Hospital Cost Analysis Research Articles

Analysis of hospitalization costs in adult inguinal hernia: based on quantile regression model.

Inguinal hernia repair is a common surgical procedure with significant variability in hospitalization costs. Traditional cost analysis methods often overlook the distribution of costs across patient demographics and clinical factors. This study employs a quantile regression model to explore the determinants of hospitalization costs for adult inguinal hernia surgery, providing a detailed understanding of cost variations across different quantiles. We analyzed data from adult patients who underwent inguinal hernia surgery at Beijing Chaoyang Hospital from January 2015 to June 2023. The study included patient demographics, hernia-related information, surgery-related details, and cost-related data. A quantile regression model was used to assess the impact of various factors on hospitalization costs at different quantiles (10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%). Data were processed using StataSE 15.0 software. Our study included 16,602 patients, predominantly male (91.86%) and Han Chinese (96.48%), with the 51-64 years age group being the largest (26.80%). The quantile regression analysis revealed significant cost variations across different quantiles. Younger patients incurred higher costs, with age coefficients ranging from -40.541 at the 90th quantile to -3.082 at the 10th quantile. Uninsured patients faced higher costs, with coefficients from 214.747 at the 80th quantile to 501.78 at the 10th quantile. Longer hospital stays correlated with increased costs, with coefficients from 342.15 at the 80th quantile to 405.613 at the 90th quantile. Patients hospitalized multiple times(≥3) had lower costs, with coefficients from-767.353 at the 40th quantile to -311.575 at the 80th quantile. Comorbidities significantly raised costs, with coefficients for three or more comorbidities ranging from806.122 at the80th quantile to1,456.02 at the40th quantile. Laparoscopic surgery was more expensive than open surgery, with coefficients from 1,834.206 at the 80th quantile to 2,805.281 at the 10th quantile. Bilateral surgeries and the use of biological mesh also resulted in higher costs, with coefficients for bilateral surgeries ranging from 1,067.708 at the 10th quantile to 2,871.126 at the 90th quantile and for biological mesh from 3,221.216 at the 40th quantile to 6,117.598 at the 90th quantile. Hospitalization costs for inguinal hernia surgery are influenced by multiple factors, with significant variations across different patient groups. Strategies to control costs should be tailored to address the specific needs of patients, optimize surgical methods, and improve perioperative care. Future research should extend these findings across different healthcare settings and consider the latest advancements in medical technology and policy changes.

A study on the introduction of mixed payment compensation system through top-down cost information analysis in Korea

This study aims to identify the problems of the Korean health insurance fee system and to suggest a reasonable insurance fee construction alternative using the cost analysis data of hospitals. To this end, the characteristics of the medical fee payment system and hospital cost analysis were examined, and the cost data of one national public general hospital were used for the analysis. The cost allocation criteria were divided into labor costs, material costs, pharmaceutical costs, equipment costs, and overhead costs, and a top-down cost analysis was conducted. The analysis results showed that the cost was greater than the income in the case of outpatient and inpatient treatment performance, and the analysis results on the amount of physician workload showed that the relative value of physician workload calculated based on the cost was analyzed to require an increase of 1.52 times for hospitalization fees and 1.72 times for examination fees. The main factor affecting the cost compensation rate was that when the proportion of examination fees was high, the cost compensation level increased, while on the other hand, the cost compensation rate decreased as the proportion of physician labor costs increased or the length of stay increased. In order to resolve the ongoing complaints of medical service providers under the current fee-for-service system and secure the appropriateness of health insurance compensation rates, compensation for physician fees should be induced to realize the level of cost compensation through cost-based, per-service fee calculations, and the rationality of the payment compensation system can be secured by securing autonomy of providers through bundled fees for hospital costs and changing the payment method.

Robotic-assisted total knee arthroplasty reduces postoperative complications and length of stay without increased cost compared to navigation-guided techniques: A national analysis.

This study compares postoperative outcomes of robotic-assisted total knee arthroplasty (RA-TKA) versus navigation-guided total knee arthroplasty (NG-TKA). Using Nationwide Inpatient Sample (NIS) data, it provides an analysis of postoperative complications, mortality, hospital costs and duration of stay. The study analysed 217,715 patients (81,830 RA-TKA; 135,885 NG-TKA) using NIS data from 2016 to 2019. Elective TKA patients were identified through the International Classification of Diseases, 10th Revision codes. Statistical analyses, including logistic regression modelling, were performed using Statistical Package for the Social Sciences and MATLAB. RA-TKA patients were younger (66.1 vs. 67.1 years, p < 0.0001) and had similar mortality rates (0.024% vs. 0.018%, p = 0.342) but shorter length of stay (LOS) (1.89 vs. 2.1 days, p < 0.0001). Mean total charges were comparable between RA-TKA ($66,180) and NG-TKA ($66,251, p = 0.669). RA-TKA demonstrated lower incidences of blood-related complications (11.67% vs. 14.19%, p < 0.0001), pulmonary oedema (0.0306% vs. 0.066%, p < 0.0001), deep vein thrombosis (0.196% vs. 0.254%, p = 0.006) and acute kidney injury (AKI) (1.356% vs. 1.483%, p = 0.016). RA-TKA reduces postoperative complications and LOS without increasing costs, highlighting the relevance of this technology in patient care. Level III.

Retrospective analysis of hospitalization costs using two payment systems: the diagnosis related groups (DRG) and the Queralt system, a newly developed case-mix tool for hospitalized patients

BackgroundHospital services are typically reimbursed using case-mix tools that group patients according to diagnoses and procedures. We recently developed a case-mix tool (i.e., the Queralt system) aimed at supporting clinicians in patient management. In this study, we compared the performance of a broadly used tool (i.e., the APR-DRG) with the Queralt system.MethodsRetrospective analysis of all admissions occurred in any of the eight hospitals of the Catalan Institute of Health (i.e., approximately, 30% of all hospitalizations in Catalonia) during 2019. Costs were retrieved from a full cost accounting. Electronic health records were used to calculate the APR-DRG group and the Queralt index, and its different sub-indices for diagnoses (main diagnosis, comorbidities on admission, andcomplications occurred during hospital stay) and procedures (main and secondary procedures). The primary objective was the predictive capacity of the tools; we also investigated efficiency and within-group homogeneity.ResultsThe analysis included 166,837 hospitalization episodes, with a mean cost of € 4,935 (median 2,616; interquartile range 1,011–5,543). The components of the Queralt system had higher efficiency (i.e., the percentage of costs and hospitalizations covered by increasing percentages of groups from each case-mix tool) and lower heterogeneity. The logistic model for predicting costs at pre-stablished thresholds (i.e., 80th, 90th, and 95th percentiles) showed better performance for the Queralt system, particularly when combining diagnoses and procedures (DP): the area under the receiver operating characteristics curve for the 80th, 90th, 95th cost percentiles were 0.904, 0.882, and 0.863 for the APR-DRG, and 0.958, 0.945, and 0.928 for the Queralt DP; the corresponding values of area under the precision-recall curve were 0.522, 0.604, and 0.699 for the APR-DRG, and 0.748, 0.7966, and 0.834 for the Queralt DP. Likewise, the linear model for predicting the actual cost fitted better in the case of the Queralt system.ConclusionsThe Queralt system, originally developed to predict hospital outcomes, has good performance and efficiency for predicting hospitalization costs.

EE381 Comparative Analysis of Patient Outcomes and Hospital Costs: Robotic-Assisted Surgery Versus Conventional Laparoscopic Surgery Across Five Procedures

EE381 Comparative Analysis of Patient Outcomes and Hospital Costs: Robotic-Assisted Surgery Versus Conventional Laparoscopic Surgery Across Five Procedures

How Has the Treatment of Polish Children with Dravet Syndrome Changed? Future Perspectives.

This report focuses on the treatment histories of 21 patients diagnosed with Dravet syndrome (DRVT) under the care of the Mother and Child Institute in Warsaw. This paper aims to present typical treatment schemes for patients with drug-resistant epilepsy, as well as to highlight the influence of genetic diagnosis on pharmacotherapeutic management and to present an economic analysis of hospitalization costs. This paper will also summarize the effectiveness of the latest drugs used in DRVT. Clinical data were collected retrospectively from available medical records. The effectiveness of anticonvulsant treatment was assessed based on epileptic seizure diaries and observations by caregivers and pediatric neurologists. The study group (n = 21) consisted of patients aged 3-26 years. Orphan drugs dedicated to Dravet syndrome were introduced in all patients due to the genetic diagnosis, which significantly improved the patients' clinical conditions. The breakthrough drugs were stiripentol (in 16/21) and fenfluramine (in 3/21). In recent years, molecular genetics has rapidly developed in Poland, along with a steady increase in knowledge of Dravet syndrome among the medical profession. Early and precise diagnosis provides the opportunity to target treatment with drugs dedicated to Dravet syndrome with high efficacy.

Analysis of Hospitalization Costs and Influencing Factors of AKI in Adult Patients

Objective: To investigate the economic burden of patients with acute kidney injury (AKI) by analyzing the distribution of hospitalization expenses and its influencing factors in the Affiliated Hospital of Hebei University. Methods: The hospitalization information of patients with AKI from January 2020 to January 2023 was collected and sorted through the hospital charging system and the factors affecting the total hospitalization cost were analyzed by multiple linear regression. Results: Univariate analysis showed that age, occupation, marriage, length of hospitalization, recovery of renal function, and stage of AKI had significant effects on hospitalization cost (P &lt; 0.05). The result of the multiple linear regression analysis model showed that age (t = 4.11, P &lt; 0.0001), length of hospitalization (t = 16.10, P &lt; 0.0001), recovery of renal function (t = 3.26, P &lt; 0.0001), AKI stage (t = 5.23, P = 0.002) are factors affecting the economic burden of patients with AKI. Conclusion: AKI patients should be managed according to age stratification to effectively control the progression of the disease and improve the quality of the medical services provided. This will reduce the economic burden of patients.

Distributive justice and equity in resource allocation: a temporal analysis of hospitalization costs in indigenous populations in Brazil

IntroductionIn Brazil, a country of continental dimensions, the health needs of each region have an impact. In this context and the name of the principle of equity, the SUS organizes actions especially aimed at social groups such as the elderly, children, pregnant women, and indigenous peoples. The concept of justice proposed by John Rawls is one of equity, which is essential to this country.MethodsThis is an ecological, descriptive study, which analyzed hospital spending on cardiovascular diseases in the Unified Health System (SUS) among the indigenous elderly population and other ethnicities/colors in Brazil, between 2010 and 2019.ResultsHospitalization costs and fatality rates for indigenous populations and other colors/ethnicities, between 2010 and 2019, were evaluated. A reduction in hospitalization costs for the indigenous population and an increase in other populations was observed throughout the historical series, while there was an increase in fatality rates for both groups. A comparison was made between hospitalization costs and the fatality rates of indigenous populations and other colors/ethnicities according to sex, between 2010 and 2019. It was observed that regardless of sex, there are significant differences (p<0.05) between hospitalization costs and fatality rates, with higher costs for patients of other colors/ethnicities and higher fatality rates for the indigenous population.ConclusionsHospitalization costs due to cardiovascular diseases in elderly people from indigenous populations were lower compared to other ethnicities in most federative units, which may suggest an unequal allocation of resources or access for this indigenous population to the SUS. Although there is no strong correlation between spending on hospital admissions and fatality rates, it was found that these rates increased between 2010 and 2019, while spending was reduced.

Robotic-Assisted Versus Traditional Full-Sternotomy Coronary Artery Bypass Grafting Procedures: A Propensity-Matched Analysis of Hospital Costs

We aim to compare hospital costs of robotic-assisted coronary artery bypass grafting (CABG) versus conventional CABG. All consecutive 1,173 patients who underwent conventional and robotic-assisted CABG between January 2018 and June 2021 were included. After propensity-matching, 267 patients in each group (robotic-assisted vs conventional) were included in the study. Patient selection for each group was decided by a treating surgeon with a heart team based on clinical factors. Syntax score was not assessed. Total costs (direct+indirect hospital costs) of patients who underwent robotic-assisted and conventional CABG were compared. Direct cost expenses included surgical operating time, hospital stay, surgical implants and supplies, catheterization laboratory, pharmacy, radiology and ultrasound imaging, blood bank, cardiology, and so on. Indirect cost expenses included general administration medical records, and so on. Using the propensity-matched groups (n=267), we summed the total cost by year. Results for 267 propensity-matched patients (each group) evidenced that total conventional CABG costs were $9.5 million (average of $35,580/patient), whereas robotic-assisted CABG costs were $5 million ($18,726/patient). Therefore, the differences between robotic-assisted and conventional CABG costs were $4.5 million ($16,853/patient), favoring robotic-assisted over conventional CABG. Differences in direct and indirect costs were $2.2 million and $1.8 million, respectively. When the cost of the Da Vinci robot was added ($1,200,000), the total cost was $3.3 million ($12,359×patient) lower in the robotic-assisted CABG group. Multivariate analysis showed that, mainly, the shorter hospital length of stay (7 vs 5days) accounts for the reduced costs observed in the robotic-assisted CABG group. In conclusion, in a mature practice, robotic-assisted CABG decreases hospital length of stay, leading to reduced hospital costs compared with conventional CABG.

Abstract 18420: Appropriateness and Cost Analysis of Adult Inpatient Transthoracic Echocardiograms in a Community Hospital

Introduction: Although inpatient transthoracic echocardiograms (TTEs) are important for guiding patient management, their overuse could be a concern leading to delayed discharges, unnecessary burden on hospital staff, and increased hospital costs. We analyzed the appropriateness, benefits, cost expenditure and unnecessary burden of TTE testing. Methods: A retrospective cohort analysis of a subset of patients undergoing TTEs in 2022 from a community hospital was performed. Appropriateness of use criteria (AUC) in accordance with American Society of Echocardiography and alteration in medical management was evaluated by 3 independent reviewers. Hospital cost analysis was performed based on median TTE cost ($682), yearly total adult TTEs performed (n=4,636), AUC criteria, and alteration in management under Maryland all-payer insurance model. Results: In 234 TTEs matched by age, gender, and race, AUC was not met in 32.5% of patients. Most TTEs were indicated for LV function assessment and ACS (Figure). Change in management was significantly higher in patients who met vs. not meeting AUC (54 vs. 11%, p&lt;0.001). In patients meeting AUC, men had a higher change in management compared to women (61 vs. 46%, p = 0.05). No significant differences were found in the percentage of patients who benefitted from inpatient TTE by subgroups based on indications, except for cardiac trauma. Inappropriate TTE testing led to a yearly loss of approximately $313,000 in hospital revenue and an additional loss of $150,000/year for every 5% of patients who meet AUC with no alteration in medical management. Conclusion: In this community hospital analysis, nearly one-third of adult inpatient TTEs were obtained outside the recommendations of established guidelines. Strategies to improve adherence to ASE guidelines and patient selection for TTE testing are warranted to reduce unnecessary resource utilization and healthcare costs.

Patient outcomes and cost in robotic emergency general surgery.

The use of robotic technology in general surgery continues to increase, though its utility for emergency general surgery remains under-studied. This study explores the current trends in patient outcomes and cost of robotic emergency general surgery (REGS). The Florida Agency for Healthcare Administration database (2018-2020) was queried for adult patients undergoing intra-abdominal emergency general surgery within 24h of admission and linked to CMS Cost Reports/Hospital Compare, American Hospital Association, and Rand Corporation Hospital datasets. Patients from the four most common REGS procedures were propensity matched to laparoscopic equivalents for hospital cost analysis. A telephone survey was performed with the top 10 REGS hospitals to identify key qualities for successful REGS programs. 181 hospitals (119 REGS, 62 non-REGS) performed 60,733 emergency surgeries. Six-percent were REGS. The most common REGS were cholecystectomy, appendectomy, inguinal and ventral hernia repairs. Before and after propensity matching, total cost for these four procedures were significantly higher than their laparoscopic equivalents, which was due to higher surgical cost as the non-operative costs did not differ. There were no differences in mortality, individual complications, or length of stay for most of the four procedures. REGS volume significantly increased each year. The survey found that 8/10 hospitals have robotic-trained staff available 24/7. Although REGS volume is increasing in Florida, cost remains significantly higher than laparoscopy. Given higher costs and lack of significantly improved outcomes, further study should be undertaken to better inform which specific patient populations would benefit from REGS.

TCT-450 Robotic-Assisted vs Traditional Coronary Artery Bypass Grafting Procedures: A Propensity-Matched Analysis of Hospital Costs

TCT-450 Robotic-Assisted vs Traditional Coronary Artery Bypass Grafting Procedures: A Propensity-Matched Analysis of Hospital Costs

A retrospective hospital benefit and cost analysis of the management of human tissues for orthopaedic allografts

ObjectivesThe transplantation of human tissues is a greatly expanding field of medicine with unquestionable benefits that raise questions about safety, quality and ethics. Since 1 October 2019, the Fondazione Banca...

Cost Analysis of Hospitalization for COVID-19 in a Brazilian Public Teaching Hospital

ObjectivesThis study aimed to measure the hospitalization costs for suspect or confirmation cases of COVID-19 and aggregate knowledge in the costing process for future research on related topics. MethodsA cost calculation model was applied using absorption costing technique. Cost was allocated into 2 main groups: hospitalization and personnel. The cost analysis considers the hospital perspective. This is a retrospective study whose data were collected between April and September 2020, equivalent to the first wave of the disease in Brazil. This research uses data from Hospital Information System, Brazilian Unified Health System (SUS) Cost Calculation and Management System, and SUS Hospital Information System. ResultsThe average total cost per hospitalization was US$11 260 (R$63 504) for patients suspect or confirmed by COVID-19, and considering only detectable cases, the value was US$17 178 (R$96 886). The profile of hospitalized patients was male (51%), with a mean age of 59 years, white ethnicity (64%), and average length of stay of 9 days. ConclusionsThe amount approved by SUS for remuneration of hospitalizations by COVID-19 proved to be insufficient to cover the calculated costs. The results of this study collaborate to measure the expenditure of hospital institutions with COVID-19 hospitalizations, contribute as a parameter for health managers to identify whether the values attributed to hospitalization by COVID-19 by the SUS are adequate to cover all costs involved, and provide lessons learned on costs to the public health system in the event of new pandemics.

Analysis of Hospitalization Costs in Patients Suffering from Cerebral Infarction along with Varied Comorbidities.

This study aimed to study the influence of comorbidities on hospitalization costs for inpatients with cerebral infarction. The data from the medical records pertaining to 76,563 inpatients diagnosed with cerebral infarction were collected from public hospital records for the period between 1 January 2020 and 30 December 2020 in Gansu Province. EpiData 3.1 software was used for data collation, and SPSS 25.0 was used for data analysis. Numbers and percentages were calculated for categorical variables, the chi-squared test was used to compare differences between groups, and multiple independent-sample tests (Kruskal-Wallis H test, test level α = 0.05) and multiple linear regression were used to analyze the influence of different types of comorbidity on hospitalization costs. Among the 76,563 cerebral infarction inpatients, 41,400 were male (54.07%); the average age of the inpatients was 67.68 ± 10.75 years (the 60~80-year-old group accounted for 65.69%). Regarding the incidence of varied chronic disease comorbidities concomitant with cerebral infarction, hypertension was reported as the most frequent, followed by heart disease and chronic pulmonary disease. The average hospitalization cost of cerebral infarction inpatients is US $1219.66; the hospitalization cost increases according to the number of comorbidities with which a patient suffers (H = 404.506, p &lt; 0.001); Regarding the types of comorbidities, the hospitalization cost of cancer was the highest, at US $1934.02, followed by chronic pulmonary disease (US $1533.02). Regarding the cost of hospitalization for combinations of comorbidities, cerebral infarction + chronic pulmonary disease was the most costly (US $1718.90), followed by cerebral infarction + hypertension + chronic pulmonary disease (US $1530.60). In the results of multiple linear regression analysis, cerebral infarction with chronic pulmonary disease had significant effects on hospitalization costs (β = 0.181, p &lt; 0.001), drug costs (β = 0.144, p &lt; 0.001) and diagnosis costs (β = 0.171, p &lt; 0.001). Comorbidities are significantly associated with high hospitalization costs for cerebral infarction patients. Furthermore, relevant health departments should build preventative and control systems to reduce the risk of comorbidities, as well as to improve hospital clinical pathway management and to strengthen and refine the cost-control management of cerebral infarction from the perspective of comorbidities.

The cost of CIED infectious complications treatment in Poland from the perspective of Polish hospitals.

Cardiac implantable electronic devices (CIED) are a recognized form of therapy in cardiology. Apart from the benefits, the use of CIEDs is also associated with the risk of complications, and the most important ones influencing treatment results and prognosis are infectious complications. This study aimed to calculate the cost of treatment of CIED-related infections, including transvenous lead extraction and device reimplantation, from the perspective of a Polish hospital. A retrospective analysis of hospitalization costs of patients referred to transvenous lead extraction (TLE) for CIED infection was performed. The study covers cases from three Polish reference centers specializing in the comprehensive treatment of cardiac electrotherapy complications. It was shown that the average cost of treating a CIED infection is 34 000 PLN (8010 EUR) and is the highest in the cardiac resynchronization therapy with defibrillator function (CRT-D) group, where it amounts to almost 50 000 PLN (11 440 EUR). Thus, treatment of CIED infections is associated with an average loss of 3000 PLN for the healthcare provider and the length of hospitalization has a major influence on final outcomes. The hospital cost of treatment of CIED-related infections was high and related mainly to the type of device and length of hospitalization. Despite the low utilization of costly extraction tools, the hospitalization was still likely to be unprofitable.

Cost of Follow Up After Endovascular Abdominal Aortic Aneurysm Repair in Patients With an Initial Post-Operative Computed Tomography Angiogram Without Abnormalities

The Observing a Decade of Yearly Standardised Surveillance in EVAR patients with Ultrasound or CT Scan (ODYSSEUS) study was conducted to assess differences in outcomes of patients with continued or discontinued yearly follow up after endovascular abdominal aortic aneurysm repair (EVAR). Earlier results of this study showed that discontinued follow up was not associated with poor outcomes. Therefore, an incremental cost analysis and budget impact analysis of de-implementation of yearly imaging following EVAR was performed. In total, 1 596 patients from the ODYSSEUS study were included. The expected cost savings were assessed if yearly imaging was reduced in patients with a post-operative computed tomography angiogram without abnormalities made around 30 days after EVAR. Costs were derived from the Dutch costs manual, benchmark cost prices, and literature review. Costs were expressed in euros (€) and displayed at 2019 prices. Sensitivity analysis was performed by varying costs. A difference of 24% in cost was found between patients with continued and discontinued imaging follow up. The cost per patient was €1 935 in the continued group vs. €1 603 per patient in the discontinued group at five years post-EVAR, with a mean difference of €332 (95% bias corrected and accelerated bootstrap confidence interval -741 to 114). De-implementation of yearly imaging would result in an annual nationwide cost saving of €678 471. Sensitivity analysis with variation in adherence rates, imaging, or secondary intervention costs resulted in a saving of at least €271 388 per year. This study provided an in depth analysis of hospital costs for post-EVAR patients in the Netherlands with a modest impact on the Dutch healthcare budget.

A085 Cost analysis of Diabetes-Related Hospitalization in Patients with Obesity After Bariatric Surgery

A085 Cost analysis of Diabetes-Related Hospitalization in Patients with Obesity After Bariatric Surgery

Analysis of hospital costs by morbidity group for patients with severe mental illness

Objectives The goal of this study is to analyse hospital costs and length of stay of patients admitted to psychiatric units in hospitals in a European region of the Mediterranean Arc. The aim is to identify the effects of comorbidities and other variables in order to create an explanatory cost model. Methods In order to carry out the study, the Ministry of Health was asked to provide data on access to the mental health facilities of all hospitals in the region. Among other questions, this database identifies the most important diagnostic variables related to admission, like comorbidities, age and gender. The method used, based on the Manning–Mullahy algorithm, was linear regression. The results were measured by the statistical significance of the independent variables to determine which of them were valid to explain the cost of hospitalization. Results Psychiatric inpatients can be divided into three main groups (psychotic, organic and neurotic), which have statistically significant differences in costs. The independent variables that were statistically significant (p <.05) and their respective beta and confidence intervals were: psychotic group (19,833.0 ± 317.3), organic group (9,878.4 ± 276.6), neurotic group (11,060.1 ± 287.6), circulatory system diseases (19,170 ± 517.6), injuries and poisoning (21,101.6 ± 738.7), substance abuse (20,580.6 ± 514, 6) and readmission (19,150.9 ± 555.4). Conclusions Unlike most health services, access to psychiatric facilities does not correlate with comorbidities due to the specific nature of this specialization. Patients admitted to psychosis had higher costs and a higher number of average stays KEY MESSAGES The highest average hospital expenditure occurred in patients admitted for psychotic disorders. Due to the particularities of psychiatry units and unlike other medical specialties, the number of comorbidities did not influence the number of hospital stays or hospital expenditure. Apart from the main diagnostic group, the variables that were useful to explain hospital expenditure were the presence of poisoning and injuries as comorbidity, diseases of circulatory system as comorbidity, history of substance abuse and readmission.

An Analysis of Hospital Costs for Childhood Cancer Care.

This study used a linked dataset consisting of all childhood cancers recorded over the course of 10 years in New South Wales (NSW), Australia, to evaluate the hospital and emergency department costs (from a payer perspective) and resources used by patients with childhood cancer. We also analyzed determinants responsible for high-frequency hospital admissions, hospital length of stay (LoS), and hospital costs. We analyzed linked data at the individual patient level for a retrospective cohort of 2,966 patients with cancer aged <18 years with a diagnosis date between 2001 and 2012 from the NSW Central Cancer Registry, Australia. We reported costs and use of hospitalization and emergency department presentation 1 year before the date of diagnosis, 1 year after diagnosis, and 2 to 5 years after diagnosis. We also examined the association between cancer types and hospital admission and hospital costs from the payer perspective. Patient characteristics associated with the frequency of hospital admissions, hospital LoS, and hospital costs were also determined using a generalized linear model. Most hospital admission costs occurred in the first year after diagnosis, accounting for >70% of hospital costs within 5 years after diagnosis. The estimated median annual cost of hospitalization in the first year after diagnosis was A$88,964 (interquartile range [IQR], A$34,399-A$163,968) for patients diagnosed at age 0 to 14 years and A$23,384 (IQR, A$5,585-A$91,565) for those diagnosed at age 15 to 17 years. Higher frequency of hospital admissions, hospital LoS, and hospital costs were significantly associated with younger age at cancer diagnosis, cancer metastases, and living in remote/disadvantaged socioeconomic areas. Our study represents one of the first in Australia to include detailed hospitalization cost information for all childhood cancer cases. This study highlights the high hospital use by pediatric patients and the importance of early diagnosis. Our findings also demonstrate the health inequities experienced by patients from remote areas and the lowest socioeconomic areas.