Search Results (249)

Postoperative ileus is a prolonged impairment of gastrointestinal motility following surgical procedures. This often leads to increased morbidity, extended hospital stays, and high healthcare expenditures. In this review, we discuss the pathophysiology underlying postoperative ileus, its epidemiology, and perioperative management strategies. Patient characteristics, as well as expected perioperative course, could be used to stratify the risks of postoperative ileus. Preventive measures hinge upon a multimodal approach, minimally invasive surgical techniques, fluid management, early postoperative ambulation, and opioid-sparing analgesia strategies. Adjuvant interventions such as alvimopan, caffeine, and chewing gum have demonstrated efficacy in modulating the neurogenic and inflammatory components of postoperative ileus. Minimally invasive approaches, comprehensive perioperative management, and adjuvant therapies hold promise for prevention. Current management relies heavily on supportive care, underscoring the need for research into the underlying neurogenic and inflammatory mechanisms to guide the development of targeted treatments. Full article

The continued migration of physicians from independent practice to affiliation with larger entities has garnered significant scrutiny. These affiliation models include hospitals and health systems, payers and corporate entities, and management services organizations, which may or may not be private equity (PE)-backed. Data on the impact of different physician affiliation models on cost of care is limited. We examined the relationship between provider affiliation model, site of care (SOC), and cost of care for certain high-volume procedures in procedure-intensive specialties for both Medicare and commercial insurance. We found that hospital-affiliated physicians are least likely—and PE-affiliated physicians are most likely—to provide care in lower-cost settings. For both Medicare and commercial insurance, SOC contributes meaningfully to procedure unit price, which is consistently greater in hospital-based settings. These findings suggest that the physician affiliation model and associated SOC cost differentials contribute materially to healthcare expenditures. As the Medicare cost differentials are set by statute and regulations, strategies such as site-neutral payments are needed to mitigate the monetary impact of historical and future physician practice migration. Full article

Background and Objectives: The worldwide shift toward psychiatric deinstitutionalization has aimed to enhance patient autonomy, social integration, and overall quality of life. However, limited studies have examined how concurrent substance use—particularly alcohol, marijuana, and inhalable drugs—affects clinical outcomes in these populations. This study aimed to evaluate psychiatric patients with varying degrees of institutionalization and investigate whether substance use complicates or exacerbates treatment outcomes. We hypothesized that individuals using substances would demonstrate worse psychosocial functioning, higher healthcare costs, and increased readmission rates. Methods: We performed a cross-sectional study of 95 participants recruited from long-term care facilities. Participants completed the SF-36 survey validated in Romanian. Financial data were collected to gauge direct and indirect healthcare expenditures. Results: Results indicated that 34.7% of participants reported alcohol use, 12.6% used marijuana, and 9.5% used inhalable substances. Substance-using patients experienced higher mean hospitalization costs of approximately USD 3251.8, compared to non-users (USD 2743.6, p = 0.032). Quality-of-life scores were significantly lower among substance users (mean SF-36 score 58.4 vs. 66.7, p = 0.027). Rates of relapse and readmission were also notably higher in the substance-using cohort (42.1%) relative to non-users (29.8%, p = 0.041). Conclusions: To our knowledge, this is the first Romanian study—and one of only a handful in Europe—to quantify how specific substance-use profiles simultaneously alter quality of life and direct healthcare costs in a deinstitutionalized psychiatric population. Our findings highlight the need for integrated interventions targeting both mental health and substance abuse. Full article

Background/Objectives: European healthcare systems are increasingly adopting automation technologies to improve efficiency. This study evaluates the economic viability of hospital automation and medication management digitalization. Methods: An economic evaluation was based on a standardized hospital model comprising 561 beds, representative of an average acute care hospital across EU27 + UK. For each technology, several cost items were estimated using country-specific parameters such as labor costs, medication error rates, healthcare expenditure, and money discount rate. The financial metrics (Return On Investment—ROI, Net Present Value—NPV, Payback Time—PBT) were first calculated at the hospital level. These results were then extrapolated to the national level by scaling the per-hospital estimates according to the total number of hospital beds reported in each country. Finally, national results were aggregated to derive the overall European impact. Results: The analysis estimated a total European investment of EUR 3.55 billion, with an average PBT of 4.46 years and annual savings of 1,96 billion. ROI averaged 167%, and the total NPV was 8.21 billion. A major saving driver was the reduction in Medication Administration Errors that has an impact of 37.2% on the total savings. Payback times ranged from 3 years in high-GDP countries, to 7 years in lower-GDP nations. Conclusions: These findings demonstrate how providing structured data on hospital automation benefits could support decision-making processes, highlighting the organizational and economic feasibility of the investment across different European national contexts. Full article

Background: Delirium frequently manifests in hospitalized geriatric patients and is associated with negative health outcomes. Available large-scale data regarding its prevalence rate and impact on older Thai patients are limited. This study aimed to analyze trends in the prevalence rate, its consequences, and the factors contributing to death at discharge among this population. Methods: A retrospective study of inpatients over the age of 60 who received a diagnosis of delirium was conducted, utilizing inpatient medical expense documentation for the fiscal years 2019–2023. The identification of delirium was conducted by the National Health Security Office using the International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Thai Modification (ICD-10-TM) code F05. Results: The 5-year prevalence rate and mortality rate of delirium were 215.1 and 18.7/100,000 population, respectively, and tended to rise over the studied periods. The average hospitalization was 10 days, and the average healthcare expenditure was about 1470 USD/visit. Respiratory disease emerged as the most common primary diagnosis in delirious patients (23.5%). Factors associated with mortality were individuals aged >80 years when juxtaposed with the cohort aged 61–70 years (adjusted odds ratio [AOD] 1.07), being female (AOR 1.13), and a primary diagnosis of respiratory disease (AOR 2.72), cardiovascular disease (AOR 1.68), musculoskeletal disease (AOR 0.61), systemic infection/septicemia (AOR 2.08); or malignancy (AOR 2.97). Conclusions: There was an upward trend in rates of both prevalence and mortality associated with delirium among hospitalized geriatric patients. Advancing age, gender, and particular primary diagnoses were associated with mortality at hospital discharge. Full article

Neglecting preventive healthcare policies has contributed to the global surge in chronic diseases, increased hospitalizations, declining quality of care, and escalating costs. Non-communicable diseases (NCDs)—notably cardiovascular conditions, diabetes, and cancer—consume over 80% of healthcare expenditure and account for more than 60% of global deaths, which are projected to exceed 75% by 2030. Poor diets, sedentary lifestyles, regulatory loopholes, and underfunded public health initiatives are driving this crisis. Compounding the issue are flawed policies, congressional lobbying, and conflicts of interest that prioritize costly, hospital-based, symptom-driven care over identifying and treating to eliminate root causes and disease prevention. Regulatory agencies are failing to deliver their intended functions. For instance, the U.S. Food and Drug Administration’s (FDA) broad oversight across drugs, devices, food, and supplements has resulted in inefficiencies, reduced transparency, and public safety risks. This broad mandate has allowed the release of unsafe drugs, food additives, and supplements, contributing to the rising childhood diseases, the burden of chronic illness, and over-medicalization. The author proposes separating oversight responsibilities: transferring authority over food, supplements, and OTC products to a new Food and Nutraceutical Agency (FNA), allowing the FDA to be restructured as the Drug and Device Agency (DDA), to refocus on pharmaceuticals and medical devices. While complete reform requires Congressional action, interim policy shifts are urgently needed to improve public health. Broader structural changes—including overhauling the Affordable Care Act, eliminating waste and fraud, redesigning regulatory and insurance systems, and eliminating intermediaries are essential to reducing costs, improving care, and transforming national and global health outcomes. The information provided herein can serve as a White Paper to help reform health agencies and healthcare systems for greater efficiency and lower costs in the USA and globally. Full article

Background/Objectives: Malnutrition is prevalent among hospitalized older adults with multimorbidity, leading to adverse health outcomes and increased healthcare costs. An accurate assessment of resting energy expenditure (REE) is crucial because an inaccurate estimation of energy needs may result in unintentional underfeeding or overfeeding, both of which can worsen nutritional status and clinical outcomes. While indirect calorimetry (IC) is the preferred method, its clinical applicability is limited. Prediction equations are commonly used, but their accuracy in older Asian patients with multimorbidity remains unclear. Methods: This multicenter, cross-sectional study enrolled 400 patients aged ≥65 years from March to December 2023 in Outram Community Hospital (OCH) and Sengkang Community Hospital (SKCH). Participants’ REE was measured using indirect calorimetry. We compared the performance of the newly developed novel prediction equations (PEs), derived from readily accessible or easily measured anthropometric data, against established equations. Statistical analysis included the calculation of R², the root mean square error (RMSE), and the intraclass correlation coefficient (ICC) to assess reliability and goodness of fit. Results: A high prevalence (85%) of multimorbidity was observed among the participants. REE increased progressively with body mass index (BMI) across all groups (865.6–1269.4 kcal in females; 889.1–1269.4 kcal in males). The novel PEs (RMSE: 186–191; ICC: 0.5–0.52) demonstrated improved accuracy and stronger reliability compared to conventional equations (RMSE: 222–258; ICC: 0.271–0.460). Conclusions: Our newly developed PEs offer potentially valuable tools for precise REE estimation in hospitalized older Asian patients with multimorbidity. Further external validation and investigation in diverse populations are necessary to confirm these results. Full article

Objectives: We investigate the long-run impact of changes in prescription drug sales on mortality and hospital utilization in Belgium during the first two decades of the 21st century. Methods: We analyze the correlation across diseases between changes in the drugs used to treat the disease and changes in mortality or hospital utilization from that disease. The measure of the change in prescription drug sales we use is the long-run (1998–2018 or 2000–2019) change in the fraction of post-1999 drugs sold. A post-1999 drug is a drug that was not sold during 1989–1999. Results: The 1998–2018 increase in the fraction of post-1999 drugs sold is estimated to have reduced the number of years of life lost before ages 85, 75, and 65 in 2018 by about 438 thousand (31%), 225 thousand (31%), and 114 thousand (32%), respectively. The 1995–2014 increase in in the fraction of post-1999 drugs sold is estimated to have reduced the number of hospital days in 2019 by 2.66 million (20%). Conclusions: Even if we ignore the reduction in hospital utilization attributable to changes in pharmaceutical consumption, a conservative estimate of the 2018 cost per life-year before age 85 gained is EUR 6824. We estimate that previous changes in pharmaceutical consumption reduced 2019 expenditure on inpatient curative and rehabilitative care by EUR 3.55 billion, which is higher than the 2018 expenditure on drugs that were authorized during the period 1998–2018: EUR 2.99 billion. Full article

Background: There is limited knowledge about nutritional intake and energy needs during the post-intensive care unit (ICU) period and their relationship with clinical outcomes and physical recovery. Aims and Methods: Thus, this observational multicenter study (Azienda Ospedaliero-Universitaria “Santa Maria”, Terni and “Madonna del Soccorso” General hospital, San Benedetto del Tronto, Italy) aimed, firstly, to measure energy expenditure via indirect calorimetry (IC) (Q-NRG+^® Metabolic Monitor, Cosmed, Rome, Italy), derived respiratory quotient (R/Q1) and, malnutrition risk via Mini Nutritional Assessment (MNA) test and body composition through bioimpedance vector analysis (BIVA-Akern, Pontassieve, Italy); secondly, to assess their effect on energy needs, body composition and physical rehabilitation steps in critically ill adults after ICU discharge. The provision of nutrients (PIS test) was also recorded. Oral nutritional supplementation was used to reach the optimal nutritional intake. All patients followed a standardized rehabilitation program. Results: A total of 43 patients were enrolled from January 2024 until February 2025 at the beginning of their post-ICU period. The mean age was 65.7 ± 1.0 years, the mean BMI was 20.73 ± 0.8 kg/m² at the recovery ward, and 60.4% (n = 26) were male. The mean admission period was 19.5 ± 1.7 days. The resting energy expenditure (mREE) was 1591 ± 71.2 at the admission and 1.856 ± 62.7 kcal/kg/d at the discharge (p < 0.05). The median phase angle value was 4.33 ± 0.15 at the admission and 5.05 ± 0.17° at the discharge (p < 0.05); R/Q1 at the admission was 0.7 ± 0.1 and 1.086± 0.11 at the discharge (p < 0.05). Improved energy expenditure significantly correlated with R/Q1 and phase angle (r = 0.81 and r = 0.72, respectively). Interestingly, there was no significant correlation between improved metabolism and improved PIS test scores (r = 0.18). Improved metabolism and nutritional status showed a tendency to correlate with shorter post-ICU courses and earlier physical recovery, without reaching statistical significance. Conclusions: Measurement of energy expenditure and caloric intake, along with the assessment of body composition is feasible and provides an objective tool to guide and possibly enhance the functional recovery in patients during the post-ICU period. Full article

Background/Objectives: The phase angle (PhA) is an emerging biomarker reflecting the cellular integrity and nutritional status. This study aimed to explore potential associations between the PhA, clinical severity scores, and 60-day survival outcomes following an admission to the Intensive Care Unit (ICU). Methods: This prospective, single-center study included 43 critically ill patients admitted to the ICU at Evangelismos General Hospital between May and November 2024. Patients were stratified by their PhA (≤5.4° vs. >5.4°). The PhA was measured at admission and subsequently on days 5–7, 10–11, 13–14, and until discharge. Severity scores (SOFA and APACHE II) were recorded. Between-group differences were assessed using independent samples t-tests and Mann–Whitney U tests, as appropriate. Survival was analyzed using Kaplan–Meier curves and Cox proportional hazards models. Results: The mean age was 54.6 ± 17 years; 63.6% were male. At ICU admission, patients with a PhA > 5.4° were significantly younger (p < 0.001) and had a higher fat-free mass (p < 0.001), greater calf circumference (p < 0.001), higher extracellular water (p < 0.001), larger mid-upper arm circumference (p = 0.009), and higher resting energy expenditure per kilogram (27.4 vs. 23.1 kcal/kg, p = 0.002). The PhA declined significantly during the ICU stay (p < 0.001). The Kaplan–Meier analysis showed a significantly shorter survival in patients with a PhA ≤ 5.4° (HR: 6.32, p = 0.019), which remained significant after adjusting for sepsis (p = 0.017). In a multivariable Cox regression, both PhA and APACHE II scores independently predicted mortality. Conclusions: While limited by a small sample size and single-center design, these findings support the further exploration of the PhA as a monitoring tool in critical care. Full article

Healthcare expenditures in Australia have grown steadily in recent years, intensifying fiscal pressures and exposing challenges related to unequal resource distribution. While traditional statistical methods struggle to capture complex data relationships, machine learning offers a more robust approach to handling intricate and non-linear data. This study employs machine learning techniques to investigate the key determinants of healthcare expenditures in Australia from 2011 to 2021. Using advanced models, including Random Forest, XGBoost, and Multi-Layer Perceptron (MLP), along with SHAP (SHapley Additive exPlanations) analysis, we identify the most influential factors driving healthcare spending. The results reveal that funding sources, public hospital services, and geographic disparities are the primary predictors of expenditure trends. Notably, funding allocation mechanisms and regional inequities emerge as critical influences on spending patterns. By integrating feature importance metrics with SHAP analysis, this study enhances model interpretability and offers actionable insights for policymakers. The findings underscore the urgent need to optimize resource allocation and address regional disparities to promote the sustainability and equity of Australia’s healthcare system. Full article

In this paper, we utilize the 2019/20 Uganda National Household Survey data to answer three related questions: (i) To what extent did out-of-pocket payments (OOPs) for health care services exceed the threshold for household financial catastrophe amidst COVID-19? (ii) What is the impoverishing effect of OOPs for health care services on household welfare? (iii) What are the socioeconomic and demographic determinants of OOPs for health care services in Uganda? Leveraging three health expenditure thresholds (10%, 25%, and 40%), we run a Tobit model for “left-censored” health expenditures and quantile regressions, and we find that among households which incur any form of health care expense, 37.7%, 33.6%, and 28.7% spend more than 10%, 25%, and 40% of their non-food expenditures on health care, respectively. Their average OOP budget share exceeds the respective thresholds by 82.9, 78.0, and 75.8 percentage points. While, on average, household expenditures on medicine increased amidst the COVID-19 pandemic, expenditures on consultations, transport, traditional doctors’ medicines, and other unbroken hospital charges were reduced during the same period. We find that the comparatively low incidence and intensity of catastrophic health expenditures (CHEs) in the pandemic period was not necessarily due to low household health spending, but due to foregone and substituted care. Precisely, considering the entire weighted sample, about 22% of Ugandans did not seek medical care during the pandemic due to a lack of funds, compared to 18.6% in the pre-pandemic period. More Ugandans substituted medical care from health facilities with herbs and home remedies. We further find that a 10% increase in OOPs reduces household food consumption expenditures by 2.6%. This modality of health care financing, where households incur CHEs, keeps people in chronic poverty. Full article

Background: Irritable bowel syndrome (IBS) is a prevalent disorder of gut–brain interaction (DGBI) with a negative impact on quality of life and healthcare expenditure. This study aimed to investigate sex-based differences in a large cohort of IBS patients from a multiracial safety-net hospital. Methods: An electronic query was performed using the International Classification of Diseases, 9th Revision (ICD-9) coding to identify 740 outpatients with IBS between 1 January 2005 and 30 September 2007. Demographic data and ICD-9 coded comorbidities were extracted from electronic records. Data analysis used descriptive statistics and multiple logistic regression analyses. Results: Comorbid anxiety and depression were significantly more prevalent in female patients (A:24%, p = 0.03; D:29%, p = 0.008) compared with male patients. White female IBS patients had a higher risk for anxiety but not depression compared with non-White patients (p = 0.02). Female sex (p = 0.02), obesity (p = 0.007), and age above fifty (p = 0.02) but not race/ethnicity were significant risk factors for depression. IBS with constipation was more prevalent in female patients (p = 0.005) and in Hispanic compared with non-Hispanic patients (p = 0.03). Conclusions: Significant sex-based and racial/ethnic differences were identified related to body mass index (BMI), age, and IBS subtypes in this study. Comorbid mood disorders occurred significantly more frequently in female patients, and risk factors for comorbid depression included female sex, older age, and obesity but not race/ethnicity. Full article

Although nutrition recommendations for patients with necrotizing soft tissue infections (NSTIs) often parallel those for patients with burn injuries, differences in the metabolic response to stress indicate that NSTIs require a unique approach. The sepsis and wound management associated with NSTIs trigger a metabolic response, driven by inflammatory and neuroendocrine changes, that leads to high circulating levels of cortisol, catecholamines, insulin, and pro-inflammatory cytokines. This metabolic response follows four phases of recovery (Early Acute; Late Acute; Persistent Inflammation, Immunosuppression, and Catabolism Syndrome; Recovery) that require a thoughtful approach to nutrition by risk screening, malnutrition assessment, and micronutrient deficiency assessment. Close monitoring of energy expenditure and protein needs is required for appropriate nutrition management. Nutrition intake after transfer from the intensive care unit and hospital discharge is often inadequate. Ongoing monitoring of nutrition intake at all outpatient follow-up appointments is necessary, regardless of the route of delivery, until the nutrition status stabilizes and any nutritional decline experienced during hospitalization has been corrected. Full article

The COVID-19 pandemic imposed a substantial burden on healthcare systems worldwide, yet reliable data on COVID-19 morbidity, mortality, and healthcare costs in Latin America remain limited. This study explored the disease and economic burden of COVID-19 in Argentina, Brazil, Chile, Colombia, Mexico, and Peru during the pre-vaccination period. Using national databases and a systematic review of the literature, we analyzed data on adults aged 18 and older, reporting cases, death rates, years of life lost, excess mortality, and direct medical costs. Before vaccination programs began, the average COVID-19 incidence rate was 6741 per 100,000 adults. Of these, 91% were mild cases, 7% moderate/severe, and 2% critical. Among 2,201,816 hospitalizations, 27.8% required intensive care, and 17.5% required mechanical ventilation. Excess mortality ranged from 76 to 557 per 100,000, and years of life lost spanned 241,089 to 3,312,346. Direct medical costs ranged from USD 258 million to USD 10,437 million, representing 2–5% of national health expenditures. The findings highlight significant variability across countries and provide crucial insights to help policymakers to make informed decisions and allocate resources effectively to improve national strategies around surveillance, preventive and treatment strategies to control the spread of COVID-19 disease in the future. Full article