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- Berg, Jenny, et al.
(författare)
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Economic Evaluation of Elective Cesarean Section on Maternal Request Compared With Planned Vaginal Birth-Application to Swedish Setting Using National Registry Data
- 2023
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Ingår i: Value in Health. - : Elsevier BV. - 1098-3015 .- 1524-4733. ; 26:5, s. 639-648
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: There is a lack of consensus around the definition of delivery by cesarean section (CS) on maternal request, and clinical practice varies across and within countries. Previous economic evaluations have focused on specific populations and selected complications. Our aim was to evaluate the cost-effectiveness of CS on maternal request compared with planned vaginal birth in a Swedish context, based on a systematic review of benefits and drawbacks and national registry data on costs.Methods: We used the results from a systematic literature review of somatic risks for long-and short-term complications for mother and child, in which certainty was rated low, moderate, or high using the Grading of Recommendations Assessment, Development and Evaluation. Swedish national registry data were used for healthcare costs of delivery and complications. Utilities for long-term complications were based on a focused literature review. We constructed a decision tree and conducted separate analyses for primi-and multiparous women. Costs and effects were discounted by 3% and the time horizon was varied between 1 and 20 years.Results: Planned vaginal birth leads to lower healthcare costs and somatic health gains compared with elective CS without medical indication over up to 20 years. Although there is uncertainty around, for example, quality-of-life effects, results remain stable across sensitivity analyses.Conclusions: CS on maternal request leads to increased hospitalization costs in a Swedish setting, taking into account short -and long-term consequences for both mother and child. Future research needs to study the psychological consequences related to different delivery methods, costs in outpatient care, and productivity losses.
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- Coaquira, Castro J., et al.
(författare)
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INTERNAL, EXTERNAL, AND CROSS-VALIDATION OF THE DEDUCE MODEL, A COST-UTILITY TOOL USING PATIENT-LEVEL MICROSIMULATION TO EVALUATE SENSOR-BASED GLUCOSE MONITORING SYSTEMS IN TYPE 1 AND TYPE 2 DIABETES
- 2022
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Ingår i: Value in Health. - : ELSEVIER SCIENCE INC. - 1098-3015 .- 1524-4733. ; 25:12 Suppl., s. S11-S11
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Objectives: For health care decision-makers, the use of computer simulation modelsr equires transparency, precision and accuracy. Systematic comparisons of diabetes models, per Mount Hood Challenges, have shown significant variability in results between models. We developed and validated a new cost-effectiveness model (the DEtermination of Diabetes Utilities, Costs, and Effects [DEDUCE] model) in both type 1 and 2 diabetes mellitus (T1DM, T2DM) to evaluate sensor-based glucose monitoring.Methods: This Excel-based patient-level microsimulation model used a cost-utility approach to compare sensor-based glucose monitoring systems to self-monitoring of blood glucose (SMBG) testing over a specified time horizon (1 to 100 years) with yearly cycles. The model used the Sheffield risk engine for T1DM and the Risk Equations for Complications Of type 2 Diabetes (RECODe) risk engine for T2DM to predict macro- and microvascular events. Inputs, model architecture, and subse-quent validation analyses were reviewed and informed by an advisory board of health economists, endocrinologists and diabetologists.Results: Internal validation (comparing model predictions to observed outcomes from studies from which the risk equations were derived) and external validation (predictions compared to external datasets) demonstrated high precision (R2 $ 0.98) and reasonable accuracy (mean absolute percentage error [MAPE] ranging from 7.64-68%) with regards to macrovascular outcomes for T1DM, and high precision (R2 = 0.94) and high accuracy (MAPE = 19.8%) with regards to all-cause mortality in T2DM. Cross validation (comparing model outcomes between DEDUCE and published results from models participating in previous Mount Hood Challenges) indicated that DEDUCE had the best accuracy (MAPE = 36%) and non-inferior precision (R2 = 0.16) relative to other T1DM models, and second-to-best accuracy (MAPE = 25.03%) and high precision (R2 = 0.95) relative to other T2DM models.Conclusions: In both T1DM & T2DM, DEDUCE suitably predicted key outcomes and performed favorably compared with existing models that participated in the Mount Hood Challenges, including the Core Diabetes Model.
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- Colson, Abigail R., et al.
(författare)
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Antimicrobial Resistance : Is Health Technology Assessment Part of the Solution or Part of the Problem?
- 2021
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Ingår i: Value in Health. - : Elsevier. - 1098-3015 .- 1524-4733. ; 24:12, s. 1828-1834
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Tidskriftsartikel (refereegranskat)abstract
- Antimicrobial resistance is a serious challenge to the success and sustainability of our healthcare systems. There has been increasing policy attention given to antimicrobial resistance in the last few years, and increased amounts of funding have been channeled into funding for research and development of antimicrobial agents. Nevertheless, manufacturers doubt whether there will be a market for new antimicrobial technologies sufficient to enable them to recoup their investment. Health technology assessment (HTA) has a critical role in creating confidence that if valuable technologies can be developed they will be reimbursed at a level that captures their true value. We identify 3 deficiencies of current HTA processes for appraising antimicrobial agents: a methods-centric approach rather than problem-centric approach for dealing with new challenges, a lack of tools for thinking about changing patterns of infection, and the absence of an approach to epidemiological risks. We argue that, to play their role more effectively, HTA agencies need to broaden their methodological tool kit, design and communicate their analysis to a wider set of users, and incorporate long-term policy goals, such as containing resistance, as part of their evaluation criteria alongside immediate health gains.
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