scholarly journals Modeling the Population Health Impact of ENDS in the U.S.

2021 ◽  
Vol 45 (3) ◽  
pp. 588-610
Author(s):  
Rasmus Wissmann ◽  
Changhua Zhan ◽  
Kenneth D'Amica ◽  
Shivaani Prakash ◽  
Yingying Xu

Objectives: Our objective was to improve understanding of the population health impact of electronic nicotine delivery systems (ENDS) availability in the US via computational modeling. Methods: We present an agent-based population health model (PHM) that simulates annual smoking, ENDS use, and associated mortality for individual agents representing the US population, both adults and youth, between 2000 and 2100. Model transitions were derived from key population surveys and a large longitudinal study of JUUL purchasers. The mortality impact of ENDS is modeled as excess risk relative to smoking. Outcomes are compared between a cigarettes-only Base Case and a Modified Case where ENDS are introduced in 2010. Model validation demonstrates that the PHM simulates population-level behavior and outcomes realistically. Results: The availability of ENDS in the US is projected to reduce smoking and prevent 2.5 million premature deaths by 2100 in the Modified Case. Sensitivity analyses show that a significant population health benefit occurs under all plausible scenarios. Conclusions: Our results suggest the availability of ENDS is likely to result in a significant health benefit to the US population as a whole, after accounting for both beneficial and harmful uses.

2021 ◽  
Author(s):  
Peter N Lee ◽  
John S Fry ◽  
Tryggve Ljung

Abstract BackgroundFor smokers not intending to quit, switching to a reduced-risk nicotine product should be healthier than continuing smoking. We estimate the health impact, over the period 2000-2050, of introducing into the US the nicotine pouch ZYN. ZYN’s toxicant profile and method of use is like that for Swedish snus, a product with known health effects much less than smoking. MethodsOur modelling approach is similar to others developed for estimating potential effects of new tobacco products. It starts with a simulated cohort of 100,000 individuals in the year 2000 subdivided by age, sex, and smoking status (including years since quitting). They are followed annually accounting for births, net immigrations, deaths and product use changes, with follow-up carried out in the Base Case (ZYN not introduced) and Modified Case (ZYN introduced). Using informed assumptions about initiation, quitting and switching rates, distributions of the population over time are then constructed for each Case, which are used to estimate product-related mortality based on assumptions about the relative risk according to product use. ResultsWhereas in both Base and Modified Cases, the prevalence of any current product use is predicted to decline from about 22% to 10% during follow-up, in the Modified Case about 25% of current users use ZYN by 2050, about a quarter being dual users and the rest ZYN-only users. Over the 50 years, deaths at ages 35-84 from product use among the 100,000 are estimated as 249 less in the Modified than the Base Case, equivalent to about 700,000 less deaths in the whole US. Sensitivity analyses varying individual parameter values confirm the benefits of switching to ZYN, which increase as either the switching rate to ZYN increases or the initiation rate of ZYN relative to smoking increases. Even assuming the reduction in excess mortality risk using ZYN use is 20% of that from smoking rather than the 3.5% assumed in the main analyses, the reduction in product-related deaths would still be 213, or about 600,000 in the US. ConclusionsAlthough such model-based estimates are subject to uncertainties, the results suggest that introducing ZYN could substantially reduce smoking-attributable deaths.


Author(s):  
Raheema Muhammad-Kah ◽  
Yezdi Pithawalla ◽  
Edward Boone ◽  
Lai Wei ◽  
Michael Jones ◽  
...  

Computational models are valuable tools for predicting the population effects prior to Food and Drug Administration (FDA) authorization of a modified risk claim on a tobacco product. We have developed and validated a population model using best modeling practices. Our model consists of a Markov compartmental model based on cohorts starting at a defined age and followed up to a specific age accounting for 29 tobacco-use states based on a cohort members transition pathway. The Markov model is coupled with statistical mortality models and excess relative risk ratio estimates to determine survival probabilities from use of smokeless tobacco. Our model estimates the difference in premature deaths prevented by comparing Base Case (“world-as-is”) and Modified Case (the most likely outcome given that a modified risk claim is authorized) scenarios. Nationally representative transition probabilities were used for the Base Case. Probabilities of key transitions for the Modified Case were estimated based on a behavioral intentions study in users and nonusers. Our model predicts an estimated 93,000 premature deaths would be avoided over a 60-year period upon authorization of a modified risk claim. Our sensitivity analyses using various reasonable ranges of input parameters do not indicate any scenario under which the net benefit could be offset entirely.


2021 ◽  
Author(s):  
Sarah Cuschieri ◽  
Neville Calleja ◽  
Brecht Devleesschauwer ◽  
Grant Mark Andrew Wyper

BackgroundDisability-adjusted life years (DALYs) combine the impact of morbidity and mortality, allowing for comprehensive comparisons of the population health impact of diseases, injuries, and risk factors. The aim of this paper was to estimate the DALYs due to Covid-19 in Malta (March 2020-21) and investigate its impact in relation to other causes of disease and injury, at a population level. MethodsMortality and weekly hospital admission reported data were used to calculate the DALYs, based on the European Burden of Disease Network consensus Covid-19 model. Covid-19 infection durations of 14 days was considered. Sensitivity analyses for different morbidity scenarios, including post-acute consequences were presented. Estimates were for March 2020-21.ResultsAn estimated 70,421 people were infected (with and without symptoms) by Covid-19 in Malta (March 2020-21), out of which 1,636 required hospitalisation and 331 deaths, contributing to 5,478 DALYs. These DALYs positioned Covid-19 as the fourth leading cause of disease and injury in Malta. Mortality contributed to 95% of DALYs, while post-acute consequences contributed to 60% of morbidity. ConclusionCovid-19 over a period of one year has impacted substantially the population health in Malta. Post-acute consequences are the leading morbidity factors that require urgent targeted action to ensure timely multidisciplinary care. It is recommended that DALY estimations in 2021 and beyond are calculated to assess the impact of vaccine roll-out and emergence of new variants on population health.


2021 ◽  
Author(s):  
Santiago Romero-Brufau ◽  
Ayush Chopra ◽  
Alex J Ryu ◽  
Esma Gel ◽  
Ramesh Raskar ◽  
...  

AbstractObjectivesTo estimate population health outcomes under delayedsecond dose versus standard schedule SARS-CoV-2 mRNA vaccination.DesignAgent-based modeling on a simulated population of 100,000 based on a real-world US county. The simulation runs were replicated 10 times. To test the robustness of these findings, simulations were performed under different estimates for single-dose efficacy and vaccine administration rates, and under the possibility that a vaccine prevents only symptoms but not asymptomatic spread.Settingpopulation level simulation.Participants100,000 agents are included in the simulation, with a representative distribution of demographics and occupations. Networks of contacts are established to simulate potentially infectious interactions though occupation, household, and random interactionsInterventionswe simulate standard Covid-19 vaccination, versus delayed-second-dose vaccination prioritizing first dose. Sensitivity analyses include first-dose vaccine efficacy of 70%, 80% and 90% after day 12 post-vaccination; vaccination rate of 0.1%, 0.3%, and 1% of population per day; assuming the vaccine prevents only symptoms but not asymptomatic spread; and an alternative vaccination strategy that implements delayed-second-dose only for those under 65 years of age.Main outcome measurescumulative Covid-19 mortality over 180 days, cumulative infections and hospitalizations.ResultsOver all simulation replications, the median cumulative mortality per 100,000 for standard versus delayed second dose was 226 vs 179; 233 vs 207; and 235 vs 236; for 90%, 80% and 70% first-dose efficacy, respectively. The delayed-second-dose strategy was optimal for vaccine efficacies at or above 80%, and vaccination rates at or below 0.3% population per day, both under sterilizing and non-sterilizing vaccine assumptions, resulting in absolute cumulative mortality reductions between 26 and 47 per 100,000. The delayed-second-dose for those under 65 performed consistently well under all vaccination rates tested.ConclusionsA delayed-second-dose vaccination strategy, at least for those under 65, could result in reduced cumulative mortality under certain conditions.


Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Xiao Wu ◽  
Dheeraj Gandhi ◽  
Charles C Matouk ◽  
Joseph Schindler ◽  
Danny Hughes ◽  
...  

Abstract INTRODUCTION The degree of successful reperfusion of large vessel occlusions (LVO) in patients with acute ischemic stroke (AIS) treated by mechanical thrombectomy (MT) is one of the critical and potentially modifiable determinants of clinical outcome. Differences in outcomes between patients with TICI 2b vs TICI 3 reperfusion have recently been highlighted. This study examines the public health and cost implications of achieving TICI 2b vs TICI 3 reperfusion. METHODS A decision-analytic study was performed to estimate the lifetime quality-adjusted life years (QALY) and associated costs based on the degree of reperfusion achieved. The base case calculations and multiple one-way sensitivity analyses were performed for AIS patients with LVO undergoing MT in 3 age groups: 55, 65, and 75 yr old, respectively. RESULTS Within 90 d, achieving TICI 3 results in a cost-saving of $5,258 per patient and health benefit of 7.3 d in perfect health as compared to TICI 2b. In the long-term, for the 3 ages groups (55, 65, and 75 yr old), achieving TICI 3 results in cost savings of $82,965, $51,155, and $31,034 respectively, and health benefits of 2.42 QALYs, 1.92 QALYs, and 1.36 QALYs. Every 1% increase in TICI 3 in 55-yr-old patients at a nation-wide level results in a cost saving of nearly $6.1 million and a health benefit of 176 QALYs. Among 65-yr-old patients, the corresponding cost savings and health benefit are $3.7 million and 176 QALYs, and $2.3 million and 99 QALYS for 75-yr-old patients. CONCLUSION There are substantial cost and health implications of achieving complete vs incomplete reperfusion after EVT. Our study reinforces the need for a more conservative definition of therapy success and treatment approaches to achieve TICI 3 reperfusion.


BMJ Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. e027832 ◽  
Author(s):  
Christina Hansen Edwards ◽  
Gianpaolo Scalia Tomba ◽  
Ivar Sonbo Kristiansen ◽  
Richard White ◽  
Birgitte Freiesleben de Blasio

ObjectivesTo quantify population-level health and economic consequences of sick leave among workers with influenza symptoms.InterventionsCompared with current sick leave practice (baseline), we evaluated the health and cost consequences of: (1) increasing the proportion of workers on sick leave from 65% (baseline) to 80% or 90%; (2) shortening the maximum duration from symptom onset to sick leave from 4 days (baseline) to 2 days, 1.5 days, 1 day and 0.5 days; and (3) combinations of 1 and 2.MethodsA dynamic compartmental influenza model was developed using Norwegian population data and survey data on employee sick leave practices. The sick leave interventions were simulated under 12 different seasonal epidemic and 36 different pandemic influenza scenarios. These scenarios varied in terms of transmissibility, the proportion of symptomatic cases and illness severity (risk of primary care consultations, hospitalisations and deaths). Using probabilistic sensitivity analyses, a net health benefit approach was adopted to assess the cost-effectiveness of the interventions from a societal perspective.ResultsCompared with current sick leave practice, sick leave interventions were cost-effective for 31 (65%) of the pandemic scenarios, and 11 (92%) of the seasonal scenarios. Economic benefits from sick leave interventions were greatest for scenarios with low transmissibility, high symptomatic proportions and high illness severity. Overall, the health and economic benefits were greatest for the intervention involving 90% of sick workers taking sick leave within one-half day of symptoms. Depending on the influenza scenario, this intervention resulted in a 44.4%–99.7% reduction in the attack rate. Interventions involving sick leave onset beginning 2 days or later, after the onset of symptoms, resulted in economic losses.ConclusionsPrompt sick leave onset and a high proportion of sick leave among workers with influenza symptoms may be cost-effective, particularly during influenza epidemics and pandemics with low transmissibility or high morbidity.


Author(s):  
Oscar M. Camacho ◽  
Andrew Hill ◽  
Stacy Fiebelkorn ◽  
Joshua Jones ◽  
Krishna Prasad ◽  
...  

Few data are available on the health impact of tobacco heating products (THPs) at the population level. We used systems dynamics modelling to estimate effects in the established THP market in Japan. We projected effects of THP use in overall mortality up to 2100 and compare those projections against a baseline scenario based on smoking rates pre-THP launch, i.e., smoking only. The model was informed using data from publicly available sources and the literature, including population size, yearly deaths and smoking prevalence with initialisation year (2004) and, births and migration from 2004 to 2065. Transitions between products were estimated from cross-sectional population surveys in Japan. Potential life-years saved with the introduction of THPs was 13 million by 2100 compared with smoking only. In worst-case scenario, population health gains would be seen with THPs risk 10–50% lower risk than smoking. Assuming equal risk for dual use and smoking, THP risk would need to be at least 10% lower than smoking to achieve a population health benefit by 2100. In credible scenarios, substantial population health gains will follow the introduction of THPs in Japan in a relatively short time frame.


2017 ◽  
Vol 33 (12) ◽  
Author(s):  
André Salem Szklo ◽  
Zhe Yuan ◽  
David Levy

Abstract: A previous application of the Brazil SimSmoke tobacco control policy simulation model was used to show the effect of policies implemented between 1989 and 2010 on smoking-attributable deaths (SADs). In this study, we updated and further validated the Brazil SimSmoke model to incorporate policies implemented since 2011 (e.g., a new tax structure with the purpose of increasing revenues/real prices). In addition, we extended the model to estimate smoking-attributable maternal and child health outcomes (MCHOs), such as placenta praevia, placental abruption, preterm birth, low birth weight, and sudden infant death syndrome, to show the role of tobacco control in achieving the Millennium Development Goals. Using data on population, births, smoking, policies, and prevalence of MCHOs, the model is used to assess the effect on both premature deaths and MCHOs of tobacco control policies implemented in Brazil in the last 25 years relative to a counterfactual of policies kept at 1989 levels. Smoking prevalence in Brazil has fallen by an additional 17% for males (16%-19%) and 19% for females (14%-24%) between 2011 and 2015. As a result of the policies implemented since 1989, 7.5 million (6.4-8.5) deaths among adults aged 18 years or older are projected to be averted by 2050. Current policies are also estimated to reduce a cumulative total of 0.9 million (0.4-2.4) adverse MCHOs by 2050. Our findings show the benefits of tobacco control in reducing both SADs and smoking-attributable MCHOs at population level. These benefits may be used to better inform policy makers in low and middle income countries about allocating resources towards tobacco control policies in this important area.


2021 ◽  
Vol 8 ◽  
pp. 205435812110403
Author(s):  
Ivan Yanev ◽  
Michael Gagnon ◽  
Matthew P. Cheng ◽  
Steven Paraskevas ◽  
Deepali Kumar ◽  
...  

Background: The coronavirus disease 2019 (COVID-19) pandemic impacted transplant programs across Canada. Objective: We evaluated the implications of delays in transplantation among Canadian end-stage kidney disease (ESKD) patients to allow pretransplant vaccination. Design: We used a Markov microsimulation model and ESKD patient perspective to study the effectiveness (quality-adjusted life years [QALY]) of living (LD) or deceased donor (DD) kidney transplantation followed by 2-dose SARS-CoV-2 vaccine versus delay in LD (“Delay LD”) or refusal of DD offer (“Delay DD”) to receive 2-dose SARS-CoV-2 vaccine pretransplant. Setting: Canadian dialysis and transplant centers. Patients: We simulated a 10 000-waitlisted ESKD patient cohort, which was predictively modeled for a lifetime horizon in monthly cycles. Measurements: Inputs on patient and graft survival estimates by patient, LD or DD characteristics, were extracted from the Treatment of End-Stage Organ Failure in Canada, Canadian Organ Replacement Register, 2009 to 2018. In addition, a literature review provided inputs on quality of life, SARS-CoV-2 transmissibility, new variants of concern, mortality risk, and antibody responses to 2-dose SARS-CoV-2 mRNA vaccines. Methods: We conducted base case, scenario, and sensitivity analyses to illustrate the impact of patient, donor, vaccine, and pandemic characteristics on the preferred strategy. Results: In the average waitlisted Canadian patient, receiving 2-dose SARS-CoV-2 vaccine post-transplant provided an effectiveness of 22.32 (95% confidence interval: 22.00-22.7) for LD and 19.34 (19.02-19.67) QALYs for DD. Delaying transplants for 6 months to allow 2-dose SARS-CoV-2 vaccine before LD and DD transplant yielded effectiveness of 22.83 (21.51-23.14) and 20.65 (20.33-20.96) QALYs, respectively. Scenario analysis suggested a benefit to short delays in DD transplants to receive 2-dose SARS-CoV-2 vaccine in waitlisted patients ≥55 years. Two-way sensitivity analysis suggested decreased effectiveness of the strategy prioritizing 2-dose SARS-CoV-2 vaccine prior to DD transplant the longer the delay and the higher the Kidney Donor Risk Index of the eventual DD transplant. When assessing the impact of SARS-CoV-2 variants of concern (infection rates ≥10-fold and associated mortality ≥3-fold vs base case), we found short delays to allow 2-dose SARS-CoV-2 vaccine administration pretransplant to be preferable. Limitations: Risks associated with nosocomial exposure of LDs were not considered. There was uncertainty regarding input parameters related to SARS-CoV-2 infection, new variants, and COVID-19 severity in ESKD patients. Given rollout of population-level SARS-CoV-2 vaccination, we assumed a linear decrease in infection rates over 1 year. Proportions of patients mounting an antibody response to 2-dose SARS-CoV-2 mRNA vaccines were considered in lieu of data on vaccine efficacy in dialysis and following transplantation. Non-age-stratified annual mortality rates were used for waitlisted candidates. Conclusions: Our analyses suggest that short delays allowing pretransplant vaccination offered comparable to greater effectiveness than pursuing transplantation without delay, proposing transplant candidates should be prioritized to receive at least 2 doses of SARS-CoV-2 vaccine. Our scenario and sensitivity analyses suggest that caution must be exercised when declining DD offers in patients offered low risk DD and who are likely to incur significant delays in access to transplantation. While population-level herd immunity may decrease infection risk in transplant patients, more data are required on vaccine efficacy against SARS-CoV-2 and variants of concern in ESKD, and how efficacy may be modified by a third vaccine dose, maintenance immunosuppression and timing of induction and rejection therapies.


Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 2896-2896 ◽  
Author(s):  
Francis Vekeman ◽  
Brahim K. Bookhart ◽  
Mei S. Duh ◽  
Scott R. McKenzie ◽  
Patrick Lefebvre ◽  
...  

Abstract Background: Between 1987–1997, the demand for allogeneic blood (whole blood and packed RBC) in the US decreased due to concerns about safety of the blood supply1. Paradoxically, these concerns also led to a decrease in the available supply. During this same period, collection of allogeneic blood declined from 13.6 million to 11.9 million units, resulting in a 48% reduction in the margin between available supply and demand.1 Although both supply and demand for blood has since increased, the margin has further declined to only 6.1% in 2004 (allogeneic collection: 14.8 million units; transfusion: 13.9 million units)2. This situation is further exacerbated by procedures used for qualifying fully screened units. In 2004, 240,000 units were rejected after screening, leaving a margin of only 648,000 units available (4.5% of the supply). Given the introduction and adoption of treatments that reduce transfusions, such as erythropoiesis-stimulating agents (ESAs) for patients (pts) with chemotherapy-induced anemia (CIA), in the past 15 years, periodic shortages in the blood supply due to this limited surplus have been moderated. Purpose: To estimate the impact of limiting the use of ESAs for CIA on the US blood supply. Methods: A modeling simulation was employed using a top-down approach to compare the number of RBC units transfused in ESA-treated pts to the number of RBC units that would be transfused if ESAs were discontinued or limited in the same population. The excess number of RBC units that would be required if ESA treatment in CIA pts was limited was contrasted with the available marginal blood supply from 2004 (latest data available). Model inputs included incident cases of CIA pts treated with ESA, transfusion rates from clinical trials, and volume of RBC units required for ESA-treated and untreated pts. Data were obtained from published literature or expert opinion where published evidence was unavailable. Estimates were developed for multiple ESA reduction scenarios, and sensitivity analyses were conducted using a range of +/–10% for each input parameter. Results: Under the base case scenario, it was estimated that 492,002 incident CIA pts received a total of 372,809 RBC units despite ESA treatment. The model predicted that up to a third of the marginal US blood supply would be required to cover the incremental demand for blood that would arise from a 25% decrease in ESA use (incremental RBC units transfused: 118,602 units, sensitivity range: 63,030–210,110 units). For ESA use reductions of 50% and 75%, the model predicted 37% (237,203 units) and 55% (355,805 units) of the marginal US blood supply would be required, respectively. In the case of total cessation of ESA use for CIA, the available US blood supply could be exceeded (incremental demand: 474,407 units, sensitivity range: 252,119–840,441 units). Conclusions: This current model of blood demand showed limiting ESA use in CIA pts imposes considerable pressure on the available US blood supply given the small margin between usable blood and transfusion demand. This added pressure on the blood supply does not consider additional exacerbations due to regional and seasonal variation in the number of available units as well as donation frequency variations.


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