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Browsing ESS - CAR - Artigos by Author "Almeida, Rute"
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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.
- Determinants of the use of health and fitness mobile apps by patients with asthma: secondary analysis of observational studiesPublication . Neves, Ana Luísa; Jácome, Cristina; Taveira-Gomes, Tiago; Pereira, Ana Margarida; Almeida, Rute; Amaral, Rita; Alves-Correia, Magna; Mendes, Sandra; Chaves-Loureiro, Cláudia; Valério, Margarida; Lopes, Cristina; Carvalho, Joana; Mendes, Ana; Ribeiro, Carmelita; Prates, Sara; Ferreira, José Alberto; Teixeira, Maria Fernanda; Branco, Joana; Santalha, Marta; Vasconcelos, Maria João; Lozoya, Carlos; Santos, Natacha; Cardia, Francisca; Moreira, Ana Sofia; Taborda-Barata, Luís; Pinto, Cláudia Sofia; Ferreira, Rosário; Silva, Pedro Morais; Ferreira, Tânia Monteiro; Câmara, Raquel; Lobo, Rui; Bordalo, Diana; Guimarães, Cristina; Santo, Maria Espírito; Oliveira, José Ferraz de; Augusto, Maria José Cálix; Gomes, Ricardo; Vieira, Inês; Silva, Sofia da; Marques, Maria; Cardoso, João; Morete, Ana; Aroso, Margarida; Cruz, Ana Margarida; Nunes, Carlos; Câmara, Rita; Rodrigues, Natalina; Abreu, Carmo; Albuquerque, Ana Luísa; Vieira, Claúdia; Santos, Carlos; Páscoa, Rosália; Chaves-Loureiro, Carla; Alves, Adelaide; Neves, Ângela; Marques, José Varanda; Reis, Bruno; Ferreira-Magalhães , Manuel; Fonseca, João AlmeidaHealth and fitness apps have potential benefits to improve self-management and disease control among patients with asthma. However, inconsistent use rates have been reported across studies, regions, and health systems. A better understanding of the characteristics of users and nonusers is critical to design solutions that are effectively integrated in patients’ daily lives, and to ensure that these equitably reach out to different groups of patients, thus improving rather than entrenching health inequities.
- Development and validation of a digital image processing-based pill detection tool for an oral medication self-monitoring systemPublication . Holtkötter, Jannis; Amaral, Rita; Almeida, Rute; Jácome, Cristina; Cardoso, Ricardo; Pereira, Ana; Pereira, Mariana; Chon, Ki H.; Fonseca, João AlmeidaLong-term adherence to medication is of critical importance for the successful management of chronic diseases. Objective tools to track oral medication adherence are either lacking, expensive, difficult to access, or require additional equipment. To improve medication adherence, cheap and easily accessible objective tools able to track compliance levels are necessary. A tool to monitor pill intake that can be implemented in mobile health solutions without the need for additional devices was developed. We propose a pill intake detection tool that uses digital image processing to analyze images of a blister to detect the presence of pills. The tool uses the Circular Hough Transform as a feature extraction technique and is therefore primarily useful for the detection of pills with a round shape. This pill detection tool is composed of two steps. First, the registration of a full blister and storing of reference values in a local database. Second, the detection and classification of taken and remaining pills in similar blisters, to determine the actual number of untaken pills. In the registration of round pills in full blisters, 100% of pills in gray blisters or blisters with a transparent cover were successfully detected. In the counting of untaken pills in partially opened blisters, 95.2% of remaining and 95.1% of taken pills were detected in gray blisters, while 88.2% of remaining and 80.8% of taken pills were detected in blisters with a transparent cover. The proposed tool provides promising results for the detection of round pills. However, the classification of taken and remaining pills needs to be further improved, in particular for the detection of pills with non-oval shapes.
- Disentangling the heterogeneity of allergic respiratory diseases by latent class analysis reveals novel phenotypesPublication . Amaral, Rita; Bousquet, Jean; Pereira, Ana M.; Araújo, Luís M.; Sá‐Sousa, Ana; Jacinto, Tiago; Almeida, Rute; Delgado, Luís; Fonseca, João A.Background Refined phenotyping of allergic diseases may unravel novel phenotypes. Conjunctivitis as an independent disorder has never been approached. Aim To identify distinct classes of allergic respiratory diseases using latent class analysis (LCA) and distinguish each class using classification and regression tree (CART) analysis. Methods Seven hundred and twenty‐eight adults from the Portuguese general population study ICAR had a structured medical interview combined with blood collection, skin prick tests, spirometry with bronchodilation, and exhaled nitric oxide. LCA was applied to 19 variables. The CART algorithm selected the most likely variables distinguishing LCA‐classes. Results A six‐class model was obtained. Class 1 (25%): nonallergic participants without bronchial or ocular symptoms. Classes 2 (22%) and 3 (11%): nasal and ocular (low levels) symptoms without nasal impairment, monosensitized (Class 2) or polysensitized (Class 3). Class 4 (13%): polysensitized participants with high levels of nasal and ocular symptoms, and nasal impairment. Classes 5 (16%) and 6 (14%): high level of nasal, bronchial and ocular symptoms with nasal impairment (non‐allergic or polysensitized, respectively). Participants in classes 5 and 6 had more bronchial exacerbations and unscheduled medical visits (P < 0.001). Ocular symptoms were significantly higher in classes with nasal impairment, compared to those without impairment (P < 0.001) or no nasal symptom (P < 0.001). CART highlighted ocular symptoms as the most relevant variable in distinguishing LCA‐classes. Conclusion Novel severe phenotypes of participants with co‐occurrence of ocular, nasal and bronchial symptoms, and exacerbation‐prone were identified. The tree algorithm showed the importance of the ocular symptoms in the expression of allergic diseases phenotypes.
- 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.
- FRASIS - Monitorização da função respiratória na asma utilizando os sensores integrados do smartphonePublication . Almeida, Rute; Amaral, Rita; Jacinto, Tiago; Amaral, RitaO projeto FRASIS pretende desenvolver, integrar e validar um conjunto de tecnologias de informação e comunicação (TIC) de saúde móvel (mHealth) para a monitorização remota da função respiratória na asma, usando apenas o smartphone e os seus sensores integrados. As ferramentas atuais de automonitorização e autogestão da asma são complexas, pouco atrativas, não individualizadas e obrigam os profissionais de saúde a análises trabalhosas, desmotivando a sua utilização e integração nos cuidados de saúde. Existe uma clara oportunidade para soluções tecnológicas avançadas económicas para os doentes e atrativas para os diferentes intervenientes do setor da saúde. A estratégia do FRASIS é desenvolver e integrar tecnologias de automonitorização e autogestão sem a necessidade de dispositivos adicionais, fazendo uso da presença dos smartphones na vida diária e da sua futura integração com sensores ambientais em cidades inteligentes. O FRASIS pretende assim contribuir para a concretização dos princípios da saúde digital e inovar nas tecnologias de monitorização remota da função respiratória. Espera - se que os resultados do FRASIS tenham um impacto relevante na inovação em serviços de saúde para a asma, com maior envolvimento e capacitação do doente, fornecendo informação prospetiva e de qualidade para uma melhor decisão clínica, tornando assim os cuidados de saúde mais eficientes e sustentáveis.
- 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.
- Profiling persistent asthma phenotypes in adolescents: A longitudinal diagnostic evaluation from the INSPIRERS StudiesPublication . Amaral, Rita; Jácome, Cristina; Almeida, Rute; Pereira, Ana M.; Alves-Correia, Magna; Mendes, Sandra; Rodrigues, José C.; Carvalho, Joana; Araújo, Luís; Costa, Alberto; Silva, Armandina; Teixeira, Maria F.; Ferreira-Magalhães, Manuel; Alves, Rodrigo R.; Moreira, Ana S.; Fernandes, Ricardo M.; Ferreira, Rosário; Pinto, Paula L.; Neuparth, Nuno; Bordalo, Diana; Bom, Ana T.; Cálix, Maria J.; Ferreira, Tânia; Gomes, Joana; Vidal, Carmen; Mendes, Ana; Vasconcelos, Maria J.; Silva, Pedro M.; Ferraz, José; Morête, Ana; Pinto, Claúdia S.; Santos, Natacha; Loureiro, Carla C.; Câmara, Raquel; Vieira, Inês; Silva, Sofia D.; Silva, Eurico; Rodrigues, Natalina; Fonseca, João A.We aimed to identify persistent asthma phenotypes among adolescents and to evaluate longitudinally asthma-related outcomes across phenotypes. Adolescents (13–17 years) from the prospective, observational, and multicenter INSPIRERS studies, conducted in Portugal and Spain, were included (n = 162). Latent class analysis was applied to demographic, environmental, and clinical variables, collected at a baseline medical visit. Longitudinal differences in clinical variables were assessed at a 4-month follow-up telephone contact (n = 128). Three classes/phenotypes of persistent asthma were identified. Adolescents in class 1 (n = 87) were highly symptomatic at baseline and presented the highest number of unscheduled healthcare visits per month and exacerbations per month, both at baseline and follow-up. Class 2 (n = 32) was characterized by female predominance, more frequent obesity, and uncontrolled upper/lower airways symptoms at baseline. At follow-up, there was a significant increase in the proportion of controlled lower airway symptoms (p < 0.001). Class 3 (n = 43) included mostly males with controlled lower airways symptoms; at follow-up, while keeping symptom control, there was a significant increase in exacerbations/month (p = 0.015). We have identified distinct phenotypes of persistent asthma in adolescents with different patterns in longitudinal asthma-related outcomes, supporting the importance of profiling asthma phenotypes in predicting disease outcomes that might inform targeted interventions and reduce future risk.
- Symptoms of anxiety and depression in patients with persistent asthma: a cross-sectional analysis of the INSPIRERS studiesPublication . Cunha, Mafalda Simões; Amaral, Rita; Pereira, Ana Margarida; Almeida, Rute; Alves-Correia, Magna; Loureiro, Cláudia Chaves; Lopes, Cristina; Carvalho, Joana; Ribeiro, Carmelita; Vidal, Carmen; Antolín-Amérigo, Dario; Pinto, Diana; Ferreira-Magalhães, Manuel; Vasconcelos, Maria João; Lozoya, Carlos; Santos, Natacha; Cardia, Francisca; Taborda-Barata, Luís; Ferreira, Rosário; Silva, Pedro Morais; Ferreira, Tania Monteiro; Câmara, Raquel; Silva, Eurico; Bordalo, Diana; Guimarães, Cristina; Calix, Maria José; Silva, Sofia da; Marques, Maria Luís; Morete, Ana; Nunes, Carlos; Vieira, Cláudia; Páscoa, Rosália; Alves, Adelaide; Marques, José Varanda; Reis, Bruno; Monteiro, Luís; Monteiro, Rosário; Cepa, Margarida; Valentim, Bruno; Coelho, Daniela Sousa; Fernandes, Sara; Meireles, Patrícia; Aguiar, Margarida Abreu; Mourão, Ana Rita; Fonseca, João A; Jácome, CristinaAnxiety and depression are relevant comorbidities in asthma, but, in Portugal and Spain, data on this topic are scarce. We assessed, in patients with asthma, the frequency of anxiety and depression using the Hospital Anxiety and Depression Scale (HADS) and the European Quality of Life Five Dimension Questionnaire (EQ-5D); the level of agreement between these questionnaires, and the factors associated with these symptoms. This is a secondary analysis of the INSPIRERS studies. A total of 614 adolescents and adults with persistent asthma (32.6±16.9 years, 64.7% female) were recruited from 30 primary care centres and 32 allergy, pulmonology and paediatric clinics. Demographic and clinical characteristics, HADS and EQ-5D were collected. A score ≥8 on Hospital Anxiety and Depression Scale-Anxiety/Hospital Anxiety and Depression Scale-Depression or a positive answer to EQ-5D item 5 indicated the presence of these symptoms. Agreement was determined by Cohen’s kappa. Two multivariable logistic regressions were built. According to HADS, 36% of the participants had symptoms of anxiety and 12% of depression. According to EQ-5D, 36% of the participants had anxiety/depression. The agreement between questionnaires in identifying anxiety/depression was moderate (k=0.55, 95% CI 0.48 to 0.62). Late asthma diagnosis, comorbidities and female gender were predictors of anxiety/depression, while better asthma control, health-related quality of life and perception of health were associated with lower odds for anxiety/depression. At least 1/3 of the patients with persistent asthma experience symptoms of anxiety/depression, showing the relevance of screening these disorders in patients with asthma. EQ-5D and HADS questionnaires showed a moderate agreement in the identification of anxiety/depression symptoms. The identified associated factors need to be further investigated in long-term studies.