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Acin P, Luque S, Subirana I, Vila J, Fernández-Sala X, Guelar A, de Antonio-Cuscó M, Arrieta I, Knobel H. Development and Validation of a Risk Score for Predicting Non-Adherence to Antiretroviral Therapy. AIDS Res Hum Retroviruses 2023; 39:533-540. [PMID: 37294209 PMCID: PMC10561744 DOI: 10.1089/aid.2022.0147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023] Open
Abstract
Several patient-related factors that influence adherence to antiretroviral therapy (ART) have been described. However, studies that propose a practical and simple tool to predict nonadherence after ART initiation are still scarce. In this study, we develop and validate a score to predict the risk of nonadherence in people starting ART. The model/score was developed and validated using a cohort of people living with HIV starting ART at the Hospital del Mar, Barcelona, between 2012 and 2015 (derivation cohort) and between 2016 and 2018 (validation cohort),. Adherence was evaluated every 2 months using both pharmacy refills and patient self-reports. Nonadherence was defined as taking <90% of the prescribed dose and/or ART interruption for more than 1 week. Predictive factors for nonadherence were identified by logistic regression. Beta coefficients were used to develop a predictive score. Optimal cutoffs were identified using the bootstrapping methodology, and performance was evaluated with the C statistic. Our study is based on 574 patients: 349 in the derivation cohort and 225 in the validation cohort. A total of 104 patients (29.8%) of the derivation cohort were nonadherent. Nonadherence predictors were patient prejudgment; previous medical appointment failures; cultural and/or idiomatic barriers; heavy alcohol use; substance abuse; unstable housing; and severe mental illness. The cutoff point (receiver operating characteristic curve) for nonadherence was 26.3 (sensitivity 0.87 and specificity 0.86). The C statistic (95% confidence interval) was 0.91 (0.87-0.94). These results were consistent with those predicted by the score in the validation cohort. This easy-to-use, highly sensitive, and specific tool could be easily used to identify patients at highest risk for nonadherence, thus allowing resource optimization and achieving optimal treatment goals.
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Affiliation(s)
- Pablo Acin
- Pharmacy Service Colisée Barcelona Isabel Roig, Barcelona, Spain
| | - Sonia Luque
- Pharmacy Service Hospital del Mar, Infectious Pathology and Antimicrobials Research Group, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Isaac Subirana
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - Joan Vila
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | | | - Ana Guelar
- Department of Medicine, Infectious Diseases Service Hospital del Mar, Barcelona, Spain
| | | | - Itziar Arrieta
- Department of Medicine, Infectious Diseases Service Hospital del Mar, Barcelona, Spain
| | - Hernando Knobel
- Infectious Diseases Service Hospital del Mar, Barcelona, Spain
- XECS-Universitat Pompeu Fabra Barcelona, Barcelona, Spain
- CIBER of Infectious Diseases (CIBERINFEC CB21/13/00002), Institute of Health Carlos III, Madrid, Spain
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Kwan YH, Weng SD, Loh DHF, Phang JK, Oo LJY, Blalock DV, Chew EH, Yap KZ, Tan CYK, Yoon S, Fong W, Østbye T, Low LL, Bosworth HB, Thumboo J. Measurement Properties of Existing Patient-Reported Outcome Measures on Medication Adherence: Systematic Review. J Med Internet Res 2020; 22:e19179. [PMID: 33034566 PMCID: PMC7584986 DOI: 10.2196/19179] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Revised: 07/05/2020] [Accepted: 08/08/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Medication adherence is essential for improving the health outcomes of patients. Various patient-reported outcome measures (PROMs) have been developed to measure medication adherence in patients. However, no study has summarized the psychometric properties of these PROMs to guide selection for use in clinical practice or research. OBJECTIVE This study aims to evaluate the quality of the PROMs used to measure medication adherence. METHODS This study was guided by the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) guidelines. Relevant articles were retrieved from the EMBASE, PubMed, Cochrane Library, Web of Science, and CINAHL (Cumulative Index to Nursing and Allied Health Literature) databases. The PROMs were then evaluated based on the COnsensus-based Standards for the selection of health Measurement Instruments (COSMIN) guidelines. RESULTS A total of 121 unique medication adherence PROMs from 214 studies were identified. Hypotheses testing for construct validity and internal consistency were the most frequently assessed measurement properties. PROMs with at least a moderate level of evidence for ≥5 measurement properties include the Adherence Starts with Knowledge 20, Compliance Questionnaire-Rheumatology, General Medication Adherence Scale, Hill-Bone Scale, Immunosuppressant Therapy Barrier Scale, Medication Adherence Reasons Scale (MAR-Scale) revised, 5-item Medication Adherence Rating Scale (MARS-5), 9-item MARS (MARS-9), 4-item Morisky Medication Adherence Scale (MMAS-4), 8-item MMAS (MMAS-8), Self-efficacy for Appropriate Medication Adherence Scale, Satisfaction with Iron Chelation Therapy, Test of Adherence to Inhalers, and questionnaire by Voils. The MAR-Scale revised, MMAS-4, and MMAS-8 have been administered electronically. CONCLUSIONS This study identified 121 PROMs for medication adherence and provided synthesized evidence for the measurement properties of these PROMs. The findings from this study may assist clinicians and researchers in selecting suitable PROMs to assess medication adherence.
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Affiliation(s)
- Yu Heng Kwan
- Program in Health Services and Systems Research,, Duke-NUS Medical School, Singapore, Singapore
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Si Dun Weng
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Dionne Hui Fang Loh
- PULSES Centre Grant, SingHealth Regional Health System, Singapore, Singapore
| | - Jie Kie Phang
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore
| | - Livia Jia Yi Oo
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Dan V Blalock
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, NC, United States
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Eng Hui Chew
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Kai Zhen Yap
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Corrinne Yong Koon Tan
- Pharmacy Transformation Office, National Healthcare Group Pharmacy, Singapore, Singapore
| | - Sungwon Yoon
- Program in Health Services and Systems Research,, Duke-NUS Medical School, Singapore, Singapore
- PULSES Centre Grant, SingHealth Regional Health System, Singapore, Singapore
| | - Warren Fong
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Truls Østbye
- Program in Health Services and Systems Research,, Duke-NUS Medical School, Singapore, Singapore
| | - Lian Leng Low
- PULSES Centre Grant, SingHealth Regional Health System, Singapore, Singapore
- Department of Family Medicine and Continuing Care, Singapore General Hospital, Singapore, Singapore
- Post Acute and Continuing Care, Outram Community Hospital, Singapore, Singapore
| | - Hayden Barry Bosworth
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, NC, United States
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
- Department of Population Health Sciences, Duke University Medical Center, Durham, NC, United States
- School of Nursing, Duke University Medical Center, Durham, NC, United States
| | - Julian Thumboo
- Program in Health Services and Systems Research,, Duke-NUS Medical School, Singapore, Singapore
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore
- NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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Kwan YH, Oo LJY, Loh DHF, Phang JK, Weng SD, Blalock DV, Chew EH, Yap KZ, Tan CYK, Yoon S, Fong W, Østbye T, Low LL, Bosworth HB, Thumboo J. Development of an Item Bank to Measure Medication Adherence: Systematic Review. J Med Internet Res 2020; 22:e19089. [PMID: 33030441 PMCID: PMC7582150 DOI: 10.2196/19089] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 06/12/2020] [Accepted: 06/14/2020] [Indexed: 02/06/2023] Open
Abstract
Background Medication adherence is important in managing the progression of chronic diseases. A promising approach to reduce cognitive burden when measuring medication adherence lies in the use of computer‐adaptive tests (CATs) or in the development of shorter patient-reported outcome measures (PROMs). However, the lack of an item bank currently hampers this progress. Objective We aim to develop an item bank to measure general medication adherence. Methods Using the preferred reporting items for systematic review and meta-analysis (PRISMA), articles published before October 2019 were retrieved from PubMed, Embase, CINAHL, the Cochrane Library, and Web of Science. Items from existing PROMs were classified and selected (“binned” and “winnowed”) according to standards published by the Patient-Reported Outcomes Measurement Information System (PROMIS) Cooperative Group. Results A total of 126 unique PROMs were identified from 213 studies in 48 countries. Items from the literature review (47 PROMs with 579 items for which permission has been obtained) underwent binning and winnowing. This resulted in 421 candidate items (77 extent of adherence and 344 reasons for adherence). Conclusions We developed an item bank for measuring general medication adherence using items from validated PROMs. This will allow researchers to create new PROMs from selected items and provide the foundation to develop CATs.
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Affiliation(s)
- Yu Heng Kwan
- Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.,Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Livia Jia Yi Oo
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Dionne Hui Fang Loh
- PULSES Centre Grant, SingHealth Regional Health System, Singapore, Singapore
| | - Jie Kie Phang
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore
| | - Si Dun Weng
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Dan V Blalock
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, NC, United States.,Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Eng Hui Chew
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Kai Zhen Yap
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Corrinne Yong Koon Tan
- Pharmacy Transformation Office, National Healthcare Group Pharmacy, Singapore, Singapore
| | - Sungwon Yoon
- Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.,PULSES Centre Grant, SingHealth Regional Health System, Singapore, Singapore
| | - Warren Fong
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore.,NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Truls Østbye
- Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Lian Leng Low
- PULSES Centre Grant, SingHealth Regional Health System, Singapore, Singapore.,Department of Family Medicine and Continuing Care, Singapore General Hospital, Singapore, Singapore.,Post Acute and Continuing Care, Outram Community Hospital, Singapore, Singapore
| | - Hayden Barry Bosworth
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, NC, United States.,Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States.,School of Nursing, Duke University Medical Center, Durham, NC, United States.,Department of Population Health Sciences, Duke University Medical Center, Durham, NC, United States
| | - Julian Thumboo
- Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.,Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore.,NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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Jácome C, Pereira AM, Almeida R, Ferreira-Magalhaes M, Couto M, Araujo L, Pereira M, Correia MA, Loureiro CC, Catarata MJ, Maia Santos L, Pereira J, Ramos B, Lopes C, Mendes A, Cidrais Rodrigues JC, Oliveira G, Aguiar AP, Afonso I, Carvalho J, Arrobas A, Coutinho Costa J, Dias J, Todo Bom A, Azevedo J, Ribeiro C, Alves M, Leiria Pinto P, Neuparth N, Palhinha A, Gaspar Marques J, Pinto N, Martins P, Todo Bom F, Alvarenga Santos M, Gomes Costa A, Silva Neto A, Santalha M, Lozoya C, Santos N, Silva D, Vasconcelos MJ, Taborda-Barata L, Carvalhal C, Teixeira MF, Alves RR, Moreira AS, Sofia Pinto C, Morais Silva P, Alves C, Câmara R, Coelho D, Bordalo D, Fernandes RM, Ferreira R, Menezes F, Gomes R, Calix MJ, Marques A, Cardoso J, Emiliano M, Gerardo R, Nunes C, Câmara R, Ferreira JA, Carvalho A, Freitas P, Correia R, Fonseca JA. Patient-physician discordance in assessment of adherence to inhaled controller medication: a cross-sectional analysis of two cohorts. BMJ Open 2019; 9:e031732. [PMID: 31699737 PMCID: PMC6858182 DOI: 10.1136/bmjopen-2019-031732] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE We aimed to compare patient's and physician's ratings of inhaled medication adherence and to identify predictors of patient-physician discordance. DESIGN Baseline data from two prospective multicentre observational studies. SETTING 29 allergy, pulmonology and paediatric secondary care outpatient clinics in Portugal. PARTICIPANTS 395 patients (≥13 years old) with persistent asthma. MEASURES Data on demographics, patient-physician relationship, upper airway control, asthma control, asthma treatment, forced expiratory volume in one second (FEV1) and healthcare use were collected. Patients and physicians independently assessed adherence to inhaled controller medication during the previous week using a 100 mm Visual Analogue Scale (VAS). Discordance was defined as classification in distinct VAS categories (low 0-50; medium 51-80; high 81-100) or as an absolute difference in VAS scores ≥10 mm. Correlation between patients' and physicians' VAS scores/categories was explored. A multinomial logistic regression identified the predictors of physician overestimation and underestimation. RESULTS High inhaler adherence was reported both by patients (median (percentile 25 to percentile 75) 85 (65-95) mm; 53% VAS>80) and by physicians (84 (68-95) mm; 53% VAS>80). Correlation between patient and physician VAS scores was moderate (rs=0.580; p<0.001). Discordance occurred in 56% of cases: in 28% physicians overestimated adherence and in 27% underestimated. Low adherence as assessed by the physician (OR=27.35 (9.85 to 75.95)), FEV1 ≥80% (OR=2.59 (1.08 to 6.20)) and a first appointment (OR=5.63 (1.24 to 25.56)) were predictors of underestimation. An uncontrolled asthma (OR=2.33 (1.25 to 4.34)), uncontrolled upper airway disease (OR=2.86 (1.35 to 6.04)) and prescription of short-acting beta-agonists alone (OR=3.05 (1.15 to 8.08)) were associated with overestimation. Medium adherence as assessed by the physician was significantly associated with higher risk of discordance, both for overestimation and underestimation of adherence (OR=14.50 (6.04 to 34.81); OR=2.21 (1.07 to 4.58)), while having a written action plan decreased the likelihood of discordance (OR=0.25 (0.12 to 0.52); OR=0.41 (0.22 to 0.78)) (R2=44%). CONCLUSION Although both patients and physicians report high inhaler adherence, discordance occurred in half of cases. Implementation of objective adherence measures and effective communication are needed to improve patient-physician agreement.
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Affiliation(s)
- Cristina Jácome
- Center for Health Technology and Services Research (CINTESIS), Faculty of Medicine, University of Porto (FMUP), Porto, Portugal
| | - Ana Margarida Pereira
- Center for Health Technology and Services Research (CINTESIS), Faculty of Medicine, University of Porto (FMUP), Porto, Portugal
- Immunoalergology, CUF-Porto Hospital and Institute, Porto, Portugal
| | - Rute Almeida
- Center for Health Technology and Services Research (CINTESIS), Faculty of Medicine, University of Porto (FMUP), Porto, Portugal
| | - Manuel Ferreira-Magalhaes
- Center for Health Technology and Services Research (CINTESIS), Faculty of Medicine, University of Porto (FMUP), Porto, Portugal
- Serviço de Pediatria, Centro Materno Infantil do Norte, Centro Hospitalar Universitário do Porto, Porto, Portugal
| | - Mariana Couto
- Immunoalergology, CUF-Porto Hospital and Institute, Porto, Portugal
| | - Luís Araujo
- Immunoalergology, CUF-Porto Hospital and Institute, Porto, Portugal
| | - Mariana Pereira
- MEDIDA - Medicina, Educação, Investigação, Desenvolvimento e Avaliação, Porto, Portugal
| | | | - Cláudia Chaves Loureiro
- Serviço de Pneumologia A, Hospital Universitário de Coimbra, Centro Hospitalar e Universitário de Coimbra EPE, Coimbra, Portugal
| | - Maria Joana Catarata
- Serviço de Pneumologia A, Hospital Universitário de Coimbra, Centro Hospitalar e Universitário de Coimbra EPE, Coimbra, Portugal
| | - Lília Maia Santos
- Serviço de Pneumologia A, Hospital Universitário de Coimbra, Centro Hospitalar e Universitário de Coimbra EPE, Coimbra, Portugal
| | - João Pereira
- Serviço de Pneumologia A, Hospital Universitário de Coimbra, Centro Hospitalar e Universitário de Coimbra EPE, Coimbra, Portugal
| | - Bárbara Ramos
- Serviço de Pneumologia A, Hospital Universitário de Coimbra, Centro Hospitalar e Universitário de Coimbra EPE, Coimbra, Portugal
| | - Cristina Lopes
- Unidade de Imunoalergologia, Unidade Local de Saúde de Matosinhos EPE, Senhora da Hora, Portugal
- Imunologia Básica e Clínica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Ana Mendes
- Serviço de Imunoalergologia, Hospital de Santa Maria, Centro Hospitalar Lisboa Norte EPE, Lisboa, Portugal
| | | | - Georgeta Oliveira
- Serviço de Pediatria, Unidade Local de Saúde de Matosinhos EPE, Senhora da Hora, Portugal
| | - Ana Paula Aguiar
- Serviço de Pediatria, Unidade Local de Saúde de Matosinhos EPE, Senhora da Hora, Portugal
| | - Ivete Afonso
- Serviço de Pediatria, Unidade Local de Saúde de Matosinhos EPE, Senhora da Hora, Portugal
| | - Joana Carvalho
- Serviço de Pediatria, Unidade Local de Saúde de Matosinhos EPE, Senhora da Hora, Portugal
| | - Ana Arrobas
- Serviço de Pneumologia B, Hospital Geral, Centro Hospitalar e Universitário de Coimbra EPE, Coimbra, Portugal
| | - José Coutinho Costa
- Serviço de Pneumologia B, Hospital Geral, Centro Hospitalar e Universitário de Coimbra EPE, Coimbra, Portugal
| | - Joana Dias
- Serviço de Pneumologia B, Hospital Geral, Centro Hospitalar e Universitário de Coimbra EPE, Coimbra, Portugal
| | - Ana Todo Bom
- Serviço de Imunoalergologia, Hospital Universitário de Coimbra, Centro Hospitalar e Universitário de Coimbra EPE, Coimbra, Portugal
| | - João Azevedo
- Serviço de Imunoalergologia, Hospital Universitário de Coimbra, Centro Hospitalar e Universitário de Coimbra EPE, Coimbra, Portugal
| | - Carmelita Ribeiro
- Serviço de Imunoalergologia, Hospital Universitário de Coimbra, Centro Hospitalar e Universitário de Coimbra EPE, Coimbra, Portugal
| | - Marta Alves
- Serviço de Imunoalergologia, Hospital Universitário de Coimbra, Centro Hospitalar e Universitário de Coimbra EPE, Coimbra, Portugal
| | - Paula Leiria Pinto
- Serviço de Imunoalergologia, Hospital de Dona Estefânia, Centro Hospitalar de Lisboa Central EPE, Lisboa, Portugal
| | - Nuno Neuparth
- Serviço de Imunoalergologia, Hospital de Dona Estefânia, Centro Hospitalar de Lisboa Central EPE, Lisboa, Portugal
- Pathophysiology, CEDOC, Integrated Pathophysiological Mechanisms Research Group, Nova Medical School, Lisboa, Portugal
| | - Ana Palhinha
- Serviço de Imunoalergologia, Hospital de Dona Estefânia, Centro Hospitalar de Lisboa Central EPE, Lisboa, Portugal
| | - João Gaspar Marques
- Serviço de Imunoalergologia, Hospital de Dona Estefânia, Centro Hospitalar de Lisboa Central EPE, Lisboa, Portugal
| | - Nicole Pinto
- Serviço de Imunoalergologia, Hospital de Dona Estefânia, Centro Hospitalar de Lisboa Central EPE, Lisboa, Portugal
| | - Pedro Martins
- Serviço de Imunoalergologia, Hospital de Dona Estefânia, Centro Hospitalar de Lisboa Central EPE, Lisboa, Portugal
- Pathophysiology, CEDOC, Integrated Pathophysiological Mechanisms Research Group, Nova Medical School, Lisboa, Portugal
| | - Filipa Todo Bom
- Serviço de Pneumologia, Hospital Beatriz Ângelo, Loures, Portugal
| | | | | | | | - Marta Santalha
- Serviço de Pediatria, Hospital da Senhora da Oliveira, Guimaraes, Portugal
| | - Carlos Lozoya
- Serviço de Imunoalergologia, Hospital Amato Lusitano, Castelo Branco, Portugal
| | - Natacha Santos
- Serviço de Imunoalergologia, Centro Hospitalar do Algarve EPE, Faro, Portugal
| | - Diana Silva
- Serviço de Imunoalergologia, Hospital São João, Porto, Portugal
| | | | - Luís Taborda-Barata
- University of Beira Interior, CICS - Health Sciences Research Centre; NuESA - Environment & Health Study Group, Faculty of Health Sciences, Covilha, Portugal
- Cova da Beira University Hospital Centre, Department of Allergy & Clinical Immunology, Covilhã, Portugal
| | - Célia Carvalhal
- Cova da Beira University Hospital Centre, Department of Allergy & Clinical Immunology, Covilhã, Portugal
| | - Maria Fernanda Teixeira
- Serviço de Pediatria, Centro Materno Infantil do Norte, Centro Hospitalar Universitário do Porto, Porto, Portugal
| | - Rodrigo Rodrigues Alves
- Unidade de Imunoalergologia, Hospital do Divino Espirito Santo de Ponta Delgada EPE, Ponta Delgada, Portugal
| | - Ana Sofia Moreira
- Unidade de Imunoalergologia, Hospital do Divino Espirito Santo de Ponta Delgada EPE, Ponta Delgada, Portugal
| | - Cláudia Sofia Pinto
- Serviço de Pneumologia, Centro Hospitalar de Trás-os-montes e Alto Douro EPE, Vila Real, Portugal
| | | | - Carlos Alves
- Serviço de Pneumologia, Centro Hospitalar Barreiro Montijo EPE, Barreiro, Portugal
| | - Raquel Câmara
- Serviço de Pneumologia, Centro Hospitalar Barreiro Montijo EPE, Barreiro, Portugal
| | - Didina Coelho
- Serviço de Pneumologia, Centro Hospitalar Barreiro Montijo EPE, Barreiro, Portugal
| | - Diana Bordalo
- Serviço de Pediatria, Centro Hospitalar do Médio Ave EPE, Santo Tirso, Portugal
| | - Ricardo M Fernandes
- Pediatrics, Hospital de Santa Maria, Lisbon, Portugal
- Laboratory of Clinical Pharmacology and Therapeutics, University of Lisbon Medical Faculty, Lisboa, Portugal
| | | | - Fernando Menezes
- Serviço de Pneumologia, Hospital Garcia de Orta EPE, Almada, Portugal
| | - Ricardo Gomes
- Serviço de Pneumologia, Hospital Garcia de Orta EPE, Almada, Portugal
| | - Maria José Calix
- Serviço de Pediatria, Centro Hospitalar Tondela Viseu EPE, Viseu, Portugal
| | - Ana Marques
- Serviço de Pediatria, Centro Hospitalar Tondela Viseu EPE, Viseu, Portugal
| | - João Cardoso
- Pneumology, Centro Hospitalar de Lisboa Central, Lisbon, Portugal
- NOVA Medical School, Lisbon, Portugal
| | | | - Rita Gerardo
- Pneumology, Centro Hospitalar de Lisboa Central, Lisbon, Portugal
| | - Carlos Nunes
- Imunoalergologia, Centro de Imunoalergologia do Algarve, Portimão, Portugal
| | - Rita Câmara
- Serviço de Imunoalergologia, Serviço de Saúde da Região Autónoma da Madeira, Funchal, Portugal
| | - José Alberto Ferreira
- Serviço de Imunoalergologia, Centro Hospitalar Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal
| | - Aurora Carvalho
- Serviço de Imunoalergologia, Centro Hospitalar Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal
| | - Paulo Freitas
- Bloco operatório, Centro Hospitalar Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal
| | - Ricardo Correia
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), University of Porto Faculty of Medicine, Porto, Portugal
| | - Joao A Fonseca
- Center for Health Technology and Services Research (CINTESIS), Faculty of Medicine, University of Porto (FMUP), Porto, Portugal
- Immunoalergology, CUF-Porto Hospital and Institute, Porto, Portugal
- MEDIDA - Medicina, Educação, Investigação, Desenvolvimento e Avaliação, Porto, Portugal
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), University of Porto Faculty of Medicine, Porto, Portugal
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