Emerging cancer incidence, mortality, hospitalisation and associated burden among Australian cancer patients, 1982 – 2014: an incidence-based approach in terms of trends, determinants and inequality

Mahumud, Rashidul Alam; Dunn, Jeff; Gow, Jeff

doi:10.1136/bmjopen-2019-031874

Cited by 13 publications

(13 citation statements)

References 76 publications

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“…It could be explained by the fact that hospitalization costs were very high. Medical expenses (including medicines and treatments) and non-medical costs (including transportation, caregiver costs, lost productivity, and loss/reduction of household income) in inpatient services were higher than those in outpatient visits, which exacerbated the burden on health care use ( 31 – 33 ). Hence, cancer patients from socioeconomically disadvantaged households could not afford the high medical costs; actually, they tended to abandon medical services or sought cheaper outpatient services instead of inpatient services ( 34 ).…”

Section: Discussionmentioning

confidence: 99%

Socioeconomic inequality in health care use among cancer patients in China: Evidence from the China health and retirement longitudinal study

Zhang

Chen

et al. 2022

Front. Public Health

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BackgroundCancer is a major public health problem worldwide and the leading cause of death in China, with increasing incidence and mortality rates. This study sought to assess socioeconomic-related inequalities in health care use among cancer patients in China and to analyze factors associated with this disparity.MethodsThis study used data collected for the China Health and Retirement Longitudinal Study in 2018. Patients who reported having cancer were included. The annual per capita household expenditure was classified into five groups by the quintile method. We calculated the distribution of actual, need-predicted, and need-standardized health care use across different socioeconomic groups among patients with cancer. The concentration index (CI) was used to evaluate inequalities in health care use. Influencing factors of inequalities were measured with the decomposition method.ResultsA total of 392 people diagnosed with cancer were included in this study. The proportion of cancer patients who utilized outpatient and inpatient services was 23.47% and 40.82%, respectively, and the CIs for actual outpatient and inpatient service use were 0.1419 and 0.1960. The standardized CIs (CI for outpatient visits = 0.1549; CI for inpatient services = 0.1802) were also both positive, indicating that affluent cancer patients used more health services. The annual per capita household expenditure was the greatest factor favoring the better-off, which contributed as much as 78.99% and 83.92% to the inequality in outpatient and inpatient services use, followed by high school education (26.49% for outpatient services) and living in a rural village (34.53% for inpatient services). Urban Employee Basic Medical Insurance exacerbated the inequality in inpatient services (21.97%) while having a negative impact on outpatient visits (−22.19%).ConclusionsThere is a pro-rich inequality in outpatient and inpatient services use among cancer patients in China. A lower socioeconomic status is negatively associated with cancer care use. Hence, more targeted financial protection for poor people would relieve cancer patients of the burden caused by the high cost of cancer care.

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Section: Discussionmentioning

confidence: 99%

Socioeconomic inequality in health care use among cancer patients in China: Evidence from the China health and retirement longitudinal study

Zhang

Chen

et al. 2022

Front. Public Health

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“…Cancer is the most significant global public health problem and a leading cause of death and illness in the world in the 21st century, including Australia [30]. Breast cancer is estimated to have been the most commonly diagnosed cancer in 2019, followed by prostate cancer.…”

Section: Cancermentioning

confidence: 99%

“…Mahmud et al [30] used multivariate analysis to analyze the trends associated with cancer incidence, hospitalization, and fatality for several barriers. The study was conducted for the period 1982-2014 and the results revealed that socio-economic and geographical access play a significant role in patient outcome.…”

Section: Cancermentioning

confidence: 99%

A Review of Models Used for Investigating Barriers to Healthcare Access in Australia

Shukla

Pradhan

Dikshit

et al. 2020

IJERPH

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Understanding barriers to healthcare access is a multifaceted challenge, which is often highly diverse depending on location and the prevalent surroundings. The barriers can range from transport accessibility to socio-economic conditions, ethnicity and various patient characteristics. Australia has one of the best healthcare systems in the world; however, there are several concerns surrounding its accessibility, primarily due to the vast geographical area it encompasses. This review study is an attempt to understand the various modeling approaches used by researchers to analyze diverse barriers related to specific disease types and the various areal distributions in the country. In terms of barriers, the most affected people are those living in rural and remote parts, and the situation is even worse for indigenous people. These models have mostly focused on the use of statistical models and spatial modeling. The review reveals that most of the focus has been on cancer-related studies and understanding accessibility among the rural and urban population. Future work should focus on further categorizing the population based on indigeneity, migration status and the use of advanced computational models. This article should not be considered an exhaustive review of every aspect as each section deserves a separate review of its own. However, it highlights all the key points, covered under several facets which can be used by researchers and policymakers to understand the current limitations and the steps that need to be taken to improve health accessibility.

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“…Breast and ovarian cancer are amongst the most common female malignancies, with a history of breast cancer linked to a higher risk of ovarian cancer ( Mahumud et al, 2019 ). Recent advances in medical science, including earlier detection and targeted treatments, have significantly increased survival in many cancers, including breast and ovarian ( Matchett et al, 2017 ; Prakash et al, 2018 ; Siegel et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in the Role of Discoidin Domain Receptor Tyrosine Kinase 1 and Discoidin Domain Receptor Tyrosine Kinase 2 in Breast and Ovarian Cancer

Chen

Kong

Fang

et al. 2021

Front. Cell Dev. Biol.

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Discoidin domain receptor tyrosine kinases (DDRs) are a class of receptor tyrosine kinases (RTKs), and their dysregulation is associated with multiple diseases (including cancer, chronic inflammatory conditions, and fibrosis). The DDR family members (DDR1a-e and DDR2) are widely expressed, with predominant expression of DDR1 in epithelial cells and DDR2 in mesenchymal cells. Structurally, DDRs consist of three regions (an extracellular ligand binding domain, a transmembrane domain, and an intracellular region containing a kinase domain), with their kinase activity induced by receptor-specific ligand binding. Collagen binding to DDRs stimulates DDR phosphorylation activating kinase activity, signaling to MAPK, integrin, TGF-β, insulin receptor, and Notch signaling pathways. Abnormal DDR expression is detected in a range of solid tumors (including breast, ovarian, cervical liver, gastric, colorectal, lung, and brain). During tumorigenesis, abnormal activation of DDRs leads to invasion and metastasis, via dysregulation of cell adhesion, migration, proliferation, secretion of cytokines, and extracellular matrix remodeling. Differential expression or mutation of DDRs correlates with pathological classification, clinical characteristics, treatment response, and prognosis. Here, we discuss the discovery, structural characteristics, organizational distribution, and DDR-dependent signaling. Importantly, we highlight the key role of DDRs in the development and progression of breast and ovarian cancer.

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Emerging cancer incidence, mortality, hospitalisation and associated burden among Australian cancer patients, 1982 – 2014: an incidence-based approach in terms of trends, determinants and inequality

Cited by 13 publications

References 76 publications

Socioeconomic inequality in health care use among cancer patients in China: Evidence from the China health and retirement longitudinal study

Socioeconomic inequality in health care use among cancer patients in China: Evidence from the China health and retirement longitudinal study

A Review of Models Used for Investigating Barriers to Healthcare Access in Australia

Recent Advances in the Role of Discoidin Domain Receptor Tyrosine Kinase 1 and Discoidin Domain Receptor Tyrosine Kinase 2 in Breast and Ovarian Cancer

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