RESUMO
Members of the Adolescent HIV Prevention and Treatment Implementation Science Alliance (AHISA) network conduct research aiming to close gaps between what is known to be impactful across the HIV prevention and treatment cascade, and services delivered to optimize outcomes for adolescents/young adults (AYA) in high HIV-prevalence settings. The COVID-19 pandemic introduced new challenges which threaten to exacerbate care and access disparities. We report results of a survey among AHISA teams with active AYA HIV research programs in African countries to determine how the pandemic has impacted their efforts. Results highlighted the detrimental impact of the pandemic on research efforts and the expanded need for implementation research to help provide evidence-based, context-specific pandemic recovery support. Key lessons learned included the viability of remote service delivery strategies and other innovations, the need for adaptive systems that respond to evolving contextual needs, and the need for organized documentation plans, within empathic and flexible environments.
Assuntos
Síndrome da Imunodeficiência Adquirida , COVID-19 , Infecções por HIV , Adulto Jovem , Humanos , Adolescente , Infecções por HIV/epidemiologia , Infecções por HIV/prevenção & controle , Pandemias , COVID-19/prevenção & controle , Síndrome da Imunodeficiência Adquirida/prevenção & controle , ÁfricaRESUMO
We investigated perceived impacts of COVID-19 on the delivery of adolescent HIV treatment and prevention services in sub-Saharan Africa (SSA) by administering a survey to members of the Adolescent HIV Prevention and Treatment Implementation Science Alliance (AHISA) from February to April 2021. We organized COVID-19 impacts, as perceived by AHISA teams, under three themes: service interruptions, service adjustments, and perceived individual-level health impacts. AHISA teams commonly reported interruptions to prevention programs, diagnostic testing, and access to antiretroviral therapy (ART). Common service adjustments included decentralization of ART refills, expanded multi-month ART distribution, and digital technology use. Perceived individual-level impacts included social isolation, loss to follow-up, food insecurity, poverty, and increases in adolescent pregnancies and sexually transmitted infections. The need for collaboration among stakeholders were commonly cited as lessons learned by AHISA teams. Survey findings highlight the need for implementation science research to evaluate the effects of pandemic-related HIV service adaptations in SSA.
Assuntos
Síndrome da Imunodeficiência Adquirida , COVID-19 , Infecções por HIV , Gravidez , Feminino , Humanos , Adolescente , COVID-19/prevenção & controle , Infecções por HIV/tratamento farmacológico , Infecções por HIV/epidemiologia , Infecções por HIV/prevenção & controle , Síndrome da Imunodeficiência Adquirida/tratamento farmacológico , Acessibilidade aos Serviços de Saúde , Antirretrovirais/uso terapêuticoRESUMO
Electronic health record (EHR)-derived data can be linked to geospatially distributed socioeconomic and environmental factors to conduct large-scale epidemiologic studies. Ambient NO2 is a known environmental risk factor for asthma. However, health exposure studies often rely on data from geographically sparse regulatory monitors that may not reflect true individual exposure. We contrasted use of interpolated NO2 regulatory monitor data with raw satellite measurements and satellite-derived ground estimates, building on previous work which has computed improved exposure estimates from remotely sensed data. Raw satellite and satellite-derived ground measurements captured spatial variation missed by interpolated ground monitor measurements. Multivariable analyses comparing these three NO2 measurement approaches (interpolated monitor, raw satellite, and satellite-derived) revealed a positive relationship between exposure and asthma exacerbations for both satellite measurements. Exposure-outcome relationships using the interpolated monitor NO2 were inconsistent with known relationships to asthma, suggesting that interpolated monitor data might yield misleading results in small region studies.