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Background With the high burden of Metabolic dysfunction-associated steatotic liver disease (MASLD), (previously known as Non-Alcoholic Fatty Liver Disease - NAFLD) in the community, current models of care that require specialist review for disease risk stratification overwhelm hospital clinic capacity and create inefficiencies in care. The LOCal Assessment and Triage Evaluation of Non-Alcoholic Fatty Liver Disease (LOCATE-NAFLD) randomised trial compared usual care to a community-based nurse delivered liver risk assessment. This study evaluates the implementation strategy of the LOCATE model. Methods The evaluation used mixed methods (quantitative trial data and qualitative framework analysis of semi-structured interviews) to explore the general practitioner (GP) and patient perspectives of acceptability (Acceptability Framework), and factors associated with reach, effectiveness, adoption, implementation, and maintenance (RE-AIM framework) of the LOCATE model of care. Results The LOCATE model was considered highly acceptable by both patients and GPs. The model of care achieved appropriate reach across the participating health services, reaching high-risk patients faster than usual care and with predominantly positive patient experiences. A notable reduction in anxiety and stress was experienced in the intervention group due to the shorter waiting times between referral and assessment. There was an overall perception of confidence in nursing staff capability to perform the community-based screening and GPs indicated confidence in managing low-risk MASLD without the need for specialist review. Challenges to implementation, adoption and maintenance included variable prioritisation of liver disease assessment in complex cases, the need for further GP training in MASLD assessment and treatment pathways, available funding and referral pathways for community screening, and accessibility of effective diet and exercise professional support. Conclusion Nurse delivered community-based liver screening is highly acceptable to GPs and patients and has shown to be an effective mechanism to identify high risk patients. Adoption and maintenance of the model of care faces significant challenges related to affordable access to screening, prioritisation of liver disease in complex patient cohorts, and unresolved difficulties in prescribing effective strategies for sustained lifestyle intervention in the primary care setting. Trial registration The trial was registered on 30 January 2020 and can be found via Australian New Zealand Clinical Trials Registry (ANZCTR) – ACTRN12620000158965.

Background In Australia, the overall prevalence of liver disease is increasing. Maximising uptake of community screening programmes by understanding patient preferences is integral to developing consumer-centred care models for liver disease. Discrete choice experiments (DCEs) are widely used to elicit preferences for various healthcare services. Attribute development is a vital component of a well-designed DCE and should be described in sufficient detail for others to assess the validity of outcomes. Hence, this study aimed to create a list of potential attributes and levels which can be used in a DCE study to elicit preferences for chronic liver disease screening programmes. Methods Key attributes were developed through a multi-stage, mixed methods design. Focus groups were held with consumers and health care providers on attributes of community screening programmes for liver disease. Stakeholders then prioritised attributes generated from the focus group in order of importance via an online prioritisation survey. The outcomes of the prioritisation exercise were then reviewed and refined by an expert panel to ensure clinically meaningful levels and relevance for a DCE survey. Results Fifteen attributes were generated during the focus group sessions deemed necessary to design liver disease screening services. Outcomes of the prioritisation exercise and expert panel stages recognised five attributes, with three levels each, for inclusion in a DCE survey to elicit consumer preferences for community screening for liver disease. This study also highlights broader social issues such as the stigma around liver disease that require careful consideration by policy makers when designing or implementing a liver screening programme. Conclusions The attributes and levels identified will inform future DCE surveys to understand consumer preferences for community screening programmes for liver disease. In addition, the outcomes will help inform the implementation of the LOCATE-NAFLD programme in real-world practice, and could be relevant for other liver and non-liver related chronic disease screening programmes.

Background Optimal management of cirrhosis is complex, and patients often lack knowledge and skills, which can affect self-management. We assessed patient knowledge about cirrhosis and examined whether knowledge was associated with clinical outcomes, healthcare service use, and healthcare costs. A cross-sectional ‘knowledge survey’ was conducted during 2018–2020. We assessed patient knowledge about cirrhosis and explore whether knowledge was associated with clinical outcomes, healthcare service use, and costs. Methods Patients with cirrhosis (n = 123) completed a ‘knowledge survey’. We calculated the proportion of correct answers to eight questions deemed to be “key knowledge” about cirrhosis by an expert panel, and dichotomized patients as ‘good knowledge’/‘poor knowledge’. Clinical data, healthcare costs, and health-related quality of life (SF-36) were available. Results 58.5% of patients had ‘good knowledge’ about cirrhosis. Higher education level was associated with higher odds of having ‘good knowledge’ about cirrhosis (adjusted-OR = 5.55, 95%CI 2.40–12.84). Compared to patients with ‘poor knowledge’, those with ‘good knowledge’ had a higher health status in the SF-36 physical functioning domain ( p  = 0.011), fewer cirrhosis-related admissions (adjusted incidence rate ratio [IRR] = 0.59, 95%CI 0.35–0.99) and emergency presentations (adj-IRR = 0.34, 95%CI 0.16–0.72), and more planned 1-day cirrhosis admissions (adj-IRR = 3.96, 95%CI 1.46–10.74). The total cost of cirrhosis admissions was lower for patients with ‘good knowledge’ (adj-IRR = 0.30, 95%CI 0.29–0.30). Conclusion Poor disease knowledge is associated with increased use and total cost of healthcare services. Targeted educational interventions to improve patient knowledge may be an effective strategy to promote a more cost-effective use of healthcare services.

Purpose: To better understand the relevance of environmental factors to the changing patterns of bone cancer subtypes, we examine the incidence of osteosarcoma (OS), Ewing sarcoma (ES), and chondrosarcoma (CS) using data from cancer incidence in five continents. Methods: Age-specific and age-standardized incidence rates (ASRs) per 100,000 person-years were computed and stratified by country (n = 43), subtype, and sex during 2003–2007. Temporal patterns of ASRs were examined during 1988–2007 (12 countries). Age–period–cohort models were fitted for the USA and UK by subtype. Results: For most countries, OS represented 20–40 % of all bone cancers, ES < 20 %, while CS proportions varied more considerably. Overall ASRs of bone cancers were 0.8–1.2/100,000 in men and 0.5–1.0 in women (0.20–0.35/100,000 for OS and 0.10–0.30/100,000 for CS in both men and women, and <0.10–0.25/100,000 in men and 0.05–0.25/100,000 in women for ES). The age-specific incidence rates revealed a bimodal peak of OS, one peak of ES in childhood, and a more heterogeneous pattern for CS. The overall bone cancer incidence trends are generally flat, but more heterogeneous for ES and CS. A declining OS incidence was observed in the UK and USA (men), an increase in CS in the UK and USA (female), and an apparent increase in ES, followed by a leveling off in successive US and UK cohorts. Conclusion: Monitoring bone cancer incidence trends with data assembled from a geographically broader range of registries may generate hypotheses about additional risk factors and ensure that high-risk populations are not overlooked in cancer control efforts.

Background Non-alcoholic fatty liver disease (NAFLD) is an emerging epidemic that affects approximately half of all people with type 2 diabetes. Those with type 2 diabetes are a high-risk NAFLD subgroup because of their increased risk of clinically significant liver-related outcomes from NAFLD which include hepatocellular carcinoma, cirrhosis-related complications and liver disease mortality. They may benefit from early detection of disease as this would allow at risk patients to access hepatocellular carcinoma surveillance, emerging drug trials for NAFLD and specialist hepatology care prior to emergence of liver-related complications. Methods This is a prospective cohort study aimed at incorporating and assessing a community care pathway for liver fibrosis screening into routine care for type 2 diabetes. Patients undergo a point of care assessment of hepatic steatosis and stiffness using FibroScan at the time of the routine diabetes appointment or when attending the clinic for blood tests in preparation for this appointment. Discussion We propose that implementation of a community-based NAFLD diagnosis, risk-stratification, and referral pathway for people with type 2 diabetes is feasible, will provide earlier, targeted detection of advanced fibrosis, and reduce unnecessary referrals to hepatology outpatients for fibrosis risk assessment. Our study will provide important information about the feasibility of establishing a NAFLD pathway for people with type 2 diabetes in primary care. Ultimately, our findings will help direct spending and resource allocation for NAFLD in a high-risk population. Regular evaluation by stakeholders during implementation will help to create a reliable and sustainable community care pathway and establish a perpetual cycle of learning in primary care. Trial registration ANZCTR, ACTRN12621000330842 . Registered 23 March 2021.

•The design, measures and quality of included studies varied substantially.•Low risk of bias studies found less cancer screening among women with comorbidity.•The effect of specific chronic conditions needs investigation.•Reasons for underscreening among women with comorbidity need to be explored. Comorbidity is associated with poor outcomes for cancer patients but it is less clear how it influences cancer prevention and early detection. This review synthesizes evidence from studies that have quantified the association between comorbidity and participation in breast and cervical screening. PubMed, CINAHL and EMBASE databases were systematically searched using key terms related to cancer screening and comorbidity for original research articles published between 1 January 1991 and 21 March 2016. Two reviewers independently screened 1283 studies that met eligibility criteria related to Population (adult, non-cancer populations), Exposure (comorbidity), Comparison (a ‘no comorbidity’ group), and Outcome (participation in breast cancer or cervical screening). Data was extracted and risk of bias assessed using a standardised tool from the 22 studies identified for inclusion (17 breast; 13 cervical). Meta-analyses were performed for participation in breast and cervical screening, stratified by important study characteristics. The majority of studies were conducted in the United States. Results of individual studies were variable. Most had medium to high risk of bias. Based on the three “low risk of bias” studies, mammography screening was less common among those with comorbidity (pooled Odds Ratio 0.66, 95%CI 0.44–0.88). The one “low risk of bias” study of cervical screening reported a negative association between comorbidity and participation. While a definitive conclusion could not be drawn, the results from high quality studies suggest that women with comorbidity are less likely to participate in breast, and possibly cervical, cancer screening.

Background Liver disease is an important contributor to the mortality gap between First Nations Peoples and non-Indigenous Australian adults. Despite a high burden of metabolic comorbidities among First Nations Peoples, data about the epidemiology of metabolic dysfunction-associated steatotic liver disease (MASLD) in this population is scarce. Methods A retrospective analysis of all adults hospitalized with MASLD or metabolic dysfunction-associated steatohepatitis (MASH) with/without cirrhosis during 2007–2019 in the state of Queensland was performed. Patients were followed from the first admission with MASLD/MASH (identified based on validated algorithms) to decompensated cirrhosis and overall mortality. We explored differences according to Indigenous status using Multivariable Cox regression. Findings 439 First Nations Peoples and 7,547 non-Indigenous Australians were followed for a median of 4.6 years (interquartile range 2.7–7.2). Overall, women were overrepresented, but more so in the First Nations cohort (72.7% vs. 57.0%, p  < 0.001). First Nations patients were younger, a higher proportion lived in remote and socioeconomic disadvantaged areas, and had higher comorbidity compared to non-Indigenous Australians (all p  < 0.001). Diabetes, the most common comorbidity affecting both groups, was overrepresented in First Nations Peoples versus non-Indigenous Australians (43.5% vs. 30.8%, p  < 0.001, respectively). Nineteen (4.3%) First Nations Peoples and 332 (4.4%) of non-Indigenous patients progressed to cirrhosis decompensation (9.0% [95%CI 4.5–17.7] vs. 7.7% [95%CI 6.6–8.9; p  = 0.956] respectively within 10 years). In multivariable analysis, there was no association between Indigenous status and progression to decompensated cirrhosis ( p  = 0.759) and survival ( p  = 0.437). Conclusions This study provides the first population-based epidemiological data on MASLD in First Nations Australians. The high prevalence of diabetes (that is associated with advanced fibrosis and liver disease mortality) among young First Nations Peoples with MASLD raises concern about future risk of progressive liver disease in this patient population. These data highlight the importance of early identification of MASLD, and providing culturally appropriate intervention to reduce disease progression in parallel with the management of cardiometabolic comorbidities.

ObjectiveThe prevalence of non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) cirrhosis is often underestimated in healthcare and administrative databases that define disease burden using International Classification of Diseases (ICD) codes. This retrospective audit was conducted to explore the accuracy and limitations of the ICD, Tenth Revision, Australian Modification (ICD-10-AM) to detect NAFLD, metabolic risk factors (obesity and diabetes) and other aetiologies of chronic liver disease.Design/MethodICD-10-AM codes in 308 admitted patient encounters at two major Australian tertiary hospitals were compared with data abstracted from patients’ electronic medical records. Accuracy of individual codes and grouped combinations was determined by calculating sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and Cohen’s kappa coefficient (κ).ResultsThe presence of an ICD-10-AM code accurately predicted the presence of NAFLD/NASH (PPV 91.2%) and obesity (PPV 91.6%) in most instances. However, codes underestimated the prevalence of NAFLD/NASH and obesity by 42.9% and 45.3%, respectively. Overall concordance between clinical documentation and ‘grouped alcohol’ codes (κ 0.75) and hepatitis C codes (κ 0.88) was high. Hepatitis B codes detected false-positive cases in patients with previous exposure (PPV 55.6%). Accuracy of codes to detect diabetes was excellent (sensitivity 95.8%; specificity 97.6%; PPV 94.9%; NPV 98.1%) with almost perfect concordance between codes and documentation in medical records (κ 0.93).ConclusionRecognition of the utility and limitations of ICD-10-AM codes to study the burden of NAFLD/NASH cirrhosis is imperative to inform public health strategies and appropriate investment of resources to manage this burgeoning chronic disease.

Little is known about the impact of comorbidity on cervical cancer survival in Australian women, including whether Indigenous women's higher prevalence of comorbidity contributes to their lower survival compared to non-Indigenous women. Data for cervical cancers diagnosed in 2003-2012 were extracted from six Australian state-based cancer registries and linked to hospital inpatient records to identify comorbidity diagnoses. Five-year cause-specific and all-cause survival probabilities were estimated using the Kaplan-Meier method. Flexible parametric models were used to estimate excess cause-specific mortality by Charlson comorbidity index score (0,1,2+), for Indigenous women compared to non-Indigenous women. Of 4,467 women, Indigenous women (4.4%) compared to non-Indigenous women had more comorbidity at diagnosis (score ≥1: 24.2% vs. 10.0%) and lower five-year cause-specific survival (60.2% vs. 76.6%). Comorbidity was associated with increased cervical cancer mortality for non-Indigenous women, but there was no evidence of such a relationship for Indigenous women. There was an 18% reduction in the Indigenous: non-Indigenous hazard ratio (excess mortality) when comorbidity was included in the model, yet this reduction was not statistically significant. The excess mortality for Indigenous women was only evident among those without comorbidity (Indigenous: non-Indigenous HR 2.5, 95%CI 1.9-3.4), indicating that factors other than those measured in this study are contributing to the differential. In a subgroup of New South Wales women, comorbidity was associated with advanced-stage cancer, which in turn was associated with elevated cervical cancer mortality. Survival was lowest for women with comorbidity. However, there wasn't a clear comorbidity-survival gradient for Indigenous women. Further investigation of potential drivers of the cervical cancer survival differentials is warranted. The results highlight the need for cancer care guidelines and multidisciplinary care that can meet the needs of complex patients. Also, primary and acute care services may need to pay more attention to Indigenous Australian women who may not obviously need it (i.e. those without comorbidity).

ObjectiveThe utility of International Classification of Diseases (ICD) codes relies on the accuracy of clinical reporting and administrative coding, which may be influenced by country-specific codes and coding rules. This study explores the accuracy and limitations of the Australian Modification of the 10th revision of ICD (ICD-10-AM) to detect the presence of cirrhosis and a subset of key complications for the purpose of future large-scale epidemiological research and healthcare studies.Design/methodICD-10-AM codes in a random sample of 540 admitted patient encounters at a major Australian tertiary hospital were compared with data abstracted from patients’ medical records by four blinded clinicians. Accuracy of individual codes and grouped combinations was determined by calculating sensitivity, positive predictive value (PPV), negative predictive value and Cohen’s kappa coefficient (κ).ResultsThe PPVs for ‘grouped cirrhosis’ codes (0.96), hepatocellular carcinoma (0.97) ascites (0.97) and ‘grouped varices’ (0.95) were good (κ all >0.60). However, codes under-detected the prevalence of cirrhosis, ascites and varices (sensitivity 81.4%, 61.9% and 61.3%, respectively). Overall accuracy was lower for spontaneous bacterial peritonitis (‘grouped’ PPV 0.75; κ 0.73) and the poorest for encephalopathy (‘grouped’ PPV 0.55; κ 0.21). To optimise detection of cirrhosis-related encounters, an ICD-10-AM code algorithm was constructed and validated in an independent cohort of 116 patients with known cirrhosis.ConclusionMultiple ICD-10-AM codes should be considered when using administrative databases to study the burden of cirrhosis and its complications in Australia, to avoid underestimation of the prevalence, morbidity, mortality and related resource utilisation from this burgeoning chronic disease.