Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 6 de 6
Filtrar
Mais filtros










Base de dados
Intervalo de ano de publicação
1.
Vaccine ; 41(3): 750-755, 2023 01 16.
Artigo em Inglês | MEDLINE | ID: mdl-36526502

RESUMO

INTRODUCTION: Public health department (PHD) led COVID-19 vaccination clinics can be a critical component of pandemic response as they facilitate high volume of vaccination. However, few patient-time analyses examining patient throughput at mass vaccination clinics with unique COVID-19 vaccination challenges have been published. METHODS: During April and May of 2021, 521 patients in 23 COVID-19 vaccination sites counties of 6 states were followed to measure the time spent from entry to vaccination. The total time was summarized and tabulated by clinic characteristics. A multivariate linear regression analysis was conducted to evaluate the association between vaccination clinic settings and patient waiting times in the clinic. RESULTS: The average time a patient spent in the clinic from entry to vaccination was 9 min 5 s (range: 02:00-23:39). Longer patient flow times were observed in clinics with higher numbers of doses administered, 6 or fewer vaccinators, walk-in patients accepted, dedicated services for people with disabilities, and drive-through clinics. The multivariate linear regression showed that longer patient waiting times were significantly associated with the number of vaccine doses administered, dedicated services for people with disabilities, the availability of more than one brand of vaccine, and rurality. CONCLUSIONS: Given the standardized procedures outlined by immunization guidelines, reducing the wait time is critical in lowering the patient flow time by relieving the bottleneck effect in the clinic. Our study suggests enhancing the efficiency of PHD-led vaccination clinics by preparing vaccinators to provide vaccines with proper and timely support such as training or delivering necessary supplies and paperwork to the vaccinators. In addition, patient wait time can be spent answering questions about vaccination or reviewing educational materials on other public health services.


Assuntos
COVID-19 , Vacinas , Humanos , Estados Unidos , Vacinas contra COVID-19 , COVID-19/prevenção & controle , Vacinação , Vacinação em Massa
2.
J Public Health Manag Pract ; 28(6): 624-630, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36037518

RESUMO

OBJECTIVES: To estimate the costs to implement public health department (PHD)-run COVID-19 vaccination clinics. DESIGN: Retrospectively reported data on COVID-19 vaccination clinic characteristics and resources used during a high-demand day in March 2021. These resources were combined with national average wages, supply costs, and facility costs to estimate the operational cost and start-up cost of clinics. SETTING: Thirty-four PHD-run COVID-19 vaccination clinics across 8 states and 1 metropolitan statistical area. PARTICIPANTS: Clinic managers at 34 PHD-run COVID-19 vaccination clinics. INTERVENTION: Large-scale COVID-19 vaccination clinics were implemented by public health agencies as part of the pandemic response. MAIN OUTCOMES MEASURED: Operational cost per day, operational cost per vaccination, start-up cost per clinic. RESULTS: Median operational cost per day for a clinic was $10 314 (range, $637-$95 163) and median cost per vaccination was $38 (range, $9-$206). There was a large range of operational costs across clinics. Clinics used an average of 99 total staff hours per 100 patients vaccinated. Median start-up cost per clinic was $15 348 (range, $1 409-$165 190). CONCLUSIONS: Results show that clinics require a large range of resources to meet the high throughput needs of the COVID-19 pandemic response. Estimating the costs of PHD-run vaccination clinics for the pandemic response is essential for ensuring that resources are available for clinic success. If clinics are not adequately supported, they may stop functioning, which would slow the pandemic response if no other setting or approach is possible.


Assuntos
Vacinas contra COVID-19 , COVID-19 , COVID-19/epidemiologia , COVID-19/prevenção & controle , Vacinas contra COVID-19/uso terapêutico , Humanos , Pandemias , Estudos Retrospectivos , Estados Unidos/epidemiologia , Vacinação
3.
J Public Health Manag Pract ; 22 Suppl 1: S13-24, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-25946701

RESUMO

CONTEXT: Temporal trends in disparities in the leading causes of death within and between US demographic subgroups indicate the need for and success of interventions to prevent premature death in vulnerable populations. Studies that report recent trends are limited and outdated. OBJECTIVE: To describe temporal trends in disparities in death rates by sex and race/ethnicity for the 10 leading causes of death in the United States during 1999-2010. DESIGN: We used underlying cause of death data and population estimates from the National Vital Statistics System to calculate age-adjusted death rates for the 10 leading causes of death during 1999-2010. We measured absolute and relative disparities by sex and race/ethnicity for each cause and year of death; we used weighted linear regression to test for significance of trends over time. RESULTS: Of the 10 leading causes of death, age-adjusted death rates by sex and race/ethnicity declined during 1999-2010 for 6 causes and increased for 4 causes. But sex and racial/ethnic disparities between groups persisted for each year and cause of death. In the US population, the decreasing trend during 1999-2010 was greatest for cerebrovascular disease (-36.5%) and the increasing trend was greatest for Alzheimer disease (52.4%). For each sex and year, the disparity in death rates between Asian/Pacific Islanders (API) and other groups varied significantly by cause of death. In 2010, the API-non-Hispanic black disparity was largest for heart disease, malignant neoplasms, cerebrovascular diseases, and nephritis; the API-American Indian/Alaska Native disparity was largest for unintentional injury, diabetes mellitus, influenza and pneumonia, and suicide; and the API-non-Hispanic white disparity was largest for chronic lower respiratory diseases and Alzheimer disease. CONCLUSIONS: Public health practitioners can use these findings to improve policies and practices and to evaluate progress in eliminating disparities and their social determinants in vulnerable populations.


Assuntos
Fatores Etários , Causas de Morte/tendências , Grupos Raciais/estatística & dados numéricos , Acidentes/mortalidade , Negro ou Afro-Americano/estatística & dados numéricos , Idoso , Idoso de 80 Anos ou mais , Doença de Alzheimer/etnologia , Doença de Alzheimer/mortalidade , Transtornos Cerebrovasculares/etnologia , Transtornos Cerebrovasculares/mortalidade , Diabetes Mellitus/etnologia , Diabetes Mellitus/mortalidade , Feminino , Cardiopatias/etnologia , Cardiopatias/mortalidade , Hispânico ou Latino/estatística & dados numéricos , Humanos , Influenza Humana/etnologia , Influenza Humana/mortalidade , Masculino , Pessoa de Meia-Idade , Neoplasias/etnologia , Neoplasias/mortalidade , Nefrite/etnologia , Nefrite/mortalidade , Grupos Raciais/etnologia , Sepse/etnologia , Sepse/mortalidade , Suicídio/etnologia , Suicídio/estatística & dados numéricos , Estados Unidos/epidemiologia , Estados Unidos/etnologia , População Branca/estatística & dados numéricos
4.
J Public Health Manag Pract ; 22(1): 40-7, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-26131658

RESUMO

Prevalence of smoking is particularly high among individuals with low socioeconomic status and who may be receiving Medicaid benefits. This study evaluates the public health and economic impact of providing coverage for nicotine replacement therapy with no out-of-pocket cost to the adult Medicaid population in Alabama, Georgia, and Maine, in 2012. We estimated the increase in the number of quitters and the savings in Medicaid medical expenditures associated with expanding Medicaid coverage of nicotine replacement therapy to the entire adult Medicaid population in the 3 states. With an expansion of Medicaid coverage of nicotine replacement therapy from only pregnant women to all adult Medicaid enrollees, the state of Alabama might expect 1873 to 2810 additional quitters ($526,203 and $789,305 in savings of annual Medicaid expenditures from both federal and state funds), Georgia 2911 to 4367 additional quits ($1,455,606 and $2,183,409 savings), and Maine 1511 to 2267 additional quits in ($431,709 and $647,564 savings). The expansion of coverage for smoking cessation therapy with no out-of-pocket cost could reduce Medicaid expenditures in all 3 states.


Assuntos
Financiamento Pessoal/economia , Cobertura do Seguro/economia , Medicaid , Abandono do Hábito de Fumar/economia , Alabama/epidemiologia , Georgia/epidemiologia , Humanos , Maine/epidemiologia , Medicaid/estatística & dados numéricos , Fumar/epidemiologia , Estados Unidos/epidemiologia
5.
J Public Health (Oxf) ; 37(3): 470-9, 2015 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-25174043

RESUMO

BACKGROUND: Healthy life expectancy (HLE) varies among demographic segments of the US population and by geography. To quantify that variation, we estimated the national and regional HLE for the US population by sex, race/ethnicity and geographic region in 2008. METHODS: National HLEs were calculated using the published 2008 life table and the self-reported health status data from the National Health Interview Survey (NHIS). Regional HLEs were calculated using the combined 2007-09 mortality, population and NHIS health status data. RESULTS: In 2008, HLE in the USA varied significantly by sex, race/ethnicity and geographical regions. At 25 years of age, HLE for females was 47.3 years and ∼2.9 years greater than that for males at 44.4 years. HLE for non-Hispanic white adults was 2.6 years greater than that for Hispanic adults and 7.8 years greater than that for non-Hispanic black adults. By region, the Northeast had the longest HLE and the South had the shortest. CONCLUSIONS: The HLE estimates in this report can be used to monitor trends in the health of populations, compare estimates across populations and identify health inequalities that require attention.


Assuntos
Etnicidade/estatística & dados numéricos , Expectativa de Vida , Grupos Raciais/estatística & dados numéricos , Adolescente , Adulto , Negro ou Afro-Americano/estatística & dados numéricos , Idoso , Idoso de 80 Anos ou mais , Criança , Pré-Escolar , Feminino , Nível de Saúde , Disparidades nos Níveis de Saúde , Inquéritos Epidemiológicos , Hispânico ou Latino/estatística & dados numéricos , Humanos , Lactente , Masculino , Pessoa de Meia-Idade , Mortalidade , Fatores Sexuais , Estados Unidos/epidemiologia , População Branca/estatística & dados numéricos , Adulto Jovem
6.
MMWR Suppl ; 62(3): 27-32, 2013 Nov 22.
Artigo em Inglês | MEDLINE | ID: mdl-24264486

RESUMO

The association between unemployment and poor physical and mental health is well established. Unemployed persons tend to have higher annual illness rates, lack health insurance and access to health care, and have an increased risk for death. Several studies indicate that employment status influences a person's health; however, poor health also affects a person's ability to obtain and retain employment. Poor health predisposes persons to a more uncertain position in the labor market and increases the risk for unemployment.


Assuntos
Disparidades nos Níveis de Saúde , Desemprego/estatística & dados numéricos , Adolescente , Adulto , Sistema de Vigilância de Fator de Risco Comportamental , Autoavaliação Diagnóstica , Etnicidade/estatística & dados numéricos , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Grupos Raciais/estatística & dados numéricos , Estados Unidos , Adulto Jovem
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...