The impact of cancer diagnosis and treatment on employment, income, treatment decisions and financial assistance and their relationship to socioeconomic and disease factors

Paul, Christine; Boyes, Allison; Hall, Alix; Bisquera, Alessandra; Miller, Annie; O'Brien, Lorna

doi:10.1007/s00520-016-3323-y

Cited by 36 publications

(40 citation statements)

References 23 publications

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“…In 2015, OOP expenditure in Australia was 20%, which was equal to the Organisation for Economic Cooperation and Development average (20%), but higher than the average paid in the UK (15%), New Zealand (13%), and Canada (15%) [21]. This is of concern, as it is known that people may delay or forgo healthcare due to costs [5,7]. Previous work by some of the authors found that 21% of Australian adults with cancer skipped care due to the costs [5].…”

Section: Discussionmentioning

confidence: 99%

“…Previous work by some of the authors found that 21% of Australian adults with cancer skipped care due to the costs [5]. In a survey of people with cancer, 10.9% indicated that the cost of treatment influenced their decision about cancer treatment [7]. A recent study using CancerCostMod identified that on average, Indigenous Australians with cancer had lower patient co-payments for MBS services and PBS prescriptions combined compared with non-Indigenous Australians with cancer.…”

Section: Discussionmentioning

confidence: 99%

“…Recent Australian studies have highlighted that women diagnosed with breast cancer will face significant out-of-pocket (OOP) costs [2][3][4]. These high OOP costs may result in people diagnosed with cancer delaying or forgoing healthcare [5][6][7]. This financial burden placed on individuals and their families due to a cancer diagnosis is known as 'financial toxicity' [8].…”

Section: Introductionmentioning

confidence: 99%

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Patient co-payments for women diagnosed with breast cancer in Australia

Bates

Callander

Lindsay

et al. 2019

Support Care Cancer

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Purpose Among Australian women, breast cancer is the most commonly diagnosed cancer. The out-of-pocket cost to the patient is substantial. This study estimates the total patient co-payments for Medicare Benefits Schedule (MBS) and Pharmaceutical Benefits Scheme (PBS) for women diagnosed with breast cancer and determined the distribution of these costs by Indigenous status, remoteness, and socioeconomic status. Methods Data on women diagnosed with breast cancer in Queensland between 01 July 2011 and 30 June 2012 were obtained from the Queensland Cancer Registry and linked with hospital and Emergency Department Admissions, and MBS and PBS records for the 3 years post-diagnosis. The data were then weighted to be representative of the Australian population. The copayment charged for MBS services and PBS prescriptions was summed. We modelled the mean co-payment per patient during each 6-month time period for MBS services and PBS prescriptions. Results A total of 3079 women were diagnosed with breast cancer in Queensland during the 12-month study period, representing 15,335 Australian women after weighting. In the first 3 years post-diagnosis, the median co-payment for MBS services was AU$ 748

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Patient co-payments for women diagnosed with breast cancer in Australia

Bates

Callander

Lindsay

et al. 2019

Support Care Cancer

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“…In addition to the added benefit of employer-sponsored health insurance, paid employment has the potential to mitigate the financial stresses associated with cancer. 11, 12 Moreover, for women with breast cancer, employment could play a significant role in post-diagnostic health. Health benefits associated with employment include an increased sense of purpose, higher self-esteem, and a stronger sense of social support from others, all of which have been associated with improved quality of life.…”

Section: Introductionmentioning

confidence: 99%

Early‐stage breast cancer and employment participation after 2 years of follow‐up: A comparison with age‐matched controls

Ekenga

Pérez

Margenthaler

et al. 2018

Cancer

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Fatigued patients, African American patients, and publicly insured/uninsured patients with cancer were more likely to experience diminished employment after 2 years of follow-up. Further investigation with longer follow-up is warranted to identify factors associated with these disparities in employment participation after treatment of early-stage breast cancer. Cancer 2018;124:2026-35. © 2018 American Cancer Society.

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“…Being diagnosed with a chronic disease can have a significant financial strain on the family, depleting the household's resources [45]. As healthcare costs continue to increase relative to household income, it will compete with basic household expenditure and cause financial hardship for families [46]. This situation might be worsened if a patient is unemployed or a family member has to reduce employment obligations as a result of caregiving responsibilities [47].…”

Section: Core Indicators Of Segmentationmentioning

confidence: 99%

Identifying optimal indicators and purposes of population segmentation through engagement of key stakeholders: a qualitative study

Yoon

Goh

Kwan

et al. 2020

Health Res Policy Sys

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Background: Various population segmentation tools have been developed to inform the design of interventions that improve population health. However, there has been little consensus on the core indicators and purposes of population segmentation. The existing frameworks were further limited by their applicability in different practice settings involving stakeholders at all levels. The aim of this study was to generate a comprehensive set of indicators and purposes of population segmentation based on the experience and perspectives of key stakeholders involved in population health. Methods:We conducted in-depth semi-structured interviews using purposive sampling with key stakeholders (e.g. government officials, healthcare professionals, social service providers, researchers) involved in population health at three distinct levels (micro, meso, macro) in Singapore. The interviews were audio-recorded and transcribed verbatim. Thematic content analysis was undertaken using NVivo 12. Results: A total of 25 interviews were conducted. Eight core indicators (demographic characteristics, economic characteristics, behavioural characteristics, disease state, functional status, organisation of care, psychosocial factors and service needs of patients) and 21 sub-indicators were identified. Age and financial status were commonly stated as important indicators that could potentially be used for population segmentation across three levels of participants. Six intended purposes for population segmentation included improving health outcomes, planning for resource allocation, optimising healthcare utilisation, enhancing psychosocial and behavioural outcomes, strengthening preventive efforts and driving policy changes. There was consensus that planning for resource allocation and improving health outcomes were considered two of the most important purposes for population segmentation. Conclusions: Our findings shed light on the need for a more person-centric population segmentation framework that incorporates upstream and holistic indicators to be able to measure population health outcomes and to plan for appropriate resource allocation. Core elements of the framework may apply to other healthcare settings and systems responsible for improving population health.Trial registration: The study was approved by the SingHealth Institutional Review Board (CIRB Reference number: 2017/2597).

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The impact of cancer diagnosis and treatment on employment, income, treatment decisions and financial assistance and their relationship to socioeconomic and disease factors

Cited by 36 publications

References 23 publications

Patient co-payments for women diagnosed with breast cancer in Australia

Patient co-payments for women diagnosed with breast cancer in Australia

Early‐stage breast cancer and employment participation after 2 years of follow‐up: A comparison with age‐matched controls

Identifying optimal indicators and purposes of population segmentation through engagement of key stakeholders: a qualitative study

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