RESUMO
In September 2020, the National Institutes of Health acted in response to the COVID-19 pandemic, recognizing the critical need to combat misinformation, particularly in communities disproportionately affected by the crisis. The Community Engagement Alliance (CEAL) emerged as an initiative dedicated to fostering reliable, science-based information, diversity, and inclusion; aiming to implement effective strategies to mitigate the spread of COVID-19 nationwide. One of the teams participating in this initiative is Puerto Rico-CEAL (PR-CEAL). Our whose goal was to raise awareness about the coronavirus disease and advance research, mainly focusing on vulnerable and underserved populations. This concept paper seeks to outline PR-CEAL's infrastructure during its initial two cycles, providing insights into the research and community engagement activities designed to enhance prevention, counter misinformation, and foster awareness and uptake of COVID-19 vaccines. Ultimately, our objective is to reflect on the strengths and challenges encountered thus far as we endeavor to sustain this robust infrastructure, addressing ongoing public health issues with a forward-looking approach.
Assuntos
COVID-19 , Participação da Comunidade , Humanos , COVID-19/prevenção & controle , COVID-19/epidemiologia , Porto Rico , SARS-CoV-2 , Disparidades nos Níveis de Saúde , Relações Comunidade-Instituição , Populações Vulneráveis , Estados Unidos , Vacinas contra COVID-19 , Pandemias/prevenção & controle , ComunicaçãoRESUMO
OBJECTIVE: Cancer patients are among the most vulnerable populations during and after a disaster. We evaluated the impact of treatment interruption on the survival of women with gynecologic cancer in Puerto Rico following Hurricanes Irma and María. METHODS: A retrospective cohort study among a clinic-based sample of women with gynecological cancer diagnosed between January 2016 and September 2017 (n = 112) was done. Women were followed from their diagnosis until December 2019, to assess vital status. Kaplan-Meier survival curves and Cox proportional hazards models were performed. RESULTS: Mean age was 56 (± 12.3) years; corpus uteri (58.9%) was the most common gynecologic cancer. Predominant treatments were surgery (91.1%) and chemotherapy (44.6%). Overall, 75.9% were receiving treatment before the hurricanes, 16.1% experienced treatment interruptions, and 8.9% died during the follow-up period. Factors associated with treatment interruption in bivariate analysis included younger age (≤55 years), having regional/distant disease, and receiving > 1 cancer treatment (P < 0.05). Crude analysis revealed an increased risk of death among women with treatment interruption (HR: 3.88, 95% CI: 1.09-13.77), persisting after adjusting for age and cancer stage (HR: 2.49, 95% CI: 0.69-9.01). CONCLUSIONS: Findings underscore the detrimental impact of treatment interruption on cancer survival in the aftermath of hurricanes, emphasizing the need for emergency response plans for this vulnerable population.