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1.
Vaccine ; 40(30): 4008-4016, 2022 06 26.
Article in English | MEDLINE | ID: covidwho-1829617

ABSTRACT

BACKGROUND: Vaccination provides significant health gains to individuals and society and can potentially improve health equity, healthcare systems and national economies. Policy decisions, however, are rarely informed by comprehensive economic evaluations (EE) including vaccination's wide-ranging value. The objective of this analysis was to focus on health technology assessment systems to identify relevant value concepts in order to improve current EE of non-pandemic vaccines. METHODS: Following a literature review, a novel Value of Vaccination (VoV) framework was developed with experts in vaccine EE from developed countries with established health technology assessment systems. RESULTS: Forty-four studies presenting value frameworks or concepts applicable to vaccination were included. Eighteen unique value concepts relevant to EE were identified and defined. These were categorised within the VoV framework using three dimensions, moving from a narrow payer perspective to a more expansive and societal perspective. The dimensions were: (I) conventional payer perspective concepts (e.g., health gains in vaccinees, direct medical costs); (II) conventional societal perspective concepts (e.g., indirect health/economic gains to caregivers/households, productivity in vaccinees); and (III) novel societal concepts (e.g., financial risk protection, peace of mind, societal health gains, healthcare systems security, political stability, social equity and macroeconomic gains). While good quality evidence and methods are available to support concepts in Dimensions I and II, further work is needed to generate the required evidence for vaccination impact on Dimension III concepts. CONCLUSIONS: The devastating effect on nations of the COVID-19 pandemic has helped to highlight the potential far-reaching benefits that many vaccination programmes can offer. This VoV framework is particularly relevant to policy decisions considering EE, and the potential future expansion of non-pandemic vaccination value considerations. The framework helps to understand and compare current value considerations across countries and payer versus societal perspectives. It provides decision-makers with a transparent and logical path to broaden consideration of VoV in EE.


Subject(s)
COVID-19 , Vaccines , COVID-19/prevention & control , Cost-Benefit Analysis , Humans , Pandemics/prevention & control , Technology Assessment, Biomedical , Vaccination
2.
Vaccine ; 40(30): 3999-4007, 2022 06 26.
Article in English | MEDLINE | ID: covidwho-1900239

ABSTRACT

BACKGROUND: A value of vaccination framework for economic evaluation (EE) identified unique value concepts for the broad benefits vaccination provides to individuals, society, healthcare systems and national economies. The objectives of this paper were to work with experts in developed countries to objectively identify three priority concepts to extend current EE. METHODS: The previously developed classification of value concepts in vaccination distinguished 18 concepts, categorised as conventional payer and societal perspective concepts and novel broader societal concepts. Their inclusion in current EE guidelines was assessed. Experts identified eight criteria relevant to decision-making and measurement feasibility, which were weighted and used to score each concept. The relative ranking of concepts by importance and the gaps in guidelines were used to identify three priority concepts on which to focus immediate efforts to extend EE. RESULTS: The EE guidelines review highlighted differences across countries and between guidelines and practice. Conventional payer perspective concepts (e.g., individual and societal health gains and medical costs) were generally included, while gaps were evident for conventional societal perspective concepts (e.g., family/caregiver health and economic gains). Few novel broader societal benefits were considered, and only in ad hoc cases. The top-three concepts for near-term consideration: macroeconomic gains (e.g., benefiting the economy, tourism), social equity and ethics (e.g., equal distribution of health outcomes, reduced health/financial equity gaps) and health systems strengthening, resilience and security (e.g., efficiency gains, reduced disruption, increased capacity). CONCLUSIONS: Gaps, inconsistencies and limited assessment of vaccination value in EE can lead to differences in policy and vaccination access. The three priority concepts identified provide a feasible approach for capturing VoV more broadly in the near-term. Robust methods for measuring and valuing these concepts in future assessments will help strengthen the evidence used to inform decisions, improving access to vaccines that are demonstrably good value for money from society's point of view.


Subject(s)
Technology Assessment, Biomedical , Vaccines , Cost-Benefit Analysis , Economics, Medical , Humans , Vaccination
3.
Int J Environ Res Public Health ; 19(4)2022 Feb 16.
Article in English | MEDLINE | ID: covidwho-1703778

ABSTRACT

(1) Background: Burnout syndrome (BOS) is defined as a psychological state of physical and mental fatigue associated with work. The COVID-19 pandemic greatly impacted the physical and mental wellbeing of health professionals. The objective of this work was to determine the impact on personnel, monitoring the frequency of BOS throughout the pandemic. (2) Methods: The Maslach Burnout Inventory (MBI) was self-applied in four periods of the pandemic according to sociodemographic and employment characteristics. In this study, all hospital personnel were included; the association of BOS with sex, age, type of participant (civilian or military), military rank and profession was analyzed. (3) Results: The frequency of BOS was 2.4% (start of the pandemic), 7.9% (peak of the first wave), 3.7% (end of the first wave) and 3.6% (peak of the third wave). Emotional exhaustion (EE) was the most affected factor, and the groups most affected were men under 30 years of age, civilians, chiefs and doctors, especially undergraduate medical doctors and specialty resident doctors, and nursing personnel were less affected. (4) Conclusions: The low BOS levels show that the containment measures and military training implemented by the hospital authorities were effective, although the chief personnel were more affected in the first wave. It is probable that this combination allowed the containment of BOS, which was not observed in civilians.


Subject(s)
Burnout, Professional , COVID-19 , Military Personnel , Burnout, Professional/epidemiology , Burnout, Professional/psychology , Burnout, Psychological , COVID-19/epidemiology , Humans , Male , Pandemics , Personnel, Hospital , SARS-CoV-2 , Surveys and Questionnaires , Tertiary Care Centers
4.
Gac Med Mex ; 157(3): 237-244, 2021.
Article in English | MEDLINE | ID: covidwho-1535079

ABSTRACT

INTRODUCTION: COVID-19, caused by the betacoronavirus SARS-CoV-2, has overwhelmed the world's health systems. OBJECTIVE: To describe the epidemiological characteristics of patients treated in a tertiary care hospital. METHODS: A retrospective cohort study of patients diagnosed with or suspected of having COVID-19 from March 23 to July 31, 2020 was conducted. RESULTS: 4,401 patients were hospitalized at Central Military Hospital, out of which 35 % were beneficiaries, 26 % civilians, 28 % active military personnel, and only 11 %, retired military personnel. Male gender predominated, both in hospitalized patients and in those who died, as well as the O+ group and absence of comorbidities; among the observed comorbidities, the main ones were overweight and diabetes. Hospitalized patients' median age was 49 years, while median age of those who died was 62 years; women older than 51 years had a higher risk of dying. Adjusted case fatality rate was 18.5 %; 50 % died within the first six days. CONCLUSIONS: In this study, the epidemiological characteristics and main comorbidities in Mexican patients with SARS-CoV-2 infection were identified.


INTRODUCCIÓN: COVID-19, causada por el betacoronavirus SARS-CoV-2, ha saturado los sistemas de salud del mundo. OBJETIVO: Describir las características epidemiológicas de los pacientes atendidos en un hospital de tercer nivel. MÉTODOS: Se realizó una cohorte retrospectiva de pacientes con diagnóstico o sospecha de COVID-19, del 23 de marzo al 31 de julio de 2020. RESULTADOS: En el Hospital Central Militar se hospitalizaron 4401 pacientes, 35 % derechohabientes, 26 % civiles, 28 % militares en activo y solo 11 %, militares retirados. Predominó el sexo masculino, tanto en los pacientes hospitalizados como en los que fallecieron, el grupo O+ y la ausencia de comorbilidades; entre las comorbilidades que se observaron, las principales fueron el sobrepeso y la diabetes. La mediana de edad de los pacientes hospitalizados fue de 49 años, mientras que 62 años fue la edad de quienes fallecieron; las mujeres mayores de 51 años tuvieron mayor riesgo de fallecer. La tasa de letalidad ajustada fue de 18.5 %; 50 % falleció durante los primeros seis días. CONCLUSIONES: En este estudio se lograron identificar las características epidemiológicas y se destacaron las principales comorbilidades en pacientes mexicanos con infección por SARS-CoV-2.


Subject(s)
COVID-19/epidemiology , Diabetes Mellitus/epidemiology , Hospitalization/statistics & numerical data , Overweight/epidemiology , Adult , Age Factors , Aged , Aged, 80 and over , COVID-19/mortality , Cohort Studies , Female , Humans , Male , Mexico/epidemiology , Middle Aged , Retrospective Studies , Risk Factors , Sex Factors , Tertiary Care Centers , Young Adult
5.
Pharm Pract (Granada) ; 19(2): 2346, 2021.
Article in English | MEDLINE | ID: covidwho-1296289

ABSTRACT

BACKGROUND: In the field of health, the year 2020 will be remembered for testing (stressing) all health institutions and their forms of management (centralised and decentralised). The everyday activity of primary and hospital care was significantly altered by the introduction of telephone consultations, which reduce the number of visits to health centres or hospitals and are still relevant today in the face of successive waves of the pandemic. OBJECTIVE: To analyse whether population confinement due to the COVID-19 pandemic had an impact on the dispensing of medications in community pharmacies and the associated spending during the period March-July 2020 in Andalusia (Spain). METHODS: A time series analysis applying econometric model analysis techniques to confirm or rule out whether the lockdown caused by the COVID-19 pandemic had an impact on the dispensing of medications by community pharmacies and the associated expenditures. The variables used were the number of medication containers dispensed by community pharmacies (charged to the public funds of the Spanish National Health System) and the expenditure on prescription drugs, both in relation to the population. The analysis was performed within the region of Andalusia, which has 8,464,441 inhabitants. RESULTS: The data obtained from the time series confirmed that there were no significant differences during the studied period between the number of medication containers actually dispensed and the number that would have been expected to be dispensed according to the trend in this variable for the sample period. The expenditure results followed the same pattern. CONCLUSIONS: The health crisis produced by the COVID-19 lockdown had no impact on medication consumption in Andalusia.

6.
Gac Med Mex ; 157(2): 174-180, 2021.
Article in English | MEDLINE | ID: covidwho-1285646

ABSTRACT

INTRODUCTION: Whether there is an influence of the ABO blood system on SARS-CoV-2 infection is unknown. OBJECTIVE: To analyze if there is an association between the ABO system antigens and susceptibility to and severity of SARS-CoV-2 infection. MATERIAL AND METHODS: The frequency of ABO system antigens was compared in 73 confirmed cases of SARS-CoV-2 infection and 52 clinically healthy donors. Infection severity was assessed by comparing the frequency of antigens by disease severity and mortality. RESULTS: The risk of suffering from SARS-CoV-2 infection increases in subjects with A vs. non-A antigen (OR = 1.45; 95 % CI: 1.061-1.921). Blood phenotype O reduces the risk of SARS-CoV-2 infection (OR = 0.686; 95 % CI: 0.522-0.903). No differences were found regarding disease severity. In critically ill patients, the risk of mortality increased in subjects with A vs. non-A antigen (OR = 3.34; 95 % CI: 1.417-8.159). CONCLUSION: Blood group A is a risk factor for SARS-CoV-2 infection, but not for disease severity, although in critically ill patients it is a risk factor for mortality.


INTRODUCCIÓN: Se desconoce si existe una influencia del sistema sanguíneo ABO en susceptibilidad y gravedad de la enfermedad. OBJETIVO: Analizar si existe una asociación entre los antígenos del sistema ABO y la susceptibilidad y gravedad de la infección por SARS-CoV-2. MATERIAL Y MÉTODOS: Se compararon las frecuencias de los antígenos del sistema ABO en 73 casos confirmados de infección por SARS-CoV-2 y 52 donadores clínicamente sanos. La gravedad de la infección se evaluó comparando la frecuencia de los antígenos por gravedad de la enfermedad y la mortalidad. RESULTADOS: El riesgo de padecer infección por SARS-CoV-2 se incrementa en sujetos con antígeno A vs los no-A (OR=1.45; IC95 %:1.061-1.921). El fenotipo sanguíneo O disminuye el riesgo de padecer infección por SARS-CoV-2 (OR=0.686; IC95 %: 0.522-0.903). No se encontraron diferencias entre la gravedad de la enfermedad. En los pacientes graves, el riesgo de mortalidad se incrementó en sujetos con antígeno A vs los no-A (OR= 3.34; IC95 %: 1.417-8.159). CONCLUSIÓN: El grupo sanguíneo A es un factor de riesgo para padecer infección por SARS-CoV-2, no así en la gravedad de la enfermedad, pero en los pacientes graves fue un factor de riesgo para la mortalidad.


Subject(s)
ABO Blood-Group System/immunology , COVID-19/immunology , Severity of Illness Index , ABO Blood-Group System/adverse effects , Adult , Aged , COVID-19/blood , COVID-19/epidemiology , COVID-19/mortality , Case-Control Studies , Confidence Intervals , Critical Illness , Disease Susceptibility/blood , Disease Susceptibility/immunology , Female , Humans , Male , Middle Aged , Odds Ratio , Risk Factors , Young Adult
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