Background Smoking cessation pharmacotherapies (SCPs) have been established as cost-effective for the treatment of tobacco use disorder across a variety of settings. In Jordan, a resource-constrained country where smoking rates rank at one of the highest globally, the cost-effectiveness of SCPs has not yet been quantified. The lack of information about the value of SCPs has contributed to low demand for them (from public and private payers) and consequently low availability of these medications. The aim of this study was to simulate—in a hypothetical cohort of Jordanian smokers—the clinical and economic impact of using two smoking cessation regimens and to generate cost-effectiveness values that can support policy changes to avail smoking cessation medication in a country burdened with heavy tobacco use. Methods We employed a similar approach to a widely used economic model, the Benefits of Smoking Cessation on Outcomes (BENESCO) model. A hypothetical cohort of Jordanian male smokers aged 30 to 70 years and making a quit attempt using either a varenicline regimen or a nicotine replacement therapy (NRT) regimen were followed over time (until reaching 70 years of age). Markov simulations were run for the cohort, and life years gained were computed for each arm (compared to no intervention). Drug costs, prevalence of smoking, and population life expectancies were based on Jordanian data. Efficacy data were obtained from the literature. Incremental cost-effectiveness ratios as well as the potential budgetary impact of employing these regimens were generated. Several parameters were modified in sensitivity analyses to capture potential challenges unique to Jordan and that could impact the results. Results For a treatment cohort of 527,118 Jordanian male smokers who intended to quit, 103,970 life years were gained using the varenicline regimen, while 64,030 life years were gained using the NRT regimen (compared to the no-intervention arm of life years). The cost per life year gained was JD1204 ($1696 USD) and JD1342 ($1890 USD) for varenicline and NRT, respectively.
This paper compares a homogeneous group of countries in terms of capacity and technology, where we picked income as indicator for capacity and technology. We study the case of the Hashemite Kingdom of Jordan. We apply radical data envelopment analysis to 36 middle income countries where we calculate constant returns to scale technical efficiency and variable returns to scale technical efficiency to show the health care sector efficiency in Jordan. Using different factors for input first we studied healthcare expenditure per capita then as percent of GDP and public expenditure as percent of GDP and private as percent of GDP, and last was the number of beds per 1000 population and physicians per 1000 population all to the same output life expectancy. The results show that there is inefficiency in health care expenditure. The inefficiency mainly is shown by two major findings, first the lack of utilization of resources. Secondly, the public-sector inefficiency. The output is justifiable for many challenges faced the health sector in the year of the study one of which is the Syrian refuges crisis. We shed light on factors causing the inefficiency where modifications could yield substantial efficiency gains. As for the mix between public and private sectors and the quality and utilization and distribution of the real resources, nevertheless adding health economists to the management staff for there is a managerial inefficiency.
The purpose of this study is to measure and compare the efficiencies for 35 manufacturing firms listed in Amman Stock exchange (ASE) in Jordan over the period 2009-2017. A panel data was collected for the firms over the 9 years, the data was collected from the annual reports of the firms. The data envelopment analysis (DEA) was used to measure an average efficiency score for each firm, the DEA was also used to find a panel data for efficiency scores, since the data was available for a short period of 9 years the bootstrap technique was used to estimate a confidence interval for the efficiency score for each firm. The linear transformation form of Cobb-Douglas production function with two inputs (capital and labor) and one output (production) was used in DEA. The study revealed that among the 35 firms only 4 firms were efficient, and the rank for the firms' efficiency were also obtained.
This study examines the technical efficiency of the manufacturing firms listed in Amman Stock Exchange market (ASE) in Jordan over the period 2009-2017. The stochastic frontier approach was used to measure the efficiency. The results show that the firms have an overall efficiency of 74%, means that the firms wasted about 26% of their inputs. Among the firms, (RMCC) has the highest averageefficiency of (90%) witha standard deviation of (0.06) over the period of the study, and (IPCH) has the lowest average efficiency of (26% )with a standard deviation of ( 0.38) for the same period.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.