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1.
Med J Aust ; 221(1): 31-38, 2024 Jul 01.
Article in English | MEDLINE | ID: mdl-38946633

ABSTRACT

OBJECTIVE: To characterise the socio-demographic characteristics, aged and health care needs, and aged care services used by older Aboriginal and Torres Strait Islander people assessed for aged care service eligibility. STUDY DESIGN: Population-based retrospective cohort study; analysis of Registry of Senior Australians (ROSA) National Historical Cohort data. SETTING, PARTICIPANTS: Aboriginal and Torres Strait Islander people aged 50 years or older who were first assessed for aged care service eligibility (permanent residential aged care, home care package, respite care, or transition care) during 1 January 2017 - 31 December 2019. MAJOR OUTCOME MEASURES: Socio-demographic and aged care assessment characteristics; health conditions and functional limitations recorded at the time of the assessment; subsequent aged care service use. RESULTS: The median age of the 6209 people assessed for aged care service eligibility was 67 years (interquartile range [IQR], 60-75 years), 3626 were women (58.4%), and 4043 lived in regional to very remote areas of Australia (65.1%). Aboriginal health workers were involved in 655 eligibility assessments (10.5%). The median number of health conditions was six (IQR, 4-8); 6013 (96.9%) had two or more health conditions, and 2592 (41.8%) had seven or more. Comorbidity was most frequent among people with mental health conditions: 597 of 1136 people with anxiety (52.5%) and 1170 of 2416 people with depression (48.5%) had seven or more other medical conditions. Geriatric syndromes were recorded for 2265 people (36.5%); assistance with at least one functional activity was required by 6190 people (99.7%). A total of 6114 people (98.5%) were approved for at least one aged care service, 3218 of whom (52.6%) subsequently used these services; the first services used were most frequently home care packages (1660 people, 51.6%). CONCLUSION: Despite the high care needs of older Aboriginal and Torres Strait Islander people, only 52% used aged care services for which they were eligible. It is likely that the health and aged care needs of older Aboriginal and Torres Strait Islander people are not being adequately met.


Subject(s)
Eligibility Determination , Native Hawaiian or Other Pacific Islander , Humans , Native Hawaiian or Other Pacific Islander/statistics & numerical data , Female , Male , Retrospective Studies , Aged , Middle Aged , Australia/epidemiology , Health Services, Indigenous/statistics & numerical data , Health Services for the Aged/statistics & numerical data , Aged, 80 and over , Australian Aboriginal and Torres Strait Islander Peoples
2.
BMC Prim Care ; 25(1): 240, 2024 Jul 05.
Article in English | MEDLINE | ID: mdl-38969977

ABSTRACT

INTRODUCTION: The COVID-19 pandemic period (2020 to 2022) challenged and overstretched the capacity of primary health care services to deliver health care globally. The sector faced a highly uncertain and dynamic period that encompassed anticipation of a new, unknown, lethal and highly transmissible infection, the introduction of various travel restrictions, health workforce shortages, new government funding announcements and various policies to restrict the spread of the COVID-19 virus, then vaccination and treatments. This qualitative study aims to document and explore how the pandemic affected primary health care utilisation and delivery in remote and regional Aboriginal and Torres Strait Islander communities. METHODS: Semi-structured interviews were conducted with staff working in 11 Aboriginal Community-Controlled Health Services (ACCHSs) in outer regional, remote and very remote Australia. Interviews were transcribed, inductively coded and thematically analysed. RESULTS: 248 staff working in outer regional, remote and very remote primary health care clinics were interviewed between February 2020 and June 2021. Participants reported a decline in numbers of primary health care presentations in most communities during the initial COVID-19 lock down period. The reasons for the decline were attributed to community members apprehension to go to the clinics, change in work priorities of primary health care staff (e.g. more emphasis on preventing the virus entering the communities and stopping the spread) and limited outreach programs. Staff forecasted a future spike in acute presentations of various chronic diseases leading to increased medical retrieval requirements from remote communities to hospital. Information dissemination during the pre-vaccine roll-out stage was perceived to be well received by community members, while vaccine roll-out stage information was challenged by misinformation circulated through social media. CONCLUSIONS: The ability of ACCHSs to be able to adapt service delivery in response to the changing COVID-19 strategies and policies are highlighted in this study. The study signifies the need to adequately fund ACCHSs with staff, resources, space and appropriate information to enable them to connect with their communities and continue their work especially in an era where the additional challenges created by pandemics are likely to become more frequent. While the PHC seeking behaviour of community members during the COVID-19 period were aligned to the trends observed across the world, some of the reasons underlying the trends were unique to outer regional, remote and very remote populations. Policy makers will need to give due consideration to the potential effects of newly developed policies on ACCHSs operating in remote and regional contexts that already battle under resourcing issues and high numbers of chronically ill populations.


Subject(s)
Delivery of Health Care , Primary Health Care , Rural Health Services , Humans , Australia/epidemiology , COVID-19/epidemiology , Delivery of Health Care/organization & administration , Health Services, Indigenous/organization & administration , Interviews as Topic , Patient Acceptance of Health Care , Primary Health Care/organization & administration , Qualitative Research , Rural Health Services/organization & administration
3.
Medicine (Baltimore) ; 103(27): e38829, 2024 Jul 05.
Article in English | MEDLINE | ID: mdl-38968452

ABSTRACT

To investigate the trends of hospital admissions concerning diseases of the eye and adnexa in Australia in the past 2 decades. This is a descriptive ecological study on the population level that examined hospitalization data for the duration between 1998 and 2021 in Australia. Hospitalization data were extracted from the National Hospital Morbidity Database. The chi-squared test was utilized to assess the difference in admission rates between the years 1998 and 2021. Hospital admission rate for diseases of the eye and adnexa increased by 1.20-fold (from 852.32 [95% confidence interval [CI] 848.16-856.47] in 1998 to 1873.72 [95% CI 1868.48-1878.96] in 2021 per 100,000 persons, P < .01). The most common cause of hospitalization for diseases of the eye and adnexa was disorders of the lens (65.7%), followed by disorders of the choroid and retina (15.6%), followed by disorders of the eyelid, lacrimal system, and orbit (7.7%). Hospital admission rate among males increased by 1.25-fold (from 737.67 [95% CI 732.18-743.16] in 1998 to 1657.19 [95% CI 1650.19-1664.20] in 2021 per 100,000 persons). Hospital admission rate among females increased less sharply by 1.03-fold (from 965.37 [95% CI 959.14-971.59] in 1998 to 1964.35 [95% CI 1956.80-1971.90] in 2021 per 100,000 persons). There are clear gender and age roles in the epidemiology of hospital admissions related to eye and adnexa disorders. Lens disorders were the most common cause of hospital admission. The admission rate increase during the past decades could be due to increases in life expectancy, lifestyle changes, and improvements in screening protocols.


Subject(s)
Eye Diseases , Hospitalization , Humans , Male , Female , Hospitalization/statistics & numerical data , Australia/epidemiology , Middle Aged , Adult , Aged , Adolescent , Eye Diseases/epidemiology , Child , Young Adult , Infant , Child, Preschool , Aged, 80 and over
4.
Cancer Epidemiol ; 91: 102608, 2024 Aug.
Article in English | MEDLINE | ID: mdl-38970918

ABSTRACT

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.


Subject(s)
COVID-19 , Early Detection of Cancer , Neoplasms , Pandemics , Registries , Humans , COVID-19/epidemiology , COVID-19/diagnosis , Neoplasms/epidemiology , Neoplasms/diagnosis , Incidence , Early Detection of Cancer/statistics & numerical data , Early Detection of Cancer/methods , Female , Male , SARS-CoV-2/isolation & purification , Australia/epidemiology , New South Wales/epidemiology , Epidemics , Coronavirus Infections/epidemiology , Coronavirus Infections/diagnosis
5.
Cancer Med ; 13(14): e70006, 2024 Jul.
Article in English | MEDLINE | ID: mdl-39001673

ABSTRACT

INTRODUCTION: Abnormal results in common blood tests may occur several months before lung cancer (LC) and colorectal cancer (CRC) diagnosis. Identifying early blood markers of cancer and distinct blood test signatures could support earlier diagnosis in general practice. METHODS: Using linked Australian primary care and hospital cancer registry data, we conducted a cohort study of 855 LC and 399 CRC patients diagnosed between 2001 and 2021. Requests and results from general practice blood tests (six acute phase reactants [APR] and six red blood cell indices [RBCI]) were examined in the 2 years before cancer diagnosis. Poisson regression models were used to estimate monthly incidence rates and examine pre-diagnostic trends in blood test use and abnormal results prior to cancer diagnosis, comparing patterns in LC and CRC patients. RESULTS: General practice blood test requests increase from 7 months before CRC and 6 months before LC diagnosis. Abnormalities in many APR and RBCI tests increase several months before cancer diagnosis, often occur prior to or in the absence of anaemia (in 51% of CRC and 81% of LC patients with abnormalities), and are different in LC and CRC patients. CONCLUSIONS: This study demonstrates an increase in diagnostic activity in Australian general practice several months before LC and CRC diagnosis, indicating potential opportunities for earlier diagnosis. It identifies blood test abnormalities and distinct signatures that are early markers of LC and CRC. If combined with other pre-diagnostic information, these blood tests have potential to support GPs in prioritising patients for cancer investigation of different sites to expedite diagnosis.


Subject(s)
Colorectal Neoplasms , Hematologic Tests , Lung Neoplasms , Primary Health Care , Humans , Colorectal Neoplasms/diagnosis , Colorectal Neoplasms/blood , Colorectal Neoplasms/epidemiology , Australia/epidemiology , Lung Neoplasms/blood , Lung Neoplasms/diagnosis , Lung Neoplasms/epidemiology , Male , Female , Retrospective Studies , Aged , Middle Aged , Hematologic Tests/methods , Hematologic Tests/statistics & numerical data , Early Detection of Cancer/methods , Registries , Biomarkers, Tumor/blood , Adult , Incidence , Aged, 80 and over
6.
Med J Aust ; 221(2): 103-110, 2024 Jul 15.
Article in English | MEDLINE | ID: mdl-39003689

ABSTRACT

OBJECTIVES: To examine changes in multiple myeloma incidence and mortality rates during 1982-2018, and to estimate its incidence, mortality, and prevalence for 2019-2043. STUDY DESIGN: Population-based statistical modelling study; analysis of and projections based on Australian Institute of Health and Welfare multiple myeloma incidence, mortality, and survival data. SETTING: Australia, 1982-2018 (historical data) and projections to 2043. MAIN OUTCOME MEASURES: Changes in multiple myeloma incidence and mortality rates, 1982-2018, determined by joinpoint regression analysis (age-standardised to 2021 Australian population); projection of rates to 2043 based on age-period-cohort models; estimated 5- and 30-year prevalence of multiple myeloma (modified counting method). RESULTS: The incidence of multiple myeloma increased during 1982-2018 (eg, annual percentage change [APC], 2006-2018, 1.9%; 95% confidence interval [CI], 1.7-2.2%), but the mortality rate declined during 1990-2018 (APC, -0.4%; 95% CI, -0.5% to -0.2%). The age-standardised incidence rate was projected to increase by 14.9% during 2018-2043, from 8.7 in 2018 to 10.0 (95% CI, 9.4-10.7) new cases per 100 000 population in 2043; the mortality rate was projected to decline by 27.5%, from 4.0 to 2.9 (95% CI, 2.6-3.3) deaths per 100 000 population. The annual number of people newly diagnosed with multiple myeloma was estimated to increase by 89.2%, from 2120 in 2018 to 4012 in 2043; the number of deaths from multiple myeloma was projected to increase by 31.7%, from 979 to 1289. The number of people living with multiple myeloma up to 30 years after initial diagnosis was projected to increase by 163%, from 10 288 in 2018 to 27 093 in 2043, including 13 019 people (48.1%) diagnosed during the preceding five years. CONCLUSION: Although the decline in the mortality rate was projected to continue, the projected increases in the incidence and prevalence of multiple myeloma in Australia over the next 25 years indicate that investment in prevention and early detection research, and planning for prolonged treatment and care, are needed.


Subject(s)
Models, Statistical , Multiple Myeloma , Multiple Myeloma/mortality , Multiple Myeloma/epidemiology , Humans , Australia/epidemiology , Incidence , Prevalence , Female , Male , Aged , Middle Aged , Adult , Aged, 80 and over , Forecasting , Age Distribution
7.
PeerJ ; 12: e17674, 2024.
Article in English | MEDLINE | ID: mdl-38974412

ABSTRACT

Background: Australia is known for its outdoor culture, with a large percentage of its population engaging in outdoor recreational activities, aquatic, non-aquatic and outdoor occupational activities. However, these outdoor enthusiasts face increased exposure to ultraviolet radiation (UVR), leading to a higher risk of skin cancer, including malignant melanoma (MM). Over the past 40 years, there has been a significant rise in skin cancer rates in Australia, with two out of three Australians expected to develop some form of skin cancer by age 70. Currently, skin cancer examinations are not endorsed in asymptomatic or low-risk individuals in Australia, with only high-risk individuals recommended to undergo regular skin examinations. Notably, the Melanoma Institute Australia suggests that one-half of patients identify MMs themselves, although this claim appears to be based on limited Australian data which may not reflect contemporary practice. Therefore this study sought to determine the percentage of patients who were able to self-identify MMs as lesions of concern when presenting for a skin cancer examination. Methods: Multi-site, cross-sectional study design incorporating a descriptive survey and total body skin cancer screening, including artificial intelligence by a skin cancer doctor. Results: A total of 260 participants with suspect MM lesions were biopsied, with 83 (31.9%) found to be melanomas. Of the true positive MMs only a small percentage of participants (21.7% specificity) correctly had concerns about the suspect lesion being a MM. These MMs were located primarily on the back (44.4%), shoulder (11.1%) and upper leg (11.1%). There was no significant difference in the size between those participants aware of a MM versus those who were not (P = 0.824, 24.6 vs 23.4 mm2). Significantly more males identified lesions of concern that were MMs as compared to females (P = 0.008, 61.1% vs 38.9%, respectively). With regard to true negatives males and females were similar (52.1% vs 47.9%, respectively). With regard to false negatives (n = 65), a greater percentage of males than females did not recognize the MM as a lesion of concern (66.2% vs 33.8%, respectively). Participants were more likely to correctly identify an invasive MM as opposed to an in situ MM (27.3% versus 21.3%). Conclusions: Only a small percentage of participants in this study were able to self-identify either in situ or invasive MM as a lesion of concern with a tendency to identify the more advanced, thicker MMs. Given that MM is associated with a high mortality and cost of treatment, particularly when invasive, the inability of lay persons to identify these cancerous lesions will likely lead to delayed treatment and a possible adverse outcome. We believe the current melanoma screening practices in Australian general practice should be revisited to improve patient outcomes with regard to MM. Additionally, prevention campaigns should include images and primary risk factors for MM.


Subject(s)
Early Detection of Cancer , Melanoma , Skin Neoplasms , Humans , Melanoma/epidemiology , Melanoma/pathology , Melanoma/diagnosis , Skin Neoplasms/epidemiology , Skin Neoplasms/diagnosis , Skin Neoplasms/pathology , Female , Male , Australia/epidemiology , Middle Aged , Cross-Sectional Studies , Aged , Adult , Early Detection of Cancer/methods , Self-Examination , Aged, 80 and over , Health Knowledge, Attitudes, Practice
9.
Euro Surveill ; 29(27)2024 Jul.
Article in English | MEDLINE | ID: mdl-38967014

ABSTRACT

We describe an outbreak of Ralstonia pickettii in the United Kingdom, with isolates genetically indistinguishable from a 2023 Australian outbreak linked to internationally distributed saline solutions. Confirmed cases (n = 3) had bacteraemia, clinically relevant infection, indwelling venous lines and frequent healthcare contact. Multi-stakeholder intervention was required including product recall and risk communications. We recommend a low threshold for investigating clusters of Ralstonia species and similar opportunistic pathogens, considering contaminated product sources. Effective mitigation requires multi-agency partnership and international collaboration.


Subject(s)
Disease Outbreaks , Gram-Negative Bacterial Infections , Ralstonia pickettii , Humans , United Kingdom/epidemiology , Ralstonia pickettii/isolation & purification , Ralstonia pickettii/genetics , Gram-Negative Bacterial Infections/epidemiology , Gram-Negative Bacterial Infections/microbiology , Saline Solution , Bacteremia/epidemiology , Bacteremia/microbiology , Australia/epidemiology , Drug Contamination , Male
10.
BMJ Open Diabetes Res Care ; 12(4)2024 Jul 16.
Article in English | MEDLINE | ID: mdl-39013632

ABSTRACT

INTRODUCTION: The Environmental Determinants of Islet Autoimmunity (ENDIA) Study is an ongoing Australian prospective cohort study investigating how modifiable prenatal and early-life exposures drive the development of islet autoimmunity and type 1 diabetes (T1D) in children. In this profile, we describe the cohort's parental demographics, maternal and neonatal outcomes and human leukocyte antigen (HLA) genotypes. RESEARCH DESIGN AND METHODS: Inclusion criteria were an unborn child, or infant aged less than 6 months, with a first-degree relative (FDR) with T1D. The primary outcome was persistent islet autoimmunity, with children followed until a T1D diagnosis or 10 years of age. Demographic data were collected at enrollment. Lifestyle, clinical and anthropometric data were collected at each visit during pregnancy and clinical pregnancy and birth data were verified against medical case notes. Data were compared between mothers with and without T1D. HLA genotyping was performed on the ENDIA child and all available FDRs. RESULTS: The final cohort comprised 1473 infants born to 1214 gestational mothers across 1453 pregnancies, with 80% enrolled during pregnancy. The distribution of familial T1D probands was 62% maternal, 28% paternal and 11% sibling. The frequency of high-risk HLA genotypes was highest in T1D probands, followed by ENDIA infants, and lowest among unaffected family members. Mothers with T1D had higher rates of pregnancy complications and perinatal intervention, and larger babies of shorter gestation. Parent demographics were comparable to the Australian population for age, parity and obesity. A greater percentage of ENDIA parents were Australian born, lived in a major city and had higher socioeconomic advantage and education. CONCLUSIONS: This comprehensive profile provides the context for understanding ENDIA's scope, methodology, unique strengths and limitations. Now fully recruited, ENDIA will provide unique insights into the roles of early-life factors in the development of islet autoimmunity and T1D in the Australian environment. TRIAL REGISTRATION NUMBER: ACTRN12613000794707.


Subject(s)
Autoimmunity , Diabetes Mellitus, Type 1 , Humans , Diabetes Mellitus, Type 1/epidemiology , Diabetes Mellitus, Type 1/genetics , Diabetes Mellitus, Type 1/immunology , Diabetes Mellitus, Type 1/etiology , Female , Pregnancy , Australia/epidemiology , Prospective Studies , Male , Child , Infant , Infant, Newborn , Risk Factors , Adult , Islets of Langerhans/immunology , Longitudinal Studies , Follow-Up Studies , Prenatal Exposure Delayed Effects/epidemiology , Child, Preschool , Parents , Genotype , HLA Antigens/genetics
11.
Arthritis Res Ther ; 26(1): 133, 2024 Jul 16.
Article in English | MEDLINE | ID: mdl-39014427

ABSTRACT

BACKGROUND: Most estimates of rheumatoid arthritis (RA) prevalence, including all official figures in Australia and many other countries, are based on self-report. Self-report has been shown to overestimate RA, but the 'gold standard' of reviewing individual medical records is costly, time-consuming and impractical for large-scale research and population monitoring. This study provides an algorithm to estimate RA cases using administrative data that can be adjusted for use in multiple contexts to provide the first approximate RA cohort in Australia that does not rely on self-report. METHODS: Survey data on self-reported RA and medications from 25 467 respondents of the Australian Longitudinal Study on Women's Health (ALSWH) were linked with data from the national medication reimbursement database, hospital and emergency department (ED) episodes, and Medicare Benefits codes. RA prevalence was calculated for self-reported RA, self-reported RA medications, dispensed RA medications, and hospital/ED RA presentations. Linked data were used to exclude individuals with confounding autoimmune conditions. RESULTS: Of 25 467 survey respondents, 1367 (5·4%) women self-reported disease. Of the 26 840 women with hospital or ED presentations, 292 (1·1%) received ICD-10 codes for RA. There were 1038 (2·8%) cases by the medication database definition, and 294 cases (1·5%) by the self-reported medication definition. After excluding individuals with other rheumatic conditions, prevalence was 3·9% for self-reported RA, 1·9% based on the medication database definition and 0·5% by self-reported medication definition. This confirms the overestimation of RA based on self-reporting. CONCLUSIONS: We provide an algorithm for identifying individuals with RA, which could be used for population studies and monitoring RA in Australia and, with adjustments, internationally. Its balance of accuracy and practicality will be useful for health service planning using relatively easily accessible input data.


Subject(s)
Antirheumatic Agents , Arthritis, Rheumatoid , Databases, Factual , Self Report , Humans , Arthritis, Rheumatoid/drug therapy , Arthritis, Rheumatoid/epidemiology , Arthritis, Rheumatoid/diagnosis , Female , Australia/epidemiology , Prevalence , Middle Aged , Antirheumatic Agents/therapeutic use , Longitudinal Studies , Aged , Adult , Algorithms
12.
Intern Med J ; 54(7): 1223-1227, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38973146

ABSTRACT

Population-based studies have demonstrated a high risk of second cancers, especially of the skin, among patients with chronic lymphocytic leukaemia (CLL). We describe age-standardised incidence ratios (SIRs) of second primary malignancies (SPM) in Australian patients with relapsed/refractory CLL treated with at least two lines of therapy, including ibrutinib. From December 2014 to November 2017, 156 patients were identified from 13 sites enrolled in the Australasian Lymphoma and Related Diseases Registry, and 111 had follow-up data on rates of SPM. At 38.4 months from ibrutinib therapy commencement, 25% experienced any SPM. SIR for melanoma and all cancers (excluding nonmelanomatous skin cancers) were 15.8 (95% confidence interval (CI): 7.0-35.3) and 4.6 (95% CI: 3.1-6.9) respectively. These data highlight the importance of primary preventive interventions and surveillance, particularly as survival from CLL continues to improve.


Subject(s)
Leukemia, Lymphocytic, Chronic, B-Cell , Neoplasms, Second Primary , Humans , Leukemia, Lymphocytic, Chronic, B-Cell/epidemiology , Leukemia, Lymphocytic, Chronic, B-Cell/drug therapy , Neoplasms, Second Primary/epidemiology , Aged , Australia/epidemiology , Male , Female , Middle Aged , Incidence , Aged, 80 and over , Registries , Adenine/analogs & derivatives , Adenine/therapeutic use , Piperidines/therapeutic use , Adult , Pyrazoles/therapeutic use , Australasian People
13.
Med J Aust ; 220(10): 495, 2024 Jun 03.
Article in English | MEDLINE | ID: mdl-38824452
14.
Aust J Gen Pract ; 53(6): 389-393, 2024 06.
Article in English | MEDLINE | ID: mdl-38840377

ABSTRACT

BACKGROUND: Shift work is characterised by displaced sleep opportunities and associated sleep disturbance. Shift workers often report sleepiness and other wake time symptoms associated with poor sleep. However, clinical sleep disorders are also prevalent in shift workers. Although prevalence rates are similar or higher in shift workers compared with the general population, help seeking in shift workers with sleep disorders is low. OBJECTIVE: This article aims to provide general practitioners with a contemporary overview of the prevalence rates for sleep disorders in shift workers, to clarify the existing evidence relating to mental and physical health consequences of sleep disorders in shift workers and to highlight the need to consider undiagnosed sleep disorders before attributing sleep-related symptoms solely to work schedules. DISCUSSION: Symptoms of sleep loss associated with shift work overlap with symptoms experienced by individuals living with sleep disorders. Although >40% of middle-aged Australians live with a sleep disorder that requires investigation and management, symptoms in shift workers are often attributed to the work schedule and, as a result, might not be investigated for appropriate diagnosis and treatment. We argue that screening for sleep disorders in shift workers with sleep complaints should be a priority.


Subject(s)
General Practice , Sleep Wake Disorders , Humans , Sleep Wake Disorders/therapy , Sleep Wake Disorders/physiopathology , Sleep Wake Disorders/diagnosis , Australia/epidemiology , General Practice/methods , Sleep Disorders, Circadian Rhythm/therapy , Sleep Disorders, Circadian Rhythm/physiopathology , Sleep Disorders, Circadian Rhythm/diagnosis , Sleep Disorders, Circadian Rhythm/complications , Prevalence , Shift Work Schedule/adverse effects , Work Schedule Tolerance/physiology
15.
Article in English | MEDLINE | ID: mdl-38926650

ABSTRACT

Abstract: This report summarises Australia's spontaneous (passive) surveillance data for adverse events following immunisation (AEFI) for coronavirus disease 2019 (COVID-19) vaccines in 2021 reported to the Therapeutic Goods Administration (TGA). The TGA strongly promoted and facilitated adverse event reporting in preparation for, and during, the COVID-19 vaccine rollout as a core component of the most intensive vaccine safety monitoring ever conducted in Australia. There were 111,348 AEFI reports for COVID-19 vaccines administered in 2021, an annual AEFI reporting rate of 271.4 per 100,000 doses of COVID-19 vaccines administered to people aged ≥ 12 years. The annual AEFI reporting rate for non-COVID-19 vaccines in 2021 was 30.6 per 100,000 doses administered to people of all ages. Overall, the most frequently reported symptoms were headache, adverse events classified as 'gastrointestinal nonspecific symptoms and therapeutic procedures', myalgia, pyrexia and fatigue, which were consistent with common expected adverse events following COVID-19 vaccines used in Australia. The most commonly reported adverse events of special interest were myocarditis and/or pericarditis, followed by thrombosis and thromboembolism, and anaphylaxis. Of all COVID-19 vaccine AEFI reports, 762 (0.7%) included a fatal outcome, of which over 80% were in people aged ≥ 60 years. Thirteen deaths reported in 2021 were assessed as likely to be causally linked to vaccination. This report confirms the value of spontaneous post-marketing vaccine pharmacovigilance, especially in the context of new vaccines using novel vaccine technologies and near whole-of-population pandemic vaccination programs. The most frequently reported AEFI for COVID-19 vaccines were common, mild and temporary (lasting 1 or 2 days), and consistent with clinical trial and active surveillance data. Ongoing safety monitoring detected rare, unexpected conditions, such as myocarditis/pericarditis and thrombosis with thrombocytopenia syndrome (TTS), which were investigated and confirmed as safety signals, resulting in changes to vaccine recommendations and product information. The outcomes of TGA monitoring were published in weekly vaccine safety reports. Overall, COVID-19 vaccine safety monitoring provided critical information on the risks of vaccine related adverse events that enabled decisionmakers to undertake informed risk-benefit assessments.


Subject(s)
Adverse Drug Reaction Reporting Systems , COVID-19 Vaccines , COVID-19 , Adolescent , Adult , Aged , Child , Female , Humans , Male , Middle Aged , Young Adult , Australia/epidemiology , COVID-19/prevention & control , COVID-19/epidemiology , COVID-19 Vaccines/adverse effects , COVID-19 Vaccines/administration & dosage , Vaccination/adverse effects
16.
Article in English | MEDLINE | ID: mdl-38926649

ABSTRACT

Abstract: This report summarises Australia's spontaneous surveillance data for adverse events following immunisation (AEFI) for 2021 reported to the Therapeutic Goods Administration (TGA) and describes reporting trends over the 22-year period 1 January 2000 to 31 December 2021. This report excludes AEFI reports featuring pandemic coronavirus disease 2019 (COVID-19) vaccines, which are reported separately. There were 3,452 AEFI reports for non-COVID-19 vaccines administered in 2021, an annual AEFI reporting rate of 13.4 per 100,000 population compared with 14.9 per 100,000 population in 2020. This small decrease in the AEFI reporting rate in 2021 could potentially be related to an increased focus on COVID-19 vaccines and related AEFI, which are not included in this report. AEFI reporting rates for individual vaccines in 2021 were similar to 2020, as were the most commonly reported adverse events. Of the six deaths following vaccination in 2021 reported to the TGA, none were found to have a causal relationship with vaccination.


Subject(s)
Adverse Drug Reaction Reporting Systems , COVID-19 Vaccines , COVID-19 , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Young Adult , Australia/epidemiology , COVID-19/prevention & control , COVID-19/epidemiology , COVID-19 Vaccines/adverse effects , COVID-19 Vaccines/administration & dosage , Vaccination/adverse effects
17.
Article in English | MEDLINE | ID: mdl-38926914

ABSTRACT

Abstract: The reference laboratories of the Australian Meningococcal Surveillance Programme (AMSP) report data on the number of cases of invasive meningococcal disease (IMD) confirmed by laboratory testing using culture and molecular based techniques. Data contained in quarterly reports are restricted to a description of case numbers of IMD by jurisdiction and serogroup, where known. A full analysis of laboratory confirmations of IMD in each calendar year are contained in the AMSP annual reports.


Subject(s)
Meningococcal Infections , Neisseria meningitidis , Humans , Australia/epidemiology , Meningococcal Infections/epidemiology , Meningococcal Infections/microbiology , Population Surveillance , Serogroup , Disease Notification
18.
Article in English | MEDLINE | ID: mdl-38926915

ABSTRACT

Abstract: The reference laboratories of the Australian Meningococcal Surveillance Programme (AMSP) report data on the number of cases of invasive meningococcal disease (IMD) confirmed by laboratory testing using culture and molecular based techniques. Data contained in quarterly reports are restricted to a description of case numbers of IMD by jurisdiction and serogroup, where known. A full analysis of laboratory confirmations of IMD in each calendar year are contained in the AMSP annual reports.


Subject(s)
Meningococcal Infections , Neisseria meningitidis , Humans , Australia/epidemiology , Meningococcal Infections/epidemiology , Meningococcal Infections/microbiology , Serogroup , Population Surveillance , Disease Notification
19.
Article in English | MEDLINE | ID: mdl-38926916

ABSTRACT

Abstract: The reference laboratories of the Australian Meningococcal Surveillance Programme (AMSP) report data on the number of cases of invasive meningococcal disease (IMD) confirmed by laboratory testing using culture and molecular based techniques. Data contained in quarterly reports are restricted to a description of case numbers of IMD by jurisdiction and serogroup, where known. A full analysis of laboratory confirmations of IMD in each calendar year are contained in the AMSP annual reports.


Subject(s)
Meningococcal Infections , Neisseria meningitidis , Australia/epidemiology , Humans , Meningococcal Infections/epidemiology , Meningococcal Infections/microbiology , Population Surveillance , Serogroup
20.
Article in English | MEDLINE | ID: mdl-38926917

ABSTRACT

Abstract: The Australian National Neisseria Network (NNN) comprises reference laboratories in each state and territory that report data on antimicrobial susceptibility testing to an agreed group of antimicrobial agents for the Australian Gonococcal Surveillance Programme (AGSP). The AGSP data are presented quarterly in tabulated form, as well as in the AGSP annual report. This report presents national gonococcal antimicrobial resistance surveillance data from 1 October to 31 December 2023.


Subject(s)
Anti-Bacterial Agents , Drug Resistance, Bacterial , Gonorrhea , Microbial Sensitivity Tests , Neisseria gonorrhoeae , Australia/epidemiology , Neisseria gonorrhoeae/drug effects , Humans , Gonorrhea/epidemiology , Gonorrhea/microbiology , Gonorrhea/drug therapy , Anti-Bacterial Agents/pharmacology , Population Surveillance
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