ClinicoEconomics and Outcomes Research最新文献

Background: Turkey currently has the highest obesity prevalence among its European counterparts. 32% and 61% of the population live with obesity and overweight, respectively. Overweight and obesity are linked to non-communicable diseases that incur incremental health and economic costs. The significant public health concern warrants an assessment of the cost of obesity.

Methods: A micro-costing approach from the public payer perspective was conducted to estimate direct healthcare costs associated with ten obesity-related comorbidities (ORCs) in Turkey. Clinical practice guidelines and a systematic literature review informed ORCs and the respective cost categories. This was subsequently validated by a steering committee comprising seven experts. Seventy public sector physicians were surveyed to estimate healthcare resource use. Unit costs were derived from Social Security Institute's Healthcare Implementation Communique. Cost items were summed to determine the annual cost per patient per ORC, which was validated by the steering committee. Medical inflation was considered in a scenario analysis that varied resource unit costs.

Results: Chronic kidney disease, heart failure and type 2 diabetes are the costliest ORCs, incurring an annual cost of 28,600 TRY, 16,639 TRY and 11,993 TRY, respectively. Individuals in Turkey with any ORC triggered direct healthcare costs ranging 1857-28,600 TRY annually. Costs were driven by tertiary care resources arising from treatment-related adverse events, disease complications and inpatient procedures. In the scenario analysis, medical resource unit costs were inflated by 18.7% and 39.4%, triggering an average increase in cost across all ORCs of 1998 TRY and 4210 TRY, respectively.

Conclusion: Our findings confirm that obesity and its complications result in significant financial burden to the public healthcare system. By quantifying the burden of obesity across a comprehensive spectrum of ORCs, our study aims to support the economic case for investing in appropriate obesity interventions.

Purpose: The main aim of this study is to estimate the provider's cost, patients' cost (home and institutional quarantine cost) and the total economic burden of COVID-19 for patients with PCR positive in Kuwait.

Patients and methods: This cross-sectional and retrospective study identified the cost incurred for treating COVID-19 inpatients admitted to a General Hospital in Kuwait, a designated COVID-19 treatment center by the Kuwait Government during pandemic. A total of 485 COVID-19 patients were randomly selected from May 1st to September 31st, 2021. Data on sociodemographic information, length of stay (LOS), discharge status, and comorbidities were obtained from the patients' medical records. A step-down approach was done to estimate the healthcare provider cost per patient per admission. Patient cost (loss of productivity due to hospitalization, institutional and home quarantine) was calculated using human capital approach. The national economic burden of COVID-19 was estimated using costing data from a general hospital for the entire nation. The data were analyzed using the statistical software package SPSS version 25.

Results: In all, 485 COVID-19 patients were involved in the research. KD 2216 (USD 7,344) was the average cost per patient per admission. The ICU accounted for 20.6% of the total cost, the physician and nursing staff for 42.1%, and the laboratory services for 10.2%. The estimated annual cost of care for COVID-19 patients in Kuwait was KD 147.4 (USD 488.5) million, or 5.5% of the MOH budget for 2021, given that 9.03% (383,731) of the population had positive COVID-19 PCR results in 2021. The range of the estimated national economic burden, considering both the best and worst-case scenarios, is KD 73.6 (USD 244.2) million to KD 221.0 (USD 732.7) million.

Conclusion: COVID-19 poses a substantial financial strain on the healthcare system, estimated at 5.9% to 8.8% of the MOH's annual budget and 0.2% to 0.7% of Kuwait's GDP in 2021. To mitigate costs, prioritizing prevention and health education is crucial. Targeted strategies, such as workforce optimization, are needed to address high expenses. Policymakers and administrators should leverage these insights for enhanced efficiency and sustainability in future epidemic responses.

Objective: The study aimed to explore methods and highlight the challenges of extrapolating the overall survival (OS) of immunotherapy-based treatment in first-line extensive stage small-cell lung cancer (ES-SCLC).

Methods: Standard parametric survival models, spline models, landmark models, mixture and non-mixture cure models, and Markov models were fitted to 2-year data of the CASPIAN Phase 3 randomised trial of PD-L1 inhibitor durvalumab added to platinum-based chemotherapy (NCT03043872). Extrapolations were compared with updated 3-year data from the same trial and the plausibility of long-term estimates assessed.

Results: All models used provided a reasonable fit to the observed Kaplan-Meier (K-M) survival data. The model which provided the best fit to the updated CASPIAN data was the mixture cure model. In contrast, the landmark analysis provided the least accurate fit to model survival. Estimated mean OS differed substantially across models and ranged from (in years) 1.41 (landmark model) to 4.81 (mixture cure model) for durvalumab plus etoposide and platinum and from 1.01 (landmark model) to 2.00 (mixture cure model) for etoposide and platinum.

Conclusion: While most models may provide a good fit to K-M data, it is crucial to assess beyond the statistical goodness-of-fit and consider the clinical plausibility of the long-term predictions. The more complex cure models demonstrated the best predictive ability at 3 years, potentially providing a better representation of the underlying method of action of immunotherapy; however, consideration of the models' clinical plausibility and cure assumptions need further research and validation. Our findings underscore the significance of adopting a clinical perspective when selecting the most appropriate approach to model long-term survival, particularly when considering the use of more complex models.

Background: The prevention of myelomeningocele (MMC) and meningocele (MC) is a public health concern. A systematic review on economic factors associated with MMC and MC can help the policy makers to evaluate the cost-effectiveness of screening and treatment. To our knowledge, this is the first systematic review to provide up-to date pharmacoeconomic evidence of all economic studies present in literature on different aspects of MMC and MC.

Methods: We searched in the National Health Service Economic Evaluation Database (NHSEED), PubMed, Cost-effectiveness Analysis Registry (CEA Registry), Centre for Reviews and Dissemination (CRD), Health Technology Assessment Database (HTAD), Cochrane Library, and Econlit. The PRISMA guidelines were followed in the search and evaluation of literature. Only articles in English not limited by the year of publication that fulfilled the eligibility criteria were included in this systematic review.

Results: Nineteen papers were included in the study. The studies were very heterogeneous and reported a comparison of the costs between prenatal versus postnatal repair, the cost of fetoscopic approach versus open surgery, the cost of ventriculoperitoneal shunting (VPS) versus endoscopic third ventriculostomy (ETV), and ETV with choroid plexus cauterization (ETV/CPC), the cost of hospitalization, and the cost of diagnosis for MMC.

Conclusion: The results of this study can help in implementing new policies in different countries to assist MC and MMC patients with the cost of treatment and screening.

Introduction: Cognitive impairment, especially relating to cognitive processing speed, is a major cause of disability in people with multiple sclerosis (MS). Utility values are quantitative estimates of the quality of life experienced in specific health states and are a key component of cost-effectiveness modelling. However, existing health state utility values in MS typically focus on physical ability and are generally derived using generic (not disease-specific) measures of quality of life. The objective of the current study was to generate health state utility values for levels of cognitive impairment. We used a direct utility elicitation approach called the time trade-off (TTO) methodology.

Materials and methods: Health state descriptions were created following interviews with healthcare professionals, patients, and caregivers in the United States (n=35), and with healthcare professionals in the UK (n=5). Three health states (mild, moderate, and severe impairment) were defined based upon a well-established and validated test for cognitive dysfunction called the Symbol Digit Modalities Test (SDMT) and described using qualitative interview findings. Next, interviews with members of the general public in the UK were conducted to estimate utility values for each health state using the TTO methodology. The procedure was based on the established Measurement and Valuation of Health (MVH) protocol, which generates values on a scale from 0.0 to 1.0.

Results: Mean health state utility values were 0.77 ± 0.24 in "mild impairment" (SDMT 43-40), 0.57 ± 0.26 in "moderate impairment" (SDMT 39-32), and 0.34 ± 0.28 in "severe impairment" (SDMT ≤ 31).

Discussion: Results indicate that the public perceives that health states of cognitive slowing (as observed in MS) are associated with a substantial reduction in affected individuals' health-related quality of life, quantified using the TTO methodology. Future economic modeling should consider how utility impacts of both cognitive and physical disability can be appropriately incorporated.

Purpose: When traditional therapies fail to provide relief from debilitating lower back pain, surgeries such as transforaminal lumbar interbody fusion (TLIF) may be required. This budget impact analysis (BIA) compared minimally-invasive (MI)-TLIF versus open (O)-TLIF for single-level fusion from an Italian hospital perspective.

Methods: The BIA compared costs of 100 MI-TLIF and 100 O-TLIF procedures from an Italian hospital perspective over a one-year time horizon. The base case included costs for length of hospital stay (LOS), blood loss, and sterilizing surgical trays. The scenario analysis also included operating room (OR) time and complication costs. Base case inputs were from the Miller et al meta-analysis; scenario analysis inputs were from the Hammad et al meta-analysis. The device costs for MI-TLIF and O-TLIF procedures were from Italian tender prices for Viper Prime™ System and Expedium™ Spine System, respectively.

Results: Base case deterministic analysis results showed cost savings of €207,370 for MI-TLIF compared with O-TLIF. MI-TLIF costs were lower for LOS (€215,277), transfusion for blood loss (€16,881), and surgical tray sterilization (€28,232), whereas device costs were lower for O-TLIF (€53,020). The probabilistic result was similar, with MI-TLIF resulting in savings of €211,026 (95% credible interval [CR]: €208,725 - €213,327). All 1000 base case probabilistic sensitivity analysis runs were cost saving. Deterministic scenario analysis results showed cost savings of €166,719 for MI-TLIF. MI-TLIF costs were lower for LOS (€190,813), transfusion for blood loss (€16,881), surgical tray sterilization (€28,232), and complications (€2076), whereas O-TLIF costs were lower for OR time (€18,263) and devices used (€53,020).

Conclusion: Despite the increase incremental cost for medical device innovation and OR time, this study demonstrates the economic savings of MI-TLIF compared to O-TLIF from a European hospital perspective. The findings will be useful to policy and hospital decision makers in assessing purchasing, funding and reimbursement decisions.

Background: Approximately 24% of hospitalized stage 2-3 acute kidney injury (AKI) patients will develop persistent severe AKI (PS-AKI), defined as KDIGO stage 3 AKI lasting ≥3 days or with death in ≤3 days or stage 2 or 3 AKI with dialysis in ≤3 days, leading to worse outcomes and higher costs. There is currently no consensus on an intervention that effectively reverts the course of AKI and prevents PS-AKI in the population with stage 2-3 AKI. This study explores the cost-utility of biomarkers predicting PS-AKI, under the assumption that such intervention exists by comparing C-C motif chemokine ligand 14 (CCL14) to hospital standard of care (SOC) alone.

Methods: The analysis combined a 90-day decision tree using CCL14 operating characteristics to predict PS-AKI and clinical outcomes in 66-year-old patients, and a Markov cohort estimating lifetime costs and quality-adjusted life years (QALYs). Cost and QALYs from admission, 30-day readmission, intensive care, dialysis, and death were compared. Clinical and cost inputs were informed by a large retrospective cohort of US hospitals in the PINC AI Healthcare Database. Inputs and assumptions were challenged in deterministic and probabilistic sensitivity analyses. Two-way analyses were used to explore the efficacy and costs of an intervention preventing PS-AKI.

Results: Depending on selected costs and early intervention efficacy, CCL14-directed care led to lower costs and more QALYs (dominating) or was cost-effective at the $50,000/QALY threshold. Assuming the intervention would avoid 10% of PS-AKI complications in AKI stage 2-3 patients identified as true positive resulted in 0.066 additional QALYs and $486 reduced costs. Results were robust to substantial parameter variation.

Conclusion: The analysis suggests that in the presence of an efficacious intervention preventing PS-AKI, identifying people at risk using CCL14 in addition to SOC is likely to represent a cost-effective use of resources.

Background: Increasing free and skilled delivery is a top priority in the global effort to reduce maternal and newborn mortality. Reducing user-fees through exemption policy has contributed to universal health coverage. However, there is scant evidence regarding the effect of exempted maternal services on adherence to utilization in Ethiopia. Thus, this study aimed to assess the effect of fee exemption policy on adherence to maternal health service utilization and its predictors.

Methods: A community-based comparative cross-sectional study was conducted in Bahir Dar City. A two-stage multistage sampling was employed; 497 women participated. Data were collected by face-to-face interview; entered and cleaned using Epi-Data 3.1. SPSS version 25 was used for further analysis. Bivariable and multivariable logistic regression models were computed to assess the association between explanatory and outcome variables. An adjusted odds ratio with a 95% confidence interval was used to interpret the degree of association. The effect of fee exemption policy on adherence to maternal health service utilization was measured by propensity score matching.

Results: The overall adherence to maternal service utilization was 54.2%. Factors associated with adherence to maternal health service utilization were pregnancy complications [AOR: 4.1, 95% CI (2.32, 7.28)], secondary and above education [AOR: 4.6, 95% CI (1.38, 15.08)], early ANC¹ booking [AOR: 3.1, 95% CI (1.83, 5.16)], autonomous women [AOR: 2.1, 95% CI (1.02, 4.39)], user fee exemption [AOR: 2.3, 95% CI (1.20, 4.47)] and high parity [AOR: 0.39, 95% CI (0.2, 0.75)]. User fee exemption induced a 22.7% increment in adherence to maternal service utilization (ATET=0.227, t=2.13).

Conclusion: User fee exemption policy significantly improved adherence to maternal health service utilization. Promoting a fee exemption policy through third-party financing can enhance maternal health service utilization adherence in hard-to-reach settings of Ethiopia by targeting mothers with higher pregnancies, no complications, no autonomy, and less education.