Unraveling the effects of DIP payment reform on inpatient healthcare: insights into impacts and challenges.

BACKGROUND: The Diagnosis-Intervention Packet (DIP) payment system, initiated by China's National Healthcare Security Administration, is designed to enhance healthcare efficiency and manage rising healthcare costs. This study aims to evaluate the impact of the DIP payment reform on inpatient care in a specialized obstetrics and gynecology hospital, with a focus on its implications for various patient groups. METHODS: To assess the DIP policy's effects, we employed the Difference-in-Differences (DID) approach. This method was used to analyze changes in total hospital costs and Length of Stay (LOS) across different patient groups, particularly within select DIP categories. The study involved a comprehensive examination of the DIP policy's influence pre- and post-implementation. RESULTS: Our findings indicate that the implementation of the DIP policy led to a significant increase in both total costs and LOS for the insured group relative to the self-paying group. The study further identified variations within DIP groups both before and after the reform. In-depth analysis of specific disease groups revealed that the insured group experienced notably higher total costs and LOS compared to the self-paying group. CONCLUSIONS: The DIP reform has led to several challenges, including upcoding and diagnostic ambiguity, because of the pursuit of higher reimbursements. These findings underscore the necessity for continuous improvement of the DIP payment system to effectively tackle these challenges and optimize healthcare delivery and cost management.

Robotic surgery reduces the consumption of medical consumables: cost analysis of robotic pancreatic surgery from a tertiary hospital in China.

Robotic surgery has been increasingly adopted in various surgical fields, but the cost-effectiveness of this technology remains controversial due to its high cost and limited improvements in clinical outcomes. This study aims to explore the health economic implications of robotic pancreatic surgery, to investigate its impact on hospitalization costs and consumption of various medical resources. Data of patients who underwent pancreatic surgery at our institution were collected and divided into robotic and traditional groups. Statistical analyses of hospitalization costs, length of stay, costs across different service categories, and subgroup cost analyses based on age, BMI class, and procedure received were performed using t tests and linear regression. Although the total hospitalization cost for the robotic group was significantly higher than that for the traditional group, there was a notable reduction in the cost of medical consumables. The reduction was more prominent among elderly patients, obese patients, and those undergoing pancreaticoduodenectomy, which could be attributed to the technological advantages of the robotic surgery platform that largely facilitate blood control, tissue protection, and suturing. The study concluded that despite higher overall costs, robotic pancreatic surgery offers significant savings in medical consumables, particularly benefiting certain patient subgroups. The findings provide valuable insights into the economic viability of robotic surgery, supporting its adoption from a health economics perspective.

The impact of cannabis use disorder on urologic oncologic surgery morbidity, length of stay, and inpatient cost: analysis of the National Inpatient Sample from 2003 to 2014.

PURPOSE: This study examined the impact of cannabis use disorder (CUD) on inpatient morbidity, length of stay (LOS), and inpatient cost (IC) of patients undergoing urologic oncologic surgery. METHODS: The National Inpatient Sample (NIS) from 2003 to 2014 was analyzed for patients undergoing prostatectomy, nephrectomy, or cystectomy (n = 1,612,743). CUD was identified using ICD-9 codes. Complex-survey procedures were used to compare patients with and without CUD. Inpatient major complications, high LOS (4th quartile), and high IC (4th quartile) were examined as endpoints. Univariable and multivariable analysis (MVA) were performed to compare groups. RESULTS: The incidence of CUD increased from 51 per 100,000 admissions in 2003 to 383 per 100,000 in 2014 (p < 0.001). Overall, 3,503 admissions had CUD. Patients with CUD were more frequently younger (50 vs. 61), male (86% vs. 78.4%), Black (21.7% vs. 9.2%), and had 1st quartile income (36.1% vs. 20.6%); all p < 0.001. CUD had no impact on any complication rates (all p > 0.05). However, CUD patients had higher LOS (3 vs. 2 days; p < 0.001) and IC ($15,609 vs. $12,415; p < 0.001). On MVA, CUD was not an independent predictor of major complications (p = 0.6). Conversely, CUD was associated with high LOS (odds ratio (OR) 1.31; 95% CI 1.08-1.59) and high IC (OR 1.33; 95% CI 1.12-1.59), both p < 0.01. CONCLUSION: The incidence of CUD at the time of urologic oncologic surgery is increasing. Future research should look into the cause of our observed phenomena and how to decrease LOS and IC in CUD patients.

Extending mechanical thrombectomy service provision to 24/7: a break-even analysis.

BACKGROUND: Comprehensive stroke centres across England have developed investment proposals, showing the estimated increases in mechanical thrombectomy (MT) treatment volume that would justify extending the standard hours to a 24/7 service provision. These investment proposals have been developed taking a financial accounting perspective, that is by considering the financial revenues from tariff income. However, given the pressure put on local health authorities to provide value for money services, an affordability question emerges. That is, at what additional MT treatment volume the additional treatment costs are offset by the additional health economic benefits, that is quality-adjusted life years (QALYs) and societal cost savings, generated by administering MT compared to standard care. METHODS: A break-even analysis was conducted to identify the additional MT treatment volume required. The incremental hospital-related costs associated with the 24/7 MT extension were estimated using information and parameters from four relevant business cases. The additional societal cost savings and health benefits were estimated by adapting a previously developed Markov chain-based model. RESULTS: The additional hospital-related annual costs for extending MT to a 24/7 service were estimated at a mean of £3,756,818 (range £1,847,387 to £5,092,788). On average, 750 (range 246 to 1,571) additional eligible stroke patients are required to be treated with MT yearly for the proposed 24/7 service extension to be affordable from a health economic perspective. Overall, the additional facility and equipment costs associated with the 24/7 extension would affect this estimate by 20%. CONCLUSIONS: These findings support the ongoing debate regarding the optimal levels of MT treatment required for a 24/7 extension and respective changes in hospital organisational activities. They also highlight a need for a regional-level coordination between local authorities and hospital administrations to ensure equity provision in that stroke patients can benefit from MT and that the optimal MT treatment volume is reached. Future studies should contemplate reproducing the presented analysis for different health service provision settings and decision making contexts.

Predicting hospitalization costs for pulmonary tuberculosis patients based on machine learning.

BACKGROUND: Pulmonary tuberculosis (PTB) is a prevalent chronic disease associated with a significant economic burden on patients. Using machine learning to predict hospitalization costs can allocate medical resources effectively and optimize the cost structure rationally, so as to control the hospitalization costs of patients better. METHODS: This research analyzed data (2020-2022) from a Kashgar pulmonary hospital's information system, involving 9570 eligible PTB patients. SPSS 26.0 was used for multiple regression analysis, while Python 3.7 was used for random forest regression (RFR) and MLP. The training set included data from 2020 and 2021, while the test set included data from 2022. The models predicted seven various costs related to PTB patients, including diagnostic cost, medical service cost, material cost, treatment cost, drug cost, other cost, and total hospitalization cost. The model's predictive performance was evaluated using R-square (R2), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE) metrics. RESULTS: Among the 9570 PTB patients included in the study, the median and quartile of total hospitalization cost were 13,150.45 (9891.34, 19,648.48) yuan. Nine factors, including age, marital status, admission condition, length of hospital stay, initial treatment, presence of other diseases, transfer, drug resistance, and admission department, significantly influenced hospitalization costs for PTB patients. Overall, MLP demonstrated superior performance in most cost predictions, outperforming RFR and multiple regression; The performance of RFR is between MLP and multiple regression; The predictive performance of multiple regression is the lowest, but it shows the best results for Other costs. CONCLUSION: The MLP can effectively leverage patient information and accurately predict various hospitalization costs, achieving a rationalized structure of hospitalization costs by adjusting higher-cost inpatient items and balancing different cost categories. The insights of this predictive model also hold relevance for research in other medical conditions.

Cross-validation of insurer and hospital price transparency data.

Given recent congressional interest in codifying price transparency regulations, it is important to understand the extent to which newly available price transparency data capture true underlying procedure-level prices. To that end, we compared the prices for maternity services negotiated between a large payer and 26 hospitals in Mississippi across 2 separate price transparency data sources: payer and hospital. The degree of file overlap is low, with only 16.3% of hospital-billing code observations appearing in both data sources. However, for the observations that overlap, pricing concordance is high: Corresponding prices have a correlation coefficient of 0.975, 77.4% match to the penny, and 84.4% are within 10%. Exact price matching rates are greater than 90% for 3 of the 4 service lines included in this study. Taken together, these results suggest that although administrative misalignment exists between payers and hospitals, there is a measure of signal amid the price transparency noise.

Allocation and value of curative oncological treatment in frail and fit older patients with esophageal cancer: An observational cohort study.

INTRODUCTION: The Value-Based Health Care (VBHC) model of care provides insights into patient characteristics, outcomes, and costs of care delivery that help clinicians counsel patients. This study compares the allocation and value of curative oncological treatment in frail and fit older patients with esophageal cancer in a dedicated VBHC pathway. MATERIALS AND METHODS: Data was collected from patients with primary esophageal cancer without distant metastases, aged 70 years or older, and treated at a Dutch tertiary care hospital between 2015 and 2019. Geriatric assessment (GA) was performed. Outcomes included treatment discontinuation, mortality, quality of life (QoL), and physical functioning over a one-year period. Direct hospital costs were estimated using activity-based costing. RESULTS: In this study, 89 patients were included with mean age 75 years. Of 56 patients completing GA, 19 were classified as frail and 37 as fit. For frail patients, the treatment plan was chemoradiotherapy and surgery (CRT&S) in 68% (13/19) and definitive chemoradiotherapy (dCRT) in 32% (6/19); for fit patients, CRT&S in 84% (31/37) and dCRT in 16% (6/37). Frail patients discontinued chemotherapy more often than fit patients (26% (5/19) vs 11% (4/37), p = 0.03) and reported lower QoL after six months (mean 0.58 [standard deviation (SD) 0.35] vs 0.88 [0.25], p < 0.05). After one year, 11% of frail and 30% of fit patients reported no decline in physical functioning and QoL and survived. Frail and fit patients had comparable mean direct hospital costs (€24 K [SD €13 K] vs €23 K [SD €8 K], p = 0.82). DISCUSSION: The value of curative oncological treatment was lower for frail than for fit patients because of slightly worse outcomes and comparable costs. The utility of the VBHC model of care depends on the availability of sufficient data. Real-world evidence in VBHC can be used to inform treatment decisions and optimization in future patients by sharing results and monitoring performance over time. TRIAL REGISTRATION: The study was retrospectively registered at the Netherlands Trial Register (NTR), trial number NL8107 (date of registration: 22-10-2019).

Estimation and determinants of direct hospitalisation cost for coronary heart disease in a low-middle-income country: evidence from a nationwide study in Iranian hospitals.

BACKGROUND: Coronary heart disease (CHD) is the most prevalent type of cardiovascular disease in Iran. This study aims to investigate the estimation and determinants of direct hospitalisation cost for patients with CHD in Iranian hospitals. METHODS: We identified patients with CHD in Iran in 2019-2020. Data were gathered from the Iran Health Insurance Organisation information systems and the Ministry of Health and Medical Education. This was a cross-sectional prevalence-based study. Generalised linear models were used to find the determinants of hospitalisation cost for patients with CHD. A total of 86 834 patients suffering from CHD were studied. RESULTS: Mean hospitalisation cost per CHD patient was US$382.90±US$500.72 while the mean daily hospitalisation cost per CHD patient was US$89.71±US$89.99. In-hospital mortality of CHD was 2.52%. Hospitalisation accommodation and medications had the highest share of hospitalisation costs (25.59% and 22.63%, respectively). Men spent 1.12 (95% CI 1.11 to 1.13) times more on hospitalisation costs compared with women, and individuals aged 60 to 69 had hospitalisation costs 1.04 (95% CI 1.02 to 1.06) times higher than those in the 0-49 age range. Patients insured by the Iranian Fund have significantly higher costs 1.17 (95% CI 1.14 to 1.19) than the Rural fund. Hospitalisation costs for patients with CHD who received surgery and angiography were significantly 2.36 (95% CI 2.30 to 2.43) times higher than for patients who did not undergo surgery and angiography. CONCLUSION: Applying CHD prevention strategies for men and the middle-aged population (50-70 years) is strongly recommended. Prudent use and prescribing of medications will be helpful to reduce hospitalisation cost.

The influence of adverse events on inpatient outcomes in a tertiary hospital using a diagnosis-related group database.

Adverse events (AEs) are a significant concern for healthcare systems. However, it is difficult to evaluate their influence because of the complexity of various medical services. This study aimed to assess the influence of AEs on the outcomes of hospitalized patients using a diagnosis-related group (DRG) database. We conducted a case-control study of hospitalized patients at a multi-district tertiary hospital with 2200 beds in China, using data from a DRG database. An AE refers to an unintended physical injury caused or contributed to by medical care that requires additional hospitalization, monitoring, treatment, or even death. Relative weight (RW), a specific indicator of DRG, was used to measure the difficulty of diagnosis and treatment, disease severity, and medical resources utilized. The primary outcomes were hospital length of stay (LOS) and hospitalization costs. The secondary outcome was discharge to home. This study applied DRG-based matching, Hodges-Lehmann estimate, regression analysis, and subgroup analysis to evaluate the influence of AEs on outcomes. Two sensitivity analyses by excluding short LOS and changing adjustment factors were performed to assess the robustness of the results. We identified 2690 hospitalized patients who had been divided into 329 DRGs, including 1345 patients who experienced AEs (case group) and 1345 DRG-matched normal controls. The Hodges-Lehmann estimate and generalized linear regression analysis showed AEs led to prolonged LOS (unadjusted difference, 7 days, 95% confidence interval [CI] 6-8 days; adjusted difference, 8.31 days, 95% CI 7.16-9.52 days) and excess hospitalization costs (unadjusted difference, $2186.40, 95% CI: $1836.87-$2559.16; adjusted difference, $2822.67, 95% CI: $2351.25-$3334.88). Logistic regression analysis showed AEs were associated with lower odds of discharge to home (unadjusted odds ratio [OR] 0.66, 95% CI 0.54-0.82; adjusted OR 0.75, 95% CI 0.61-0.93). The subgroup analyses showed that the results for each subgroup were largely consistent. LOS and hospitalization costs increased significantly after AEs in complex diseases (RW ≥ 2) and in relation to high degrees of harm subgroups (moderate harm and above groups). Similar results were obtained in sensitivity analyses. The burden of AEs, especially those related to complex diseases and severe harm, is significant in China. The DRG database serves as a valuable source of information that can be utilized for the evaluation and management of AEs.

The cost of total hip arthroplasty: compare the hospitalization costs of national centralized procurement and national volume-based procurement.

Background: With the increasing demand for joint replacement surgery in China, the government has successively issued the policies of national centralized procurement (NCP) and national volume-based procurement (NVBP) of artificial joints. The purpose of this study is to evaluate the impact of NCP and NVBP policies on hospitalization cost, rehospitalization and reoperation rate of total hip arthroplasty (THA). Methods: In total, 347 patients who underwent THA from January 2019 to September 2022 were retrospectively analyzed. According to the implementation of NCP and NVBP, patients were divided into three groups: control group (n = 147), NCP group (n = 130), and NVBP group (n = 70). Patient-level data on the total hospitalization costs, rehospitalization rate, THA reoperation rate and inpatient component costs were collected before and after the implementation of the policies and Consumer Price Index was used to standardize the cost. Results: After the implementation of NCP and NVBP, the total cost of hospitalization decreased by $817.41 and $3950.60 (p < 0.01), respectively. The implantation costs decreased from $5264.29 to $4185.53 and then rapidly to $1143.49 (p < 0.01), contributing to increased total cost savings. However, the cost of surgery and rehabilitation increased after NCP and NVBP implementation (p < 0.01). The proportion of implants decreased from 66.76 to 59.22% and then to 29.07%, whereas that of drugs increased from 7.98 to 10.11% and then to 12.06%. The proportion of operating expenses rose from 4.86 to 8.01% and then to 18.47%. Univariate linear regression analysis showed that hospital stay, NCP and NVBP were correlated with total hospitalization cost (p < 0.01). Multivariate analysis showed that hospital stay, NCP and NVBP were independent predictors of total hospitalization cost (p < 0.01). Conclusion: In this study, hospital stay, NCP, and NVBP were independent predictors of total inpatient costs. After the implementation of NVBP policy, the cost of implants and hospitalization has decreased significantly, and the technical labor value of medical staff has increased, but a multifaceted method is still needed to solve the problem of increasing costs of other consumables. Limitations of the study suggest the need for further and more comprehensive evaluation in the future.

Analysis of hospitalization expenses and influencing factors for elderly cancer patients in a tertiary hospital in Dalian, China: a five­year retrospective study.

BACKGROUND: Because the proportion of elderly individuals and the incidence of cancer worldwide are continually increasing, medical costs for elderly inpatients with cancer are being significantly increasing, which puts tremendous financial pressure on their families and society. The current study described the actual direct medical costs of elderly inpatients with cancer and analyzed the influencing factors for the costs to provide advice on the prevention and control of the high medical costs of elderly patients with cancer. METHOD: A retrospective descriptive analysis was performed on the hospitalization expense data of 11,399 elderly inpatients with cancer at a tier-3 hospital in Dalian between June 2016 and June 2020. The differences between different groups were analyzed using univariate analysis, and the influencing factors of hospitalization expenses were explored by multiple linear regression analysis. RESULTS: The hospitalization cost of elderly cancer patients showed a decreasing trend from 2016 to 2020. Specifically, the top 3 hospitalization costs were material costs, drug costs and surgery costs, which accounted for greater than 10% of all cancers according to the classification: colorectal (23.96%), lung (21.74%), breast (12.34%) and stomach cancer (12.07%). Multiple linear regression analysis indicated that cancer type, surgery, year and length of stay (LOS) had a common impact on the four types of hospitalization costs (P < 0.05). CONCLUSION: There were significant differences in the four types of hospitalization costs for elderly cancer patients according to the LOS, surgery, year and type of cancer. The study results suggest that the health administration department should enhance the supervision of hospital costs and elderly cancer patient treatment. Measures should be taken by relying on the hospital information system to strengthen the cost management of cancer diseases and departments, optimize the internal management system, shorten elderly cancer patients LOS, and reasonably control the costs of disease diagnosis, treatment and department operation to effectively reduce the economic burden of elderly cancer patients.

Hospital services utilisation and cost before and after COVID-19 hospital treatment: Evidence from Indonesia.

OBJECTIVE: To estimate hospital services utilisation and cost among the Indonesian population enrolled in the National Health Insurance (NHI) program before and after COVID-19 hospital treatment. METHODS: 28,159 Indonesian NHI enrolees treated with laboratory-confirmed COVID-19 in hospitals between May and August 2020 were compared to 8,995 individuals never diagnosed with COVID-19 in 2020. A difference-in-difference approach is used to contrast the monthly all-cause utilisation rate and total claims of hospital services between these two groups. A period of nine months before and three to six months after hospital treatment were included in the analysis. RESULTS: A substantial short-term increase in hospital services utilisation and cost before and after COVID-19 treatment was observed. Using the fifth month before treatment as the reference period, we observed an increased outpatient visits rate in 1-3 calendar months before and up to 2-4 months after treatment (p<0.001) among the COVID-19 group compared to the comparison group. We also found a higher admissions rate in 1-2 months before and one month after treatment (p<0.001). Consequently, increased hospital costs were observed in 1-3 calendar months before and 1-4 calendar months after the treatment (p<0.001). The elevated hospital resource utilisation was more prominent among individuals older than 40. Overall, no substantial increase in hospital outpatient visits, admissions, and costs beyond four months after and five months before COVID-19 treatment. CONCLUSION: Individuals with COVID-19 who required hospital treatment had considerably higher healthcare resource utilisation in the short-term, before and after the treatment. These findings indicated that the total cost of treating COVID-19 patients might include the pre- and post-acute period.

Using orthopaedic health care resources efficiently: A cost analysis of day surgery for unicompartmental knee replacement.

BACKGROUND: Day surgery for unicompartmental knee replacement (UKR) could potentially reduce hospital costs. We aimed to measure the impact of introducing a day surgery UKR pathway on mean length of stay (LOS) and costs for the UK NHS, compared to an accelerated inpatient pathway. Secondly, the study aimed to compare the magnitude of costs using three costing approaches: top-down costing; simple micro-costing; and real-world costing. METHODS: We conducted an observational, before-and-after study of 2,111 UKR patients at one NHS hospital: 1,094 patients followed the day surgery pathway between September 2017 and February 2020; and 1,017 patients followed the accelerated inpatient pathway between September 2013 and February 2016. Top-down costs were estimated using Average NHS Costs. Simple micro-costing used the cost per bed-day. Real-world costs for this centre were estimated by costing actual changes in staffing levels. RESULTS: 532 (48.5%) patients in the day surgery pathway were discharged on the day of surgery compared with 36 (3.5%) patients in the accelerated inpatient pathway. The day surgery pathway reduced the mean LOS by 2.2 (95% CI: 1.81, 2.53) nights and was associated with an 18% decrease in Average NHS Costs (p < 0.001). Mean savings were £1,429 per patient with the Average NHS Costs approach, £905 per patient with the micro-costing approach, and £577 per patient with the "real-world" costing approach. Overall, moving NHS UKR surgeries to a day surgery pathway could save the NHS £8,659,740 per year. CONCLUSION: Day surgery for UKR could produce substantial cost savings for hospitals and the NHS.

Cost and time of hospitalization for elderly people with bone fractures in a reference hospital.

OBJECTIVE: To describe and analyze the aspects regarding the cost and length of stay for elderly patients with bone fractures in a tertiary reference hospital. METHODS: A cross-sectional retrospective study using data obtained from medical records between January and December 2020. For statistical analysis, exploratory analyses, Shapiro-Wilk test, χ2 test, and Spearman correlation were used. RESULTS: During the study period, 156 elderly patients (62.2% women) with bone fractures were treated. The main trauma mechanism was a fall from a standing height (76.9%). The most common type of fracture in this sample was a transtrochanteric fracture of the femur, accounting for 40.4% of cases. The mean length of stay was 5.25 days. The total cost varied between R$2,006.53 and R$106,912.74 (average of R$15,695.76) (updated values). The mean daily cost of hospitalization was R$4,478.64. A positive correlation was found between the length of stay and total cost. No significant difference in cost was observed between the two main types of treated fractures. CONCLUSION: Fractures in the elderly are frequent, resulting in significant costs. The longer the hospital stay for treatment, the higher the total cost. No correlation was found between total cost and number of comorbidities, number of medications used, and the comparison between the treatment of transtrochanteric and femoral neck fractures.

Epidemiology of Acute Respiratory Failure in US Children: Outcomes and Resource Use.

OBJECTIVE: Acute respiratory failure recalcitrant to conventional management often requires specialized organ-supportive technologies to optimize outcomes. Variation in the availability of these technologies prompted testing of the hypothesis that outcomes and resource use will vary by not only patient characteristics but also hospital characteristics and receipt of organ-supportive technology. METHODS: Retrospective study of children 0 to 20 years old hospitalized for acute respiratory failure using the 2019 Kids' Inpatient Database. Multivariable regression models identified factors associated with mortality, length of hospitalization, and costs. RESULTS: Of an estimated 75 365 hospitalizations nationally, 97% were to urban teaching hospitals, 57% were of children < 6 years, and 58% were of males. Complex chronic conditions (CCC) existed in 62%, multiorgan dysfunction in 35%, and extreme illness severity in 54%. Mortality was 7%, length of stay 15 days, and hospital costs $77 168. Elevated mortality was associated with cumulative organ dysfunction (odds ratio [OR]:2.31, 95% confidence interval [CI]: 2.22-2.42), CCC (OR: 5.49, 95% CI: 4.73-6.37), transfer, higher illness severity, and cardiopulmonary resuscitation. Lower mortality was associated with extracorporeal membrane oxygenation (OR: 0.36, 95% CI: 0.28-0.47) and new tracheostomy (OR: 0.30, 95% CI: 0.25-0.35). Longer hospitalization was associated with transfer, infancy, CCC, higher illness severity, cumulative organ dysfunction, and urban hospitals. Higher costs accrued with noninfants, cumulative organ dysfunction, private insurance, and urban teaching hospitals. CONCLUSIONS: Hospitalizations for pediatric acute respiratory failure incurred substantial mortality and resource consumption. Efforts to reduce mortality and resource consumption should address interhospital transfer, access to organ-supportive technology, and drivers of higher severity-adjusted resource consumption at urban hospitals.

Economic evaluation of the hospitalist care model in an acute medical unit: a benefit-cost analysis.

OBJECTIVE: This study aimed to assess the economic efficiency of the acute medical unit (AMU) hospitalist care model, utilising patient outcomes (length of hospital stay, emergency department (ED)-length of hospital stay, in-hospital mortality) from a previous investigation. DESIGN: A retrospective cohort study was conducted using benefit-cost analysis from a societal perspective. Data relating to clinical factors, outcomes and medical costs were obtained from the electronic medical record database at our institution. Literature-based costing was applied to determine direct non-medical costs and indirect costs that could not be obtained directly. SETTING: A tertiary care hospital in the Republic of Korea. PARTICIPANTS: We evaluated 6391 medical inpatients admitted through the ED from 1 June 2016 to 31 May 2017. INTERVENTIONS: The study compared multiple types of costs and benefits among inpatients from the ED between a non-hospitalist group and an AMU hospitalist group. Results This investigation found a significant reduction in medical costs and total costs in the AMU hospitalist group compared to the non-hospitalist group (30% reduction, 95% CI: 27.6-32.1%, P=0.000; 29.3% reduction, 95% CI: 27.0-31.5%, P=0.000; respectively). Furthermore, significant reductions in direct and indirect costs were found in the AMU hospitalist group compared to the non-hospitalist group (28.6% reduction, 95% CI: 26.6-30.5%, P=0.000; 23.3% reduction, 95% CI: 20.9-25.5%, P=0.000; respectively). The net-benefit and benefit-cost ratio (BCR) of the AMU hospitalist care group were US $6846 and 1.33 per patient admission, respectively. CONCLUSIONS: The AMU hospitalist care model was associated with remarkable reductions in multiple costs. The results of the sensitivity analysis indicated that the net-benefit estimates of AMU hospitalist care were similar to the baseline estimates. Thus, the overall net-benefit of AMU hospitalist care was found to be largely positive.

Acute ischemic stroke in young adults: comparative analysis of outcomes and mortality in metabolically healthy obese or overweight vs. non-obese or overweight hospitalizations, 2016-2019 cohort.

INTRODUCTION: Rising obesity rates and the increasing prevalence of stroke in the metabolically healthy obese and overweight (MHOO) necessitate examining its association in younger (18-44 year) populations and analyzing acute ischemic stroke (AIS) trends and outcomes in MHOO vs. metabolically healthy non-obese or overweight (MHnOO). METHODS: Data from the United States National Inpatient Sample (2016-2019) was analyzed to identify young MHOO and MHnOO AIS patients using ICD-10-CM codes. Metabolically healthy status was defined by excluding hospitalization records with diagnostic codes for hypertension, diabetes, and dyslipidemia. Demographics, trends, and outcomes were compared using appropriate statistical approaches. RESULTS: Of 26,949,310 young metabolically healthy hospitalizations between 2016 and 2019, 47,795 had AIS, of which 4,985 were MHOO and 42,810 were MHnOO. The median age of AIS hospitalization was 35 years, and primarily female and white. From 2016 to 2019, AIS incidence rose slightly, which was significant only for the MHnOO cohort. The in-hospital mortality rate was significantly lower in the MHOO cohort (6.0 % vs. 8.6 %, p < 0.001). Hospitalization length and cost did not differ substantially between groups. Adjusted multivariable analysis revealed no significant difference in AIS hospitalization risk between MHOO and MHnOO (aOR: 1.02, p=0.701), with subgroup analysis in males (aOR: 0.88, p=0.161) or females (aOR: 1.06, p=0.363). However, all-cause in-hospital mortality (ACIHM) in AIS had lower odds in the MHOO vs. MHnOO cohorts (aOR: 0.60, p=0.021). CONCLUSION: Our study finds a rising trend of AIS hospitalizations in young metabolically healthy adults, with obesity or overweight status not being associated with AIS hospitalization. We identify an "obesity paradox" of lower odds for ACIHM for AIS hospitalizations in the MHOO cohort.

Cost of cardiovascular disease events in patients with and without type 2 diabetes and factors influencing cost: a retrospective cohort study.

BACKGROUND: Cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM) are non-communicable diseases that impose a significant economic burden on healthcare systems, particularly in low- and middle-income countries. The purpose of this study was to evaluate the hospital treatment cost for cardiovascular disease events (CVDEs) in patients with and without diabetes and identify factors influencing cost. METHOD: We conducted a retrospective, cross-sectional study using administrative data from three public tertiary hospitals in Malaysia. Data for hospital admissions between 1 March 2019 and 1 March 2020 with International Classification of Diseases 10th Revision (ICD-10) codes for acute myocardial infarction (MI), ischaemic heart disease (IHD), hypertensive heart disease, stroke, heart failure, cardiomyopathy, and peripheral vascular disease (PVD) were retrieved from the Malaysian Disease Related Group (Malaysian DRG) Casemix System. Patients were stratified by T2DM status for analyses. Multivariate logistic regression was used to identify factors influencing treatment costs. RESULTS: Of the 1,183 patients in our study cohort, approximately 60.4% had T2DM. The most common CVDE was acute MI (25.6%), followed by IHD (25.3%), hypertensive heart disease (18.9%), stroke (12.9%), heart failure (9.4%), cardiomyopathy (5.7%) and PVD (2.1%). Nearly two-thirds (62.4%) of the patients had at least one cardiovascular risk factor, with hypertension being the most prevalent (60.4%). The treatment cost for all CVDEs was RM 4.8 million and RM 3.7 million in the T2DM and non-T2DM group, respectively. IHD incurred the largest cost in both groups, constituting 30.0% and 50.0% of the total CVDE treatment cost for patients with and without T2DM, respectively. Predictors of high treatment cost included male gender, non-minority ethnicity, IHD diagnosis and moderate-to-high severity level. CONCLUSION: This study provides real-world cost estimates for CVDE hospitalisation and quantifies the combined burden of two major non-communicable disease categories at the public health provider level. Our results confirm that CVDs are associated with substantial health utilisation in both T2DM and non-T2DM patients.

Center-level variation in hospitalization costs of pancreaticoduodenectomy for pancreatic cancer.

BACKGROUND: Pancreaticoduodenectomy is a highly morbid operation with significant resource utilization. Using a national cohort, we examined the interhospital variation in pancreaticoduodenectomy hospitalization cost in the United States. METHODS: Adults undergoing elective pancreaticoduodenectomy in the setting of pancreatic cancer were tabulated from the 2016-2020 Nationwide Readmissions Database. A 2-level mixed-effects model was developed to evaluate the interhospital variation in pancreaticoduodenectomy hospitalization costs. Institutions within the top decile of risk-adjusted expenditures were defined as high-cost hospitals. Multivariable regression models were fitted to examine the association between high-cost hospital status and outcomes of interest. To account for the effects of complications on expenditures, a subgroup analysis comprising of patients with no adverse events was conducted. RESULTS: The study included an estimated 24,779 patients with a median hospitalization cost of $38,800. After mixed-effects modeling, 40.9% of the cost variation was attributable to hospital, rather than patient, factors. Multivariable regression models revealed an association between high-cost hospital status and greater odds of complications and longer length of stay. Among patients without an adverse event, interhospital cost variation remained significant at 61.0%, and treatment at high-cost hospitals was similarly linked to longer length of stay. CONCLUSION: Our study identified significant interhospital variation in pancreaticoduodenectomy hospitalization costs in the United States. Although high-cost hospital status was associated with increased odds of complications, variation remained significant even among patients without an adverse event. These results suggest the important role of hospital practices as contributors to expenditures. Further efforts to identify drivers of costs and standardize pancreatic surgical care are warranted.

Characteristics of low, moderate and high severity trauma hospitalisations in a health region of Aotearoa New Zealand-10-year review.

AIM: To describe the incidence, characteristics, outcomes and hospital costs of patients admitted to hospital following trauma in a health region in Aotearoa New Zealand over a 10-year period. METHODS: A retrospective, observational study used data from the Te Manawa Taki (TMT) regional trauma registry to identify patients of all ages and injury severities that were admitted to hospital following injuries from 2013 to 2022, inclusive. This study reports on incidence of injuries with regard to age, gender, ethnicity, injury severity score (ISS), injury characteristics and direct cost to TMT facilities. RESULTS: Searches identified 60,753 trauma events leading to patient admission to hospitals in the TMT region. Of these, 81.9% were low-severity trauma, 10.2% were moderate-severity trauma and 7.9% were high-severity trauma. There were statistically significant relationships between gender, ethnicity and ISS category. Males were more likely to be hospitalised for any traumatic injuries. High-severity trauma is dominated by road traffic injuries and low-severity trauma is dominated by falls. Advanced age was associated with higher injury severity. The direct cost of trauma care to TMT hospitals increased by 122% during the 10-year period. CONCLUSIONS: The study has identified the incidence, demographic features, severity, costs and outcomes for trauma patients admitted to hospitals in the TMT region of Aotearoa New Zealand over a continuous 10-year period. The volumes and costs of injury represent a significant burden on the health system, individuals and communities. Detailed understanding of the causes and costs of injuries of all severities will inform prevention activities, clinical quality improvement and health service planning.