Last data update: May 06, 2024. (Total: 46732 publications since 2009)
Records 1-4 (of 4 Records) |
Query Trace: Athar HM[original query] |
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Patient flow time data of COVID-19 vaccination clinics in 23 sites, United States, April and May 2021.
Cho BH , Athar HM , Bates LG , Yarnoff BO , Harris LQ , Washington ML , Jones-Jack NH , Pike JJ . Vaccine 2022 41 (3) 750-755 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. |
Assessment of the Costs of Implementing COVID-19 Vaccination Clinics in 34 Sites, United States, March 2021.
Yarnoff BO , Pike JJ , Athar HM , Bates LG , Tayebali ZA , Harris LQ , Jones-Jack NH , Washington ML , Cho BH . J Public Health Manag Pract 2022 28 (6) 624-630 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. |
Trends in disparity by sex and race/ethnicity for the leading causes of death in the United States - 1999-2010
Chang MH , Moonesinghe R , Athar HM , Truman BI . J Public Health Manag Pract 2015 22 Suppl 1 S13-24 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. |
Unemployment - United States, 2006 and 2010
Athar HM , Chang MH , Hahn RA , Walker E , Yoon P . MMWR Suppl 2013 62 (3) 27-32 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. |
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