The direct medical cost of breast cancer management in a provincial hospital of Papua New Guinea: A cost of illness study of consecutive patients from 2017 to 2022.

BACKGROUND: Breast cancer is a major global health, gender and socioeconomic challenge. In PNG it is the leading cause of female mortality. Understanding direct medical costs related to breast cancer management can direct resource allocation and investment in breast cancer screening, treatment, infastructure and training. METHODS: A cost of illness study was conducted amongst patients with breast cancer at Alotau Provincial Hospital from the 12th of January 2017-9 th of August 2022. A bottom up approach of micro costing was applied to estimate the patient and hospital perspectives of direct medical costs. RESULTS: The total cost of breast cancer management was K1,624,656.14 (US$471,150.28). 58.5 % (n = 38) of patients with breast cancer did not undergo any form of surgery. Hospital costs accounted for 99.7 % (K1,620,156.14, US$469,845.28) of the total direct medical costs. The average cost per patient was K24,994.71 (US$ 7248.47). The dollar conversion was 1 KINA = 0.29 USD. CONCLUSION: Investment in screening, diagnosis and treatment is crucial in addressing the burden of breast cancer in PNG. POLICY SUMMARY: Provincial hospitals (in PNG) must invest in and implement the 2015 National Cancer Control Policy strategies that aim to develop hospital based cancer registries, human resources, equip health systems, improve cancer screening, improve diagnostics, research, funding and treatment for breast cancer control.

Correlation of the BI-RADS assessment categories of Papua New Guinean women with mammographic parenchymal patterns, age and diagnosis.

INTRODUCTION: Women with increased breast density are at increased risk of breast cancer. The aim of this research is to evidence for the first time the mammographic breast findings of Papua New Guinean (PNG) women and the relationship between Breast Imaging-Reporting and Data System (BI-RADS) assessment, mammographic parenchymal patterns (MPPs) and age. METHODS: A retrospective analysis of 1357 mammograms of women imaged at the Pacific International Hospital (PIH) from August 2006 to July 2010 was undertaken. Mammographic findings were categorised using the BI-RADS Atlas® 5th Edition. MPPs were recorded for each woman using the Tabár Pattern I-V classification system. Age was recorded in years. Statistical analysis was by descriptive analysis and Kruskal-Wallis with Dunn's post-test and Spearman's rho correlation for inferential analysis. RESULTS: True pathological findings (benign and malignant); BI-RADS 2-5 were noted in 111 women (8.2%); 1242 (91.5%) were negative. BI-RADS categories for malignancy were reported in 16 (88.9%) of women aged 30 to 60 years. The lower risk Tabár Type I, II and III MPPs were associated with 94.4% (n = 17) of malignancies. Linear correlations between variables were weak and not statistically significant: age and Tabár pattern r = 0.031, P = 0.0261; age and BI-RADS r = 0.018, P = 0.517; Tabár pattern and BI-RADS r = 0.020, P = 0.459 (n = 1357). CONCLUSION: There was no correlation demonstrated between BI-RADS category, age and MPP. Importantly, there was no correlation demonstrated between BI-RADS categories 4 and 5 for breast malignancy and high-risk Tabár Type IV and V MPPs. The results of this study again reflect that the incidence of breast cancer in PNG cannot be explained by breast density and suggest that any formalised screening program in PNG has a target age group aimed at women younger than that of Western screening programs.