Predictors and components of inpatient asthma hospital cost: A retrospective cohort study. Analysis from a sample of 14 Belgian hospitals.

Background: Addressing the challenges of asthma has involved various approaches, including the examination of costs associated with hospitalization. However, there is a limited number of studies that have investigated the actual expenses incurred by hospital settings in caring for asthma patients. This study aims to describe the costs, predictors, and breakdown of expenditures in different categories. Design and methods: A retrospective cohort study was conducted, involving 314 hospital stays of patients over 12 years old who were admitted for asthma and classified under APR-DRG 141 (asthma). Univariate and multiple linear regression analyses were performed. Results: The median cost, regardless of DRG severity, amounted to 2.314€ (1.550€-3.847€). Significant variations were observed when the sample was stratified based on the severity of DRG, revealing a cost gradient that increases with severity. The length of stay followed a similar trend. Six predictors were identified: age, admission to intensive care, asthma severity, severity level of the DRG, winter admission, and length of stay. The cost breakdown showed that 44% constituted direct costs, 25% were indirect costs, 26% were attributed to medical procedures performed outside the patient unit, and 5% were related to medication administration. Conclusions: This study initiates a discussion on the role of reducing hospital costs in strategies aiming at controlling asthma-related costs. We argue that cost reduction cannot be achieved solely at the hospital level but must be approached from a public health perspective. This includes promoting high-quality outpatient care and addressing factors leading to poor adherence to the care plan.

Daly/Cost comparison in the management of peripheral arterial disease at 17 Belgian hospitals.

OBJECTIVE: Peripheral arterial disease (PAD) is a manifestation of atherosclerosis that affects the lower extremities and afflicts more than 200 million people worldwide. Because of limited resources, the need to provide quality care associated with cost control is essential for health policies. Our study concerns an interhospital comparison among seventeen Belgian hospitals that integrates the weighting of quality indicators and the costs of care, from the hospital perspective, for a patient with this pathology in 2018. METHODS: The disability-adjusted life years (DALYs) were calculated by adding the number of years of life lost due to premature death and the number of years of life lost due to disability for each in-hospital stay. The DALY impact was interpreted according to patient safety indicators. We compared the hospitals using the adjusted values ​​of costs and DALYs for their case mix index, obtained by relating the observed value to the predicted value obtained by linear regression. RESULTS: We studied 2,437 patients and recorded a total of 560.1 DALYs in hospitals. The in-hospital cost average [standard deviation (SD)] was €8,673 (€10,893). Our model identified the hospitals whose observed values were higher than predicted; six needed to reduce the costs and impacts of DALYs, six needed to improve one of the two factors, and four seemed to have good results. The average cost (SD) for the worst performing hospitals amounted to €27,803 (€28,358). CONCLUSIONS: Studying the costs of treatment according to patient safety indicators permits us to evaluate the entire chain of care using a comparable unit of measurement.

Cost comparisons and factors related to cost per stay in intensive care units in Belgium.

BACKGROUND: Given the variability of intensive care unit (ICU) costs in different countries and the importance of this information for guiding clinicians to effective treatment and to the organisation of ICUs at the national level, it is of value to gather data on this topic for analysis at the national level in Belgium. The objectives of the study were to assess the total cost of ICUs and the factors that influence the cost of ICUs in hospitals in Belgium. METHODS: This was a retrospective cohort study using data collected from the ICUs of 17 Belgian hospitals from January 01 to December 31, 2018. A total of 18,235 adult ICU stays were included in the study. The data set was a compilation of inpatient information from analytical cost accounting of hospitals, medical discharge summaries, and length of stay data. The costs were evaluated as the expenses related to the management of hospital stays from the hospital's point of view. The cost from the hospital perspective was calculated using a cost accounting analytical methodology in full costing. We used multivariate linear regression to evaluate factors associated with total ICU cost per stay. The ICU cost was log-transformed before regression and geometric mean ratios (GMRs) were estimated for each factor. RESULTS: The proportion of ICU beds to ward beds was a median [p25-p75] of 4.7% [4.4-5.9]. The proportion of indirect costs to total costs in the ICU was 12.1% [11.4-13.3]. The cost of nurses represented 57.2% [55.4-62.2] of direct costs and this was 15.9% [12.0-18.2] of the cost of nurses in the whole hospital. The median cost per stay was €4,267 [2,050-9,658] and was €2,160 [1,545-3,221] per ICU day. The main factors associated with higher cost per stay in ICU were Charlson score, mechanical ventilation, ECMO, continuous hemofiltration, length of stay, readmission, ICU mortality, hospitalisation in an academic hospital, and diagnosis of coma/convulsions or intoxication. CONCLUSIONS: This study demonstrated that, despite the small proportion of ICU beds in relation to all services, the ICU represented a significant cost to the hospital. In addition, this study confirms that nursing staff represent a significant proportion of the direct costs of the ICU. Finally, the total cost per stay was also important but highly variable depending on the medical factors identified in our results.

Associations between two nursing workload scales and the cost of intensive care unit nursing staff: A retrospective study of one Belgian hospital.

AIMS: The aim of this study was to assess associations between a general nursing funding scale and an intensive care unit specific nursing workload scale and the cost of nursing staff. BACKGROUND: Nurse staffing represents the most important cost in the intensive care unit, so it is essential to evaluate it accurately. In addition, the assessment of nursing workload is important for the daily management of the intensive care unit and to ensure quality of care. METHODS: This was a retrospective and quantitative study carried out in the intensive care unit of a Belgian hospital. The extraction of data from the Nursing Activities Score and the Minimum Hospital Summary Nursing Dataset were carried out during 2 periods of 15 days, from 1 June 2018 to 15 June 2018 and from 1 September 2018 to 15 September 2018. RESULTS: A total of 234 patients were included in the study. A total of 773 Nursing Activities Score and Minimum Hospital Summary Nursing Dataset recordings were analyzed in the study per intensive care unit day. A strong correlation was observed between Nursing Activities Score and Minimum Hospital Summary Nursing Dataset for the entire intensive care unit stay with a rho (95% CI) of .88 (0.83-.93); however, the correlation was moderate per intensive care unit day with a rho of .51 (0.45-0.57). A strong association was observed between the Minimum Hospital Summary Nursing Dataset and the Nursing Activities Score with the costs of intensive care unit nurses with a rho (95% CI) of .78 (0.72-0.86) and .74 (0.65-0.84), respectively. CONCLUSIONS: A general nursing funding scale in Belgium was strongly correlated with the nursing workload for the whole intensive care unit stay, but this correlation was moderate per intensive care unit day. In contrast, both scales showed a good correlation with intensive care unit nursing costs. IMPLICATIONS FOR NURSING MANAGEMENT: In Belgium, a general funding scale for nurses does not allow for an assessment of the nursing workload in the intensive care unit. The Nursing Activities Score is strongly correlated with the cost of nursing staff in the intensive care unit. The authors recommend that the Belgian authorities carry out this type of study in several intensive care units in the country and eventually replace the general funding scale for nurses with the Nursing Activities Score.

Cost-DALY comparison of hip replacement care in 12 Belgian hospitals.

BACKGROUND: In view of the expected increase in expenditure on hip replacement treatment in Belgium, the complication rate and potential waste reduction, as estimated by the Organisation for Economic Cooperation and Development, we are not yet in a position to assess the efficiency of hip replacement treatment in Belgian hospitals. This objective study uses a cost-disability-adjusted life years (DALYs) ratio to propose a comparison of hip replacement surgery among 12 Belgian hospitals. METHODS: Our study seeks to innovate by proposing an interhospital comparison that simultaneously integrates the weighting of quality indicators and the costs of managing a patient. To this end, we associated a DALY impact with each patient safety indicator, readmission and mortality outcome. We then compared hospitals using both costs and DALYs adjusted to their case mix index. The adjusted values (costs and DALYs) were obtained by relating the observed value to the predicted value obtained from the linear regression model. RESULTS: We registered a total of 246.5 DALYs for the 12 hospital institutions, the average cost (SD) of a stay being €8013 (€4304). Our model allowed us to identify hospitals with observed values higher than those predicted. Out of the 12 hospitals evaluated, 4 need to reduce costs and DALYs impacts, 6 have to improve one of the two factors and 2 appear to have good results. The costs for the worst performing hospitals can rise to over €150 000. CONCLUSION: Evaluating the rates of patient safety indicators, associated with cost, is a prerequisite for quality and cost improvement efforts on the part of managers and practitioners. However, it appears essential to evaluate the entire care chain using a comparable unit of measurement. The hospital's case mix index must also be considered in benchmarking to avoid drawing the wrong conclusions. In addition, other indicators, such as the patient's perception of the actual results, should be added to our study.

The hospital cost of hip replacement for old inpatients in Belgium.

INTRODUCTION: The objectives of this research are (i) to describe the medico-administrative characteristics of inpatients aged 65 and more who are hospitalized for hip joint replacement, (ii) to evaluate the complete hospital cost into costs of medical procedures, drugs costs, prostheses costs, and the administrative costs, and (iii) to identify and to evaluate from administrative database predictors influencing the complete hospital costs. METHODS: The study was based on 961 inpatient stays aged 65 and more, with the APR-DRG 301 "Hip joint replacement". The sample for this study was based on data collected in 2014 among nine Belgian general hospitals. We used the linear regression method for isolating predictors of hospital cost. RESULTS: The study highlights three different types of patients hospitalized for hip replacement, depending on the primary diagnosis: osteoarthritis problems (57%), femur neck fracture (30%), or other reasons (13%) (complications, infections, or problems with the existing hip prosthesis). The median length of stay (P25-P75) was 9 days (6.29-20.91). The median cost (P25-P75) was 8,023.91 EUR (6678.32-13,670.78). The total cost was composed of the direct hospital cost (30%), the cost of medical procedures (31%), cost of drugs (4%), the cost of hip prosthesis (18%), and other costs (17%). The linear regression reveals that an extreme SOI or risk of mortality, an ICU stay, an in-hospital death, an index of Charlson comorbidities of 4 or 5, to be hospitalized for a hip replacement because of complications, infections, or problems with the existing hip prosthesis, and the length of stay, were predictors of an increase in hospital cost. CONCLUSION: The cost is not increasing with the age of the patient, but mainly with the length of stay and the comorbidities linked to the age which are considered in the severity of illness and the Charlson comorbidities index. The hospital cost is higher for patients hospitalized for complications linked to an existing hip prosthesis than for a hip replacement linked to osteoarthritis problems.

Evaluation of the cost and length of hospital stays related to the management of an intestinal Clostridium difficile infection.

INTRODUCTION: Intestinal Clostridium difficile Infection (CDI) treated in hospitals may concern patients whose reason for admission is CDI (primary diagnosis) or who have acquired CDI during their stay (secondary diagnosis). OBJECTIVES: The objective of this study is to evaluate the cost for social security and hospitals and the length of hospital stays related to CDIs as the main reason for admission. METHOD: This study was carried out in 2012 in 13 Belgian hospitals. Cases were selected by using diagnosis recorded in minimum discharge summaries. Pediatric stays are not part of the inclusion criteria (n= 86). RESULTS: The average length of stay (standard deviation) was 13.53 days (11.95). The average cost (standard deviation) covered by social security/hospitals was €5,019.51 / €6,286.39 (9,638.42/ 6,368.45). 7% of patients were admitted to the Intensive Care Unit during hospitalization, for an average duration (standard deviation) of 8.18 days (2.93). The mortality rate was 8.1%. 19.8% of patients used vancomycin during the stay, 43% were treated with metronidazole only, 12.8% used vancomycin and metronidazole and 24.4% do not received vancomycin or metronidazole. No patients received fidaxomycin. CONCLUSION: This study made it possible to approach the cost of CDI as the main reason for admission. Such data should allow contributing to optimally assess both the pharmacoeconomic impact of the implementation of prevention strategies and also therapeutic management making use of more expensive medicinal products but associated with decreased risk of recurrence.

Predictors of costs from the hospital perspective of primary pulmonary embolism.

The objective of this study was to estimate the total hospital cost per patient admitted through the emergency department with a primary diagnosis of pulmonary embolism (PE), and to identify the main components and predictors of costs.Actual costs of care of 652 consecutive patients hospitalised in 10 general hospitals in Belgium, including 31 outlier patients in terms of length of stay (4.8%), were obtained by aggregating all cost components contributing to care of each patient.In both inlier and outlier patients, the mean total cost per patient increased linearly with the degree of severity of illness classes related to the All Patient Refined Diagnosis Related Group (p<0.0001). Medical procedures, nursing activities and hospitalisation accommodation were the main cost components. We identified six independent predictors of costs in inliers: age group, chronic pulmonary heart disease, heart failure, admission to intensive care unit, initial thrombolysis treatment and type of hospital. There was a statistically significant linear trend between age groups and costs (p<0.0001).An increasing burden of comorbid illness was strongly associated with increasing actual cost for caring hospitalised patients for PE. Increasing age was associated with an increase in all main cost components.

[Medical and economic evaluation of oncological inpatients in 14 Belgian hospitals]. / Analyse médico-économique de la patientèle oncologique de 14 hôpitaux belges.

INTRODUCTION: A prospective payment system per DRG is announced in Belgium. Is this kind of financing system adequate for oncology? Objectives of this study are: to analyze medical and economical characteristics of oncological inpatients and evaluate the homogeneity of costs and length of stay per DRG. METHODS: The study was realized in 14 Belgian hospitals, with 2010 data. Inpatients with primary diagnosis of neoplasms were selected in medical and administrative databases. Characteristics of patients as well as length of stay and cost (hospital perspective) were analyzed. The homogeneity of costs and length of stay is measured by calculating the coefficient of variation (standard deviation divided by the mean). RESULTS: The length of stay (standard deviation) is 9.72 days (12.64). The variation is high per DRG. The average cost (standard deviation) is 7689.28€ (10,418) and is also variable from one DRG to another one. There are 5% of high-length of stay outliers and 0.2% of low-length of stay outliers. There are 4.7% of high-cost outliers and 0.2% of low-cost outliers. The withdrawal of outliers improves the homogeneity of cost and length of stay per APR-DRG. DISCUSSION AND CONCLUSION: There is a homogeneity of costs and length of stay per DRG and per severity of illness. A prospective payment system per DRG would probably be applicable for these patients. It is however necessary to plan an appropriate and additional financing of all elements susceptible to stimulate innovation in the management of oncology and to stimulate the quality of care by adding financial stimulants.

Costs of disposable material in the operating room do not show high correlation with surgical time: Implications for hospital payment.

OBJECTIVES: The objectives of this study are to analyze the variation of the surgical time and of disposable costs per surgical procedure and to analyze the association between disposable costs and the surgical time. METHODS: The registration of data was done in an operating room of a 419 bed general hospital, over a period of three months (n = 1556 surgical procedures). Disposable material per procedure used was recorded through a barcode scanning method. RESULTS: The average cost (standard deviation) of disposable material is €183.66 (€183.44). The mean surgical time (standard deviation) is 96 min (63). Results have shown that the homogeneity of operating time and DM costs was quite good per surgical procedure. The correlation between the surgical time and DM costs is not high (r = 0.65). CONCLUSIONS: In a context of Diagnosis Related Group (DRG) based hospital payment, it is important that costs information systems are able to precisely calculate costs per case. Our results show that the correlation between surgical time and costs of disposable materials is not good. Therefore, empirical data or itemized lists should be used instead of surgical time as a cost driver for the allocation of costs of disposable materials to patients.

[Cost evaluation of hospital inpatient stays induced by injuries due to falls for elderly people]. / Évaluation économique des lésions associées aux chutes des personnes âgées vivant à domicile.

Thirty percent of people aged 65 and older, living at home fall at least once a year. Few economic data are available in Belgium on this issue. We evaluated the cost borne by social security. 823 inpatient stays aged 65 and more, from home and admitted for injuries after a fall were selected. We observe an average (SD) age of 81 years. The proportion of women is 76%. 75% of admissions are related to fractures. 18% of patients are 'institutionalized' after falls. The death rate is 6%. The median (Q1-Q3) of cost is € 4.182 (2.385-6.820), for a length of stay median (Q1-Q3) of 11 days (4-25). The cost of hospital stays is estimated at €135 millions. Based on population projections, the cost could be estimated at € 243 millions in 2050. The overall cost of the treatment of these lesions is much more important, because costs are also generated after the hospitalization.

Prospective casemix-based funding, analysis and financial impact of cost outliers in all-patient refined diagnosis related groups in three Belgian general hospitals.

This study examined the impact of cost outliers in term of hospital resources consumption, the financial impact of the outliers under the Belgium casemix-based system, and the validity of two "proxies" for costs: length of stay and charges. The cost of all hospital stays at three Belgian general hospitals were calculated for the year 2001. High resource use outliers were selected according to the following rule: 75th percentile +1.5 xinter-quartile range. The frequency of cost outliers varied from 7% to 8% across hospitals. Explanatory factors were: major or extreme severity of illness, longer length of stay, and intensive care unit stay. Cost outliers account for 22-30% of hospital costs. One-third of length-of-stay outliers are not cost outliers, and nearly one-quarter of charges outliers are not cost outliers. The current funding system in Belgium does not penalize hospitals having a high percentage of outliers. The billing generated by these patients largely compensates for costs generated. Length of stay and charges are not a good approximation to select cost outliers.

Analysis of cost outliers within APR-DRGs in a Belgian general hospital: two complementary approaches.

CONTEXT AND OBJECTIVES: The objective of this study was to find factors that could explain high and low resource use outliers, by associating an explanatory analysis with a statistical analysis. METHOD: High resource use outliers were selected according to the following rule: 75th percentile + 1.5* inter-quartile range. Low resource use outliers were selected according to: 25th percentile - 1.5* inter-quartile range. The statistical approach was based on a multivariate analysis using logistic regression. A decision tree approach using predictors from this analysis (intensive care unit (ICU) stay, high severity of illness and social factors associated with longer length of stay) was also tested as a more intuitive tool for use by hospitals in focussing review efforts on "not explained" cost outliers. RESULTS: High resource use outliers accounted for 6.31% of the hospital stays versus 1.07% for low resource use outliers. The probability of a patient being a high resource use outlier was higher with an increase in the length of stay (odds ratios (OR) = 1.08), when the patient was treated in an intensive care unit (OR = 3.02), with a major or extreme severity of illness (OR=1.46), and with the presence of social factors (OR = 1.44). The probability of being a low outlier is lower for older patients (OR = 0.98). The probability of being a low outlier is also lower without readmission within the year (OR = 0.55). The more intuitive decision tree method identified 92.26% of the cases identified through residuals of the regression model. One quarter of the high cost outliers were flagged for additional review ("not justified" on the basis of the model), with nearly three-quarters "justified" by clinical and social factors. CONCLUSION: The analysis of cost outliers can meet different aims (financing of justifiable outliers, improvement of the care process for the outliers not justifiable on medical or social grounds). The two methods are complementary, by proposing a statistical and a didactic approach to achieve the goal of high quality care using fewer resources.