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Structured expert elicitation (SEE) is a method of formally collecting expert opinions and beliefs using a statistical framework that can be used to generate qualitative data for health technology assessment (HTA). SEE is a particularly useful strategy for rare diseases and innovative technologies, where clinical trial data can be subject to additional uncertainty.
Methods
To investigate how SEE evidence has been used in HTA submissions for rare diseases, a targeted literature search was conducted to identify relevant submissions to the National Institute for Health and Care Excellence (NICE) in the UK via the highly specialized technology (HST) pathway. HST reports were screened to ensure that the company submission documents were publicly available and that details of any SEE studies were included. Fields of extraction included the methods used by SEE, the value drivers that SEE data justified, and the consideration of such evidence by the NICE decision-making committee in the final appraisal document (FAD).
Results
All 27 submissions included in the final analysis leveraged SEE; eight submissions used two SEE methods, and 11 submissions used three methods. The most popular method was semi-structured interviews (81%), followed by surveys (59%), advisory boards (33%), and Delphi panels (26%). The majority of SEE evidence supported core value elements such as quality-adjusted life years (81%). However, SEE evidence was also used to support innovative value elements including family spillover (59%) and productivity (29%). Expert evidence was assessed in the majority of FADs but was accepted mostly when supporting core value elements.
Conclusions
Commonalities in submissions that successfully leveraged SEE to support holistic value elements included providing clear justification for why the data could not be sourced elsewhere, conducting multiple formats of expert engagement, recruiting large samples of experts, and including a detailed overview of the SEE study design. Manufacturers should consider these critical success factors when including SEE in evidence generation strategies.
Glaucoma is a leading cause of blindness. Ocular hypertension (OHT) is a key risk factor modifiable by regular monitoring and treatment. Population aging leads to rapid rise of OHT patients, and thus overburdens the UK healthcare system, but innovative technology may provide a solution. We assessed the cost effectiveness of making treatment decisions based on a validated risk prediction (RP) tool.
Methods
A discrete event simulation model was constructed to compare the cost effectiveness of an alternative care pathway in which the treatment decision was guided by a validated RP tool in secondary care against decision-making based on standard care (SC). Individual patient sampling was used. Patients diagnosed with OHT and with an intraocular pressure of at least 24 mmHg entered the model with a set of predefined individual characteristics related to their risk of conversion to glaucoma. These characteristics were retrieved from electronic medical records (n=5,740). Different stages of glaucoma were modeled following conversion to glaucoma.
Results
Almost all (99%) patients were treated using the RP strategy, and less than half (47%) of the patients were treated using the SC strategy. The RP strategy produced higher cost but also higher quality-adjusted life years (QALYs) than the SC strategy. The RP strategy was cost effective compared with the SC strategy in the base case analysis, with an incremental cost-effectiveness ratio value of GBP11,522 (USD15,843). The RP strategy had a 96 percent probability of being cost effective under a GBP20,000 (USD27,500) per QALY threshold.
Conclusions
The use of an RP tool for the management of patients with OHT is likely to be cost effective. However, the generalizability of the result might be limited due to the high risk nature of this cohort and the specific RP threshold used in the study.
How the role of health technology assessment (HTA) agencies in relation to medical technologies (MedTech) is framed in the literature reflects and influences governance, shaping perceptions and guiding decisions. We identify different academic discourses to advance MedTech policy debates, in light of several factors potentially influencing this role. This is the first time that discourse on the role of HTA agencies in relation to MedTech has been reviewed. We conducted a comprehensive search, screened for eligibility, and synthesised findings using discourse analysis. 119 articles were included, from which 5 discourses were constructed. The first discourse describes the HTA agency as an independent evaluator of appropriate evidence for all health technologies. The second discourse explicitly categorises MedTech as separate from pharmaceuticals and expands the role of evaluator to include encouraging evidence generation for MedTech. The third discourse moves away from the role of independent evaluator and describes the HTA agency as a convenor of all stakeholder perspectives, using an experimental approach. The fourth and fifth discourses critically reflect on the role of HTA agencies, the fourth on their level of normative reflection and the fifth on their level of nuanced, clinical expertise. We conclude with recommendations for policy and research.
Quality of life is crucial for assessing the impact of health and social care interventions, particularly in economically vulnerable contexts. The Dara Institute, a Brazilian non-governmental organization, uses an integrated approach to combat poverty. This study applied the EQ-HWB-S instrument to evaluate the quality of life of families served by the Institute by analyzing its relationship with income before and after intervention.
Methods
Using a hybrid study design, including cross-sectional and cohort analyses, the EQ-HWB-S instrument was applied to 100 families served by the Dara Institute in Brazil before and after the intervention, enabling an analysis of wellbeing and quality of life data based on income. Microsoft Excel and Python were used for data tabulation and statistical analysis, respectively.
Results
A total of 100 individuals, each representing their family served by the Institute, were included. According to the Brazil Criteria (socioeconomic status measurement score), 41 were classified as category C and 58 as D/E. In EQ-5D-3L, category C scored 0.787 (interquartile range [IQR] 0.692–0.801) and D/E scored 0.787 (IQR 0.695–0.801). In EQ-5D-5L, category C scored 0.762 (IQR 0.687–0.817) and D/E scored 0.754 (IQR 0.733–0.817). In EQ-HWB-S, category C scored 0.605 (IQR 0.457–0.865) and D/E scored 0.594 (IQR 0.449–0.743).
Conclusions
Although income differences influenced EQ-5D-3L, EQ-5D-5L, and EQ-HWB scores, interquartile ranges suggested a moderate impact on quality of life outcomes measured by EQ-HWB-S. Lower-income individuals (D/E) had slightly lower EQ-HWB-S scores than those in category C, reflecting additional challenges despite intervention. The EQ-HWB-S demonstrated potential for evaluating quality of life and wellbeing in at-risk populations.
Judicialization processes are a tool used by the population to access benefits not included in health coverage. New technologies present challenges in terms of financing health systems. Uruguay has suffered a substantial increase in the last decade in writs of protection and health costs associated with them. Different actions have been taken in order to reduce judicialization throughout these years.
Methods
We performed a descriptive study of the evolution of the number of writs of protection in Uruguay in the period 2012 to 2023. The data were obtained by analyzing requests for access to public information available on the web, requested by different stakeholders. Types of technologies and their frequency were analyzed. The costs per year were obtained from the national government’s accounts. The strategies implemented in each period were obtained from regulations available on the website of the Ministry of Health (MoH).
Results
Writs of protection have substantially increased, with a total of 124 in 2012 and increasing to 1,750 in 2023. The MoH’s spending on writs of protection rose from two percent in 2012 to 59 percent of its overall spending in 2023. Different measures taken by the MoH in the period 2014 to 2017 were introduced with the intention of reducing judicialization; examples include advice to lawyers from experts in health technology assessment, abbreviated administrative processes, and interinstitutional committees for price negotiation. Also, coverage of the most demanded technologies was a strategy used in most recent years.
Conclusions
In Uruguay, writs of protection continue to increase constantly. The different strategies implemented have not achieved a real impact in terms of quantity and costs associated with writs of protection. The recent creation of the Health Technology Agency may contribute to reducing the impact of judicialization on the health system.
Equity-informed economic evaluations require the baseline distribution of health across equity subgroups upon which the equity impact of interventions is evaluated. The distribution of health status, measured as quality-adjusted life expectancy (QALE), by socioeconomic status (SES) is unknown for Australia. We aimed to estimate QALE across SES groups, stratified by sex and year of age, for the Australian population.
Methods
SES was measured with the Socio-Economic Indexes for Areas Index of Relative Socio-Economic Disadvantage, from quintile one (Q1) most socioeconomically disadvantaged, to quintile five (Q5) least disadvantaged, and remoteness categories from the Australian Statistical Geography Standard: major cities, inner regional, and outer regional to very remote. Life expectancy (LE) was estimated from 2022 Australian Bureau of Statistics mortality data. Mean short form (SF-6D) utility by age, sex, and SES was estimated from the Household, Income and Labour Dynamics in Australia Survey (2022) using linear regression. Person-years were multiplied by utility to determine the QALE for each sex-SES group.
Results
At birth, LE for all individuals in Q1 was 78.7 years, compared with 86.3 years for those in Q5. Incorporating health-related quality of life amplified disparities, with those in Q1 experiencing a QALE of 43.9 (95% confidence interval [CI]: 42.6, 45.2) years, compared with 55.6 (95% CI: 54.1, 57.1) years for Q5, a 27 percent relative difference. There were modest disparities by remoteness. Individuals in major cities had a LE of 83.1 years and a QALE of 50.8 (95% CI: 49.8, 51.7) years, while those in outer regional to remote areas had a LE of 80.5 years and a QALE of 47.0 (95% CI: 44.2, 49.7) years.
Conclusions
There is clear disparity in QALE by SES in Australia, whereby both the quantity and quality of life decrease with increasing socioeconomic disadvantage and geographical remoteness. These findings highlight the need for targeted interventions to address health inequalities. These detailed QALE estimates can be applied to future equity-informed economic evaluations.
The health of migrants with type 2 diabetes has become a public health concern. Minority populations, including migrants, are often considered ‘hard-to-reach groups’ in clinical research, as researchers face challenges in engaging, accessing and retaining participants. Previous reviews have focused on either recruitment or retention, highlighting the need to gather experiences to obtain a more comprehensive picture for improving participation in research.
Aim:
To share lessons learned about the challenges of recruiting and implementing an intervention study including migrants with type 2 diabetes.
Methods:
This was a descriptive study, where researchers recorded experiences in reflective diaries and held discussions with the multi-professional teams involved. Data were analysed using Pawson’s conceptual framework, evaluating four dimensions of context: individual, interpersonal, institutional and infrastructural.
Findings:
The individual context concerns the time-consuming recruitment process since about half of the prospective participants did not want to participate, often due to illness, lack of time, the need to work, or having travelled abroad. In the interpersonal context, the main challenge was involving several professional groups; the greater the involvement, the less flexibility there was to meet expectations. The priorities in the institutional context were to provide care, with efficiency and productivity taking precedence over research. The infrastructural context was crucial due to a lack of staff available to support recruitment, the healthcare system’s burden caused by the pandemic, and the impact of laws and regulations in healthcare.
Conclusions:
Recruiting and implementing clinical research studies among migrant populations is complex. Factors across all contextual levels play a role, but the main challenges are within the institutional and infrastructural contexts. Changes in infrastructure influence institutional priorities, particularly with an already strained staff situation in primary healthcare. While political and social changes are difficult to alter, fostering positive attitudes towards research at the individual and interpersonal levels is important.
The aim of this study is to investigate family physicians’ approaches to hoarseness (dysphonia), clinical decision-making, patients’ perceptions, and structural barriers in the healthcare system using qualitative methods.
Methods:
Qualitative design was used. Research was reported in line with COREQ (32 items) and EQUATOR (SRQR) guidelines. Semi-structured telephone/internet interviews were conducted with 17 family physicians working primary care in Türkiye. Participants purposively sampled interviews were audio-recorded, transcribed, coded using thematic analysis, and developed themes.
Results:
The analysis revealed four main themes: clinical assessment and differential diagnosis, referral criteria and specialist referrals, patient perception and knowledge level, health system and structural barriers. Demographic analysis determined that veteran doctors were more sensitive to malignancy, junior doctors highlighted systemic deficits, female doctors highlighted patient behavior, while doctors who practiced in rural areas highlighted structural issues.
Conclusion:
Family physicians’ handling of hoarseness is not only dependent on clinical data but also on patient opinion and the health system’s conditions. For productive primary care management of hoarseness, it is recommended to (i) design guidelines and training for family physicians, (ii) increase patient education on voice hygiene and voice health, and (iii) establish health policies enhancing specialist accessibility.
The Dutch Children’s Food Literacy Questionnaire (DCFLQ) was developed and validated to assess food literacy among children aged 8 to 12 years. The DCFLQ is structured around farm-to-fork principles, including questions on food production, distribution, consumption, waste, and sustainability.
Design
After initial item pool creation, the DCFLQ was developed in collaboration with experts and children. The validation process included assessments of reliability and construct validity, as well as a test–retest evaluation in a subgroup of children.
Setting
The expert panel consisted of domain-related researchers, a pedagogue, a paediatrician, dietitians, and a primary school teacher. Children were recruited via primary schools and a sports club.
Participants
A total of 11 experts and 27 children participated in the development process; 608 children participated in the validation process.
Results
The final questionnaire comprised 29 questions and demonstrated good internal consistency (Cronbach’s α = 0.80) and test-retest reliability (ICC = 0.81). DCFLQ scores positively correlated with age, indicating that food literacy is higher in older children.
Conclusions
The DCFLQ is a valuable tool for assessing the effectiveness of nutrition intervention programs and monitoring Dutch children’s food literacy over time. International expert consensus on developing food literacy instruments is needed, as diversity in assessment tools impedes cross-cultural comparisons.
Autism spectrum disorder (ASD) has been frequently associated with an increased risk of obesity and metabolic disorders, including dyslipidaemia. However, research on lipid profiles and dietary intake in this population remains scarce. This cross-sectional study aimed to evaluate dietary patterns and their association with serum lipid profile in children and adolescents diagnosed with ASD. The study included 233 individuals from 2 to under 19 years assisted by the public health system in Pelotas, Brazil. Fasting blood samples were collected and analysed for serum concentrations of total cholesterol, HDL-cholesterol, LDL-cholesterol and TAG. Dietary intake was assessed using three non-consecutive 24-h food recalls (two weekdays and one weekend day). Dietary patterns were derived through reduced rank regression, using food group intakes as predictors and fibre density, energy density, carbohydrate and saturated fat intakes as response variables. Standardised pattern scores were calculated to assess individual adherence, and linear regression models, adjusted for potential confounders, were applied to examine the association between the dietary pattern scores and lipid profiles. Elevated TAG concentrations were observed in 48·9 % of the participants. Four dietary patterns were identified: Healthy, sugar and starches, mixed and dairy and biscuits. After adjustment, no significant associations were observed between dietary pattern scores and lipid profile. These findings underscore the complex nature of lipid metabolism in individuals with ASD and suggest that dietary patterns alone may not fully explain variations in lipid profiles. This reinforces the need for further research and development of appropriate nutritional interventions for this population.
Since 2016, the emergence of continuous glucose monitors and closed-loop systems has significantly changed the way diabetes is managed. They have reduced the number of finger pricks and optimized insulin therapy by automatically adjusting insulin doses. In this evolving context, the Haute Autorité de santé (HAS) reassessed the national coverage conditions of three categories of medical devices for self-monitoring and automated insulin therapy management.
Methods
The assessment method was based on analysis of data from: (i) a systematic review of the scientific literature; (ii) proposals from concerned stakeholders (patient associations, professional organizations, manufacturers, service providers, public health institutions); and (iii) information from international health technology assessment agencies. The HAS assessment report and the new proposed reimbursement nomenclature were validated in July 2024 by the HAS committee, which appraises medical devices with respect to their reimbursement by the French health insurance scheme.
Results
The main changes to the coverage conditions included harmonized and extended indications for each category of device, which involved removing the previous requirement of six months of insulin pump use and the metabolic criterion (hemoglobin A1c level). The prescribing conditions were also updated, allowing prescriptions from public or private hospital or non-hospital based centers. Concerning relative clinical effectiveness, HAS concluded that there was no clinical added benefit between the devices in each category. The evaluation of specific clinical data for each device carried out by HAS remains necessary before considering coverage in France, and post-registration studies are still required for closed-loop systems.
Conclusions
The new HAS coverage recommendations for the three categories of connected medical devices for managing diabetes offer greater clarity and improve patient care. More patients will benefit from these systems due to the extended indications. Moreover, the post-registration studies required by HAS for each closed-loop system will allow the long-term evaluation of these systems in France.
Obesity is increasing at an alarming rate in Brazil. Beyond its strong association with chronic diseases, obesity imposes a substantial burden on the Brazilian Unified Health System (SUS). The incorporation of new treatments, including interventions for weight management, requires rigorous assessment of efficacy, safety, and cost effectiveness by the National Committee for Health Technology Incorporation (CONITEC).
Methods
This study aimed to review decisions regarding the incorporation of health technologies for obesity treatment into the SUS. A review of CONITEC recommendations was performed, utilizing reports publicly accessible on its official website. The analysis focused on the evaluation of pharmacological and procedural technologies for obesity treatment in Brazil, examining technical and economic impact assessment reports.
Results
Between 2012 and 2022, four technologies were evaluated for obesity treatment: sibutramine, orlistat, bariatric surgery via video laparoscopy (all requested by the Ministry of Health and medical societies), and liraglutide 3 mg (requested by a pharmaceutical company). Among these, only bariatric surgery was incorporated into the SUS in 2017. Sibutramine and orlistat were rejected due to limited efficacy and unfavorable safety profiles. The evaluation of liraglutide, aimed at patients with a body mass index above 35 kg/m² and cardiovascular risk, demonstrated efficacy, but was declined due to its high cost and significant economic impact on the SUS.
Conclusions
The rejection of technologies by the SUS highlighted safety, efficacy, and cost concerns. These decisions aligned with the SUS priority to remain economically sustainable while promoting multidisciplinary approaches to obesity management, which are actively offered within the SUS. Given the importance of the condition for public health, it is considered that the topic has been under-prioritized in the incorporation process within the SUS.
RSV is a leading cause of lower respiratory tract illness (LRTI) among infants in Chile. Nirsevimab was recommended for infants in 2023 to address the burden of RSV-LRTI. The cost effectiveness of maternal RSVpreF with complementary nirsevimab for infants, versus nirsevimab alone, for prevention of RSV-LRTI among infants in Chile was evaluated.
Methods
A cohort model to depict clinical and economic outcomes associated with RSV-LRTI for infants from birth to one year of age and lifetime consequences of RSV-related death. Results were based on disease and case-fatality rates, effectiveness, utility and disease-related disutility, and direct and indirect costs. The price of nirsevimab was USD260.00. The RSVpreF price was based on the economically justifiable value (EJV) of RSVpreF versus no intervention at a willingness-to-pay of one times the gross domestic product per capita. Uptake was set at 90 percent. In the complementary strategy, nirsevimab was limited to infants born to unvaccinated mothers. The healthcare system and societal perspectives were used, with costs in USD for 2023 and an annual discount rate of 3 percent.
Results
With no intervention, 10,457 patients with RSV were hospitalized (RSV-H) and 39,460 attended the emergency department (RSV-ED) in the model, with corresponding total direct and indirect costs of USD21.0 million. Nirsevimab alone would prevent 52 percent (n=5,418) of RSV-H cases and 39 percent (n=15,317) of RSV-ED cases, at a total cost of USD58.8 million. Maternal RSVpreF with complementary nirsevimab would prevent 54 percent (n=5,635) of RSV-H and 34 percent (n=13,423) of RSV-ED cases. Using an EJV of USD94.34 per dose of RSVpreF, total costs of the complementary approach were lower by USD24.1 million, with an additional nine quality-adjusted life years gained. RSVpreF with complementary nirsevimab was cost saving, compared with nirsevimab alone.
Conclusions
Use of RSVpreF with complementary nirsevimab would achieve a similar public health impact as nirsevimab alone and would yield substantial cost savings in Chile.
Health technology assessment (HTA) uses explicit methods to determine the value of a health technology at different stages of its life cycle. Collaboration between HTA bodies and academia is crucial for advancing methodologies and their use in practice. However, regulatory misalignment and resource constraints hinder effective partnerships. This study provided ways to facilitate structured dialogue between HTA bodies and academia.
Methods
A two-phase approach was used. Phase one involved a rapid literature review and snowballing to identify frameworks for HTA–academia collaborations. Phase two consisted of an online survey with targeted dissemination to HTA bodies across Europe and beyond through social media (35 were invited). The survey questions were informed by a rapid review and addressed collaboration types, incentives, challenges, regulatory frameworks, and HTA regulation impact. Key areas included methodological development, training, and structured partnerships. Data were analyzed in Excel using descriptive statistics to identify patterns not only across Europe, but also within distinct European areas. Results were categorized by Europe as a whole and individual countries.
Results
We obtained responses from 17 HTA bodies of which 16 maintained academic collaborations, primarily with universities at a national level. Common structures included service contracts (n=11) and consulting agreements (n=9), enabling short-term flexibility. Current collaborations focused on assessing scientific data (n=12) and specific health technologies (n=11). Barriers included diverse research paradigms (n=5), organizational resistance to change (n=5), and liability concerns (n=5). Respondents emphasized the need for guidelines and capacity building initiatives to overcome these challenges. Methodological innovation (n=14) and capacity building and training (n=13) emerged as priority objectives for collaboration. Future collaborations are expected (n=9) to align with the European HTA Regulation.
Conclusions
Strengthening HTA–academia collaborations requires structured and sustainable infrastructures addressing regulatory barriers, training needs, and cultural differences across countries. Clear guidelines, strategic academic partnership selection, and incentives can enhance collaboration. Implementing these findings will contribute to improved and updated methodologies and evidence-based decision-making in HTA across Europe and beyond.
Medications for chronic degenerative and rare diseases are provided by the Brazilian Unified Health System (SUS) after health technology assessment analysis conducted by the National Committee for Health Technology Incorporation (CONITEC). Access to these medicines at an outpatient level occurs through the Specialized Component of Pharmaceutical Assistance (CEAF). This study analyzed the number of people who had access to medicines included in the CEAF from 2012 to 2023.
Methods
Administrative and national dispensing data were extracted from the Health Intelligence Open Situation Platform (SABEIS), covering the period from January 2012 to December 2023, with data updated in August 2024. SABEIS consolidates open data from Ambulatory Information System (SIA/SUS), providing anonymized, individualized data. The annual number of users receiving medications from the CEAF was evaluated over this period, starting from the establishment of CONITEC in 2012.
Results
Findings indicated a continuous growth in CEAF users between 2012 and 2023, with a total of 10,969,433 users and 84 different clinical conditions. The number of users grew from 1,991,828 in 2012 to 3,783,957 in 2023, reflecting an approximate 90 percent increase over 12 years and an average annual increase of 163,000 new users. During 2019 and 2020, there was stabilization, with only 11,332 new users, potentially due to the impact of COVID-19 on distribution and access. From 2021 onward, growth accelerated, with annual additions of 200,000 to 350,000 users, suggesting a recovery and expansion in treatment coverage.
Conclusions
The data highlighted an increasing demand for specialized treatments and the impact of CONITEC’s decisions on expanding access to high-cost treatments for chronic-degenerative and rare diseases in the Brazilian SUS.
Health judicialization is an escalating issue, especially in rare diseases where high treatment costs and complex management often limit treatment access. In Brazil, the National Council of Justice created support centers to provide technical scientific reports (TRs) based on health technology assessment (HTA) for evaluating judicialized health technologies. This study aimed to describe the frequency and characteristics of TRs related to rare diseases within this framework.
Methods
This descriptive cross-sectional study was developed at the Center of HTA, Hospital Sírio-Libanês, Sao Paulo, Brazil. Data were collected from the National System of Technical Reports, which compiles evidence-based scientific information to support judicial decision-making. We included TRs submitted to the platform between 2019 and 2024. Extracted data were categorized based on the most frequent rare diseases estimated by the Orphanet database list of 2024, identified according to the International Classification of Diseases, 11th Revision coding manual. Additionally, the requested health technologies were identified, and quantitative analyses were performed to identify distribution patterns.
Results
A total of 235,546 TRs were analyzed. The most prevalent judicialized rare diseases and their corresponding technologies were as follows: motor neuron disease (n=501), with 42 percent of requests involving riluzole or tauroursodeoxycholic acid; cystic fibrosis (n=415), with 60 percent of requests for elexacaftor, tezacaftor, and ivacaftor; muscular dystrophy (n=349), with 30 percent of requests for ataluren; Gaucher disease (n=183), with 42 percent of requests for agalsidase alfa; and amyloidosis (n=93), with 58 percent of requests for tafamidis meglumine or daratumumab.
Conclusions
This analysis of TRs related to rare diseases highlighted the need for targeted interventions to improve access for the most prevalent conditions. By identifying the most frequently requested health technologies, this study emphasized the importance of evidence-based decision-making in addressing the challenges posed by rare diseases within the judicial system, particularly the high costs associated with their treatment.
While mobile gaming addiction (MGA) behavior is increasingly prevalent among children and adolescents, the role of specific emotional-behavioral profiles – particularly their latent patterns – in associating with MGA behavior remains poorly understood. This study aimed to examine these associations and age-related variations.
Methods
Data were analyzed from 507,188 participants aged 6–18 years in the Children’s Growth Environment, Lifestyle, and Physical and Mental Health Development Project, conducted in Guangzhou, China, in 2020. Latent class analysis was performed on parent-reported Strengths and Difficulties Questionnaire (SDQ) data to identify subgroups with distinct emotional and behavioral problems. Associations between SDQ dimensions, latent classes, and MGA behavior were examined using logistic regression analysis.
Results
Five latent classes were identified: ‘Low symptom’ (82.2%), ‘Internalizing’ (0.8%), ‘Peer and prosocial issues’ (4.3%), ‘High difficulties’ (5.0%), and ‘Hyperactive’ (7.6%). Compared to the ‘Low symptom’ class, all other latent classes showed significantly higher risks for MGA, with the strongest association observed in the ‘Internalizing’ class (adjusted odds ratio [AOR]: 2.84; 95% confidence interval [95% CI]: 2.67–3.02). Among SDQ subscales, conduct problems presented the highest association (AOR: 2.08; 95% CI: 2.04–2.12), though all SDQ subdimensions were significantly positively correlated with MGA behavior (all p < 0.05). Notably, these associations were consistently stronger in adolescents (aged 13–18 years) than in children (aged 6–12 years).
Conclusions
This study identifies specific SDQ-based risk characteristics for MGA behavior, with adolescents (aged 13–18 years) being the most vulnerable. Future longitudinal studies should verify these associations, and clinicians may prioritize early screening for internalizing and conduct-related difficulties.
Knee osteoarthritis (OA) is a prevalent and debilitating condition with a significant impact on patient quality of life and healthcare costs. Intra-articular glucocorticoid injections (IAGI) are used in Switzerland for conservative management. A systematic literature review identified one existing economic evaluation on this topic globally. Therefore, the aim of this study was to evaluate the cost effectiveness of IAGI in knee OA (relative to standard care) within the Swiss healthcare context.
Methods
A cost-utility analysis was conducted using a healthcare payer perspective. Health outcomes were measured using quality-adjusted life year (QALY) estimates. Clinical outcomes were mapped into a preference-based utility measure. The clinical data showed IAGI only improved pain at one month but not beyond. Only direct costs in 2024 CHF were considered. A time horizon of six months was used to capture differences in costs and outcomes. Given the short-term clinical improvement, only a single IAGI injection was modeled. Both costs and outcomes were discounted at three percent per annum. Both deterministic sensitivity analyses (DSA) and probabilistic sensitivity analyses (PSA) were conducted. The research project was funded by the Swiss Federal Office of Public Health.
Results
The base case incremental cost-effectiveness ratio for IAGI in knee OA was CHF12,456 (USD15,735) per QALY gained. PSA showed a 71.9 percent probability of cost effectiveness at a hypothetical willingness-to-pay (WTP) threshold of CHF50,000 (USD63,164) per QALY gained and 75.0 percent at CHF100,000 (USD126,322). There was a 22.0 percent chance that IAGI is dominated by standard care (i.e., IAGI is more costly and less effective). The DSA identified the key model drivers as IAGI administration costs and changes in health-related quality of life post-treatment.
Conclusions
IAGI for knee OA appeared to be a cost-effective adjunct to standard care under hypothetical thresholds of CHF50,000 (USD63,164) and CHF100,000 (USD126,322) per QALY gained. Incorporating both DSA and PSA allowed for a robust exploration of uncertainties, highlighting critical drivers of cost effectiveness. Future research should refine long-term effectiveness estimates, particularly the impact of IAGI on progression to joint replacement, and evaluate real-world outcomes to ensure optimal resource allocation.
Health technology assessment (HTA) has increasingly shaped public health insurance reimbursement decisions across many countries during the last 10 years. As countries implement and expand their use of HTA in determining recommendations for reimbursement, patient access to new medicines is affected. This study analyzed the impact of HTA, and HTA expansion, on patient access to new medicines across OECD countries.
Methods
New medicines were identified as new active substances approved by the European Medicines Agency, the United States Food and Drug Administration, or Japan’s Pharmaceuticals and Medical Devices Agency and launched globally between 1 January 2014, and 31 December 2023. Public health insurance reimbursement was determined by reviewing HTA recommendations by the appropriate HTA bodies and public reimbursement listings in each country. Patient utilization of new medicines was measured by estimating the number of patients treated with new medicines in each country, on a per capita basis, using sales and volume data adjusted for expected treatment durations.
Results
During the past 10 years, HTA continued to play no official role in public health insurance reimbursement decisions for new medicines in the USA but played an expanding role in other OECD countries. New medicines increasingly launched first in the USA, with patients having access through public health insurance to 85 percent of new medicines in 2023. Patients in other OECD countries were far less likely to access new medicines within a year of first launch, and on average had access through public health insurance to less than a third of new medicines in 2023.
Conclusions
The use of HTA contributes to patient access inequality across countries by limiting and delaying public health insurance reimbursement of new medicines. In the USA, which does not use HTA, patients have access to far more new medicines. Patients in countries where HTA bodies have become gatekeepers of determining which new medicines are cost effective tend to have worse access.