Browsing by Author "Couto, Mariana"
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- Adult asthma scores—development and validation of multivariable scores to identify asthma in surveysPublication . Sá-Sousa, Ana; Pereira, Ana Margarida; Almeida, Rute; Araújo, Luís; Couto, Mariana; Jacinto, Tiago; Freitas, Alberto; Bousquet, Jean; Fonseca, João A.One of the questions in epidemiology is the identification of adult asthma in studies. To develop and validate multivariable scores for adult asthma identification in epidemiological studies and to explore cutoffs to rule in/rule out asthma, compared with asthma diagnosed by a physician after clinical examination and diagnostic tests, blinded to the self-administered questions. We analyzed data (n = 711 adults) from a nationwide population-based study. The predictors were self-administered questions identified in a literature review (the Adult Asthma Epidemiological Score [A2 score]) and from the Global Allergy and Asthma Network of Excellence (GA2LEN) questionnaire (the GA2LEN Asthma Epidemiological Score [GA2LEN score]). Scores were developed using exploratory factor analysis. Internal consistency, discriminative power, and diagnostic accuracy were assessed. The A2 score comprises 8 questions (including “Did a physician confirm you had asthma?”) and the GA2LEN score comprises 6 questions (including “Have you ever had asthma?”). Both had high Cronbach α (0.89 and 0.85, respectively, for the A2 score and the GA2LEN score) and good area under the receiver-operating characteristic curve (90.4% and 89.0%). The scoring is the sum of positive answers. Asthma is present (rule in) for scores of 4 or more (specificity, 99.2%; PPV, 93.3% and 91.7%; accuracy, 89.4% and 87.4%, respectively, for the A2 score and the GA2LEN score). Asthma is excluded (rule out) for A2 scores of 0 to 1 and a GA2LEN score of 0 (sensitivity, 93.1%; NPV, 98.2% and 98.0%; accuracy 89.4% and 82.8%, respectively, for the A2 score and the GA2LEN score). These practical scores can be used to rule in/rule out asthma in epidemiological studies and clinical screening/triage settings. They may help physicians in primary care or other specialties to screen patients with asthma using a simple score with a high level of discrimination and to identify the best candidates to be referred for a diagnostic workup. Moreover, their use may contribute to reducing the inconsistencies of operational definitions of asthma across studies and surveys.
- Avaliação objetiva no diagnóstico de broncoconstrição induzida pelo exercícioPublication . Couto, Mariana; Jacinto, TiagoA broncoconstrição induzida pelo exercício (BIE) define -se como o aumento transitório da resistência das vias aéreas resultante da obstrução brônquica que ocorre após esforço físico. É uma entidade clínica muito frequente, que importa diagnosticar corretamente de forma a prevenir a resposta broncoconstritora ao esforço, de modo a que esta não constitua restrição à escolha de uma atividade física ou limitação ao nível do desempenho desportivo. A história clínica pode ser extremamente sugestiva, porém, são frequentes tanto situações de sobrediagnóstico de asma como de subdiagnóstico de BIE. Assim sendo, e face à importância do diagnóstico exato, pretende -se com o presente artigo apresentar os exames complementares no diagnóstico de BIE, abordando a sua utilidade e aplicabilidade.
- Combined image-based approach for monitoring the adherence to inhaled medicationsPublication . Vieira-Marques, Pedro; Teixeira, João Fonseca; Valente, José; Pinho, Bernardo; Guedes, Rui; Almeida, Rute; Jácome, Cristina; Pereira, Ana; Jacinto, Tiago; Amaral, Rita; Gonçalves, Ivânia; Sousa, Ana Sá; Couto, Mariana; Magalhães, Manuel; Bordalo, Diana; Silva, Luís Nogueira; Fonseca, J. AlmeidaThe adherence to inhaled controller medications is of critical importance to achieve good clinical results in patients with chronic respiratory diseases. To objectively verify the adherence, a detection tool was previously developed and integrated in the mobile application InspirerMundi, based on image processing methods. In this work, a new approach for enhanced adherence verification was developed. In a first phase template matching is employed to confirm the inhaler positioning and to locate the dose counter. In a second phase Google ML Kit framework is used for the detection of each numerical dose in the dose counter. The proposed approach was validated through a new detection tool pilot implementation, using a set of images collected by patients using the application in their daily life. Performance of each of the two phases was evaluated for a set of commonly used inhaler devices. Promising results were achieved showing the potential of mobile embedded sensors without the need for external devices.
- Correlation between rhinomanometry and spirometry parameters in 971 adultsPublication . Gonçalves, Ivânia; Jacinto, Tiago; Amaral, Rita; Pereira, Ana M.; Araújo, Luís M.; Couto, Mariana; Fonseca, João A.; Amaral, RitaThere is a lack of published studies about the association between rhinomanometry and spirometry results. Some studies have shown a moderate correlation between spirometry parameters and other nasal objective measures such as Peak Nasal Inspiratory Flow (PNIF). We aimed to study the correlation between rhinomanometry and spirometry parameters.
- Feasibility and acceptability of an asthma app to monitor medication adherence: mixed methods studyPublication . Jácome, Cristina; Almeida, Rute; Pereira, Ana Margarida; Amaral, Rita; Mendes, Sandra; Alves-Correia, Magna; Vidal, Carmen; Freire, Sara López; Brea, Paula Méndez; Araújo, Luís; Couto, Mariana; Antolín-Amérigo, Darío; Caballer, Belén de la Hoz; Castro, Alicia Barra; Gonzalez-De-Olano, David; Bom, Ana Todo; Azevedo, João; Pinto, Paula Leiria; Pinto, Nicole; Neves, Ana Castro; Palhinha, Ana; Bom, Filipa Todo; Costa, Alberto; Loureiro, Cláudia Chaves; Santos, Lilia Maia; Arrobas, Ana; Valério, Margarida; Cardoso, João; Emiliano, Madalena; Gerardo, Rita; Rodrigues, José Carlos Cidrais; Oliveira, Georgeta; Carvalho, Joana; Mendes, Ana; Lozoya, Carlos; Santos, Natacha; Menezes, Fernando; Gomes, Ricardo; Câmara, Rita; Alves, Rodrigo Rodrigues; Moreira, Ana Sofia; Bordalo, Diana; Alves, Carlos; Ferreira, José Alberto; Lopes, Cristina; Silva, Diana; Vasconcelos, Maria João; Teixeira, Maria Fernanda; Ferreira-Magalhães, Manuel; Taborda-Barata, Luís; Cálix, Maria José; Alves, Adelaide; Fonseca, João AlmeidaPoor medication adherence is a major challenge in asthma, and objective assessment of inhaler adherence is needed. The InspirerMundi app aims to monitor adherence while providing a positive experience through gamification and social support. This study aimed to evaluate the feasibility and acceptability of the InspirerMundi app to monitor medication adherence in adolescents and adults with persistent asthma (treated with daily inhaled medication). A 1-month mixed method multicenter observational study was conducted in 26 secondary care centers from Portugal and Spain. During an initial face-to-face visit, physicians reported patients’ asthma therapeutic plan in a structured questionnaire. During the visits, patients were invited to use the app daily to register their asthma medication intakes. A scheduled intake was considered taken when patients registered the intake (inhaler, blister, or other drug formulation) by using the image-based medication detection tool. At 1 month, patients were interviewed by phone, and app satisfaction was assessed on a 1 (low) to 5 (high) scale. Patients were also asked to point out the most and least preferred app features and make suggestions for future app improvements. A total of 107 patients (median 27 [P25-P75 14-40] years) were invited, 92.5% (99/107) installed the app, and 73.8% (79/107) completed the 1-month interview. Patients interacted with the app a median of 9 (P25-P75 1-24) days. At least one medication was registered in the app by 78% (77/99) of patients. A total of 53% (52/99) of participants registered all prescribed inhalers, and 34% (34/99) registered the complete asthma therapeutic plan. Median medication adherence was 75% (P25-P75 25%-90%) for inhalers and 82% (P25-P75 50%-94%) for other drug formulations. Patients were globally satisfied with the app, with 75% (59/79) scoring ≥4,; adherence monitoring, symptom monitoring, and gamification features being the most highly scored components; and the medication detection tool among the lowest scored. A total of 53% (42/79) of the patients stated that the app had motivated them to improve adherence to inhaled medication and 77% (61/79) would recommend the app to other patients. Patient feedback was reflected in 4 major themes: medication-related features (67/79, 85%), gamification and social network (33/79, 42%), symptom monitoring and physician communication (21/79, 27%), and other aspects (16/79, 20%). The InspirerMundi app was feasible and acceptable to monitor medication adherence in patients with asthma. Based on patient feedback and to increase the registering of medications, the therapeutic plan registration and medication detection tool were redesigned. Our results highlight the importance of patient participation to produce a patient-centered and engaging mHealth asthma app.
- mINSPIRERS – Estudo da exequibilidade de uma aplicação móvel para medição e melhoria da adesão à medicação inalada de controlo em adolescentes e adultos com asma persistente. Protocolo de um estudo observacional multicêntricoPublication . Jácome, Cristina; Guedes, Rui; Almeida, Rute; Teixeira, João Fonseca; Pinho, Bernardo; Vieira -Marques, Pedro; Vilaça, Rita; Fernandes, José; Ferreira, Ana; Couto, Mariana; Jacinto, Tiago; Pereira, Altamiro da Costa; Fonseca, João AlmeidaA má adesão à medicação inalada é um dos principais fatores que limita a melhoria clínica nos doentes com asma. Desta forma, é fundamental o desenvolvimento de ferramentas de monitorização de adesão à medicação objetivas e de fácil disseminação e a promoção de estratégias de adesão à medicação facilmente integráveis no dia a dia dos doentes. Os smartphones e jogos em comunidade virtual podem ter um papel relevante para a adoção de comportamentos promotores da saúde. Com bases nestes pressupostos foi desenvolvida a aplicação móvel InspirerMundi, com as suas componentes de monitorização, jogo e suporte por pares, para monitorizar e melhorar a adesão à medicação inalada de controlo em adolescentes e adultos com asma. O objetivo do estudo mINSPIRERS é avaliar a exequibilidade desta aplicação móvel. Estudo observacional prospetivo, multicêntrico composto por uma visita inicial e por três entrevistas telefónicas (após 1 semana, 1 mês e 4 meses) em cerca de 25 centros (Imunoalergologia, Pediatria, Pneumologia) de cuidados secundários em Portugal. Serão incluídos um mínimo de 20 adolescentes e 20 adultos com asma persistente. As principais dimensões avaliadas serão: adesão à medicação, crenças sobre a medicação, satisfação com o inalador, controlo da asma, exequibilidade técnica e padrões de utilização da aplicação, e a satisfação com a aplicação. A aplicação InspirerMundi pretende transformar a adesão à medicação inalada numa experiência positiva através de elementos de gamificação e suporte social, permitindo simultaneamente a monitorização verificada da adesão ao tratamento. É expectável que os resultados deste estudo contribuam não só para o aperfeiçoamento da aplicação InspirerMundi, mas também para informar o desenvolvimento de soluções mHealth e intervenções de melhoria da adesão à medicação em doentes com asma.
- Multidisciplinary development and initial validation of a clinical knowledge base on chronic respiratory diseases for mHealth decision support systemsPublication . Pereira, Ana Margarida; Jácome, Cristina; Jacinto, Tiago; Amaral, Rita; Pereira, Mariana; Sá-Sousa, Ana; Couto, Mariana; Vieira-Marques, Pedro; Martinho, Diogo; Vieira, Ana; Almeida, Ana; Martins, Constantino; Marreiros, Goreti; Freitas, Alberto; Almeida, Rute; Fonseca, João A.Most mobile health (mHealth) decision support systems currently available for chronic obstructive respiratory diseases (CORDs) are not supported by clinical evidence or lack clinical validation. The development of the knowledge base that will feed the clinical decision support system is a crucial step that involves the collection and systematization of clinical knowledge from relevant scientific sources and its representation in a human-understandable and computer-interpretable way. This work describes the development and initial validation of a clinical knowledge base that can be integrated into mHealth decision support systems developed for patients with CORDs. A multidisciplinary team of health care professionals with clinical experience in respiratory diseases, together with data science and IT professionals, defined a new framework that can be used in other evidence-based systems. The knowledge base development began with a thorough review of the relevant scientific sources (eg, disease guidelines) to identify the recommendations to be implemented in the decision support system based on a consensus process. Recommendations were selected according to predefined inclusion criteria: (1) applicable to individuals with CORDs or to prevent CORDs, (2) directed toward patient self-management, (3) targeting adults, and (4) within the scope of the knowledge domains and subdomains defined. Then, the selected recommendations were prioritized according to (1) a harmonized level of evidence (reconciled from different sources); (2) the scope of the source document (international was preferred); (3) the entity that issued the source document; (4) the operability of the recommendation; and (5) health care professionals’ perceptions of the relevance, potential impact, and reach of the recommendation. A total of 358 recommendations were selected. Next, the variables required to trigger those recommendations were defined (n=116) and operationalized into logical rules using Boolean logical operators (n=405). Finally, the knowledge base was implemented in an intelligent individualized coaching component and pretested with an asthma use case. Initial validation of the knowledge base was conducted internally using data from a population-based observational study of individuals with or without asthma or rhinitis. External validation of the appropriateness of the recommendations with the highest priority level was conducted independently by 4 physicians. In addition, a strategy for knowledge base updates, including an easy-to-use rules editor, was defined. Using this process, based on consensus and iterative improvement, we developed and conducted preliminary validation of a clinical knowledge base for CORDs that translates disease guidelines into personalized patient recommendations. The knowledge base can be used as part of mHealth decision support systems. This process could be replicated in other clinical areas.