scholarly journals Triage of Persons With Tuberculosis Symptoms Using Artificial Intelligence–Based Chest Radiograph Interpretation: A Cost-Effectiveness Analysis

2021 ◽  
Vol 8 (12) ◽  
Author(s):  
Ntwali Placide Nsengiyumva ◽  
Hamidah Hussain ◽  
Olivia Oxlade ◽  
Arman Majidulla ◽  
Ahsana Nazish ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Cost Effectiveness ◽  
Chest Radiograph ◽  
Smear Microscopy ◽  
Decision Analysis Model ◽  
Analysis Model ◽  
Current Standard ◽  
Life Years ◽  
Microbiological Testing ◽  
The Cost

Abstract Background In settings without access to rapid expert radiographic interpretation, artificial intelligence (AI)–based chest radiograph (CXR) analysis can triage persons presenting with possible tuberculosis (TB) symptoms, to identify those who require additional microbiological testing. However, there is limited evidence of the cost-effectiveness of this technology as a triage tool. Methods A decision analysis model was developed to evaluate the cost-effectiveness of triage strategies with AI-based CXR analysis for patients presenting with symptoms suggestive of pulmonary TB in Karachi, Pakistan. These strategies were compared to the current standard of care using microbiological testing with smear microscopy or GeneXpert, without prior triage. Positive triage CXRs were considered to improve referral success for microbiologic testing, from 91% to 100% for eligible persons. Software diagnostic accuracy was based on a prospective field study in Karachi. Other inputs were obtained from the Pakistan TB Program. The analysis was conducted from the healthcare provider perspective, and costs were expressed in 2020 US dollars. Results Compared to upfront smear microscopy for all persons with presumptive TB, triage strategies with AI-based CXR analysis were projected to lower costs by 19%, from $23233 per 1000 persons, and avert 3%–4% disability-adjusted life-years (DALYs), from 372 DALYs. Compared to upfront GeneXpert, AI-based triage strategies lowered projected costs by 37%, from $34346 and averted 4% additional DALYs, from 369 DALYs. Reinforced follow-up for persons with positive triage CXRs but negative microbiologic tests was particularly cost-effective. Conclusions In lower-resource settings, the addition of AI-based CXR triage before microbiologic testing for persons with possible TB symptoms can reduce costs, avert additional DALYs, and improve TB detection.

Meta-analysis and cost-effectiveness of second-line antiepileptic drugs for status epilepticus

Neurology ◽  
2019 ◽  
Vol 92 (20) ◽  
pp. e2339-e2348 ◽  
Author(s):  
Iván Sánchez Fernández ◽  
Marina Gaínza-Lein ◽  
Nathan Lamb ◽  
Tobias Loddenkemper
Keyword(s):  
Status Epilepticus ◽  
Cost Effectiveness ◽  
Antiepileptic Drugs ◽  
Meta Analysis ◽  
Cost Effective ◽  
Sensitivity Analyses ◽  
Convulsive Status Epilepticus ◽  
Decision Analysis Model ◽  
Analysis Model ◽  
The Cost

ObjectiveCompare the cost and effectiveness of nonbenzodiazepine antiepileptic drugs (non-BZD AEDs) for treatment of BZD-resistant convulsive status epilepticus (SE).MethodsDecision analysis model populated with effectiveness data from a systematic review and meta-analysis of the literature, and cost data from publicly available prices. The primary outcome was cost per seizure stopped ($/SS). Sensitivity analyses evaluated the robustness of the results across a wide variation of the input parameters.ResultsWe included 24 studies with 1,185 SE episodes. The most effective non-BZD AED was phenobarbital (PB) with a probability of SS of 0.8 (95% confidence interval [CI]: 0.69–0.88), followed by valproate (VPA) (0.71 [95% CI: 0.61–0.79]), lacosamide (0.66 [95% CI: 0.51–0.79]), levetiracetam (LEV) (0.62 [95% CI: 0.5–0.73]), and phenytoin/fosphenytoin (PHT) (0.53 [95% CI: 0.39–0.67]). In pairwise comparisons, PB was more effective than PHT (p = 0.002), VPA was more effective than PHT (p = 0.043), and PB was more effective than LEV (p = 0.018). The most cost-effective non-BZD AED was LEV (incremental cost-effectiveness ratio [ICER]: $18.55/SS), followed by VPA (ICER: $94.44/SS), and lastly PB (ICER: $847.22/SS). PHT and lacosamide were not cost-effective compared to the other options. Sensitivity analyses showed marked overlap in cost-effectiveness, but PHT was consistently less cost-effective than LEV, VPA, and PB.ConclusionVPA and PB were more effective than PHT for SE. There is substantial overlap in the cost-effectiveness of non-BZD AEDs for SE, but available evidence does not support the preeminence of PHT, neither in terms of effectiveness nor in terms of cost-effectiveness.

scholarly journals Assessment of the Clinical and Economic Impact of Different Immunization Protocols of Measles, Mumps, Rubella and Varicella in Internationally Adopted Children

Vaccines ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 60 ◽  
Author(s):  
Sara Boccalini ◽  
Angela Bechini ◽  
Cecilia Maria Alimenti ◽  
Paolo Bonanni ◽  
Luisa Galli ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Economic Impact ◽  
Minimum Cost ◽  
Point Of View ◽  
Decision Analysis Model ◽  
Adopted Children ◽  
Analysis Model ◽  
Internationally Adopted Children ◽  
The Cost ◽  
Internationally Adopted

The appropriate immunization of internationally adopted children (IAC) is currently under debate and different approaches have been suggested. The aim of this study is to evaluate the clinical and economic impact of different strategies of measles, mumps, rubella, and varicella (MMRV) immunization in IAC in Italy. A decision analysis model was developed to compare three strategies: presumptive immunization, pre-vaccination serotesting and vaccination based on documentation of previous immunization. Main outcomes were the cost of strategy, number of protected IAC, and cost per child protected against MMRV. Moreover, the incremental cost-effectiveness ratio (ICER) was calculated. The strategy currently recommended in Italy (immunize based on documentation) is less expensive. On the other hand, the pre-vaccination serotesting strategy against MMRV together, improves outcomes with a minimum cost increase, compared with the presumptive immunization strategy and compared with the comparator strategy. From a cost-effectiveness point of view, vaccination based on serotesting results in being the most advantageous strategy compared to presumptive vaccination. By applying a chemiluminescent immunoassay test, the serology strategy resulted to be clinically and economically advantageous. Similar results were obtained excluding children aged <1 year for both serology methods. In conclusion, based on our analyses, considering MMRV vaccine, serotesting strategy appears to be the preferred option in IAC.

PROBABILISTIC SENSITIVITY ANALYSIS IN COST-EFFECTIVENESS

1999 ◽  
Vol 15 (3) ◽  
pp. 563-572 ◽  
Author(s):  
William Whang ◽  
Jane E. Sisk ◽  
Daniel F. Heitjan ◽  
Alan J. Moskowitz
Keyword(s):  
Sensitivity Analysis ◽  
Cost Effectiveness ◽  
Probabilistic Sensitivity Analysis ◽  
Probabilistic Methods ◽  
Policy Implications ◽  
Sensitivity Analyses ◽  
Decision Analysis Model ◽  
Analysis Model ◽  
Worst Case ◽  
The Cost

Objectives: We explore the policy implications of probabilistic sensitivity analysis in cost-effectiveness analysis by applying simulation methods to a decision model.Methods: We present the multiway sensitivity analysis results of a study of the cost-effectiveness of vaccination against pneumococcal bacteremia in the elderly. We then execute a probabilistic sensitivity analysis of the cost-effectiveness ratio by specifying posterior distributions for the uncertain parameters in our decision analysis model. In order to estimate probability intervals, we rank the numerical values of the simulated incremental cost-effectiveness ratios (ICERs) to take into account preferences along the cost-effectiveness plane.Results: The 95% probability intervals for the ICER were generally much narrower than the difference between the best case and worst case results from a multiway sensitivity analysis. Although the multiway sensitivity analysis had indicated that, in the worst case, vaccination in the 85 and older age group was not acceptable from a policy standpoint, probabilistic methods indicated that the cost-effectiveness of vaccination was below $50,000 per quality-adjusted life-year in greater than 92% of the simulations and below $100,000 in greater than 95% of the simulations.Conclusions: Probabilistic methods can supplement multiway sensitivity analyses to provide a more comprehensive picture of the uncertainty associated with cost-effectiveness ratios and thereby inform policy decisions.

scholarly journals The cost-effectiveness of palivizumab in infants with cystic fibrosis in the Canadian setting: A decision analysis model

2016 ◽  
Vol 13 (3) ◽  
pp. 599-606 ◽  
Author(s):  
Ashleigh A. McGirr ◽  
Kevin L. Schwartz ◽  
Upton Allen ◽  
Melinda Solomon ◽  
Beate Sander
Keyword(s):  
Cystic Fibrosis ◽  
Cost Effectiveness ◽  
Decision Analysis ◽  
Decision Analysis Model ◽  
Analysis Model ◽  
Canadian Setting ◽  
The Cost

scholarly journals Modeling the Cost-effectiveness of Esophageal Cancer Screening in China

2020 ◽  
Author(s):  
Yuanyuan LI ◽  
Lingbin Du ◽  
Youqing Wang ◽  
Yuxuan Gu ◽  
Xuemei Zhen ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Cost Effectiveness ◽  
Low Grade ◽  
Decision Analysis Model ◽  
Endoscopic Screening ◽  
Lugol’S Iodine ◽  
Iodine Staining ◽  
Life Years ◽  
The Cost

Abstract Background This study aimed to examine the cost-effectiveness of the standard endoscopic screening with Lugol’s iodine staining in EC screening in China. Methods The Markov decision analysis model with eleven states was built. Separate cohorts were conducted consisting of those aged 40 to 69 years, classified as six age groups with five years interval. Three different strategies assumed for each cohort:(1) no screening; (2) endoscopic screening with Lugol’s iodine staining with annual follow-up for Low-grade intraepithelial neoplasia; (3) endoscopic screening with Lugol’s iodine staining without follow-up. Quality-adjusted life-years (QALYs) served as effectiveness. The incremental cost-effectiveness ratio (ICER) was identified as the evaluating indicators. Sensitivity analysis was introduced to assess the robustness of the model. Results For aged 40-49 years, the non-screening strategies were absolutely dominated with both more costs and less QALY, while for aged 50-69 years, the screening scenarios were absolutely dominated. Screening with follow-up was the preferred strategy. Compared to non-screening, screening with follow-up saved USD 10942.57 and USD 611.73 per QALY gained for aged 40-44 and 45-49 years separately. One-way sensitivity analysis addressed that the risk ratio of the EC incidence in population after screening compared to people without screening and the utility of precancerous lesion could affect the cost-effectiveness of the screening strategy. However, the probabilistic sensitivity analysis supported the results of the base case analysis. Conclusions EC screening with follow-up targeting aged 40-49 years was the most cost-effective strategy.

Abstract 6234: Cost-Effectiveness Analysis Demonstrates Superiority of Screening Young Athletes with 12-Lead Electrocardiogram versus History and Physical in Preventing Sudden Cardiac Death

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Matthew T Wheeler ◽  
Paul A Heidenreich ◽  
Victor F Froelicher ◽  
Mark A Hlatky ◽  
Euan A Ashley
Keyword(s):  
Cost Effectiveness ◽  
Sudden Cardiac Death ◽  
Incremental Cost ◽  
Cardiac Death ◽  
Cost Effective ◽  
Sensitivity Analyses ◽  
Decision Analysis Model ◽  
Analysis Model ◽  
Young Athletes ◽  
Life Years

Sudden cardiac death (SCD) is a rare but frightening event among young athletes. The Italian experience demonstrates a reduction in athlete SCD by screening with history, physical, and 12-lead electrocardiogram (ECG). American guideline statements have not recommended ECG for screening athletes due to perceptions of high cost and unclear effectiveness. We sought to model the cost-effectiveness (CE) of history and physical (H&P), ECG plus H&P, and no screening in US high school and college competitive athletes. A decision analysis model was used. Risks, prevalence, and test characteristics were derived from the medical literature. Costs were derived from publicly available datasets. Markov processes were used to simulate the natural histories of screened athletes. One-way sensitivity analyses and Monte Carlo simulation of all variables in the estimated ranges were performed. A societal perspective was used. Screening with an ECG plus H&P has lower overall costs and better outcomes than use of H&P alone. Compared with no screening, H&P saves 0.57 life years (LY) per 1000 athletes screened at an incremental cost of $111 per athlete, yielding a CE ratio of $195,600 per LY saved (simulation based 95% CI $116,000–514,000). ECG plus H&P when compared to no screening saves 2.7 LY per 1000 athletes at an incremental cost of $199 per athlete, for a CE ratio of $74,100 per LY saved (95% CI $46,000–158,000). Probabilistic sensitivity analysis shows that ECG plus H&P is the preferred strategy over H&P in terms of cost-effectiveness in 99.5% of simulations. ECG plus H&P is cost-effective below a threshold value of $100,000 per LY saved in 89% of simulations, while H&P is cost-effective in 1% of simulations. If the reduction in SCD risk per screening-identified, at-risk athlete is below 33%, or if more than 12% of screens are false positive, screening with ECG plus H&P is no longer cost effective. ECG plus H&P is superior to H&P for screening young athletes in our cost-effectiveness model. The incremental cost of adding an ECG, including screening, secondary testing, and subsequent treatment is under $100 per athlete screened. These data should inform the ongoing debate concerning pre-participation screening of US student-athletes.

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