Health-economic evaluation of orthogeriatric co-management for patients with pelvic or vertebral fragility fractures.

BACKGROUND: Orthogeriatric co-management (OGCM) addresses the special needs of geriatric fracture patients. Most of the research on OGCM focused on hip fractures while results concerning other severe fractures are rare. We conducted a health-economic evaluation of OGCM for pelvic and vertebral fractures. METHODS: In this retrospective cohort study, we used German health and long-term care insurance claims data and included cases of geriatric patients aged 80 years or older treated in an OGCM (OGCM group) or a non-OGCM hospital (non-OGCM group) due to pelvic or vertebral fractures in 2014-2018. We analyzed life years gained, fracture-free life years gained, healthcare costs, and cost-effectiveness within 1 year. We applied entropy balancing, weighted gamma and two-part models. We calculated incremental cost-effectiveness ratios and cost-effectiveness acceptability curves. RESULTS: We included 21,036 cases with pelvic (71.2% in the OGCM, 28.8% in the non-OGCM group) and 33,827 with vertebral fractures (72.8% OGCM, 27.2% non-OGCM group). 4.5-5.9% of the pelvic and 31.8-33.8% of the vertebral fracture cases were treated surgically. Total healthcare costs were significantly higher after treatment in OGCM compared to non-OGCM hospitals for both fracture cohorts. For both fracture cohorts, a 95% probability of cost-effectiveness was not exceeded for a willingness-to-pay of up to €150,000 per life year or €150,000 per fracture-free life year gained. CONCLUSION: We did not obtain distinct benefits of treatment in an OGCM hospital. Assigning cases to OGCM or non-OGCM group on hospital level might have underestimated the effect of OGCM as not all patients in the OGCM group have received OGCM.

Extending mechanical thrombectomy service provision to 24/7: a break-even analysis.

BACKGROUND: Comprehensive stroke centres across England have developed investment proposals, showing the estimated increases in mechanical thrombectomy (MT) treatment volume that would justify extending the standard hours to a 24/7 service provision. These investment proposals have been developed taking a financial accounting perspective, that is by considering the financial revenues from tariff income. However, given the pressure put on local health authorities to provide value for money services, an affordability question emerges. That is, at what additional MT treatment volume the additional treatment costs are offset by the additional health economic benefits, that is quality-adjusted life years (QALYs) and societal cost savings, generated by administering MT compared to standard care. METHODS: A break-even analysis was conducted to identify the additional MT treatment volume required. The incremental hospital-related costs associated with the 24/7 MT extension were estimated using information and parameters from four relevant business cases. The additional societal cost savings and health benefits were estimated by adapting a previously developed Markov chain-based model. RESULTS: The additional hospital-related annual costs for extending MT to a 24/7 service were estimated at a mean of £3,756,818 (range £1,847,387 to £5,092,788). On average, 750 (range 246 to 1,571) additional eligible stroke patients are required to be treated with MT yearly for the proposed 24/7 service extension to be affordable from a health economic perspective. Overall, the additional facility and equipment costs associated with the 24/7 extension would affect this estimate by 20%. CONCLUSIONS: These findings support the ongoing debate regarding the optimal levels of MT treatment required for a 24/7 extension and respective changes in hospital organisational activities. They also highlight a need for a regional-level coordination between local authorities and hospital administrations to ensure equity provision in that stroke patients can benefit from MT and that the optimal MT treatment volume is reached. Future studies should contemplate reproducing the presented analysis for different health service provision settings and decision making contexts.

New IPECAD open-source model framework for the health technology assessment of early Alzheimer's disease treatment: development and use cases.

OBJECTIVES: Reimbursement decisions for new Alzheimer's disease (AD) treatments are informed by economic evaluations. An open-source model with intuitive structure for model cross-validation can support the transparency and credibility of such evaluations. We describe the new IPECAD open-source model framework (version 2) for the health-economic evaluation of early AD treatment and use it for cross-validation and addressing uncertainty. METHODS: A cohort state transition model using a categorized composite domain (cognition and function) was developed by replicating an existing reference model and testing it for internal validity. Then, features of existing "ICER" and "AD-ACE" models assessing lecanemab treatment were implemented for model cross-validation. Additional uncertainty scenarios were performed on choice of efficacy outcome from trial, natural disease progression, treatment effect waning and stopping rules, and other methodological choices. The model is available open-source as R code, spreadsheet and web-based version via https://github.com/ronhandels/IPECAD. RESULTS: In the IPECAD model incremental life years, QALY gains and cost savings were 21-31% smaller compared to the ICER model and 36-56% smaller compared to the AD-ACE model. IPECAD model results were particularly sensitive to assumptions on treatment effect waning and stopping rules and choice of efficacy outcome from trial. CONCLUSIONS: We demonstrated the ability of a new IPECAD opens-source model framework for researchers and decision-makers to cross-validate other (HTA submission) models and perform additional uncertainty analyses, setting an example for open science in AD decision modeling and supporting important reimbursement decisions.

A causal model for primary prevention of cardiovascular disease: the health economic model for the primary prevention of cardiovascular disease (HEM-PPCVD).

OBJECTIVE: Our objective was to design and develop an open-source model capable of simulating interventions for primary prevention of cardiovascular disease (CVD) that incorporated the cumulative effects of risk factors (e.g., cholesterol-years or blood pressure-years) to enhance health economic modelling in settings where clinical trials are not possible. METHODS: We reviewed the literature to design the model structure by selecting the most important causal risk factors for CVD - low-density lipoprotein-cholesterol (LDL-C), systolic blood pressure (SBP), smoking, diabetes, and lipoprotein (a) (Lp(a)) - and most common CVDs - myocardial infarction and stroke. The epidemiological basis of the model involves the simulation of risk factor trajectories, which are used to modify CVD risk via causal effect estimates derived from Mendelian randomisation. LDL-C, SBP, Lp(a), and smoking all have cumulative impacts on CVD risk, which were incorporated into the health economic model. The data for the model was primarily sourced from the UK Biobank study. We calibrated the model using clinical trial data and validated the model against the observed UK Biobank data. Finally, we performed an example health economic analysis to demonstrate the utility of the model. The model is open source. RESULTS: The model performed well in all validation tests. It was able to produce interpretable and plausible (consistent with expectations of the existing literature) results from an example health economic analysis. CONCLUSIONS: We have constructed an open-source health economic model capable of incorporating the cumulative effect of LDL-C (i.e., cholesterol-years), SBP (SBP-years), Lp(a), and smoking on lifetime CVD risk.

Taking a health economic perspective in monitoring health inequalities: A focus on excess weight.

BACKGROUND: Traditional approaches to monitoring health inequalities predominantly rely on headcount methods. However, these methods fail to reflect the non-linear health economic implications of changes in disease severity. Alternative, distribution-sensitive metrics are available which could more adequately inform financial planning and policy decision making. METHODS: We describe the design of the Foster-Greer-Thorbecke (FGT) index, and discuss its relative merits as a summary monitoring metric of health inequalities in the population, compared to the Erreygers concentration index. We illustrate the FGT index by conducting a comparative longitudinal analysis of adult excess inequalities in England using Health Survey for England data from 2009 to 2019. FINDINGS: Excess weight inequalities have steadily increased in the English adult population, especially over the last five years. Going beyond headcount, the FGT index analyses revealed that, unlike the rest of the population, the average overweight adult from the most socio-economically deprived group is either obese (30.3 BMI for females) or at the brink of obesity (29.1 BMI for males). These results underscore a deepening divide in obesity severity between communities, with the most socioeconomically deprived groups being increasingly and disproportionally affected. CONCLUSIONS: The FGT index can address some shortcomings of traditional approaches to inequality measurement and local governments should consider adopting it as an alternative population health metric. Future research should apply and develop more refined distribution-sensitive measures of health inequality.

Impact of Structural Differences on the Modeled Cost-Effectiveness of Noninvasive Prenatal Testing.

BACKGROUND: Noninvasive prenatal testing (NIPT) was developed to improve the accuracy of prenatal screening to detect chromosomal abnormalities. Published economic analyses have yielded different incremental cost-effective ratios (ICERs), leading to conclusions of NIPT being dominant, cost-effective, and cost-ineffective. These analyses have used different model structures, and the extent to which these structural variations have contributed to differences in ICERs is unclear. AIM: To assess the impact of different model structures on the cost-effectiveness of NIPT for the detection of trisomy 21 (T21; Down syndrome). METHODS: A systematic review identified economic models comparing NIPT to conventional screening. The key variations in identified model structures were the number of health states and modeling approach. New models with different structures were developed in TreeAge and populated with consistent parameters to enable a comparison of the impact of selected structural variations on results. RESULTS: The review identified 34 economic models. Based on these findings, demonstration models were developed: 1) a decision tree with 3 health states, 2) a decision tree with 5 health states, 3) a microsimulation with 3 health states, and 4) a microsimulation with 5 health states. The base-case ICER from each model was 1) USD$34,474 (2023)/quality-adjusted life-year (QALY), 2) USD$14,990 (2023)/QALY, (3) USD$54,983 (2023)/QALY, and (4) NIPT was dominated. CONCLUSION: Model-structuring choices can have a large impact on the ICER and conclusions regarding cost-effectiveness, which may inadvertently affect policy decisions to support or not support funding for NIPT. The use of reference models could improve international consistency in health policy decision making for prenatal screening. HIGHLIGHTS: NIPT is a clinical area in which a variety of modeling approaches have been published, with wide variation in reported cost-effectiveness.This study shows that when broader contextual factors are held constant, varying the model structure yields results that range from NIPT being less effective and more expensive than conventional screening (i.e., NIPT was dominated) through to NIPT being more effective and more expensive than conventional screening with an ICER of USD$54,983 (2023)/QALY.Model-structuring choices may inadvertently affect policy decisions to support or not support funding of NIPT. Reference models could improve international consistency in health policy decision making for prenatal screening.

Accurate EVSI Estimation for Nonlinear Models Using the Gaussian Approximation Method.

BACKGROUND: The expected value of sample information (EVSI) measures the expected benefits that could be obtained by collecting additional data. Estimating EVSI using the traditional nested Monte Carlo method is computationally expensive, but the recently developed Gaussian approximation (GA) approach can efficiently estimate EVSI across different sample sizes. However, the conventional GA may result in biased EVSI estimates if the decision models are highly nonlinear. This bias may lead to suboptimal study designs when GA is used to optimize the value of different studies. Therefore, we extend the conventional GA approach to improve its performance for nonlinear decision models. METHODS: Our method provides accurate EVSI estimates by approximating the conditional expectation of the benefit based on 2 steps. First, a Taylor series approximation is applied to estimate the conditional expectation of the benefit as a function of the conditional moments of the parameters of interest using a spline, which is fitted to the samples of the parameters and the corresponding benefits. Next, the conditional moments of parameters are approximated by the conventional GA and Fisher information. The proposed approach is applied to several data collection exercises involving non-Gaussian parameters and nonlinear decision models. Its performance is compared with the nested Monte Carlo method, the conventional GA approach, and the nonparametric regression-based method for EVSI calculation. RESULTS: The proposed approach provides accurate EVSI estimates across different sample sizes when the parameters of interest are non-Gaussian and the decision models are nonlinear. The computational cost of the proposed method is similar to that of other novel methods. CONCLUSIONS: The proposed approach can estimate EVSI across sample sizes accurately and efficiently, which may support researchers in determining an economically optimal study design using EVSI. HIGHLIGHTS: The Gaussian approximation method efficiently estimates the expected value of sample information (EVSI) for clinical trials with varying sample sizes, but it may introduce bias when health economic models have a nonlinear structure.We introduce the spline-based Taylor series approximation method and combine it with the original Gaussian approximation to correct the nonlinearity-induced bias in EVSI estimation.Our approach can provide more precise EVSI estimates for complex decision models without sacrificing computational efficiency, which can enhance the resource allocation strategies from the cost-effective perspective.

Health-economic evaluation of orthogeriatric co-management for patients with forearm or humerus fractures: an analysis of insurance claims data from Germany.

Orthogeriatric co-management (OGCM) describes a collaboration of orthopedic surgeons and geriatricians for the treatment of fragility fractures in geriatric patients. While its cost-effectiveness for hip fractures has been widely investigated, research focusing on fractures of the upper extremities is lacking. Thus, we conducted a health economic evaluation of treatment in OGCM hospitals for forearm and humerus fractures.In a retrospective cohort study with nationwide health insurance claims data, we selected the first inpatient stay due to a forearm or humerus fracture in 2014-2018 either treated in hospitals that were able to offer OGCM (OGCM group) or not (non-OGCM group) and applied a 1-year follow-up. We included 31,557 cases with forearm (63.1% OGCM group) and 39,093 cases with humerus fractures (63.9% OGCM group) and balanced relevant covariates using entropy balancing. We investigated costs in different health sectors, length of stay, and cost-effectiveness regarding total cost per life year or fracture-free life year gained.In both fracture cohorts, initial hospital stay, inpatient stay, and total costs were higher in OGCM than in non-OGCM hospitals. For neither cohort nor effectiveness outcome, the probability that treatment in OGCM hospitals was cost-effective exceeded 95% for a willingness-to-pay of up to €150,000.We did not find distinct benefits of treatment in OGCM hospitals. Assigning cases to study groups on hospital-level and using life years and fracture-free life years, which might not adequately reflect the manifold ways these fractures affect the patients' health, as effectiveness outcomes, might have underestimated the effectiveness of treatment in OGCM hospitals.

Curosurf surfactant application on preterm babies with respiratory complications-health-economic benefits.

Background: The implementation of surfactant for respiratory syndrome approbates the therapy as a revolutionary method in intensive neonatal therapy and respiratory resuscitation. It is important to investigate the costs of this treatment. Objective: The aim of the study is to analyze the data by the application of the surfactant Curosurf to preterm babies with respiratory complications and describe the treatment costs, healthcare resource utilization and evaluate economic benefits of surfactant use in the treatment of neonates with respiratory distress syndrome (RDS) and hyaline-membrane disease (HDM). Methods: A retrospective survey was performed covering 167 babies based on respiratory complications due to preterm birth and the necessity to apply a surfactant therapy. A documentary method was implemented and for each patient, an individual research protocol was filled out - a questionnaire created specifically for the purposes of the study. Results and discussion: An analysis of the data from the application of CUROSURF was made and the obtained therapeutic results were compared to expenditures for the therapy, short-term therapeutic effect, benefits and consequences of the therapy of preterm newborns with respiratory complications. The application of CUROSURF to babies with RDS resulted in the realization of net savings due to the elimination of the necessity of conducting several diagnostic and therapeutic procedures as well as their duration reduction of hospital stay, thus defining its health-economic benefits. Conclusions: The models of evaluation of cost effectiveness reveal that the medicinal product is expensive but effective from the aspect of short-term therapeutic results.

Economic evaluation of second measles containing vaccine (MCV) dose: a systematic review of available evidence.

INTRODUCTION: The global measles incidence has decreased from 145 to 49 cases per 1 million population from 2000 to 2018, but evaluating the economic benefits of a second measles-containing vaccine (MCV2) is crucial. This study reviewed the evidence and quality of economic evaluation studies to guide MCV2 introduction. METHODS: The systematic review of model-based economic evaluation studies was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The search yielded 2231 articles, with 876 duplicates removed and 1355 articles screened, with nine studies included for final analysis. RESULTS: Six studies reported a positive benefit-cost ratio with one resulting in net savings of $11.6 billion, and two studies estimated a 2-dose MMR vaccination program would save $119.24 to prevent one measles case, and a second dose could prevent 9,200 cases at 18 months, saving $548.19 per case. The most sensitive variables were the discount rate and vaccination administration cost. CONCLUSIONS: Two MCV doses or a second opportunity with an additional dose of MCV were highly cost-beneficial and resulted in substantial cost savings compared to a single routine vaccine. But further research using high-quality model-based health economic evaluation studies of MCV2 should be made available to decision-makers. PROSPERO REGISTRATION: CRD42020200669.

[Mental health problems among employees: service use and costs to the German healthcare system]. / Psychische Belastungen bei Erwerbstätigen: Leistungsinanspruchnahme und Kosten für das deutsche Gesundheitssystem.

BACKGROUND: Service use among employees with mental health problems and the associated costs for the health and social system have not yet been systematically analysed in studies or have only been recorded indirectly. The aim of this article is to report the service use in this target group, to estimate the costs for the health and social system and to identify possible influencing factors on the cost variance. METHODS: As part of a multicentre study, use and costs of health and social services were examined for a sample of 550 employees with mental health problems. Service use was recorded using the German version of the Client Sociodemographic Service Receipt Inventory (CSSRI). Costs were calculated for six months. A generalized linear regression model was used to examine influencing cost factors. RESULTS: At the start of the study, the average total costs for the past six months in the sample were €â€¯5227.12 per person (standard deviation €â€¯7704.21). The regression model indicates significant associations between increasing costs with increasing age and for people with depression, behavioural syndromes with physiological symptoms, and other diagnoses. DISCUSSION: The calculated costs were similar in comparison to clinical samples. It should be further examined in longitudinal studies whether this result changes through specific interventions.

Time-dependent cost comparison and health economic impact analysis of second-line interventions for transplant-ineligible patients with relapsed or refractory diffuse large B cell lymphoma.

OBJECTIVES: Novel interventions (axicabtagene ciloleucel [axi-cel], lisocabtagene maraleucel [liso-cel], tafasitamab-lenalidomide [Tafa-L], polatuzumab-rituximab-bendamustine [pola-BR]) improve clinical outcomes in second-line (2 L) treatment of transplant-ineligible patients with early relapse or refractory (R/R) diffuse large B cell lymphoma (DLBCL). The costs vary depending on the respective treatment regimen and the treatment duration, difficult comparability in reimbursement decisions. The objective was to analyze the health economic impacts of novel 2 L interventions and conventional immunochemotherapies (bendamustine-rituximab [BR], rituximab-gemcitabine-oxaliplatin [R-GemOx]) from a German healthcare payer's perspective as a function of treatment duration. METHODS: An economic model was developed to compare treatment costs of 2 L interventions depending on the treatment duration. Treatment duration was measured by progression-free survival (PFS), identified based on a systematic review. Total and average costs were calculated over 5 years to evaluate incremental costs at median PFS for each intervention. RESULTS: Average costs per month at median PFS ranged from €2846 (95% CI: 5067-1641) to €40 535 (95% CI: 91180-N/A) for BR and liso-cel, respectively. Incremental costs at the lowest median PFS (R-GemOx: 5.3 months) revealed -€664, €5560, €11 817, €53 145, and €67 745 for BR, Tafa-L, pola-BR, axi-cel, and liso-cel as compared to R-GemOx, respectively. CONCLUSIONS: Analyses uncovered a variation of incremental costs of 2 L transplant-ineligible DLBCL interventions as a function of time leading to amortization of high-priced interventions.

Eco-friendly revenues for healthcare: assessing the relationship between green taxation, public health expenditures, and life expectancy in China.

Introduction: The synergy of green taxation, public health expenditures, and life expectancy emerges as a compelling narrative in the intricate symphony of environmental responsibility and public well-being. Therefore, this study examine the impact of green taxation on life expectancy and the moderating role of public health expenditure on the said nexus, particularly in the context of China, an emerging economy. Methods: Statistical data is collected from the National Bureau of Statistics of China to empirically examine the proposed relationships. The dataset contains provincial data across years. Results: Using fixed-effect and system GMM regression models alongwith control variables, the results found a positive and statistically significant influence of green taxation on life expectancy. Moreover, public health expenditures have a positive and statistically significant partial moderating impact on the direct relationship. Discussion: These findings suggest that the higher cost of pollution encourages individuals and businesses to shift to less environmentally harmful alternatives, subsequently improving public health. Moreover, government investment in the health sector increases the availability and accessibility of health facilities; thus, the positive impact of green taxation on public health gets more pronounced. The findings significantly contribute to the fields of environmental and health economics and provide a new avenue of research for the academic community and policymakers.

Health Economic Evaluation of Patients With Colorectal Liver Metastases Randomized to ALPPS or TSH: Analysis From the LIGRO Trial.

Objective: This is a preplanned, health economic evaluation from the LIGRO trial. One hundred patients with colorectal liver metastases (CRLM) and standardized future liver remnant <30% were randomized to associating liver partition and portal vein ligation for staged hepatectomy (ALPPS) or two-staged hepatectomy (TSH). Summary Background Data: TSH, is an established method in advanced CRLM. ALPPS has emerged providing improved resection rate and survival. The health care costs and health outcomes, combining health-related quality of life (HRQoL) and survival into quality-adjusted life years (QALYs), of ALPPS and TSH have not previously been evaluated and compared. Methods: Costs and QALYs were compared from treatment start up to 2 years. Costs are estimated from resource use, including all surgical interventions, length of stay after interventions, diagnostic procedures and chemotherapy, and applying Swedish unit costs. QALYs were estimated by combining survival and HRQoL data, the latter being assessed with EQ-5D 3L. Estimated costs and QALYs for each treatment strategy were combined into an incremental cost-effectiveness ratio (ICER). Nonparametric bootstrapping was used to assess the joint distribution of incremental costs and QALYs. Results: The mean cost difference between ALPPS and TSH was 12,662€, [95% confidence interval (CI): -10,728-36,051; P = 0.283]. Corresponding mean difference in life years and QALYs was 0.1296 (95% CI: -0.12-0.38; P = 0.314) and 0.1285 (95% CI: -0.11-0.36; P = 0.28), respectively. The ICER was 93,186 and 92,414 for QALYs and life years as outcomes, respectively. Conclusions: Based on the 2-year data, the cost-effectiveness of ALPPS is uncertain. Further research, exploring cost and health outcomes beyond 2 years is needed.

Accounting for planetary boundaries in health economic evaluation.

INTRODUCTION: Health economic evaluation (HEE) provides guidance for decision-making in the face of scarcity but ignores ecological scarcities as long as they involve external costs only. Following the imperative to account for planetary health, this study explores how this blind spot can be addressed. AREAS COVERED: The study is based on a critical review of relevant work, particularly in the fields of HEE and life cycle assessment (LCA). LCA can provide information on a technology's environmental impacts which can be accounted for on both the effect and cost sides of HEE. Cost-benefit analyses can incorporate environmental impacts in case vignettes used for eliciting consumers' willingness to pay. Existing LCA impact models can be used to estimate human health risks associated with environmental impacts and add them to the health benefits in cost-utility analyses. Many jurisdictions offer lists of shadow prices that can be used to incorporate environmental impacts on the cost side of HEE. Also, environmental impacts can be reported in a disaggregated manner. EXPERT OPINION: Accounting for planetary boundaries is likely to become a key field of methodological innovation in HEE. Decision relevance is likely to be highest for technologies with similar cost-effectiveness but different ecological impacts.

Consolidated Health Economic Evaluation Reporting Standards for Interventions That Use Artificial Intelligence (CHEERS-AI).

OBJECTIVES: Economic evaluations (EEs) are commonly used by decision makers to understand the value of health interventions. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS 2022) provide reporting guidelines for EEs. Healthcare systems will increasingly see new interventions that use artificial intelligence (AI) to perform their function. We developed Consolidated Health Economic Evaluation Reporting Standards for Interventions that use AI (CHEERS-AI) to ensure EEs of AI-based health interventions are reported in a transparent and reproducible manner. METHODS: Potential CHEERS-AI reporting items were informed by 2 published systematic literature reviews of EEs and a contemporary update. A Delphi study was conducted using 3 survey rounds to elicit multidisciplinary expert views on 26 potential items, through a 9-point Likert rating scale and qualitative comments. An online consensus meeting was held to finalize outstanding reporting items. A digital health patient group reviewed the final checklist from a patient perspective. RESULTS: A total of 58 participants responded to survey round 1, 42, and 31 of whom responded to rounds 2 and 3, respectively. Nine participants joined the consensus meeting. Ultimately, 38 reporting items were included in CHEERS-AI. They comprised the 28 original CHEERS 2022 items, plus 10 new AI-specific reporting items. Additionally, 8 of the original CHEERS 2022 items were elaborated on to ensure AI-specific nuance is reported. CONCLUSIONS: CHEERS-AI should be used when reporting an EE of an intervention that uses AI to perform its function. CHEERS-AI will help decision makers and reviewers to understand important AI-specific details of an intervention, and any implications for the EE methods used and cost-effectiveness conclusions.

The economic impact of anastomotic leakage after colorectal surgery: a systematic review.

BACKGROUND: Anastomotic leakage (AL) remains a burdensome complication following colorectal surgery, with increased morbidity, oncological compromise, and mortality. AL may impose a substantial financial burden on hospitals and society due to extensive resource utilization. Estimated costs associated with AL are important when exploring preventive measures and treatment strategies. The purpose of this study was to systematically review the existing literature on (socio)economic costs associated with AL after colorectal surgery, appraise their quality, compare reported outcomes, and identify knowledge gaps. METHODS: Health economic evaluations reporting costs related to AL after colorectal surgery were identified through searching multiple online databases until June 2023. Pairs of reviewers independently evaluated the quality using an adapted version of the Consensus on Health Economic Criteria list. Extracted costs were converted to 2022 euros (€) and also adjusted for purchasing power disparities among countries. RESULTS: From 1980 unique abstracts, 59 full-text publications were assessed for eligibility, and 17 studies were included in the review. The incremental costs of AL after correcting for purchasing power disparity ranged from €2250 (+39.9%, Romania) to €83,633 (+ 513.1%, Brazil). Incremental costs were mainly driven by hospital (re)admission, intensive care stay, and reinterventions. Only one study estimated the economic societal burden of AL between €1.9 and €6.1 million. CONCLUSIONS: AL imposes a significant financial burden on hospitals and social care systems. The magnitude of costs varies greatly across countries and data on the societal burden and non-medical costs are scarce. Adherence to international reporting standards is essential to understand international disparities and to externally validate reported cost estimates.

Health economic evaluation of 2-dose and 3-dose rotavirus vaccines in children below 5 years of age in Morocco.

Following the introduction of rotavirus vaccination into the Moroccan National Immunization Program, the prevalence of the disease has decreased by nearly 50%. However, evidence on the economic value of rotavirus vaccinations in Morocco is limited. This health economic analysis evaluated, from both country payer and societal perspectives, the costs and the cost-effectiveness of three rotavirus vaccines using a static, deterministic, population model in children aged < 5 years in Morocco. Included vaccines were HRV (2-dose schedule), HBRV (3-dose schedule) and BRV-PV 1-dose vial (3-dose schedule). One-way and probabilistic sensitivity analyses were conducted to assess the impact of uncertainty in model inputs. The model predicted that vaccination with HRV was estimated to result in fewer rotavirus gastroenteritis events (-194 homecare events, -57 medical visits, -8 hospitalizations) versus the 3-dose vaccines, translating into 7 discounted quality-adjusted life years gained over the model time horizon. HRV was associated with lower costs versus HBRV from both the country payer (-$1.8 M) and societal (-$4.1 M) perspectives, and versus BRV-PV 1-dose vial from the societal perspective (-$187,000), dominating those options in the cost-effectiveness analysis. However, costs of BRV-PV 1-dose vial were lower than HRV from the payer perspective, resulting in an ICER of approximately $328,376 per QALY, above the assumed cost effectiveness threshold of $3,500. Vaccination with a 2-dose schedule of HRV may be a cost-saving option and could lead to better health outcomes for children in Morocco versus 3-dose schedule rotavirus vaccines.

Estimating the Lifetime Costs and Benefits of the Incredible Years Teacher Classroom Management Intervention Using Data From 30 Months Follow-Up of the Supporting Teachers and childRen in Schools Trial.

OBJECTIVES: The Incredible Years Teacher® Classroom Management (IY-TCM) intervention is associated with short-term improvements in mental health difficulties in young people. The aim was to estimate the long-term impact and cost-effectiveness of the IY-TCM intervention compared with no intervention. METHODS: An existing health economic model (LifeSim 1.0) was used to translate short-term changes in the Strength and Difficulties Questionnaire (SDQ), based on the Supporting Teachers and childRen in Schools cluster randomized controlled trial of the IY-TCM intervention in schools, into estimated medium- and long-term effects using multiple longitudinal data sets. LifeSim 1.0 was adapted to incorporate teacher-reported SDQ and account for individual heterogeneity. Cost-effectiveness analyses were conducted using the trial-based intervention cost with subgroup analyses on deprivation, conduct scores and parental depression in the simulated baseline population. RESULTS: Regression analyses show significant predictor variables for intervention effectiveness, including deprivation and baseline SDQ. LifeSim results indicate small gains in long-term outcomes, and cost-effective analyses estimated that the IY-TCM intervention could be cost-effective, but there was a large amount of uncertainty (net monetary benefit = £10, Estimated CI = -£134, £156). Benefits and certainty of cost-effectiveness were greater for some subgroups, such as those with high conduct scores at baseline (net monetary benefit = £206, Estimated CI = £26, £318). CONCLUSIONS: IY-TCM could be cost-effective, but there was a large amount of uncertainty around costs and benefits. Greater benefits for pupils with difficulties at baseline suggest that the intervention may be more cost-effective for schools in more deprived areas with high levels of conduct problems.

Clostridioides difficile infection, recurrence and the associated healthcare consumption in Sweden between 2006 and 2019: a population-based cohort study.

BACKGROUND: Clostridioides difficile infection (CDI) causes a major burden to individuals and society, yet the impact may vary depending on age, sex, underlying comorbidities and where CDI was acquired (hospital or community). METHODS: This Swedish nationwide population-based cohort study (2006-2019) compared all 43,150 individuals with CDI to their 355,172 matched controls (first year and entire follow-up). Negative binomial regression models compared the cumulated length of stay, number of in-hospital admissions, outpatient visits and prescriptions after the first CDI episode expressed as incidence rate ratios (IRR) and 95% confidence intervals for the entire follow-up. RESULTS: Overall, 91.6% of CDI cases were hospital acquired, and 16.8% presented with recurrence(s); 74.8%of cases were ≥ 65 years and 54.2% were women. Compared to individuals without CDI, in-hospital stay rates were 18.01 times higher after CDI (95% CI 17.40-18.63, first-year: 27.4 versus 1.6 days), 9.45 times higher in-hospital admission (95% CI 9.16-9.76, first-year: 2.6 versus 1.3 hospitalisations), 3.94 times higher outpatient visit (95% CI 3.84-4.05, first-year: 4.0 versus 1.9 visits) and 3.39 times higher dispensed prescriptions rates (95% CI 3.31-3.48, first-year: 25.5 versus 13.7 prescriptions). For all outcomes, relative risks were higher among the younger (< 65 years) than the older (≥ 65 years), and in those with fewer comorbidities, but similar between sexes. Compared to those without recurrence, individuals with recurrence particularly showed a higher rate of hospital admissions (IRR = 1.18, 95% 1.12-1.24). Compared to community-acquired CDI, those with hospital-acquired CDI presented with a higher rate of hospital admissions (IRR = 7.29, 95% CI 6.68-7.96) and a longer length of stay (IRR = 7.64, 95% CI 7.07-8.26). CONCLUSION: CDI was associated with increased health consumption in all affected patient groups. The majority of the CDI burden could be contributed to hospital-acquired CDI (~ 9/10), older patients (~ 3/4) and those with multiple comorbidities (~ 6/10 Charlson score ≥ 3), with 1/5 of the total CDI burden contributed to individuals with recurrence. Yet, relatively speaking the burden was higher among the younger and those with fewer comorbidities, compared to their peers without CDI.