Cost–effectiveness of risk-based breast cancer screening programme, China

Sun, Li; Legood, Rosa; Sadique, Zia; dos‐Santos‐Silva, Isabel; Yang, Li

doi:10.2471/blt.18.207944

Cited by 58 publications

(111 citation statements)

References 30 publications

(37 reference statements)

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“…As opposed, if a person believes that he/she has low level of perceived susceptibility, it might lead the person to engage into unhealthy behaviour. Reflecting in breast cancer early diagnosis, if the female has family history of breast cancer, she might have high risk developing into breast cancer as well (Jamei, Ostovar, & Javadzade, 2017;Sun, Legood, Sadique, dos-Santos-Silva, & Yang, 2018;Torbaghan, Farmanfarma, Moghaddam, & Zarei, 2014). In subjective norm by TPB, supported by the family members, relatives and friends due to the female's inherent risk factor, high perceived susceptibility will shape as her perception and attitude towards breast cancer and thus, this will lead to the higher likelihood of breast cancer early diagnosis (Darvishpour et al, 2018;DeSantis, Ma, Goding Sauer, et al, 2017;Venturini, 2016).…”

Section: Health Belief Modelmentioning

confidence: 99%

Factors That Influence Females’ Intention towards Breast Cancer Early Diagnosis

Chin¹,

Mansori²

2018

CCO

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Despite the advanced medical technology nowadays, breast cancer incidence rate is still increasing worldwide. This is due to females lack of knowledge and awareness about the breast screening. Therefore, the objective of this study is to explore the factors that influence females’ intention towards breast cancer early diagnosis with health belief model and provide practical recommendations. To evaluate the proposed hypotheses in this study, 600 self-administrated questionnaires were distributed to Malaysian female who is 18 years old and above with the usage of non-probable sampling approach (convenience sampling approach). Given that, the findings demonstrate perceived barriers has the greatest impact towards females’ breast cancer early diagnosis intention, followed by perceived severity and perceived susceptibility. The contribution of this study is to evaluate the relationships between perceived severity, perceived susceptibility and perceived barriers towards females’ breast screening intention with the mediating variable of attitude. To support this, health believe model and theory of planned behaviour are employed in this research.

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Section: Health Belief Modelmentioning

confidence: 99%

Factors That Influence Females’ Intention towards Breast Cancer Early Diagnosis

Chin¹,

Mansori²

2018

CCO

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“…Figure illustrates the various health states and the potential transitions between them . Healthy women can transition to ductal carcinoma in situ (DCIS), stage I, or remain cancer‐free.…”

Section: Methodsmentioning

confidence: 99%

“…Sun et al Figure 2 illustrates the various health states and the potential transitions between them. 15 Healthy women can transition to ductal carcinoma in situ (DCIS), stage I, or remain cancerfree. Women with DCIS are at a higher risk of developing invasive breast cancer (relative risk = 2.02).…”

Section: What's New?mentioning

confidence: 99%

Cost‐effectiveness of breast cancer screening programme for women in rural China

Sun

Sadique

dos‐Santos‐Silva

et al. 2018

Intl Journal of Cancer

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In low and middle‐income countries mammographic breast cancer screening is prohibitively expensive and a cheaper alternative option is to use ultrasound as the primary screening test. In 2009, China launched a breast cancer screening programme for rural women aged 35–64 years with clinical breast examination coupled with ultrasound as the primary tool. Our study aimed to analyse the cost‐effectiveness of breast screening compared to no screening among Chinese rural women. We developed a Markov model to estimate the lifetime costs and effects for rural women aged 35 years from a societal perspective. Asymptomatic women in the intervention arm were screened every 3 years before age 64 years. Breast cancer in the non‐screening arm can only be diagnosed on presentation of symptoms. Parameter uncertainty was explored using one‐way and probabilistic sensitivity analyses. Compared to no screening, breast cancer screening cost $186.7 more and led to a loss of 0.20 quality‐adjusted life years (QALYs). Breast screening was more expensive and did harm to health among rural women with an incremental cost‐effectiveness ratio (ICER) of $‐916/QALY. The sensitivity analysis identified utility loss from false positives as the factor that most influenced the results, but this did not affect the conclusions. In a rural setting with such low breast cancer incidence, screening for asymptomatic disease is not cost‐effective with current screening tools. Priority should be given to ensure that symptomatic women have proper access to diagnosis and treatment at an early stage as this will lead to mortality reductions without the usual screening harms.

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“…It was concluded that high-risk population-based breast cancer screening is costeffective compared with no screening. (42) Some studies have focused on the value of screening but did not provide cost-effectiveness data while others provided the cost or outcome data. Examples of these studies are the following two studies: A study conducted in Egypt in 2010 revealed that the mean tumor size at diagnosis is 4.5 cm, and the median age is approximately 46 years.…”

Section: Studies On Cost-effectiveness Of Screening Programs For Breamentioning

confidence: 99%

Cost-Effectiveness of National Breast Cancer Screening Programs in Developing Countries, with Reference to the Recent Egyptian Initiative

Wahdan

2020

Journal of High Institute of Public Health

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Breast cancer was the second most common cancer in the world and the most common cancer in women both in developed and less developed world. It ranked the fifth cause of death from all cancers and caused the greatest number of cancer related deaths among women in 2018. A variety of factors have been shown to impact an individual's risk of developing breast cancer and its ultimate prognosis. Screening for breast cancer will help to reduce mortality, to confer lifetime protection, and to protect those with high risk factors. Cost-effectiveness analysis refers to the economic evaluation in which the costs and consequences of alternative interventions are expressed in cost per unit of health outcome. Studies on costeffectiveness of screening programs in developing countries used different methods and calculated different outcome measures. They studied different tools used for screening. Some studied the costeffectiveness of clinical breast examination and others studied that of mammography. The outcome measures varied, some studies calculated the cost-effectiveness ratio, while others calculated the incremental cost-effectiveness ratio, the disability adjusted life years and the quality adjusted life years. It is concluded that although population-based mammography has been widely adopted in high-income countries, it is less cost-effective in low-and middle-income countries which face some challenges such as the problem of investment in screenings. In developing countries, further research to study the cost-effectiveness of breast cancer screening, covering a comprehensive set of interventions and resulting in clear policy recommendations, is required.

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Cost–effectiveness of risk-based breast cancer screening programme, China

Cited by 58 publications

References 30 publications

Factors That Influence Females’ Intention towards Breast Cancer Early Diagnosis

Factors That Influence Females’ Intention towards Breast Cancer Early Diagnosis

Cost‐effectiveness of breast cancer screening programme for women in rural China

Cost-Effectiveness of National Breast Cancer Screening Programs in Developing Countries, with Reference to the Recent Egyptian Initiative

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