A. Lusardi, P. Michaud, O. Mitchell
Hasil untuk "Insurance"
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Aisha Abdallah, Mohd Aizaini Maarof, A. Zainal
Mariam Dabbous, Fouad Sakr, Jihan Safwan et al.
Abstract This study aims to develop and validate the Personal Safety Perception Scale (PSPS-26) as a wide-spectrum tool to capture the multidimensional construct of perceived personal safety. A cross-sectional study was conducted among 1228 adults in Lebanon using an online survey. The PSPS-26 was developed through a modified Delphi technique and literature review, followed by expert consensus. The final 26-item scale was administered alongside validated measures of stress (PSQ-30), financial well-being (IFDFW), and health status (EQ-5D-5L). Construct validity was assessed using principal component analysis with Promax rotation, and reliability was evaluated using Cronbach’s alpha. Bivariate and multivariable analyses were conducted to examine the associations between perceived safety and sociodemographic, clinical, and psychosocial factors. The PSPS-26 was validated with five factors: “Fear of Crime”, “Safety Confidence”, “Feeling Safe”, “Neighborhood Walkability”, and “Safety at Night”, showing strong reliability (Cronbach’s alpha = 0.835). Higher stress significantly associated with lower overall safety perception (Beta = − 0.158), especially in safety confidence (Beta = − 0.068) and safety at night (Beta = − 0.062). Enhanced health well-being significantly improved overall safety perception (Beta = 0.058) and feeling safe (Beta = 0.028). Financial well-being was positively and significantly correlated to overall safety perception (Beta = 0.204) and dimensions of fear of crime (Beta = 0.133), safety confidence (Beta = 0.033), and feeling safe (Beta = 0.035). Other significant factors included gender, health insurance coverage, access to healthcare, employment, education, residence area, and marital status. The PSPS-26 is a reliable and valid tool for assessing multidimensional personal safety perception. Its association with stress, health, and financial well-being underscores the importance of integrating psychological and socioeconomic factors into safety-related public health and policy strategies.
Lesia Tkachyk, Olesya Irshak, Vasyl Synenko et al.
The future of the banking sector lies in the further development of competition between banks, increasing the efficiency of banking activities and strengthening innovative processes based on digital technologies. Mobile banking is a significant element of banking activity digitalization. The purpose of the article is to study the level of development of mobile banking in Ukraine and its influence on the efficiency of the bank's activities, as well as the development of digital transformation strategies for the banking business. The methodological basis of the research is general scientific and mathematical methods, in particular, coefficient analysis, rating methods, strategic analysis, statistical methods, as well as matrix, tabular, graphic methods are used. The object of the study is the activity of banks in Ukraine. The ranking of the mobile applications of the 13 most powerful banks in Ukraine based on 28 criteria was conducted, as a result of which it was discovered that Ukrainian banks have more functional applications compared to banks with foreign capital. The impact of mobile banking on the bank's performance indicators was researched. The results of the study confirm the positive impact of mobile banking on the effectiveness of banking operations related to the attraction of clients and individual customer service. As part of the SWOT analysis, the main factors that contribute to the implementation of mobile banking in Ukraine were identified. Based on the conducted SWOT analysis, alternative strategies for further digital transformation of banks were developed in order to adapt to fickle market conditions.
Grégory Pugnet, Benoit Lepage, Nicolas Carrere et al.
Introduction Crohn’s disease (CD) is a chronic inflammatory disorder of the gastrointestinal tract distinguished by progressive bowel damage with a risk of structuring and penetrating complications. It is characterised by focal or segmental transmural inflammation that disrupts intestinal mucosal integrity and favours the development of abscesses and fistulas. Perianal fistula develops in 13%–39% of patients with CD. Their care is difficult but improves with medical and surgical treatment to preserve anal continence and avoid a maximum proctectomy. Combined treatment with seton placement and concomitant anti-TNF (infliximab, adalimumab) allows wound healing in 40%–70% of cases. The currently available treatments are not curative and fail to provide a long-term resolution. The injection of adipose stromal cells is currently being evaluated in clinical studies for repair-damaged tissues in various diseases (limb ischaemia, osteoarthritis, systemic sclerosis, etc). Immunoregulatory and anti-inflammatory properties of AdMSC (adipose-derived stroma/stem cells) are responsible for accelerating healing and represent an innovative approach for treating perianal fistulas associated with CD.Methods and analysis This phase I/IIa study is designed to assess the treatment of complex perianal fistulas linked with CD after failure of conventional treatment by injection of AdMSC (CellReady) into the fistula. Two doses of associated AdMSC will be tested for a dose escalation (5×107 and 10×107 cells) and injected into the wall of the fistula. Those eligible for inclusion include patients with controlled luminal CD characterised by a Harvey-Bradshaw score below or equal to eight and diagnosed on clinical, endoscopic, histological and/or radiological criteria, a colonoscopy dating back less than 1 year without ulcer in the rectum and presence of complex chronic perianal fistula with a maximum of two internal ports and three external ports. All patients must have social security insurance or equivalent social protection. The aim of this study is to determine the optimal dose corresponding to maximum efficacy 6 months after injection of cells with a treatment-related adverse event rate of 20%.Ethics and dissemination The EU CT number 2024-511821-75-00 was approved by the following Ethics Committee: CPP (committee for the protection of persons in French: comité de protection des personnes) Ouest 1 – Tours #2024UEMED-18 and ANSM (French Agency for the Safety of Health and Medicinal Products in French : Agence nationale de sécurité du médicament et des produits de santé) #2024-511821-75-00 (Sponsor number RC31/13/7030, protocol V2.1). The results will be disseminated through conventional scientific channels.Trial registration number NCT06636032.The results will be disseminated through conventional scientific channels.
Nana Rinkiashvili, Gurami Iosebashvili
Viticulture in Georgia has a centuries-old tradition and plays a significant role in the country's socio-economic life. The Kakheti region is particularly notable, as a large part of its population is engaged in viticulture, making their income heavily dependent on it . Over the years, many farmers in Georgia have accumulated extensive experience in viticulture, but due to certain challenges, they have been unable to establish themselves as entrepreneurs. Therefore, specific measures need to be taken in this direction. The policy of grape subsidy contributes to economic stability in the short term, but in the long term, it requires a more balanced approach. In my opinion, if subsidies are used correctly, they will help strengthen farmers and the wine industry, but it is essential that they be timely adjusted to prevent the artificial disruption of market mechanisms. Additionally, I believe it is crucial that subsidies become more targeted, focusing not only on quantitative production but also on quality. Furthermore, for long-term sustainability, alternative economic mechanisms could be implemented, such as: Promoting innovation Improving insurance systems Supporting the production of organic wines Developing wine and grape storage facilities The economic effects of grape subsidies in Georgia are multifaceted. It is important that the subsidy policy be flexible, adapted to market demands, and implemented thoughtfully to ensure its long-term positive impact on the country's economy. It is essential that subsidies target not only the quantity of grape production but also its quality and innovation.
ZHU Guochen, CHEN Zhuoming
ObjectiveThis study used the 2020 China health and retirement longitudinal study (CHARLS) data to explore the current status and influencing factors of life satisfaction among middle-aged and elderly patients with chronic diseases aged 45 and above in China, in order to provide scientific basis for health management and reveal potential paths to improve their life satisfaction.MethodsThe latest 2020 wave 5 national survey data released by CHARLS was used, and 13 487 middle-aged and elderly patients with chronic diseases over 45 years old were selected as the research subjects. Chronic disease data were collected using the question with the original questionnaire code da007; gender, age, education level, place of residence, living with a partner, number of chronic diseases, child satisfaction, number of social activities, smoking, alcohol consumption, pension insurance, medical insurance, basic activities of daily living (BADL), instrumental activities of daily living (IADL), nighttime sleep duration, and midday sleep duration were included as demographic variables. The life satisfaction of middle-aged and elderly patients with chronic diseases was collected using the original questionnaire code dc026.ResultsA total of 13 487 patients with chronic diseases were included. There were significant differences in life satisfaction among middle-aged and elderly patients with chronic diseases in the following aspects: gender, age, education level, place of residence, whether living with partners, number of chronic diseases, child satisfaction, alcohol consumption, whether having pension insurance, whether having medical insurance, BADL impairment, IADL impairment, nighttime sleep duration and midday sleep duration (<italic>P</italic><0.05). There were no statistically significant differences in the number of social activities and whether smoking (<italic>P</italic>>0.05). Middle aged and elderly patients with chronic diseases suffered from a wide range of chronic diseases, with a probability over 50% for hypertension, stomach or other digestive system diseases. There were 3 914 middle-aged and elderly patients with one chronic disease, 3 445 patients with two chronic diseases, 2 468 patients with three chronic diseases, and 3 660 patients with four or more chronic diseases. A total of 1 232 patients were dissatisfied with their lives, and 12 255 patients were satisfied. The results of binary logistic regression analysis showed that age range of 55-64 years (95%<italic>CI</italic>=0.49-0.77), 65-74 years (95%<italic>CI</italic>=0.37-0.59), 75-84 years (95%<italic>CI</italic>=0.28-0.46), and 85 years and above (95%<italic>CI</italic>=0.19-0.41), with a nighttime sleep duration of 6-8 hours (95%<italic>CI</italic>=0.72-0.95) and ≥8 h (95%<italic>CI</italic>=0.62-0.88), and a midday sleep duration of 1-2 hours (95%<italic>CI</italic>=0.65-0.86) and ≥2 h (95%<italic>CI</italic>=0.56-0.86) were protective factors for life satisfaction among middle-aged and elderly patients with chronic diseases (<italic>P</italic><0.05); Living in rural areas (95%<italic>CI</italic>=0.65-0.89), not living with a partner (95%<italic>CI</italic>=1.39-1.81), having four or more chronic diseases (95%<italic>CI</italic>=1.17-1.64), being dissatisfied with children (95%<italic>CI</italic>=3.27-4.66), not having medical insurance (95%<italic>CI</italic>=1.22-2.04), impaired BADL (95%<italic>CI</italic>=1.20-1.62), and impaired IADL (95%<italic>CI</italic>=1.26-1.70) were risk factors for life satisfaction among middle-aged and elderly patients with chronic diseases (<italic>P</italic><0.05).ConclusionMiddle aged and elderly patients with chronic diseases in China have a high overall satisfaction with their lives. It is necessary from the perspective of family environment and social support to create a good family atmosphere, improve the medical security system, strengthen monitoring and intervention of mental health, and strive for the physical and mental health of middle-aged and elderly patients with chronic disease.
Claudia Ceci, Alessandra Cretarola
We investigate an optimal prevention and insurance problem in a general risk setting, where a representative agent is exposed to potential losses. The agent adopts a strategy that combines self-protection, aimed at reducing the frequency of claims, and self-insurance, aimed at mitigating their severity. The problem, which consists in maximizing the expected exponential utility of terminal wealth, is formulated as a stochastic control problem and solved by means of backward stochastic differential equations (BSDEs). Our approach, essentially based on a general Bellman Optimality Principle (see [13] among others), does not require specification of the underlying filtration structure, making it applicable to a broad class of risk models, including Markov-modulated, stochastic factor, Cox-shot noise and self-excited models. We extend recent results by [3, 5], which focused on self-protection in specific models, by allowing for both self-protection and self-insurance within a unified and general framework.
Evans Kiptoo Korir, Zsolt Vizi
This study examines insurance companies' financial performance and reporting trends within the medical sector using advanced clustering techniques to identify distinct patterns. Four clusters were identified by analyzing financial ratios and time series data, each representing unique financial performance and reporting consistency combinations. Dynamic Time Warping (DTW) and KMeans clustering were employed to capture temporal variations and uncover key insights into company behaviors. The findings reveal that resilient performers consistently report and have financial stability, making them reliable options for policyholders. In contrast, clusters of underperforming companies and those with reporting gaps highlight operational challenges and issues related to data consistency. These insights emphasize the importance of transparency and timely reporting to ensure the sector's resilience. This study contributes to the literature by integrating time series analysis into financial clustering, offering practical recommendations for improving data governance and financial stability in the insurance sector. Future research could further investigate non-financial indicators and explore alternative clustering methods to provide a deeper understanding of performance dynamics.
Hansjoerg Albrecher, Pablo Azcue, Nora Muler
We study optimal dividend strategies for an insurance company facing natural catastrophe claims, anticipating the arrival of a climate tipping point after which the claim intensity and/or the claim size distribution of the underlying risks deteriorates irreversibly. Extending earlier literature based on a shot-noise Cox process assumption for claim arrivals, we show that the non-stationary feature of such a tipping point can, in fact, be an advantage for shareholders seeking to maximize expected discounted dividends over the lifetime of the portfolio. Assuming the tipping point arrives according to an Erlang distribution, we demonstrate that the corresponding system of two-dimensional stochastic control problems admits a viscosity solution, which can be numerically approximated using a discretization of the current surplus and the claim intensity level. We also prove uniform convergence of this discrete solution to that of the original continuous problem. The results are illustrated through several numerical examples, and the sensitivity of the optimal dividend strategies to the presence of a climate tipping point is analyzed. In all these examples, it turns out that when the insurance premium is adjusted fairly at the moment of the tipping point, and all quantities are observable, the non-stationarity introduced by the tipping point can, in fact, represent an upward potential for shareholders.
Katia Colaneri, Alessandra Cretarola, Edoardo Lombardo et al.
We study the problem of designing and hedging unit-linked life policies whose benefits depend on an investment fund that incorporates environmental criteria in its selection process. Offering these products poses two key challenges: constructing a green investment fund and developing a hedging strategy for policies written on that fund. We address these two problems separately. First, we design a portfolio selection rule driven by firms' carbon intensity that endogenously selects assets and avoids ad hoc pre-screens based on ESG scores. The effectiveness of our new portfolio selection method is tested using real market data. Second, we adopt the perspective of an insurance company issuing unit-linked policies written on this fund. Such contracts are exposed to market, carbon, and mortality risk, which the insurer seeks to hedge. Due to market incompleteness, we address the hedging problem via a quadratic approach aimed at minimizing the tracking error. We also make a numerical analysis to assess the performance of the hedging strategy. For our simulation study, we use an efficient weak second-order scheme that allows for variance reduction.
Chenchen Fan, Chunyan Li, Xiaoting Song
Health insurance stands as a pivotal facet of social wellbeing, with profound implications for the overarching landscape of economic development. The existing research, however, lacks consensus on the relationship between health insurance and economic performance and provides no evidence about the magnitude of the correlation. This lack of information seriously impedes the high-quality development of the healthcare system. Therefore, to scientifically elucidate the relationship between the two, this study involved a meta-analysis, analyzing 479 effect values derived from 34 independent research samples. The results reveal a strongly positive correlation between health insurance and economic performance [r = 0.429, 95% CI = (0.381, 0.475)]. Findings show that health insurance in developed countries more effectively fosters economic performance than in developing countries. Moreover, public health insurance exerts a stronger promoting effect on economic performance than commercial health insurance. The relationship between health insurance and economic performance is moderated by data type, research method, country of sample origin, literature type, journal impact factor, publication year, type of health insurance, and the research populations. Based on meta-analysis, this study not only scientifically responds to the controversy of the relationship between health insurance and economic performance, and the magnitude of a correlation, but also further reveals the inner conduction mechanism between the two. Our research findings are meaningful for policymakers to choose an appropriate healthcare strategy according to their unique attributes, propelling sustainable economic development.
Xianghua Cao, Yunyun Tu, Xinyao Zheng et al.
Abstract Introduction Perioperative urinary tract infections (PUTIs) are common in the United States and are a significant contributor to high healthcare costs. There is a lack of large studies on the risk factors for PUTIs after total hysterectomy (TH). Methods We conducted a retrospective study using a national inpatient sample (NIS) of 445,380 patients from 2010 to 2019 to analyze the risk factors and annual incidence of PUTIs associated with TH perioperatively. Results PUTIs were found in 9087 patients overall, showing a 2.0% incidence. There were substantial differences in the incidence of PUTIs based on age group (P < 0.001). Between the two groups, there was consistently a significant difference in the type of insurance, hospital location, hospital bed size, and hospital type (P < 0.001). Patients with PUTIs exhibited a significantly higher number of comorbidities (P < 0.001). Unsurprisingly, patients with PUTIs had a longer median length of stay (5 days vs. 2 days; P < 0.001) and a higher in-hospital death rate (from 0.1 to 1.1%; P < 0.001). Thus, the overall hospitalization expenditures increased by $27,500 in the median ($60,426 vs. $32,926, P < 0.001) as PUTIs increased medical costs. Elective hospitalizations are less common in patients with PUTIs (66.8% vs. 87.6%; P < 0.001). According to multivariate logistic regression study, the following were risk variables for PUTIs following TH: over 45 years old; number of comorbidities (≥ 1); bed size of hospital (medium, large); teaching hospital; region of hospital(south, west); preoperative comorbidities (alcohol abuse, deficiency anemia, chronic blood loss anemia, congestive heart failure, diabetes, drug abuse, hypertension, hypothyroidism, lymphoma, fluid and electrolyte disorders, metastatic cancer, other neurological disorders, paralysis, peripheral vascular disorders, psychoses, pulmonary circulation disorders, renal failure, solid tumor without metastasis, valvular disease, weight loss); and complications (sepsis, acute myocardial infarction, deep vein thrombosis, gastrointestinal hemorrhage, pneumonia, stroke, wound infection, wound rupture, hemorrhage, pulmonary embolism, blood transfusion, postoperative delirium). Conclusions The findings suggest that identifying these risk factors can lead to improved preventive strategies and management of PUTIs in TH patients. Counseling should be done prior to surgery to reduce the incidence of PUTIs. The manuscript adds to current knowledge In medical practice, the identification of risk factors can lead to improved patient prevention and treatment strategies. We conducted a retrospective study using a national inpatient sample (NIS) of 445,380 patients from 2010 to 2019 to analyze the risk factors and annual incidence of PUTIs associated with TH perioperatively. PUTIs were found in 9087 patients overall, showing a 2.0% incidence. We found that noted increased length of hospital stay, medical cost, number of pre-existing comorbidities, size of the hospital, teaching hospitals, and region to also a play a role in the risk of UTI’s. Clinical topics Urogynecology
Matthew Orringer, AB, Heather Roberts, MD, Alex Ngan, MD et al.
Background: Disparities exist in access to and outcomes following total knee arthroplasty. However, there is a paucity of data examining the relationship between travel distance and these disparities. Methods: We used the Healthcare Cost and Utilization Project, American Hospital Association, and UnitedStatesZipCodes.org Enterprise databases to gather patient demographic and postoperative outcomes data. We calculated the distance traveled between patient population-weighted zip code centroid points and the hospitals at which they received total knee arthroplasty. We then examined the association between travel distance and patient demographic characteristics as well as postoperative adverse outcomes. Results: Among of cohort of 384,038 patients, white patients (16.58 miles) traveled farther on average than Black (10.05) or Hispanic patients (10.54) (P < .0001). Medicare and commercial insurance coverage were associated with greater travel distance (P < .0001). Fewer medical comorbidities (P < .001) and residence in the highest-income areas (P < .0001) were associated with increased travel distance. Differences in postoperative complication rates related to travel distance were not clinically significant. Conclusions: Increased travel distance for total knee arthroplasty was associated with white race, commercial and Medicare insurance coverage, fewer medical comorbidities, and increased socioeconomic status. Future work is needed to determine the underlying causal mechanisms leading to these differences in access to specialized care.
Sarah Harrison, Alexandra Macmillan, Sophie Bond et al.
Introduction: Climate change-related flooding and sea-level rise have important direct and indirect health effects. In order to support health and equity, adaptation responses require collaborative, transdisciplinary learning and consensus-building, across a wide range of local-level stakeholders. We aimed to co-develop a shared understanding of the complex interplay between health, health determinants, flooding, and sea-level rise in a low-income urban area of Aotearoa New Zealand, to inform action. Methods: We used qualitative participatory system dynamics modeling, involving interviews and group workshops with transdisciplinary stakeholders. We developed a shared set of wellbeing outcomes and triangulated participants’ knowledge with published evidence to develop a set of causal loop diagrams (CLDs). These capture the system feedback behavior between flooding and sea-level rise, and local health and wellbeing. Results: Thirty-three participants were involved across the project, identifying 22 wellbeing outcomes. The CLDs covered six intersecting themes: community-led development and participation in decision-making; quality of housing; the housing market; the insurance market; economic effects of flooding and sea-level rise; and access issues arising from flooding. Intervention points were identified, with the potential to inform health equity-focused adaptation policy. The process supported shifts in participants’ mental models towards consensus and effective intervention points, and transdisciplinary relationship-building. Conclusion: Participatory systems modeling approaches may support cross-sector collaborative learning about the complex, dynamic influences on health and wellbeing in the context of local climate change adaptation. These shared, holistic understandings are essential to inform decision-making that promotes positive health and social equity outcomes.
Ilhammuddin Ilhammuddin, I Made Adnyana
This study aims to examine and analyze the effect of job satisfaction and mental health on welfare partially and to formulate company policies related to agent turnover intention for company progress. The research used Analysis of Moment Structure-Structural Equation Modeling (AMOS-SEM) using 150 samples. The research findings show that job withdrawal, as opposed to job satisfaction and mental health, has a direct, beneficial, and large effect on intention to leave. In addition, well-being has a direct, significant, and beneficial effect on intentions to migrate. Meanwhile, the effect of work engagement on organizational commitment is negligible and direct. Meanwhile, Job Satisfaction has a negative and insignificant direct impact on well-being, a large psychological impact on organizational commitment.
Sedar Olmez, Akhil Ahmed, Keith Kam et al.
This research presents a novel Discrete Event Simulation (DES) of the Lloyd's of London specialty insurance market, exploring complex market dynamics that have not been previously studied quantitatively. The proof-of-concept model allows for the simulation of various scenarios that capture important market phenomena such as the underwriting cycle, the impact of risk syndication, and the importance of appropriate exposure management. Despite minimal calibration, our model has shown that it is a valuable tool for understanding and analysing the Lloyd's of London specialty insurance market, particularly in terms of identifying areas for further investigation for regulators and participants of the market alike. The results generate the expected behaviours that, syndicates (insurers) are less likely to go insolvent if they adopt sophisticated exposure management practices, catastrophe events lead to more defined patterns of cyclicality and cause syndicates to substantially increase their premiums offered. Lastly, syndication enhances the accuracy of actuarial price estimates and narrows the divergence among syndicates. Overall, this research offers a new perspective on the Lloyd's of London market and demonstrates the potential of individual-based modelling (IBM) for understanding complex financial systems.
Tanut Treetanthiploet, Yufei Zhang, Lukasz Szpruch et al.
The emergence of price comparison websites (PCWs) has presented insurers with unique challenges in formulating effective pricing strategies. Operating on PCWs requires insurers to strike a delicate balance between competitive premiums and profitability, amidst obstacles such as low historical conversion rates, limited visibility of competitors' actions, and a dynamic market environment. In addition to this, the capital intensive nature of the business means pricing below the risk levels of customers can result in solvency issues for the insurer. To address these challenges, this paper introduces reinforcement learning (RL) framework that learns the optimal pricing policy by integrating model-based and model-free methods. The model-based component is used to train agents in an offline setting, avoiding cold-start issues, while model-free algorithms are then employed in a contextual bandit (CB) manner to dynamically update the pricing policy to maximise the expected revenue. This facilitates quick adaptation to evolving market dynamics and enhances algorithm efficiency and decision interpretability. The paper also highlights the importance of evaluating pricing policies using an offline dataset in a consistent fashion and demonstrates the superiority of the proposed methodology over existing off-the-shelf RL/CB approaches. We validate our methodology using synthetic data, generated to reflect private commercially available data within real-world insurers, and compare against 6 other benchmark approaches. Our hybrid agent outperforms these benchmarks in terms of sample efficiency and cumulative reward with the exception of an agent that has access to perfect market information which would not be available in a real-world set-up.
W. Beveridge
Huiqin Liu, Ying Wang, Qi He
Abstract Objective In frst-line treatment of advanced or metastatic nonsquamous non-small-cell lung cancer (NSCLC), the ORIENT-11 study demonstrated a signifcant progression-free survival and overall survival for sintilimab plus chemotherapy in comparison with chemotherapy alone. But the cost-effectiveness of the two treatment schemes is unclear in China. The objective of the current study was to evaluate the cost efectiveness of sintilimab plus chemotherapy versus Platinum-based chemotherapy for locally advanced or metastatic squamous NSCLC in China. Methods We performed an economic evaluation from the perspective of the Chinese healthcare system using a partitioned survival model with three mutually exclusive health states: progression free, post-progression, and death. The circulation cycle of the model was 3 weeks and the study time limit was 10 years. Efficacy data were obtained from the ORIENT-11 clinical trial. Cost and utility values were derived from published studies and online price databases. The primary outcomes of the model were quality-adjusted life-years (QALYs), costs, and incremental cost-effectiveness ratios (ICERs). One-way sensitivity analysis and probability sensitivity analysis were used to verify the robustness of the base-case analysis results. Results Sintilimab plus chemotherapy provided an additional 0.6 QALYs. The total cost per patient was CNY¥413,273.16 for sintilimab plus chemotherapy and CNY¥280,695.23 for Platinum-based chemotherapy. The ICER for sintilimab plus chemotherapy was CNY¥220,963.22/QALY. Sensitivity analyses found the results to be most sensitive to the cost of pemetrexed and utilities of PF state. In the probabilistic sensitivity analysis, sintilimab was cost-efective in 78.6% of the simulations, assuming a willingness-to-pay threshold (WTP) of CNY¥242,928 per QALY. Conclusion Compared with chemotherapy alone, the sintilimab plus chemotherapy is likely to be a cost-effective option as the first-line treatment for locally advanced or metastatic nonsquamous NSCLC in China.
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