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.

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.

Societal impact of dengue outbreaks: Stakeholder perceptions and related implications. A qualitative study in Brazil, 2015.

BACKGROUND: The growing burden of dengue in many countries worldwide and the difficulty of preventing outbreaks have increased the urgency to identify alternative public health management strategies and effective approaches to control and prevent dengue outbreaks. The objectives of this study were to understand the impact of dengue outbreak on different stakeholders in Brazil, to explore their perceptions of approaches used by governmental authorities to control and prevent dengue outbreaks and to define the challenges and implications of preventing future outbreaks. METHODS: In 2015, a qualitative study was conducted in two urban states in Brazil: São Paulo, which was experiencing an outbreak in 2015, and Rio de Janeiro, which experienced outbreaks in 2011 and 2012. Face-to-face interviews using a semi-structured questionnaire were conducted with nine different categories of stakeholders: health workers (physicians, nurses), hospital administrators, municipal government representatives, community members and leaders, school administrators, business leaders and vector control managers. Interviews were focused on the following areas: impact of the dengue outbreak, perceptions of control measures implemented by governmental authorities during outbreaks and challenges in preventing future dengue outbreaks. RESULTS: A total of 40 stakeholders were included in the study. Health workers and community members reported longer waiting times at hospitals due to the increased number of patients receiving care for dengue-related symptoms. Health workers and hospital administrators reported that there were no major interruptions in access to care. Overall financial impact of dengue outbreaks on households was greatest for low-income families. Despite prevention and control campaigns implemented between outbreak periods, various stakeholders reported that dengue prevention and control efforts performed by municipal authorities remained insufficient, suggesting that efforts should be reinforced and better coordinated by governmental authorities, particularly during outbreak periods. CONCLUSION: The study shows that a dengue outbreak has a multisectorial impact in the medical, societal, economic and political sectors. The study provides useful insights and knowledge in different stakeholder populations that could guide local authorities and government officials in planning, designing and initiating public health programs. Research focused on a better understanding of how communities and political authorities respond to dengue outbreaks is a necessary component for designing and implementing plans to decrease the incidence and impact of dengue outbreaks in Brazil.

Assessment of eight HPV vaccination programs implemented in lowest income countries.

BACKGROUND: Cervix cancer, preventable, continues to be the third most common cancer in women worldwide, especially in lowest income countries. Prophylactic HPV vaccination should help to reduce the morbidity and mortality associated with cervical cancer. The purpose of the study was to describe the results of and key concerns in eight HPV vaccination programs conducted in seven lowest income countries through the Gardasil Access Program (GAP). METHODS: The GAP provides free HPV vaccine to organizations and institutions in lowest income countries. The HPV vaccination programs were entirely developed, implemented and managed by local institutions. Institutions submitted application forms with institution characteristics, target population, communication delivery strategies. After completion of the vaccination campaign (3 doses), institutions provided a final project report with data on doses administered and vaccination models. Two indicators were calculated, the program vaccination coverage and adherence. Qualitative data were also collected in the following areas: government and community involvement; communication, and sensitization; training and logistics resources, and challenges. RESULTS: A total of eight programs were implemented in seven countries. The eight programs initially targeted a total of 87,580 girls, of which 76,983 received the full 3-dose vaccine course, with mean program vaccination coverage of 87.8%; the mean adherence between the first and third doses of vaccine was 90.9%. Three programs used school-based delivery models, 2 used health facility-based models, and 3 used mixed models that included schools and health facilities. Models that included school-based vaccination were most effective at reaching girls aged 9-13 years. Mixed models comprising school and health facility-based vaccination had better overall performance compared with models using just one of the methods. Increased rates of program coverage and adherence were positively correlated with the number of vaccination sites. Qualitative key insights from the school models showed a high level of coordination and logistics to facilitate vaccination administration, a lower risk of girls being lost to follow-up and vaccinations conducted within the academic year limit the number of girls lost to follow-up. CONCLUSION: Mixed models that incorporate both schools and health facilities appear to be the most effective at delivering HPV vaccine. This study provides lessons for development of public health programs and policies as countries go forward in national decision-making for HPV vaccination.

HIV prevention costs and program scale: data from the PANCEA project in five low and middle-income countries.

BACKGROUND: Economic theory and limited empirical data suggest that costs per unit of HIV prevention program output (unit costs) will initially decrease as small programs expand. Unit costs may then reach a nadir and start to increase if expansion continues beyond the economically optimal size. Information on the relationship between scale and unit costs is critical to project the cost of global HIV prevention efforts and to allocate prevention resources efficiently. METHODS: The "Prevent AIDS: Network for Cost-Effectiveness Analysis" (PANCEA) project collected 2003 and 2004 cost and output data from 206 HIV prevention programs of six types in five countries. The association between scale and efficiency for each intervention type was examined for each country. Our team characterized the direction, shape, and strength of this association by fitting bivariate regression lines to scatter plots of output levels and unit costs. We chose the regression forms with the highest explanatory power (R2). RESULTS: Efficiency increased with scale, across all countries and interventions. This association varied within intervention and within country, in terms of the range in scale and efficiency, the best fitting regression form, and the slope of the regression. The fraction of variation in efficiency explained by scale ranged from 26-96%. Doubling in scale resulted in reductions in unit costs averaging 34.2% (ranging from 2.4% to 58.0%). Two regression trends, in India, suggested an inflection point beyond which unit costs increased. CONCLUSION: Unit costs decrease with scale across a wide range of service types and volumes. These country and intervention-specific findings can inform projections of the global cost of scaling up HIV prevention efforts.