Mission
At EVISAP, we focus on generating rigorous, high-impact knowledge to improve the quality, safety, and efficiency of health services, especially in primary care. We adopt a multidisciplinary and innovative approach, using digital health tools and person-centered methods. Our goal is to develop solutions that address the challenges of the healthcare system, promoting the active participation of patients and professionals.
Main research lines
1. Health Services Research
This line aims to improve health services, especially those in Primary Care. We address key aspects such as service organization, resource management, and the implementation of patient-centered care models. Our goal is to generate evidence that enhances accessibility, continuity, and user satisfaction, adapting to the changing needs of both the population and healthcare professionals.
2. Evidence-Based Medicine
At EVISAP, our research in Evidence-Based Medicine focuses on evaluating and synthesizing the best available scientific evidence to inform decision-making in clinical practice. We conduct rigorous systematic reviews that serve as the foundation for developing clinical practice guidelines, ensuring recommendations are applicable, effective, and safe. Additionally, as the Cochrane Balearic Islands group, we promote a culture of health based on scientific evidence and support researchers and healthcare professionals in the Balearic Islands in producing systematic reviews.
Our commitment to evidence-based medicine is reflected in the strict adherence to international methodological standards in both conducting systematic reviews and designing and executing primary studies, including clinical trials and observational studies. We apply validated tools to assess risk of bias, follow preregistered protocols, and ensure transparency and reproducibility throughout all our processes. This methodological rigor guarantees that our conclusions are robust, reliable, and useful for clinical and healthcare decision-making.
3. Health Promotion
Our research in health promotion focuses on the development and evaluation of interventions aimed at improving well-being and preventing diseases. We specialize in creating digital tools that facilitate self-care and health management, tailored to the needs of different populations. These interventions seek to empower individuals by promoting healthy lifestyles and encouraging active participation in their own health care.


Projects
Highlighted Research Projects of EVISAP
Promoting the transfer of DiabeText, a digital tool integrated with the clinical history to improve the health and quality of life of people with diabetes
PI: Ignacio Ricci Cabello
Funding: 149,500
Duration: 2023-2024
Contract/project file: PDC2022-133257-I00
Collaborating researchers: Claudio Mirasso Santos, Aina Yáñez Juan, Miquel Bennasar Veny, Esperança Amengual Alcover, Jordi Llabrés Bordoy, Elena Gervilla García, Silvia Ortín González, Escarlata Angullo Martínez, Carlos Enrique Herrero, María Asunción Boronat Moreiro, Sofía Mira Martínez, María Zaforteza Dezcallar, María Jesús Serrano Ripoll, María Antònia Fiol de Roque, Rocío Zamanillo Campos.
Methodological Support for the Performance of Literature Reviews within Evidence-based Scientific Assessments. PI Baleares: Ignacio Ricci Cabello
Funding: 4,000,000€
Duration: 2022-2026
Contract/project file: OC/EFSA/MESE/2022/03
Collaborating researchers: María Adoración Romaguera, Miquel Bennasar Veny
Multimorbilidad en el Sistema Nacional de Salud: Caracterización poblacional e impacto de sus patrones y trayectorias en personas mayores (Proyecto MM-SNS) IP: Angélica Miguélez Chamorro Financiación: 33.880,00 € Duración: 2023-2025 Expediente contrato/proyecto: PI22/01684 Investigadores colaboradores: Bernardino Oliva Fanlo, Patricia Lorente Montalvo, Miguel Bennasar Veny, Joan Llobera Cànaves, Aina Maria Yañez Juan, Maria Antònia Fiol de Roque, Estefania Serratusell Sabater
Evaluation of SINERGIAPS, an intervention aimed at improving patient safety in healthcare centers in Spain based on the perceptions and experiences of the patients themselves.
PI: Ignacio Ricci Cabello
Funding Agency: Research Projects in Health. Carlos III Health Institute
Funding: 119,790.00 €
Duration: 2023-2025
Contract/project file: PI22/01521
Collaborating researchers: José María Valderas, Antonio Olry de Labry Lima, Maria Antonia Fiol de Roque, Sara Guerrero, María Costa Marín, Clara González Formoso, Fernando Isidro Lago, Sofía Mira Martínez
How can potentially inappropriate prescriptions in Primary Care be effectively reduced? Exploratory study for the design of an evidence-based intervention.
PI: María Antònia Fiol de Roque
Funding agency: Illes Balears Health Research Institute (IdISBa). IMPETUS 2021 intramural call.
Funding: 10,000€
Duration: 2022-2023
Contract/project file: IMP21/02
Collaborating researchers: Ignacio Ricci Cabello, Aina Soler Mieras, Maria Jesús Serrano-Ripoll, David Medina Bombardó, Elena Gervilla.
Clinical effectiveness and bacteriological eradication of 4 short antibiotic regimens in lower urinary tract infections in adult women (SCOUT Study).
PI: Alfonso Leiva Rus
Funding agency: Health research projects. Carlos III Health Institute.
Funding: 82,500€
Duration: 2 years (January 2021 – December 2022)
Contract/project file: ICI20/00128
Collaborating researchers: Antonia Roca Casas, José Ignacio Ramírez Manent , Joan Llobera Canaves, Antonio Ballester Camps, Catalina Vicens Caldentey, Aina MariaYañez Juan, Ignacio Ricci Cabello, Aina Soler Mieras, Eva Alcoceba Cruixent, Maria Consuelo Corrionero Soto, Joana Ripoll Amengual
Development and evaluation of the effectiveness, cost-effectiveness, and implementation of a low-intensity, multicomponent digital intervention to prevent type 2 diabetes mellitus within primary care: PREDIABETEXT study.
PI:Ignacio Ricci Cabello (IP), Escarlata Angullo Martínez (Co-PI)
Funding agency: Illes Balears Health Research Institute (IdISBa) – Sinergias 2020 intramural call
Funding: 20,000€
Duration: 2 years (January 2021 – December 2022)
Contract/project file: SYN20/04
Collaborating researchers: Maria Jesús Serrano Ripoll, Maria Antonia Fiol de Roque, Joan Llobera Canaves, Alfonso Leiva Rus, Oana, BulileteBulilete, JadwigaKonieczna, Elena Gervilla, Miquel Roca Bennasar, Margalida Gili Planas, Mauro García-Toro, Miquel Bennasar Veny, Aina MariaYañez Juan, Aina Galmés Panadés, Maria Adoración Romaguera Bosch, Rafa Jiménez López, Catalina Vicens Caldentey, Rocío Gómez Juanes, Clara Vidal Thomás, Juan José Montaño Moreno
Project for the evaluation and update of indicators for the main comorbidities and complications of type 2 diabetes mellitus: the case of heart failure.
PI: Ignacio Ricci Cabello (IP), Rocío Zamanillo Campos (Co-PI)
Funding agency: Astrazeneca
Funding: 20,000€
Duration: 1 year (January 2021 – December 2021)
Contract/project file: PSID/INDICA
Development, evaluation, and large-scale implementation of PSICOVIDAPP, a psychoeducational intervention through a mobile application to mitigate mental health issues in healthcare professionals responding to the COVID-19 pandemic.
PI: Mauro García Toro (PI), Ignacio Ricci Cabello (Co-PI)
Funding Agency: 2020 Spanish Foundation of Psychiatry and Mental Health Grants.
Funding: 41,000€
Duration: 14 months (October 2020 – December 2021)
Contract/project file: SEP20/01
Collaborating researchers: Miquel Bennasar Veny, Maria Antonia Fiol de Roque, Elena Gervilla García, Rafael Jiménez López, Alfonso Leiva Rus, Joan Llobera Canaves, Joan Salvà Coll, Maria Jesús Serrano Ripoll, Rocío Zamanillo Campos, Aina Maria Yáñez Juan, Carolina Sitges, Javier García Campayo, Maria Esther García Buades, Guadalupe Pastor Moreno, Isabel Ruíz Pérez, Pablo Alonso Coello
Effectiveness of an intervention based on the use of mobile technology for the prevention of mental health issues in healthcare professionals on the frontlines of patient care for COVID-19.
PI: Ignacio Ricci Cabello and Maria Jesús Serrano Ripoll
Funding agency: Illes Balears Health Research Institute (IdISBa) – Extraordinary call for expressions of interest for research projects in response to the COVID-19 pandemic.
Funding: 48,500€
Duration: 18 months (2020 May – 2021 November)
Contract/project file: COVID-19/06
Collaborating researchers: Miquel Bennasar Veny, Maria Antonia Fiol de Roque, Mauro García Toro, Elena Gervilla García, Rafael Jiménez López, Alfonso Leiva Rus, Joan Llobera Canaves, Joan Salvà Coll, Maria Jesús Serrano Ripoll, Rocío Zamanillo Campos, Aina Maria Yáñez Juan, Carolina Sitges, Javier García Campayo, Maria Esther García Buades, Guadalupe Pastor Moreno, Isabel Ruíz Pérez, Pablo Alonso Coello
Promoting adherence to antidiabetic medication in patients with type 2 diabetes through a mobile technology system integrated with computerized medical records (RTI2018-096935-A-I00) R+D+i Projects “Retos investigación”. Ministry of Science, Innovation and Universities. Principal Investigator: Ignacio Ricci Cabello. Duration: 2019 – 2022.
Translation into Catalan and psychometric validation of the questionnaire “Patient Reported Experiences and Outcomes of Safety in Primary Care” PREOS-PC (INAP/SERRANO) VI Research Projects Grants AP Mallorca 2019. GAP Mallorca. Principal investigator: Mª Jesús Serrano Ripoll. Duration: 2019 – 2020.
Development and Evaluation of an Intervention based on the Provision of Patient Feedback to Improve Patient Safety in Spanish Primary Care Centres (CP17/00017) Miguel Servet Type I Contract. Carlos III Health Institute. Principal investigator: Ignacio Ricci Cabello. Duration: 2018 – 2021.
Scientific publications

2025
- Use of artificial intelligence to support the assessment of the methodological quality of systematic reviews. Marques-Cruz, Manuel; Pinto, Filipe; Vieira, Rafael José; Bognanni, Antonio; Perestrelo, Paula; Gil-Mata, Sara; Duarte, Vítor Henrique; Barbosa, José Pedro; Cardoso-Fernandes, António; Martinho-Dias, Daniel; Franco-Pego, Francisco; Germini, Federico; Arienti, Chiara; Chu, Alexandro W L; Riera-Serra, Pau; Jemioło, Paweł; Rodrigues, Pedro Pereira; Fonseca, João A; Azevedo, Luís Filipe; Schünemann, Holger J; Cruz-Correia, Ricardo; Jankin, Slava; Sousa-Pinto, Bernardo (2025). 111944–111944.INTRODUCTION: Published systematic reviews display an heterogeneous methodological quality, which can impact decision-making. Large language models (LLMs) can support and make the assessment of the methodological quality of systematic reviews more efficient, aiding in the incorporation of their evidence in guideline recommendations. We aimed to develop a LLM-based tool for supporting the assessment of the methodological quality of systematic reviews. METHODS: We assessed the performance of eight large language models (LLMs) in evaluating the methodological quality of systematic reviews. In particular, we provided 100 systematic reviews for eight LLMs (five base models and three fine-tuned models) to evaluate their methodological quality based on a 27-item validated tool (ReMarQ). The fine-tuned models had been trained with a different sample of 300 manually assessed systematic reviews. We compared the answers provided by LLMs with those independently provided by human reviewers, computing the accuracy, kappa coefficient and F1-score for this comparison. RESULTS: The best performing LLM was a fine-tuned GPT-3.5 model (mean accuracy=96.5% [95%CI=89.9-100%]; mean kappa coefficient=0.90 [95%CI=0.71-1.00]; mean F1-score=0.91 [95%CI=0.83-1.00]). This model displayed an accuracy >80% and a kappa coefficient >0.60 for all individual items. When we made this LLM assess 60 times the same set of systematic reviews, answers to 18 of 27 items were always consistent (i.e., were always the same) and only 11% of assessed systematic reviews showed inconsistency. CONCLUSION: Overall, LLMs have the potential to accurately support the assessment of the methodological quality of systematic reviews based on a validated tool comprising dichotomous items.
@article{marquescruz2025artificial,
abstract = {INTRODUCTION: Published systematic reviews display an heterogeneous methodological quality, which can impact decision-making. Large language models (LLMs) can support and make the assessment of the methodological quality of systematic reviews more efficient, aiding in the incorporation of their evidence in guideline recommendations. We aimed to develop a LLM-based tool for supporting the assessment of the methodological quality of systematic reviews. METHODS: We assessed the performance of eight large language models (LLMs) in evaluating the methodological quality of systematic reviews. In particular, we provided 100 systematic reviews for eight LLMs (five base models and three fine-tuned models) to evaluate their methodological quality based on a 27-item validated tool (ReMarQ). The fine-tuned models had been trained with a different sample of 300 manually assessed systematic reviews. We compared the answers provided by LLMs with those independently provided by human reviewers, computing the accuracy, kappa coefficient and F1-score for this comparison. RESULTS: The best performing LLM was a fine-tuned GPT-3.5 model (mean accuracy=96.5% [95%CI=89.9-100%]; mean kappa coefficient=0.90 [95%CI=0.71-1.00]; mean F1-score=0.91 [95%CI=0.83-1.00]). This model displayed an accuracy >80% and a kappa coefficient >0.60 for all individual items. When we made this LLM assess 60 times the same set of systematic reviews, answers to 18 of 27 items were always consistent (i.e., were always the same) and only 11% of assessed systematic reviews showed inconsistency. CONCLUSION: Overall, LLMs have the potential to accurately support the assessment of the methodological quality of systematic reviews based on a validated tool comprising dichotomous items.},
address = {United States},
author = {Marques-Cruz, Manuel and Pinto, Filipe and Vieira, Rafael José and Bognanni, Antonio and Perestrelo, Paula and Gil-Mata, Sara and Duarte, Vítor Henrique and Barbosa, José Pedro and Cardoso-Fernandes, António and Martinho-Dias, Daniel and Franco-Pego, Francisco and Germini, Federico and Arienti, Chiara and Chu, Alexandro W L and Riera-Serra, Pau and Jemioło, Paweł and Rodrigues, Pedro Pereira and Fonseca, João A and Azevedo, Luís Filipe and Schünemann, Holger J and Cruz-Correia, Ricardo and Jankin, Slava and Sousa-Pinto, Bernardo},
journal = {Journal of clinical epidemiology},
keywords = {evisap},
month = {aug},
pages = {111944--111944},
title = {Use of artificial intelligence to support the assessment of the methodological quality of systematic reviews},
year = 2025
}%0 Journal Article
%1 marquescruz2025artificial
%A Marques-Cruz, Manuel
%A Pinto, Filipe
%A Vieira, Rafael José
%A Bognanni, Antonio
%A Perestrelo, Paula
%A Gil-Mata, Sara
%A Duarte, Vítor Henrique
%A Barbosa, José Pedro
%A Cardoso-Fernandes, António
%A Martinho-Dias, Daniel
%A Franco-Pego, Francisco
%A Germini, Federico
%A Arienti, Chiara
%A Chu, Alexandro W L
%A Riera-Serra, Pau
%A Jemioło, Paweł
%A Rodrigues, Pedro Pereira
%A Fonseca, João A
%A Azevedo, Luís Filipe
%A Schünemann, Holger J
%A Cruz-Correia, Ricardo
%A Jankin, Slava
%A Sousa-Pinto, Bernardo
%C United States
%D 2025
%J Journal of clinical epidemiology
%P 111944--111944
%R 10.1016/j.jclinepi.2025.111944
%T Use of artificial intelligence to support the assessment of the methodological quality of systematic reviews
%U https://pubmed.ncbi.nlm.nih.gov/40865587
%X INTRODUCTION: Published systematic reviews display an heterogeneous methodological quality, which can impact decision-making. Large language models (LLMs) can support and make the assessment of the methodological quality of systematic reviews more efficient, aiding in the incorporation of their evidence in guideline recommendations. We aimed to develop a LLM-based tool for supporting the assessment of the methodological quality of systematic reviews. METHODS: We assessed the performance of eight large language models (LLMs) in evaluating the methodological quality of systematic reviews. In particular, we provided 100 systematic reviews for eight LLMs (five base models and three fine-tuned models) to evaluate their methodological quality based on a 27-item validated tool (ReMarQ). The fine-tuned models had been trained with a different sample of 300 manually assessed systematic reviews. We compared the answers provided by LLMs with those independently provided by human reviewers, computing the accuracy, kappa coefficient and F1-score for this comparison. RESULTS: The best performing LLM was a fine-tuned GPT-3.5 model (mean accuracy=96.5% [95%CI=89.9-100%]; mean kappa coefficient=0.90 [95%CI=0.71-1.00]; mean F1-score=0.91 [95%CI=0.83-1.00]). This model displayed an accuracy >80% and a kappa coefficient >0.60 for all individual items. When we made this LLM assess 60 times the same set of systematic reviews, answers to 18 of 27 items were always consistent (i.e., were always the same) and only 11% of assessed systematic reviews showed inconsistency. CONCLUSION: Overall, LLMs have the potential to accurately support the assessment of the methodological quality of systematic reviews based on a validated tool comprising dichotomous items. - Protocol: Scoping review of the association between complementary feeding, growth, and immune health in infants and toddlers-An EAACI guideline paper. Venter, Carina; Alonso-Coello, Pablo; Beltran, Jessica; Bracchiglione, Javier; Fernandez-Saenz, Karina; Riera, Pau; Solà, Ivan; Arasi, Stefania; Berni Canani, Roberto; Fleischer, David; Eguíluz-Gracia, Ibon; Meyer, Rosan; Roberts, Graham; Roth-Walter, Franziska; Santos, Alexandra F; Skypala, Isabel; Smith, Peter K; Sokolowska, Milena; Torres, Maria J; Vassilopoulou, Emilia; Walter, Jens; O’Mahony, Liam (2025). 36(8) e70145-e70145.The European Academy of Allergy and Clinical Immunology (EAACI) is currently developing guidelines on immunomodulation and nutrition. To inform these recommendations, a scoping review will be conducted to synthesize and map the available empirical evidence on how complementary feeding affects immune health in infants and toddlers to explore the association between complementary feeding during the first year of life and immune health outcomes in children up to 3 years of age. The scoping review will be conducted using the Preferred Reporting Items for Systematic Reviews and Meta-analysis Scoping Review Extension for scoping reviews (PRISMA-ScR) guidelines. We have developed inclusion criteria using the PCC (Population, Concept and Context) format: the population will include healthy infants; the concept refers to specific factors related to introduction of complementary feeding; and the context will focus on studies conducted in settings representative of everyday nutrition and feeding practices for infants and toddlers. Evidence sources include systematic reviews. We will search in MEDLINE and Epistemonikos. Data will be extracted using a standardized form developed in REDCap, and the findings will be synthesized narratively. Only published literature will be included in this systematic review. Therefore, no ethical approval is required. The final review paper will be published in a peer-reviewed journal. OSF registration DOI: 10.17605/OSF.IO/T5F8.
@article{venter2025protocol,
abstract = {The European Academy of Allergy and Clinical Immunology (EAACI) is currently developing guidelines on immunomodulation and nutrition. To inform these recommendations, a scoping review will be conducted to synthesize and map the available empirical evidence on how complementary feeding affects immune health in infants and toddlers to explore the association between complementary feeding during the first year of life and immune health outcomes in children up to 3 years of age. The scoping review will be conducted using the Preferred Reporting Items for Systematic Reviews and Meta-analysis Scoping Review Extension for scoping reviews (PRISMA-ScR) guidelines. We have developed inclusion criteria using the PCC (Population, Concept and Context) format: the population will include healthy infants; the concept refers to specific factors related to introduction of complementary feeding; and the context will focus on studies conducted in settings representative of everyday nutrition and feeding practices for infants and toddlers. Evidence sources include systematic reviews. We will search in MEDLINE and Epistemonikos. Data will be extracted using a standardized form developed in REDCap, and the findings will be synthesized narratively. Only published literature will be included in this systematic review. Therefore, no ethical approval is required. The final review paper will be published in a peer-reviewed journal. OSF registration DOI: 10.17605/OSF.IO/T5F8.},
address = {England},
author = {Venter, Carina and Alonso-Coello, Pablo and Beltran, Jessica and Bracchiglione, Javier and Fernandez-Saenz, Karina and Riera, Pau and Solà, Ivan and Arasi, Stefania and Berni Canani, Roberto and Fleischer, David and Eguíluz-Gracia, Ibon and Meyer, Rosan and Roberts, Graham and Roth-Walter, Franziska and Santos, Alexandra F and Skypala, Isabel and Smith, Peter K and Sokolowska, Milena and Torres, Maria J and Vassilopoulou, Emilia and Walter, Jens and O'Mahony, Liam},
journal = {Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology},
keywords = {evisap},
month = {aug},
number = 8,
pages = {e70145--e70145},
title = {Protocol: Scoping review of the association between complementary feeding, growth, and immune health in infants and toddlers-An EAACI guideline paper},
volume = 36,
year = 2025
}%0 Journal Article
%1 venter2025protocol
%A Venter, Carina
%A Alonso-Coello, Pablo
%A Beltran, Jessica
%A Bracchiglione, Javier
%A Fernandez-Saenz, Karina
%A Riera, Pau
%A Solà, Ivan
%A Arasi, Stefania
%A Berni Canani, Roberto
%A Fleischer, David
%A Eguíluz-Gracia, Ibon
%A Meyer, Rosan
%A Roberts, Graham
%A Roth-Walter, Franziska
%A Santos, Alexandra F
%A Skypala, Isabel
%A Smith, Peter K
%A Sokolowska, Milena
%A Torres, Maria J
%A Vassilopoulou, Emilia
%A Walter, Jens
%A O'Mahony, Liam
%C England
%D 2025
%J Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology
%N 8
%P e70145--e70145
%R 10.1111/pai.70145
%T Protocol: Scoping review of the association between complementary feeding, growth, and immune health in infants and toddlers-An EAACI guideline paper
%U https://pubmed.ncbi.nlm.nih.gov/40747578
%V 36
%X The European Academy of Allergy and Clinical Immunology (EAACI) is currently developing guidelines on immunomodulation and nutrition. To inform these recommendations, a scoping review will be conducted to synthesize and map the available empirical evidence on how complementary feeding affects immune health in infants and toddlers to explore the association between complementary feeding during the first year of life and immune health outcomes in children up to 3 years of age. The scoping review will be conducted using the Preferred Reporting Items for Systematic Reviews and Meta-analysis Scoping Review Extension for scoping reviews (PRISMA-ScR) guidelines. We have developed inclusion criteria using the PCC (Population, Concept and Context) format: the population will include healthy infants; the concept refers to specific factors related to introduction of complementary feeding; and the context will focus on studies conducted in settings representative of everyday nutrition and feeding practices for infants and toddlers. Evidence sources include systematic reviews. We will search in MEDLINE and Epistemonikos. Data will be extracted using a standardized form developed in REDCap, and the findings will be synthesized narratively. Only published literature will be included in this systematic review. Therefore, no ethical approval is required. The final review paper will be published in a peer-reviewed journal. OSF registration DOI: 10.17605/OSF.IO/T5F8.