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BACKGROUND: The COVID-19 pandemic and the confinement that was implemented in Argentina generated a need to implement innovative tools for the strengthening of diabetes care. Diabetes self-management education (DSME) is a core element of diabetes care; however, because of COVID-19 restrictions, in-person diabetes educational activities were suspended. Social networks have played an instrumental role in this context to provide DSME in 2 cities of Argentina and help persons with diabetes in their daily self-management. OBJECTIVE: The aim of this study is to evaluate 2 diabetes education modalities (synchronous and asynchronous) using the social media platform Facebook through the content of posts on diabetes educational sessions in 2 cities of Argentina during the COVID-19 pandemic. METHODS: In this qualitative study, we explored 2 modalities of e-learning (synchronous and asynchronous) for diabetes education that used the Facebook pages of public health institutions in Chaco and La Rioja, Argentina, in the context of confinement. Social media metrics and the content of the messages posted by users were analyzed. RESULTS: A total of 332 messages were analyzed. We found that in the asynchronous modality, there was a higher number of visualizations, while in the synchronous modality, there were more posts and interactions between educators and users. We also observed that the number of views increased when primary care clinics were incorporated as disseminators, sharing educational videos from the sessions via social media. Positive aspects were observed in the posts, consisting of messages of thanks and, to a lesser extent, reaffirmations, reflections or personal experiences, and consultations related to the subject treated. Another relevant finding was that the educator/moderator role had a greater presence in the synchronous modality, where posts were based on motivation for participation, help to resolve connectivity problems, and answers to specific user queries. CONCLUSIONS: Our findings show positive contributions of an educational intervention for diabetes care using the social media platform Facebook in the context of the COVID-19 pandemic. Although each modality (synchronous vs asynchronous) could have differential and particular advantages, we believe that these strategies have potential to be replicated and adapted to other contexts. However, more documented experiences are needed to explore their sustainability and long-term impact from the users' perspective.
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Cardiovascular diseases are the leading cause of mortality and morbidity in the Region of the Americas, and hypertension is one of the main risk factors. In 2018, Argentina began implementing the HEARTS Initiative in five primary health care centers, through the National Plan for the Prevention and Control of Arterial Hypertension. This study presents the impact its implementation has had on the indicators of effective coverage, treatment, combination therapy, and control. The HEARTS Initiative has multiple components; these include training health teams, reassigning tasks based on the transfer of clinical competencies, providing automatic and clinically validated blood pressure measurement devices, and using a single standardized treatment protocol. A longitudinal data model (generalized estimating equation analysis) was used, and the information from the five health centers was grouped using weighted averages according to the size of the population under coverage. Analysis of the results was stratified into two time periods delimited by the imposition of restrictions due to COVID-19. During the first period of 18 months, significant improvement was observed in treatment (5.9%; p<0.01) and combination therapy (13.4%; p<0.01), with no significant change in coverage (8.4%; p=0.87) and with a paradoxical decrease in control (-3.3%; p=0.02). When the period of restrictions was compared to the previous period, a generalized reduction was observed in all indicators, particularly coverage (-23.6%; p<0.01) and control (-12.5%; p<0.01). However, treatment and combination therapy levels remained above baseline values (1.7%; p<0.01 and 5.4%; p<0.01, respectively).
As doenças cardiovasculares são a principal causa de morbimortalidade, e a hipertensão, seu principal fator de risco. Em 2018, a Argentina começou a implementar a Iniciativa HEARTS em 5 centros de atenção primária à saúde por meio do Plano Nacional de Prevenção e Controle da Hipertensão Arterial. Este estudo apresenta o impacto de sua implementação nos indicadores de cobertura efetiva, tratamento, tratamento combinado e controle. A Iniciativa HEARTS inclui vários componentes. Entre eles, se destacam a capacitação das equipes de saúde, a reorganização das tarefas com base na transferência de competências clínicas, a disponibilização de aparelhos automáticos e clinicamente validados para aferição da pressão arterial e a utilização de um único protocolo padronizado de tratamento. Foi utilizado um modelo de equações de estimativas generalizadas para a análise de dados longitudinais, e as informações dos 5 centros de saúde foram agrupadas por meio de médias ponderadas de acordo com o tamanho da população coberta. A análise dos resultados foi estratificada em dois períodos de tempo delimitados pela irrupção das restrições em virtude da COVID-19. Durante os primeiros 18 meses, houve melhora significativa no tratamento (5,9%; p<0,01) e no tratamento combinado (13,4%; p<0,01), sem mudança significativa na cobertura (8,4%; p=0,87) e com uma diminuição paradoxal no controle (−3,3%; p=0,02). Durante as restrições e em relação ao período anterior, verificou-se redução generalizada em todos os indicadores, principalmente na cobertura (−23,6%; p<0,01) e no controle (−12,5%; p<0,01). No entanto, os níveis de tratamento e tratamento combinado persistiram acima dos valores basais (1,7%; p<0,01 e 5,4%; p<0,01, respectivamente).
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RESUMEN Las enfermedades cardiovasculares son la principal causa de morbimortalidad, y la hipertensión es su principal factor de riesgo. En 2018, Argentina comenzó a implementar la Iniciativa HEARTS en 5 centros de atención primaria de salud a través del Plan Nacional de Prevención y Control de la Hipertensión Arterial. En este estudio se presenta el impacto de su implementación en los indicadores de cobertura efectiva, tratamiento, tratamiento combinado y control. La Iniciativa HEARTS incluye múltiples componentes;entre ellos se destacan la capacitación de los equipos de salud, la reorganización de las tareas basada en la transferencia de competencias clínicas, la provisión de dispositivos de medición de la presión arterial automáticos y clínicamente validados, y la utilización de un único protocolo de tratamiento estandarizado. Se utilizó un modelo de datos longitudinales del tipo ecuación de estimación generalizada, y se agrupó la información de los 5 centros de salud mediante promedios ponderados según el tamaño de la población bajo cobertura. El análisis de los resultados fue estratificado en dos períodos de tiempo delimitados por la irrupción de las restricciones debidas al COVID-19. Durante el primer período de 18 meses se observó una mejoría significativa en el tratamiento (5,9%;p<0,01) y el tratamiento combinado (13,4%;p<0,01), sin cambios significativos en la cobertura (8,4%;p=0,87) y con un descenso paradojal en el control (−3,3%;p=0,02). Durante las restricciones y respecto del período previo, se constató una reducción generalizada en todos los indicadores, principalmente en la cobertura (−23,6%;p<0,01) y el control (−12,5%;p<0,01). Sin embargo, los niveles de tratamiento y tratamiento combinado persistieron por encima de los valores basales (1,7%;p<0,01 y 5,4%;p<0,01, respectivamente).
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Objective: To describe the design, delivery and evaluation of the 3rd Global Alliance for Chronic Diseases (GACD) Implementation Science School (ISS), delivered virtually in 2020 for the first time. Methods: Since 2014, GACD has supported the delivery of more than ten Implementation Science Workshops for more than 500 international participants. It has also been conducting an annual ISS since 2018. In this study, we described the design, delivery and evaluation of the third ISS. Results: Forty-six participants from 23 countries in five WHO regions attended the program. The virtual delivery was well-received and found to be efficient in program delivery, networking and for providing collaborative opportunities for trainees from many different countries. The recently developed GACD Implementation Science e-Hub was found to be an instrumental platform to support the program by providing a stand-alone, comprehensive online learning space for knowledge and skill development in implementation research. Conclusion: The delivery of the virtual GACD ISS proved to be feasible, acceptable and effective and offers greater scalability and sustainability as part of a future strategy for capacity strengthening in implementation research globally.
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INTRODUCTION: There is an urgent need to reduce the burden of non-communicable diseases (NCDs), particularly in low-and middle-income countries, where the greatest burden lies. Yet, there is little research concerning the specific issues involved in scaling up NCD interventions targeting low-resource settings. We propose to examine this gap in up to 27 collaborative projects, which were funded by the Global Alliance for Chronic Diseases (GACD) 2019 Scale Up Call, reflecting a total funding investment of approximately US$50 million. These projects represent diverse countries, contexts and adopt varied approaches and study designs to scale-up complex, evidence-based interventions to improve hypertension and diabetes outcomes. A systematic inquiry of these projects will provide necessary scientific insights into the enablers and challenges in the scale up of complex NCD interventions. METHODS AND ANALYSIS: We will apply systems thinking (a holistic approach to analyse the inter-relationship between constituent parts of scaleup interventions and the context in which the interventions are implemented) and adopt a longitudinal mixed-methods study design to explore the planning and early implementation phases of scale up projects. Data will be gathered at three time periods, namely, at planning (TP), initiation of implementation (T0) and 1-year postinitiation (T1). We will extract project-related data from secondary documents at TP and conduct multistakeholder qualitative interviews to gather data at T0 and T1. We will undertake descriptive statistical analysis of TP data and analyse T0 and T1 data using inductive thematic coding. The data extraction tool and interview guides were developed based on a literature review of scale-up frameworks. ETHICS AND DISSEMINATION: The current protocol was approved by the Monash University Human Research Ethics Committee (HREC number 23482). Informed consent will be obtained from all participants. The study findings will be disseminated through peer-reviewed publications and more broadly through the GACD network.
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Diabetes Mellitus , Hypertension , Noncommunicable Diseases , Developing Countries , Diabetes Mellitus/therapy , Humans , Hypertension/diagnosis , Hypertension/therapy , Noncommunicable Diseases/therapy , Systems AnalysisABSTRACT
Background: The COVID-19 pandemic presents a challenge to health care for patients with chronic diseases, especially hypertension, because of the important association and increased risk of these patients with a severe presentation of COVID-19 disease. The Guatemalan Ministry of Health has been implementing a multi-component program aimed at improving hypertension control in rural communities since 2019 as a part of an intervention research cluster randomized trial. When the first cases of COVID-19 were reported (March 13, 2020) in Guatemala, our study paused all study field activities, and began monitoring participants through phone calls. The objective of this paper is to describe the approach used to monitor study participants during the COVID-19 pandemic and compare data obtained during phone calls for intervention and control group participants. Methods: We developed a cross-sectional study within the HyTREC (Hypertension Outcomes for T4 Research within Lower Middle-Income Countries) project 'Multicomponent Intervention to Improve Hypertension Control in Central America: Guatemala' in which phone calls were made to participants from both intervention and control groups to monitor measures important to the study: delivery of antihypertensive medications in both groups, receipt of coaching sessions and use of a home blood pressure monitor by intervention group participants, as well as reasons that they were not implemented. Results: Regarding the delivery of antihypertensive drugs by the MoH to participants, those in the intervention group had a higher level of medication delivery (73%) than the control group (51%), p<0.001. Of the total participants in the intervention group, 62% had received at least one health coaching session in the previous three months and 81% used a digital home blood pressure monitor at least twice a week. Intervention activities were lower than expected due to restricted public transportation on top of decreased availability of health providers. Conclusion: In Guatemala, specifically in rural settings, access to antihypertensive medications and health services during pandemic times was impaired and less than expected, even after accounting for the program's implementation activities and actions.
Subject(s)
COVID-19 , Hypertension , Cross-Sectional Studies , Guatemala/epidemiology , Humans , Hypertension/epidemiology , Hypertension/prevention & control , Pandemics , SARS-CoV-2ABSTRACT
CONICET’s Translational Health Research Network is coordinating efforts to advance in translational medicine. Health researchers initiate and focus their research with the aim of improving the health and quality of life of the population. An efficient research system should address health problems relevant to the population resulting in interventions and outcomes important for patients and health professionals. Recommendations to achieve this involve large thematic areas like (a) to set research priorities;(b) to improve research methodology;(c) to make research management and regulation transparent;(d) to increase accessibility to all results;and (e) to improve research dissemination. The recent COVID-19 pandemic has been a clear demonstration of how the country’s research system has united the most diverse disciplines to jointly provide solutions to address it. An active and transparent mechanism to identify priorities in the country and to unite funding and research efforts to provide solutions to those priorities is proposed. Translational health research means the joint work of the most diverse health research disciplines in order to jointly obtain efficient and effective interventions to improve the health and quality of life of the population.
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La Red de Investigación Traslacional en Salud del CONICET está coordinando esfuerzos para avanzar en la medicina traslacional. Los investigadores en salud comienzan y dirigen sus investigaciones con el objetivo de mejorar la salud y calidad de vida de la población. Un sistema de investigación eficiente debe abordar los problemas de salud de importancia para las poblaciones y las intervenciones y resultados que los pacientes y los profesionales de la salud consideren importantes. Las recomendaciones tienen que ver con grandes grupos temáticos que son (a) explicitar la relevancia de la investigación y, por tanto, sus prioridades (b) mejorar la metodología de investigación (c) transparentar la gestión y regulación de la investigación (d) aumentar la accesibilidad a todos los resultados relevantes, y (e) mejorar la manera en que se difunde la investigación. La reciente pandemia de COVID-19 ha sido una clara demostración de cómo el sistema de investigación del país ha unido las más diversas disciplinas para, en forma conjunta, brindar soluciones para enfrentarla. La reciente experiencia consolida que haya un mecanismo activo y transparente de identificación de prioridades en el país y la unión de esfuerzos de financiamiento y de investigadores en brindar soluciones a dichas prioridades. La investigación traslacional en salud significa el trabajo mancomunado de las más diversas disciplinas de investigación en salud para, en forma conjunta, obtener intervenciones eficaces y efectivas que impacten en la mejoría de la salud y la calidad de vida de la población. CONICET's Translational Health Research Network is coordinating efforts to advance in translational medicine. Health researchers initiate and focus their research with the aim of improving the health and quality of life of the population. An efficient research system should address health problems relevant to the population resulting in interventions and outcomes important for patients and health professionals. Recommendations to achieve this involve large thematic areas like (a) to set research priorities;(b) to improve research methodology;(c) to make research management and regulation transparent;(d) to increase accessibility to all results;and (e) to improve research dissemination. The recent COVID-19 pandemic has been a clear demonstration of how the country's research system has united the most diverse disciplines to jointly provide solutions to address it. An active and transparent mechanism to identify priorities in the country and to unite funding and research efforts to provide solutions to those priorities is proposed. Translational health research means the joint work of the most diverse health research disciplines in order to jointly obtain efficient and effective interventions to improve the health and quality of life of the population.