Medical costs of Swedish nursing home residents at the end of life: a retrospective observational registry study.

BACKGROUND: There are many studies of medical costs in late life in general, but nursing home residents' needs and the costs of external medical services and interventions outside of nursing home services are less well described. METHODS: We examined the direct medical costs of nursing home residents in their last year of life, as well as limited to the period of stay in the nursing home, adjusted for age, sex, Hospital Frailty Risk Score (HFRS), and diagnosis of dementia or advanced cancer. This was an observational retrospective study of registry data from all diseased nursing home residents during the years 2015-2021 using healthcare consumption data from the Stockholm Regional Council, Sweden. T tests, Wilcoxon rank sum tests and chi-square tests were used for comparisons of groups, and generalized linear models (GLMs) were constructed for univariable and multivariable linear regressions of health cost expenditures to calculate risk ratios (RRs) with 95% confidence intervals (95% CIs). RESULTS: According to the adjusted (multivariable) models for the 38,805 studied nursing home decedents, when studying the actual period of stay in nursing homes, we found significantly greater medical costs associated with male sex (RR 1.29 (1.25-1.33), p < 0.0001) and younger age (65-79 years vs. ≥90 years: RR 1.92 (1.85-2.01), p < 0.0001). Costs were also greater for those at risk of frailty according to the Hospital Frailty Risk Score (HFRS) (intermediate risk: RR 3.63 (3.52-3.75), p < 0.0001; high risk: RR 7.84 (7.53-8.16), p < 0.0001); or with advanced cancer (RR 2.41 (2.26-2.57), p < 0.0001), while dementia was associated with lower medical costs (RR 0.54 (0.52-0.55), p < 0.0001). The figures were similar when calculating the costs for the entire last year of life (regardless of whether they were nursing home residents throughout the year). CONCLUSIONS: Despite any obvious explanatory factors, male and younger residents had higher medical costs at the end of life than women. Having a risk of frailty or a diagnosis of advanced cancer was strongly associated with higher costs, whereas a dementia diagnosis was associated with lower external, medical costs. These findings could lead us to consider reimbursement models that could be differentiated based on the observed differences.

Burden of non-communicable diseases attributed to alcohol consumption in 2019 for the Brazilian Unified Health System.

OBJECTIVE: To estimate the health and economic burden of non-communicable diseases (NCDs) attributed to alcohol consumption in 2019 for the Brazilian Unified Health System (SUS) stratified by states. STUDY DESIGN: Observational, descriptive, and ecological study. METHODS: We used population attributable fractions (PAFs) of NCDs due to alcohol consumption from the Global Burden of Disease study. We applied the PAFs to the costs of hospitalizations and outpatient procedures of medium to high complexity paid by SUS for each outcome, obtained from official databases. We also calculated the disability-adjusted life years (DALYs) and mortality caused by alcohol-related NCDs. We converted the costs into international dollars (Int$) using the purchasing parity power in 2019. RESULTS: Alcohol-related NCDs accounted for 8.48% of deaths and 7.0% of DALYs among men, and 1.33% of deaths and 1.6% of DALYs among women. The main diseases were substance use, digestive, and neoplastic diseases. The SUS spent Int$202.0 million on alcohol-related NCDs, mostly on hospitalizations. The highest health burden was observed in the states of the Northeast region, and the highest expenses in the states from the South. The burden and cost values varied by sex, age group, and state. CONCLUSION: The study showed that alcohol consumption has a significant impact on Brazilian population morbidity and mortality and SUS expenditures, especially among men. These results can support policies for the prevention and control of alcohol consumption and health promotion at the subnational level, prioritizing strategies that are more appropriate to local realities.

Chronic Kidney Disease Eligible for SGLT2 Inhibitors Through the Integration of Italian Administrative and Primary Care Data.

Background. Patients with chronic kidney disease (CKD) can be successfully treated with sodium-glucose cotransporter-2 inhibitors (SGLT2-Is), regardless of diabetes. Fondazione Ricerca e Salute's (ReSD) administrative and Health Search's (HSD) primary care databases were combined in the Database Consortium ReS-HS to quantify and describe patients with CKD potentially eligible for SGLT2-Is and assess costs charged to the Italian National Health Service (SSN). Methods. Patients aged ≥18 with CKD and estimated glomerular filtration rate (eGFR) <60 ml/min in 2018, without dialysis and/or renal transplantation, were included. HSD was used to develop and validate algorithms for estimating eGFR, based on covariates, within the ReSD. Comorbidities, dispensed drugs, and direct healthcare costs were assessed. Results. In 2018, 66,297 (5.0% of HSD population) and 211,494 (4.4% of ReSD population) patients with CKD potentially eligible for SGLT2-Is were identified (females ≥58%). Prevalence increased with age with a peak at 75-84 years. Within HSD and ReSD cohorts, respectively: 31.0% and 41.5% had diabetes; in the observation periods, >82% and >96% received ≥1 pharmacological treatment, of which ≥50% and ≥25% received cardiovascular/blood agents and antidiabetics, respectively. From ReSD, mean per capita direct SSN cost was € 3,825 (CI 95%, € 3,655-€ 4,000): 50.1% due to hospitalizations, and 40.2% to pharmaceuticals (31.6% to cardiovascular drugs and 10.1% to antidiabetics). Conclusion. The Database Consortium ReS-HS methodology found 5% of adult SSN beneficiaries with CKD potentially eligible for SGLT2-Is bringing with them a high cardio-metabolic burden which increases the risk of CKD progression.

[Effectiveness of the CNIC polypill in secondary cardiovascular prevention in the subgroup of patients of the NEPTUNO study using atorvastatin doses of 20 mg]. / Efectividad de la polipíldora CNIC en prevención cardiovascular secundaria en el subgrupo de pacientes del estudio NEPTUNO con dosis de atorvastatina de 20 mg.

Objective: To analyse the incidence and risk of recurrent major adverse cardiovascular events (MACE), level of risk factor control, treatment persistence and cost of the CNIC polypill version containing acetylsalicylic acid (ASA) 100 mg, atorvastatin 20 mg (A20), and ramipril 2.5, 5.0 or 10 mg in secondary cardiovascular prevention patients. Method: Subanalysis of the observational, retrospective, multicentre, NEPTUNO study in patients treated for two years with the CNIC polypill A20, the same monocomponents as single drugs, equipotent drugs, and other therapies. Results: 922 patients were included in each group. The risk of recurrent MACE was lower among CNIC A20 polypill users than all others (21%, 23% and 26% increased risk among the monocomponents, equipotent or other therapy cohorts, respectively; p < 0.05). The magnitude of the mean change in low-density lipoprotein cholesterol and blood pressure, as well as the increase in the proportion of patients achieving target goals, was also greater among patients treated with the CNIC A20 polypill than in any of the other cohorts (all p < 0.001). Treatment persistence was significantly higher in patients treated with the CNIC A20 polypill (p < 0.001) and was a less costly strategy than any other therapeutic option. Conclusions: In patients in secondary cardiovascular prevention, the CNIC A20 polypill (ASA 100 mg, atorvastatin 20 mg, and ramipril 2.5, 5.0 or 10 mg) constitutes a valid therapeutic option with similar benefits and outcomes to the version of the polypill with atorvastatin 40 mg.

Objetivo: Analizar la incidencia y el riesgo de eventos adversos cardiovasculares mayores (MACE) recurrentes, el nivel de control de factores de riesgo, la persistencia al tratamiento y el coste de la versión de la polipíldora CNIC que contiene 100 mg de ácido acetilsalicílico (AAS), 20 mg de atorvastatina (A20) y 2.5/5.0 ó 10 mg de ramipril en pacientes en prevención cardiovascular secundaria. Método: Subanálisis del estudio observacional, retrospectivo y multicéntrico NEPTUNO en pacientes tratados durante 2 años con la polipíldora CNIC A20, los mismos monocomponentes por separado, medicamentos equipotentes uotras terapias. Resultados: Se incluyeron 922 pacientes en cada grupo. El riesgo de sufrir un MACE recurrente en el grupode polipíldora CNIC A20 fue menor que en todas las demás cohortes (21%, 23% y 26% de aumento del riesgo en las cohortesde monocomponentes, equipotentes u otras terapias, respectivamente; p < 0.05). La magnitud del cambio en el colesterol unidoa lipoproteínas de baja densidad y la presión arterial, así como el incremento en la proporción de pacientes que alcanzaron losobjetivos establecidos, fueron mayores en los pacientes tratados con la polipíldora CNIC A20 que en cualquiera de las otrascohortes (p < 0.001). La persistencia al tratamiento fue mayor en los pacientes tratados con la polipíldora CNIC A20 (p < 0.001)y esta estrategia resultó ser menos costosa que cualquier otra opción terapéutica. Conclusiones: En pacientes en prevencióncardiovascular secundaria, la polipíldora CNIC A20 (AAS 100 mg; atorvastatina 20 mg; ramipril 2.5/5.0 ó 10 mg) constituye unaopción terapéutica válida con beneficios y resultados similares a la versión de la polipíldora con 40 mg de atorvastatina.

Forecasting the Economic Burden of Cardiovascular Disease and Stroke in the United States Through 2050: A Presidential Advisory From the American Heart Association.

BACKGROUND: Quantifying the economic burden of cardiovascular disease and stroke over the coming decades may inform policy, health system, and community-level interventions for prevention and treatment. METHODS: We used nationally representative health, economic, and demographic data to project health care costs attributable to key cardiovascular risk factors (hypertension, diabetes, hypercholesterolemia) and conditions (coronary heart disease, stroke, heart failure, atrial fibrillation) through 2050. The human capital approach was used to estimate productivity losses from morbidity and premature mortality due to cardiovascular conditions. RESULTS: One in 3 US adults received care for a cardiovascular risk factor or condition in 2020. Annual inflation-adjusted (2022 US dollars) health care costs of cardiovascular risk factors are projected to triple between 2020 and 2050, from $400 billion to $1344 billion. For cardiovascular conditions, annual health care costs are projected to almost quadruple, from $393 billion to $1490 billion, and productivity losses are projected to increase by 54%, from $234 billion to $361 billion. Stroke is projected to account for the largest absolute increase in costs. Large relative increases among the Asian American population (497%) and Hispanic American population (489%) reflect the projected increases in the size of these populations. CONCLUSIONS: The economic burden of cardiovascular risk factors and overt cardiovascular disease in the United States is projected to increase substantially in the coming decades. Development and deployment of cost-effective programs and policies to promote cardiovascular health are urgently needed to rein in costs and to equitably enhance population health.

Comparing New Prescription Drug Availability and Launch Timing in the United States and Other OECD Countries.

Prescription drug research and development is, particularly in its most expensive later stages, an increasingly global endeavor undertaken by large, multinational firms. However, the availability of the resulting new drugs in individual countries and the timing of their launch can vary because of regulatory differences, business decisions, and other factors. The now-enacted Inflation Reduction Act of 2022 and other policy proposals aim to lower U.S. prices for brand-name drugs that are between three and four times as expensive as in other higher-income countries. Some stakeholders assert that lower U.S. prices will prevent U.S. patients from accessing some drugs sold in other countries or delay the launch of new drugs in the United States. To address these concerns, the author uses 2018 to 2022 data to compare the availability and timing of entry of new prescription drugs between the United States and other high-income countries.

International Prescription Drug Price Comparisons: Estimates Using 2022 Data.

Understanding the extent to which prescription drug prices are higher in the United States than in other countries-after accounting for differences in the volume and mix of drugs-is useful when developing and targeting policies to address both growth in drug spending and the financial impact of prescription drugs on consumers. This study summarizes findings from comparisons of drug prices in the United States and other high-income countries based on 2022 data and presents results for specific types of drugs, including brand-name originator drugs and unbranded generic drugs, and from sensitivity analyses.

Comparing Insulin Prices in the United States to Other Countries: Updated Results Using 2022 Data.

Manufacturers' list prices for insulin have increased dramatically over the past decade in the United States. In this study, the authors present results from a comparison of U.S. and international prices for insulins using a price index approach. They compare prices for all insulins and different categories of insulin in the United States and 33 comparison Organisation for Economic Co-operation and Development countries. They present separate comparisons using U.S. manufacturer gross prices reflected at pharmacies and estimated manufacturer net prices after applying rebates paid by manufacturers. This study updates a prior RAND Corporation study, Comparing Insulin Prices in the United States to Other Countries: Results from a Price Index Analysis, with more-recent data and includes new supplementary analyses, editorial changes, and updates to reflect the evolving insulin market landscape.

Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study.

BACKGROUND: Long COVID potentially increases healthcare utilisation and costs. However, its impact on the NHS remains to be determined. METHODS: This study aims to assess the healthcare utilisation of individuals with long COVID. With the approval of NHS England, we conducted a matched cohort study using primary and secondary care data via OpenSAFELY, a platform for analysing anonymous electronic health records. The long COVID exposure group, defined by diagnostic codes, was matched with five comparators without long COVID between Nov 2020 and Jan 2023. We compared their total healthcare utilisation from GP consultations, prescriptions, hospital admissions, A&E visits, and outpatient appointments. Healthcare utilisation and costs were evaluated using a two-part model adjusting for covariates. Using a difference-in-difference model, we also compared healthcare utilisation after long COVID with pre-pandemic records. RESULTS: We identified 52,988 individuals with a long COVID diagnosis, matched to 264,867 comparators without a diagnosis. In the 12 months post-diagnosis, there was strong evidence that those with long COVID were more likely to use healthcare resources (OR: 8.29, 95% CI: 7.74-8.87), and have 49% more healthcare utilisation (RR: 1.49, 95% CI: 1.48-1.51). Our model estimated that the long COVID group had 30 healthcare visits per year (predicted mean: 29.23, 95% CI: 28.58-29.92), compared to 16 in the comparator group (predicted mean visits: 16.04, 95% CI: 15.73-16.36). Individuals with long COVID were more likely to have non-zero healthcare expenditures (OR = 7.66, 95% CI = 7.20-8.15), with costs being 44% higher than the comparator group (cost ratio = 1.44, 95% CI: 1.39-1.50). The long COVID group costs approximately £2500 per person per year (predicted mean cost: £2562.50, 95% CI: £2335.60-£2819.22), and the comparator group costs £1500 (predicted mean cost: £1527.43, 95% CI: £1404.33-1664.45). Historically, individuals with long COVID utilised healthcare resources more frequently, but their average healthcare utilisation increased more after being diagnosed with long COVID, compared to the comparator group. CONCLUSIONS: Long COVID increases healthcare utilisation and costs. Public health policies should allocate more resources towards preventing, treating, and supporting individuals with long COVID.

Machine learning models for assessing risk factors affecting health care costs: 12-month exercise-based cardiac rehabilitation.

Introduction: Exercise-based cardiac rehabilitation (ECR) has proven to be effective and cost-effective dominant treatment option in health care. However, the contribution of well-known risk factors for prognosis of coronary artery disease (CAD) to predict health care costs is not well recognized. Since machine learning (ML) applications are rapidly giving new opportunities to assist health care professionals' work, we used selected ML tools to assess the predictive value of defined risk factors for health care costs during 12-month ECR in patients with CAD. Methods: The data for analysis was available from a total of 71 patients referred to Oulu University Hospital, Finland, due to an acute coronary syndrome (ACS) event (75% men, age 61 ± 12 years, BMI 27 ± 4 kg/m2, ejection fraction 62 ± 8, 89% have beta-blocker medication). Risk factors were assessed at the hospital immediately after the cardiac event, and health care costs for all reasons were collected from patient registers over a year. ECR was programmed in accordance with international guidelines. Risk analysis algorithms (cross-decomposition algorithms) were employed to rank risk factors based on variances in their effects. Regression analysis was used to determine the accounting value of risk factors by entering first the risk factor with the highest degree of explanation into the model. After that, the next most potent risk factor explaining costs was added to the model one by one (13 forecast models in total). Results: The ECR group used health care services during the year at an average of 1,624 ± 2,139€ per patient. Diabetes exhibited the strongest correlation with health care expenses (r = 0.406), accounting for 16% of the total costs (p < 0.001). When the next two ranked markers (body mass index; r = 0.171 and systolic blood pressure; r = - 0.162, respectively) were added to the model, the predictive value was 18% for the costs (p = 0.004). The depression scale had the weakest independent explanation rate of all 13 risk factors (explanation value 0.1%, r = 0.029, p = 0.811). Discussion: Presence of diabetes is the primary reason forecasting health care costs in 12-month ECR intervention among ACS patients. The ML tools may help decision-making when planning the optimal allocation of health care resources.

Cost-of-care discussions for individuals with advanced non-small cell lung cancer and melanoma: Findings from a large, population-based pilot study.

BACKGROUND: Costs of cancer care can result in patient financial hardship; many professional organizations recommend provider discussions about treatment costs as part of high-quality care. In this pilot study, the authors examined patient-provider cost discussions documented in the medical records of individuals who were diagnosed with advanced non-small cell lung cancer (NSCLC) and melanoma-cancers with recently approved, high-cost treatment options. METHODS: Individuals who were newly diagnosed in 2017-2018 with stage III/IV NSCLC (n = 1767) and in 2018 with stage III/IV melanoma (n = 689) from 12 Surveillance, Epidemiology, and End Results regions were randomly selected for the National Cancer Institute Patterns of Care Study. Documentation of cost discussions was abstracted from the medical record. The authors examined patient, treatment, and hospital factors associated with cost discussions in multivariable logistic regression analyses. RESULTS: Cost discussions were documented in the medical records of 20.3% of patients with NSCLC and in 24.0% of those with melanoma. In adjusted analyses, privately insured (vs. publicly insured) patients were less likely to have documented cost discussions (odds ratio [OR], 0.54; 95% confidence interval [CI], 0.37-0.80). Patients who did not receive systemic therapy or did not receive any cancer-directed treatment were less likely to have documented cost discussions than those who did receive systemic therapy (OR, 0.39 [95% CI, 0.19-0.81] and 0.46 [95% CI, 0.30-0.70], respectively), as were patients who were treated at hospitals without residency programs (OR, 0.64; 95% CI, 0.42-0.98). CONCLUSIONS: Cost discussions were infrequently documented in the medical records of patients who were diagnosed with advanced NSCLC and melanoma, which may hinder identifying patient needs and tracking outcomes of associated referrals. Efforts to increase cost-of-care discussions and relevant referrals, as well as their documentation, are warranted.

Evaluation of a unique and innovative diabetes care model in primary care in Ontario, Canada: protocol for a multiple-methods study with a convergent parallel design.

INTRODUCTION: The growth and complexity of diabetes are exceeding the capacity of family physicians, resulting in the demand for community-based, interprofessional, primary care-led transition clinics. The Primary Care Diabetes Support Programme (PCDSP) in London, Ontario, is an innovative approach to diabetes care for high-risk populations, such as medically or socially complex and unattached patients. In this study, we will employ a quadruple-aim approach to evaluate the health system impacts of the PCDSP. METHODS AND ANALYSIS: We will use multiple methods through a convergent parallel design in this project across five unique studies: a case study, a patient study, a provider study, a complications study and a cost-effectiveness study. The project will be conducted in a dedicated stand-alone clinic specialising in chronic disease management, specifically focusing on diabetes care. Participants will include clinic staff, administrators, family physicians, specialists and patients with type 1 or type 2 diabetes who received care at the clinic between 2011 and 2023. The project design will define the intervention, support replication at other sites or for other chronic diseases and address each of the quadruple aims and equity. Following the execution of the five individual studies, we will build a business case by integrating the results. Data will be analysed using both qualitative (content analysis and thematic analysis) and quantitative techniques (descriptive statistics and multiple logistic regression). ETHICS AND DISSEMINATION: We received approval from the research ethics boards at Western University (reference ID: 2023-1 21 766; 2023-1 22 326) and Lawson Health Research Institute (reference ID: R-23-202). A privacy review was completed by St. Joseph's Healthcare Corporation. The findings will be shared among PCDSP staff and patients, stakeholders, academic researchers and the public through stakeholder sessions, conferences, peer-reviewed publications, infographics, posters, media interviews, social media and online discussions. For the patient and provider study, all participants will be asked to provide consent and are free to withdraw from the study, without penalty, until the data are combined. Participants will not be identified in any report or presentation except in the case study, for which, given the number of PCDSP providers, we will seek explicit consent to identify them.

Projected Impact of Nonpharmacologic Management of Stage 1 Hypertension Among Lower-Risk US Adults.

BACKGROUND: The 2017 American College of Cardiology/American Heart Association blood pressure guideline classified 31 million US adults as having stage 1 hypertension and recommended clinicians provide counseling on behavioral change to the low-risk portion of this group. However, nationwide reductions in cardiovascular disease (CVD) and associated health care expenditures achievable by nonpharmacologic therapy remain unquantified. METHODS: We simulated interventions on a target population of US adults aged 35 to 64 years, identified from the 2015-2018 National Health and Nutrition Examination Survey, with low-risk stage 1 systolic hypertension: that is, untreated systolic blood pressure 130 to 139 mm Hg with diastolic BP <90 mm Hg; no history of CVD, diabetes, or chronic kidney disease; and a low 10-year risk of CVD. We used meta-analyses and trials to estimate the effects of population-level behavior modification on systolic blood pressure. We assessed the extent to which restricting intervention to those in regular contact with clinicians might prevent the delivery of nonpharmacologic therapy. RESULTS: Controlling systolic blood pressure to <130 mm Hg among the 8.8 million low-risk US adults with stage 1 hypertension could prevent 26 100 CVD events, avoid 2900 deaths, and save $1.7 billion in total direct health care costs over 10 years. Adoption of the Dietary Approaches to Stop Hypertension diet could prevent 28 000 CVD events. Other nonpharmacologic interventions could avert between 3800 and 19 500 CVD events. However, only 51% of men and 75% of women regularly interacted with clinicians for counseling opportunities. CONCLUSIONS: Among low-risk adults with stage 1 hypertension, substantial benefits to cardiovascular health could be achieved through public policy that promotes the adoption of nonpharmacologic therapy.

Accurate Modeling of Ejection Fraction and Stroke Volume With Mobile Phone Auscultation: Prospective Case-Control Study.

BACKGROUND: Heart failure (HF) contributes greatly to morbidity, mortality, and health care costs worldwide. Hospital readmission rates are tracked closely and determine federal reimbursement dollars. No current modality or technology allows for accurate measurement of relevant HF parameters in ambulatory, rural, or underserved settings. This limits the use of telehealth to diagnose or monitor HF in ambulatory patients. OBJECTIVE: This study describes a novel HF diagnostic technology using audio recordings from a standard mobile phone. METHODS: This prospective study of acoustic microphone recordings enrolled convenience samples of patients from 2 different clinical sites in 2 separate areas of the United States. Recordings were obtained at the aortic (second intercostal) site with the patient sitting upright. The team used recordings to create predictive algorithms using physics-based (not neural networks) models. The analysis matched mobile phone acoustic data to ejection fraction (EF) and stroke volume (SV) as evaluated by echocardiograms. Using the physics-based approach to determine features eliminates the need for neural networks and overfitting strategies entirely, potentially offering advantages in data efficiency, model stability, regulatory visibility, and physical insightfulness. RESULTS: Recordings were obtained from 113 participants. No recordings were excluded due to background noise or for any other reason. Participants had diverse racial backgrounds and body surface areas. Reliable echocardiogram data were available for EF from 113 patients and for SV from 65 patients. The mean age of the EF cohort was 66.3 (SD 13.3) years, with female patients comprising 38.3% (43/113) of the group. Using an EF cutoff of ≤40% versus >40%, the model (using 4 features) had an area under the receiver operating curve (AUROC) of 0.955, sensitivity of 0.952, specificity of 0.958, and accuracy of 0.956. The mean age of the SV cohort was 65.5 (SD 12.7) years, with female patients comprising 34% (38/65) of the group. Using a clinically relevant SV cutoff of <50 mL versus >50 mL, the model (using 3 features) had an AUROC of 0.922, sensitivity of 1.000, specificity of 0.844, and accuracy of 0.923. Acoustics frequencies associated with SV were observed to be higher than those associated with EF and, therefore, were less likely to pass through the tissue without distortion. CONCLUSIONS: This work describes the use of mobile phone auscultation recordings obtained with unaltered cellular microphones. The analysis reproduced the estimates of EF and SV with impressive accuracy. This technology will be further developed into a mobile app that could bring screening and monitoring of HF to several clinical settings, such as home or telehealth, rural, remote, and underserved areas across the globe. This would bring high-quality diagnostic methods to patients with HF using equipment they already own and in situations where no other diagnostic and monitoring options exist.

Neighborhood Socioeconomic Deprivation and Health Care Costs in Older Community-Dwelling Adults: Importance of Functional Impairment and Frailty.

BACKGROUND: Low neighborhood socioeconomic status is associated with adverse health outcomes, but its association with health care costs in older adults is uncertain. OBJECTIVES: To estimate the association of neighborhood Area Deprivation Index (ADI) with total, inpatient, outpatient, skilled nursing facility (SNF), and home health care (HHC) costs among older community-dwelling Medicare beneficiaries, and determine whether these associations are explained by multimorbidity, phenotypic frailty, or functional impairments. DESIGN: Four prospective cohort studies linked with each other and with Medicare claims. PARTICIPANTS: In total, 8165 community-dwelling fee-for-service beneficiaries (mean age 79.2 years, 52.9% female). MAIN MEASURES: ADI of participant residence census tract, Hierarchical Conditions Category multimorbidity score, self-reported functional impairments (difficulty performing four activities of daily living), and frailty phenotype. Total, inpatient, outpatient, post-acute SNF, and HHC costs (US 2020 dollars) for 36 months after the index examination. KEY RESULTS: Mean incremental annualized total health care costs adjusted for age, race/ethnicity, and sex increased with ADI ($3317 [95% CI 1274 to 5360] for the most deprived vs least deprived ADI quintile, and overall p-value for ADI variable 0.009). The incremental cost for the most deprived vs least deprived ADI quintile was increasingly attenuated after separate adjustment for multimorbidity ($2407 [95% CI 416 to 4398], overall ADI p-value 0.066), frailty phenotype ($1962 [95% CI 11 to 3913], overall ADI p-value 0.22), or functional impairments ($1246 [95% CI -706 to 3198], overall ADI p-value 0.29). CONCLUSIONS: Total health care costs are higher for older community-dwelling Medicare beneficiaries residing in the most socioeconomically deprived areas compared to the least deprived areas. This association was not significant after accounting for the higher prevalence of phenotypic frailty and functional impairments among residents of socioeconomically deprived neighborhoods.

The Association of Ancillary Diagnostic Tests With Outcome in Dementia.

OBJECTIVES: Dementia is a clinical diagnosis without curative treatment. It is uncertain whether ancillary testing is beneficial for patients. This study investigates the association between use of diagnostic tests and time to poor outcome and health care costs. DESIGN: Nationwide register-based cohort study using health care reimbursement data in the Netherlands. SETTING AND PARTICIPANTS: All Dutch hospitals, including 13,312 patients diagnosed with dementia in 2018. METHODS: Diagnostic testing included computed tomography or magnetic resonance imaging (CT/MRI), neuropsychological examination (NPE), nuclear imaging (PET/SPECT), electroencephalography (EEG), and cerebrospinal fluid (CSF) testing. We compared time to poor outcome (institutionalization or death) and costs per month from 2018 to 2021 between those who underwent a specific diagnostic test in previous years to controls, propensity score matched for age, sex, type of hospital, and comorbidity. RESULTS: Time to poor outcome in those who underwent CT/MRI, EEG, or CSF testing was similar to those who did not, but was longer for those who underwent NPE. Time to poor outcome was shorter in patients who underwent PET/SPECT. Patients who underwent CSF testing or PET/SPECT had higher mean total health care costs as compared to controls (CSF €248, 95% CI 64-433; PET/SPECT: €315, 95% CI 179-451). NPE during the diagnostic trajectory was associated with lower total health care cost (-€127, 95% CI -62, -193). CONCLUSION AND IMPLICATIONS: NPE was associated with longer time to poor outcome and lower health care costs, potentially due to confounding by indication. Patients who underwent neuroimaging (CT, MRI, SPECT/PET), CSF testing, or EEG for dementia diagnostics did not experience a longer time to poor outcome or lower health care costs. This emphasizes the importance of clinical examination as anchor for the diagnosis of dementia.

Physician Financial Incentives to Reduce Unplanned Hospital Readmissions: A Propensity Score Weighted Cohort Study.

BACKGROUND: Unplanned hospital readmissions are associated with adverse patient outcomes and substantial healthcare costs. It remains unknown whether physician financial incentives for enhanced discharge planning can reduce readmission risk. METHODS: In 2012, policymakers in British Columbia, Canada, introduced a $75 fee-for-service physician payment to incentivize enhanced discharge planning (the "G78717" fee code). We used population-based administrative health data to compare outcomes among G78717-exposed and G78717-unexposed patients. We identified all nonelective hospitalizations potentially eligible for the incentive over a 5-year study interval. We examined the composite risk of unplanned readmission or death and total direct healthcare costs accrued within 30 days of discharge. Propensity score overlap weights and adjustment were used to account for differences between exposed and unexposed patients. RESULTS: A total of 5262 of 24,787 G78717-exposed and 28,096 of 136,541 unexposed patients experienced subsequent unplanned readmission or death, suggesting exposure to the G78717 incentive did not reduce the risk of adverse outcomes after discharge (crude percent, 21.1% vs 20.6%; adjusted odds ratio, 0.97; 95% CI, 0.93-1.01; P = .23). Mean direct healthcare costs within 30 days of discharge were $3082 and $2993, respectively (adjusted cost ratio, 1.00; 95% CI, 0.95-1.05; P = .93). CONCLUSIONS: A physician financial incentive that encouraged enhanced hospital discharge planning did not reduced the risk of readmission or death, and did not significantly decrease direct healthcare costs. Policymakers should consider the baseline prevalence and effectiveness of enhanced discharge planning, the magnitude and design of financial incentives, and whether auditing of incentivized activities is required when implementing similar incentives elsewhere. TRIAL REGISTRATION: ClinicalTrials.gov ID, NCT03256734.

Comparing the effectiveness and cost-effectiveness of sulfonylureas and newer diabetes drugs as second-line therapy for patients with type 2 diabetes.

INTRODUCTION: We aimed to compare the effectiveness and cost-effectiveness profiles of glucagon-like peptide-1 receptor agonist (GLP-1-RA), sodium-glucose cotransporter 2 inhibitor (SGLT2i), and dipeptidyl peptidase-4 inhibitor (DPP-4i) compared with sulfonylureas and glinides (SU). RESEARCH DESIGN AND METHODS: Population-based retrospective cohort study based on linked regional healthcare utilization databases. The cohort included all residents in Lombardy aged ≥40 years, treated with metformin in 2014, who started a second-line treatment between 2015 and 2018 with SU, GLP-1-RA, SGLT2i, or DPP-4i. For each cohort member who started SU, one patient who began other second-line treatments was randomly selected and matched for sex, age, Multisource Comorbidity Score, and previous duration of metformin treatment. Cohort members were followed up until December 31, 2022. The association between second-line treatment and clinical outcomes was assessed using Cox proportional hazards models. The incremental cost-effectiveness ratios (ICERs) were calculated and compared between newer diabetes drugs and SU. RESULTS: Overall, 22 867 patients with diabetes were included in the cohort, among which 10 577, 8125, 2893 and 1272 started a second-line treatment with SU, DPP-4i, SGLT2i and GLP-1-RA, respectively. Among these, 1208 patients for each group were included in the matched cohort. As compared with SU, those treated with DPP-4i, SGLT2i and GLP-1-RA were associated to a risk reduction for hospitalization for major adverse cardiovascular events (MACE) of 22% (95% CI 3% to 37%), 29% (95% CI 12% to 44%) and 41% (95% CI 26% to 53%), respectively. The ICER values indicated an average gain of €96.2 and €75.7 each month free from MACE for patients on DPP-4i and SGLT2i, respectively. CONCLUSIONS: Newer diabetes drugs are more effective and cost-effective second-line options for the treatment of type 2 diabetes than SUs.

Short (≤6 mm) compared with ≥10-mm dental implants in different clinical scenarios: A systematic review of randomized clinical trials with meta-analysis, trial sequential analysis and quality of evidence grading.

AIM: To systematically identify, synthesize and critically summarize the available scientific evidence from randomized controlled trials (RCTs) regarding whether short (≤6 mm) perform as well as long (≥10 mm) implants regarding implant survival, marginal bone loss, and biologic and prosthetic complications in different clinical scenarios. MATERIALS AND METHODS: Cochrane Collaboration's risk of bias tool and the GRADE approach were applied. Results were synthesized using random-effects meta-analyses assessed by trial sequential analyses. RESULTS: Forty reports on 19 RCTs comprising 2214 (1097 short; 1117 long) implants were included. Moderate/high certainty/quality evidence demonstrated similar 5-year survival rates for ≤6-mm and ≥10-mm implants in non-augmented bone and full-mouth rehabilitation in either jaw, and for 6-mm implants in the maxilla instead of sinus lift. Nevertheless, the evidence for 5-year survival rates remains inconclusive or insufficient for the remaining combinations of implant lengths and clinical scenarios. They include 4-mm and 5-mm implants as alternatives to sinus lift as well as placing all implant lengths ≤6 mm instead of vertical ridge augmentation with long implants. Marginal bone level and short- and long-term biologic or prosthetic complications were similar. CONCLUSIONS: Based on moderate/high certainty/quality evidence from 5-year RCTs, implants ≤6 mm may be viable alternatives to ≥10-mm implants in either jaw in native bone and full-arch rehabilitation, and 6-mm implants may be used as an alternative to sinus lift. TRIAL REGISTRATION: PROSPERO ID: CRD42021254365.