pocket expenses exceeding $1000 increased with area-based socio-economic advantage and household income, and were higher for people with private health insurance (v people with Medicare coverage only: aOR, 1.64; 95% CI, 1.53-1.75). Out-of-pocket expenses exceeding $10 000 were also more likely for participants diagnosed with cancer during the past two years (v no cancer: aOR, 3.30; 95% CI, 2.56-4.26). CONCLUSIONS: People diagnosed with cancer during the past two years were much more likely than people without cancer to report twelve-month out-of-pocket health care expenses that exceeded $1000. Out-of-pocket expenses for people with cancer can exacerbate financial strain at a time of vulnerability, and affect health care equity because some people cannot pay for all available treatments.

Risk prevalence, readiness and confidence to change lifestyle risk factors among clients of community mental health services.

OBJECTIVE: People with mental health conditions have high rates of chronic physical diseases, partially attributable to lifestyle risks factors. This study examined risk prevalence among community mental health service clients, their readiness and confidence to change, and associations with participant characteristics. METHODS: Cross-sectional survey of adult clients from 12 community mental health services across 3 local health districts in New South Wales, Australia, collected from 2021 to 2022. Participants (n = 486) completed a telephone interview determining five risk factors, and readiness and confidence to change these. Multiple binary logistic regression models determined associations between readiness and confidence (for each risk), and participant characteristics (demographics and diagnosis). RESULTS: Participants most commonly reported a diagnosis of schizophrenia (36.7%) or depression (21.1%). Risk factors were prevalent: ranging from 26% (harmful alcohol use) to 97% (poor nutrition). High readiness was greatest for smoking (68%), weight (66%) and physical inactivity (63%), while confidence was highest for changing alcohol use (67%). Two significant associations were identified; females were more likely than males to have high readiness to change nutrition (odds ratio = 1.14, confidence interval = [1.13, 2.34], p = 0.0092), with males more likely to have high confidence to change physical activity (odds ratio = 0.91, confidence interval = [0.45, 0.99], p = 0.0109). CONCLUSIONS: Many participants were ready and confident to change risk factors. Gender influenced readiness to change nutrition and physical activity confidence. Training to upskill mental health clinicians in provision of preventive care that builds confidence and readiness levels may aid in supporting positive behaviour change.

Trajectories of Opioid Use Before and After Cancer Diagnosis: A Population-Based Cohort Study.

BACKGROUND: Opioid use prior to cancer diagnosis increases the likelihood of long-term use during survivorship, however, patterns of use before and after diagnosis are not understood. METHODS: We used population-based dispensing data linked with cancer and death notifications to identify two cohorts of adults residing in New South Wales initiating opioids within 24 months prior to a first cancer diagnosed between 2014 and 2016: 'survivors' (alive 24 months following diagnosis) and 'decedents' (died within 24 months). We used group-based trajectory modelling to identify trajectories of monthly opioid dispensings and dispensed oral morphine equivalent milligrams (OMEmg) during the 24 months before/after cancer diagnosis. RESULTS: There were 21,843 survivors with four prediagnosis opioid dispensing trajectories: infrequent (58% of the cohort), late increasing (26%), moderate (10%), and sustained dispensing (6%). We observed an overall increase in dispensed OMEmg of 83 OMEmg (95% CI: 76-91) during the month of diagnosis, with strong opioid formulations comprising most treatment postdiagnosis. Within each prediagnosis opioid trajectory group, we observed five to six postdiagnosis trajectory groups, including no opioid dispensing. Moderate and sustained prediagnosis groups had large proportions of people continuing or increasing opioid dispensing after diagnosis, while small proportions discontinued opioid treatment. We observed similar trajectories in the decedent cohort. CONCLUSIONS: There is considerable heterogeneity in opioid use before and after cancer diagnosis. Our findings suggest noncancer factors drive a significant proportion of postdiagnosis opioid use, but use increased significantly from the month of cancer diagnosis and never returned to prediagnosis levels.

Morbidity and mortality outcomes of patients requiring isolated tricuspid valve surgery: a retrospective cohort study of 537 patients in New South Wales between 2002 and 2018.

OBJECTIVES: The aim of the study was to evaluate mortality and morbidity outcomes following open-heart isolated tricuspid valve surgery (TVSx) with medium to long-term follow-up. DESIGN: Retrospective cohort study. SETTING: New South Wales public and private hospital admissions between 1 January 2002 and 30 June 2018. PARTICIPANTS: A total of 537 patients underwent open isolated TVSx during the study period. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcome was all-cause mortality tracked from the death registry to 31 December 2018. Secondary morbidity outcomes, including admission for congestive cardiac failure (CCF), new atrial fibrillation (AF), infective endocarditis (IE), pulmonary embolism (PE) and insertion of a permanent pacemaker (PPM) or implantable cardioverter-defibrillator (ICD), were tracked from the Admitted Patient Data Collection database. Independent mortality associations were determined using the Cox regression method. RESULTS: A total of 537 patients underwent open isolated TVSx (46% male): median age (IQR) was 63.5 years (43.9-73.8 years) with median length of stay of 16 days (10-31 days). Main cardiovascular comorbidities were AF (54%) and CCF (42%); 67% had rheumatic tricuspid valve. In-hospital and total mortality were 7.4% and 39.3%, respectively (mean follow-up: 4.8 years). Cause-specific deaths were evenly split between cardiovascular and non-cardiovascular causes. Predictors of mortality included a history of CCF (HR=1.78, 95% CI 1.33 to 2.38, p<0.001) and chronic pulmonary disease (HR=2.66, 95% CI 1.63 to 4.33, p<0.001). In-hospital PPM rate was 10.0%. At 180 days, 53 (9.9%) patients were admitted for CCF, 25 (10.1%) had new AF, 7 (1.5%) had new IE and <1% had PE, post-discharge PPM or ICD insertion. CONCLUSION: Open isolated TVSx carries significant mortality risk, with decompensated CCF and new AF the most common morbidities encountered after surgery. This report forms a benchmark to compare outcomes with newer percutaneous tricuspid interventions.