Health services costs for cancer care in Australia: Estimates from the 45 and Up Study

Out-of-pocket costs for patients diagnosed with high-grade glioma and their carers

Background

This study aimed to describe the out-of-pocket costs incurred by patients diagnosed with high-grade glioma (HGG) and their carers in the standard care arm of the Care-IS trial in the 6 to 8 months following their diagnosis.

Methods

Carers completed monthly cost surveys detailing the out-of-pocket costs incurred by patients and carers over a 6-month period. Seventy carers reported out-of-pocket costs at baseline (within 2 months following patient diagnosis), and a maximum of 50% of participants reported costs in any subsequent month. Costs were adjusted to 2023 AUD and reported as medians with an interquartile range. Demographic factors were assessed to determine if any were significantly associated with being in the first or fourth quartile of total out-of-pocket costs at baseline.

Results

Median monthly costs for patient-carer dyads were highest at baseline ($535[IQR:$170-$930]), and 2 months post-recruitment ($314 [IQR:$150-$772]). The largest contributors to patient-carer costs were patient health service use and patient medications. Patient and carer health service use and medication costs varied over time. The median health service use and medication out-of-pocket costs for patients and carers were mostly below $100 per month; however, there was a large variance in the upper 75th percentile for these cost categories. No factors were significantly associated with higher baseline out-of-pocket costs.

Conclusions

A HGG diagnosis has a significant and sustained financial impact on people who are diagnosed and their carers. Patients experience significant additional costs relating to their diagnosis and travel to receive care, and their carers also continue to experience sustained costs whilst managing the additional tasks associated with informal caregiving.

Cancer driven direct medical costs in Bangladesh: Evidence from patient perspective

BACKGROUND

Cancer treatment costs are rising, and the disease is becoming a major challenge to healthcare systems in developing countries like Bangladesh. The direct medical costs of cancer have yet to be comprehensively studied in the country. Hence, the study aimed to estimate the direct medical costs associated with cancer from patients' perspective.

METHODS

This cross-sectional study was conducted in two tertiary specialised cancer hospitals. Data on direct medical costs incurred during treatment in the last three months were collected. The average per-patient costs for cancer treatment were computed and stratified by cancer sites, stages, and types of health facilities. A generalised linear model was used to test the mean cost difference in healthcare services by cancer sites, stages, and type of health facility.

RESULTS

Overall, the per-patient direct medical costs were BDT 41,019 (US$477), with 33 % allocated to hospitalisation (BDT 13,420; $156) followed by 29 % for surgery (BDT 11,833; $138). Patients with gallbladder (BDT 94,722; $1101), brain (BDT 82,608; $961), and esophageal cancer (BDT 82,556; $960) had the highest average treatment costs. The mean costs per patient were BDT 42,050 ($489), BDT 40,583 ($472), BDT 40,892 ($475), BDT 38,252 ($445) and BDT 53,306 ($620) for disease stages 0, I, II, III, and IV, respectively. The costs increased by 0.63 % from stage I to II but decreased by 7 % from stage II to III while rising sharply by 39 % from stage III to IV. The costs for patients with gallbladder, pancreatic and brain cancer were significantly higher at BDT 51,194 ($595), BDT 43,637 ($507) and BDT 39,338 ($457) compared to patients with oral cancer, respectively. On average, per-patient costs were 5 % higher in private health facility (BDT 42,947; $499) compared to public hospital (BDT 40,743; $474).

CONCLUSION

This study reveals that cancer treatment costs are high in advanced stages and in private hospital. The findings suggest that earlier diagnosis and financial subsidies may help curb the ongoing high cancer treatment costs.

Emerging burden of post-cancer therapy complications on unplanned hospitalisation and costs among Australian cancer patients: a retrospective cohort study over 14 years

Cancer treatment using systemic therapy and radiotherapy may cause post-therapy complications, resulting in increased unplanned hospitalisation. The evidence on such complications, their impact on unplanned hospitalisations, and associated costs is scant in Australia. We aimed to estimate the prevalence of post-therapy complications, evaluate their impact on unplanned hospitalisation, length of stay (LOS) and investigate the associated medical costs. A retrospective cohort study was conducted among 8,633 cancer patients (1.03 million emergency hospital admissions) in Victoria, Australia from July 2006 to June 2020, from the Australian healthcare system perspective. Multivariate generalised linear regression models were employed to estimate the adjusted association between post-therapy complications and clinical characteristics with hospital LOS and associated hospitalisation medical costs. Approximately 52% of patients were male with an average patient age of 59.9 years. Annually, post-therapy complications leading to unplanned hospitalisations increased by 7.25%, outpacing the growth in overall hospitalisation admissions, which was 5.66% for overall hospitalisation admissions. A significant proportion of patients (71%) experienced multiple complications, with the most common being anemia (26%), sepsis (15%), nausea and vomiting (14%), and neutropenia (11%). Patients undergoing combined systemic and radiotherapy exhibited higher odds of post-therapy complications (OR = 8.24, 95%CI: 7.48 to 9.08) compared with those who only received systemic therapy. Mean hospital stay among patients who experienced post-therapy complications was 2.23 days per admission (360 days per patient), an extra 1.72 days per admission [95%CI: 1.68 to 1.76; 354 days per patient, 95%CI: 336 to 371 days] longer than patients without complications (0.51 days per admission and 6.48 days per patients). Overall, per-admission medical hospitalisation costs among patients with post-therapy complications were $8,791 higher than for patients who did not experience complications ($11,418 vs. $2,627 per admission, 95%CI: $8,685 to $8,897). Per-patient costs for unplanned hospitalisation due to post-therapy complications were significantly $1.82 million higher among patients than those without complications ($1.86 million vs. $33,599 per patient, 95%CI: $1.71 million to $1.94 million). The cost and hospitalisation stay (in days) varied by the type of therapy and cancer type. The study results indicate that post-therapy complications in cancer patients varied by the type of cancer and increased over the study period, leading to longer unplanned hospital stays and higher hospitalisation medical costs. The results highlight the need for better-customized treatment delivery strategies to address this burden and optimise resources in cancer care.

A cross-case study comparison of Australian metropolitan and regional cancer nurses' experiences of work-related stressors and supports

BACKGROUND

Registered nurses are the largest single professional group working in the field of cancer care and support one of the most vulnerable patient cohorts in the healthcare system. Cancer nurses are known to experience high rates of burnout, but there are significant limitations to current research on the unique stressors experienced by this group of nurses, particularly since the emergence of COVID-19.

METHODS

This study employs the Job Demands Resource Model (JD-R model) to better understand the experiences of Victorian cancer nurses' work and describe factors which ameliorate burnout and work-related stress. A multiple case study research design was used in this study, with two groups of cancer nurses making up a total of 30 participants, allocated to separate cases bounded by geographical location. A two-phase study of Victorian cancer nurses in metropolitan and regional healthcare services was conducted from 2019 to 2021. Data included field notes and in-depth interviews. Data analysis used a process of elaborative coding, with a pre-conceived coding framework based on the JD-R model. A combination of thematic analysis and storyline analysis was employed to analyse the data.

RESULTS

A cross-case analysis of similarities and differences identified the job demands affecting cancer nurses, and conversely, any positive job resources which may buffer these demands. Job demands identified in both cases appeared to have similar causes but were more explicitly linked to poor resourcing in the regional case. Job resources identified in both cases were similar, but it was noted how few job resources were available to buffer the many demands inherent in cancer nurses' work. This multiple case study found that the work of cancer nurses is high in demands and low in resources.

CONCLUSIONS

Despite challenging work conditions, findings identified a highly engaged workforce. The job resources identified in this study suggest there are modifiable strategies to cultivate a supportive work environment for cancer nurses.

Cost of Illness Study on Oral Cancer in Australia

OBJECTIVES

The aim of this study is to estimate the economic burden of oral cancer in Australia from the societal perspective.

METHODS

The population consisted of the prevalence of lip and oral cavity cancer, and other lip, oral cavity, and pharynx cancers for ages 40 years and older. Healthcare costs of oral cancer were estimated using 2019-2020 Australian Disease Expenditure Data. Productivity losses were estimated using disability-adjusted life years, derived from the 2019 Global Burden of Disease Study and 2019 Australian gross domestic product per capita.

RESULTS

The estimated annual healthcare costs for oral cancer in Australia were approximately AUD$113.2 million. Over half of the total healthcare costs (54%) were attributable to public hospital admissions (AUD$61.2 million), followed by private hospital services (28%) and pharmaceutical benefits (8%). The total costs, including healthcare and productivity losses, were around AUD$2.1 billion. The productivity losses due to oral cancer were higher for males compared to females (AUD$1.5 billion versus AUD$0.6 billion).

CONCLUSIONS

The study reveals a significant economic burden of oral cancer for 2019 in Australia at AUD$2.1 billion, largely due to productivity losses and public hospital admissions. This highlights the need for effective screening and prevention programs.

Toward value-based care using cost mining: cost aggregation and visualization across the entire colorectal cancer patient pathway

BACKGROUND

The aim of this study is to develop a method we call "cost mining" to unravel cost variation and identify cost drivers by modelling integrated patient pathways from primary care to the palliative care setting. This approach fills an urgent need to quantify financial strains on healthcare systems, particularly for colorectal cancer, which is the most expensive cancer in Australia, and the second most expensive cancer globally.

METHODS

We developed and published a customized algorithm that dynamically estimates and visualizes the mean, minimum, and total costs of care at the patient level, by aggregating activity-based healthcare system costs (e.g. DRGs) across integrated pathways. This extends traditional process mining approaches by making the resulting process maps actionable and informative and by displaying cost estimates. We demonstrate the method by constructing a unique dataset of colorectal cancer pathways in Victoria, Australia, using records of primary care, diagnosis, hospital admission and chemotherapy, medication, health system costs, and life events to create integrated colorectal cancer patient pathways from 2012 to 2020.

RESULTS

Cost mining with the algorithm enabled exploration of costly integrated pathways, i.e. drilling down in high-cost pathways to discover cost drivers, for 4246 cases covering approx. 4 million care activities. Per-patient CRC pathway costs ranged from $10,379 AUD to $41,643 AUD, and varied significantly per cancer stage such that e.g. chemotherapy costs in one cancer stage are different to the same chemotherapy regimen in a different stage. Admitted episodes were most costly, representing 93.34% or $56.6 M AUD of the total healthcare system costs covered in the sample.

CONCLUSIONS

Cost mining can supplement other health economic methods by providing contextual, sequence and timing-related information depicting how patients flow through complex care pathways. This approach can also facilitate health economic studies informing decision-makers on where to target care improvement or to evaluate the consequences of new treatments or care delivery interventions. Through this study we provide an approach for hospitals and policymakers to leverage their health data infrastructure and to enable real time patient level cost mining.

Financial burden of complications following lung resection: a scoping review protocol

INTRODUCTION

Global healthcare expenditures are rising, driven largely by increased spending in both high- and low-income countries with hospitalisation as a primary contributor. Respiratory diseases, particularly lung cancer, pose significant public health and economic challenges with thoracic surgery as the standard curative treatment. Complications post resection, such as arrhythmias, infections and respiratory failure, result in substantial healthcare costs and resource demands. Although studies have explored the economic impact of surgeries, there is a limited comprehensive analysis of the financial burden of postoperative complications after lung resection surgery. To address this gap, this scoping review aims to map existing literature on lung resection complications and associated costs, providing insights for future research and healthcare policy.

METHODS AND ANALYSIS

This scoping review will be conducting according to the Preferred Reporting Items for Systematic Review and Meta-Analysis Extension for Scoping Reviews standards. Eligible peer-reviewed articles and grey literature will be identified across Medical Literature Analysis and Retrieval System Online, Excerpta Medica Database and Cochrane Central Register of Controlled Trials. Cost data will be converted into US dollars as per the Federal Reserve Bank of St Louis and adjusted for inflation as per the US Bureau of Labor Statistics Consumer Price Index inflation calculator.

ETHICS AND DISSEMINATION

Ethics approval was not required. The results will be communicated through established professional networks, conference presentations and publication in peer-reviewed journals.

Are there opportunities to improve care as patients transition through the cancer care continuum? A scoping review

PURPOSE

Patients with cancer experience many Transitions in Care (TiC), occurring when a patient's care transfers between healthcare providers or institutions/settings. Among other patient populations, TiC are associated with medical errors, patient dissatisfaction and elevated healthcare use and expenditure. However, our understanding of TiC among patients with cancer is lacking.

OBJECTIVE

To map and characterise evidence about TiC among patients with cancer.

PARTICIPANTS

Adult patients with cancer at any stage in the cancer continuum.

INTERVENTION

Evidence sources exploring TiC among patients with cancer were eligible.

OUTCOME

Evidence sources exploring TiC among patients with cancer using any outcome were eligible.

SETTING

Any setting where a patient with cancer received care.

DESIGN

This scoping review included any study describing TiC among patients with cancer with no restrictions on study design, publication type, publication date or language. Evidence sources, identified by searching six databases using search terms for the population and TiC, were included if they described TiC. Two independent reviewers screened titles/abstracts and full texts for eligibility and completed data abstraction. Quantitative data were summarised using descriptive statistics and qualitative data were synthesised using thematic analysis.

RESULTS

This scoping review identified 801 evidence sources examining TiC among patients with cancer. Most evidence sources focused on the TiC between diagnosis and treatment and breast or colorectal cancer. Six themes emerged from the qualitative evidence sources: the transfer of information, emotional impacts of TiC, continuity of care, patient-related factors, healthcare provider-related factors and healthcare system-related factors. Interventions intended to improve TiC among patients with cancer were developed, implemented or reviewed in 163 evidence sources.

CONCLUSION

While there is a large body of research related to TiC among patients with cancer, there remains a gap in our understanding of several TiC and certain types of cancer, suggesting the need for additional evidence exploring these areas.

Effects of clinical and socioeconomic factors on Medicare and patient costs for colorectal cancer in Australia: a retrospective multivariate regression analysis

OBJECTIVE

We study how clinical and socioeconomic factors influence colorectal cancer (CRC) costs for patients and Medicare in Australia. The study seeks to extend the limited Australian literature on CRC costs by analysing comprehensive patient-level medical services and pharmaceutical cost data.

DESIGN, SETTING AND PARTICIPANTS

Using the Victorian Cancer Registry, we identified all patients in Victoria who were diagnosed with CRC from 2010 to 2019 and extracted their linked 2010-2021 Medicare data. This data includes expenses from the Pharmaceutical Benefits Scheme and Medicare Benefits Schedule services. We examined variables such as disease stage, CRC type, molecular profile, metastasis status and demographics (eg, age, birth country, socioeconomic level via the SEIFA index, and native language). We applied descriptive and log-linear multivariate regression analyses to explore patient and Medicare costs related to CRC treatment.

RESULTS

Costs significantly rise with advanced cancer stages, especially on medication costs. Patients' average out-of-pocket (OOP) expenses are roughly $A441 per year. Key cost influencers are gender, age and socioeconomic status. On average, males incur 13.5% higher annual costs, a significantly larger OOP expense, than females. Compared with patients aged 50 or below, there is a 7.1% cost increase for individuals aged 50-70 and an 8.8% decrease post-70, likely reflecting less intensive treatment for the elderly. Socioeconomic factors show a clear gradient. Wealthier areas experience higher costs, especially among native English speakers. Costs also vary based on cancer's anatomical location and specific genetic mutations.

CONCLUSION

The research highlights that CRC treatment expenses for patients and Medicare differ considerably due to factors such as diagnostic stage, demographics, anatomical location of the tumour and mutations. These cost variations lead to concerns about healthcare equality and decision-making autonomy. Policymakers may need to focus on early detection, increased support for advanced-stage patients, gender-sensitive healthcare, and equitable access to treatment across different socioeconomic groups.

Three-year hospital service use trajectories of people diagnosed with cancer: A retrospective cohort study

BACKGROUND

Information regarding hospital service use by people newly diagnosed with cancer can inform patterns of healthcare utilisation and resource demands. This study aims to identify characteristics of group-based trajectories of hospital service use three years after an individual was diagnosed with cancer; and determine factors predictive of trajectory group membership.

METHOD

A group-based trajectory analysis of hospital service use of people aged ≥30 years who had a new diagnosis of cancer during 2018 in New South Wales, Australia was conducted. Linked cancer registry, hospital and mortality data were examined for a three-year period after diagnosis. Group-based trajectory models were derived based on number of hospital admissions. Multinominal logistic regression examined predictors of trajectory group membership.

RESULTS

Of the 44,577 new cancer diagnosis patients, 29,085 (65.2 %) were hospitalised at least once since their cancer diagnosis. Four distinct trajectory groups of hospital users were identified: Low (68.4 %), Very-Low (25.1 %), Moderate-Chronic (2.2 %), and Early-High (4.2 %). Key predictors of trajectory group membership were age group, cancer type, degree of cancer spread, prior history of cancer, receiving chemotherapy, and presence of comorbidities, including renal disease, moderate/serious liver disease, or anxiety.

CONCLUSIONS

Comorbidities should be considered in cancer treatment and management decision making. Caring for people diagnosed with cancer with multimorbidity requires multidisciplinary shared care.

Costs and benefits of a formal quality framework for colonoscopy: Economic evaluation

Background and study aims Reduction of colorectal cancer morbidity and mortality is one of the primary objectives of colonoscopy. Post-colonoscopy colorectal cancers (PCCRCs) are critical outcome parameters. Analysis of PCCRC rates can validate quality assurance measures in colonoscopy. We assessed the effectiveness of implementing a gastroenterologist-led quality framework that monitors key procedure quality indicators (i.e., bowel preparation quality, adenoma detection rates, or patient satisfaction) by comparing the PCCRC rate before and after implementation. Patients and methods Individuals who had a colonoscopy between 2010 and 2017 at a single tertiary center in Queensland, Australia, were included and divided into two groups: baseline (2010-2014) and redesign phase (2015-2017). Data linkage of the state-wide cancer registry and hospital records enabled identification of subjects who developed colorectal cancers within 5 years of a negative colonoscopy. Costs associated with quality improvement were assessed for effectiveness. Results A total of 19,383 individuals had a colonoscopy during the study period. Seventeen PCCRCs were detected. The PCCRC rate was 0.376 per 1,000 person-years and the average 5-year PCCRC risk ranged from 0.165% to 0.051%. The rate of PCCRCs was higher at the beginning (0.166%; 95% confidence interval [CI] 0.15%-0.17%) compared with the later period with full implementation of quality control measures (0.027%; 95% CI 0.023%-0.03%). The quality process determined an incremental cost-effectiveness ratio of -$5,670.53 per PCCRC avoided. Conclusions This large cohort study demonstrated that a formal gastroenterologist-led quality assurance framework embedded into the routine operations of a clinical department not only reduces interval cancers but is also cost-effective regarding life years gained and quality-adjusted life years.

The neutropenic diet and its impacts on clinical, nutritional, and lifestyle outcomes for people with cancer: a scoping review

The neutropenic diet (ND) is often recommended to people with cancer to reduce infection risk despite recommendations of clinical guidelines advising against its use. While recent literature suggests the ND does not reduce infection risk, other outcomes related to health, nutrition, and lifestyle are unknown. The aim of this review is to systematically scope the literature on the ND in people with cancer for all outcomes related to clinical health, nutrition, and lifestyle. Scientific databases were systematically searched. Eligible studies were in English, people with any cancer type, consuming an ND, any age group, date, or setting. Eligible study types were randomised control trials, observational studies, systematic reviews, and meta-analyses. Twenty-one studies met the inclusion criteria. Outcomes of interest found were infection rates, fever, mortality, antibiotic use, gastrointestinal side effects, comorbidities, biochemistry, hospitalisation, nutritional status, quality of life (QoL), well-being, and financial costs. Most research has focused on infection and mortality rates with few assessing hospitalisation rates, nutritional status, financial costs, and QoL. Most included studies found no significant differences between ND and comparator diet for mortality, antibiotics use, comorbidities, and QoL; however, several studies reported the ND significantly increased the risk of infection. Gaps in the literature included effect of ND on QoL in an adult population, microbiome, lifestyle changes, and financial burden. Further research is needed regarding how the ND affects the microbiome and QoL of its consumers, but in the interim, it is important for hospitals providing an ND to their patients to liberalise the ND wherever possible.

Predicting the Population Health Economic Impact of Current and New Cancer Treatments for Colorectal Cancer: A Data-Driven Whole Disease Simulation Model for Predicting the Number of Patients with Colorectal Cancer by Stage and Treatment Line in Australia

OBJECTIVES

Effective healthcare planning, resource allocation, and budgeting require accurate predictions of the number of patients needing treatment at specific cancer stages and treatment lines. The Predicting the Population Health Economic Impact of Current and New Cancer Treatments (PRIMCAT) for Colorectal Cancer (CRC) simulation model (PRIMCAT-CRC) was developed to meet this requirement for all CRC stages and relevant molecular profiles in Australia.

METHODS

Real-world data were used to estimate treatment utilization and time-to-event distributions. This populated a discrete-event simulation, projecting the number of patients receiving treatment across all disease stages and treatment lines for CRC and forecasting the number of patients likely to utilize future treatments. Illustrative analyses were undertaken, estimating treatments across disease stages and treatment lines over a 5-year period (2022-2026). We demonstrated the model's applicability through a case study introducing pembrolizumab as a first-line treatment for mismatch-repair-deficient stage IV.

RESULTS

Clinical registry data from 7163 patients informed the model. The model forecasts 15 738 incident and 2821 prevalent cases requiring treatment in 2022, rising to 15 921 and 2871, respectively, by 2026. Projections show that over 2022 to 2026, there will be a total of 116 752 treatments initiated, with 43% intended for stage IV disease. The introduction of pembrolizumab is projected for 706 patients annually, totaling 3530 individuals starting treatment with pembrolizumab over the forecasted period, without significantly altering downstream utilization of subsequent treatments.

CONCLUSIONS

PRIMCAT-CRC is a versatile tool that can be used to estimate the eligible patient populations for novel cancer therapies, thereby reducing uncertainty for policymakers in decisions to publicly reimburse new treatments.

Factors impacting hospitalisation and related health service costs in cancer survivors in Australia: Results from a population data linkage study in Queensland (COS-Q)

BACKGROUND

The global economic cost of cancer and the costs of ongoing care for survivors are increasing. Little is known about factors affecting hospitalisations and related costs for the growing number of cancer survivors. Our aim was to identify associated factors of cancer survivors admitted to hospital in the public system and their costs from a health services perspective.

METHODS

A population-based, retrospective, data linkage study was conducted in Queensland (COS-Q), Australia, including individuals diagnosed with a first primary cancer who incurred healthcare costs between 2013 and 2016. Generalised linear models were fitted to explore associations between socio-demographic (age, sex, country of birth, marital status, occupation, geographic remoteness category and socio-economic index) and clinical (cancer type, year of/time since diagnosis, vital status and care type) factors with mean annual hospital costs and mean episode costs.

RESULTS

Of the cohort (N = 230,380) 48.5% (n = 111,820) incurred hospitalisations in the public system (n = 682,483 admissions). Hospital costs were highest for individuals who died during the costing period (cost ratio 'CR': 1.79, p < 0.001) or living in very remote or remote location (CR: 1.71 and CR: 1.36, p < 0.001) or aged 0-24 years (CR: 1.63, p < 0.001). Episode costs were highest for individuals in rehabilitation or palliative care (CR: 2.94 and CR: 2.34, p < 0.001), or very remote location (CR: 2.10, p < 0.001). Higher contributors to overall hospital costs were 'diseases and disorders of the digestive system' (AU$661 m, 21% of admissions) and 'neoplastic disorders' (AU$554 m, 20% of admissions).

CONCLUSIONS

We identified a range of factors associated with hospitalisation and higher hospital costs for cancer survivors, and our results clearly demonstrate very high public health costs of hospitalisation. There is a lack of obvious means to reduce these costs in the short or medium term which emphasises an increasing economic imperative to improving cancer prevention and investments in home- or community-based patient support services.

Cost-effectiveness of Accepting Kidneys From Deceased Donors With Common Cancers-A Modeling Study

BACKGROUND

The disparity between the demand for and supply of kidney transplants has resulted in prolonged waiting times for patients with kidney failure. A potential approach to address this shortage is to consider kidneys from donors with a history of common cancers, such as breast, prostate, and colorectal cancers.

METHODS

We used a patient-level Markov model to evaluate the outcomes of accepting kidneys from deceased donors with a perceived history of breast, prostate, or colorectal cancer characterized by minimal to intermediate transmission risk. Data from the Australian transplant registry were used in this analysis. The study compared the costs and quality-adjusted life years (QALYs) from the perspective of the Australian healthcare system between the proposed practice of accepting these donors and the conservative practice of declining them. The model simulated outcomes for 1500 individuals waitlisted for a deceased donor kidney transplant for a 25-y horizon.

RESULTS

Under the proposed practice, when an additional 15 donors with minimal to intermediate cancer transmission risk were accepted, QALY gains ranged from 7.32 to 20.12. This translates to an approximate increase of 7 to 20 additional years of perfect health. The shift in practice also led to substantial cost savings, ranging between $1.06 and $2.3 million.

CONCLUSIONS

The proposed practice of accepting kidneys from deceased donors with a history of common cancers with minimal to intermediate transmission risk offers a promising solution to bridge the gap between demand and supply. This approach likely results in QALY gains for recipients and significant cost savings for the health system.

An analysis of the trends in the usage of Pharmaceutical Benefits Scheme-subsidised cancer drugs in Australia from 2012 to 2022

PURPOSE

Cancer treatment remains a significant and escalating healthcare expense worldwide. Although annual reports on total cancer care costs are available, the potential impact of evolving treatment guidelines and the introduction of new drugs on future budgeting remains largely uncertain. The aim of this study was to examine the trends in the use of Pharmaceutical Benefits Scheme (PBS)-subsidised cancer drugs in Australia over the past decade.

METHODS

PBS codes for all PBS-subsidised cancer drugs that were listed in government-endorsed treatment protocols were obtained and used to retrieve usage data. Their patterns of use, represented by the number of prescriptions (services) processed by Services Australia, were analysed for the period between 2012 and 2022.

RESULTS

The overall prescribing of cancer drugs is outpacing Australia's population growth, primarily due to an ageing population and the accelerated rise in cancer diagnoses observed over the past decade. From 846 eviQ protocols, 141 cancer drugs were available on the PBS, of which kinase inhibitor (39 drugs) and monoclonal antibody drugs (24 drugs) had the highest increase in use during the study period; 16% and 23% respectively. Of the 8 drug classes, hormonal agents (20 drugs) were the most prescribed.

CONCLUSION

The utilisation of PBS-listed cancer drugs is increasing faster than population growth, especially for high-cost monoclonal antibody and kinase inhibitor drugs, indicating continued pressure on government spending.

Towards proactive palliative care in oncology: developing an explainable EHR-based machine learning model for mortality risk prediction

BACKGROUND

Ex-ante identification of the last year in life facilitates a proactive palliative approach. Machine learning models trained on electronic health records (EHR) demonstrate promising performance in cancer prognostication. However, gaps in literature include incomplete reporting of model performance, inadequate alignment of model formulation with implementation use-case, and insufficient explainability hindering trust and adoption in clinical settings. Hence, we aim to develop an explainable machine learning EHR-based model that prompts palliative care processes by predicting for 365-day mortality risk among patients with advanced cancer within an outpatient setting.

METHODS

Our cohort consisted of 5,926 adults diagnosed with Stage 3 or 4 solid organ cancer between July 1, 2017, and June 30, 2020 and receiving ambulatory cancer care within a tertiary center. The classification problem was modelled using Extreme Gradient Boosting (XGBoost) and aligned to our envisioned use-case: "Given a prediction point that corresponds to an outpatient cancer encounter, predict for mortality within 365-days from prediction point, using EHR data up to 365-days prior." The model was trained with 75% of the dataset (n = 39,416 outpatient encounters) and validated on a 25% hold-out dataset (n = 13,122 outpatient encounters). To explain model outputs, we used Shapley Additive Explanations (SHAP) values. Clinical characteristics, laboratory tests and treatment data were used to train the model. Performance was evaluated using area under the receiver operating characteristic curve (AUROC) and area under the precision-recall curve (AUPRC), while model calibration was assessed using the Brier score.

RESULTS

In total, 17,149 of the 52,538 prediction points (32.6%) had a mortality event within the 365-day prediction window. The model demonstrated an AUROC of 0.861 (95% CI 0.856-0.867) and AUPRC of 0.771. The Brier score was 0.147, indicating slight overestimations of mortality risk. Explanatory diagrams utilizing SHAP values allowed visualization of feature impacts on predictions at both the global and individual levels.

CONCLUSION

Our machine learning model demonstrated good discrimination and precision-recall in predicting 365-day mortality risk among individuals with advanced cancer. It has the potential to provide personalized mortality predictions and facilitate earlier integration of palliative care.

Increasing bowel cancer screening using SMS in general practice: the SMARTscreen cluster randomised trial

BACKGROUND

Australia has one of the highest incidences of colorectal cancer (CRC) worldwide. The Australian National Bowel Cancer Screening Program (NBCSP) is a best-practice, organised screening programme, but uptake is low (40.9%) and increasing participation could reduce morbidity and mortality associated with CRC. Endorsement by GPs is strongly associated with increasing screening uptake.

AIM

This study (SMARTscreen) aimed to test whether a multi-intervention short message service (SMS) sent by general practices to 50-60-year-old patients who were due to receive the NBCSP kit would increase NBCSP uptake, by comparing it with usual care.

DESIGN AND SETTING

A stratified cluster randomised controlled trial was undertaken, involving 21 Australian general practices in Western Victoria, Australia.

METHOD

For intervention practices, people due to receive the NBCSP kit within a 6-month study period were sent an SMS just before receiving the kit. The SMS included a personalised message from the person's general practice endorsing the kit, a motivational narrative video, an instructional video, and a link to more information. Control practices continued with usual care, comprising at-home testing with a faecal immunochemical test (FIT) through the NBCSP. The primary outcome was the between-arm percentage difference in uptake of FIT screening within 12 months from randomisation, which was estimated using generalised linear model regression.

RESULTS

In total, 39.2% (1143/2914) of people in 11 intervention practices and 23.0% (583/2537) of people in 10 control practices had a FIT result in their electronic health records - a difference of 16.5% (95% confidence interval = 2.02 to 30.9).

CONCLUSION

The SMS intervention increased NBCSP kit return in 50-60-year-old patients in general practice. This finding informed a larger trial - SMARTERscreen - to test this intervention in a broader Australian population.

Healthcare costs of cancer among children, adolescents, and young adults: A scoping review

OBJECTIVE

To collate and critically review international evidence on the direct health system costs of children and adolescents and young adults (AYA) with cancer.

METHODS

We conducted searches in PubMed, MEDLINE, CINAHL, and Scopus. Articles were limited to studies involving people aged 0-39 years at cancer diagnosis and published from 2012 to 2022. Two reviewers screened the articles and evaluated the studies using the Consolidated Health Economic Evaluation Reporting Standards checklist. The reviewers synthesized the findings using a narrative approach and presented the costs in 2022 US dollars for comparability.

RESULTS

Overall, the mean healthcare costs for all cancers in the 5 years post diagnosis ranged from US$36,670 among children in Korea to US$127,946 among AYA in the USA. During the first year, the mean costs among children 0-14 years ranged from US$34,953 in Chile to over US$130,000 in Canada. These were higher than the costs for AYA, estimated at US$61,855 in Canada. At the end of life, the mean costs were estimated at over US$300,000 among children and US$235,265 among adolescents in Canada. Leukemia was the most expensive cancer type, estimated at US$50,133 in Chile, to US$152,533 among children in Canada. Overall, more than a third of the total cost is related to hospitalizations. All the included studies were of good quality.

CONCLUSIONS

Healthcare costs associated with cancer are substantial among children, and AYA. More research is needed on the cost of cancer in low- and middle-income countries and harmonization of costs across countries.

Effect of exercise interventions on hospital length of stay and admissions during cancer treatment: a systematic review and meta-analysis

OBJECTIVE

To assess the effect of participating in an exercise intervention compared with no exercise during cancer treatment on the duration and frequency of hospital admissions.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

MEDLINE, EMBASE, PEDro and Cochrane Central Registry of Randomized Controlled Trials.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Randomised studies published until August 2023 evaluating exercise interventions during chemotherapy, radiotherapy or stem cell transplant regimens, compared with usual care, and which assessed hospital admissions (length of stay and/or frequency of admissions).

STUDY APPRAISAL AND SYNTHESIS

Study quality was assessed using the Cochrane Risk-of-Bias tool and Grading of Recommendations Assessment, Development and Evaluation assessment. Meta-analyses were conducted by pooling the data using random-effects models.

RESULTS

Of 3918 screened abstracts, 20 studies met inclusion criteria, including 2635 participants (1383 intervention and 1252 control). Twelve studies were conducted during haematopoietic stem cell transplantation regimens. There was a small effect size in a pooled analysis that found exercise during treatment reduced hospital length of stay by 1.40 days (95% CI: -2.26 to -0.54 days; low-quality evidence) and lowered the rate of hospital admission by 8% (difference in proportions=-0.08, 95% CI: -0.13 to -0.03, low-quality evidence) compared with usual care.

CONCLUSION

Exercise during cancer treatment can decrease hospital length of stay and admissions, although a small effect size and high heterogeneity limits the certainty. While exercise is factored into some multidisciplinary care plans, it could be included as standard practice for patients as cancer care pathways evolve.

Estimating the economic burden of colorectal cancer in China, 2019-2030: A population-level prevalence-based analysis

BACKGROUND

Colorectal cancer (CRC) is one of the most common cancers worldwide. Comprehensive data on the economic burden of CRC at a population-level is critical in informing policymaking, but such data are currently limited in China.

METHODS

From a societal perspective, the economic burden of CRC in 2019 was estimated, including direct medical and nonmedical expenditure, disability, and premature-death-related indirect expenditure. Data on disease burden was taken from the GBD 2019 and analyzed using a prevalence-based approach. The per-person direct expenditure and work loss days were from a multicenter study; the premature-death-related expenditure was estimated using a human capital approach. Projections were conducted in different simulated scenarios. All expenditure data were in Chinese Yuan (CNY) and discounted to 2019.

RESULTS

In 2019, the estimated overall economic burden of CRC in China was CNY170.5 billion (0.189% of the local GDP). The direct expenditure was CNY106.4 billion (62.4% of the total economic burden), 91.4% of which was a direct medical expenditure. The indirect expenditure was CNY64.1 billion, of which 63.7% was related to premature death. The predicted burden would reach CNY560.0 billion in 2030 given constant trends for disease burden; however, it would be alternatively reduced to

CONCLUSIONS

The population-level economic burden of CRC in China in 2019 seemed noteworthy, with the direct expenditure accounting for more than half. Without effectively reducing exposure to modifiable factors and expanding screening coverage, the burden would continue increasing.

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Key Words

• China
• colorectal cancer
• costs
• economic burden
• population‐level

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MESH Headings

• Humans
• Colorectal Neoplasms/epidemiology
• Colorectal Neoplasms/economics
• China/epidemiology
• Cost of Illness
• Prevalence
• Male
• Female
• Health Expenditures/statistics & numerical data
• Middle Aged
• Aged
• Adult
• Health Care Costs/statistics & numerical data

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Grants

• A Talent Incentive Plan Sponsored by Cancer Hospital, Chinese Academy of Medical Sciences
• 19-340 An Open Competition Grant from Health Policy and System Sciences of China Medical Board
• 81773521 National Natural Science Foundation of China
• 2019PT320027 The Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences
• National Natural Science Foundation of China

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Affiliation(s)

Hong Wang Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Department of Cancer EpidemiologyThe Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer HospitalZhengzhouChina
Yan‐Jie Li Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
Lin Lei Department of Cancer Control and PreventionShenzhen Center for Chronic Disease ControlShenzhenChina
Cheng‐Cheng Liu Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
Wan‐Qing Chen Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and ImplementChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
Min Dai Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
Xin Wang Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
Jie‐Bin Lew The Daffodil CentreThe University of Sydney, a Joint Venture with Cancer Council New South WalesSydneyAustralia
Ju‐Fang Shi Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and ImplementChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
Ni Li Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and ImplementChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
Jie He Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina

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Collaborators Collapse

Combined population genomic screening for three high-risk conditions in Australia: a modelling study

Background

No previous health-economic evaluation has assessed the impact and cost-effectiveness of offering combined adult population genomic screening for mutliple high-risk conditions in a national public healthcare system.

Methods

This modeling study assessed the impact of offering combined genomic screening for hereditary breast and ovarian cancer, Lynch syndrome and familial hypercholesterolaemia to all young adults in Australia, compared with the current practice of clinical criteria-based testing for each condition separately. The intervention of genomic screening, assumed as an up-front single cost in the first annual model cycle, would detect pathogenic variants in seven high-risk genes. The simulated population was 18-40 year-olds (8,324,242 individuals), modelling per-sample test costs ranging AU$100-$1200 (base-case AU$200) from the year 2023 onwards with testing uptake of 50%. Interventions for identified high-risk variant carriers follow current Australian guidelines, modelling imperfect uptake and adherence. Outcome measures were morbidity and mortality due to cancer (breast, ovarian, colorectal and endometrial) and coronary heart disease (CHD) over a lifetime horizon, from healthcare-system and societal perspectives. Outcomes included quality-adjusted life years (QALYs) and incremental cost-effectiveness ratio (ICER), discounted 5% annually (with 3% discounting in scenario analysis).

Findings

Over the population lifetime (to age 80 years), the model estimated that genomic screening per-100,000 individuals would lead to 747 QALYs gained by preventing 63 cancers, 31 CHD cases and 97 deaths. In the total model population, this would translate to 31,094 QALYs gained by preventing 2612 cancers, 542 non-fatal CHD events and 4047 total deaths. At AU$200 per-test, genomic screening would require an investment of AU$832 million for screening of 50% of the population. Our findings suggest that this intervention would be cost-effective from a healthcare-system perspective, yielding an ICER of AU$23,926 (∼£12,050/€14,110/US$15,345) per QALY gained over the status quo. In scenario analysis with 3% discounting, an ICER of AU$4758/QALY was obtained. Sensitivity analysis for the base case indicated that combined genomic screening would be cost-effective under 70% of simulations, cost-saving under 25% and not cost-effective under 5%. Threshold analysis showed that genomic screening would be cost-effective under the AU$50,000/QALY willingness-to-pay threshold at per-test costs up to AU$325 (∼£164/€192/US$208).

Interpretation

Our findings suggest that offering combined genomic screening for high-risk conditions to young adults would be cost-effective in the Australian public healthcare system, at currently realistic testing costs. Other matters, including psychosocial impacts, ethical and societal issues, and implementation challenges, also need consideration.

Funding

Australian Government, Department of Health, Medical Research Future Fund, Genomics Health Futures Mission (APP2009024). National Heart Foundation Future Leader Fellowship (102604).

Impact of the COVID-19 pandemic on oncological care in Germany: rapid review

OBJECTIVES

The COVID-19 pandemic affected medical care for chronic diseases. This study aimed to systematically assess the pandemic impact on oncological care in Germany using a rapid review.

METHODS

MEDLINE, Embase, study and preprint registries and study bibliographies were searched for studies published between 2020 and 2 November 2022. Inclusion was based on the PCC framework: population (cancer), concept (oncological care) and context (COVID-19 pandemic in Germany). Studies were selected after title/abstract and full-text screening by two authors. Extracted data were synthesized using descriptive statistics or narratively. Risk of bias was assessed and summarized using descriptive statistics.

RESULTS

Overall, 77 records (59 peer-reviewed studies and 18 reports) with administrative, cancer registry and survey data were included. Disruptions in oncological care were reported and varied according to pandemic-related factors (e.g., pandemic stage) and other (non-pandemic) factors (e.g., care details). During higher restriction periods fewer consultations and non-urgent surgeries, and delayed diagnosis and screening were consistently reported. Heterogeneous results were reported for treatment types other than surgery (e.g., psychosocial care) and aftercare, while ongoing care remained mostly unchanged. The risk of bias was on average moderate.

CONCLUSIONS

Disruptions in oncological care were reported during the COVID-19 pandemic in Germany. Such disruptions probably depended on factors that were insufficiently controlled for in statistical analyses and evidence quality was on average only moderate. Research focus on patient outcomes (e.g., longer term consequences of disruptions) and pandemic management by healthcare systems is potentially relevant for future pandemics or health emergencies.

Clinical Guidance on the Monitoring and Management of Trastuzumab Deruxtecan (T-DXd)-Related Adverse Events: Insights from an Asia-Pacific Multidisciplinary Panel

Trastuzumab deruxtecan (T-DXd)-an antibody-drug conjugate targeting the human epidermal growth factor receptor 2 (HER2)-improved outcomes of patients with HER2-positive and HER2-low metastatic breast cancer. Guidance on monitoring and managing T-DXd-related adverse events (AEs) is an emerging unmet need as translating clinical trial experience into real-world practice may be difficult due to practical and cultural considerations and differences in health care infrastructure. Thus, 13 experts including oncologists, pulmonologists and a radiologist from the Asia-Pacific region gathered to provide recommendations for T-DXd-related AE monitoring and management by using the latest evidence from the DESTINY-Breast trials, our own clinical trial experience and loco-regional health care considerations. While subgroup analysis of Asian (excluding Japanese) versus overall population in the DESTINY-Breast03 uncovered no major differences in the AE profile, we concluded that proactive monitoring and management are essential in maximising the benefits with T-DXd. As interstitial lung disease (ILD)/pneumonitis is a serious AE, patients should undergo regular computed tomography scans, but the frequency may have to account for the median time of ILD/pneumonitis onset and access. Trastuzumab deruxtecan appears to be a highly emetic regimen, and prophylaxis with serotonin receptor antagonists and dexamethasone (with or without neurokinin-1 receptor antagonist) should be considered. Health care professionals should be vigilant for treatable causes of fatigue, and patients should be encouraged to use support groups and practice low-intensity exercises. To increase treatment acceptance, patients should be made aware of alopecia risk prior to starting T-DXd. Detailed monitoring and management recommendations for T-DXd-related AEs are discussed further.

Extending the sociology of candidacy: Bourdieu's relational social class and mid-life women's perceptions of alcohol-related breast cancer risk

Alcohol is a modifiable breast cancer risk, increasing risk in a dose-dependent manner. Mid-life women (aged 45-64 years) consume alcohol at higher rates than younger women and this, combined with age, make them a high-risk group for breast cancer. This critical public health problem has a seemingly obvious solution (reduce drinking); however, women do not necessarily know alcohol causes breast cancer, and if they do, reducing consumption is not always possible, or desirable. To innovate public health responses, we employ an interpretative sociological framework 'candidacy' to understand women's perspectives on breast cancer risk relative to alcohol consumption and their social class. Drawing on 50 interviews with Australian mid-life women, our findings reveal the socio-structural determinants of 'candidacy', that mean modifying alcohol consumption for breast cancer prevention is impacted by social class. Utilising Bourdieu's relational capitals, our interpretations show how social class shapes women's ascriptions and enactments of breast cancer candidacy. We offer an important theoretical extension to 'candidacy' by demonstrating more or less fluidity in women's assessment of breast cancer risk according to their agency to adopt breast cancer prevention messages. Understanding the social class possibilities and limitations in women's perceptions of breast cancer risk provides a new opportunity to reduce inequities in breast cancer incidence.

An integrated interpreting service normalizes access to care for culturally and linguistically diverse (CALD) patients with colorectal cancer

AIM

To compare access to the initial management and overall survival with colorectal cancer for limited English proficient (LEP) patients compared with patients from an English background.

METHODS

All newly diagnosed patients from 2017 with colorectal cancer from a single health service with a highly multicultural catchment area and a well-developed and integrated translation and language support (TALS) department were recruited. Time from referral to: biopsy, date seen by a surgeon, oncologist, discussion at a multidisciplinary meeting (MDM), and day of commencement of the first treatment modality, and overall survival were analyzed.

RESULTS

One hundred sixty-two patients were analyzed, including 57 LEP patients from 22 countries of birth. Interpreters were present at 687/782 appointments with LEP patients. There were no differences in demographics or cancer staging. There were no differences between English background and LEP patients with regard to times from referral to biopsy (1 vs. 0 days), specialist review (surgical: 4 vs. 6 days, oncological: 45 vs. 57 days), MDM discussion (23 vs. 15 days), or commencement of treatment (32 vs. 28.5 days). There were no differences in treatment for colorectal cancer, although a higher rate of stomas was noted in LEP patients. There was no difference in overall survival between groups.

CONCLUSION

Time to critical initial checkpoints and overall survival were similar in LEP and English background patients with colorectal cancer. An integrated TALS department may abrogate the language and cultural barriers that are known to disadvantage LEP patients and may contribute to normalizing care for the culturally and linguistically diverse community.

"Somebody was standing in my corner": a mixed methods exploration of survivor, coach, and hospital staff perspectives and outcomes in an Australian cancer survivorship program

PURPOSE

Cancer survivorship in Australia continues to increase due to new methods for early detection and treatment. Cancer survivors face challenges in the survivorship phase and require ongoing support. A telephone-delivered cancer survivorship program (CSP), including health and mental health coaches, was developed, piloted, and evaluated in Eastern Australia.

METHODS

Cancer survivors' (n = 7), coaches' (n = 7), and hospital staff (n = 3) experiences of the CSP were explored through semi-structured interviews. Quantitative data routinely collected throughout the pilot of the CSP was described (N = 25).

RESULTS

Three syntheses and 11 themes were generated through thematic analysis. The first synthesis centred around operational factors and highlighted a need to streamline communication from the point of recruitment, through to program delivery, emphasising that the program could be beneficial when timed right and tailored correctly. The second synthesis indicated that the CSP focused on appropriate information, filled a gap in support, and met the needs of cancer survivors by empowering them. The third synthesis focussed on the value of mental health support in the CSP, but also highlighted challenges coaches faced in providing this support. Descriptive analysis of quantitative data indicated improvements in self-management, weekly physical activity, and meeting previously unmet needs.

CONCLUSIONS

Cancer survivors expressed appreciation for the support they received through the CSP and, in line with other cancer survivorship research, predominantly valued just having somebody in their corner.

IMPLICATIONS FOR CANCER SURVIVORS

Recommendations are made for improving cancer survivorship programs in the future.

Economic Burden of Cancer for the First Five Years after Cancer Diagnosis in Patients with Human Immunodeficiency Virus in Korea

This study aimed to estimate the medical cost of cancer in the first five years of diagnosis and in the final six months before death in people who developed cancer after human immunodeficiency virus (HIV) infection in Korea. The study utilized the Korea National Health Insurance Service-National Health Information Database (NHIS-NHID). Among 16,671 patients diagnosed with HIV infection from 2004 to 2020 in Korea, we identified 757 patients newly diagnosed with cancer after HIV diagnosis. The medical costs for 60 months after diagnosis and the last six months before death were calculated from 2006 to 2020. The mean annual medical cost due to cancer in HIV-infected people with cancer was higher for acquired immunodeficiency syndrome (AIDS)-defining cancers (48,242 USD) than for non-AIDS-defining cancers (24,338 USD), particularly non-Hodgkin's lymphoma (53,007 USD), for the first year of cancer diagnosis. Approximately 25% of the cost for the first year was disbursed during the first month of cancer diagnosis. From the second year, the mean annual medical cost due to cancer was significantly reduced. The total medical cost was higher for non-AIDS-defining cancers, reflecting their higher incidence rates despite lower mean medical costs. The mean monthly total medical cost per HIV-infected person who died after cancer diagnosis increased closer to the time of death. The estimated burden of medical costs in patients with HIV in the present study may be an important index for defining healthcare policies in HIV patients in whom the cancer-related burden is expected to increase.

Cost-utility analysis of a supervised exercise intervention for women with early-stage endometrial cancer

PURPOSE

Cardiovascular disease (CVD) is the leading cause of death after treatment for endometrial cancer (EC). There is clinical evidence that exercise significantly reduces the risks of CVD and cancer recurrence in this population; however, it is unclear whether there is value for money in integrating exercise into cancer recovery care for women treated for EC. This paper assesses the long-term cost-effectiveness of a 12-week supervised exercise intervention, as compared with standard care, for women diagnosed with early-stage EC.

METHOD

A cost-utility analysis was conducted from the Australian health system perspective for a time horizon of 5 years. A Markov cohort model was designed with six mutually exclusive health states: (i) no CVD, (ii) post-stroke, (iii) post-coronary heart disease (CHD), (iv) post-heart failure, (v) post-cancer recurrence, and (vi) death. The model was populated using the best available evidence. Costs and quality-adjusted life years (QALYs) were discounted at 5% annual rate. Uncertainty in the results was explored using one-way and probabilistic sensitivity analyses (PSA).

RESULT

The incremental cost of supervised exercise versus standard care was AUD $358, and the incremental QALY was 0.0789, resulting in an incremental cost-effectiveness ratio (ICER) of AUD $5184 per QALY gained. The likelihood that the supervised exercise intervention was cost-effective at a willingness-to-pay threshold of AUD $50,000 per QALY was 99.5%.

CONCLUSION

This is the first economic evaluation of exercise after treatment for EC. The results suggest that exercise is cost-effective for Australian EC survivors. Given the compelling evidence, efforts could now focus on the implementation of exercise as part of cancer recovery care in Australia.

Circular RNAs in gynecologic cancers: mechanisms and implications for chemotherapy resistance

Chemotherapy resistance remains a major challenge in the treatment of gynecologic malignancies. Increasing evidence suggests that circular RNAs (circRNAs) play a significant role in conferring chemoresistance in these cancers. In this review, we summarize the current understanding of the mechanisms by which circRNAs regulate chemotherapy sensitivity and resistance in gynecologic malignancies. We also discuss the potential clinical implications of these findings and highlight areas for future research. CircRNAs are a novel class of RNA molecules that are characterized by their unique circular structure, which confers increased stability and resistance to degradation by exonucleases. Recent studies have shown that circRNAs can act as miRNA sponges, sequestering miRNAs and preventing them from binding to their target mRNAs. This can lead to upregulation of genes involved in drug resistance pathways, ultimately resulting in decreased sensitivity to chemotherapy. We discuss several specific examples of circRNAs that have been implicated in chemoresistance in gynecologic cancers, including cervical cancer, ovarian cancer, and endometrial cancer. We also highlight the potential clinical applications of circRNA-based biomarkers for predicting chemotherapy response and guiding treatment decisions. Overall, this review provides a comprehensive overview of the current state of knowledge regarding the role of circRNAs in chemotherapy resistance in gynecologic malignancies. By elucidating the underlying mechanisms by which circRNAs regulate drug sensitivity, this work has important implications for improving patient outcomes and developing more effective therapeutic strategies for these challenging cancers.

Lifetime direct healthcare costs of treating colorectal cancer: a systematic review

Colorectal cancer is a global public health issue and imposes a significant economic burden on populations and healthcare systems. This paper systematically reviews the literature to estimate the direct costs of colorectal cancer incurred during different phases of treatment (initial, continuing and end of life). MEDLINE, EMBASE, Web of science, Evidence-based medicine reviews: National health service economic evaluation database guide, econlit and grey literature from the 1st of January 2000 to the 1st of February 2020. The methodological quality of the included studies was assessed using the Evers' Consensus on health economic criteria checklist. In total, 39,489 records were retrieved, and 17 studies were included. Costs by phase of treatment varied due to heterogeneity. However, studies that examined average costs for each phase of treatment showed a V-shaped distribution where the initial and end of life phases contribute the most and the continuing phase the least. The initial phase ranged from $7,893 to $60,289; the continuing annual phase ranged from $2,323 to $15,744; and the end of life phase ranged from $15,916 to $99,687. Studies that provided the total cost of each phase conversely showed that the continuing phase was the highest contributor to the cost of treating CRC. This study estimates the cost of the contemporary management of colorectal cancer despite the methodological heterogeneity. These costs place a heavy burden on healthcare providers, patients and their families. Identifying these costs can impact health care budgets and guide policymakers in making informed decisions for the future.

DAta Linkage to Enhance Cancer Care (DaLECC): Protocol of a Large Australian Data Linkage Study

Cancer is a leading cause of global morbidity and mortality, accounting for 250 Disability-Adjusted Life Years and 10 million deaths in 2019. Minimising unwarranted variation and ensuring appropriate cost-effective treatment across primary and tertiary care to improve health outcomes is a key health priority. There are few studies that have used linked data to explore healthcare utilisation prior to diagnosis in addition to post-diagnosis patterns of care. This protocol outlines the aims of the DaLECC project and key methodological features of the linked dataset. The primary aim of this project is to explore predictors of variations in pre- and post-cancer diagnosis care, and to explore the economic and health impact of any variation. The cohort of patients includes all South Australian residents diagnosed with cancer between 2011 and 2020, who were recorded on the South Australian Cancer Registry. These cancer registry records are being linked with state and national healthcare databases to capture health service utilisation and costs for a minimum of one-year prior to diagnosis and to a maximum of 10 years post-diagnosis. Healthcare utilisation includes state databases for inpatient separations and emergency department presentations and national databases for Medicare services and pharmaceuticals. Our results will identify barriers to timely receipt of care, estimate the impact of variations in the use of health care, and provide evidence to support interventions to improve health outcomes to inform national and local decisions to enhance the access and uptake of health care services.

Cost-effectiveness of Interventions to Increase Utilization of Kidneys From Deceased Donors With Primary Brain Malignancy in an Australian Setting

Kidneys from potential deceased donors with brain cancer are often foregone due to concerns of cancer transmission risk to recipients. There may be uncertainty around donors' medical history and their absolute transmission risk or risk-averse decision-making among clinicians. However, brain cancer transmissions are rare, and prolonging waiting time for recipients is harmful.

Methods

We assessed the cost-effectiveness of increasing utilization of potential deceased donors with brain cancer using a Markov model simulation of 1500 patients waitlisted for a kidney transplant, based on linked transplant registry data and with a payer perspective (Australian government). We estimated costs and quality-adjusted life-years (QALYs) for three interventions: decision support for clinicians in assessing donor risk, improved cancer classification accuracy with real-time data-linkage to hospital records and cancer registries, and increased risk tolerance to allow intermediate-risk donors (up to 6.4% potential transmission risk).

Results

Compared with current practice, decision support provided 0.3% more donors with an average transmission risk of 2%. Real-time data-linkage provided 0.6% more donors (1.1% average transmission risk) and increasing risk tolerance (accepting intermediate-risk 6.4%) provided 2.1% more donors (4.9% average transmission risk). Interventions were dominant (improved QALYs and saved costs) in 78%, 80%, and 87% of simulations, respectively. The largest benefit was from increasing risk tolerance (mean +18.6 QALYs and AU$2.2 million [US$1.6 million] cost-savings).

Conclusions

Despite the additional risk of cancer transmission, accepting intermediate-risk donors with brain cancer is likely to increase the number of donor kidneys available for transplant, improve patient outcomes, and reduce overall healthcare expenditure.

Optimal care of people with brain cancer in the emergency department: A cross-sectional survey of outpatient perceptions

Objective

People diagnosed with brain cancer commonly present to the emergency department (ED). There is uncertainty about essential components and processes of optimal care from the perspective of consumers, and few guidelines exist to inform practice. This study examined the perceptions of outpatients and their support persons regarding what constitutes optimal care for people with brain cancer presenting to the ED.

Methods

A cross sectional descriptive survey study was undertaken. Participants included adults attending hospital outpatient clinics (n ​= ​181, 60% of eligible participants). Participants completed a survey assessing perceptions of optimal care for brain cancer patients presenting to emergency department and socio-demographic characteristics.

Results

The survey items endorsed as 'essential' by participants included that the emergency department team help patients: 'understand signs and symptoms to watch out for' (51%); 'understand the next steps in care and why' (48%); 'understand if their medical condition suggests it is likely they will die in hospital' (47%); 'ask patients if they have a substitute decision maker and want that person told they are in the emergency department' (44%); 'understand the purpose of tests and procedures' (41%).

Conclusions

Symptom management, effective communication and supported decision-making should be prioritised by ED teams. Further research to establish the views of those affected by brain cancer about essential care delivered in the ED setting, and to compare these views with the quality of care that is actually delivered, is warranted.

Treatment patterns and out-of-hospital healthcare resource utilisation by patients with advanced cancer living with pain: An analysis from the Stop Cancer PAIN trial

BACKGROUND

About 70% of patients with advanced cancer experience pain. Few studies have investigated the use of healthcare in this population and the relationship between pain intensity and costs.

METHODS

Adults with advanced cancer and scored worst pain ≥ 2/10 on a numeric rating scale (NRS) were recruited from 6 Australian oncology/palliative care outpatient services to the Stop Cancer PAIN trial (08/15-06/19). Out-of-hospital, publicly funded services, prescriptions and costs were estimated for the three months before pain screening. Descriptive statistics summarize the clinico-demographic variables, health services and costs, treatments and pain scores. Relationships with costs were explored using Spearman correlations, Mann-Whitney U and Kruskal-Wallis tests, and a gamma log-link generalized linear model.

RESULTS

Overall, 212 participants had median worst pain scores of five (inter-quartile range 4). The most frequently prescribed medications were opioids (60.1%) and peptic ulcer/gastro-oesophageal reflux disease (GORD) drugs (51.6%). The total average healthcare cost in the three months before the census date was A$6,742 (95% CI $5,637, $7,847), approximately $27,000 annually. Men had higher mean healthcare costs than women, adjusting for age, cancer type and pain levels (men $7,872, women $4,493, p<0.01) and higher expenditure on prescriptions (men $5,559, women $2,034, p<0.01).

CONCLUSIONS

In this population with pain and cancer, there was no clear relationship between healthcare costs and pain severity. These treatment patterns requiring further exploration including the prevalence of peptic ulcer/GORD drugs, and lipid lowering agents and the higher healthcare costs for men.

TRIAL REGISTRATION

ACTRN12615000064505. World Health Organisation unique trial number U1111-1164-4649. Registered 23 January 2015.

Colon and rectal cancer treatment patterns and their associations with clinical, sociodemographic and lifestyle characteristics: analysis of the Australian 45 and Up Study cohort

BACKGROUND

Colorectal cancer is the third most diagnosed cancer globally and the second leading cause of cancer death. We examined colon and rectal cancer treatment patterns in Australia.

METHODS

From cancer registry records, we identified 1,236 and 542 people with incident colon and rectal cancer, respectively, diagnosed during 2006-2013 in the 45 and Up Study cohort (267,357 participants). Cancer treatment and deaths were determined via linkage to routinely collected data, including hospital and medical services records. For colon cancer, we examined treatment categories of "surgery only", "surgery plus chemotherapy", "other treatment" (i.e. other combinations of surgery/chemotherapy/radiotherapy), "no record of cancer-related treatment, died"; and, for rectal cancer, "surgery only", "surgery plus chemotherapy and/or radiotherapy", "other treatment", and "no record of cancer-related treatment, died". We analysed survival, time to first treatment, and characteristics associated with treatment receipt using competing risks regression.

RESULTS

86.4% and 86.5% of people with colon and rectal cancer, respectively, had a record of receiving any treatment ≤2 years post-diagnosis. Of those treated, 93.2% and 90.8% started treatment ≤2 months post-diagnosis, respectively. Characteristics significantly associated with treatment receipt were similar for colon and rectal cancer, with strongest associations for spread of disease and age at diagnosis (p<0.003). For colon cancer, the rate of "no record of cancer-related treatment, died" was higher for people with distant spread of disease (versus localised, subdistribution hazard ratio (SHR)=13.6, 95% confidence interval (CI):5.5-33.9), age ≥75 years (versus age 45-74, SHR=3.6, 95%CI:1.8-7.1), and visiting an emergency department ≤1 month pre-diagnosis (SHR=2.9, 95%CI:1.6-5.2). For rectal cancer, the rate of "surgery plus chemotherapy and/or radiotherapy" was higher for people with regional spread of disease (versus localised, SHR=5.2, 95%CI:3.6-7.7) and lower for people with poorer physical functioning (SHR=0.5, 95%CI:0.3-0.8) or no private health insurance (SHR=0.7, 95%CI:0.5-0.9).

CONCLUSION

Before the COVID-19 pandemic, most people with colon or rectal cancer received treatment ≤2 months post-diagnosis, however, treatment patterns varied by spread of disease and age. This work can be used to inform future healthcare requirements, to estimate the impact of cancer control interventions to improve prevention and early diagnosis, and serve as a benchmark to assess treatment delays/disruptions during the pandemic. Future work should examine associations with clinical factors (e.g. performance status at diagnosis) and interdependencies between characteristics such as age, comorbidities, and emergency department visits.

Long-term benefits for lower socioeconomic groups by improving bowel screening participation in South Australia: A modelling study

INTRODUCTION

The gap in bowel cancer screening participation rates between the lowest socioeconomic position (SEP) groups and the highest in Australia is widening. This study estimates the long-term health impacts and healthcare costs at current colorectal cancer (CRC) screening participation rates by SEP in South Australia (SA).

METHODS

A Markov microsimulation model for each socioeconomic quintile in SA estimated health outcomes over the lifetime of a population aged 50-74 years (total n = 513,000). The model simulated the development of CRC, considering participation rates in the National Bowel Cancer Screening Program and estimated numbers of cases of CRC, CRC deaths, adenomas detected, mean costs of screening and treatment, and quality adjusted life years. Screened status, stage of diagnosis and survival were obtained for patients diagnosed with CRC in 2006-2013 using data linked to the SA Cancer Registry.

RESULTS

We predict 10915 cases of CRC (95%CI: 8017─13812) in the lowest quintile (Q1), 17% more than the highest quintile (Q5) and 3265 CRC deaths (95%CI: 2120─4410) in Q1, 24% more than Q5. Average costs per person, were 29% higher in Q1 at $11997 ($8754─$15240) compared to Q5 $9281 ($6555─$12007). When substituting Q1 screening and diagnostic testing rates with Q5's, 17% more colonoscopies occur and adenomas and cancers detected increase by 102% in Q1.

CONCLUSION

Inequalities were evident in CRC cases and deaths, as well as adenomas and cancers that could be detected earlier. Implementing programs to increase screening uptake and follow-up tests for lower socioeconomic groups is critical to improve the health of these priority population groups.

When Two Maladies Meet: Disease Burden and Pathophysiology of Stroke in Cancer

Stroke and cancer are disabling diseases with an enormous global burden, disproportionately affecting vulnerable populations and low- and middle-income countries. Both these diseases share common risk factors, which warrant concerted attention toward reshaping population health approaches and the conducting of fundamental studies. In this article, an overview of epidemiological trends in the prevalence and burden of cancer and stroke, underlying biological mechanisms and clinical risk factors, and various tools available for risk prediction and prognosis are provided. Finally, future recommendations for research and existing gaps in our understanding of pathophysiology. Further research must investigate the causes that predispose patients to an increased risk of stroke and/or cancer, as well as biomarkers that can be used to predict growing morbidity and mortality.

The socioeconomic gradient in mortality from ovarian, cervical, and endometrial cancer in Australian women, 2001-2018: A population-based study

BACKGROUND

Socio-economic (SE) status is closely linked to health status and the mechanisms of this association are complex. One important adverse effect of SE disadvantage is vulnerability to cancer and cancer is a major cause of morbidity and mortality in Australia.

AIMS

We aimed to estimate the effect of SE status on mortality rates from ovarian, cervical, and endometrial cancer.

MATERIALS AND METHODS

National mortality data were obtained from the Australian Bureau of Statistics (ABS) for the calendar years from 2001 to 2018, inclusive. Individual deaths were grouped by the ABS Index of Relative Socio-economic Advantage and Disadvantage. Population data were obtained to provided denominators allowing calculation of mortality rates (deaths per 100 000 women aged 30-79 years). Statistical analyses performed included tabulating point-estimates of mortality rates and their changes over time and modelling the trends of rates using maximum likelihood method.

RESULTS

Age-standardised mortality rates for ovarian and cervical cancer fell over the study period but increased for endometrial cancer. There was clear evidence of a SE gradient in the mortality rate for all three cancers. This SE gradient increased over the study period for ovarian and cervical cancer but remained unchanged for endometrial cancer.

CONCLUSIONS

Women at greater SE disadvantage have higher rates of death from the commonest gynaecological cancers and this gradient has not reduced over the last two decades. After the COVID-19 pandemic efforts must be redoubled to ensure that Australians already at risk of ill health do not face even greater risks because of their circumstances.

Longitudinal patterns and predictors of healthcare utilization among cancer patients on home-based palliative care in Singapore: a group-based multi-trajectory analysis

BACKGROUND

Home-based palliative care (HPC) is considered to moderate the problem of rising healthcare utilization of cancer patients at end-of-life. Reports however suggest a proportion of HPC patients continue to experience high care intensity. Little is known about differential trajectories of healthcare utilization in patients on HPC. Thus, we aimed to uncover the heterogeneity of healthcare utilization trajectories in HPC patients and identify predictors of each utilization pattern.

METHODS

This is a cohort study of adult cancer patients referred by Singapore Health Services to HCA Hospice Service who died between 1st January 2018 and 31st March 2020. We used patient-level data to capture predisposing, enabling, and need factors for healthcare utilization. Group-based multi-trajectory modelling was applied to identify trajectories for healthcare utilization based on the composite outcome of emergency department (ED) visits, hospitalization, and outpatient visits.

RESULTS

A total of 1572 cancer patients received HPC (median age, 71 years; interquartile range, 62-80 years; 51.1% female). We found three distinct trajectory groups: group 1 (31.9% of cohort) with persistently low frequencies of healthcare utilization, group 2 (44.1%) with persistently high frequencies, and group 3 (24.0%) that begin with moderate frequencies, which dropped over the next 9 months before increasing in the last 3 months. Predisposing (age, advance care plan completion, and care preferences), enabling (no medical subsidy, primary decision maker), and need factors (cancer type, comorbidity burden and performance status) were significantly associated with group membership. High symptom needs increased ED visits and hospitalizations in all three groups (ED visits, group 1-3: incidence rate ratio [IRR] 1.74-6.85; hospitalizations, group 1-3: IRR 1.69-6.60). High home visit intensity reduced outpatient visits in all three groups (group 1-3 IRR 0.54-0.84), while it contributed to reduction of ED visits (IRR 0.40; 95% CI 0.25-0.62) and hospitalizations (IRR 0.37; 95% CI 0.24-0.58) in group 2.

CONCLUSIONS

This study on HPC patients highlights three healthcare utilization trajectories with implications for targeted interventions. Future efforts could include improving advance care plan completion, supporting care preferences in the community, proactive interventions among symptomatic high-risk patients, and stratification of home visit intensity.

Cancer Survivors’ Long-Term Health Service Costs in Queensland, Australia: Results of a Population-Level Data Linkage Study (Cos-Q)

Worldwide, the number of cancer survivors is rapidly increasing. The aim of this study was to quantify long-term health service costs of cancer survivorship on a population level. The study cohort comprised residents of Queensland, Australia, diagnosed with a first primary malignancy between 1997 and 2015. Administrative databases were linked with cancer registry records to capture all health service utilization. Health service costs between 2013–2016 were analyzed using a bottom-up costing approach. The cumulative mean annual healthcare expenditure (2013–2016) for the cohort of N = 230,380 individuals was AU$3.66 billion. The highest costs were incurred by patients with a history of prostate (AU$538 m), breast (AU$496 m) or colorectal (AU$476 m) cancers. Costs by time since diagnosis were typically highest in the first year after diagnosis and decreased over time. Overall mean annual healthcare costs per person (2013–2016) were AU$15,889 (SD: AU$25,065) and highest costs per individual were for myeloma (AU$45,951), brain (AU$30,264) or liver cancer (AU$29,619) patients. Our results inform policy makers in Australia of the long-term health service costs of cancer survivors, provide data for economic evaluations and reinforce the benefits of investing in cancer prevention.

The population-level economic burden of liver cancer in China, 2019-2030: prevalence-based estimations from a societal perspective

BACKGROUND

Benchmark data on the population-level economic burden are critical to inform policymakers about liver cancer control. However, comprehensive data in China are currently limited.

METHODS

A prevalence-based approach from a societal perspective was used to quantify the annual economic burden of liver cancer in China from 2019 to 2030. Detailed per-case data on medical/non-medical expenditure and work-loss days were extracted from a multicenter survey. The numbers/rates of new/prevalent cases and deaths, survival, and population-related parameters were extracted from the Global Burden of Disease 2019 and the literature. All expenditure data were reported in both 2019 Chinese Yuan (CNY) and United States dollar (US$, for main estimations).

RESULT

The overall economic burden of liver cancer was estimated at CNY76.7/US$11.1 billion in China in 2019 (0.047% of the local GDP). The direct expenditure was CNY21.6/US$3.1 billion, including CNY19.7/US$2.9 billion for medical expenditure and CNY1.9/US$0.3 billion for non-medical expenditure. The indirect cost was CNY55.1/US$8.0 billion (71.8% of the overall burden), including CNY3.0/US$0.4 billion due to disability and CNY52.0/US$7.5 billion due to premature death. The total burden would increase to CNY84.2/US$12.2 billion, CNY141.7/US$20.5 billion, and CNY234.3/US$34.0 billion in 2020, 2025, and 2030, accounting for 0.102%, 0.138%, and 0.192% of China's GDP, respectively. However, if China achieves the goals of Healthy China 2030 or the United Nations' Sustainable Development Goals for non-communicable diseases, the burden in 2030 would be < CNY144.4/US$20.9 billion.

CONCLUSIONS

The population-level economic burden of liver cancer in China is currently substantial and will consistently increase in the future. Sustainable efforts in primary and secondary interventions for liver cancer need to be further strengthened.

Costs of multimorbidity: a systematic review and meta-analyses

BACKGROUND

Multimorbidity is a rising global phenomenon, placing strains on countries' population health and finances. This systematic review provides insight into the costs of multimorbidity through addressing the following primary and secondary research questions: What evidence exists on the costs of multimorbidity? How do costs of specific disease combinations vary across countries? How do multimorbidity costs vary across disease combinations? What "cost ingredients" are most commonly included in these multimorbidity studies?

METHODS

We conducted a systematic review (PROSPERO: CRD42020204871) of studies published from January 2010 to January 2022, which reported on costs associated with combinations of at least two specified conditions. Systematic string-based searches were conducted in MEDLINE, The Cochrane Library, SCOPUS, Global Health, Web of Science, and Business Source Complete. We explored the association between costs of multimorbidity and country Gross Domestic Product (GDP) per capita using a linear mixed model with random intercept. Annual mean direct medical costs per capita were pooled in fixed-effects meta-analyses for each of the frequently reported dyads. Costs are reported in 2021 International Dollars (I$).

RESULTS

Fifty-nine studies were included in the review, the majority of which were from high-income countries, particularly the United States. (1) Reported annual costs of multimorbidity per person ranged from I$800 to I$150,000, depending on disease combination, country, cost ingredients, and other study characteristics. (2) Our results further demonstrated that increased country GDP per capita was associated with higher costs of multimorbidity. (3) Meta-analyses of 15 studies showed that on average, dyads which featured Hypertension were among the least expensive to manage, with the most expensive dyads being Respiratory and Mental Health condition (I$36,840), Diabetes and Heart/vascular condition (I$37,090), and Cancer and Mental Health condition in the first year after cancer diagnosis (I$85,820). (4) Most studies reported only direct medical costs, such as costs of hospitalization, outpatient care, emergency care, and drugs.

CONCLUSIONS

Multimorbidity imposes a large economic burden on both the health system and society, most notably for patients with cancer and mental health condition in the first year after cancer diagnosis. Whether the cost of a disease combination is more or less than the additive costs of the component diseases needs to be further explored. Multimorbidity costing studies typically consider only a limited number of disease combinations, and few have been conducted in low- and middle-income countries and Europe. Rigorous and standardized methods of data collection and costing for multimorbidity should be developed to provide more comprehensive and comparable evidence for the costs of multimorbidity.

Hospitalisation costs of primary liver cancer in Australia: evidence from a data-linkage study

ObjectiveThis study aimed to estimate the public hospital costs associated with primary liver cancer (PLC) in the first and second years following the cancer diagnosis.MethodsThis study linked administrative datasets of patients diagnosed with PLC in Victoria, Australia, from January 2008 to December 2015. The health system perspective was adopted to estimate the direct healthcare costs associated with PLC, based on inpatient and emergency costs. Costs were estimated for the first 12 months and 12-24 months after the PLC diagnosis and expressed in 2017 Australian dollars (A$). The cost estimated was then extrapolated nationally. The linear mixed model with a Box-Cox transformation of the costs was used to explore the relationship between costs and patients' sociodemographic and clinical characteristics.ResultsFor the first 12 months, the total and annual per-patient cost was A$211.4 million and A$63 664, respectively. Costs for the subsequent year were A$49.7 million and A$46 751, respectively. Regarding the cost extrapolation to Australia, the total cost was A$137 million for the first 12 months after notification and A$42.6 million for the period from 12 to 24 months. Higher costs per episode of care were mostly associated with older age, hepatocellular carcinoma type of PLC, metropolitan hospitals, and Asian birth region.ConclusionThis study showed the public hospital admission and emergency costs associated with PLC and the substantial economic burden this cancer has placed on the Australian health system.

Quantifying the Costs to Different Funders over Five-Years for Women Diagnosed with Breast Cancer in Queensland, Australia: A Data Linkage Study

Individuals diagnosed with breast cancer have the highest rates of survival among all cancer types. Due to high survival, the costs of breast cancer to different healthcare funders are of interest. This study aimed to describe the cost to public hospital and private health funders and individuals due to hospital and emergency department (ED) admissions, as well Medicare items and pharmaceuticals over five years for Queensland women with breast cancer. We used a linked administrative dataset, CancerCostMod, limited to Queensland female breast cancer diagnoses between July 2011 and June 2013 aged 18 years or over who survived for 5 years (n = 5383). Each record was linked to Queensland Health Admitted Patient Data Collection, Emergency Department Information Systems, Medicare Benefits Schedule, and Pharmaceutical Benefits Scheme records between July 2011 and June 2018. Total costs for different healthcare funders as a result of breast cancer diagnoses were reported, with high costs and service use identified in the first six months following a breast cancer diagnosis. After the first six months post-diagnosis, the financial burdens incurred by different healthcare funders for breast cancer diagnoses in Queensland remain steady over a long period. Recommendations for reducing long term costs are discussed.

Health system costs and days in hospital for colorectal cancer patients in New South Wales, Australia

Introduction

Colorectal cancer (CRC) care costs the Australian healthcare system more than any other cancer. We estimated costs and days in hospital for CRC cases, stratified by site (colon/rectal cancer) and disease stage, to inform detailed analyses of CRC-related healthcare.

Methods

Incident CRC patients were identified using the Australian 45 and Up Study cohort linked with cancer registry records. We analysed linked hospital admission records, emergency department records, and reimbursement records for government-subsidised medical services and prescription medicines. Cases’ health system costs (2020 Australian dollars) and hospital days were compared with those for cancer-free controls (matched by age, sex, geography, smoking) to estimate excess resources by phase of care, analysed by sociodemographic, health, and disease characteristics.

Results

1200 colon and 546 rectal cancer cases were diagnosed 2006–2013, and followed up to June 2016. Eighty-nine percent of cases had surgery, chemotherapy or radiotherapy, and excess costs were predominantly for hospitalisations. Initial phase (12 months post-diagnosis) mean excess health system costs were $50,434 for colon and $60,877 for rectal cancer cases, with means of 16 and 18.5 excess hospital days, respectively. The annual continuing mean excess costs were $6,779 (colon) and $8,336 (rectal), with a mean of 2 excess hospital days each. Resources utilised (costs and days) in these phases increased with more advanced disease, comorbidities, and younger age. Mean excess costs in the year before death were $74,952 (colon) and $67,733 (rectal), with means of 34 and 30 excess hospital days, respectively–resources utilised were similar across all characteristics, apart from lower costs for cases aged ≥75 at diagnosis.

Conclusions

Health system costs and hospital utilisation for CRC care are greater for people with more advanced disease. These findings provide a benchmark, and will help inform future cost-effectiveness analyses of potential approaches to CRC screening and treatment.

Resource Use and Costs Associated to the Initial Phase of Treatment for Patients with Colorectal Cancer Receiving Post-Surgery Chemotherapy: A Cost Analysis from a Healthcare Perspective

Background:

To estimate the resource use and costs associated to the initial phase of treatment for colorectal cancer in Iran.

Methods:

A retrospective study was conducted using routinely collected data within Electronic Health Records System (SEPAS), a national database representing public hospitals in Iran between March 20, 2016 and March 19, 2017. Primary end points included healthcare resource use, direct medical and non-medical costs of care in the 12-month study period.

Results:

The study population included 657 patients with colorectal cancer who underwent surgery and the follow-up chemotherapy. We estimated a total direct cost of $21,407 per patient. The results indicated that direct medical costs were primarily driven by inpatient hospital care, followed by surgery, chemotherapy, and diagnostic services.

Conclusion:

The initial 12-month of treatment for colorectal cancer, including surgery and the follow-up chemotherapy, is resource intensive. The total direct costs associated to the disease are remarkable, with Inpatient hospital services being the main contributor followed by surgery and chemotherapy.

Quantifying the hospital and emergency department costs for women diagnosed with breast cancer in Queensland

PURPOSE

With increasing rates of cancer survival due to advances in screening and treatment options, the costs of breast cancer diagnoses are attracting interest. However, limited research has explored the costs to the Australian healthcare system associated with breast cancer. We aimed to describe the cost to hospital funders for hospital episodes and emergency department (ED) presentations for Queensland women with breast cancer, and whether costs varied by demographic characteristics.

METHODS

We used a linked administrative dataset, CancerCostMod, limited to all breast cancer diagnoses aged 18 years or over in Queensland between July 2011 and June 2015 (n = 13,285). Each record was linked to Queensland Health Admitted Patient Data Collection and Emergency Department Information Systems records between July 2011 and June 2018. The cost of hospital episodes and ED presentations were determined, with mean costs per patient modelled using generalised linear models with a gamma distribution and log link function.

RESULTS

The total cost to the Queensland healthcare system from hospital episodes for female breast cancer was AUD$309 million and AUD$12.6 million for ED presentations during the first 3 years following diagnosis. High levels of costs and service use were identified in the first 6 months following diagnosis. Some significant differences in cost of hospital and ED episodes were identified based on demographic characteristics, with Indigenous women and those from lower socioeconomic backgrounds having higher costs.

CONCLUSION

Hospitalisation costs for breast cancer in Queensland exert a high burden on the healthcare system. Costs are higher for women during the first 6 months from diagnosis and for Indigenous women, as well as those with underlying comorbidities and lower socioeconomic position.

First-Year Healthcare Resource Utilization Costs of Five Major Cancers in Japan

Reports on the expenditure of cancer treatments per patient using comprehensive data remain unavailable in Japan. This study aimed to use Japan’s cancer registry data and health service utilization data for evaluating the disease-specific, per-patient costs of five major cancers—stomach, lung, colorectal, liver, and breast cancers. We used a database linking the 2017 data from a hospital-based cancer registry and the health service utilization data from the Diagnosis Procedure Combination survey. All patients who started their first treatment course at each hospital were included. The costs were calculated using the total volume of the health services provided and the unit fee information included in the data. We analyzed 304,698 patients. Lung cancer had the highest healthcare cost per-patient for the first year of diagnosis and the longest median hospitalization duration. Conversely, breast cancer showed the lowest cost and the shortest median hospitalization duration. However, in the first month after diagnosis, colorectal cancer showed the highest cost. Subsequently, the gaps between the costs of the five common cancers drastically diminished. The cancer type having the longest hospitalization duration had the highest overall healthcare resource utilization costs. This information is essential for care planning and research studies.