Phone contacts and treatment discontinuation predict survival cancer patients in a subsidized drug access program.

Aim: Survival of patients with Hodgkin's lymphoma is lower in in low- and middle-income countries, but factors leading to these outcomes are poorly understood. The objective of this study was to identify predictive factors associated with overall survival among cancer patients undergoing therapy in seven low- and middle-income countries. Materials & methods: A multicenter cohort was conducted in Egypt, Malaysia, Mexico, Peru, Philippines, Thailand and Ukraine. Results. A total of 460 patients were included. Phone-based support during patient follow-up and number of patients seen by the physician provided a positive impact, while the number of adverse events remains a predictor of death and physician decision to stop treatment. Conclusion: Furthers research on the potential benefit of phone-based programs to support patients with chronic diseases treatments should be explored in less developed countries.

Factors impacting self-management ability in patients with chronic diseases in the United Arab Emirates, 2019.

Aim: Poor adherence to chronic disease therapy is a critical global problem that negatively effects the long-term therapy for chronic diseases, resulting in negative population health and economic effects. The WHO multidimensional model proposed a systems-based approach for improving adherence to chronic disease therapy. Patients & methods: In the current study, the WHO five-dimension framework was used to evaluate factors among, chronic-disease patients in the United Arab Emirates. Results: We show that patient's understanding of disease, involvement in treatment decision, age more than 40 years, time spent with physician and fear of how patients were perceived by others were the most predictive factors associated with a high ability to self-manage a chronic disease. Conclusion: Sociocultural factors have an indirect impact on disease self-management.

Ability to pay for medication: a clustering analysis of 1404 patients with the Patient Financial Eligibility Tool.

Aim: The study was conducted to understand how key determinants of the Patient Financial Eligibility Tool (PFET), a previously validated tool for assessing patients' ability to contribute to their medication costs, vary across countries. Materials & methods: A clustering analysis was conducted on economic data from 1404 patients from Thailand (n = 947), the UAE (n = 347) and Mexico (n = 110). Results: The analysis identified seven patient clusters, including globally wealthy or poor patients (14%/48%) and those with only selectively increased PFET economic indicators (38%), and revealed country-specific differences in the correlation between PFET metrics and patients' overall economic status. Conclusion: The PFET is a versatile tool that can be adapted to each country's economic context to assess patients' ability to contribute to their medication costs.