Intranasal antihistamines and corticosteroids in allergic rhinitis: A systematic review and meta-analysis.

BACKGROUND: There is insufficient systematized evidence on the effectiveness of individual intranasal medications in allergic rhinitis (AR). OBJECTIVES: We sought to perform a systematic review to compare the efficacy of individual intranasal corticosteroids and antihistamines against placebo in improving the nasal and ocular symptoms and the rhinoconjunctivitis-related quality of life of patients with perennial or seasonal AR. METHODS: The investigators searched 4 electronic bibliographic databases and 3 clinical trials databases for randomized controlled trials (1) assessing adult patients with seasonal or perennial AR and (2) comparing the use of intranasal corticosteroids or antihistamines versus placebo. Assessed outcomes included the Total Nasal Symptom Score, the Total Ocular Symptom Score, and the Rhinoconjunctivitis Quality-of-Life Questionnaire. The investigators performed random-effects meta-analyses of mean differences for each medication and outcome. The investigators assessed evidence certainty using the GRADE (Grading of Recommendations, Assessment, Development and Evaluation) approach. RESULTS: This review included 151 primary studies, most of which assessed patients with seasonal AR and displayed unclear or high risk of bias. Both in perennial and seasonal AR, most assessed treatments were more effective than placebo. In seasonal AR, azelastine-fluticasone, fluticasone furoate, and fluticasone propionate were the medications with the highest probability of resulting in moderate or large improvements in the Total Nasal Symptom Score and Rhinoconjunctivitis Quality-of-Life Questionnaire. Azelastine-fluticasone displayed the highest probability of resulting in moderate or large improvements of Total Ocular Symptom Score. Overall, evidence certainty was considered "high" in 6 of 46 analyses, "moderate" in 23 of 46 analyses, and "low"/"very low" in 17 of 46 analyses. CONCLUSIONS: Most intranasal medications are effective in improving rhinitis symptoms and quality of life. However, there are relevant differences in the associated evidence certainty.

Digitally-enabled, person-centred care (PCC) in allergen immunotherapy: An ARIA-EAACI Position Paper.

In rhinitis and asthma, several mHealth apps have been developed but only a few have been validated. However, these apps have a high potential for improving person-centred care (PCC), especially in allergen immunotherapy (AIT). They can provide support in AIT initiation by selecting the appropriate patient and allergen shared decision-making. They can also help in (i) the evaluation of (early) efficacy, (ii) early and late stopping rules and (iii) the evaluation of (carried-over) efficacy after cessation of the treatment course. Future perspectives have been formulated in the first report of a joint task force (TF)-Allergic Rhinitis and Its Impact on Asthma (ARIA) and the European Academy of Allergy and Clinical Immunology (EAACI)-on digital biomarkers. The TF on AIT now aims to (i) outline the potential of the clinical applications of mHealth solutions, (ii) express their current limitations, (iii) make proposals regarding further developments for both clinical practice and scientific purpose and (iv) suggest which of the tools might best comply with the purpose of digitally-enabled PCC in AIT.

MASK-air: An OECD (Organisation for Economic Co-operation and Development) Best Practice for Public Health on Integrated Care for Chronic Diseases.

In the recent report of the Organisation for Economic Co-operation and Development (OECD) on Best Practices (BPs) for Integrating Care to Prevent and Manage Chronic Diseases, an app on rhinitis and asthma (MASK-air [Mobile Airways Sentinel networK for airway diseases]) has been listed. The OECD is a reliable source of evidence-based policy analysis and economic data largely used by governments. It has published several BPs on public health. On May 10, 2023, the OECD published 13 BPs for Integrating Care to Prevent and Manage Chronic Diseases in the European Union. The report did not cover all models of integrated care; rather, it "focuse(d) on those that are of key strategic interest to policy makers." New MASK-air studies (not published in the report) include equity, usability of the app in old-age adults, economic impact, quality of life, and allergen immunotherapy. MASK-air is freely available on iOS and Android in 30 countries and has been recently introduced in the United States. The MASK-air OECD BP represents a model of digitally enabled, patient-centered care for chronic diseases using a holistic approach of shared decision making.

Exploring the role of information and communication technologies in allergic rhinitis in specialist centers: Patient perspectives on usefulness, value, and impact on healthcare.

INTRODUCTION: Information and communication technologies (ICTs) improve patient-centered care and are routinely used in Allergic Rhinitis (AR), but patients' preferences and attitudes are unexplored. This study examines AR-related information preferences and ICT use by AR patients. METHODS: A survey-based cross-sectional study was carried out in Ecuador from July to September 2019 in seven centers of reference for allergic disease. Participants were 18 years or older, diagnosed with AR and had access to ICT and the Internet. Descriptive and binomial logistic regressions were performed. A value of less than 0.05 was considered statistically significant. RESULTS: 217 patients were included. 47% (n = 102) used ICTs to learn about AR, of which 38.2% (n = 83) found it useful. Most of participants (75%, n = 164) did not think that ICTs reduce their need to see a doctor. Individuals with poorer quality of life were more likely to utilize ICTs to contact their doctor (OR 1.27, 95% CI 1.04-1.55), and more likely to be interested in AR-related content (OR 1.23, 95% CI 1.00-1.52). Patients with long-term AR or other allergies were less likely to use ICTs (OR 0.92 and OR 0.40 respectively). Higher education and lower quality of life may increase AR apps adoption (OR 4.82, 95% CI 1.11-21.00). Academic preparation five-fold increased ICT use for health provider communication (OR 5.29, 95% CI 1.18-23.72). Mild-persistent AR enhanced the probabilities of using ICTs to share experiences and communicate with other patients (OR 12.59, 95% CI 1.32-120.35). CONCLUSIONS: Our study emphasizes the importance of tailoring digital resources to patient needs by considering factors such as quality of life, education, and specific subgroups within the AR patient population. Additionally, the findings suggest that while ICTs can play a valuable role in patient education and support, they should complement, rather than replace, traditional medical care for many AR patients.

Understanding Health Care Students' Perceptions, Beliefs, and Attitudes Toward AI-Powered Language Models: Cross-Sectional Study.

BACKGROUND: ChatGPT was not intended for use in health care, but it has potential benefits that depend on end-user understanding and acceptability, which is where health care students become crucial. There is still a limited amount of research in this area. OBJECTIVE: The primary aim of our study was to assess the frequency of ChatGPT use, the perceived level of knowledge, the perceived risks associated with its use, and the ethical issues, as well as attitudes toward the use of ChatGPT in the context of education in the field of health. In addition, we aimed to examine whether there were differences across groups based on demographic variables. The second part of the study aimed to assess the association between the frequency of use, the level of perceived knowledge, the level of risk perception, and the level of perception of ethics as predictive factors for participants' attitudes toward the use of ChatGPT. METHODS: A cross-sectional survey was conducted from May to June 2023 encompassing students of medicine, nursing, dentistry, nutrition, and laboratory science across the Americas. The study used descriptive analysis, chi-square tests, and ANOVA to assess statistical significance across different categories. The study used several ordinal logistic regression models to analyze the impact of predictive factors (frequency of use, perception of knowledge, perception of risk, and ethics perception scores) on attitude as the dependent variable. The models were adjusted for gender, institution type, major, and country. Stata was used to conduct all the analyses. RESULTS: Of 2661 health care students, 42.99% (n=1144) were unaware of ChatGPT. The median score of knowledge was "minimal" (median 2.00, IQR 1.00-3.00). Most respondents (median 2.61, IQR 2.11-3.11) regarded ChatGPT as neither ethical nor unethical. Most participants (median 3.89, IQR 3.44-4.34) "somewhat agreed" that ChatGPT (1) benefits health care settings, (2) provides trustworthy data, (3) is a helpful tool for clinical and educational medical information access, and (4) makes the work easier. In total, 70% (7/10) of people used it for homework. As the perceived knowledge of ChatGPT increased, there was a stronger tendency with regard to having a favorable attitude toward ChatGPT. Higher ethical consideration perception ratings increased the likelihood of considering ChatGPT as a source of trustworthy health care information (odds ratio [OR] 1.620, 95% CI 1.498-1.752), beneficial in medical issues (OR 1.495, 95% CI 1.452-1.539), and useful for medical literature (OR 1.494, 95% CI 1.426-1.564; P<.001 for all results). CONCLUSIONS: Over 40% of American health care students (1144/2661, 42.99%) were unaware of ChatGPT despite its extensive use in the health field. Our data revealed the positive attitudes toward ChatGPT and the desire to learn more about it. Medical educators must explore how chatbots may be included in undergraduate health care education programs.

Concepts for the development of person-centred, digitally-enabled, Artificial Intelligence-assisted ARIA care pathways (ARIA 2024).

The traditional healthcare model is focused on diseases (medicine and natural science) and does not acknowledge patients' resources and abilities to be experts in their own life based on their lived experiences. Improving healthcare safety, quality and coordination, as well as quality of life, are important aims in the care of patients with chronic conditions. Person-centred care needs to ensure that people's values and preferences guide clinical decisions. This paper reviews current knowledge to develop (i) digital care pathways for rhinitis and asthma multimorbidity and (ii) digitally-enabled person-centred care (1). It combines all relevant research evidence, including the so-called real-world evidence, with the ultimate goal to develop digitally-enabled, patient-centred care. The paper includes (i) Allergic Rhinitis and its Impact on Asthma (ARIA), a two-decade journey, (ii) Grading of Recommendations, Assessment, Development and Evaluation (GRADE), the evidence-based model of guidelines in airway diseases, (iii) mHealth impact on airway diseases, (iv) from guidelines to digital care pathways, (v) embedding Planetary Health, (vi) novel classification of rhinitis and asthma, (vi) embedding real-life data with population-based studies, (vii) the ARIA-EAACI strategy for the management of airway diseases using digital biomarkers, (viii) Artificial Intelligence, (ix) the development of digitally-enabled ARIA Person-Centred Care and (x) the political agenda. The ultimate goal is to propose ARIA 2024 guidelines centred around the patient in order to make them more applicable and sustainable.

Relevance of individual bronchial symptoms for asthma diagnosis and control in patients with rhinitis: A MASK-air study.

RATIONALE: It is unclear how each individual asthma symptom is associated with asthma diagnosis or control. OBJECTIVES: To assess the performance of individual asthma symptoms in the identification of patients with asthma and their association with asthma control. METHODS: In this cross-sectional study, we assessed real-world data using the MASK-air® app. We compared the frequency of occurrence of five asthma symptoms (dyspnea, wheezing, chest tightness, fatigue and night symptoms, as assessed by the Control of Allergic Rhinitis and Asthma Test [CARAT] questionnaire) in patients with probable, possible or no current asthma. We calculated the sensitivity, specificity and predictive values of each symptom, and assessed the association between each symptom and asthma control (measured using the e-DASTHMA score). Results were validated in a sample of patients with a physician-established diagnosis of asthma. MEASUREMENT AND MAIN RESULTS: We included 951 patients (2153 CARAT assessments), with 468 having probable asthma, 166 possible asthma and 317 no evidence of asthma. Wheezing displayed the highest specificity (90.5%) and positive predictive value (90.8%). In patients with probable asthma, dyspnea and chest tightness were more strongly associated with asthma control than other symptoms. Dyspnea was the symptom with the highest sensitivity (76.1%) and the one consistently associated with the control of asthma as assessed by e-DASTHMA. Consistent results were observed when assessing patients with a physician-made diagnosis of asthma. CONCLUSIONS: Wheezing and chest tightness were the asthma symptoms with the highest specificity for asthma diagnosis, while dyspnea displayed the highest sensitivity and strongest association with asthma control.