Person: Guillén Grima, Francisco
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Guillén Grima
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Francisco
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Ciencias de la Salud
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0000-0001-9749-8076
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Publication Open Access Evaluating the efficacy of ChatGPT in navigating the spanish medical residency entrance examination (MIR): promising horizons for AI in clinical medicine(MDPI, 2023) Guillén Grima, Francisco; Guillén Aguinaga, Sara; Guillén Aguinaga, Laura; Alas Brun, Rosa María; Onambele, Luc; Ortega-Leon, Wilfrido; Montejo, Rocío; Aguinaga Ontoso, Enrique; Barach, Paul; Aguinaga Ontoso, Inés; Ciencias de la Salud; Osasun ZientziakThe rapid progress in artificial intelligence, machine learning, and natural language processing has led to increasingly sophisticated large language models (LLMs) for use in healthcare. This study assesses the performance of two LLMs, the GPT-3.5 and GPT-4 models, in passing the MIR medical examination for access to medical specialist training in Spain. Our objectives included gauging the model’s overall performance, analyzing discrepancies across different medical specialties, discerning between theoretical and practical questions, estimating error proportions, and assessing the hypothetical severity of errors committed by a physician. Material and methods: We studied the 2022 Spanish MIR examination results after excluding those questions requiring image evaluations or having acknowledged errors. The remaining 182 questions were presented to the LLM GPT-4 and GPT-3.5 in Spanish and English. Logistic regression models analyzed the relationships between question length, sequence, and performance. We also analyzed the 23 questions with images, using GPT-4’s new image analysis capability. Results: GPT-4 outperformed GPT-3.5, scoring 86.81% in Spanish (p < 0.001). English translations had a slightly enhanced performance. GPT-4 scored 26.1% of the questions with images in English. The results were worse when the questions were in Spanish, 13.0%, although the differences were not statistically significant (p = 0.250). Among medical specialties, GPT-4 achieved a 100% correct response rate in several areas, and the Pharmacology, Critical Care, and Infectious Diseases specialties showed lower performance. The error analysis revealed that while a 13.2% error rate existed, the gravest categories, such as “error requiring intervention to sustain life” and “error resulting in death”, had a 0% rate. Conclusions: GPT-4 performs robustly on the Spanish MIR examination, with varying capabilities to discriminate knowledge across specialties. While the model’s high success rate is commendable, understanding the error severity is critical, especially when considering AI’s potential role in real-world medical practice and its implications for patient safety.Publication Open Access Trends, projections, and regional disparities of maternal mortality in Africa (1990-2030): an ARIMA forecasting approach(MDPI, 2023) Onambele, Luc; Guillén Aguinaga, Sara; Guillén Aguinaga, Laura; Ortega-Leon, Wilfrido; Montejo, Rocío; Alas Brun, Rosa María; Aguinaga Ontoso, Enrique; Aguinaga Ontoso, Inés; Guillén Grima, Francisco; Ciencias de la Salud; Osasun ZientziakWith the United Nations Sustainable Development Goals (SDG) (2015–2030) focused on the reduction in maternal mortality, monitoring and forecasting maternal mortality rates (MMRs) in regions like Africa is crucial for health strategy planning by policymakers, international organizations, and NGOs. We collected maternal mortality rates per 100,000 births from the World Bank database between 1990 and 2015. Joinpoint regression was applied to assess trends, and the autoregressive integrated moving average (ARIMA) model was used on 1990–2015 data to forecast the MMRs for the next 15 years. We also used the Holt method and the machine-learning Prophet Forecasting Model. The study found a decline in MMRs in Africa with an average annual percentage change (APC) of −2.6% (95% CI −2.7; −2.5). North Africa reported the lowest MMR, while East Africa experienced the sharpest decline. The region-specific ARIMA models predict that the maternal mortality rate (MMR) in 2030 will vary across regions, ranging from 161 deaths per 100,000 births in North Africa to 302 deaths per 100,000 births in Central Africa, averaging 182 per 100,000 births for the continent. Despite the observed decreasing trend in maternal mortality rate (MMR), the MMR in Africa remains relatively high. The results indicate that MMR in Africa will continue to decrease by 2030. However, no region of Africa will likely reach the SDG target.Publication Open Access Incidence and risk factors of the COVID-19 pandemic: an epidemiological approach(MDPI, 2023) Arnedo-Pena, Alberto; Guillén Grima, Francisco; Ciencias de la Salud; Osasun ZientziakAfter three years of the COVID-19 pandemic, its significant impact on global health is evident, with varying mortality, incidence, and fatality rates across different regions. Studies estimate over 40% of the world's population has been infected. The pandemic has disproportionately affected low-income countries and vulnerable groups. A Special Issue in Epidemiologia focused on the epidemiology of COVID-19, examining high-risk groups, including long-term care home residents and staff, healthcare workers, and patients with chronic mental illness. Findings highlighted factors influencing COVID-19 incidence and mortality, such as facility conditions and staff ratios. Despite vaccination efforts reducing the severity of infections, transmission remains high, and ongoing research is crucial to manage new variants and future pandemics.Publication Open Access Schizophrenia and hospital admissions for cardiovascular events in a large population: the APNA study(MDPI, 2022) Guillén Aguinaga, Sara; Brugos Larumbe, Antonio; Guillén Aguinaga, Laura; Ortuño, Felipe; Guillén Grima, Francisco; Forga, Lluís; Aguinaga Ontoso, Inés; Ciencias de la Salud; Osasun Zientziak(1) Background: patients with schizophrenia have higher mortality, with cardiovascular diseases being the first cause of mortality. This study aims to estimate the excess risk of hospital admission for cardiovascular events in schizophrenic patients, adjusting for comorbidity and risk factors. (2) Methods: the APNA study is a dynamic prospective cohort of all residents in Navarra, Spain. A total of 505,889 people over 18 years old were followed for five years. The endpoint was hospital admissions for a cardiovascular event. Direct Acyclic Graphs (DAG) and Cox regression were used. (3) Results: schizophrenic patients had a Hazard Ratio (HR) of 1.414 (95% CI 1.031–1.938) of hospital admission for a cardiovascular event after adjusting for age, sex, hypertension, type 2 diabetes, dyslipidemia, smoking, low income, obesity, antecedents of cardiovascular disease, and smoking. In non-adherent to antipsychotic treatment schizophrenia patients, the HR was 2.232 (95% CI 1.267–3.933). (4) Conclusions: patients with schizophrenia have a higher risk of hospital admission for cardiovascular events than persons with the same risk factors without schizophrenia. Primary care nursing interventions should monitor these patients and reduce cardiovascular risk factors.Publication Open Access Variability in the control of type 2 diabetes in primary care and its association with hospital admissions for vascular events. The APNA study(MDPI, 2021) Guillén Aguinaga, Sara; Forga, Lluís; Brugos Larumbe, Antonio; Guillén Grima, Francisco; Guillén Aguinaga, Laura; Aguinaga Ontoso, Inés; Ciencias de la Salud; Osasun ZientziakType 2 diabetes (T2D) is associated with increased cardiovascular morbidity, mortality, and hospital admissions. This study aimed to analyze how the differences in delivered care (variability of glycosylated hemoglobin (HbA1c) achieved targets) affect hospital admissions for cardiovascular events (CVEs) in T2D patients. Methods: We analyzed the electronic records in primary care health centers at Navarra (Spain) and hospital admission for CVEs. We followed 26,435 patients with T2D from 2012 to 2016. The variables collected were age, sex, health center, general practitioner practice (GPP), and income. The clinical variables were diagnosis of T2D, weight, height, body mass index (BMI), blood pressure (BP), HbA1c, low-density lipoprotein cholesterol (LDL-C), smoking, and antecedents of CVEs. We calculated, in each GPP practice, the proportion of patients with HbA1c ≥ 9. A non-hierarchical K-means cluster analysis classified GPPs into two clusters according to the level of compliance with HbA1C ≥ 9% control indicators. We used logistic and Cox regressions. Results: T2D patients had a higher probability of admission for CVEs when they belonged to a GPP in the worst control cluster of HbA1C ≥ 9% (HR = 1.151; 95% CI, 1.032–1.284).Publication Open Access Maternal mortality in Africa: regional trends (2000-2017)(MDPI, 2022) Onambele, Luc; Ortega-Leon, Wilfrido; Guillén Aguinaga, Sara; Forjaz, Maria Joao; Yoseph, Amanuel; Guillén Aguinaga, Laura; Alas Brun, Rosa María; Arnedo Pena, Alberto; Aguinaga Ontoso, Inés; Guillén Grima, Francisco; Ciencias de la Salud; Osasun ZientziakBackground: United Nations Sustainable Development Goals state that by 2030, the global maternal mortality rate (MMR) should be lower than 70 per 100,000 live births. MMR is still one of Africa’s leading causes of death among women. The leading causes of maternal mortality in Africa are hemorrhage and eclampsia. This research aims to study regional trends in maternal mortality (MM) in Africa. Methods: We extracted data for maternal mortality rates per 100,000 births from the United Nations Children’s Fund (UNICEF) databank from 2000 to 2017, 2017 being the last date available. Joinpoint regression was used to study the trends and estimate the annual percent change (APC). Results: Maternal mortality has decreased in Africa over the study period by an average APC of −3.0% (95% CI −2.9; −3,2%). All regions showed significant downward trends, with the greatest decreases in the South. Only the North African region is close to the United Nations’ sustainable development goals for Maternal mortality. The remaining Sub-Saharan African regions are still far from achieving the goals. Conclusions: Maternal mortality has decreased in Africa, especially in the South African region. The only region close to the United Nations’ target is the North African region. The remaining Sub-Saharan African regions are still far from achieving the goals. The West African region needs more extraordinary efforts to achieve the goals of the United Nations. Policies should ensure that all pregnant women have antenatal visits and give birth in a health facility staffed by specialized personnel.Publication Open Access Production of vegetables and artichokes is associated with lower cardiovascular mortality: an ecological study(MDPI, 2020) Arnedo Pena, Alberto; Puig Barberà, Joan; Bellido Blasco, Juan; Romeu García, María Ángeles; Guillén Grima, Francisco; Ciencias de la Salud; Osasun ZientziakMortality due to cardiovascular disease (CVD), including cerebrovascular disease (CED) and ischaemic heart disease (IHD), was considerably different in eight municipalities of the province of Castellón, Community of Valencia (Spain) during the period of 1991–2011. In addition, these villages showed differences in agricultural practices and production. Since high vegetable consumption has been linked to decreased all-cause, CVD, and CED mortalities, we hypothesized that the diversity in vegetable and artichoke production, used as proxies for their consumption, could be associated with the diversity of mortality rates. In order to test our hypothesis, we estimated the smoothed standardized mortality ratios (SMRs) of CVD, CED, and IHD mortalities and a directed, age-adjusted mortality rate (AMR). We used a multilevel linear regression analysis to account for the ecological nature of our study. After adjustment, the CVD and CED SMRs were inversely associated with vegetable and artichoke production, with a reduction in SMRs for CVD: −0.19 (95% Confidence Interval [CI] −0.31 to −0.07) and −0.42 (95% CI −0.70 to −0.15) per hectare/103 inhabitants, respectively. The SMRs for CED also decreased: −0.68 (95% CI −1.61 to −0.19) and −1.47 (95% CI −2.57 to −0.36) per hectare/103 inhabitants, respectively. The SMRs for IHD were not associated with vegetal and artichoke production. When the directed AMR was used, CED mortality was consistent with the previous results, whereas the CVD mortality association was lost. Our results indicate that vegetable and artichoke production may act as protective factors of CED and CVD mortalities.Publication Open Access Negative consequences of substance use in European university students: results from Project SNIPE(Karger, 2020) McAlaney, John; Dempsey, Robert C.; Helmer, Stefanie M.; Hal, Guido van; Bewick, Bridgette M.; Akvardar, Yildiz; Guillén Grima, Francisco; Ciencias de la Salud; Osasun ZientziakBackground: University students are a risk group for heavy substance use and the experience of various potentially severe negative substance use consequences which may impact on their health, social, and academic functioning. Whilst the experience of negative consequences of substance use is well understood in North American student samples, there is little data on these experiences in European students. In order to develop effective harm prevention and reduction interventions for students' substance use, there needs to be an understanding of the types of consequences experienced in European student samples. Objectives: The aim of the study was to investigate the prevalence and predictors of the experience of negative substance use-related consequences amongst university students in 7 European countries. Methods: University students (n = 4,482) in Belgium, Denmark, Germany, the Slovak Republic, Spain, Turkey, and the UK completed an online survey of their substance use behaviours and the experience of associated negative consequences. Results: European students reported that experiencing a hangover or illness, missing class, being short of money, and experiencing memory loss were the most commonly experienced negative consequences of substance use. Not living with other students and using alcohol, cannabis, sedatives, and cocaine were also associated with higher odds of experiencing these negative consequences. Conclusions: In contrast to North American data, European university students tended to experience consequences that are associated with lower level health risks rather than more severe consequences (e.g., drink-driving and physical injury). Harm prevention and reduction interventions for students should be targeted towards those consequences that are most salient to the target group to ensure feedback is relevant and potentially more effective in changing students' substance use behaviours.Publication Open Access Individual- and community-level determinants of maternal health service utilization in southern Ethiopia: a multilevel analysis(SAGE, 2023) Yoseph, Amanuel; Teklesilasie, Wondwosen; Guillén Grima, Francisco; Astatkie, Ayalew; Ciencias de la Salud; Osasun ZientziakBackground: Maternal health service utilization decreases maternal morbidity and mortality. However, the existing evidence is inadequate to design effective intervention strategies in Ethiopia. Objectives: This study aimed to examine the utilization of maternal health service and identify its determinants among women of reproductive age in southern Ethiopia. Design: A community-based cross-sectional study was conducted from October 21 to November 11, 2022 on a sample of 1140 women selected randomly from the Northern Zone of the Sidama region. Methods: Data were collected using the Open Data Kit mobile application and exported to Stata version 15 for analysis. We used a multilevel mixed-effects modified Poisson regression with robust standard error to identify determinants of maternal health service utilization. Results: Utilization of antenatal care, health facility delivery, and postnatal care was 52.0% (95% confidence interval: 49.0%, 55.0%), 48.5% (95% confidence interval: 45.6%, 51.4%), and 26.0% (95% confidence interval: 23.0%, 29.0%), respectively. Antenatal care use was associated with receiving model family training (adjusted prevalence ratio: 1.19; 95% confidence interval: 1.06, 1.35), knowledge of antenatal care (adjusted prevalence ratio: 1.54; 95% confidence interval: 1.31, 1.81), perceived quality of antenatal care (adjusted prevalence ratio: 1.02; 95% confidence interval: 1.01, 1.03), and having birth preparedness plan (adjusted prevalence ratio: 1.13; 95% confidence interval: 1.02, 1.25). The identified determinants of health facility delivery use were middle wealth rank (adjusted prevalence ratio: 1.35; 95% confidence interval: 1.03, 1.77), perceived quality of health facility delivery (adjusted prevalence ratio: 1.02; 95% confidence interval: 1.01, 1.03), antenatal care (adjusted prevalence ratio: 1.76; 95% confidence interval: 1.36, 2.26), and high community-level women literacy (adjusted prevalence ratio: 1.55; 95% confidence interval: 1.10, 2.19). Postnatal care use was associated with facing health problems during postpartum period (adjusted prevalence ratio: 1.79; 95% confidence interval: 1.18, 2.72), urban residence (adjusted prevalence ratio: 3.52; 95% confidence interval: 2.15, 5.78), knowledge of postnatal care (adjusted prevalence ratio: 1.11; 95% confidence interval: 1.04, 1.19), and low community-level poverty (adjusted prevalence ratio: 0.43; 95% confidence interval: 0.25, 0.73). Conclusion: Maternal health service use was low in the study area and was influenced by individual- and community-level determinants. Any intervention strategies must consider multi-sectorial collaboration to address determinants at different levels. The programs should focus on the provision of model family training, the needs of women who have a poor perception, and knowledge of maternal health service at the individual level.Publication Open Access Evaluation of the degradation of materials by exposure to germicide UV-C light through colorimetry, tensile strength and surface microstructure analyses(Elsevier, 2022) Mitxelena Iribarren, Oihane; Mondragón, Beñat; Pérez Lorenzo, Eva; Smerdou, Cristian; Guillén Grima, Francisco; Sierra-García, J. Enrique; Rodríguez Merino, Fernando; Arana, Sergio; Ciencias de la Salud; Osasun ZientziakDue to the COVID19 pandemic, solutions to automate disinfection using UV-C combined with mobile robots are beginning to be explored. It has been proved that the use of these systems highly reduces the risk of contagion. However, its use in real applications is not being as rapid as it needs to be. One of the main market input barriers is the fear of degrading facilities. For this reason, it is crucial to perform a detailed study on the degradation effect of UV-C light on inert materials. This experimental study proves that, considering exposition times equivalent to several work years in hospital rooms, only the appearance of the material is affected, but not their mechanical functionalities. This relevant result could contribute to accelerate the deployment of these beneficial disinfection technologies. For that purpose, a colorimetry test, tensile strength test, and analysis of the surface microstructure were carried out. The results showed that polymers tend to turn yellow, while fabrics lose intensity depending on the color. Red is hardly affected by UV-C, but blue and green are. Thus, this study contributes to the identification of the best materials and colors to be used in rooms subjected to disinfection processes. In addition, it is shown how the surface microstructure of the materials is altered in most of the materials, but not the tensile strength of the fabrics.