Hospital Cost of Inflammatory Bowel Disease and Its Determinants in a Multicenter Study From Iran.

Background: In the current era of monitoring healthcare costs for patients with inflammatory bowel disease (IBD), there has been a shift in the pattern of such costs. In this cross-sectional study conducted in three hospitals in Iran from 2015 to 2021, we aimed to assess the in-hospital costs of IBD and identify predictors of higher total hospital costs in hospitalized patients with IBD. Methods: This cross-sectional study was conducted at three hospitals in Iran. For the purpose of this study, we collected demographic and clinical information, as well as cost data for patients with IBD. Two non-parametric statistical procedures, classification and regression trees (CARTs) and quantile regression forests (QRFs), were employed to identify the main factors related to hospital costs of IBD, which served as the dependent variable in our analysis. Results: During 7 years, 930 admissions occurred in these three hospitals. 22.3% of patients (138 of 619) were readmitted, and 306 (49.4%) were male. The mean age of the patients was 33 (SD=18.9) years. A total of 454 patients (73.3%) had ulcerative colitis (UC), and 165 patients (26.7%) had Crohn's disease (CD). Hotelling and medication costs accounted for the largest share of the total hospital costs, with percentages of 30.61% and 23.40%, respectively. Length of stay (LOS) was found to be the most important variable related to hospital costs of IBD in both QRF and CART models, followed by age and year of hospital admission in QRF. Additionally, in the CART model, hospital type and year of hospital admission were also significant predictors of hospital costs for patients with IBD. Conclusion: The present study showed that LOS, age, year of admission, and the hospital where the patient is admitted are all important factors that determine hospital costs for patients with IBD. Patients admitted for 20.5 days or longer had the highest hospital costs. These findings can be used as thresholds for future DRG policies.

Preserving natural teeth versus extracting them: a willingness to pay analysis.

BACKGROUND: Maximum willingness to pay (WTP) for a health benefit is related to perceived value. The goal of this study was to find out how much Iranian healthy people would be willing to pay to keep their natural teeth instead of having them pulled. This was done separately for the anterior and posterior teeth. METHODS: The highest value was posed as an open-ended question in this cross-sectional analysis conducted in 2021. Four distinct scenarios for treating a tooth with a poor prognosis for natural tooth preservation versus extraction were offered. WTP for the preferred treatment option was asked for painful and painless anterior and posterior teeth separately. A two-stage hurdle approach was employed to determine factors influencing the WTP for a hopeless case. The level of significance was fixed at 0.05. RESULTS: Out of 795 individuals, 355 (44.7%) were male and 209 (26.3%) had poor self-stated dental health. Over 65% of those interviewed said they wanted to keep their teeth. The mean WTP was highest for dental preservation up to 94 USD and the lowest was for extraction without replacement 19 USD. The WTP for anterior tooth therapy was greater than the WTP for posterior dental care, regardless of treatment type or tooth discomfort. Participants with higher education, jobs, income-to-expenditure matching, older age, preference for the treatment in a private office, and female gender (except for WTP for a painful posterior tooth) were more likely to have a WTP of at least 1 USD. CONCLUSION: The average WTP for treatment of teeth with a poor prognosis was lower than the average fee charged in dental facilities, and more than 65% of participants preferred to keep their teeth. Regardless of the treatment option or whether it was painful or not, WTP for anterior teeth treatment was higher than for posterior teeth. Generally, we found that sociodemographic factors influenced WTP decision-making the most. This study has practical implications for public oral health policymakers and insurance organizations.

Rapid PCR-based method for herbivore dietary evaluation using plant-specific primers.

Polyphagous pests cause significant economic loss worldwide through feeding damage on various cash crops. However, their diets in agricultural landscapes remain largely unexplored. Pest dietary evaluation in agricultural fields is a challenging task currently approached through visual observation of plant feeding and microscopic identification of semi-digested plant material in pest's guts. While molecular gut content analysis using metabarcoding approaches using universal primers (e.g., rbcl and trnL) have been successful in evaluating polyphagous pest diet, this method is relatively costly and time-consuming. Hence, there is a need for a rapid, specific, sensitive, and cost-effective method to screen for crops in the gut of pests. This is the first study to develop plant-specific primers that target various regions of their genomes, designed using a whole plant genome sequence. We selected Verticillium wilt disease resistance protein (VE-1) and pathogenesis related protein-coding genes 1-5 (PR-1-5) as our targets and designed species-specific primers for 14 important crops in the agroecosystems. Using amplicon sizes ranging from 115 to 407 bp, we developed two multiplex primer mixes that can separate nine and five plant species per PCR reaction, respectively. These two designed primer mixes provide a rapid, sensitive and specific route for polyphagous pest dietary evaluation in agroecosystems. This work will enable future research to rapidly expand our knowledge on the diet preference and range of crops that pests consume in various agroecosystems, which will help in the redesign and development of new crop rotation regimes to minimize polyphagous pest pressure and damage on crops.

Social, economic, and legislative factors and global road traffic fatalities.

BACKGROUND: Road traffic fatalities (RTF) is the 8th cause of mortality around the world. At the end of the Decade of Action, it would be of utmost importance to revisit our knowledge on the determinants of RTF. The aim of this study is to assess factors related to RTF at global level. METHODS: We used road safety development index which accounts for the interactions between system, human and products to assess the RTF in 115 and 113 countries in 2013 and 2016, respectively. To analyze data, three statistical procedures (linear regression, classification and regression trees, and multivariate adaptive regression splines) were employed. RESULTS: Classification and regression trees has the best performance amongst all others followed by multivariate adaptive regression splines for 2013 and 2016 data set with an R2 around 0.83. Results show that any increase in human development index was associated with RTF reduction. Comparing RTF data of 2013 and 2016, 8 countries experienced a change of more than 30%, which demonstrated a significant relationship with GINI index (named after Corrado Gini). Considering the three components of human development index, it is revealed that education explained most of RTF variation in classification and regression trees model followed by income and life expectancy. CONCLUSION: Policymakers should consider road collisions as a socio-economic issue. In this regard, they can make provisions to reduce RTF in the long run by focusing on enhancing the three components of human development index, mainly education. However, there is a need to investigate the causation pathway among these three components with RTF with different time-trend procedures.