Cost-Effectiveness of Digital Health Interventions for Asthma or COPD: Systematic Review.

OBJECTIVE: Digital interventions such as remote monitoring of symptoms and physiological measurements have the potential to reduce the economic burden of asthma and chronic obstructive pulmonary disease (COPD) but their cost-effectiveness remains unclear. This systematic review of randomised controlled trials (RCT) aims to assess whether digital health interventions can be cost-effective in these patients. DESIGN: Systematic review of RCTs. Study quality was assessed using RoB2 tool. DATA SOURCES: Systematic search in three databases: PubMed, Scopus and Web of Science. ELIGIBILITY CRITERIA: Studies were eligible if they were RCTs with health economic evaluations assessing participants with asthma and/or COPD and comparing a digital health intervention to standard of care. RESULTS: We included 35 RCTs, of which 21 were related to COPD, 13 to asthma and one to both diseases. Overall, studies assessed four categories of digital health interventions: (i) Electronic patient diaries (n = 4), (ii) real-time monitoring (n = 19), (iii) teleconsultations (n = 6) and (iv) others (n = 6). Eleven studies performed a full economic evaluation analysis, while 24 studies performed a partial economic analysis. Most studies involving real-time monitoring or teleconsultations presented economic results in favour of digital health interventions (indicating them to be cost-effective or less expensive than the standard of care). Mixed results were obtained for electronic patient diaries. In the studies that conducted a full economic analysis, the incremental cost-effectiveness ratio (ICER) ranged from 3530,93€/QALY and 286,369,28€/QALY. In the studies that conducted a partial economic analysis, the cost differences between the intervention group and the control group ranged from 0,12€ and 85,217,86€. Half studies with low risk of bias concluded that the intervention was economically favourable. CONCLUSION: Although costs varied based on intervention type, follow-up period and country, most studies report digital health interventions to be affordable or associated with decreased costs. TRIAL REGISTRATION: PROSPERO: CRD42023439195.

Cost-Utility Analysis of Antipsychotic Reduction and Discontinuation in Patients with Long-term Schizophrenia and Psychosis in English Mental Health Trusts: The RADAR Study.

OBJECTIVES: The current recommended treatment for patients with recurrent episodes of schizophrenia and related conditions is antipsychotic medication. However, many antipsychotic users remain functionally impaired and experience serious physical and mental side effects. This study aims to assess the cost-effectiveness of a gradual antipsychotic reduction and discontinuation strategy compared to maintenance treatment over 24 months from a mental health services, health and social care, and societal perspectives. METHODS: Nineteen mental health trusts recruited patients to the RADAR randomised controlled trial. Quality adjusted life years (QALYs) were calculated from patient-reported EQ-5D-5L, with years of full capability (YFCs) calculated from the patient-reported ICECAP-A. Mental health services use and medication was collected from medical records. Other resource use and productivity loss was collected using self-completed questionnaires. Costs were calculated from published sources. RESULTS: 253 participants were randomised: 126 assigned to antipsychotic dose reduction and 127 to maintenance. There were no significant differences between arms in total costs for any perspectives. There were no significant difference in QALYs (-0.035; 95% CI: -0.123 to 0.052), whereas YFCs were significantly lower in the reduction arm compared to the maintenance arm (baseline-adjusted difference: -0.103; 95% CI: -0.192 to -0.014). The reduction strategy was dominated by maintenance for all analyses and was not likely to be cost-effective. CONCLUSIONS: It is unlikely that gradual antipsychotic reduction and discontinuation strategy is cost-effective compared with maintenance over two-years for patients with schizophrenia and other recurrent psychotic disorders who are on long-term antipsychotics.

Developing a risk score to inform the use of rhBMP-2 in adult spinal deformity surgery.

BACKGROUND: Recombinant human bone morphogenetic protein-2 (rhBMP-2) has not shown superior benefit overall in cost-effectiveness during adult spinal deformity (ASD) surgery. STUDY DESIGN/SETTING: Retrospective PURPOSE: Generate a risk score for pseudarthrosis to inform the utilization of rhBMP-2, balancing costs against quality of life and complications. METHODS: ASD patients with 3-year data were included. Quality of life gained was calculated from ODI to SF-6D and translated to quality-adjusted life years (QALYs). Cost was calculated using the PearlDiver database and CMS definitions for complications and comorbidities. Established weights were generated for predictive variables via logistic regression to yield a predictive risk score for pseudarthrosis that accounted for frailty, diabetes, depression, ASA grade, thoracolumbar kyphosis and three-column osteotomy use. Risk score categories, established via conditional inference tree (CIT)-derived thresholds were tested for cost-utility of rhBMP-2 usage, controlling for age, prior fusion, and baseline deformity and disability. RESULTS: 64% of ASD patients received rhBMP-2 (308/481). There were 17 (3.5%) patients that developed pseudarthrosis. rhBMP-2 use overall did not lower pseudarthrosis rates (OR: 0.5, [0.2-1.3]). Pseudarthrosis rates for each risk category were: No Risk (NoR) 0%; Low-Risk (LowR) 1.6%; Moderate Risk (ModR) 9.3%; High-Risk (HighR) 24.3%. Patients receiving rhBMP-2 had similar QALYs overall to those that did not (0.163 vs. 0.171, p = .65). rhBMP-2 usage had worse cost-utility in the LowR cohort (p < .001). In ModR patients, rhBMP-2 usage had equivocal cost-utility ($53,398 vs. $61,581, p = .232). In the HighR cohort, the cost-utility was reduced via rhBMP-2 usage ($98,328 vs. $211,091, p < .001). CONCLUSION: Our study shows rhBMP-2 demonstrates effective cost-utility for individuals at high risk for developing pseudarthrosis. The generated score can aid spine surgeons in the assessment of risk and enhance justification for the strategic use of rhBMP-2 in the appropriate clinical contexts. LEVEL OF EVIDENCE: III.

The cost-utility analysis of adding ocrelizumab to the treatment plan for primary progressive multiple sclerosis in Iran.

BACKGROUND: This study evaluates the cost-effectiveness of adding ocrelizumab to supportive care for primary progressive multiple sclerosis (PPMS) in Iran. RESEARCH DESIGN AND METHODS: Using a lifetime horizon from the payer's perspective, we developed a decision analytic model with Expanded Disability Status Scales (EDSS) as Markov health states while taking transition probabilities and treatment effects into account. Data were sourced from clinical trials and other literature. The target population was PPMS patients receiving either supportive care or ocrelizumab. We assessed cost- effectiveness through total costs, quality-adjusted life-years (QALYs), and the incremental cost- effectiveness ratio (ICER). Sensitivity analyses addressed uncertainties. RESULTS: The addition of ocrelizumab to supportive care provided an incremental gain of 0.89 QALYs and an additional cost of US$76,771.34, resulting in an ICER of US$86,220.35 compared to supportive care, which is 5.2 times Iran's GDP per capita (US$16,557). Thus, ocrelizumab is not cost-effective at the threshold of one time GDP per capita. However, the probability of cost-effectiveness increases at higher thresholds. Sensitivity analyses confirmed the robustness of the results. CONCLUSION: While ocrelizumab is not cost-effective at the threshold of one-time GDP per capita, its clinical benefits are significant. Formulating healthcare policies for high-cost medications with low alternatives like ocrelizumab is essential.

An Economic Evaluation of Family-Based Versus Traditional Helicobacter pylori Screen-and-Treat Strategy: Based on Real-World Data and Microsimulation Model.

OBJECTIVE: There is an economic evaluation on the family-based Helicobacter pylori screen-and-treat strategy (FBHS) in China. This study aimed to compare the cost-effectiveness of the FBHS with the traditional H. pylori screen-and-treat strategy (TBHS). MATERIALS AND METHODS: A seven-state microsimulation model, including H. pylori infection and gastric cancer states, was constructed on the basis of the target family samples from 29 provinces in China. Taking a lifetime horizon from a healthcare system perspective, the long-term costs and health outcomes of the FBHS and TBHS screening strategies were simulated separately, and economic evaluations were performed. The model parameters were primarily derived from real-world data, published literature, and expert opinions. The primary outcome was the incremental cost-effectiveness ratio (ICER) expressed as cost/quality-adjusted life-year (QALY) gained. One-way sensitivity analysis, probabilistic sensitivity analysis, and scenario analysis were performed to assess the uncertainty of the results. RESULTS: The base-case analysis revealed that the average costs for FBHS and TBHS were 563.67 CNY and 574.08 CNY, respectively, with corresponding average QALYs of 14.83 and 14.79. The ICER for the comparison between the two strategies was -214.07, indicating that FBHS was an absolutely dominant strategy with better cost-effectiveness. The results of both one-way sensitivity analysis and probabilistic sensitivity analysis were robust. When taking into account the added benefit of the higher H. pylori eradication rate in FBHS, the average costs were further reduced, and the average QALYs were increased, solidifying its position as an unequivocally dominant strategy. CONCLUSION: The FBHS is an absolutely dominant and cost-effective strategy that enables an optimized allocation of screening resources. Decision-makers should prioritize FBHS when developing H. pylori prevention and control strategies.

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.

Cost-effectiveness Analysis of the Oncomine™ Dx Target Test MultiCDx System Using Next-generation Sequencing and Single-gene Test in Advanced and Recurrent Nonsquamous Non-small-cell Lung Cancer.

Introduction: To determine the appropriate treatment for patients with advanced/recurrent nonsquamous non‒small-cell lung cancer (NSCLC), a companion diagnostic was conducted to detect driver mutations through genetic testing. In Japan, Oncomine Dx Target Test (DxTT) using next-generation sequencing (NGS) that can comprehensively detect gene mutations or single-gene tests are conducted as companion diagnostics. Furthermore, cost-effectiveness analysis was conducted to compare the cost-effectiveness of Oncomine DxTT using NGS with that of single-gene test in Japan. Methods: The target population included patients with advanced/recurrent nonsquamous NSCLC. A model structure was constructed for the Oncomine DxTT strategy and three single-gene tests (i.e., epidermal growth factor receptor (EGFR) mutations and anaplastic lymphoma kinase (ALK)/c-ros oncogene 1 (ROS1) rearrangements) with reference to previous studies and the Clinical Practice Guidelines of Lung Cancer 2022 in Japan. The model structure assumed that genetic testing would be conducted and first-line treatment used the drug most recommended in the 2022 Japanese Lung Cancer Clinical Practice Guidelines, depending on the driver mutation,. Model inputs were obtained from the literature and price list in Japan, and cost-utility analysis was conducted. Results: For the Oncomine DxTT strategy, the expected incremental costs and effectiveness were estimated to be approximately JPY 172,361 (JPY 12,285,228 vs. JPY 12,112,867 for strategies A and B, respectively) and -0.51 quality-adjusted life-year (QALY) per patient (21.93 QALY vs. 22.44 QALY for strategies A and B). As a result, the costs increased but the effectiveness decreased. Therefore, the Oncomine DxTT strategy was dominated by the three single-gene tests. Sensitivity and scenario analyses revealed that the test success rate of Oncomine DxTT affected the results. Conclusions: The genetic test using Oncomine DxTT before the first-line treatment is not cost-effective compared with the three single-gene tests (EGFR/ALK/ROS1) for patients with advanced/recurrent nonsquamous NSCLC.

Quality of life assessment and cost­utility analysis of initial chemotherapy for patients with non­Hodgkin's lymphoma: A prospective analysis.

Chemotherapy has helped prolong survival in patients with malignant lymphoma, enhancing their quality of life (QOL). Despite the eventual decline in the QOL of patients, the impact of initial chemotherapy remains poorly understood. A prospective patient-reported QOL survey among patients with malignant lymphoma receiving initial chemotherapy was conducted, targeting those treated at Gifu Municipal Hospital (Gifu, Japan) between January 2021 and December 2022. Surveys were conducted pre- and post-chemotherapy based on the EuroQol 5 dimensions. Drug costs were calculated using official prices and analyzed from the cost payer's perspective via cost-utility analysis. Among the 60 patients included in the present study, 28 had diffuse large B-cell lymphoma. Cyclophosphamide, doxorubicin, vincristine, prednisolone ± rituximab therapy was the most common treatment (38 patients) and demonstrated superior cost-effectiveness due to its lowest cost and change in utility value. Initial chemotherapy for patients with malignant lymphoma generally improved the QOL. Clinical trial registration: UMIN000042868 (registered on December 28, 2020).

Optimising Alzheimer's Disease Diagnosis and Treatment: Assessing Cost-Utility of Integrating Blood Biomarkers in Clinical Practice for Disease-Modifying Treatment.

BACKGROUND: Recent developments in blood biomarkers (BBM) have shown promising results in diagnosing amyloid pathology in Alzheimer's Disease (AD). However, information on how these BBMs can best be used in clinical settings to optimise clinical decision-making and long-term health outcomes for individuals with AD is still lacking. OBJECTIVES: We aim to assess the potential value of BBM in AD diagnosis within the context of disease-modifying treatment (DMT). DESIGN: We developed a decision analytic model to evaluate the long-term health outcomes using BBM in AD diagnosis. We compared standard of care (SOC) diagnosis workflow to the integration of BBM as a (1) referral decision tool in primary health center (PHC) and (2) triaging tool for invasive CSF examination in specialist memory clinic (MC). We combined a decision tree and a Markov model to simulate the patient's diagnostic journey, treatment decisions following diagnosis and long-term health outcomes. Input parameters for the model were identified from published literature and registry data analysis. We conducted a cost-utility analysis from the societal perspective using a one-year cycle length and a 30-year (lifetime) horizon. MEASUREMENTS: We reported the simulated outcomes in the percentage of correct diagnosis, costs (in 2022 Euros), quality-adjusted life year (QALY), and incremental cost-effectiveness ratios (ICER) associated with each diagnosis strategy. RESULTS: Compared to SOC, integrating BBM in PHC increased patient referrals by 8% and true positive AD diagnoses by 10.4%. The lifetime costs for individuals diagnosed with AD were € 249,685 and €250,287, and QALYs were 9.5 and 9.52 in SOC and PHC pathways, respectively. The cost increments were €603, and QALYs gained were 0.01, resulting in an ICER of €48,296. Using BBM in MC reduced the exposure to invasive CSF procedures and costs but also reduced true positive AD diagnoses and QALYs. CONCLUSIONS: Using BBM at PHC to make referral decisions might increase initial diagnostic costs but can prevent high costs associated with disease progression, providing a cost-effective DMT is available, whereas using BBM in MC could reduce the initial evaluation cost but incur high costs associated with disease progression.

Cost-utility analysis of a palliative care program in Colombia.

BACKGROUND: The economic assessment of health care models in palliative care promotes their global development. The purpose of the study is to assess the cost-effectiveness of a palliative care program (named Contigo) with that of conventional care from the perspective of a health benefit plan administrator company, Sanitas, in Colombia. METHODS: The incremental cost-utility ratio (ICUR) and the incremental net monetary benefit (INMB) were estimated using micro-costing in a retrospective, analytical cross-sectional study on the care of terminally ill patients enrolled in a palliative care program. A 6-month time horizon prior to death was used. The EQ-5D-3 L questionnaire (EQ-5D-3 L) and the McGill Quality of Life Questionnaire (MQOL) were used to measure the quality of life. RESULTS: The study included 43 patients managed within the program and 16 patients who received conventional medical management. The program was less expensive than the conventional practice (difference of 1,924.35 US dollars (USD), P = 0.18). When compared to the last 15 days, there is a higher perception of quality of life, which yielded 0.25 in the EQ-5D-3 L (p < 0.01) and 1.55 in the MQOL (P < 0.01). The ICUR was negative and the INMB was positive. CONCLUSION: Because the Contigo program reduces costs while improving quality of life, it is considered to be net cost-saving and a model with value in health care. Greater availability of palliative care programs, such as Contigo, in Colombia can help reduce existing gaps in access to universal palliative care health coverage, resulting in more cost-effective care.

Cost-Effectiveness of Low-Dose Computed Tomography Screenings for Lung Cancer in High-Risk Populations: A Markov Model.

Background: Domestic and foreign studies on lung cancer have been oriented to the medical efficacy of low-dose computed tomography (LDCT), but there is a lack of studies on the costs, value and cost-effectiveness of the treatment. There is a scarcity of conclusive evidence regarding the cost-effectiveness of LDCT within the specific context of Taiwan. This study is designed to address this gap by conducting a comprehensive analysis of the cost-effectiveness of LDCT and chest X-ray (CXR) as screening methods for lung cancer. Methods: Markov decision model simulation was used to estimate the cost-effectiveness of biennial screening with LDCT and CXR based on a health provider perspective. Inputs are based on probabilities, health status utility (quality-adjusted life years (QALYs)), costs of lung cancer screening, diagnosis, and treatment from the literatures, and expert opinion. A total of 1,000 simulations and five cycles of Markov bootstrapping simulations were performed to compare the incremental cost-utility ratio (ICUR) of these two screening strategies. Probability and one-way sensitivity analyses were also performed. Results: The ICUR of early lung cancer screening compared LDCT to CXR is $-24,757.65/QALYs, and 100% of the probability agree to adopt it under a willingness-to-pay (WTP) threshold of the Taiwan gross domestic product (GDP) per capita ($35,513). The one-way sensitivity analysis also showed that ICUR depends heavily on recall rate. Based on the prevalence rate of 39.7 lung cancer cases per 100,000 people in 2020, it could be estimated that LDCT screening for high-risk populations could save $17,154,115. Conclusion: LDCT can detect more early lung cancers, reduce mortality and is cost-saving than CXR in a long-term simulation of Taiwan's healthcare system. This study provides valuable insights for healthcare decision-makers and suggests analyzing cost-effectiveness for additional variables in future research.

Cost-Utility Analysis of 3-Month Telemedical Intervention for Heart Failure Patients: A Preliminary Study from Poland.

Heart failure (HF) is a common clinical syndrome in which the cardiac systolic and/or diastolic functions are significantly insufficient, resulting in an inadequate pump function. Currently, it is one of the leading causes of human death and/or hospitalization, and it has become a serious global public health problem. Approximately 1.2 million people in Poland suffer from HF, and approximately 140,000 of them die every year. In this article, we present the result of telemedicine intervention and its cost-effectiveness in a group of patients from a pilot program on telemedicine and e-health solutions reducing social inequalities in the field of cardiology. Based on the EQ-5D-5L questionnaire administered in the beginning of the project and after approximately 3 months, used for the health state utility values calculation, cost estimates of the project, and inclusion of supplementary data, the economic rationale behind telemedical intervention in HF patients using a cost-utility analysis was corroborated. The choice of a 3-month project duration was due to the top-down project assumptions approved by the bioethics committee. The average improvement in health state utility values was statistically significant, implying a 0.01 QALY improvement per patient. The cost of the telemedical intervention per QALY was well within the official limit adopted as a cost-effective therapy measure in Poland.

Polypill versus medication monotherapy in the prevention of cardiovascular diseases in Iran: An economic evaluation study.

Background and Aims: Cardiovascular diseases (CVDs) are one of the major diseases in developing and developed countries and have high prevalence and mortality rates. Pharmacological interventions, especially the use of combination medications, can have preventive effects in patients with CVDs. Recently, in the PolyIran trial, a combination of atorvastatin, hydrochlorothiazide, aspirin, and valsartan or enalapril (Polypill) was shown to be effective in providing survival benefits as a primary prevention strategy. In the present study, we examine the cost-effectiveness of the use of polypill compared to its individual components (named as medication monotherapy) in the prevention of CVDs in Iran. Methods: This was an economic evaluation study conducted to compare the cost-utility of polypill with that of medication monotherapy for 10,000 hypothetical cohorts of people over 35 years of age using the Markov model and with a lifetime horizon. The study perspective was patient perspective and direct medical costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratio were estimated. To deal with uncertaintysensitivity analyses were used. Results: The results showed that polypill, with the lowest costs (871 USD) and highest QALYs (14.55), had the most cost-utility than medication monotherapy. Also, the results showed that the highest sensitivities were related to the utilities of angina and stroke states. At the 21,768 USD threshold, polypill had a 92% probability of being cost-effective versus other medications. Conclusion: Considering that polypill had the most cost-utility, it is suggested that health system policymakers pay special attention to polypill in designing clinical guidelines. Also, through covering this medication by health insurance organizations, it is possible to complete the country's medicine pharmacopeia in preventing CVDs.

Cost-utility and budget impact analysis of neoadjuvant dual HER2 targeted therapy for HER2-positive breast cancer in Sri Lanka.

This study aimed to assess the cost-utility and budget impact of dual to single HER2 targeted neoadjuvant therapy for HER2-positive breast cancer in Sri Lanka. A five-health state Markov model with lifetime horizon was used to assess the cost-utility of neoadjuvant trastuzumab (T) plus pertuzumab (P) or lapatinib (L) compared to single therapy of T with chemotherapy (C), in public healthcare system and societal perspectives. Input parameters were estimated using local data, network meta-analysis, published reports and literature. Costs were adjusted to year 2021 (1USD = LKR194.78). Five-year budget impact for public healthcare system was assessed. Incremental cost-effectiveness ratios in societal perspective for neoadjuvantLTC plus adjuvantT (strategy 3), neoadjuvantPTC plus adjuvantT (strategy 2), neoadjuvantLTC plus adjuvantLT (strategy 5), and neoadjuvantPTC plus adjuvantPT (strategy 4) compared to neoadjuvantTC plus adjuvantT (strategy 1) were USD2716, USD5600, USD6878, and USD12127 per QALY gained, respectively. One GDP per-capita (USD3815) was considered as the cost-effectiveness threshold for the analysis. Even though only the ICER for strategy 3 was cost-effective, uncertainty of efficacy parameter was revealed. For strategy 2 neoadjuvant PTC plus adjuvant T, a 25% reduction of neoadjuvant regimen cost was required to be cost effective for use in early HER2 positive breast cancer.

A systematic review of economic evaluations conducted on gender-transformative interventions aimed at preventing unintended pregnancy and promoting sexual health in adolescents.

AIMS: We synthesised the best-available evidence on economic evaluations of gender-transformative interventions that prevent unintended pregnancy and promote sexual-health in adolescents. We also assessed the methodological quality of the economic-evaluation studies and identified gaps in the economic-evaluation evidence. DESIGN: A systematic review (SR) of economic evaluations reported using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 2020. DATA SOURCES: We searched the following bibliographic databases for economic evaluations that met our selection criteria; PubMed, Cochrane, National Health Service EE database, SCOPUS, CINHAL, Web of Science and Paediatric EE Database. We also conducted a grey literature search. We included articles published from January 1, 1990 to December 31, 2021, in English, including adolescents aged 10-19. Two independent reviewers conducted the title and full-text screening. DATA EXTRACTION AND SYNTHESIS: One reviewer conducted data extraction and quality assessment, which a second reviewer checked. We used the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement and Consensus on Health Economic Criteria (CHEC) checklist to measure the reporting and methodological quality. Synthesis was done narratively and using summary tables. RESULTS: Twenty-two studies were included, with 16 full and six partial economic evaluations. The quality of studies was moderate to high for most. The most reported outcomes were incremental cost-effectiveness ratio, costs per averted sexually transmitted infection, quality-adjusted life years saved per averted infection and costs per averted pregnancy. Most studies were cost-effective or cost-saving. CONCLUSIONS: Most of the economic evaluations are cost-effective. There is a scarcity of available economic evaluations for most existing gender-transformative interventions, with most included studies originating from high-income countries (HICs). There is a need to develop guidance specific to economic evaluations of gender-transformative interventions.

Exploring the Cost-Effectiveness of Newborn Screening for Metachromatic Leukodystrophy (MLD) in the UK.

Metachromatic leukodystrophy (MLD) is a fatal inherited lysosomal storage disease that can be detected through newborn bloodspot screening. The feasibility of the screening assay and the clinical rationale for screening for MLD have been previously demonstrated, so the aim of this study is to determine whether the addition of screening for MLD to the routine newborn screening program in the UK is a cost-effective use of National Health Service (NHS) resources. A health economic analysis from the perspective of the NHS and Personal Social Services was developed based on a decision-tree framework for each MLD subtype using long-term outcomes derived from a previously presented partitioned survival and Markov economic model. Modelling inputs for parameters related to epidemiology, test characteristics, screening and treatment costs were based on data from three major UK specialist MLD hospitals, structured expert opinion and published literature. Lifetime costs and quality-adjusted life years (QALYs) were discounted at 1.5% to account for time preference. Uncertainty associated with the parameter inputs was explored using sensitivity analyses. This health economic analysis demonstrates that newborn screening for MLD is a cost-effective use of NHS resources using a willingness-to-pay threshold appropriate to the severity of the disease; and supports the inclusion of MLD into the routine newborn screening programme in the UK.

Cost-effectiveness of RSVpreF vaccine and nirsevimab for the prevention of respiratory syncytial virus disease in Canadian infants.

BACKGROUND: Health Canada recently authorized the RSVpreF pregnancy vaccine and nirsevimab to protect infants against respiratory syncytial virus (RSV) disease. OBJECTIVE: Assess the cost-effectiveness of RSVpreF and nirsevimab programs in preventing RSV disease in infants, compared to a palivizumab program. METHODS: We used a static cohort model of a Canadian birth cohort during their first RSV season to estimate sequential incremental cost-effectiveness ratios (ICERs) in 2023 Canadian dollars per quality-adjusted life year (QALY) for nine strategies implemented over a one-year time period, from the health system and societal perspectives. Sensitivity and scenario analyses were conducted to explore the impact of uncertainties on the results. RESULTS: All-infants nirsevimab programs averted more RSV-related outcomes than year-round RSVpreF programs, with the most RSV cases averted in a seasonal nirsevimab program with catch-up. Assuming list prices for these immunizing agents, all-infants nirsevimab and year-round RSVpreF programs were never cost-effective, with ICERs far exceeding commonly used cost-effectiveness thresholds. Seasonal nirsevimab with catch-up for infants born outside the RSV season was a cost-effective program if prioritized for infants at moderate/high-risk (ICER <$28,000 per QALY) or those living in settings with higher RSV burden and healthcare costs, such as remote communities where transport would be complex (ICER of $5700 per QALY). Using a $50,000 per QALY threshold, an all-infants nirsevimab program could be optimal if nirsevimab is priced at <$110-190 per dose. A year-round RSVpreF for all pregnant women and pregnant people plus nirsevimab for infants at high-risk was optimal if nirsevimab is priced at >$110-190 per dose and RSVpreF priced at <$60-125 per dose. INTERPRETATION: Prophylactic interventions can substantially reduce RSV disease in infants, and more focused nirsevimab programs are the most cost-effective option at current product prices.

Cost-utility analysis of an alcohol policy in Thailand: a case study of a random breath testing intervention.

BACKGROUND: Road traffic injuries are a major concern worldwide, with Thailand facing high accident mortality rates. Drunk driving is a key factor that requires countermeasures. Random breath testing (RBT) and mass media campaigns recommended by the World Health Organisation intend to deter such behaviour. This study aimed to evaluate the cost-effectiveness of implementing RBT in combination with mass media campaigns in Thailand. METHODS: A Markov simulation model estimated the lifetime cost and health benefits of RBT with mass media campaigns compared to mass media campaigns only. Direct medical and non-medical care costs were evaluated from a societal perspective. The health outcomes were quality-adjusted life years (QALY). Costs and outcomes were discounted by 3% per year. Subgroup analyses were conducted for both sexes, different age groups, and different drinking levels. Probabilistic sensitivity analyses were conducted over 5,000 independent iterations using a predetermined distribution for each parameter. RESULTS: This study suggested that RBT with mass media campaigns compared with mass media campaigns increases the lifetime cost by 24,486 THB per male binge drinker and 10,475 THB per female binge drinker (1 USD = 35 THB) and results in a QALY gain of 0.43 years per male binge drinker and 0.10 years per female binge drinker. The intervention yielded incremental cost-effectiveness ratios (ICERs) of 57,391 and 103,850 THB per QALY for male and female drinkers, respectively. Moreover, the intervention was cost-effective for all age groups and drinking levels. The intervention yielded the lowest ICER among male-dependent drinkers. Sensitivity analyses showed that at a willingness-to-pay (WTP) threshold of 160,000 per QALY gained, the RBT combined with mass media campaigns had a 99% probability of being optimal for male drinkers, whereas the probability for females was 91%. CONCLUSIONS: RBT and mass media campaigns in Thailand are cost-effective for all ages and drinking levels in both sexes. The intervention yielded the lowest ICER among male-dependent drinkers. Given the current Thai WTP threshold, sensitivity analyses showed that the intervention was more cost-effective for males than females.