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Background: There is a knowledge gap regarding the effectiveness and utility of various preventive interventions during the COVID-19 pandemic. In this study, we aimed to evaluate the cost-effectiveness of various COVID-19 preventive interventions, including non-medical interventions (NMIs) and vaccination programs, using real-world data across different demographic and socioeconomic contexts worldwide.

Methods: We searched Medline, Cochrane Library, Embase, and Web of Science Core Collection from December 2019 to March 2024. We identified 75 studies which compared 34 COVID-19 preventive interventions. We conducted a network meta-analysis to assess the incremental net benefits (INB) of these interventions from both societal and health care system perspectives. We adjusted purchasing power parity (PPP) and standardised willingness to pay (WTP) to enhance the comparability of cost-effectiveness across different economic levels. We performed sensitivity and subgroup analyses to examine the robustness of the results.

Results: Movement restrictions and expanding testing emerged as the most cost-effective strategies from a societal perspective, with WTP-standardised INB values of USD 21 050 and USD 11 144. In contrast, combinations of NMIs with vaccination were less cost-effective, particularly in high-income regions. From a health care system perspective, vaccination plus distancing and test, trace, and isolate strategy were highly cost-effective, while masking requirements were less economically viable. The effectiveness of interventions varied significantly across different economic contexts, underlining the necessity for region-specific strategies. Conclusions: In this study, we highlight significant variations in the cost-effectiveness of COVID-19 preventive interventions. Tailoring strategies to specific regional economic and infrastructural conditions is crucial. Continuous evaluation and adaptation of these strategies are essential for effective management of ongoing and future public health threats.

Registration: PROSPERO: CRD42023385169.

Several literature review studies have been conducted on cost-effectiveness threshold values. However, only a few are systematic literature reviews, and most did not investigate the different methods, especially in-depth reviews of directly eliciting WTP per QALY. Our study aimed to 1) describe the different direct approach methods to elicit WTP/QALY; 2) investigate factors that contribute the most to the level of WTP/QALY value; and 3) investigate the relation between the value of WTP/QALY and GDP per capita and give some recommendations on feasible methods for eliciting WTP/QALY in low- and middle-income countries (LMICs). A systematic review concerning select studies estimating WTP/QALY from a direct approach was carried out in seven databases, with a cut off date of 03/2022. The conversion of monetary values into 2021 international dollars (i$) was performed via CPI and PPP indexes. The influential factors were evaluated with Bayesian model averaging. Criteria for recommendation for feasible methods in LMICs are made based on empirical evidence from the systematic review and given the resource limitation in LMICs. A total of 12,196 records were identified; 64 articles were included for full-text review. The WTP/QALY method and values varied widely across countries with a median WTP/QALY value of i$16,647.6 and WTP/QALY per GDP per capita of 0.53. A total of 11 factors were most influential, in which the discrete-choice experiment method had a posterior probability of 100%. Methods for deriving WTP/QALY vary largely across studies. Eleven influential factors contribute most to the level of values of WTP/QALY, in which the discrete-choice experiment method was the greatest affected. We also found that in most countries, values for WTP/QALY were below 1 x GDP per capita. Some important principles are addressed related to what LMICs may be concerned with when conducting studies to estimate WTP/QALY.

OBJECTIVE: This study was conducted with the objective of exploring the usage of health-related quality of life (HRQOL) outcomes and willingness of health technology assessment (HTA) and public health stakeholders to use the EQ-5D-5L instrument in healthcare decision-making processes in Vietnam.

METHOD: In this qualitative study, 11 interviews were held with key stakeholders involved in healthcare decision-making for HTA between June 2021 and June 2022. The interviewees included members of the Vietnamese pharmacoeconomic council and public-health professionals from a diverse array of regions of Vietnam. The data collection involved obtaining verbal consent, warm-up discussions and interviews conducted via Zoom, with subsequent verification by interviewees. The analysis employed a theoretical thematic approach, adopting a deductive methodology to identify and analyse underlying ideas and meanings within the empirical data.

RESULTS: This study highlights the general importance and viability of HRQOL measures, and more particularly the EQ-5D-5L instrument, in healthcare decision-making in Vietnam. Challenges have been identified, including insufficient recognition, interpretation, standardisation and educational initiatives relating to HRQOL measurements. This study advocates for official training programmes on HRQOL measurements, guidelines for the application of the EQ-5D-5L and an open HRQOL database in Vietnam. Concerns regarding validity and outcome variation in HRQOL measurements underline the necessity for continuous psychometric properties assessments and regular updates to national HRQOL data in the Vietnamese context.

CONCLUSION: HRQOL outcomes are important, and Vietnamese stakeholders express a readiness to employ the EQ-5D-5L in healthcare decision-making, especially HTA. Nevertheless, HRQOL measurements, including the EQ-5D-5L, are currently inadequately used in Vietnam, and further efforts are required to improve utilisation.

Background: This study aimed to assess the cost-effectiveness of durvalumab as a treatment option for patients with inoperable stage III non-small cell lung cancer (NSCLC) from healthcare and partial societal perspectives in Vietnam.

Method: A lifetime partitioned survival model was used to evaluate the costs and quality-adjusted life years (QALYs) associated with consolidation durvalumab in comparison with the standard of care alone. Local costs and utilities were incorporated into the model. In the base-case analysis, no discount was applied to the acquisition cost of durvalumab. Scenario-based, one-way and probabilistic-sensitivity analyses were conducted.

Results: The base-case analysis revealed that the intervention resulted in an increase of 1.38 life years or 1.08 QALYs for patients, but the intervention was not deemed cost-effective from either perspective in the base-case analysis. However, with a 70% reduction in the durvalumab acquisition cost, the intervention was observed to be cost-effective when evaluated from a healthcare perspective and when examining the undiscounted results from a partial societal standpoint.

Conclusion: This study provides evidence regarding the cost-effectiveness of durvalumab for the treatment of inoperable stage III NSCLC in Vietnam for various scenarios. The intervention was not cost-effective at full acquisition cost, but it is important to acknowledge that cost-effectiveness arguments alone cannot solely guide decision-makers in Vietnam; other criteria, such as budget impact and ethical concerns, are crucial factors to consider in decision-making processes.

Background: The SF-6D index can be used to calculate quality-adjusted life years in economic evaluations, which is required by reimbursement agencies and national advisory bodies, including the Swedish ones. However, despite that SF-36 has been largely applied among patients undergoing bariatric surgery, almost no study has accessed the short form six-dimensions (SF-6D) after bariatric surgery.

Aim: To establish normative values for the SF-6D index among patients undergoing bariatric surgery.

Materials and Methods: All patients who received bariatric surgery in Sweden between 2011–01-01 and 2019–03-31 were obtained from the Scandinavian Obesity Surgery Registry (SOReg). Information includes patients’ sociodemographic characteristics, details regarding the procedure, and postsurgical conditions. The SF-36 is applied at baseline and at follow-up years 1, 2, and 5. The multiple sequential imputation method was applied to handle missingness on SF-6D items. Based on the UK tariff, the SF-6D preference scores were calculated. The normative values for the mean (SD) SF-6D index were reported by timepoint and surgical complications for men and women, respectively. Multivariate analyses were applied to investigate how the SF-6D index is associated with timepoint, controlling for age, sex, BMI, and comorbidities in a stepwise manner.

Results: The SF-6D index increased at 1 year relative to baseline and was roughly maintained at the same level at 2 years. The normative value of the SF-6D index can be used in economic evaluations for bariatric surgery. 

Background: Economic evidence for comparing low fraction with ultra-hypo fractionated (UHF) radiation therapy in the treatment of intermediate-to-high-risk prostate cancer (PC) is lacking, especially in Europe. This study presents an economic evaluation performed alongside an ongoing clinical trial.

Aim: To investigate up to 6 years’ follow-up whether conventional fractionation (CF, 78.0 Gy in 39 fractions, 5 days per week for 8 weeks) is more cost-effective than UHF (42.7 Gy in 7 fractions, 3 days per week for 2.5 weeks inclusive of 2 weekends) radiotherapy in treatment for patients with intermediate-to-high-risk PC.

Method: HYPO-RT-PC trial is an open-label, randomized, multicenter (10 in Sweden; 2 in Denmark) phase-3 trial. Patients from Sweden (CF 434; UHF 445) were included in this study. The trial database was linked to the National Patient Registry (NPR). Costs for inpatient/non-primary outpatient care for each episode were retrieved. For calculating Quality-adjusted life years (QALYs), the EORTC QLQ-C30 questionnaire was mapped to the EQ-5D-3L index. Multivariable regression analyses were used to compare the difference in costs and QALYs, adjusting for age and baseline costs, and health status. The confidence interval for the difference in costs, QALYs and incremental cost-effectiveness ratio effectiveness ratio (ICER) was estimated by the bootstrap percentile method.

Results: No significant differences were found in ICER between the two arms after 6 years of follow-up.

Conclusion: The current study did not support that the ultra-hypo-fractionated treatment was more cost-effective than the conventional fraction treatment up to the sixth year of the trial.

BACKGROUND: Obesity Problem Scale (OP) is a widely applied instrument for obesity, however currently calculation of health utility based on OP is not feasible as it is not a preference-based measure. Using data from the Scandinavian Obesity Surgery Registry (SOReg), we sought to develop a mapping algorithm to estimate SF-6D utility from OP. Furthermore, to test whether the mapping algorithm is robust to the effect of surgery.

METHOD: The source data SOReg (n = 36 706) contains both OP and SF-36, collected at pre-surgery and at 1, 2 and 5 years post-surgery. The Ordinary Least Square (OLS), beta-regression and Tobit regression were used to predict the SF-6D utility for different time points respectively. Besides the main effect model, different combinations of patient characteristics (age, sex, Body Mass Index, obesity-related comorbidities) were tested. Both internal validation (split-sample validation) and validation with testing the mapping algorithm on a dataset from other time points were carried out. A multi-stage model selection process was used, accessing model consistency, parsimony, goodness-of-fit and predictive accuracy. Models with the best performance were selected as the final mapping algorithms.

RESULTS: The final mapping algorithms were based on OP summary score using OLS models, for pre- and post-surgery respectively. Mapping algorithms with different combinations of patients' characteristics were presented, to satisfy the user with a different need.

CONCLUSION: This study makes available algorithms enabling crosswalk from the Obesity Problem Scale to the SF-6D utility. Different mapping algorithms are recommended for the mapping of pre- and post-operative data.

Purpose: To investigate whether the quality-adjusted life years (QALYs) of the patients who underwent bariatric surgery could be predicted using their baseline information.

Materials and Methods: All patients who received bariatric surgery in Sweden between January 1, 2011 and March 31, 2019 were obtained from the Scandinavian Obesity Surgery Registry (SOReg). Baseline information included patients' sociodemographic characteristics, details regarding the procedure, and postsurgical conditions. QALYs were assessed by the SF-6D at follow-up years 1 and 2. The general and regularized linear regression models were used to predict postoperative QALYs.

Results: All regression models demonstrated satisfactory and comparable performance in predicting QALYs at follow-up year 1, with R2 and relative root mean squared error (RRMSE) values of about 0.57 and 9.6%, respectively. The performance of the general linear regression model increased with the number of variables; however, the improvement was ignorable when the number of variables was more than 30 and 50 for follow-up years 1 and 2, respectively. Although minor L1 and L2 regularization provided better prediction ability, the improvement was negligible when the number of variables was more than 20. All the models showed poorer performance for predicting QALYs at follow-up year 2.

Conclusions: Patient characteristics before bariatric surgery including health related quality of life, age, sex, BMI, postoperative complications within six weeks, and smoking status, may be adequate in predicting their postoperative QALYs after one year. Understanding these factors can help identify individuals who require more personalized and intensive support before, during, and after surgery. 

The aim of the research is to assess the benefit–harm of superabsorbent polymers wound dressings based on polyacrylate polymers (SAPs) compared with standard of care (SoC) dressing mix for patients with moderate-to-highly exuding hard-to-heal leg ulcers. The SoC dressings mix was composed of other superabsorbents in 29% of cases, antimicrobials 26%, foams 20%, alginates 5%, and other dressings 19% weighted according to their frequency. We have used the decision-analytic modeling method, Markov process, as an adequate analytical solution for medical prognosis. We have combined the systematic literature search to identify the most relevant inputs for the analysis, with available patient-level clinical data concerning benefits of superabsorbent to generate a robust prediction of patient-relevant outcomes, including healing rates and health-related quality of life. Besides, we have qualitatively described adverse events associated with those treatments. Our research indicates that SAPs when compared with SoC dressing mix in a patient with moderate-to-highly excluding leg ulcers are leading to an improved healing rate with an absolute risk difference of 2.20% in 6 months and a relative risk of 1.07 in favor of SAP dressings. The attributable fraction among those exposed to SAP dressings of 6.6%, meaning that 6.6% of the healed ulcers could be attributed to having had the SAP dressing treatment instead of the SoC dressing treatment. Besides, SAP dressings lead to improved quality of life measured as incremental quality-adjusted life weeks (QALWs) of 0.13 QALWs.

Background: The study aims to elicit a value set based on the EQ-VT for the EQ-5D-5L that can be used to support decision-making in Sweden.

Methods: Participants were recruited from the general population based on age, sex and urban/rural area quota sampling from five regions across Sweden. In total, 785 interviews were conducted from February 2020 to April 2021 using the EQVT 2.1 protocol, and both composite time trade-off (c-TTO) and discrete choice experiments (DCE) were used to elicit health preferences. A variety of models have been tested for the c-TTO data (generalized least square, Tobit, heteroskedastic models) and DCE data (conditional logit model), as well as the combined c-TTO and DCE data (hybrid modelling). Model selection was based on theoretical considerations, logical consistency of the parameter estimates, and significance of the parameters (p = 0.05). Model goodness-of-fit was assessed by AIC and BIC, and prediction accuracy was assessed in terms of mean absolute error. The predictions for the EQ-5D-5L health states between models were compared using scatterplots.

Results: The preferred model for generating the value set was the heteroskedastic model based on the c-TTO data, with the health utilities ranging from -0.31 for the worst (55,555) to 1 for the best (11111) EQ-5D-5L states.

Conclusion: This is the first c-TTO-based social value set for the EQ-5D-5L in Sweden. It can be used to support the health utility estimation in economic evaluations for reimbursement decision making in Sweden.