ABSTRACT
OBJECTIVE: To describe and compare the structure of Argentinean intensive care units that completed the "self-assessment survey of intensive care units" developed by the Sociedad Argentina de Terapia Intensiva. METHODS: An observational crosssectional study was conducted using an online voluntary survey through the Sociedad Argentina de Terapia Intensiva member database and other social media postings. Answers received between December 2018 and July 2020 were analyzed. Descriptive statistics and nonparametric tests were used. RESULTS: A total of 392 surveys were received, and 244 were considered for the analysis. Seventy-seven percent (187/244) belonged to adult intensive care units, and 23% (57/244) belonged to pediatric intensive care units. The overall completion rate was 76%. The sample included 2,567 ICU beds (adult: 1,981; pediatric: 586). We observed a clear concentration of intensive care units in the Central and Buenos Aires regions of Argentina. The median number of beds was 10 (interquartile range 7 - 15).The median numbers of multiparameter monitors, mechanical ventilators, and pulse oximeters were 1 per bed with no regional or intensive care unit type differences (adult versus pediatric). Although our sample showed that the pediatric intensive care units had a higher mechanical ventilation/bed ratio than the adult intensive care units, this finding was not linearly correlated. CONCLUSION: Argentina has a notable concentration of critical care beds and better structural complexity in the Buenos Aires and Centro regions for both adult and pediatric intensive care units. In addition, a lack of accurate data reported from the intensive care unit structure and resources was observed. Further improvement opportunities are required to allocate intensive care unit resources at the institutional and regional levels.
OBJETIVO: Descrever e comparar a estrutura das unidades de terapia intensiva argentinas que responderam ao inquérito de autoavaliação de unidades de terapia intensiva desenvolvido pela Sociedad Argentina de Terapia Intensiva. MÉTODOS: Foi realizado um estudo transversal observacional com uso de um inquérito voluntário online por meio do banco de dados de membros da Sociedad Argentina de Terapia Intensiva e outras publicações em mídias sociais. Foram analisadas as respostas recebidas entre dezembro de 2018 e julho de 2020. Foram utilizados testes não paramétricos e estatística descritiva. RESULTADOS: Foram recebidos 392 inquéritos, sendo 244 considerados para a análise. Eram de unidades de terapia intensiva adulto 77% (187/244), e 23% (57/244) eram de unidades de terapia intensiva pediátrica. A taxa de participação foi de 76%. A amostra incluiu 2.567 leitos de unidades de terapia intensiva (1.981 adulto e 586 pediátrica). Observamos nítida concentração de unidades de terapia intensiva nas regiões Centro e Buenos Aires, Argentina.A mediana de leitos foi de dez (intervalo interquartil 7 - 15). A mediana de monitores multiparamétricos, ventiladores mecânicos e oxímetros de pulso foi de um por leito, sem diferenças regionais ou de tipo de unidade de terapia intensiva (adulto ou pediátrica). Embora nossa amostra tenha evidenciado que as unidades de terapia intensiva pediátrica apresentaram proporção de ventilação mecânica/leito maior do que as unidades de terapia intensiva adulto, esse achado não foi linearmente correlacionado. CONCLUSÃO: A Argentina tem concentração notável de leitos de cuidados intensivos e complexidade estrutural superior nas regiões de Buenos Aires e Centro, tanto de unidades de terapia intensiva adulto quanto pediátrica. Além disso, observou-se ausência de dados precisos informados sobre a estrutura e os recursos de unidades de terapia intensiva. São necessárias mais opções de melhoria para alocar os recursos de unidades de terapia intensiva nos níveis institucional e regional.
Subject(s)
Intensive Care Units , Self-Assessment , Adult , Argentina , Child , Critical Care/methods , Humans , Intensive Care Units, Pediatric , Respiration, ArtificialABSTRACT
RESUMO Objetivo: Descrever e comparar a estrutura das unidades de terapia intensiva argentinas que responderam ao inquérito de autoavaliação de unidades de terapia intensiva desenvolvido pela Sociedad Argentina de Terapia Intensiva. Métodos: Foi realizado um estudo transversal observacional com uso de um inquérito voluntário online por meio do banco de dados de membros da Sociedad Argentina de Terapia Intensiva e outras publicações em mídias sociais. Foram analisadas as respostas recebidas entre dezembro de 2018 e julho de 2020. Foram utilizados testes não paramétricos e estatística descritiva. Resultados: Foram recebidos 392 inquéritos, sendo 244 considerados para a análise. Eram de unidades de terapia intensiva adulto 77% (187/244), e 23% (57/244) eram de unidades de terapia intensiva pediátrica. A taxa de participação foi de 76%. A amostra incluiu 2.567 leitos de unidades de terapia intensiva (1.981 adulto e 586 pediátrica). Observamos nítida concentração de unidades de terapia intensiva nas regiões Centro e Buenos Aires, Argentina. A mediana de leitos foi de dez (intervalo interquartil 7 - 15). A mediana de monitores multiparamétricos, ventiladores mecânicos e oxímetros de pulso foi de um por leito, sem diferenças regionais ou de tipo de unidade de terapia intensiva (adulto ou pediátrica). Embora nossa amostra tenha evidenciado que as unidades de terapia intensiva pediátrica apresentaram proporção de ventilação mecânica/leito maior do que as unidades de terapia intensiva adulto, esse achado não foi linearmente correlacionado. Conclusão: A Argentina tem concentração notável de leitos de cuidados intensivos e complexidade estrutural superior nas regiões de Buenos Aires e Centro, tanto de unidades de terapia intensiva adulto quanto pediátrica. Além disso, observou-se ausência de dados precisos informados sobre a estrutura e os recursos de unidades de terapia intensiva. São necessárias mais opções de melhoria para alocar os recursos de unidades de terapia intensiva nos níveis institucional e regional.
ABSTRACT Objective: To describe and compare the structure of Argentinean intensive care units that completed the "self-assessment survey of intensive care units" developed by the Sociedad Argentina de Terapia Intensiva. Methods: An observational crosssectional study was conducted using an online voluntary survey through the Sociedad Argentina de Terapia Intensiva member database and other social media postings. Answers received between December 2018 and July 2020 were analyzed. Descriptive statistics and nonparametric tests were used. Results: A total of 392 surveys were received, and 244 were considered for the analysis. Seventy-seven percent (187/244) belonged to adult intensive care units, and 23% (57/244) belonged to pediatric intensive care units. The overall completion rate was 76%. The sample included 2,567 ICU beds (adult: 1,981; pediatric: 586). We observed a clear concentration of intensive care units in the Central and Buenos Aires regions of Argentina. The median number of beds was 10 (interquartile range 7 - 15). The median numbers of multiparameter monitors, mechanical ventilators, and pulse oximeters were 1 per bed with no regional or intensive care unit type differences (adult versus pediatric). Although our sample showed that the pediatric intensive care units had a higher mechanical ventilation/bed ratio than the adult intensive care units, this finding was not linearly correlated. Conclusion: Argentina has a notable concentration of critical care beds and better structural complexity in the Buenos Aires and Centro regions for both adult and pediatric intensive care units. In addition, a lack of accurate data reported from the intensive care unit structure and resources was observed. Further improvement opportunities are required to allocate intensive care unit resources at the institutional and regional levels.
ABSTRACT
OBJECTIVES: Argentina is a low and middle-income country (LMIC) with a highly fragmented healthcare system that conflicts with access to healthcare stated by the country's Universal Health Coverage plan. A tele-mammography network could improve access to breast cancer screening decreasing its mortality. This research aims to conduct an economic evaluation of the implementation of a tele-mammography program to improve access to healthcare. METHODS: A cost-utility analysis was performed to explore the incremental benefit of annual tele-mammography screening for at-risk Argentinian women over 40 years old. A Markov model was developed to simulate annual mammography or tele-mammography screening in two hypothetical population-based cohorts of asymptomatic women. Parameter uncertainty was evaluated through deterministic and probabilistic sensitivity analysis. Model structure uncertainty was also explored to test the robustness of the results. RESULTS: It was estimated that 31 out of 100 new cases of breast cancer would be detected by mammography and 39/100 by tele-mammography. The model returned an incremental cost-effectiveness ratio (ICER) of £26 051/quality-adjusted life-year (QALY) which is lower than the WHO-recommended threshold of £26 288/QALY for Argentina. Deterministic sensitivity analysis showed the ICER is most sensitive to the uptake and sensitivity of the screening tests. Probabilistic sensitivity analysis showed tele-mammography is cost-effective in 59% of simulations. DISCUSSION: Tele-mammography should be considered for adoption as it could improve access to expertise in underserved areas where adherence to screening protocols is poor. Disaggregated data by province is needed for a better- informed policy decision. Telemedicine could also be beneficial in ensuring the continuity of care when health systems are under stress like in the current COVID-19 pandemic. CONCLUSION: There is a 59% chance that tele-mammography is cost-effective compared to mammography for at-risk Argentinian women over 40- years old, and should be adopted to improve access to healthcare in underserved areas of the country.
Subject(s)
Breast Neoplasms , Cost-Benefit Analysis/economics , Early Detection of Cancer/economics , Mammography/economics , Medical Informatics , Telemedicine , Adult , Argentina , Breast Neoplasms/diagnosis , Breast Neoplasms/economics , COVID-19 , Female , Health Services Accessibility , Humans , Middle Aged , Quality-Adjusted Life Years , Vulnerable PopulationsABSTRACT
This document aims to provide evidence-based recommendations to estimate the personal protective equipments (PPE), medical devices, and drugs commonly used in the Intensive Care Unit during the COVID-19 pandemic. A systematic literature review and gray literature assessment was performed, and the evidence was categorized using the GRADE methodology. Then a predictive model was built to support the estimation of resources needed during 30 days of the pandemic. In the development of these recommendations, 33 publications were included, with variable quality of evidence (low to very low quality). They refer to the use of PPE according to the risk of exposure; management and reuse of PPE, and the stock of drugs and medical devices needed for the care of patients with COVID-19. It is important to remark the difficult in estimating and managing the number of essential supplies and equipment required during a pandemic. The model allowed us to predict the resources required to provide critical care during 30 days of pandemic activity. Given the constant evolution of COVID-19, these recommendations might change as evidence evolves.
El presente documento tiene como fin proporcionar recomendaciones basadas en la evidencia para estimar los equipos de proteccion personal (EPP), los dispositivos médicos y los medicamentos comúnmente utilizados en la Unidad de Cuidados Intensivos durante la pandemia de COVID-19. Se llevó a cabo una revisión sistemática de la literatura y evaluación de la literatura gris. La evidencia se clasificó utilizando la metodología GRADE. Luego, se construyó un modelo predictivo para apoyar la estimación de recursos durante 30 días de la pandemia. En el desarrollo de estas recomendaciones se incluyeron 33 publicaciones con calidad de evidencia variable (calidad baja a muy baja), acerca del uso de EPP según el riesgo de exposición; manejo y re-uso de EPP, y las necesidades de fármacos y dispositivos médicos para la atención de pacientes con COVID-19. Es destacable lo difícil que resulta estimar y administrar la cantidad de suministros y equipos esenciales necesarios durante una pandemia. El modelo nos permitió predecir los recursos necesarios para proporcionar cuidados críticos durante 30 días de actividad pandémica. Dada la evolución constante de COVID-19, estas recomendaciones pueden cambiar a medida que evolucione la evidencia.
Subject(s)
Coronavirus , Health Care Rationing/methods , Intensive Care Units/economics , Personal Protective Equipment/supply & distribution , Resource Allocation/organization & administration , Betacoronavirus , COVID-19 , Coronavirus Infections/epidemiology , Humans , Intensive Care Units/organization & administration , Pandemics , Pneumonia, Viral/epidemiology , SARS-CoV-2ABSTRACT
El presente documento tiene como fin proporcionar recomendaciones basadas en la evidencia para estimar los equipos de proteccion personal (EPP), los dispositivos médicos y los medicamentos comúnmente utilizados en la Unidad de Cuidados Intensivos durante la pandemia de COVID-19. Se llevó a cabo una revisión sistemática de la literatura y evaluación de la literatura gris. La evidencia se clasificó utilizando la metodología GRADE. Luego, se construyó un modelo predictivo para apoyar la estimación de recursos durante 30 días de la pandemia. En el desarrollo de estas recomendaciones se incluyeron 33 publicaciones con calidad de evidencia variable (calidad baja a muy baja), acerca del uso de EPP según el riesgo de exposición; manejo y re-uso de EPP, y las necesidades de fármacos y dispositivos médicos para la atención de pacientes con COVID-19. Es destacable lo difícil que resulta estimar y administrar la cantidad de suministros y equipos esenciales necesarios durante una pandemia. El modelo nos permitió predecir los recursos necesarios para proporcionar cuidados críticos durante 30 días de actividad pandémica. Dada la evolución constante de COVID-19, estas recomendaciones pueden cambiar a medida que evolucione la evidencia.
This document aims to provide evidence-based recommendations to estimate the personal protective equipments (PPE), medical devices, and drugs commonly used in the Intensive Care Unit during the COVID-19 pandemic. A systematic literature review and gray literature assessment was performed, and the evidence was categorized using the GRADE methodology. Then a predictive model was built to support the estimation of resources needed during 30 days of the pandemic. In the development of these recommendations, 33 publications were included, with variable quality of evidence (low to very low quality). They refer to the use of PPE according to the risk of exposure; management and reuse of PPE, and the stock of drugs and medical devices needed for the care of patients with COVID-19. It is important to remark the difficult in estimating and managing the number of essential supplies and equipment required during a pandemic. The model allowed us to predict the resources required to provide critical care during 30 days of pandemic activity. Given the constant evolution of COVID-19, these recommendations might change as evidence evolves.
Subject(s)
Humans , Health Care Rationing/methods , Coronavirus , Resource Allocation/organization & administration , Personal Protective Equipment/supply & distribution , Intensive Care Units/economics , Pneumonia, Viral/epidemiology , Coronavirus Infections/epidemiology , Pandemics , Betacoronavirus , SARS-CoV-2 , COVID-19 , Intensive Care Units/organization & administrationABSTRACT
OBJECTIVES: To describe and compare the requirements for medical devices licensing and reimbursement in four Latin-American countries. METHODS: We conducted a literature search in major databases, and generic Internet engines, and interviewed key informants. RESULTS: We included all publications describing regulation and/or coverage and enriched them with key informant's interviews. We found that licensing processes are similar. The decision-making process for coverage is not formally different than the one used for drugs. Although countries differ, Brazil, Colombia and Mexico have an explicit process informed by Health Technology Assessment. In general, coverage policies are defined for procedures and don´t specify device brand or model, and for that reason they may reimburse without explicit one by one device evaluation. CONCLUSIONS: The process for licensing and reimbursement is broadly similar but less stringent than that for drugs. It allows the adoption of medical devices without individual comprehensive assessment.