Patterns of care and cost profiles of women with breast cancer in Italy: EPICOST study based on real world data

Francisci, Silvia; Guzzinati, Stefano; Capodaglio, Giulia; Pierannunzio, Daniela; Mallone, Sandra; Tavilla, Andrea; López, Tania; Busco, Susanna; Mazzucco, Walter; Angiolini, Catia; Zorzi, Manuel; Serraino, Diego; Barchielli, Alessandro; Fusco, Mario; Stracci, Fabrizio; Bianconi, Fortunato; Iacovacci, Silvia; Russo, Antonio; Cusimano, Rosanna; Gigli, Anna

doi:10.1007/s10198-020-01190-z

Cited by 17 publications

(16 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This literature is reviewed below. Francisci et al (2020) estimated total direct health care costs associated with the diagnosis and treatment of women with BC in Italy. Their study also examined the distribution by service type according to the disease pathway and patient characteristics.…”

Section: Review Of Empirical Studies On the Productivity Effect Of Breast Cancer: International Experiencementioning

confidence: 99%

Productivity and Income Effect of Breast Cancer among Women in Southwestern Nigeria

Mbonigaba

Akinola

2021

Economies

View full text Add to dashboard Cite

Women’s breast cancer (BC) in Africa is detrimental to development, given the role women play in their families and society’s well-being. Policymakers should be alerted to the effects of BC. This paper describes the income impact of breast cancer and assesses factors that influence income and productivity among women with BC. Cross-sectional data were collected using questionnaires on 200 women with clinically confirmed BC cases in Southwest Nigeria over 6 months. About sixty-one percent (61.5%) of the women with clinically confirmed BC cases were self-employed, 62% were absent at the workplace for 7 days, indicating that 31.8% suffered productivity loss at the workplace on average. Sixteen percent of women in the group were absent at the workplace for an average of 10 days, showing a 45.5% productivity loss at the workplace. Lastly, 22% of the women were absent at the workplace for more than 2 weeks on average. An increasing incidence of BC among women causes a 26.2% decrease in productivity level at the workplace. The results from simple linear regression corroborate the findings from the descriptive statistics that BC has a significant but inverse effect on women’s income and productivity. It showed that an increase in the number of confirmed cases of BC will decrease economic impact and productivity by 13.5% and 19.5%, respectively. These findings urgently call for the attention of the policymakers.

show abstract

Section: Review Of Empirical Studies On the Productivity Effect Of Breast Cancer: International Experiencementioning

confidence: 99%

Productivity and Income Effect of Breast Cancer among Women in Southwestern Nigeria

Mbonigaba

Akinola

2021

Economies

View full text Add to dashboard Cite

show abstract

“…Moreover, changes in reproductive patterns, such as a later age at first childbirth and lower parity, have contributed to the higher female cancer burden worldwide [6]. In addition to the morbidity and mortality burdens, cancer diagnoses worldwide carry a considerable economic impact on health systems, including direct costs, mostly the ones related to treatment; and indirect costs, such as the ones charged to the families or the society according to loss of income or productivity [7].…”

Section: Introductionmentioning

confidence: 99%

The Role of Vaccination and Screening in Limiting the Worldwide Disease Burden of Preventable Female Cancers: A Review

Costantino¹,

Alba²,

Cimino³

et al. 2020

Women

Self Cite

View full text Add to dashboard Cite

Cancer represents one of the most common causes of death worldwide. Among women, breast cancer is the most diagnosed cancer and the principal cause of death due to malignant disease, while cervical cancer ranks fourth for both incidence and mortality. The present review aims to analyze the epidemiology of cervical and breast cancer (incidence, mortality, survival rates, and trends). Moreover, the most important primary and secondary preventive strategies (reduction of risk factors, exposure, vaccination, cancer screening) intended to reduce the future burden of cervical and breast cancer, that should be adopted actively and free of charge, were discussed in accordance to more recent and evidence-based findings.

show abstract

“…The breakdown of prevalence into phases of care has been used in several studies. [6][7][8][9][10][11][12] Phases of care have usually been classified into three clinically relevant phases: initial (first 12 months after diagnosis), end of life (EOL) (12 months prior to death), and continuing phase, defined as the time in between initial and EOL. Different methods have been used to estimate prevalence by phases of care depending on the type of available data.…”

Section: Introductionmentioning

confidence: 99%

“…For individual data, patients are classified into a single phase using the dates of diagnosis and date of death if the patient died. 11,12 If grouped prevalence data are available, methods combining prevalence and survival have been used. 6 The objective of this study is to introduce a new method to estimate prevalence by phases of care using grouped prevalence data that was recently implemented into a dedicated session of the COMPREV software and to present an application to United States and Italian data.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Cancer prevalence by phase of care: an indicator for assessing health service needs

Gigli

Francisci

Hall

et al. 2020

Tumori

Self Cite

View full text Add to dashboard Cite

Introduction: Cancer prevalence (people alive on a certain date in a population who previously had a cancer diagnosis) is expected to increase in the United States and Europe due to improvements in survival and population aging. Examination of prevalence by phase of care allows us to identify subgroups of patients according to their care trajectories, thus allowing us to improve health care planning, resource allocation, and calculation of costs. Methods: A new method to estimate prevalence by phase of care using grouped data is illustrated. Prevalence is divided into 3 mutually exclusive phases: initial, continuing, and end-of-life. An application to US and Italian data is applied to prevalent cases diagnosed with colon–rectum, stomach, lung, or breast cancer. Results: The distribution of phase of care prevalence estimated by cancer type and sex and results from the two datasets are very similar. Most survivors are in the continuing phase; the end-of-life phase is larger for cancers with worse prognosis. All phases prevalence is generally higher in the Italian than in the US dataset, except for lung cancer in women, where prevalence proportion in the Italian dataset is 30% lower than in the United States. Discussion: Incidence, survival, and population age structure are the main determinants of prevalence and they can affect differences in all phases of prevalence, as well as in discrete phases. Incidence is the most influential determinant. Ours is the first study that compares prevalence by phase of care between two populations in Italy and the United States. Despite great differences in health care management in the two countries, we found extremely similar distribution of survivors by phase of care for most cancer sites under study.

show abstract

Patterns of care and cost profiles of women with breast cancer in Italy: EPICOST study based on real world data

Cited by 17 publications

References 16 publications

Productivity and Income Effect of Breast Cancer among Women in Southwestern Nigeria

Productivity and Income Effect of Breast Cancer among Women in Southwestern Nigeria

The Role of Vaccination and Screening in Limiting the Worldwide Disease Burden of Preventable Female Cancers: A Review

Cancer prevalence by phase of care: an indicator for assessing health service needs

Contact Info

Product

Resources

About