Diagnosis-related Groups Research Articles

Impact of Diagnosis-Related Groups on Inpatient Quality of Health Care: A Systematic Review and Meta-Analysis.

The aim of this meta-analysis was to comprehensively evaluate the effectiveness of Diagnosis-related group (DRG) based payment on inpatient quality of care. A comprehensive literature search was conducted in PubMed, EMBASE, Cochrane Central Register of Controlled Trials and Web of Science from their inception to December 30, 2022. Included studies reported associations between DRGs-based payment and length of stay (LOS), re-admission within 30 days and mortality. Two reviewers screened the studies independently, extracted data of interest and assessed the risk of bias of eligible studies. Stata 13.0 was used in the meta-analysis. A total of 29 studies with 36 214 219 enrolled patients were analyzed. Meta-analysis showed that DRG-based payment was effective in LOS decrease (pooled effect: SMD = -0.25, 95% CI = -0.37 to -0.12, Z = 3.81, P < .001), but showed no significant overall effect in re-admission within 30 days (RR = 0.79, 95% CI = 0.62-1.01, Z = 1.89, P = .058) and mortality (RR = 0.91, 95% CI = 0.72-1.15, Z = 0.82, P = .411). DRG-based payment demonstrated statistically significant superiority over cost-based payment in terms of LOS reduction. However, owing to limitations in the quantity and quality of the included studies, an adequately powered study is necessary to consolidate these findings.

The reimbursement system can influence the treatment choice and favor joint replacement versus other less invasive solutions in patients affected by osteoarthritis

PurposeThe aim of this study was to assess how physicians perceive the role of the reimbursement system and its potential influence in affecting their treatment choice in the management of patients affected by osteoarthritis (OA).MethodsA survey was administered to 283 members of SIAGASCOT (Italian Society of Arthroscopy, Knee, Upper Limb, Sport, Cartilage and Orthopaedic Technologies), a National scientific orthopaedic society. The survey presented multiple choice questions on the access allowed by the current Diagnosis-Related Groups (DRG) system to all necessary options to treat patients affected by OA and on the influence toward prosthetic solutions versus other less invasive options.ResultsAlmost 70% of the participants consider that the current DRG system does not allow access to all necessary options to best treat patients affected by OA. More than half of the participants thought that the current DRG system favors the choice of prosthetic solutions (55%) and that it can contribute to the increase in prosthetic implantation at the expense of less invasive solutions (54%). The sub-analyses based on different age groups, professional roles, and places of work allowed to evaluate the response in each specific category, confirming the findings for all investigated aspects.ConclusionsThis survey documented that the majority of physicians consider that the reimbursement system can influence the treatment choice when managing OA patients. The current DRG system was perceived as unbalanced in favor of the choice of the prosthetic solution, which could contribute to the increase in prosthetic implantation at the expense of other less invasive options for OA management.

Health Economic Aspects of Platelet Concentrates: Comparing Cost and Reimbursement of Pathogen Inactivated and Conventional Platelet Concentrates in a German Comprehensive Cancer Center.

Pathogen inactivation (PI) utilizing amotosalen and UVA light (INTERCEPT® Blood System) is a well-established method for the production of safer platelet concentrates (PCs). While many studies describe clinical and logistical benefits of PI, the implications and potential challenges from a hospital management perspective have not yet been analyzed - health economic analyses considering reimbursement of PI are lacking. The objective of this analysis was to examine the real-life inpatient treatment costs from a hospital perspective and to assess the economic impact of PI-PC versus conventional PC (CONV-PC) administration in Germany. Real-life cost data for inpatient cancer cases from 2020 of the University Hospital Cologne were identified by operating and procedure codes. The German diagnosis-related groups, extra fees, case mix index (CMI), length of stay (LOS), and average resource consumption of PC were evaluated from a micro-management perspective. The potential economic impact of implementing PI-treated PCs was modeled retrospectively. In total, 951 inpatient cases were analyzed (CMI [median 4.7-9.9], LOS [median 26 days], number of cases in intensive care units [38%]). The median DRG fee was between EUR 13,800 and EUR 26,400. According to our model, the use of PI-PC compared to CONV-PC would result in savings between EUR 184 and EUR 306 per case. From a hospital management perspective, oncological cases requiring PC transfusion are associated with a high CMI (reimbursement per DRG flat fee) and moderate costs with sufficient add-on payment for PI on a case level. Investment and process costs for PI implementation can be analyzed for site-specific scenarios.

Evaluation of the real applicability of diagnosis-related groups for urinary tract lithiasis surgeries

Evaluation of the real applicability of diagnosis-related groups for urinary tract lithiasis surgeries

Main changes in payment model for diagnosis-related groups in the Russian Federation in 2023

Main changes in payment model for diagnosis-related groups in the Russian Federation in 2023

Strategies for Reducing Induced Demand in Hospitals Affiliated with Iran University of Medical Sciences: A Qualitative Study

Background: Induced demand is a major challenge for health systems worldwide. It increases costs, especially for patients. The purpose of this study is to identify strategies for reducing induced demand for health care in hospitals affiliated with the Iran University of Medical Sciences (IUMS).&#x0D; Methods: This was a qualitative study conducted in 2018. The authors conducted in-depth, semi-structured interviews with 20 participants, including IUMS faculty members, physicians, public hospital managers, patients, and researchers with academic and practical experience. Inductive content analysis was used to analyze data. Data analysis was performed in MAXQDA10.&#x0D; Results: Overall, the authors extracted 24 subthemes from the interviews and classified them into the health system, insurer, healthcare provider, and healthcare recipient. They are key factors regarding the induced demand for healthcare in the public hospitals under study.&#x0D; Conclusion: Reducing induced demand for healthcare requires concerted actions by health policymakers and managers at the level of the health system, insurers, healthcare providers, and healthcare recipients. Therefore, policymakers and managers of the health system should take appropriate measures such as the development of guidelines and protocols by different departments, especially the emergency department, classification (primary, secondary, and tertiary care), and referral system. They expand the monitoring role of insurance companies (transforming the payment system into the global diagnosis-related group) to reduce the induced demand for health.

Cost-utility analysis of early versus delayed endovascular intervention in critical limb-threatening ischemia patients with rest pain.

The prevalence of chronic limb-threatening ischemia (CLTI) and poor health outcomes are high in Germany. Serious consequences of CLTI such as amputation and mortality can be effectively prevented by the early use of evidence-based therapeutic measures such as endovascular intervention. We have developed a cost-utility analysis to compare endovascular intervention with bare metal stents (BMSs) and endovascular intervention after conservative treatment from the German payer perspective. A Markov model, with a 5-year time horizon and seven states, was developed: (1) intervention, (2) stable1, (3) major amputation, (4) reintervention, (5) stable2, (6) care, and (7) all-cause death. Transition probabilities were obtained by pooling the outcomes from multiple clinical studies. The costs were estimated using data from the German diagnosis-related group system, the German rehabilitation fund, and related literature. Health-state utilities were obtained from the reported data. The primary outcomes were the quality-adjusted life-years (QALYs) and costs. Early BMS intervention after 5years resulted in a cost of €23,913 and an increase of 2.5 QALYs per patient, and endovascular intervention with BMS after conservative treatment after 5years resulted in a cost of €18,323 and an increase of 2 QALYs per patient. The incremental cost-effectiveness ratio was €12,438. The number of major amputations was reduced by 6%. The results of the structural, deterministic, and probabilistic sensitivity analyses were robust. Early endovascular intervention with BMS resulted in more QALYs and a reduced risk of major amputation for early-stage CLTI patients. Our results showed that early endovascular intervention is very cost-effective according to World Health Organization recommended cost-effectiveness thresholds. However, the clinical decision regarding the use of early endovascular intervention should be determined by individual patient-level eligibility and the physician's judgment.

Using machine learning to predict nosocomial infections and medical accidents in a NICU

Adult studies have shown that nursing overtime and unit overcrowding are associated with increased adverse patient events but there exists little evidence for the Neonatal Intensive Care Unit (NICU). We investigate the main determinants of nosocomial infections and medical accidents in a NICU using state-of-the-art machine learning techniques. Our analysis focuses on a retrospective study on the 7,438 neonates admitted in the CHU de Québec NICU (capacity of 51 beds) from 10 April 2008 to 28 March 2013. Daily administrative data on nursing overtime hours, total regular hours, number of admissions, patient characteristics, as well as information on nosocomial infections and on the timing and type of medical errors were retrieved from various hospital-level datasets. We use a generalized mixed effects regression tree model with random effects (GMERT-RI) to elaborate predictions trees for the two outcomes. Neonates' characteristics and daily exposure to numerous covariates are used in the model. GMERT-RI is suitable for binary outcomes and is a recent extension of the standard tree-based method. The model allows to determine the most important predictors. Diagnosis-related group level, regular hours of work, overtime, admission rates, birth weight and occupation rates are the main predictors for both outcomes. On the other hand, gestational age, C-Section, multiple births, medical/surgical and number of admissions are poor predictors. The GMERT-RI algorithm is a powerful tool. It is well suited to unearth potential correlations in the context of unbalanced panel data and discrete health outcomes, two common features of clinical data. In the particular setting of a NICU, we find that institutional features (overtime hours, occupancy rates, etc.) are just as important drivers as neonate-specific medical conditions in predicting medical accidents and health care associated infections. From an operational point of view, prediction trees can complement traditional management tools in preventing undesirable health outcomes in the NICU.

Análisis de las «estancias cero» pediátricas en un hospital de nivel 2 a lo largo de 25 años

IntroductionIt is essential to admit patients to hospital in an efficient way in order to use resources rationally. Short hospitalary stays are hospitalizations which does not include 00:00h and are considered avoidable. This study describes trends and characteristics of short stays throughout 25 years in our hospital. Patients and methodsWe analyzed hospital pediatric discharges in a second-level hospital through the registration system «conjunto mínimo básico de datos». We categorized pediatric patients and newborn patients in two groups according to length of hospital stay: «short stays» and «prolonged stays». We analyzed and compared the following variables: gender, age, type of admission, month, diagnosis-related groups (DRG) and admission service. Binary logistic regression analysis and assessment of trends through joinpoint regression analysis were performed. ResultsFrom 1993 to 2017, 45710 children were admitted to our hospital, of which 7.3% were short stays. The trend analysis showed a point of change upwards–downwards at the beginning of the millennium. Pediatric short stays: the most important variables were emergency admissions (89%), urgent transfers (9%), month December (11%) and main diagnosis category: nervous system (18%). Mean diagnosis-related groups cost was 2432±1115€ in short stays group and 2549±1065€ in prolonged stays. ConclusionsShort stays and prolonged stays show a falling trend in our hospital. Short stays percentage in our environment is similar to other neighbor countries. Some of our short stays are urgent transfers and admissions for clinical observation. We did not find clinical significance in weight or cost of pediatric patients’ DRG comparing to prolonged stays.

Conversion Total Hip Arthroplasty in the Era of Bundled Care Payments: Impacts on Costs of Care

BackgroundConversion hip arthroplasty is defined as a patient who has had prior open or arthroscopic hip surgery with or without retained hardware that is removed and replaced with arthroplasty components. Currently, it is classified under the same diagnosis-related group as primary total hip arthroplasty (THA); however, it frequently requires a higher cost of care. MethodsA retrospective study of 228 conversion THA procedures in an orthopaedic specialty hospital was performed. Propensity score matching was used to compare the study group to a cohort of 510 primary THA patients by age, body mass index, sex, and American Society of Anesthesiologists score. These matched groups were compared based on total costs, implants used, operative times, length of stay (LOS), readmissions, and complications. ResultsConversion THA incurred 25% more mean total costs compared to primary THA (P < .05), longer lengths of surgery (154 versus 122 minutes), and hospital LOS (2.1 versus 1.56 days). A subgroup analysis showed a 57% increased cost for cephalomedullary nail conversion, 34% increased cost for sliding hip screw, 33% for acetabular open reduction and internal fixation conversion, and 10% increased costs in closed reduction and percutaneous pinning conversions (all P < .05). There were 5 intraoperative complications in the conversion group versus none in the primary THA group (P < .01), with no statistically significant difference in readmissions. ConclusionConversion THA is significantly more costly than primary THA and has longer surgical times and greater LOS. Specifically, conversion THA with retained implants had the greatest impact on cost.

Nonunions and Their Operative Treatment.

Nonunions, which arise as a complication of fractures, are an impor - tant medical and socio-economic problem. The goal of this study was to analyze nonunions in Germany with respect to the patients' age and sex, the anatomical site of the lesions, and their operative treatment. The study was performed on the basis of DRG (diagnosis-related group) data acquired for billing purposes and collected by the German Federal Statistical Office. The administrative frequencies of nonunions and fractures treated in the inpatient setting, broken down by sex and age group, were calculated from the documentation of ICD codes. An investigation was also made of surgical treatments for nonunion, as they were categorized by the German procedure classification (Operationen- und Prozedurenschlüssel, OPS). The administrative frequency of nonunion was 14.84 per 100 000 persons per year, with a 2% decline in case numbers over the period 2007-2019. Nonunions develop in 2% of fractures. Nonunions affect men more often than women (58% vs. 42%). In men, their incidence as a function of age is highest under age 30; in women, it rises steadily with increasing age. The most common type of surgical treatment is a combination of resection, bone transplantation, and osteosynthesis. This is the first detailed nationwide study of diagnoses of nonunions in Germany and their surgical treatment. Despite a slow decline in their incidence, nonunions remain an important problem in the inpatient setting. The risk profile for nonunions is sex-, age-, and site-specific.

The Economic Burden of Infective Endocarditis due to Injection Drug Use in Australia: A Single Centre Study-University Hospital Geelong, Barwon Health, Victoria.

Injection drug use (IDU) is a well-recognized risk factor for infective endocarditis (IE). Associated complications from IDU result in significant morbidity and mortality with substantial cost implications. The aim of this study was to determine the cost burden associated with the management of IE due to IDU (IE-IDU). We used data collected prospectively on patients with a diagnosis of IE-IDU as part of the international collaboration on endocarditis (ICE). The cost of medical treatment was estimated based on diagnosis-related groups (DRG) and weighted inlier equivalent separation (WIES). There were 23 episodes from 21 patients in 12 years (2002 to 2014). The costing was done for 22 episodes due to data missing on 1 patient. The median age was 39 years. The gender distribution was equal. Heroin (71%) and methamphetamine (33%) were the most frequently used. 74% (17/23) required intensive care unit (ICU) admission. The median ICU length of stay (LOS) was 4 days (IQR (Interquartile range); 2 to 40 days) whilst median total hospital LOS was 40 days (IQR; 1 to 119 days). Twelve patients (52%) underwent valve replacement surgery. Mortality was 13% (3/23). The total medical cost for the 22 episodes is estimated at $1,628,359 Australian dollars (AUD). The median cost per episode was a median cost of $ 61363 AUD (IQR: $2806 to $266,357 AUD). We did not account for lost productivity and collateral costs attributed to concurrent morbidity. Within the limitations of this small retrospective study, we report that the management of infective endocarditis caused by injection drug use can be associated with significant financial cost.

Last Resort Antibiotics Costs and Reimbursement Analysis of Real-Life ICU Patients with Pneumonia Caused by Multidrug-Resistant Gram-Negative Bacteria in Germany.

Multidrug-resistant Gram-negative bacteria (MDR-GNB) cause serious infections and aggravate disease progression. Last resort antibiotics are effective against MDR-GNB and are reimbursed by flat rates based on German diagnosis-related groups (G-DRG). From a hospital management perspective, this analysis compared hospital reimbursement for last resort antibiotics with their acquisition costs to outline potential funding gaps. Retrospective analyses based on medical charts and real-life reimbursement data included patients with pneumonia due to MDR-GNB treated in intensive care units (ICU) of a German tertiary care hospital (University Hospital Cologne) between January 2017 and December 2020. Drug-associated hospital reimbursement of G-DRG was compared with drug acquisition costs based on preliminarily approved last resort antibiotics (cefiderocol, ceftazidime-avibactam, ceftolozane-tazobactam, and imipenem-cilastatin-relebactam) according to label. Funding gaps were determined for the treatment of Enterobacterales, Pseudomonas aeruginosa, Acinetobacter baumannii, and mixed infections, respectively. Most of the 31 patients were infected with Enterobacterales (n = 15; 48.4%) and P. aeruginosa (n = 13; 41.9%). Drug-associated G-DRG reimbursement varied from 44.50 EUR (mixed infection of P. aeruginosa and Enterobacterales) to 2265.27 EUR (P. aeruginosa; mixed infection of P. aeruginosa and Enterobacterales). Drug acquisition costs ranged from 3284.40 EUR in ceftazidime-avibactam (minimum duration) to 15,827.01 EUR for imipenem-cilastatin-relebactam (maximum duration). Underfunding was found for all MDR-GNB, reaching from 1019.13 EUR (P. aeruginosa; mixed infection of P. aeruginosa and Enterobacterales) to 14,591.24 EUR (Enterobacterales). This analysis revealed the underfunding of last resort antibiotics in German hospital treatment. Insufficient reimbursement implies less research in this field, leading to a more frequent use of inappropriate antibiotics. The cycle closes as this contributes to the development of multi-drug resistant bacteria.

HPR154 Appropriate Use of Anti-PD(L)1 in Paris Public Hospitals (AP-HP): Are the Prescriptions in Compliance with Reimbursed Indications?

In France, hospital drugs are reimbursed only for indications of the marketing authorization approved by the French National Authority for Health (HAS). Drugs are financed by the Diagnosis-Related-Groups (DRG)-based payment system or in addition to the DRGs for innovative and costly medicines. Some off-label indications are also reimbursed, particularly if they are scientifically justified. Use of Anti-PD(L)1 drugs is closely monitored by Authorities because of the high cost of treatments (up to €90K annually per patient) and the growing number of indications. The objectives of this study are to confirm the prescriptions’ compliance with reimbursed indications in Paris University Hospitals (AP-HP, the largest hospital center in Europe, 7 million patients annually), and to evaluate the impact on spending.

Pressure Injury Risk Assessment and Associations in an Adult Inpatient Rehabilitation Sample- Retrospective Cohort Study

<h3>Research Objectives</h3> To identify risk factors for the development of Hospital Acquired Pressure Injury (HAPI) over 6 months in an Inpatient Rehabilitation Facility (IRF) using the Braden Scale for Pressure Injury Prevention (Braden) and other variables. <h3>Design</h3> Observational Retrospective Cohort Study. <h3>Setting</h3> 262 bed free-standing IRF at an urban academic medical center. <h3>Participants</h3> Adults 18 years and older admitted to IRF from July through December 2020 were included. <h3>Interventions</h3> N/A. <h3>Main Outcome Measures</h3> Logistic regression is used to assess HAPI occurrence during episode of care, against possible predictors including the Braden total score, Braden subscales, demographics, lab albumen, pain, diagnosis-related impairment group, external medical/orthopedic devices, expression of ideas/wants and understanding of verbal content. <h3>Results</h3> Of 1342 unique patients with 1494 episode of care, 54 (3.6%) HAPI events occurred. Before adjustment, Braden total score of 15 (14.69, SD 1.92) and below was associated with increased HAPI occurrence (p< 0.001). Univariate analyses identified the following significant risk factors for HAPI: age, impairment group, gastrointestinal tube, urinary catheter, expression of ideas/wants and understanding of verbal content. After adjusting for these variables, each one-point increase was associated with a 23% reduced odds of HAPI occurrence (95% CI, 0.65-0.90; p< 0.001). Three variables were still strongly associated with increased HAPI occurrence: Braden subscale "Friction/Shear" (OR 0.47; 95%CI, 0.27-0.81; p< 0.007), presence of a gastrointestinal tube (OR 2.51 higher odds; 95%CI, 1.03-5.66; p< 0.001), and rarely/never expresses ideas/wants (OR 9.16 higher odds; 95%CI, 0.94-70.05; p< 0.04) compared to no difficulty. Impairment group modified the effects: People with Spinal Cord Injury (SCI) had a greater odds of HAPI occurrence compared to those with Brain (OR 0.28; 95% CI, 0.11-0.66; p< 0.001) and Medically Complex (OR 0.31; 95% CI, 0.15-0.63; p< 0.001) impairments. <h3>Conclusions</h3> This study builds on prior SCI-related Braden research by including all patients admitted to IRF. Clinicians should consider adult IRF patients at risk for HAPI with Braden total scores of 15 and below, worse problems of "Friction/Shear", presence of a gastrointestinal tube, and patient's inability to express ideas/wants. <h3>Author(s) Disclosures</h3> N/A.

EE352 New Reimbursement Policy on Costly Treatments for Rehabilitation Care in France: Estimated Impact in a University Hospital

Rehabilitation care (RC) funding in France is under reforming. A reimbursement policy of costly treatments will be introduced in 2023, similarly to acute care (AC). Two drug lists exist: one already available for AC (LA) to which RC will get access and a future one specific to RC (LR), since it has a lower threshold for costliness and specific needs. Listed molecules will be totally covered by the national health insurance in addition to the diagnosis-related group. Hence, a descriptive study of their use was required to assess the financial impact of the reform.

Prediction of total healthcare cost following total shoulder arthroplasty utilizing machine learning.

Given the increase in demand in treatment of glenohumeral arthritis with anatomic total (aTSA) and reverse shoulder arthroplasty (RTSA), it is imperative to improve quality of patient care while controlling costs as private and federal insurers continue its gradual transition toward bundled payment models. Big data analytics with machine learning shows promise in predicting health care costs. This is significant as cost prediction may help control cost by enabling health care systems to appropriately allocate resources that help mitigate the cause of increased cost. The Nationwide Readmissions Database (NRD) was accessed in 2018. The database was queried for all primary aTSA and RTSA by International Classification of Diseases, Tenth Revision (ICD-10) procedure codes: 0RRJ0JZ and 0RRK0JZ for aTSA and 0RRK00Z and 0RRJ00Z for RTSA. Procedures were categorized by diagnoses: osteoarthritis (OA), rheumatoid arthritis (RA), avascular necrosis (AVN), fracture, and rotator cuff arthropathy (RCA). Costs were calculated by utilizing the total hospital charge and each hospital's cost-to-charge ratio. Hospital characteristics were included, such as volume of procedures performed by the respective hospital for the calendar year and wage index, which represents the relative average hospital wage for the respective geographic area. Unplanned readmissions within 90 days were calculated using unique patient identifiers, and cost of readmissions was added to the total admission cost to represent the short-term perioperative health care cost. Machine learning algorithms were used to predict patients with immediate postoperative admission costs greater than 1 standard deviation from the mean, and readmissions. A total of 49,354 patients were isolated for analysis, with an average patient age of 69.9±9.6 years. The average perioperative cost of care was $18,843±$10,165. In total, there were 4279 all-cause readmissions, resulting in an average cost of $13,871.00±$14,301.06 per readmission. Wage index, hospital volume, patient age, readmissions, and diagnosis-related group severity were the factors most correlated with the total cost of care. The logistic regression and random forest algorithms were equivalent in predicting the total cost of care (area under the receiver operating characteristic curve=0.83). After shoulder arthroplasty, there is significant variability in cumulative hospital costs, and this is largely affected by readmissions. Hospital characteristics, such as geographic area and volume, are key determinants of overall health care cost. When accounting for this, machine learning algorithms may predict cases with high likelihood of increased resource utilization and/or readmission.

Comparison of the Predictive Performance of Medical Coding Diagnosis Classification Systems

Health analytics frequently involve tasks to predict outcomes of care. A foundational predictor of clinical outcomes is the medical diagnosis (Dx). The most used expression of medical Dx is the International Classification of Diseases (ICD-10-CM). Since ICD-10-CM includes &gt;70,000 codes, it is computationally expensive and slow to train models with. Alternative lower-dimensionality alternatives include clinical classification software (CCS) and diagnosis-related groups (MS-DRGs). This study compared the predictive power of these alternatives against ICD-10-CM for two outcomes of hospital care: inpatient mortality and length of stay (LOS). Naïve Bayes (NB) and Random Forests models were created for each Dx system to examine their predictive performance for inpatient mortality, and Multiple Linear Regression models for the continuous LOS variable. The MS-DRGs performed highest for both outcomes, even outperforming ICD-10-CM. The admitting ICD-10-CM codes were, surprisingly, not underperformed by the primary ICD-10-CM Dxs. The CCS system, although having a much lower dimensionality than ICD-10-CM, has only slightly lower performance while the refined version of CCS only slightly outperformed the old CCS. Random Forests outperformed NB for MS-DRG, and ICD-10-CM, by a large margin. Results can provide insights to understand the compromise from using lower-dimensionality representations in clinical outcome studies.

Diagnosis-Related Group–Based Payments for Adult Spine Deformity Surgery Significantly Vary across Centers: Results from a Multicenter Prospective Cohort Study

To investigate the variation in total episode-of-care (EOC) payment and quality-adjusted life-year (QALY) gain for complex adult spine deformity surgeries in the United States, adjusting for case type and surgeon preferences. Patients aged >18 years with adult spine deformity with Medicare Severity-Diagnosis-Related Groups (DRGs) 453-460 and a minimum of 2 years of follow-up from index surgery were included. Index and total payments were calculated using Medicare's Inpatient Prospective Payment System. All costs were adjusted for inflation to 2020 U.S. dollar values. QALYs gained were calculated using baseline, 1-year, and 2-year Short-Form 6D scores. Mixed-effect models were used to estimate the proportion of variation in total EOC payment and QALY gain. A total of 330/543 patients from 6 sites were included. Mean age was 62.4 ± 11.9 years, 79% were women, and 92% were white. The mean index and total EOC payment were $77,302 and $93,182, respectively. Patients gained on average 0.15 QALY (P < 0.0001) 2 years after surgery. In unadjusted analysis, 39% of the variation in total EOC payment across the 6 centers was attributable to relative weight of DRG and base rate. Adjusting for patient and procedural factors increased the proportion of variation in total EOC payments across the centers to 56%. Less than 2% of the variation in QALY gain was observed across the 6 centers. Medicare-based payments for complex spine deformity fusions are primarily driven by relative weight of the DRG and the hospital's base rate. Patient and procedural factors are unaccounted for in the DRG-based payments made to the providers.

Nutrition support teams: Institution, evolution, and innovation.

The historical institution, evolution, and innovations of nutrition support teams (NSTs) over the past six decades are presented. Focused aspects of the transition to transdisciplinary and patient-centered care, NST membership, leadership, and the future of NSTs are further discussed. NSTs were instituted to address the need for the safe implementation and management of parenteral nutrition, developed in the late 1960s, which requires the expertise of individuals working collaboratively in a multidisciplinary fashion. In 1976, the American Society for Parenteral and Enteral Nutrition (ASPEN) was established using the multidisciplinary model. In 1983, the United States established the inpatient prospective payment system with associated diagnosis-related groupings, which altered the provision of nutrition support in hospitals with funded NSTs. The number of funded NSTs has waxed and waned since; yet hospitals and healthcare have adapted, as additional education and experience grew, primarily through ASPEN's efforts. Nutrition support was not administered in some instances by the "core of four" (physician, nurse, dietitian, pharmacist). The functions may be carried out by a member of the core of four not associated with the parent discipline, in accordance with licensure/privileging. This cross-functioning has evolved into the adaptation of the concept of transdisciplinarity, emphasizing function over form, supported and enhanced by "top-of-license" practice. In some institutions, nutrition support has been incorporated into other healthcare teams. Future innovations will assist NSTs in providing the right nutrition support for the right patient in the right way at the right time, recognizing that nutrition care is a human right.