Robotic surgery versus Laparoscopic surgery for anti-reflux and hiatal hernia surgery: a short-term outcomes and cost systematic literature review and meta-analysis.

PURPOSE: The objective of this study is to compare the operative time, intraoperative complications, length of stay, readmission rates, overall complications, mortality, and cost associated with Robotic Surgery (RS) and Laparascopic Surgery (LS) in anti-reflux and hiatal hernia surgery. METHODS: A comprehensive literature search was conducted using MEDLINE (via PubMed), Web of Science and Scopus databases. Studies comparing short-term outcomes and cost between RS and LS in patients with anti-reflux and hiatal hernia were included. Data on operative time, complications, length of stay, readmission rates, overall complications, mortality, and cost were extracted. Quality assessment of the included studies was performed using the MINORS scale. RESULTS: Fourteen retrospective observational studies involving a total of 555,368 participants were included in the meta-analysis. The results showed no statistically significant difference in operative time, intraoperative complications, length of stay, readmission rates, overall complications, and mortality between RS and LS. However, LS was associated with lower costs compared to RS. CONCLUSION: This systematic review and meta-analysis demonstrates that RS has non-inferior short-term outcomes in anti-reflux and hiatal hernia surgery, compared to LS. LS is more cost-effective, but RS offers potential benefits such as improved visualization and enhanced surgical techniques. Further research, including randomized controlled trials and long-term outcome studies, is needed to validate and refine these findings.

Preoperative prediction model for risk of readmission after total joint replacement surgery: a random forest approach leveraging NLP and unfairness mitigation for improved patient care and cost-effectiveness.

BACKGROUND: The Center for Medicare and Medicaid Services (CMS) imposes payment penalties for readmissions following total joint replacement surgeries. This study focuses on total hip, knee, and shoulder arthroplasty procedures as they account for most joint replacement surgeries. Apart from being a burden to healthcare systems, readmissions are also troublesome for patients. There are several studies which only utilized structured data from Electronic Health Records (EHR) without considering any gender and payor bias adjustments. METHODS: For this study, dataset of 38,581 total knee, hip, and shoulder replacement surgeries performed from 2015 to 2021 at Novant Health was gathered. This data was used to train a random forest machine learning model to predict the combined endpoint of emergency department (ED) visit or unplanned readmissions within 30 days of discharge or discharge to Skilled Nursing Facility (SNF) following the surgery. 98 features of laboratory results, diagnoses, vitals, medications, and utilization history were extracted. A natural language processing (NLP) model finetuned from Clinical BERT was used to generate an NLP risk score feature for each patient based on their clinical notes. To address societal biases, a feature bias analysis was performed in conjunction with propensity score matching. A threshold optimization algorithm from the Fairlearn toolkit was used to mitigate gender and payor biases to promote fairness in predictions. RESULTS: The model achieved an Area Under the Receiver Operating characteristic Curve (AUROC) of 0.738 (95% confidence interval, 0.724 to 0.754) and an Area Under the Precision-Recall Curve (AUPRC) of 0.406 (95% confidence interval, 0.384 to 0.433). Considering an outcome prevalence of 16%, these metrics indicate the model's ability to accurately discriminate between readmission and non-readmission cases within the context of total arthroplasty surgeries while adjusting patient scores in the model to mitigate bias based on patient gender and payor. CONCLUSION: This work culminated in a model that identifies the most predictive and protective features associated with the combined endpoint. This model serves as a tool to empower healthcare providers to proactively intervene based on these influential factors without introducing bias towards protected patient classes, effectively mitigating the risk of negative outcomes and ultimately improving quality of care regardless of socioeconomic factors.

Cost-effectiveness of sotagliflozin for the treatment of patients with diabetes and recent worsening heart failure.

Aim: To assesses the cost-effectiveness of sotagliflozin for the treatment of patients hospitalized with heart failure and comorbid diabetes. Materials & methods: A de novo cost-effectiveness model with a Markov structure was created for patients hospitalized for heart failure with comorbid diabetes. Outcomes of interest included hospital readmissions, emergency department visits and all-cause mortality measured over a 30-year time horizon. Baseline event frequencies were derived from published real-world data studies; sotagliflozin's efficacy was estimated from SOLOIST-WHF. Health benefits were calculated quality-adjusted life years (QALYs). Costs included pharmaceutical costs, rehospitalization, emergency room visits and adverse events. Economic value was measured using the incremental cost-effectiveness ratio (ICER). Results: Sotagliflozin use decreased annualized rehospitalization rates by 34.5% (0.228 vs 0.348, difference: -0.120), annualized emergency department visits by 40.0% (0.091 vs 0.153, difference: -0.061) and annualized mortality by 18.0% (0.298 vs 0.363, difference: -0.065) relative to standard of care, resulting in a net gain in QAYs of 0.425 for sotagliflozin versus standard of care. Incremental costs using sotagliflozin increased by $19,374 over a 30-year time horizon of the patient, driven largely by increased pharmaceutical cost. Estimated ICER for sotagliflozin relative to standard of care was $45,596 per QALY. Conclusion: Sotagliflozin is a cost-effective addition to standard of care for patients hospitalized with heart failure and comorbid diabetes.

Factors Associated with the Treatment Costs within the First Year after Pacemaker Implantation or Pulse Generator Replacement. / Fatores Associados aos Custos do Tratamento no Primeiro Ano após Implantes Iniciais ou Trocas de Geradores de Pulsos de Marca-passos Cardíacos.

BACKGROUND: The use of artificial cardiac pacemakers has grown steadily in line with the aging population. OBJECTIVES: To determine the rates of hospital readmissions and complications after pacemaker implantation or pulse generator replacement and to assess the impact of these events on annual treatment costs from the perspective of the Unified Health System (SUS). METHODS: A prospective registry, with data derived from clinical practice, collected during index hospitalization and during the first 12 months after the surgical procedure. The cost of index hospitalization, the procedure, and clinical follow-up were estimated according to the values reimbursed by SUS and analyzed at the patient level. Generalized linear models were used to study factors associated with the total annual treatment cost, adopting a significance level of 5%. RESULTS: A total of 1,223 consecutive patients underwent initial implantation (n=634) or pulse generator replacement (n=589). Seventy episodes of complication were observed in 63 patients (5.1%). The incidence of hospital readmissions within one year was 16.4% (95% CI 13.7% - 19.6%) after initial implants and 10.6% (95% CI 8.3% - 13.4%) after generator replacements. Chronic kidney disease, history of stroke, length of hospital stays, need for postoperative intensive care, complications, and hospital readmissions showed a significant impact on the total annual treatment cost. CONCLUSIONS: The results confirm the influence of age, comorbidities, postoperative complications, and hospital readmissions as factors associated with increased total annual treatment cost for patients with pacemakers.

FUNDAMENTO: O uso de marca-passos cardíacos artificiais tem crescido constantemente, acompanhando o envelhecimento populacional. OBJETIVOS: Determinar as taxas de readmissões hospitalares e complicações após implante de marca-passo ou troca de gerador de pulsos e avaliar o impacto desses eventos nos custos anuais do tratamento sob a perspectiva do Sistema Único de Saúde (SUS). MÉTODOS: Registro prospectivo, com dados derivados da prática clínica assistencial, coletados na hospitalização índice e durante os primeiros 12 meses após o procedimento cirúrgico. O custo da hospitalização índice, do procedimento e do seguimento clínico foram estimados de acordo com os valores reembolsados pelo SUS e analisados ao nível do paciente. Modelos lineares generalizados foram utilizados para estudar fatores associados ao custo total anual do tratamento, adotando-se um nível de significância de 5%. RESULTADOS: No total, 1.223 pacientes consecutivos foram submetidos a implante inicial (n= 634) ou troca do gerador de pulsos (n= 589). Foram observados 70 episódios de complicação em 63 pacientes (5,1%). A incidência de readmissões hospitalares em um ano foi de 16,4% (IC 95% 13,7% - 19,6%) após implantes iniciais e 10,6% (IC 95% 8,3% - 13,4%) após trocas de geradores. Doença renal crônica, histórico de acidente vascular encefálico, tempo de permanência hospitalar, necessidade de cuidados intensivos pós-operatórios, complicações e readmissões hospitalares mostraram um impacto significativo sobre o custo anual total do tratamento. CONCLUSÕES: Os resultados confirmam a influência da idade, comorbidades, complicações pós-operatórias e readmissões hospitalares como fatores associados ao incremento do custo total anual do tratamento de pacientes com marca-passo.

Comparing the outcomes and costs of cardiac monitoring with implantable loop recorders and mobile cardiac outpatient telemetry following stroke using real-world evidence.

Aim: Patients with ischemic stroke (IS) commonly undergo monitoring to identify atrial fibrillation with mobile cardiac outpatient telemetry (MCOT) or implantable loop recorders (ILRs). The authors compared readmission, healthcare cost and survival in patients monitored post-stroke with either MCOT or ILR. Materials & methods: The authors used claims data from Optum's de-identified Clinformatics® Data Mart Database to identify patients with IS hospitalized from January 2017 to December 2020 who were prescribed ambulatory cardiac monitoring via MCOT or ILR. They compared the costs associated with the initial inpatient visit as well as the rate and causes of readmission, survival and healthcare costs over the following 18 months. Datasets were balanced using patient baseline and hospitalization characteristics. Multivariable generalized linear gamma regression was used for cost comparisons. Cox proportional hazard regression was used for survival and readmission analysis. Sub-cohorts were analyzed based on the severity of the index IS. Results: In 2244 patients, readmissions were significantly lower in the MCOT monitored group (30.2%) compared with the ILR group (35.4%) (hazard ratio [HR] 1.23; 95% CI: 1.04-1.46). Average cost over 18 months starting with the index IS was $27,429 (USD) lower in the MCOT group (95% CI: $22,353-$32,633). Survival difference bordered on statistical significance and trended to lower mortality in MCOT (8.9%) versus ILR (11.3%) (HR 1.30; 95% CI: 1:00-1.69), led by significance in patients with complications or comorbidities with the index event (MCOT 7.5%, ILR 11.5%; HR 1.62; 95% CI: 1.11-2.36). Conclusion: The use of MCOT versus ILR as the primary monitor following IS was associated with significant decreases in readmission, lower costs for the initial IS and total care over the next 18 months, significantly lower mortality for patients with complications and comorbidities at the index stroke, and a trend toward improved survival across all patients.

Clinical and Economic Implications of Interventions in Pancreatic Fluid Collections: An Assessment From a National Claims Database.

OBJECTIVE: To compare clinical and economic implications of percutaneous and endoscopic treatment approaches in patients with pancreatic fluid collections (PFCs). MATERIALS AND METHODS: This is a retrospective claims analysis of Medicare beneficiaries who underwent inpatient endoscopic or percutaneous PFC drainage procedures (2016-2020). We performed longitudinal analysis of claims for all-cause mortality and rehospitalization during 180-day follow-up. Main outcome was mortality. Other outcomes were rehospitalization and direct costs. RESULTS: A total of 1311 patients underwent endoscopic (n = 727) or percutaneous (n = 584) drainage. Percutaneous as compared with endoscopic approach was associated with higher mortality (23.08% vs 16.7%, P = 0.004), rehospitalization (58.9% vs 53.3%, P = 0.04), and mean direct hospital costs ($37,107 [SD = $67,833] vs $27,800 [SD = $43,854], P = 0.004). On multivariable analysis, percutaneous drainage (adjusted hazard ratio [HR], 1.38; 95% confidence interval [CI], 1.02-1.86; P = 0.039), older age (hazard ratio [HR], 1.04; 95% CI, 1.01-1.04; P < 0.001), intensive care unit stay (HR, 1.02; 95% CI, 1.01-1.03; P < 0.001), and multiple comorbidities (HR, 1.07; 95% CI, 1.05-1.09; P < 0.001) were significantly associated with mortality. Percutaneous drainage (adjusted odds ratio [OR], 1.30; 95% CI, 1.04-1.63; P = 0.027) and older age (OR, 0.98; 95% CI, 0.97-0.99; P < 0.001) were significantly associated with rehospitalizations. CONCLUSIONS: As percutaneous drainage may be associated with higher mortality, rehospitalization, and costs, when requisite expertise is available, endoscopy should be preferred for treatment of PFC amenable to such an approach. Randomized trials are required to validate these findings.

Inflammatory bowel disease-associated colorectal cancer negatively affects surgery outcomes and health care costs.

BACKGROUND: Inflammatory bowel disease may affect the pathogenesis and clinicopathologic course of colorectal cancer. We sought to characterize the impact of inflammatory bowel disease on outcomes after colectomy and/or proctectomy for a malignant indication. METHODS: Patients diagnosed with colorectal cancer as well as a pre-existing comorbid diagnosis of Crohn's disease or ulcerative colitis between 2018 and 2021 were identified from Medicare claims data. The postoperative textbook outcome was defined as the absence of complications, as well as no extended hospital stay, 90-day readmission, or mortality. Postdischarge disposition and expenditures were also examined. RESULTS: Among 191,684 patients with colorectal cancer, 4,770 (2.5%) had a pre-existing diagnosis of inflammatory bowel disease. Patients with inflammatory bowel disease-associated colorectal cancer were less likely to undergo surgical resection (no inflammatory bowel disease: 47.6% vs inflammatory bowel disease: 42.1%; P < .001). Among patients who did undergo colorectal surgery, individuals with inflammatory bowel disease were less likely to achieve a textbook outcome (odds ratio 0.64 [95% confidence interval 0.58-0.70]). In particular, patients with inflammatory bowel disease had higher odds of postoperative complications (odds ratio 1.24 [1.12-1.38]), extended hospital stay (odds ratio 1.41 [1.27-1.58]), and readmission within 90 days (odds ratio 1.56 [1.42-1.72]) (all P < .05). Patients with inflammatory bowel disease-associated colorectal cancer were less likely to be discharged to their home under independent care (odds ratio 0.77 [0.68-0.87]) and had 12.2% higher expenditures, which correlated with whether the patient had a postoperative textbook outcome. CONCLUSION: One in 40 patients with colorectal cancer had concomitant inflammatory bowel disease. Inflammatory bowel disease was associated with a lower probability of achieving ideal postoperative outcomes, higher postdischarge expenditure, as well as worse long-term survival after colorectal cancer resection.

Early Experiences With Bundled Payments for Care Improvement for Major Bowel Surgery.

BACKGROUND: Bundled Payment (BP) models are becoming more common in surgery. We share our early experiences with Bundled Payments for Care Improvement for major bowel surgery. METHODS: Patients undergoing major bowel surgery between January and October 2021 were identified using Medicare Severity-Diagnosis Related Group (MS-DRG) codes. Major drivers of cost in a BP model are reported and compared to the Fee-For-Service (FFS) payment model. RESULTS: A total of 202 cases (173 FFS vs 29 BP) were analyzed. The mean BP cost per Clinical Episode was $28,340. Eleven patients (38%) in the BP model had costs greater than the Target Price. The drivers of cost in the BP model were 59% acute care facility, 17% physician services, 9% post-acute care facilities, 8% other, and 7% readmissions. Clinical Episode of care costs varied considerably by MS-DRG case complexity. Robotic surgery increased costs by 35% (mean increase $3724, P < .01). The 90-day readmission rate was 17% for a mean cost of $11,332 per readmission. Three patients (10%) were discharged to a skilled nursing facility at an average cost of $11,009, while fifteen patients (52%) received home health services at a mean cost of $2947. Acute care facility costs were similar in the BP vs FFS groups (mean difference $1333, P = .22). CONCLUSIONS: Patients undergoing major bowel surgery are a heterogeneous population. Physicians are ideally positioned to deliver high-value, patient-centered care and are crucial to the success of a BP model. The post-acute care setting is a key component of improving efficiency and quality of care.

Same day discharge colon surgery: is it financially worth it?

AIM: Same day discharge (SDD) for colorectal surgery shows increasing promise in the era of enhanced recovery after surgery protocols and minimally invasive surgery. It has become increasingly relevant due to the constraints posed by the COVID-19 pandemic. The aim of this study was to compare SDD and postoperative day 1 (POD1) discharge to understand the clinical outcomes and financial impact on factors such as cost, charge, revenue, contribution margin and readmission. METHOD: A retrospective review of colectomies was performed at a single institution over a 2-year period (n = 143). Two populations were identified: SDD (n = 51) and POD1 (n = 92). Patients were selected by International Statistical Classification of Diseases and Related Health Problems-10 (ICD-10) and Diagnosis Related Grouper (DRG) codes. RESULTS: There was a statistically significant difference favouring SDD in total hospital cost (p < 0.0001), average direct costs (p < 0.0001) and average charges (p < 0.0016). SDD average hospital costs were $8699 (values in USD throughout) compared with $11 652 for POD 1 (p < 0.0001), and average SDD hospital charges were $85 506 compared with $97 008 for POD1 (p < 0.0016). The net revenue for SDD was $22 319 while for POD1 it was $26 173 (p = 0.14). Upon comparison of contribution margins (SDD $13 620 vs. POD1 $14 522), the difference was not statistically significant (p = 0.73). There were no identified statistically significant differences in operating room time, robotic console time, readmission rates or surgical complications. CONCLUSIONS: Amidst the pandemic-related constraints, we found that SDD was associated with lower hospital costs and comparable contribution margins compared with POD1. Additionally, the study was unable to identify any significant difference between operating time, readmissions, and surgical complications when performing SDD.

Reconciliation Payments in the Bundled Payments for Care Improvement Advanced Program and Reductions in Clinical Spending Needed for CMS to Avoid Financial Losses.

This study examines the magnitude of reconciliation payments and clinical spending reductions necessary for the Centers for Medicare & Medicaid Services to break even in the first 4 performance periods of the BPCI-A (Bundled Payments for Care Improvement Advanced) program.

Differences in Treatment Patterns and Outcomes of Acute Myocardial Infarction for Low- and High-Income Patients in 6 Countries.

Importance: Differences in the organization and financing of health systems may produce more or less equitable outcomes for advantaged vs disadvantaged populations. We compared treatments and outcomes of older high- and low-income patients across 6 countries. Objective: To determine whether treatment patterns and outcomes for patients presenting with acute myocardial infarction differ for low- vs high-income individuals across 6 countries. Design, Setting, and Participants: Serial cross-sectional cohort study of all adults aged 66 years or older hospitalized with acute myocardial infarction from 2013 through 2018 in the US, Canada, England, the Netherlands, Taiwan, and Israel using population-representative administrative data. Exposures: Being in the top and bottom quintile of income within and across countries. Main Outcomes and Measures: Thirty-day and 1-year mortality; secondary outcomes included rates of cardiac catheterization and revascularization, length of stay, and readmission rates. Results: We studied 289 376 patients hospitalized with ST-segment elevation myocardial infarction (STEMI) and 843 046 hospitalized with non-STEMI (NSTEMI). Adjusted 30-day mortality generally was 1 to 3 percentage points lower for high-income patients. For instance, 30-day mortality among patients admitted with STEMI in the Netherlands was 10.2% for those with high income vs 13.1% for those with low income (difference, -2.8 percentage points [95% CI, -4.1 to -1.5]). One-year mortality differences for STEMI were even larger than 30-day mortality, with the highest difference in Israel (16.2% vs 25.3%; difference, -9.1 percentage points [95% CI, -16.7 to -1.6]). In all countries, rates of cardiac catheterization and percutaneous coronary intervention were higher among high- vs low-income populations, with absolute differences ranging from 1 to 6 percentage points (eg, 73.6% vs 67.4%; difference, 6.1 percentage points [95% CI, 1.2 to 11.0] for percutaneous intervention in England for STEMI). Rates of coronary artery bypass graft surgery for patients with STEMI in low- vs high-income strata were similar but for NSTEMI were generally 1 to 2 percentage points higher among high-income patients (eg, 12.5% vs 11.0% in the US; difference, 1.5 percentage points [95% CI, 1.3 to 1.8 ]). Thirty-day readmission rates generally also were 1 to 3 percentage points lower and hospital length of stay generally was 0.2 to 0.5 days shorter for high-income patients. Conclusions and Relevance: High-income individuals had substantially better survival and were more likely to receive lifesaving revascularization and had shorter hospital lengths of stay and fewer readmissions across almost all countries. Our results suggest that income-based disparities were present even in countries with universal health insurance and robust social safety net systems.

Racial Disparities in the Cost of Unplanned Hospitalizations after Breast Reconstruction.

BACKGROUND: Given the national attention to disparities in health care, understanding variation provided to minorities becomes increasingly important. This study will examine the effect of race on the rate and cost of unplanned hospitalizations after breast reconstruction procedures. METHODS: The authors performed an analysis comparing patients undergoing implant-based and autologous breast reconstruction in the Healthcare Cost and Utilization Project. The authors evaluated the rate of unplanned hospitalizations and associated expenditures among patients of different races. Multivariable analyses were performed to determine the association among race and readmissions and health care expenditures. RESULTS: The cohort included 17,042 patients. The rate of an unplanned visit was 5%. The rates of readmissions among black patients (6%) and Hispanic patients (7%) in this study are higher compared with white patients (5%). However, after controlling for patient-level characteristics, race was not an independent predictor of an unplanned visit. In our expenditure model, black patients [adjusted cost ratio, 1.35 (95% CI, 1.11 to 1.66)] and Hispanic patients [adjusted cost ratio, 1.34 (95% CI, 1.08 to 1.65)] experienced greater cost for their readmission compared with white patients. CONCLUSIONS: Although race is not an independent predictor of an unplanned hospital visit after surgery, racial minorities bear a higher cost burden after controlling for insurance status, further stimulating health care disparities. Adjusted payment models may be a strategy to reduce disparities in surgical care. In addition, direct and indirect measures of disparities should be used when examining health care disparities to identify consequences of inequities more robustly.

The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge.

OBJECTIVES: The machine learning prediction model Pacmed Critical (PC), currently under development, may guide intensivists in their decision-making process on the most appropriate time to discharge a patient from the intensive care unit (ICU). Given the financial pressure on healthcare budgets, this study assessed whether PC has the potential to be cost-effective compared with standard care, without the use of PC, for Dutch patients in the ICU from a societal perspective. METHODS: A 1-year, 7-state Markov model reflecting the ICU care pathway and incorporating the PC decision tool was developed. A hypothetical cohort of 1000 adult Dutch patients admitted in the ICU was entered in the model. We used the literature, expert opinion, and data from Amsterdam University Medical Center for model parameters. The uncertainty surrounding the incremental cost-effectiveness ratio was assessed using deterministic and probabilistic sensitivity analyses and scenario analyses. RESULTS: PC was a cost-effective strategy with an incremental cost-effectiveness ratio of €18 507 per quality-adjusted life-year. PC remained cost-effective over standard care in multiple scenarios and sensitivity analyses. The likelihood that PC will be cost-effective was 71% at a willingness-to-pay threshold of €30 000 per quality-adjusted life-year. The key driver of the results was the parameter "reduction in ICU length of stay." CONCLUSIONS: We showed that PC has the potential to be cost-effective for Dutch ICUs in a time horizon of 1 year. This study is one of the first cost-effectiveness analyses of a machine learning device. Further research is needed to validate the effectiveness of PC, thereby focusing on the key parameter "reduction in ICU length of stay" and potential spill-over effects.

Evaluation of Length of Stay, Care Volume, In-Hospital Mortality, and Emergency Readmission Rate Associated With Use of Diagnosis-Related Groups for Internal Resource Allocation in Public Hospitals in Hong Kong.

Importance: Hong Kong's internal resource allocation system for public inpatient care changed from a global budget system to one based on diagnosis-related groups (DRGs) in 2009 and returned to a global budget system in 2012. Changes in patient and hospital outcomes associated with moving from a DRG-based system to a global budget system for inpatient care have rarely been evaluated. Objective: To examine associations between the introduction and discontinuation of DRGs and changes in length of stay, volume of care, in-hospital mortality rates, and emergency readmission rates in the inpatient population in acute care hospitals overall, stratified by age group, and across 5 medical conditions. Design, Setting, and Participants: This cross-sectional study included data from patients aged 45 years or older who were hospitalized in public acute care settings in Hong Kong before the introduction (April 2006 to March 2009), during implementation (April 2009 to March 2012), and after discontinuation (April 2012 to November 2014) of the DRG scheme. Data analysis was conducted from January to June 2021. Exposures: Public hospitals transitioned from a global budget payment system to a DRG-based system in April 2009 and returned to a global budget system in April 2014. Main Outcomes and Measures: The main outcome was the association of use of DRGs with patient-level length of stay, in-hospital mortality rate, 1-month emergency readmission rate, and population-level number of admissions per month. An interrupted time series design was used to estimate changes in the level and slope of outcome variables after introduction and discontinuation of DRGs, accounting for pretrends. Results: This study included 7 604 390 patient episodes. Overall, the mean (SD) age of patients was 68.97 (13.20) years, and 52.17% were male. The introduction of DRGs was associated with a 1.77% (95% CI, 1.23%-2.32%) decrease in the mean length of stay, a 2.90% (95% CI, 2.52%-3.28%) increase in the number of patients admitted, a 4.12% (95% CI, 1.89%-6.35%) reduction in in-hospital mortality, and a 2.37% (95% CI, 1.28%-3.46%) decrease in emergency readmissions. Discontinuation of the DRG scheme was associated with a 0.93% (95% CI, 0.42%-1.44%) increase in the mean length of stay and a 1.82% (95% CI, 1.47%-2.17%) reduction in the number of patients treated after adjusting for covariates; no statistically significant change was observed in in-hospital mortality (-0.14%; 95% CI, -2.29% to 2.01%) or emergency readmission rate (-0.29%; 95% CI, -1.30% to 0.71%). Conclusions and Relevance: In this cross-sectional study, the introduction of DRGs was associated with shorter lengths of stay and increased hospital volume, and discontinuation was associated with longer lengths of stay and decreased hospital volume. In-hospital mortality and emergency readmission rates did not significantly change after discontinuation of DRGs.

Acute respiratory distress syndrome readmissions: A nationwide cross-sectional analysis of epidemiology and costs of care.

BACKGROUND: Acute Respiratory Distress Syndrome affects approximately 10% of patients admitted to intensive care units internationally, with as many as 40%-52% of patients reporting re-hospitalization within one year. RESEARCH QUESTION/AIM: To describe the epidemiology of patients with acute respiratory distress syndrome who require 30-day readmission, and to describe associated costs. STUDY DESIGN AND METHODS: A cross-sectional analysis of the 2016 Healthcare Cost and Utilization Project's Nationwide Readmission Database, which is a population-based administrative database which includes discharge data from U.S. hospitals. Inclusion criteria: hospital discharge records for adults age > 17 years old, with a diagnosis of ARDS on index admission, with associated procedure codes for endotracheal intubation and/or invasive mechanical ventilation, who were discharged alive. Primary exposure is adult hospitalization for meeting criteria as described. The primary outcome measure is 30-day readmission rate, as well as patient characteristics and time distribution of readmissions. RESULTS: Nationally, 25,170 admissions meeting criteria were identified. Index admission mortality rate was 37.5% (95% confidence interval [CI], 36.2-38.8). 15,730 records of those surviving hospitalization had complete discharge information. 30-day readmission rate was 18.4%, with 14% of total readmissions occurring within 2 calendar days of discharge; these early readmissions had higher mortality risk (odds ratio 1.82, 95% CI 1.05-6.56) compared with readmission in subsequent days. For the closest all-cause readmission within 30 days, the mean cost was $26,971, with a total national cost of over $75.6 million. INTERPRETATION: Thirty-day readmission occurred in 18.4% of patients with acute respiratory distress syndrome in this sample, and early readmission is strongly associated with increased mortality compared to late readmission. Further research is needed to clarify whether the rehospitalizations or associated mortalities are preventable.

Burden and Cost of Gastrointestinal, Liver, and Pancreatic Diseases in the United States: Update 2021.

BACKGROUND & AIMS: Gastrointestinal diseases account for considerable health care use and expenditures. We estimated the annual burden, costs, and research funding associated with gastrointestinal, liver, and pancreatic diseases in the United States. METHODS: We generated estimates using data from the National Ambulatory Medical Care Survey; National Hospital Ambulatory Medical Care Survey; Nationwide Emergency Department Sample; National Inpatient Sample; Kids' Inpatient Database; Nationwide Readmissions Database; Surveillance, Epidemiology, and End Results program; National Vital Statistics System; Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research; MarketScan Commercial Claims and Encounters data; MarketScan Medicare Supplemental data; United Network for Organ Sharing registry; Medical Expenditure Panel Survey; and National Institutes of Health (NIH). RESULTS: Gastrointestinal health care expenditures totaled $119.6 billion in 2018. Annually, there were more than 36.8 million ambulatory visits for gastrointestinal symptoms and 43.4 million ambulatory visits with a primary gastrointestinal diagnosis. Hospitalizations for a principal gastrointestinal diagnosis accounted for more than 3.8 million admissions, with 403,699 readmissions. A total of 22.2 million gastrointestinal endoscopies were performed, and 284,844 new gastrointestinal cancers were diagnosed. Gastrointestinal diseases and cancers caused 255,407 deaths. The NIH supported $3.1 billion (7.5% of the NIH budget) for gastrointestinal research in 2020. CONCLUSIONS: Gastrointestinal diseases are responsible for millions of health care encounters and hundreds of thousands of deaths that annually costs billions of dollars in the United States. To reduce the high burden of gastrointestinal diseases, focused clinical and public health efforts, supported by additional research funding, are warranted.

Lessons learned from value-based pediatric appendectomy care: A shared savings pilot model.

PURPOSE: We aim to assess the healthcare value achieved from a shared savings program for pediatric appendectomy. METHODS: All appendectomy patients covered by our health plan were included. Quality targets were 15% reduction in time to surgery, length of stay, readmission rate, and patient satisfaction. Quality targets and costs for an appendectomy episode in two 6-month performance periods (PP1, PP2) were compared to baseline. RESULTS: 640 patients were included (baseline:317, PP1:167, PP2:156). No quality targets were met in PP1. Two quality targets were met during PP2: readmission rate (-57%) and patient satisfaction. No savings were realized because the cost reduction threshold (-9%) was not met during PP1 (+1.7%) or PP2 (-0.4%). CONCLUSIONS: Payer-provider partnerships can be a platform for testing value-based reimbursement models. Setting achievable targets, identifying affectable quality metrics, considering case mix index, and allowing sufficient time for interventions to generate cost savings should be considered in future programs.