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Cervical cancer is the fifth most deadly cancer in women in Iran. The present study aimed to investigate the monetary value of cervical cancer screening benefits from a social perspective. A cross-sectional study was conducted among 480 women aged 30 to 59 years in Mazandaran province, Iran, from 2020-21. The willingness to pay (WTP) for screening tests- Pap smear and simultaneous tests- was investigated using a researcher-made questionnaire based on the contingent valuation method (CVM) in 2 separate sample groups. The first group received basic information regarding cervical cancer (Scenario 1), while the second received complementary information in addition to basic knowledge (Scenario 2). Multivariate regression was applied to examine factors affecting WTP and the difference between the mean WTP in 2 scenarios was analyzed by a t-test. The mean WTP of Pap smear and simultaneous tests was estimated at US$135.08 and US$160.19, respectively. There were significant and negative relationships between age and household size with the WTP of the Pap smear test. The number of people with income, household expenses, a chronic illness, and suggested base price indicated significant and positive effects on WTP of the Pap smear test. The number of people with income and household expenses showed significant and positive relationships with the WTP of simultaneous tests. There was no significant difference between the mean WTP of each group and the demand for screening tests was not elastic. The mean WTP of screening tests is notable when compared to their cost, demonstrating the need of concentrating on screening programs.
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http://dx.doi.org/10.47176/mjiri.36.72 | DOI Listing |
Cancer Causes Control
September 2025
College of Public Health, Iowa Cancer Registry, Epidemiology Department, University of Iowa, Iowa City, IA, USA.
Purpose: Human papillomavirus (HPV) causes oral and anogenital cancers, the incidence of which is increasing. Late-stage diagnosis is associated with increased mortality. Neighborhood-level characteristics and distance to place of diagnosis may impact timely diagnosis.
View Article and Find Full Text PDFJpn J Clin Oncol
September 2025
International Health Program, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St., Beitou Dist., Taipei City 112, Taipei, Taiwan.
Objectives: Treatment delay can adversely affect cancer prognosis and public health. However, previous studies have not examined the association between cancer treatment delay and 5-year mortality risk for various cancer types in a single study population.
Methods: We used retrospective cohort data from 21 740 patients diagnosed with common cancers between 2000 and 2017, with mortality follow-up to 2022, from the Philippines' Department of Health-Rizal Cancer Registry to understand how treatment delay of <30, 30-90, or >90 days was associated with 5-year all-cause mortality risk, by cancer type and stage at diagnosis.
Int J Gen Med
September 2025
Suzhou Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China.
Purpose: The fourth most common cause of cancer-related deaths in women is cervical cancer. Though treatment of early-stage cervical cancer is often effective, middle and advanced stage cervical cancer is hard to treat and prone to recurrence. We sought to explore the mechanism underlying cervical cancer progression to identify new therapeutic approaches.
View Article and Find Full Text PDFFront Immunol
September 2025
Department of Medicine, Division of Hematology, Bioclinicum and Center for Molecular Medicine, Karolinska Institute and Karolinska University Hospital Solna, Stockholm, Sweden.
Background: Metabolic reprogramming is an important hallmark of cervical cancer (CC), and extensive studies have provided important information for translational and clinical oncology. Here we sought to determine metabolic association with molecular aberrations, telomere maintenance and outcomes in CC.
Methods: RNA sequencing data from TCGA cohort of CC was analyzed for their metabolic gene expression profile and consensus clustering was then performed to classify tumors into different groups/subtypes.