Does smoking status affect cost of hospitalization? Evidence from three main diseases associated with smoking in Iran

Trends in Cardiovascular Diseases and Costs Among Type 2 Diabetes Mellitus (T2DM) Patients in Malaysia: A Cohort Study of 240,611 Public Hospital Inpatients

BACKGROUND

Identifying trends of hospital admissions and costs for cardiovascular disease events (CVDEs) is crucial for public health intervention and the economic burden for future clinical improvements and better outcomes. This study aims to define the admission trends and cost of CVDE among type 2 diabetes mellitus (T2DM) patients in Malaysia between 2014 and 2020.  Methodology: An ecological study was conducted using hospital admission data taken from the Casemix database in public hospitals in Malaysia. Hospital admission data for CVDE among T2DM patients were extracted for the period between 2014 and 2020. The cost data were retrieved from the Malaysian Disease Related Group (MalaysianDRG) costing section, and the median and total costs were calculated per CVDE per year. Descriptive statistical analysis and multiple logistic regression models were used to analyze trends and factors associated.

RESULTS

A total of 240,611 T2DM admissions, representing 35.1% of 684,809 CVDE admissions, were included in this study. Among these, 32.9% were treated for myocardial infarction (MI), 20.1% for cerebrovascular accident (CVA), 19.4% for heart failure, 12.8% for ischemic heart disease (IHD), 8.2% for hypertensive heart disease (HHD), 5.6% for cardiomyopathy, and 1.0% for atherosclerosis and peripheral vascular disease (PVD). CVDE admissions were prevalent among males (59.2%) and associated with higher cost of admission (β = 1.13, P < 0.001), patients aged 40-49 years old had 24% high odd for high cost (β = 1.24, P < 0.001) compared to those aged 19-29 years. Compared to Malay, Chinese and other ethnicities were significantly associated with high cost (β = 1.13, P < 0.001). Patients with severity level III were 10 times more likely to have higher costs as compared to severity level I (β = 10.39, P < 0.001), 72.6% were admitted in less than five days, and 23.1% were less likely to incur high cost as compared to patients admitted more than five days (β = 0.769, P < 0.001). The trend of admissions is increasing each year, with the median total hospital expenditure higher in IHD patients with T2DM, which increased by 55.5% from 2014 to 2020 (from RM 4,187.98 to RM 6,510.43). This was followed by MI, which saw an 8% increase (from RM 3,881.80 to RM 4,211.18).

CONCLUSIONS

The findings of this research indicated cardiovascular disease (CVD) admission trends and costs increased substantially over the years and higher costs in dual noncommunicable diseases (NCDs). These findings underscore the urgent need for enhanced preventive strategies targeting high-risk populations, such as males, individuals with severe disease levels, and specific ethnic groups. Policies should emphasize lifestyle modification programs, early diagnosis of cardiovascular risks among T2DM patients, and cost-effective treatments to mitigate the growing financial burden. Furthermore, resource allocation must be adjusted to address the increasing demand for care, particularly for conditions like IHD and MI, ensuring equitable access to quality care while containing healthcare costs.

Length of hospital stay and associated factors among adult surgical patients admitted to surgical wards in Amhara Regional State Comprehensive Specialized Hospitals, Ethiopia

INTRODUCTION

Hospitals across the country are facing increases in hospital length of stay ranging from 2% to 14%. This results in patients who stay in hospital for long periods of time being three times more likely to die in hospital. Therefore, identifying factors that contribute to longer hospital stays enhances the ability to improve services and quality of patient care. However, there is limited documented evidence on factors associated with longer hospital stays among surgical inpatients in Ethiopia and the study area.

OBJECTIVE

This study aimed to assess the length of hospital stay and associated factors among adult surgical patients admitted to surgical wards in Amhara Regional State Comprehensive Specialized Hospitals, Ethiopia, 2023.

METHODS

An institutional-based cross-sectional study was conducted among 452 adult surgical patients from April 17 to May 22, 2023. Data were collected based on a pretested, structured, interviewer-administered questionnaire, medical record review, and direct measurement of BMI. Study participants were selected using a systematic random sampling technique. The collected data were cleaned, entered into EpiData version 4.6.0 and exported to STATA version 14 for analysis. Binary logistic regression analysis was used. Variables with a p value <0.05 in the multivariable logistic regression analysis were considered statistically significant.

RESULTS

In the current study, the prevalence of prolonged hospital stay was 26.5% (95% CI: 22.7, 30.8). Patients referred from another public health facility (AOR = 2.65; 95% CI: 1.14, 6.14), hospital-acquired pneumonia (AOR = 3.64; 95% CI: 1.43, 9.23), duration of surgery ≥110 minutes (AOR = 2.54; 95% CI: 1.25, 5.16), being underweight (AOR = 5.21; 95%CI: 2.63, 10.33) and preoperative anemia (AOR = 3.22; 95% CI: 1.77, 5.86) were factors associated with prolonged hospital stays.

CONCLUSION

This study found a significant proportion of prolonged hospital stays among patients admitted to surgical wards. Patients referred from another public health facility, preoperative anemia, underweight, duration of surgery ≥110 minutes, and hospital-acquired pneumonia were factors associated with prolonged hospital stay. Early screening and treatment of anemia and malnutrition before surgery can shorten the length of stay.

Length of Hospital Stay, Hospitalization Costs, and Their Drivers in Adults with Diabetes in the Romanian Public Hospital System

The aim of this analysis was to assess the costs associated with the hospitalizations of persons with diabetes in a Romanian public hospital. We performed a retrospective “top-down” cost analysis of all adult patients discharged from a tertiary care hospital with an ICD-10 primary or secondary code of diabetes mellitus (type 1, type 2, or specific forms) between 1 January 2015 and 31 December 2018. All costs were adjusted with the annual inflation rates and converted to EUR. We included 16,868 patients with diabetes and 28,055 episodes of hospitalization. The total adjusted hospitalization cost in the analyzed period was EUR 26,418,126.8 and the adjusted median cost/episode of hospitalization was EUR 596.5. The mean length of a hospital stay/episode was 7.3 days. In the multivariate regression analysis, higher adjusted average costs/episodes of hospitalization and longer lengths of hospital stays were associated with increasing age, the presence of cardiovascular diseases, chronic kidney disease, and foot ulcerations. Moreover, a significant association between the average cost/episode of hospitalization and the length of hospital stay was observed (β = 0.704, p < 0.001). This study shows the burden on Romanian public hospitals of inpatient diabetes care and the main drivers of the costs.

Differences in medical costs among urban lung cancer patients with different health insurance schemes: a retrospective study

Background

Health insurance plays a significant role in reducing the financial burden for lung cancer patients. However, limited research exists regarding the differences in medical costs for lung cancer patients with different insurance schemes across different cities. We aimed to assess disparities in lung cancer patients’ costs by insurance type and city–specific insurance type.

Methods

Claim data of China Urban Employees’ Basic Medical Insurance (UEBMI) and Urban Residents’ Basic Medical Insurance (URBMI) between 2010 and 2016 were employed to investigate differences in medical costs. This study primarily applied descriptive analysis and a generalized linear model with a gamma distribution and a log link.

Results

In total, 92,856 lung cancer patients with inpatient records were identified, with Renminbi (RMB) 11,276 [6322–20,850] (median [interquartile range]) medical costs for the UEBMI group and RMB 8303 [4492–14,823] for the URBMI group. Out–of–pocket (OOP) expenses for the UEBMI group was RMB 2143 [1108–4506] and RMB 2975 [1367–6275] for the URBMI group. The UEBMI group also had significantly higher drug costs, medical service costs, and medical consumable costs, compared to the URBMI group. Regarding city-specific insurances, medical costs for the UEBMI and the URBMI lung cancer patients in Shanghai were RMB 9771 [5183–16,623] and RMB 9741 [5924–16,067], respectively. In Xianyang, the medical costs for UEBMI and URBMI patients were RMB 11,398 [6880–20,648] and RMB 9853 [5370–24,674], respectively. The regression results showed that the UEBMI group had 27.31% fewer OOP expenses than the URBMI group did, while patients in Xiangyang and Xianyang had 39.53 and 35.53% fewer OOP expenses, respectively, compared to patients in Shanghai.

Conclusions

Compared with the URBMI patients, the UEBMI lung cancer patients obtained more or even better health services and had reduced financial burden. The differences in insurances among cities were greater, compared to those among insurances within cities, and the differences in OOP expenses between cities were greater compared to those between UEBMI and URBMI. Our results called for further reform of China’s fragmented insurance schemes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07957-9.

Metabolic Differences between Ex-Smokers and Nonsmokers: A Metabolomic Analysis

The aim of this study was to compare changes in the metabolite levels of ex-smokers and nonsmokers using a metabolomics approach, accounting for the weight gain in ex-smokers. Volunteer ex-smokers and nonsmokers were recruited from two cohorts Shijingshan (174) and Xishan (78), respectively, at a 1 : 1 ratio for age and sex. Nontargeted metabolomics was performed on the volunteers' blood samples using liquid chromatography-mass spectrometry, and multivariate statistical analysis was performed using principal component analysis and orthogonal partial least squares discriminant analysis. Enrichment analysis was used to identify Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways associated with differential metabolites and weighted gene co-expression network analysis and maximal correlation coefficient (MCC) algorithms were used to identify key metabolites. The results revealed no significant differences between the distribution of blood metabolite levels in the ex-smokers and nonsmokers. The biosynthesis of valine, leucine, and isoleucine was determined to be associated with differential metabolites, and five key metabolites were identified. Further analysis revealed differences in weight gain and regained metabolite levels in ex-smokers, and 10 differential metabolites were identified that may be associated with weight gain in ex-smokers. These findings suggest that quitting smoking restores metabolites to almost normal levels and results in weight gain. The identified key metabolites and metabolic pathways may also provide a basis for clinical studies.