We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Aims: While personality traits are known to influence values, beliefs, and professional preferences, limited research has explored their impact on attitudes toward psychiatry, particularly in Middle Eastern contexts and among non-medical students. Personality traits also influence perceptions of mental illness among individuals, helping to understand the basis of societal mental health stigma. Understanding the relationship between personality traits and attitudes toward psychiatry is crucial for developing educational strategies that support positive perceptions, ultimately enhancing healthcare outcomes for individuals living with mental illnesses.
Methods: This study employed a cross-sectional design to evaluate how personality dimensions correlate with perceptions of psychiatry in a sample of 503 students, including 377 medical and 126 psychology students from three major universities in the United Arab Emirates. Attitudes toward psychiatry were assessed using the Attitudes Towards Psychiatry (ATP-30) scale, and personality traits were evaluated using the Big Five Inventory. Spearman’s rank correlation was employed to analyse the relationships between ATP scores and personality dimensions: extraversion, agreeableness, conscientiousness, emotional stability, and openness to experience.
Results: Significant positive correlations were found between ATP-30 scores and four personality traits: extraversion (r=0.11, p=0.01), agreeableness (r=0.22, p<0.001), conscientiousness (r=0.10, p=0.03), and openness (r=0.28, p<0.001). Emotional stability did not exhibit a significant correlation (r=−0.03, p=0.58). Medical students demonstrated similar patterns, with openness (r=0.26, p<0.001) and agreeableness (r=0.20, p<0.001) being the strongest predictors. Among psychology students, only agreeableness (r=0.21, p=0.02) and openness (r=0.30, p<0.001) showed significant associations.
Conclusion: These findings underscore the influence of personality traits – particularly agreeableness and openness – on attitudes toward psychiatry. They highlight the need for tailored educational approaches to promote positive perceptions of psychiatry, with implications for improving both training outcomes and therapeutic relationships.
The classical water-wave theory often neglects water compressibility effects, assuming acoustic and gravity waves propagate independently due to their disparate spatial and temporal scales. However, nonlinear interactions can couple these wave modes, enabling energy transfer between them. This study adopts a dynamical systems approach to investigate acoustic–gravity wave triads in compressible water flow, employing phase-plane analysis to reveal complex bifurcation structures and identify steady-state resonant configurations. Through this framework, we identify specific parameter conditions that enable complete energy exchange between surface and acoustic modes, with the triad phase (also known as the dynamical phase) playing a crucial role in modulating energy transfer. Further, incorporating spatial dependencies into the triad system reveals additional dynamical effects that depend on the wave velocity and resonance conditions: we observe that travelling-wave solutions emerge, and their stability is governed by the Hamiltonian structure of the system. The phase-plane analysis shows that, for certain velocity regimes, the resonance dynamics remains similar to the spatially independent case, while in other regimes, bifurcations modify the structure of resonant interactions, influencing the efficiency of energy exchange. Additionally, modulated periodic solutions appear, exhibiting changes in wave amplitudes over time and space, with implications for wave-packet stability and energy localisation. These findings enhance the theoretical understanding of acoustic–gravity wave interactions, offering potential applications in geophysical phenomena such as oceanic microseisms.
The purpose of this study was to measure meal quality in representative samples of schoolchildren in three cities located in different Brazilian regions using the Meal and Snack Assessment Quality (MESA) scale and examine association with weight status, socio-demographic characteristics and behavioural variables. This cross-sectional study analysed data on 5612 schoolchildren aged 7–12 years who resided in cities in Southern, Southeastern and Northeastern Brazil. Dietary intake was evaluated using the WebCAAFE questionnaire. Body weight and height were measured to calculate the BMI. Weight status was classified based on age- and sex-specific Z-scores. Meal quality was measured using the MESA scale. Associations of meal quality with weight status and socio-demographic and behavioural variables were investigated using multinomial regression analysis. Schoolchildren in Feira de Santana, São Paulo and Florianópolis had a predominance of healthy (41·8 %), mixed (44·4 %) and unhealthy (42·7 %) meal quality, respectively. There was no association with weight status. Schoolchildren living in Feira de Santana, those who reported weekday dietary intakes, and those with lower physical activity and screen activity scores showed higher meal quality. Schoolchildren aged 10–12 years, those who reported dietary intakes relative to weekend days, and those with higher screen activity scores exhibited lower meal quality.
This study aimed to explore combinations of the Brazilian front-of-package nutrition labelling (FoPNL) (high in added sugar, saturated fat and sodium) and/or three specific food additives with cosmetic functions (colourings, flavourings and non-sugar sweeteners - NSS) in packaged foods and beverages marketed in Brazil. This approach intends to strengthen the identification of ultra-processed food products (UPFP) by consumers through the information available on their labels. A cross-sectional study was carried out using data from the list of ingredients and the nutrition facts panel on labels of processed foods and UPFP available in Brazilian supermarkets between April and July 2017, totalling 8,436 food items assessed, of which 84.0% were UPFP. Of the total, 62.7% of the UPFP would have the FoPNL and 65.1%, 37.9% and 12.9% had flavouring, colouring and NSS, respectively. Combining criteria for the FoPNL with any one of the three cosmetic additives analysed, 45.9% of the UPFP were identified, and when considering the presence of the FoPNL, flavouring, colouring or NSS, the identification increased to 89.9%. Results showed that the current FoPNL in Brazil does not facilitate the identification of UPFP. In this sense, labels that indicate the presence of food additives with cosmetic functions (which are UPFP markers) could be a public health strategy to reduce the consumption of UPFP. Currently, food labelling regulations in Brazil are not aligned with Brazilian Dietary Guidelines recommendations.
We conducted an international survey of stroke physicians to assess practices and attitudes toward cardiac monitoring and early rhythm control. A 20-question survey was completed by 241 clinicians representing 61 countries. The minimum duration of actionable atrial fibrillation varied widely, and more than 90% (223/241) of respondents indicated a willingness to enroll patients in a trial assessing the ideal duration of cardiac monitoring. Only a quarter of respondents (62/241) offered early rhythm control for patients with atrial fibrillation, with the majority (209/241, 87%) expressing an opinion that there was equipoise about the benefit of rhythm control in the post-stroke population.
Toxoplasma gondii non-archetypal strains have distinct virulence profiles and immunological activation in the host when compared with archetypal strains. The present work aims to perform an analysis of the inflammatory profile during acute and early chronic infection by T. gondii atypical strain in an experimental murine model. After euthanasia, blood was collected for the quantification of specific IgG antibodies and their subtypes (IgG1/IgG3) by ELISA; bronchoalveolar lavage (BAL) was realized and immunophenotyping of lymphocytes population was performed at 12- and 30-days post infection (dpi); the levels of IFN-γ, IL-12, IL-10, TNF-α, IL-6, IL-17, nitric oxide and total proteins were determined in the BAL supernatant. Tissue cyst burden was determined in the brain homogenate, and the parasite load in the lungs was assessed by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Infection with the CK4 strain induced a lower brain cyst load similar parasite burden in the lungs, and higher levels of IgG1 and IgG3, when compared to ME49. The group infected with the CK4 strain presented higher levels of systemic IFN-γ, and both infected groups displayed similarly elevated levels of systemic TNF-α, IL-6 and IL-17 at 30 dpi, as well as higher numbers of CD4+ and CD8+ T lymphocytes in the acute stage of infection, followed by higher numbers of central and effector CD4+ T cells. IFN-γ levels in the BAL fluid were significantly higher in animals infected with the CK4 strain in both the acute and early chronic stage of infection, highlighting the involvement of the lung environment.
Mobile-based trading apps have made investing easier than ever before, but this includes enabling access to risky investments that many investors may not be able to trade safely. The UK financial regulator thereby requires Contract for Difference (CFD) trading apps to make disclosures such as, ‘89% of retail investor accounts lose money when trading CFDs with this provider’. However, these disclosures might be counteracted by either their suboptimal implementation, or by other aspects of these apps’ deceptive choice architecture. Therefore, the present study audited choice architecture characteristics of demo-modes of the 14 most-popular CFD trading apps in the UK. A content analysis found for example that 31.6% of risk warnings did not comply with the regulator’s standards, and that only 35.7%% of apps contained risk warnings within the app’s main tabs. A thematic analysis suggested that apps’ educational resources could instil users with the hope of winning, by emphasising practice, strategies and psychological mindset – instead of acknowledging luck as the predominant factor underlying CFD trading profitability. Overall, this study added to previous research highlighting the similarities between certain high-risk investments and gambling, and added to the behavioural public policy literature on deceptive choice architecture.
There is a growing focus on understanding the complexity of dietary patterns and how they relate to health and other factors. Approaches that have not traditionally been applied to characterise dietary patterns, such as latent class analysis and machine learning algorithms, may offer opportunities to characterise dietary patterns in greater depth than previously considered. However, there has not been a formal examination of how this wide range of approaches has been applied to characterise dietary patterns. This scoping review synthesised literature from 2005 to 2022 applying methods not traditionally used to characterise dietary patterns, referred to as novel methods. MEDLINE, CINAHL and Scopus were searched using keywords including latent class analysis, machine learning and least absolute shrinkage and selection operator. Of 5274 records identified, 24 met the inclusion criteria. Twelve of twenty-four articles were published since 2020. Studies were conducted across seventeen countries. Nine studies used approaches with applications in machine learning, such as classification models, neural networks and probabilistic graphical models, to identify dietary patterns. The remaining studies applied methods such as latent class analysis, mutual information and treelet transform. Fourteen studies assessed associations between dietary patterns characterised using novel methods and health outcomes, including cancer, cardiovascular disease and asthma. There was wide variation in the methods applied to characterise dietary patterns and in how these methods were described. The extension of reporting guidelines and quality appraisal tools relevant to nutrition research to consider specific features of novel methods may facilitate consistent reporting and enable synthesis to inform policies and programs.
The incidence of congenital malformations (CM) among non-Hispanic White American (NHWA) mothers was reviewed to identify and evaluate the geographic differences in the most frequent CM subtypes associated with smoking and other risk factors. Data on CM were obtained from 150,775 children (2000-2004) from the Centers for Disease Control and Prevention. Risk factors associated with CM development were the mother’s age < 21 and > 35 years, body weight gain during pregnancy, anemia, diabetes mellitus, eclampsia (cases of preeclampsia were omitted), smoking, and alcohol use during pregnancy. Among smoking mothers, the most common CM was omphalocele, club foot, cleft lip, and polydactyly. The highest incidences (CM/10,000 births/year) of observed CM in children of smoking mothers were clubfoot, 25.51 cases (Utah), cleft lip, 22.47 (South Dakota), polydactyly, 21.23 (North Dakota), and omphalocele, 13.14 (Montana). The presence of maternal comorbidities, tobacco and alcohol consumption, and their association with other environmental factors can affect the incidence of CM in NHWA mothers. Further comparisons among the American states regarding the overall changes in CM over the last two decades should uncover crucial outcomes in terms of CM and smoking.
Agricultural monoculture negatively impacts soil quality, particularly in fragile soils that yield limited crop production and are highly susceptible to degradation. Increasing plant diversity in production systems can be an alternative for maintaining soil ecosystem services and increasing crop yields. This study investigated the influence of increased plant diversity on soil health and its impact on soybean and cotton yield in an Ultisol in the Brazilian savanna in Mato Grosso State, Brazil. Tested five rates of plant diversity after soybean harvest: (1) very low (VL), (2) low, (3) average, (4) long-term average and (5) high (integrated crop–livestock systems (ICLS)) were tested. Plant diversity improves the health of sandy loam soil, increases C and N fractions in particulate organic matter (POM-C and POM-N) and leads to differences in C utilization by the soil microbial community. High ICLS diversity raises total organic carbon content, being POM-C and POM-N, the labile fractions, more efficient to show changes in sandy loam soil, in the short term, over a period of three years. High diversity promoted yield gains of up to 251 % for cotton and 82 % for soybean in relation to VL plant diversity. Changes in soil microbial composition are able to partially explain crop yield in diversified production systems (R2 ranging from 0.51 to 0.80). Diversifying production components is a sustainable way to maintain biological functions and agricultural quality of loam sandy soil in the Brazilian Cerrado in Mato Grosso.
Understanding the determinants of malnutrition is pivotal for public health interventions. This study aimed to identify socio-economic, demographic, dietary and maternal determinants of wasting and overweight among Brazilian children between 6 and 59 months. Data from the Brazilian National Survey on Child Nutrition were analysed (n 11 789). Children’s weight-for-height Z-scores were calculated according to the WHO growth standard and classified as wasting (Z < −2), normal weight (–2 ≤ Z ≤ 1), overweight risk (1 < Z ≤ 2) and overweight (Z > 2). Socio-economic, demographic, dietary and maternal covariables were considered. Adjusted multinomial logistic regression (OR and 95 % CI) was employed. The prevalence of overweight and wasting was 9·5 and 2·6 %, respectively. In the adjusted model, younger age (6–23 months: OR: 1·7; 95 % CI: 1·3, 2·2), consumption of ≥ 5 ultra-processed food groups (OR: 1·8; 95 % CI: 1·1, 3·1), maternal underweight (OR: 0·4; 95 % CI: 0·2, 0·9), overweight (OR: 1·5; 95 % CI: 1·2, 1·9) and mild food insecurity (OR: 0·8; 95 % CI: 0·6, 1·0) were associated with child overweight. The Brazilian Northeast (OR: 4·9; 95 % CI: 2·1, 11·3), Southeast (OR: 7·1; 95 % CI: 3·0, 16·6), South (OR: 4·7; 95 % CI: 1·8, 12·1), Midwest regions (OR: 2·7; 95 % CI: 1·2, 6·2) and maternal underweight (OR: 5·4; 95 % CI: 2·7, 10·7) were associated with wasting. Overweight in Brazil is prevalent among children between 6 and 59 months, while wasting is not a major public health problem. The main determinants of these Brazilian children’s nutritional status were age, ultra-processed food consumption and maternal nutritional status.
This Element is broadly about the geometrization of physics, but mostly it is about gauge theories. Gauge theories lie at the heart of modern physics: in particular, they constitute the Standard Model of particle physics. At its simplest, the idea of gauge is that nature is best described using a descriptively redundant language; the different descriptions are said to be related by a gauge symmetry. The over-arching question this Element aims to answer is: why is descriptive redundancy fruitful for physics? I will provide three inter-related answers to the question: ``Why gauge theory?'', that is: why introduce redundancies in our models of nature in the first place? The first is pragmatic, or methodological; the second is based on geometrical considerations, and the third is broadly relational.
Cocoa is an important agricultural product that plays a crucial role in local communities in South America. In Brazil, it is traditionally grown in agroforestry systems, which are more sustainable and contribute to biodiversity conservation. However, the recent expansion of intensive monocultures in tropical forests poses significant threats to this activity. Using historical data on land use and cocoa productivity at the municipality level from Brazil’s primary cocoa-producing states, we show that maintaining and restoring forest cover are positively correlated with cocoa productivity, particularly in areas with less anthropogenic disturbance. This highlights the dependence of cocoa production on ecosystem services. Recent data reveal that in municipalities where local agriculture is less reliant on cocoa, only larger farms have benefitted from increased forest cover, probably due to their greater dependence on fragments of natural habitat for ecosystem services. In municipalities that are more reliant on cocoa, the effects of forest cover were not detected, while strong negative effects of forest fragmentation were observed in both small- and large-scale farms. We emphasize the importance of preserving natural forests near cocoa plantations to optimize productivity in Amazon and Atlantic Forest agroforestry, especially in deforested areas.
Members of Sinistroporomonorchis Wee, Cutmore, Pérez-del-Olmo & Cribb, 2020 represent a small group of trematodes belonging to the Monorchiidae Odhner, 1911 with 5 species described from mugilid hosts. Specimens consistent with the generic concept of Sinistroporomonorchis were obtained from Floridichthys polyommus (Cyprinodontidae); most of them were juveniles from 4 localities within the Yucatán Peninsula. After a detailed morphological examination including scanning electron microscopy images and a principal component analysis, the specimens collected represented a new species, Sinistroporomonorchis bolini n. sp. The new species can be differentiated by the presence of an overall large pharynx including the proportion of pharynx width to oral sucker width, a uterus arranged in 2 main lateral fields, and by presenting robust caeca. In addition, sequences of the 28S of large subunit of nuclear ribosomal RNA and cox1 of the mitochondrial DNA were obtained. Phylogenetic trees inferred from each dataset, placed all the specimens in a monophyletic clade, confirming that the isolates belonged to the same species. The new species is the sixth described for the genus Sinistroporomonorchis, the fifth described from the Yucatán Peninsula and the first described from a non-mugilid host.
There are few studies on the use medicinal herbs by pregnant women in Brazil, even though there is a wealth of knowledge about medicinal herbs among Brazilians of Indigenous, African, and European ancestry. The aim of this study was to assess the prevalence and type of herbs used by pregnant women living in the Amazon region.
Methods
This was a cross-sectional study conducted with 811 pregnant women attending 10 public antenatal clinics in Manaus, Amazonas state, Brazil. The consumption of medicinal herbs was assessed through individual 24-hour dietary recall.
Results
A total of 811 women in their second trimester (16 to 20 weeks) of pregnancy were included and 69 (8.5%) reported that they used herbs to make teas. There was a significant difference between users and non-users of medicinal teas, with a higher proportion of overweight women in the group that used teas (46.4% versus 31.9%; p=0.005). Nearly half (47.8%) of those who used medicinal teas consumed herbs with sedative effects, 23 percent consumed herbs for the relief of urinary tract symptoms, and 13 percent used herbs with digestive properties. Most women reported using natural herbs from their own gardens.
Conclusions
Approximately 10 percent of Brazilian women in the Amazon region consumed medicinal herbs to alleviate common symptoms of pregnancy. The most frequently used plants had sedative, urinary tract, or gastrointestinal effects. Most plants were obtained in natura from local gardens. Many of these plants have known adverse effects and their use is contraindicated during pregnancy.
The decision-making process for health technology assessment (HTA) in ultra-rare diseases faces a significant challenge for agencies worldwide. This study sought to offer an analytical overview of the clinical evidence outlined in the recommendations of the Brazilian National Committee for Health Technology Incorporation (Conitec) in ultra-rare diseases.
Methods
Data were extracted from recommendation reports for the ultra-rare diseases evaluated between 2012 and 2022. To classify a disease as ultra-rare, the epidemiological criterion or a consultation with the Orphanet platform was used (prevalence of ≤1/50,000 inhabitants). The extracted variables included the type of evidence synthesis, type of studies, instrument, the result of the assessment of the methodological quality of the studies, the format of evidence synthesis presentation, whether the evidence was graded, and the result.
Results
Among 53 analyzed reports, 70 percent relied on randomized controlled trials, followed by systematic reviews (SR), and observational studies. Reports with positive recommendations based on SR comprised 63 percent. GRADE applied to 27 reports and indicated low or very low results for the first two outcomes (62% and 65%). No clear link between evidence quality and final recommendations was observed. Meta-analysis-based reports had 83 percent positive recommendation rate, compared to 55 percent without meta-analysis. Surrogate outcomes were predominant. Clinical characteristics significantly influenced final decisions, especially when new data emerged in public consultation or had the potential to alter disease progression, reduce severe events, or enhance survival.
Conclusions
Ultra-rare diseases pose challenges in evidence quantity and quality. Traditional HTA frameworks seem inadequate, lacking robust evidence for these conditions. The difficulties in ultra-rare disease HTA underscore the need for specialized frameworks. This analysis acknowledges limitations, notably the heterogeneity in older report structures compared to recent ones, reflecting evolving HTA methodologies in Brazil.
The decision-making process for incorporating technologies for ultrarare diseases (URD) has been a challenge for health technology assessment agencies worldwide. These challenges have been presented in debates about the budget impact of incorporating technologies for URD. This is an important issue because there are other dimensions of the economic and social impact of URD that require consideration.
Methods
Data were extracted from National Committee for Health Technology Incorporation (CONITEC) reports (2012 to 2022) on technologies for the treatment of URD in Brazil. Diseases were classified using an epidemiological criterion or Orphanet consultation (prevalence ≤1 per 50,000 inhabitants). Variables included eligible patient count, population estimation method, incremental impact values for one and five years, and diffusion rate in the first and fifth year. Univariate logistic regression was used to adjust the relationship between the budget impact analysis and the final recommendation, considering factors associated with incorporation in univariate regression and p-values less than 0.10 in a multivariate regression.
Results
Among 53 reports, 48 percent exclusively employed the epidemiological approach for incremental impact assessment population estimation, rising to 69.5 percent when combined with measured demand. Population data were nearly evenly sourced from national and international platforms, with the UK, the USA, and multicenter studies being the most cited internationally. Notable differences were found between favorable and unfavorable CONITEC recommendations, with lower values being associated with incorporation. Market share diffusion rates favored the option of 100 percent diffusion in both the first year and the cumulative five years. The analysis highlighted the influence of demand characteristics and technology type on the budget impact value over one and five years.
Conclusions
The study found that budget impact data significantly influenced the final recommendation for technology incorporation, indicating a criterion favoring technologies with a lower budget impact. However, requester characteristics and technology type also played a role in the decision-making process, suggesting that additional factors influence recommendations.
The decision-making process for health technology assessment (HTA) in ultra-rare diseases is a global challenge. Establishing a comprehensive analytical framework for these unique diseases poses difficulties. This study aims to descriptively analyze arguments reported by the Brazilian National Committee for Health Technology Incorporation (Conitec) in deciding whether to include technology for ultra-rare diseases.
Methods
Data from recommendation reports (2012 to 2022) were analyzed. Diseases with a prevalence of fewer than one per 50,000 inhabitants were classified as ultra-rare. Extracted variables included preliminary and final recommendation results and justifications by Conitec. Six argument categories were created (method-related issues; evidence; cost; technology effectiveness or safety; context; innovation). Word clouds were generated based on word frequency in each category to present the data.
Results
In the analysis of 45 reports, the word clouds highlight frequent terms in favorable arguments, emphasizing evidence quality, cost reduction, and applicability in the healthcare system. Conversely, unfavorable arguments also revolve around evidence quality and cost impact. The analysis of the arguments according to categories, 16 arguments were identified: seven concern evidence issues, five cite methodological problems in presented studies, four relate to costs, and three pertain to technology effectiveness or safety. Unfavorable arguments primarily stem from evidence-related concerns. In favorable arguments, cost (seven) and safety (six) are prominent, with innovation (one) and context (three) being additional categories not found in the unfavorable group.
Conclusions
While technology assessment processes for ultra-rare diseases have evolved, the justifications for recommending or not incorporating new technologies remain unchanged. Over time, reports have become more detailed, focusing on evidence and methodological specifics. This highlights the importance of scrutinizing evidence characteristics and determining relevant criteria and data types for this unique context.
Several countries established health technology assessment (HTA) processes to support decision-making. Considering the high volume of submissions processed by HTA agencies, approaches to determine factors associated with the approval would be beneficial. This study aimed to predict the final recommendation of the National Committee for Health Technology Incorporation (Conitec) using a natural language processing (NLP) algorithm for text extraction.
Methods
Conitec’s 2012 to 2022 reports (n=389) were split into 75 percent training and 25 percent testing data. Tokenization enabled NLP models: Least Absolute Shrinkage and Selection Operator (LASSO), logistic regression, support vector machine (SVM), random forest, neural network, and Extreme Gradient Boosting (XGBOOST). Evaluation criteria included accuracy, area under the receiver operating characteristic curve (ROC AUC) score, precision, and recall. Cluster analysis with k-modes identified two clusters (group 0 = approved, group 1 = rejected).
Results
The neural network model demonstrated the best accuracy metrics with a precision of 0.815, accuracy of 0.769, ROC AUC of 0.871, and a recall of 0.746. Some tokenization identified that linguistic markers could contribute to the prediction of incorporation decision by the Brazilian HTA Committee, such as international HTA agencies’ experience and the government as the main requester. Cluster and XGBOOST analysis identified similar results with approved technologies with a predominance of drugs assessment, mainly requested by the government, and not approved mostly assessing drugs, the industry as the main requester.
Conclusions
The NLP model could identify predictors for the final decision process on the incorporation of health technologies in Brazil’s Unified Health System, opening paths for future work using HTA reports coming from other agencies. This model could potentially improve the throughput of HTA systems by supporting experts with prediction/factors/criteria for approval or nonapproval as an earlier step.