[Evaluation of the Viral Hemorrhagic Fever Surveillance System in the Assaba region, Mauritania (2020-2022)]. / Évaluation du système de surveillance des fièvres hémorragiques virales dans la wilaya d'Assaba, Mauritanie (2020-2022).

Introduction: Several arboviral diseases have been known to be endemic (e.g., Crimean-Congo hemorrhagic fever, Rift Valley fever) or are emerging (dengue fever, chikungunya, O'nyong-nyong) in human populations in Mauritania, while others have become rare in recent years (e.g. yellow fever). Moreover, domestic animals, especially cattle, camels, goats, and sheep, are also known to be infected with some of these arboviruses (e.g. Crimean-Congo hemorrhagic fever, Rift Valley fever). For these reasons, viral hemorrhagic fever surveillance in Mauritania is part of the Integrated Disease Surveillance and Response (IDSR). However, limited information is available on the efficacy of the viral hemorrhagic fever surveillance system in the Assaba region of Mauritania. The aim of the present study was to assess the performance of the surveillance system, in particular its general utility, simplicity, flexibility, acceptability, and reactivity. Methods: A descriptive cross-sectional study was conducted from July to August 2022 in the Assaba region with the objective of evaluating the characteristics of the system by interviewing key actors involved in the surveillance of viral hemorrhagic fevers, with a focus on Rift Valley fever and Crimean-Congo hemorrhagic fever, using questionnaires developed following the guidelines of the Centers for Disease Control and Prevention (Atlanta, Georgia, USA). Data from 2020-2022 on viral hemorrhagic fevers from the National Institute of Public Health laboratory were analyzed. Medians, interquartile ranges, and proportions were calculated using Epi Info® 7.2.5.0 and Excel® 2021. Results: The questionnaire was answered by all twenty-six persons involved in the viral hemorrhagic fever surveillance system in Assaba region. The majority of survey respondents found the system to be useful (51%), simple (63%), acceptable (46%), responsive (64%), and flexible (46%). An analysis of the data revealed a positive predictive value of 28% for Rift Valley Fever. The weekly distribution of cases within the wilaya indicates that the moughataa of Kiffa recorded the highest number of cases in September, with a notable weekly peak during that month in 2020. According to the analysis of the National Institute of Public Health database, cases of viral hemorrhagic fevers were promptly handled. Survey responses and database analysis revealed issues related to data quality and data management mechanisms. These limitations in the surveillance system are likely to be due to insufficient resources and training of the personnel, in particular with regards to data collection and management, which in turn led to incomplete or missing data and invalid data entry. These weak points can be ascribed, at least in part, to financial constraints and inadequate attribution of priority to arboviral diseases. Despite these limitations, disease data generated by the surveillance system were generally reliable. Conclusion: The viral hemorrhagic fever surveillance system in the Assaba region adheres to the organization and functioning of the national viral hemorrhagic fever surveillance system, which is part of the IDSR. The characteristics of utility, simplicity, responsiveness, and flexibility of the viral hemorrhagic fever surveillance system are good, but acceptability and flexibility need further improvement. The earlier the first arboviral human or animal cases are detected, the more likely an active intervention can be organized in response to the emerging epidemic or epizootic and prevent the spread of the disease. An efficient viral surveillance system is the key to reducing the negative impact of arboviral diseases in Assaba region.

Discriminatory properties of QALY-based CEA for patients with disabilities: A Duchenne muscular dystrophy case study.

OBJECTIVE: Quality-adjusted life years (QALYs) have been challenged as a measure of benefit for people with disabilities, particularly for those in low utility health states or with irreversible disability. This study examined the impact of a QALY-based assessment on the price for a hypothetical treatment for Duchenne muscular dystrophy (DMD), a progressive, genetic neuromuscular disease. METHODS: A previously published, five-state model, which analyzed treatments for early ambulatory (EA) DMD patients, was replicated, validated, and adapted to include early non-ambulatory (ENA) DMD patients. The model was used to assess a QALY-based threshold price (maximum cost-effective price) for a hypothetical treatment for 13-year-old ENA and 5-year-old EA patients (initial health states with lower and higher utility, respectively). All inputs were replicated including willingness-to-pay (WTP) thresholds of $50,000 to $200,000/QALY. RESULTS: In contrast to EA patients, ENA patients had a 98% modeled decline in QALY-based threshold price at a WTP of $150,000/QALY or higher, despite equal treatment benefit (delayed progression/death). At $100,000/QALY or lower, net non-treatment costs exceeded health benefits, implying any treatment for ENA patients would not be considered cost-effective, even at $0 price, including an indefinite pause in disease progression. CONCLUSIONS: For certain severe, disabling conditions, traditional approaches are likely to conclude that treatments are not cost-effective at any price once a patient progresses to a disabled health state with low utility value. These findings elucidate theoretical/ethical concerns regarding potential discriminatory properties of traditional QALY assessments for people with disabilities, particularly those who have lost ambulation or have other physical limitations.

Health Utility Values Among Patients With Diabetic Retinopathy, Wet Age-Related Macular Degeneration, and Cataract in Thailand: A Multicenter Survey Using Time Trade-Off, EQ-5D-5L, and Health Utility Index 3.

OBJECTIVES: This study aimed to establish normative health utility data in Thai patients with diabetic retinopathy, wet age-related macular degeneration, and cataract; evaluate the sensitivity of different utility instruments to visual impairment; explore the relationship among these health utility values with the vision-specific quality of life (QoL); and assess the association of baseline characteristics and visual acuity level with health utility values and vision-specific QoL. METHODS: This multicenter cross-sectional survey included 309 patients from tertiary eye centers. We used health utility instruments (time trade-off [TTO], EuroQol five-dimension [EQ-5D-5L], and Health Utility Index 3 [HUI3]) and vision-specific QoL instrument (National Eye Institute Visual Function Questionnaire) for face-to-face interviews. Demographic data and Early Treatment Diabetic Retinopathy Study visual acuity were recorded during the participants ophthalmic visits. Univariable and multivariable mixed-effect models were used to evaluate factors associated with the utility scores. Health utility scores among each type of eye disease were compared. RESULTS: The overall mean utility values from the TTO, EQ-5D-5L, and HUI3 were 0.84 ± 0.25, 0.70 ± 0.19, and 0.68 ± 0.26, respectively. The health utility scores obtained from TTO and HUI3 showed a significant response to severe visual impairment or worse. Health utility scores from HUI3 (r = 0.54; P < .01) and EQ-5D-5L (r = 0.43; P < .01) displayed a moderate correlation with the National Eye Institute Visual Function Questionnaire score. There were no significant differences in health utility value among the 3 diseases upon adjusting for the visual acuity level and demographics. CONCLUSIONS: Visual acuity level has a greater impact on a patient's QoL than the type of eye disease. HUI3 and EQ-5D-5L and TTO are suitable for measuring health utility in leading causes of blindness.

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.

Treatment Preferences of Adult Patients with Attention-Deficit/Hyperactivity Disorder - A Discrete Choice Experiment.

Background: Understanding patient preferences for treatments may facilitate shared decision-making. This study assessed adult patient preferences for attention-deficit/hyperactivity disorder (ADHD) treatments in a sample of 600 patients in the United States (US). Methods: A web-based discrete choice experiment (DCE) survey was conducted among treated adults with ADHD. Participants were recruited from Dynata's US panel (06/22/2023-07/06/2023). Attributes and levels, identified based on clinical inputs and published data, included efficacy and safety. Participants' preferences were estimated using conditional logistic regression. Willingness to trade-off and attributes' relative importance were calculated. Overall preferences for treatment profiles approximating centanafadine, lisdexamfetamine, atomoxetine, and viloxazine were estimated using adjusted total utilities. Results were stratified by current treatment status. Sensitivity analyses including participants who passed validity tests were conducted. Results: Among the 600 participants (mean age 37.9 years; 66.2% female; 50.8% treated), all attributes had a statistically significant impact on preferences for ADHD treatments (p < 0.001); the most important attribute was improvement in ADHD symptoms (36%), followed by risks of nausea (25%), insomnia (20%), anxiety (8%), dry mouth (6%), and feeling jittery (5%). Together, safety attributes accounted for >60% of relative importance in decision-making. Participants were willing to forgo 0.59, 0.57, 0.49, 0.32, and 0.17 percentage points of symptom improvement to achieve one-percentage-point reduced risk of insomnia, nausea, anxiety, feeling jittery, and dry mouth, respectively. Centanafadine profile had consistently higher adjusted total utilities than its comparators. Similar results were obtained in the subgroup and sensitivity analyses. Conclusion: Efficacy was the most important attribute for patients when making treatment decision, but taken together, AEs had greater relative importance than efficacy alone. Accordingly, a profile resembling that of centanafadine would be preferred by an average patient compared to key competitors due to its favorable safety profile. These findings may help improve treatment decision-making, enhance treatment satisfaction, and foster adherence.

Emerging biomarkers for non-invasive diagnosis and treatment of cancer: a systematic review.

Cancer remains a global health challenge, necessitating continuous advancements in diagnostic and treatment strategies. This review focuses on the utility of non-invasive biomarkers in cancer diagnosis and treatment, their role in early detection, disease monitoring, and personalized therapeutic interventions. Through a systematic review of the literature, we identified 45 relevant studies that highlight the potential of these biomarkers across various cancer types, such as breast, prostate, lung, and colorectal cancers. The non-invasive biomarkers discussed include liquid biopsies, epigenetic markers, non-coding RNAs, exosomal cargo, and metabolites. Notably, liquid biopsies, particularly those based on circulating tumour DNA (ctDNA), have emerged as the most promising method for early, non-invasive cancer detection due to their ability to provide comprehensive genetic and epigenetic information from easily accessible blood samples. This review demonstrates how non-invasive biomarkers can facilitate early cancer detection, accurate subtyping, and tailored treatment strategies, thereby improving patient outcomes. It underscores the transformative potential of non-invasive biomarkers in oncology, highlighting their application for enhancing early detection, survival rates, and treatment precision in cancer care. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023474749 PROSPERO, identifier CRD42023474749.

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.

LPDi GAN: A License Plate De-Identification Method to Preserve Strong Data Utility.

License plate (LP) information is an important part of personal privacy, which is protected by law. However, in some publicly available transportation datasets, the LP areas in the images have not been processed. Other datasets have applied simple de-identification operations such as blurring and masking. Such crude operations will lead to a reduction in data utility. In this paper, we propose a method of LP de-identification based on a generative adversarial network (LPDi GAN) to transform an original image to a synthetic one with a generated LP. To maintain the original LP attributes, the background features are extracted from the background to generate LPs that are similar to the originals. The LP template and LP style are also fed into the network to obtain synthetic LPs with controllable characters and higher quality. The results show that LPDi GAN can perceive changes in environmental conditions and LP tilt angles, and control the LP characters through the LP templates. The perceptual similarity metric, Learned Perceptual Image Patch Similarity (LPIPS), reaches 0.25 while ensuring the effect of character recognition on de-identified images, demonstrating that LPDi GAN can achieve outstanding de-identification while preserving strong data utility.

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.

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.

Direct and Indirect Mapping of AQoL-6D onto EQ-5D-5L Utilities Using Data from a Multi-centre, Cross-Sectional Study of Malaysians with Chronic Heart Failure.

OBJECTIVE: The AQoL-6D, a generic preference-based measure, is an appealing alternative to EQ-5D-5L for assessing health status in patients with chronic heart failure (HF), given its expanded scope. However, without a Malaysian value set, the AQoL-6D cannot generate health state utility values (HSUVs) to support local economic evaluations. This study intended to develop algorithms for predicting EQ-5D-5L HSUVs from AQoL-6D in an HF population. METHODS: Cross-sectional data from a multi-centre cohort of 419 HF outpatients were used. Both direct and indirect mapping approaches were attempted using five sets of explanatory variables and 8 models (ordinary least squares, Tobit, censored least absolute deviations, generalised linear model, two-part model [TPM], beta regression-based model, adjusted limited dependent variable mixture model, and multinomial ordinal regression [MLOGIT]). The models' predictive performance was assessed through ten-fold cross-validated mean absolute error [MAE] and root mean squared error [RMSE]). Potential prediction bias was also examined graphically. The best-performing models, with the lowest RMSE and no bias, were then identified. RESULTS: Among the models evaluated, TPM, which included age, sex, and five AQoL-6D dimension scores as predictors, appears to be the best-performing model for directly predicting EQ-5D-5L HSUVs from AQoL-6D. TPM yielded the lowest MAE (0.0802) and RMSE (0.1116), and demonstrated predictive accuracy for HSUVs >0.2 without significant bias. A MLOGIT model developed for response mapping had suboptimal predictive accuracy. CONCLUSION: This study developed potentially useful mapping algorithms for generating Malaysian EQ-5D-5L HSUVs from AQoL-6D responses among patients with HF when direct EQ-5D-5L data is unavailable.

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.

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.

Using Wearables to Study Biopsychosocial Dynamics in Couples Who Cope With a Chronic Health Condition: Ambulatory Assessment Study.

BACKGROUND: Technology has become an integral part of our everyday life, and its use to manage and study health is no exception. Romantic partners play a critical role in managing chronic health conditions as they tend to be a primary source of support. OBJECTIVE: This study tests the feasibility of using commercial wearables to monitor couples' unique way of communicating and supporting each other and documents the physiological correlates of interpersonal dynamics (ie, heart rate linkage). METHODS: We analyzed 617 audio recordings of 5-minute duration (384 with concurrent heart rate data) and 527 brief self-reports collected from 11 couples in which 1 partner had type II diabetes during the course of their typical daily lives. Audio data were coded by trained raters for social support. The extent to which heart rate fluctuations were linked among couples was quantified using cross-correlations. Random-intercept multilevel models explored whether cross-correlations might differ by social contexts and exchanges. RESULTS: Sixty percent of audio recordings captured speech between partners and partners reported personal contact with each other in 75% of self-reports. Based on the coding, social support was found in 6% of recordings, whereas at least 1 partner self-reported social support about half the time (53%). Couples, on average, showed small to moderate interconnections in their heart rate fluctuations (r=0.04-0.22). Couples also varied in the extent to which there was lagged linkage, that is, meaning that changes in one partner's heart rate tended to precede changes in the other partner's heart rate. Exploratory analyses showed that heart rate linkage was stronger (1) in rater-coded partner conversations (vs moments of no rater-coded partner conversations: rdiff=0.13; P=.03), (2) when partners self-reported interpersonal contact (vs moments of no self-reported interpersonal contact: rdiff=0.20; P<.001), and (3) when partners self-reported social support exchanges (vs moments of no self-reported social support exchange: rdiff=0.15; P=.004). CONCLUSIONS: Our study provides initial evidence for the utility of using wearables to collect biopsychosocial data in couples managing a chronic health condition in daily life. Specifically, heart rate linkage might play a role in fostering chronic disease management as a couple. Insights from collecting such data could inform future technology interventions to promote healthy lifestyle engagement and adaptive chronic disease management. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/13685.

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 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.

Dynamic resectorization to improve utility of healthcare systems.

Balancing is an essential challenge in healthcare systems that requires effective strategies. This study aims to address this crucial issue by suggesting a practical approach. We show the potential of balancing a regional healthcare system to improve its utility. We consider a regional healthcare system comprising multiple hospitals with different sizes, capacities, quality of service, and accessibility. We define a utility function for the system based on the sectorization concept, which endeavors to form a balance between hospitals in terms of essential outputs such as waiting times and demands. The dynamic nature of the system means that this balance degrades over time, necessitating periodic sectorization, which is called resectorization. Our methodology stands out for incorporating resectorization as a dynamic strategy, enabling more flexible and responsive adaptations to continuously changing healthcare needs. Unlike previous studies, based on a system-oriented approach, our resectorization scenarios include the periodic closure of some hospitals. This enables us to enhance both the capacity and quality of healthcare facilities. Furthermore, in contrast to other studies, we investigate the states of diminishing demand throughout the resectorization process. To provide empirical insights, we conduct a simulation using data from a real-world case study. Our analysis spans multiple time periods, enabling us to dynamically quantify the utility of the healthcare system. The numerical findings demonstrate that substantial utility improvements are attainable through the defined scenarios. The study suggests a practical solution to the critical challenge of balancing issues in regional healthcare systems.

Clinical Utility of a Rapid 2D Balanced Steady State Free Precession Sequence with Deep Learning Reconstruction.

BACKGROUND: Cardiovascular magnetic resonance (CMR) cine imaging is still limited by long acquisition times. This study evaluated the clinical utility of an accelerated two-dimensional (2D) cine sequence with deep learning reconstruction (Sonic DL) to decrease acquisition time without compromising quantitative volumetry or image quality. METHODS: A sub-study using 16 participants was performed using Sonic DL at two different acceleration factors (8x and 12x). Quantitative left-ventricular volumetry, function and mass measurements were compared between the two acceleration factors against a standard cine method. Following this sub-study, 108 participants were prospectively recruited and imaged using a standard cine method and the Sonic DL method with the acceleration factor that more closely matched the reference method. Two experienced clinical readers rated images based on their diagnostic utility and performed all image contouring. Quantitative contrast difference and endocardial border sharpness were also assessed. Left- and right-ventricular volumetry, left-ventricular mass and myocardial strain measurements were compared between cine methods using Bland-Altman plots, Pearson's correlation, and paired t-tests. Comparative analysis of image quality was measured using Wilcoxon-signed-rank tests and visualized using bar graphs. RESULTS: Sonic DL at an acceleration factor of 8 more closely matched the reference cine method. There were no significant differences found across left ventricular volumetry, function, or mass measurements. In contrast, an acceleration factor of 12 resulted in a 6% reduction of measured ejection fraction when compared to the standard cine method and a 4% reduction of measured ejection fraction when compared to Sonic DL at an acceleration factor of 8. Thus, Sonic DL at an acceleration factor of 8 was chosen for downstream analysis. In the larger cohort, this accelerated cine sequence was successfully performed in all participants and significantly reduced the acquisition time of cine images compared to the standard 2D method (reduction of 40%, p < 0.0001). Diagnostic image quality ratings and quantitative image quality evaluations were statistically not different between the two methods (p > 0.05). Left- and right-ventricular volumetry and circumferential and radial strain were also similar between methods (p > 0.05) but left-ventricular mass and longitudinal strain were over-estimated using the proposed accelerated cine method (mass over-estimated by 3.36g/m2, p < 0.0001; longitudinal strain over-estimated by 1.97%, p = 0.001). CONCLUSIONS: This study found that an accelerated 2D cine method with DL reconstruction at an acceleration factor of 8 can reduce CMR cine acquisition time by 40% without significantly affecting volumetry or image quality. Given the increase of scan time efficiency, this undersampled acquisition method using deep learning reconstruction should be considered for routine clinical CMR.

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.