Development and Optimization of Machine Learning Algorithms for Predicting In-hospital Patient Charges for Congestive Heart Failure Exacerbations, Chronic Obstructive Pulmonary Disease Exacerbations and Diabetic Ketoacidosis.

Background: Hospitalizations for exacerbations of congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD) and diabetic ketoacidosis (DKA) are costly in the United States. The purpose of this study was to predict in-hospital charges for each condition using machine learning (ML) models. Results: We conducted a retrospective cohort study on national discharge records of hospitalized adult patients from January 1st, 2016, to December 31st, 2019. We used numerous ML techniques to predict in-hospital total cost. We found that linear regression (LM), gradient boosting (GBM) and extreme gradient boosting (XGB) models had good predictive performance and were statistically equivalent, with training R-square values ranging from 0.49-0.95 for CHF, 0.56-0.95 for COPD, and 0.32-0.99 for DKA. We identified important key features driving costs, including patient age, length of stay, number of procedures. and elective/nonelective admission. Conclusions: ML methods may be used to accurately predict costs and identify drivers of high cost for COPD exacerbations, CHF exacerbations and DKA. Overall, our findings may inform future studies that seek to decrease the underlying high patient costs for these conditions.

Comparing opioid utilization and costs for surgical management of single-level spondylolisthesis: A national claims database analysis.

Introduction: The rise in degenerative lumbar spondylolisthesis (DLS) cases has led to a significant increase in fusion surgeries, which incur substantial hospitalization costs and often necessitate chronic opioid use for pain management. Recent evidence suggests that single-level low-grade DLS outcomes are comparable whether a fusion procedure or decompression alone is performed, sparking debate over the cost-effectiveness of these procedures, particularly with the advent of minimally invasive techniques reducing the morbidity of fusion. This study aims to compare chronic opioid utilization and associated costs between decompression alone and decompression with instrumented fusion for single-level degenerative lumbar spondylolisthesis. Material and methods: Using data from the PearlDiver database, a retrospective database analysis was conducted. We analyzed records of Medicare and Medicaid patients undergoing lumbar fusion or decompression from 2010 to 2022. Patient cohorts were divided into decompression alone (DA) and decompression with instrumented fusion (DIF). Chronic opioid use, pain clinic visits, and total costs were compared between the two groups at 90 days, 1 year, and 2 years post-surgery. Theory: Does DIF offer a more cost-effective approach to managing DLS in terms of chronic opioid use in single-level DLS patients. Results: The study revealed comparable chronic opioid use and pain clinic visits between DA and DIF groups at 90 days and 1 year. However, total costs associated with opioid prescriptions as well as surgical aftercare were significantly higher in the DIF group at 90 days (p < 0.05), 1 year (p < 0.05), and 2 years (p < 0.05) post-surgery compared to the DA group. Conclusions: This study highlights the higher costs associated with DIF up to 2 years post-surgery despite comparable symptom improvement when compared to DA and DIF at the 1-year interval. DA emerges as a more financially favorable option, challenging the notion of fusion's cost-offsetting benefits. While further investigation is needed to understand underlying cost drivers and optimize outcomes, our findings emphasize the necessity of integrating clinical and economic factors in the management of single-level DLS.

Medical App Treatment of Non-Specific Low Back Pain in the 12-month Cluster-Randomized Controlled Trial Rise-uP: Where Clinical Superiority Meets Cost Savings.

Purpose: Non-specific low back pain (NLBP) exerts a profound impact on global health and economics. In the era of Web 3.0, digital therapeutics offer the potential to improve NLBP management. The Rise-uP trial introduces a digitally anchored, general practitioner (GP)-focused back pain management approach with the Kaia back pain app as the key intervention. Here, we present the 12-months evaluation of the Rise-uP trial including clinical and economic outcomes, patient satisfaction and behavioral tracking analysis. Methods: The cluster-randomized controlled study (registration number: DRKS00015048) enrolled 1237 patients, with 930 receiving treatment according to the Rise-uP approach and 307 subjected to standard of care treatment. Assessments of pain, psychological state, functional capacity, and well-being (patient-reported outcome measures; PROMs) were collected at baseline, and at 3-, 6-, and 12-months follow-up intervals. Health insurance partners AOK, DAK, and BARMER provided individual healthcare cost data. An artificial intelligence (AI)-driven behavioral tracking analysis identified distinct app usage clusters that presented all with about the same clinical outcome. Patient satisfaction (patient-reported experience measures; PREMs) was captured at the end of the trial. Results: Intention-to-treat (ITT) analysis demonstrated that the Rise-uP group experienced significantly greater pain reduction at 12 months compared to the control group (IG: -46% vs CG: -24%; p < 0.001) with only the Rise-uP group achieving a pain reduction that was clinically meaningful. Improvements in all other PROMs were notably superior in patients of the Rise-uP group. The AI analysis of app usage discerned four usage clusters. Short- to long-term usage, all produced about the same level of pain reduction. Cost-effectiveness analysis indicated a substantial economic benefit for Rise-uP. Conclusion: The Rise-uP approach with a medical multimodal back pain app as the central element of digital treatment demonstrates both, clinical and economic superiority compared to standard of care in the management of NLBP.

Implementation, intervention, and downstream costs for implementation of a multidisciplinary complex pain clinic in the Veterans Health Administration.

OBJECTIVE: To determine the budget impact of implementing multidisciplinary complex pain clinics (MCPCs) for Veterans Health Administration (VA) patients living with complex chronic pain and substance use disorder comorbidities who are on risky opioid regimens. DATA SOURCES AND STUDY SETTING: We measured implementation costs for three MCPCs over 2 years using micro-costing methods. Intervention and downstream costs were obtained from the VA Managerial Cost Accounting System from 2 years prior to 2 years after opening of MCPCs. STUDY DESIGN: Staff at the three VA sites implementing MCPCs were supported by Implementation Facilitation. The intervention cohort was patients at MCPC sites who received treatment based on their history of chronic pain and risky opioid use. Intervention costs and downstream costs were estimated with a quasi-experimental study design using a propensity score-weighted difference-in-difference approach. The healthcare utilization costs of treated patients were compared with a control group having clinically similar characteristics and undergoing the standard route of care at neighboring VA medical centers. Cancer and hospice patients were excluded. DATA COLLECTION/EXTRACTION METHODS: Activity-based costing data acquired from MCPC sites were used to estimate implementation costs. Intervention and downstream costs were extracted from VA administrative data. PRINCIPAL FINDINGS: Average Implementation Facilitation costs ranged from $380 to $640 per month for each site. Upon opening of three MCPCs, average intervention costs per patient were significantly higher than the control group at two intervention sites. Downstream costs were significantly higher at only one of three intervention sites. Site-level differences were due to variation in inpatient costs, with some confounding likely due to the COVID-19 pandemic. This evidence suggests that necessary start-up investments are required to initiate MCPCs, with allocations of funds needed for implementation, intervention, and downstream costs. CONCLUSIONS: Incorporating implementation, intervention, and downstream costs in this evaluation provides a thorough budget impact analysis, which decision-makers may use when considering whether to expand effective programming.

Cross-sectional and longitudinal associations among healthcare costs and deficit accumulation.

BACKGROUND: Type 2 diabetes mellitus and overweight/obesity increase healthcare costs. Both are also associated with accelerated aging. However, the contributions of this accelerated aging to increased healthcare costs are unknown. METHODS: We use data from a 8-year longitudinal cohort followed at 16 U.S. clinical research sites. Participants were adults aged 45-76 years with established type 2 diabetes and overweight or obesity who had enrolled in the Action for Health in Diabetes clinical trial. They were randomly (1:1) assigned to either an intensive lifestyle intervention focused on weight loss versus a comparator of diabetes support and education. A validated deficit accumulation frailty index (FI) was used to characterize biological aging. Discounted annual healthcare costs were estimated using national databases in 2012 dollars. Descriptive characteristics were collected by trained and certified staff. RESULTS: Compared with participants in the lowest tertile (least frail) of baseline FI, those in the highest tertile (most frail) at Year 1 averaged $714 (42%) higher medication costs, $244 (22%) higher outpatient costs, and $800 (134%) higher hospitalization costs (p < 0.001). At Years 4 and 8, relatively greater increases in FI (third vs. first tertile) were associated with an approximate doubling of total healthcare costs (p < 0.001). Mean (95% confidence interval) relative annual savings in healthcare costs associated with randomization to the intensive lifestyle intervention were $437 ($195, $579) per year during Years 1-4 and $461 ($232, $690) per year during Years 1-8. These were attenuated and the 95% confidence interval no longer excluded $0 after adjustment for the annual FI differences from baseline. CONCLUSIONS: Deficit accumulation frailty tracks well with healthcare costs among adults with type 2 diabetes and overweight or obesity. It may serve as a useful marker to project healthcare needs and as an intermediate outcome in clinical trials.

The economic impact of suboptimal treatment and treatment switch among patients with Crohn's disease treated with a first-line biologic - A US retrospective claims database study.

AIMS: Suboptimal treatment indicators, including treatment switch, are common among patients with Crohn's disease (CD), but little is known about their associated healthcare resource utilization (HRU) and costs. This study assessed the impact of suboptimal treatment indicators on HRU and costs among adults with CD newly treated with a first-line biologic.METHODS: Adult patients with CD were identified in the IBM® MarketScan® Commercial Subset (10/01/2015-03/31/2020). The index date was defined as initiation of the first-line biologic, and the study period was defined as the 12 months following the index date. Patients were classified into Suboptimal Treatment and Optimal Treatment cohorts based on observed indicators of suboptimal treatment during the study period. Patients in the Suboptimal Treatment Cohort with a treatment switch were classified into the Treatment Switch Cohort and compared to patients with no treatment switch. All-cause HRU and costs were measured during the study period and assessed for patients with suboptimal vs optimal treatment and patients with vs without a treatment switch.RESULTS: The study included 4,006 patients (Suboptimal Treatment: 2,091, Optimal Treatment: 1,915). Treatment switch was a common indicator of suboptimal treatment (Treatment Switch: 640, No Treatment Switch: 3,366). HRU and costs were significantly higher among patients with suboptimal treatment than those with optimal treatment (annual costs: $92,043 vs $73,764; p < 0.01), and among those with a treatment switch than those with no treatment switch (annual costs: $95,689 vs $81,027; p < 0.01). Increases in the number of suboptimal treatment indicators were associated with increased costs.LIMITATIONS: Claims data were used to identify suboptimal treatment indicators based on observed treatment patterns; reasons for treatment decisions could not be assessed.CONCLUSION: This study demonstrates that patients with suboptimal treatment indicators, including treatment switch, incur substantially higher HRU and costs compared to patients receiving optimal treatment and those that do not switch treatments.

Potential Impact of Slowing Disease Progression in Early Symptomatic Alzheimer's Disease on Patient Quality of Life, Caregiver Time, and Total Societal Costs: Estimates Based on Findings from GERAS-US Study.

Background: Impact of Alzheimer's disease (AD) progression on patient health-related quality of life (HRQoL), caregiver time, and societal costs is not well characterized in early AD. Objective: To assess the association of change in cognition with HRQoL, caregiver time, and societal costs over 36 months, and estimate the impact of slowing disease progression on these outcomes. Methods: This post-hoc analysis included patients with amyloid-positive mild cognitive impairment (MCI) and mild AD dementia (MILD AD) from the 36-month GERAS-US study. Disease progression was assessed using the Mini-Mental State Examination score. Change in outcomes associated with slowing AD progression was estimated using coefficients from generalized linear models. Results: At baseline, 300 patients had MCI and 317 had MILD AD. Observed natural progression over 36 months was associated with: 5.1 point decline in the Bath Assessment of Subjective Quality of Life in Dementia (BASQID) score (for HRQoL), increase in 1,050 hours of total caregiver time, and $8,504 total societal costs for MCI; 6.6 point decline in the BASQID score, increase in 1,929 hours of total caregiver time, and $12,795 total societal costs for MILD AD per person. Slowing AD progression by 30% could result in per person savings in HRQoL decline, total caregiver time, and total societal costs: for MCI: 1.5 points, 315 hours, and $2,638; for MILD AD: 2.0 points, 579 hours, and $3,974. Conclusions: Slowing AD progression over 36 months could slow decline in HRQoL and save caregiver time and societal cost in patients with MCI and MILD AD.

More competent informal caregivers reduce advanced cancer patients' unplanned healthcare use and costs.

BACKGROUND: Patients with metastatic cancer experience high healthcare use and costs, most of which are unplanned. We aimed to assess whether patients with more competent informal caregivers have lower unplanned healthcare use and costs. METHODS: This study used data from a prospective cohort of patients with solid metastatic cancer. Patients and their informal family caregivers were surveyed every 3 months until patients' death. Patients' unplanned healthcare use/costs were examined through hospital records. Caregivers responded to the 4-item Caregiver Competence Scale. First, in a deceased subsample of patients and their caregivers, we used patients' last 2 years of data (226 dyads) to assess the association between caregivers' competency (independent variable) and patients' unplanned healthcare use/costs (outcomes). Next, in a prospective sample of patient-caregiver dyads (up to 15 surveys), we assessed whether patients' functional well-being and psychological distress moderated the association between caregivers' competency and unplanned healthcare use/costs (311 dyads). RESULTS: In the deceased subsample, during last 2 years of patients' life, caregivers' higher competency lowered the odds of patients' unplanned healthcare use [OR (CI) = 0.86 (0.75, 0.98), p = 0.03], and was associated with a significant reduction in unplanned healthcare costs [Coeff (CI) = -0.19 (-0.36, -0.01), p = 0.03]. In the prospective sample, patients' functional well-being and psychological distress moderated the association between caregivers' competency and patients' unplanned healthcare use/costs. CONCLUSION: With deterioration in patients' condition and an increase in caregiving demands, improving caregivers' competency can reduce patients' unplanned healthcare use and costs. This should be further tested in future trials.

Excess healthcare resource utilization and costs for commercially insured patients with pulmonary arterial hypertension: A real-world data analysis.

This retrospective study was conducted to evaluate all-cause healthcare resource utilization (HCRU) and costs in commercially insured patients living with pulmonary arterial hypertension (PAH) and explore end-of-life (EOL)-related HCRU and costs. Data from the IQVIA PharMetrics® Plus database (October 2014 to May 2020) were analyzed to identify adults (≥18 years) with PAH (PAH cohort) and those without PH (non-PH cohort). Patients were required to have data for ≥12 months before (baseline) and ≥6 months after (follow-up) the first observed PH diagnosis (index date) for PAH cohort or pseudo index date for non-PH cohort. A PAH EOL cohort was similarly constructed using a broader data window (October 2014 to March 2022) and ≥1 month of follow-up. Annualized all-cause HCRU and costs during follow-up were compared between PAH and non-PH cohorts after 1:1 matching on propensity scores derived from patient characteristics. EOL-related HCRU and costs were explored within 30 days and 6 months before the death date and estimated by a claims-based algorithm in PAH EOL cohort. The annual all-cause total ($183,616 vs. $20,212) and pharmacy ($115,926 vs. $7862; both p < 0.001) costs were 8 and 14 times higher, respectively, in the PAH cohort versus matched non-PH cohort (N = 386 for each). In PAH EOL cohort (N = 28), the mean EOL-related costs were $48,846 and $167,524 per patient within 30 days and 6 months before the estimated death, respectively. Hospitalizations contributed 58.8%-70.8% of the EOL-related costs. The study findings indicate substantial HCRU and costs for PAH. While pharmacy costs were one of the major sources, hospitalization was the primary driver for EOL-related costs.

The Incidence of Skin and Soft Tissue Infections in the United States and Associated Healthcare Utilization Between 2010 and 2020.

Background: The number of patients with skin and soft tissue infections (SSTIs) in the United States appeared to be increasing well into the 21st century. However, no recent data have confirmed this trend. Methods: This retrospective, observational cohort study used claims data over 11 years (2010-2020) from Optum's de-identified Clinformatics Data Mart Database. SSTI episodes, complications, and comorbidities were identified using International Classification of Diseases codes. Annual SSTI incidence rates, proportions of recurrent SSTI, SSTI-associated deaths, and total costs were estimated. Results: During the study period, 5.4 million patients experienced 9.1 million SSTI episodes, with an incidence of 77.5 (95% confidence interval, 77.4-77.5) per 1000 person-years of observation (PYO). Annual incidence did not change significantly over time. Overall incidence (per 1000 PYO) of SSTI episodes in patients without comorbidities was 32.1 (highest incidence was for previous SSTI [113.5]) versus much higher rates if comorbidities were present. Incidence rates (per 1000 PYO) of chronic ulcers increased over time from 11.3 to 18.2 (P < .0001) and complicated disease from 3.5 to 6.3 (P < .0001). Deaths occurring within 30 days post-SSTI hospitalization rose from 2.6% to 4.6% in 2020. Recurrences occurred in 26.3% of index cases. The mean cost of an SSTI episode was US$3334 (median US$190) and was highest for surgical site infections and chronic ulcers. Conclusions: The epidemiology of SSTI in the United States is changing and the disease burden is increasing despite stabilization in overall incidence. These data can inform identification of priority populations who could benefit from targeted interventions.

The epidemiology and healthcare burden of rare diseases requiring hospitalisation among adult patients in Langkawi, Malaysia: Insights from a pilot study.

In Malaysia, rare diseases affect fewer than 1 in 4,000 people. As of 2020, 491 rare diseases have been recorded in Malaysia, but with limited epidemiological data. As the first study in Malaysia, this retrospective cohort study examined the epidemiology and admission-related healthcare costs for adult rare disease patients in Langkawi. Among the 38 patients, rheumatological rare diseases topped the list (39.5%). The annual admission rate for rare diseases was 0.9%. Langkawi patients had lengthy hospital stays (9.7 days) and a 7.9% mortality rate. 23.7% of patients defaulted to follow-up, and 7.9% were referred to a tertiary hospital due to inadequate equipment or speciality care. Admission costs were Malaysian Ringgits (MYR) 244,598.63 (~US Dollars (USD) 51,280), with 80.2% from medication. The average healthcare resource utilisation was MYR 6,436.81/ patient/year (~USD 1,350/patient/year).

Comprehensive analysis of same day discharge after atrial fibrillation ablation: Clinical, cost, and patient reported outcomes.

BACKGROUND: Same day discharge (SDD) following atrial fibrillation (AF) ablation procedure has emerged as routine practice, and primarily driven by operator discretion. However, the impacts of SDD on clinical outcomes, healthcare system costs, and patient reported outcomes (PROs) have not been systematically studied. METHODS: We retrospectively analyzed patients undergoing routine AF ablation procedures with SDD versus overnight observation (NSDD). After propensity adjustment we compared postprocedure adverse events (AEs), healthcare system costs, and changes in PROs. RESULTS: We identified 310 cases, with 159 undergoing SDD and 151 staying at least one midnight in the hospital (NSDD). Compared with NSDD, SDD patients were similar age (mean 64 vs. 66, p = 0.3), sex (26% female vs. 27%, p = 0.8), and with lower mean CHADS2-VA2Sc scores (2.0 vs. 2.7; p < 0.011). The primary outcome of AEs was noninferior in SDD versus NSDD patients (odds ratio 0.45, 95% confidence interval 0.21-0.99; noninferiority margin of 10%). There were also no differences in overall cost to the healthcare system between SDD and NSDD (p = 0.11). PROs numerically favored SDD (p = NS for all scores). CONCLUSIONS: Physician selection for SDD appears at least as safe as NSDD with respect to clinical outcomes and SDD is not significantly less costly to the health system. There is a trend towards more favorable, general PROs among SDD patients. Routine SDD should be strongly considered for patients undergoing routine AF ablation procedures.

Vulnerability to Financial Toxicity From Stone Surgery.

PURPOSE: Financial toxicity has been described in stone formers however little is understood regarding its causes and how it may relate to stone surgery. We therefore aimed to longitudinally describe markers of financial strain in stone formers from the preoperative to postoperative time points. MATERIALS AND METHODS: A prospective cohort study was conducted from January 2022 to April 2023. Patients were enrolled in the waiting area prior to undergoing elective ureteroscopy or percutaneous nephrolithotomy. Participants completed the Commonwealth Fund's Biennial Health Insurance Survey at this time point and at 30 days postop. Items were pre-selected from the survey to capture markers of financial strain due to healthcare costs. RESULTS: One hundred nine participants were enrolled. Participants were a majority white (70%), college educated (62%), and privately ensured (72%). Despite these traditionally protective sociodemographic features, 42% of patients reported some marker of financial strain at the preoperative timepoint. Patients with Medicaid reported even higher financial stress (67%). Furthermore, 46% of patients did not know their deductible amount. Response rate was low at 30 days postop (35%) but suggested some patients were experiencing new financial strains. CONCLUSIONS: This paper shows that a significant proportion of stone patients are already displaying markers of financial strain from healthcare bills even prior to surgery as well as poor understanding of the costs they may incur. This makes them vulnerable to experiencing financial toxicity postoperatively and emphasizes the importance of understanding all contributing factors when developing future strategies to intervene in financial toxicity.

Navigating the Pitfalls of Lung Cancer Screening: A Case Study on the Risks and Costs of Negative Screenings.

Lung cancer is the leading cause of cancer-related deaths in the United States. Low-dose computed tomography is the preferred screening method for high-risk individuals. However, with a false-negative rate reaching 15%, this method can underestimate disease prevalence and delay necessary treatment. This case examines a 61-year-old female smoker with chronic obstructive pulmonary disease who initially received a negative result from screening. Her imaging findings were categorized as Lung Imaging Reporting and Data System (Lung-RADS) 2 but advanced to small cell lung carcinoma. This progression emphasizes the imperative of thoroughly evaluating screening results and patient history. False-negative results from screenings have profound implications, leading to delayed diagnoses, adversely affecting patient outcomes, and increasing healthcare costs. The necessity for vigilant follow-up enhanced diagnostic precision and transparent communication about limitations is paramount. An economic analysis emphasizes the significant financial impact of diagnosing lung cancer at advanced stages, highlighting the need for timely and accurate diagnostics. Comprehensive strategies, such as physician education, patient awareness, and stringent quality control, are crucial to improving the efficacy of lung cancer screening. Addressing the issue of false negatives is vital for enhancing early detection rates, decreasing healthcare expenses, and advancing patient care in lung cancer management. Continuous evaluation and adjustment of screening protocols are essential to reduce risks and optimize outcomes.

Impact of infection on healthcare costs and clinical outcomes in elderly hospitalized patients with multimorbidity.

Background: Elderly patients with multimorbidity are at higher risk of greater healthcare costs and poor outcomes due to decreased physical function. The aim of this study was to investigate the impact of infection on healthcare costs and poor outcomes in elderly hospitalized patients with multimorbidity. Methods: We retrospectively enrolled 264 patients who met the inclusion criteria from the department of geriatrics of a large public hospital in Shanghai, China between January 2020 and December 2020. Patients were divided into two groups based on whether they had infection [infection present on admission (IPOA) or healthcare-associated infection(HAI)]. We recorded the basic information and follow-up information of all patients. The follow-up information included 30-day and 1-year all-cause readmission and mortality. Then we analyzed the association between infection and healthcare costs and clinical outcomes. Results: Among 264 subjects, 47.73 % of them achieved IPOA or HAI. The 30-day poor outcomes rate was 45.45 %, and the 1-year poor outcomes rate was 78.41 %. Compared with subjects without infection, the number of drugs and the disease burden were greater in subjects with infection(P < 0.001). Subjects with infection had longer length of hospital stay(P < 0.001) and had greater healthcare cost(P < 0.001). Moreover, subjects with infection had higher poor outcomes rates of 30-day and 1-year(P < 0.001). Infection could predict greater total cost [odds ratio (OR): 1.32, 95 % CI: 1.18,1.49,P < 0.001], nursing cost(OR: 11.45, 95 % CI: 3.49,37.63,P < 0.001), and medicine cost (OR: 2.37, 95 % CI: 1.70,3.31,P < 0.001). In addition, infection was also independently associated with the 30-day poor outcomes rate(OR:3.07, 95%CI: 1.80,5.24,P < 0.001), but we found no association between infection and 1-year poor outcomes rate(OR:1.43, 95 % CI:0.73,2.79,P = 0.300) after adjustment. Conclusions: Infection was a risk factor for higher healthcare cost and 30-day poor outcome rate in elderly hospitalized patients with multimorbidity.

Racial and Ethnic Disparities in the Monetary Value of Informal Caregiving for Non-Institutionalized People Living With Dementia.

OBJECTIVE: To examine racial and ethnic differences in costs of informal caregiving among older adults with dementia in the United States. METHODS: We used data from the 2002 to 2018 Health and Retirement Survey to estimate annual informal care hours for adults with dementia (n = 10,015). We used regression models to examine racial and ethnic differences in hours of informal care for activities of daily living (ADL) and instrumental ADL, controlling for demographic characteristics, education, and level of disability. RESULTS: Our sample was 70% non-Hispanic White, 19% non-Hispanic Black, and 11% Hispanic. Hispanics received, on average, 35.8 hours of informal care each week, compared to 30.1 for Blacks and 20.1 for Whites. Racial and ethnic differences persisted when controlling for covariates. DISCUSSION: Informal care is a greater cost to racial and ethnic minoritized families. Informal care was valued at a replacement cost of $44,656 for Hispanics, $37,508 for Blacks, and $25,121 for Whites.

Analysis of the effect of digital hospital efforts on paper savings in inpatient procedures and on the duration of nursing care services.

Background: This study has two primary objectives. Firstly, it aims to measure the time savings achieved through the digitization of paper forms filled out by nurses in the inpatient care process. Secondly, it seeks to reveal the financial savings resulting from reduced paper consumption due to the digitalization. The Health Information Management System Society (HIMSS)-Electronic Medical Record Adaption Model (EMRAM), which makes stage-based (0-7) evaluations, serves as a tool to measure the rate of technology utilization in public hospitals in Turkey. The study is based on the HIMSS EMRAM criteria for 2018. Bahçelievler State Hospital, a public hospital in Turkey, was chosen as the research facility. In 2017, it was accredited as Stage 6 with HIMSS EMRAM. However, not all its wards have been digitalized. Initially, pilot selected wards were digitized. Therefore, digital and non-digital wards serve together. In this context, 4 wards were randomly selected and time, paper and toner savings before and after digitalization were measured. Method: A table was created in Microsoft Excel,listing the forms used by nurses in inpatient care and the time required to fill them out.The time spent for filling paper-based forms and digital-based forms was measured in randomly selected wards. Result: The analysis showed that digital forms saved more time, paper and toner. For example, filling out the patient history form took 45 min when using paper, compared to 12 min in digital environment. Approximately 27% time savings are achieved only for the patient history form. The total time savings delivered by digitalization for 1,153 inpatients during the year were found as 117 care days, and the savings on total paper consumption was 41.289 pages. For 1,153 inpatients throughout the year, the total time savings from digitalization was 117 care days and the total paper consumption savings was 41,289 pages. In addition, in 4 wards with a total bed capacity of 25, annual paper savings of $1,705.86 and toner savings of $283,736 were achieved. Discussion: This study reveals the benefits of digitalisation in hospitals for nurses. It saves the time that nurses allocate for filling out paper forms with digitalised forms. Thus, it is a good practice example in terms of using the time allocated for form filling for patient care.When we extend this study to Turkey in general, it can be considered that the time savings achieved by nurses by digitizing inpatient forms varies between 10.8% and 13%. The number of nurses working in public hospitals in Turkey is approximately 160,000. Assuming that 60% of the nurses work in the inpatient ward, it is understood that the annual savings achieved by digitizing the forms corresponds to a range of 398-559 nursing hours.

Advancing women's health: The imperative for public health screening of uterine fibroids for personalized care.

Uterine fibroids represent the most prevalent genital tract tumours among women, with a disproportionately higher impact on ethnic minority groups, notably black women. These hormonally dependent monoclonal tumours, characterized by excessive extracellular matrix and influenced by genetic, epigenetic, and lifestyle factors, significantly affect women's quality of life and pose substantial economic burdens on healthcare systems. Recent advances in early detection and minimally invasive treatment options have shifted management paradigms towards personalized care, yet challenges in early diagnosis, education and access to treatment persist. This review synthesizes current knowledge on uterine fibroids, highlighting the impact of fibroids on women's health, risk factors, principles of screening, diagnostic tools, and treatment modalities. It emphasizes the importance of early screening and individualized management strategies in improving patient outcomes and reducing healthcare costs. The article also discusses the socio-economic and health disparities affecting the disease burden, underscoring the need for improved patient education, clinician training, and public health strategies to enhance fibroid management. This review proposes a pathway to not only ameliorate the quality of life for women with fibroids, but also to advance global women's health equity.

Healthcare and Epidemiological Surveillance Costs of Hepatitis A Outbreaks in Spain in Regions with and without Universal Hepatitis A Vaccination of Children during 2010-2018.

The aim of this study was to evaluate and compare hepatitis A outbreak-associated healthcare and epidemiological surveillance costs in Spain in two types of autonomous regions during 2010-2018: (1) regions with a prevention strategy based on universal hepatitis A vaccination of children and vaccination of high-risk population groups (Catalonia) and (2) regions with a prevention strategy based on vaccinating high-risk population groups (Castile and Leon, Murcia, Navarra, Community of Madrid, Community of Valencia). Healthcare costs were determined based on the resources used to treat hepatitis A outbreak-associated cases and hospitalizations. Epidemiological surveillance costs were calculated from the resources used during surveillance activities. The ratios for total, healthcare and epidemiological surveillance costs (regions without universal hepatitis A vaccination of children vs. Catalonia) were used to compare the two hepatitis A prevention strategies. From 2010 to 2018, the total, healthcare and epidemiological surveillance costs per million population were 1.75 times (EUR 101,671 vs. EUR 58,032), 1.96 times (EUR 75,500 vs. EUR 38,516) and 1.34 times greater (EUR 26,171 vs. EUR 19,515) in regions without universal hepatitis A vaccination of children than in Catalonia, respectively. The ratios tended to increase over time during 2010-2018. In 2015-2018, total, healthcare and epidemiological surveillance costs per million population were 2.68 times (EUR 69,993 vs. EUR 26,158), 2.86 times (EUR 53,807 vs. EUR 18,825) and 2.21 times greater (EUR 16,186 vs. EUR 7333) in regions without universal hepatitis A vaccination of children than in Catalonia, respectively. These findings suggest that universal hepatitis A vaccination of children could reduce hepatitis A outbreak-associated costs.