Publications by authors named "M K Bendiane"
Objective: A major concern for cancer survivors after treatment is the Fear of Cancer Recurrence (FCR), which is the fear that cancer will reappear or progress. This fear can be exacerbated by medical uncertainty about the future, leading to harmful obsession and having a negative impact on quality of life. This study aims to develop a predictive Machine Learning (ML) model using healthcare reimbursement data to better predict FCR and understand the factors influencing FCR in women with breast cancer five years after their diagnosis.
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- Réunion Island faces higher rates of cervical cancer and mortality compared to mainland France, prompting the need to assess barriers to Pap smear screening among local women.
- A KABP survey was conducted with 1,000 women aged 25 to 65 to identify factors affecting their participation in screening, utilizing phone interviews and statistical analyses to compare demographics.
- Key factors linked to lower screening rates include being over 55, childless, having a low income, limited health literacy, not visiting a doctor recently, and being obese, suggesting targeted interventions for these groups could improve screening rates.
Background: Breast cancer treatments may have impacts on several aspects of sexual health, including psychological, psychosexual, physiological, physical, and relational.
Aim: In this study we sought to assess sexual function and sexual frequency in breast cancer patients 2 years after diagnosis.
Methods: We selected all breast cancer participants from the the French national VIe après le CANcer 2 (VICAN 2) longitudinal study.
In South Africa, the population at risk of malaria is 10% (around six million inhabitants) and concern only three provinces of which Limpopo Province is the most affected, particularly in Vhembe District. As the elimination approaches, a finer scale analysis is needed to accelerate the results. Therefore, in the process of refining local malaria control and elimination strategies, the aim of this study was to identify and describe malaria incidence patterns at the locality scale in the Vhembe District, Limpopo Province, South Africa.
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- Testing was crucial in managing COVID-19, particularly in identifying disparities in testing coverage among different socio-demographic groups in South-Eastern France.
- An ecological analysis revealed six socio-demographic profiles based on deprivation levels and urban-rural distinctions, showing significant fluctuations in testing rates across these groups.
- The study found that while testing rates were highest in privileged and downtown areas, very deprived populations experienced the lowest testing rates, highlighting inequities in healthcare access during the pandemic.