UNASSIGNED: Proper technique for using inhalers is crucial in treating pediatric asthma. YouTube offers a wide range of videos on pediatric inhaler technique, but there is a need to analyze the quality, reliability, and content of these resources.
UNASSIGNED: This study aims to analyze the quality, reliability, and content of YouTube videos on pediatric asthma inhaler techniques.
UNASSIGNED: The study has a descriptive, retrospective, and cross-sectional design. The research was conducted by searching YouTube using the \"Pediatric Metered Dose Inhaler,\" \"Pediatric Accuhaler,\" and \"Pediatric Diskus.\" The video\'s popularity was measured using the Video Power Index. The quality and reliability of the videos were evaluated using the modified DISCERN and Global Quality Scale (GQS).
UNASSIGNED: This study analyzed 55 YouTube videos on the pediatric inhaler technique. 19 of the videos were related to the pMDI inhaler with a spacer for tidal breathing, 14 pMDI inhaler with a spacer for single breath, and 22 diskus device. Findings show that videos demonstrating the use of pMDI devices for single breath have more reliable modified DISCERN scores. However, videos related to tidal breathing are more popular than those showing the use of diskus devices and single breath. Based on the checklist for videos on diskus devices, the steps with the highest error rates are \'Check dose counter\' at 72.7% and \'Breathe out gently, away from the inhaler\' at 63.6%. A moderate correlation was observed between the modified DISCERN score and the GQS.
UNASSIGNED: While YouTube videos on the pMDI single-breath technique may be useful for pediatric patients and caregivers, it is crucial for them to receive inhaler technique education from their healthcare provider. This study\'s findings hold great significance for pediatric patients and caregivers, particularly those who rely on YouTube for health-related information.

BACKGROUND: The majority of medications used in treating asthma and chronic obstructive pulmonary disease (COPD) are taken through metered-dose inhalers (MDIs). Studies have reported that most patients demonstrate poor inhaler technique, which has resulted in poor disease control. Digital Health applications have the potential to improve the technique and adherence of inhaled medications.
OBJECTIVE: This study aimed to validate the effectiveness of the BreatheSuite MDI device in assessing the technique of taking a dose via an MDI.
METHODS: The study was a validation study. Thirty participants who self-reported a diagnosis of asthma or COPD were recruited from community pharmacies in Newfoundland and Labrador, Canada. Participants used a BreatheSuite MDI device attached to a placebo MDI and resembled taking 3 doses. Pharmacists used a scoring sheet to evaluate the technique of using the MDI. An independent researcher compared the results of the pharmacist\'s scoring sheet with the results of the BreatheSuite device.
RESULTS: This study found that the BreatheSuite MDI can objectively detect several errors in the MDI technique. The data recorded by the BreatheSuite MDI device showed that all participants performed at least one error in using the MDI. The BreatheSuite device captured approximately 40% (143/360) more errors compared to observation alone. The distribution of participants who performed errors in MDI steps as recorded by BreatheSuite compared to errors reported by observation alone were as follows: shaking before actuation, 33.3% (30/90) versus 25.5% (23/90); upright orientation of the inhaler during actuation, 66.7% (60/90) versus 18.87% (17/90); coordination (actuating after the start of inhalation), 76.6% (69/90) versus 35.5% (32/90); and duration of inspiration, 96.7% (87/90) versus 34.4% (31/90).
CONCLUSIONS: The BreatheSuite MDI can objectively detect several errors in the MDI technique, which were missed by observation alone. It has the potential to enhance treatment outcomes among patients with chronic lung diseases.

UNASSIGNED: The suboptimal use of inhalers in the treatment of patients with chronic obstructive pulmonary disease (COPD) is probably a major but poorly documented problem in hospitalized patients. We aimed to describe the prevalence of misused inhalers among patients hospitalized with COPD in a department of general internal medicine.
UNASSIGNED: We conducted a monocentric cross-sectional study in consecutive patients with a diagnosis of COPD and hospitalized between August 2022 and April 2023 in the internal medicine division of Fribourg Hospital, Switzerland. Patients underwent an assessment of their inhaler technique and peak inspiratory flow (PIF) using the In-Check Dial G16®. The primary outcome was the prevalence of misused inhalers, defined as an inhaler used with a critical error and/or insufficient PIF. Secondary outcomes included the prevalence of inhalers unsuitable to patients\' characteristics and of patients using at least one misused inhaler.
UNASSIGNED: The study included 96 patients and 160 inhalers were assessed at admission. Among these inhalers, 111 (69.4%; 95% confidence interval [CI] 61.6-76.4) were misused; 105 (65.6%; 95% CI 57.7-72.9) due to the presence of a critical error in the inhalation technique and 22 (13.8%; 95% CI 8.8-20.1) due to insufficient PIF. Concerning the secondary outcome, 27 inhalers (16.9%) were unsuitable, and 79 patients (82.3%) used at least one misused inhaler.
UNASSIGNED: Among patients hospitalized with a diagnosis of COPD, two-thirds of inhalers were misused. Suboptimal use was mainly due to the presence of critical errors, but also to the presence of an insufficient PIF and unsuitable inhalers.

BACKGROUND: Poor disease control in patients with chronic obstructive pulmonary disease (COPD) is associated with suboptimal inhaler use.
OBJECTIVE: This study was designed to explore the accuracy of inhaler use and related factors in elderly patients with COPD.
METHODS: A cross-sectional survey design was used to recruit patients with COPD from a medical centre in southern Taiwan who were over 65 years old and used inhalers regularly. All of the data as well as information on inhaler use accuracy were collected using a self-designed questionnaire and inhaler operation checklist. Multivariable logistic regression was used to analyse significant correlates of correct inhaler operation.
RESULTS: The average age of the 150 participants was 75.0 years (SD = 7.5) years. Most used one type of inhaler only (86.0%). The rate of accurate inhaler operation was 40.7% (n = 61) for the sample, with dry powder inhalers associated with the highest accuracy (64%) and pressurized metered-dose inhalers associated with the lowest accuracy (1.6%). Multivariate logistic regression analysis showed that using a soft mist inhaler (adjusted odds ratio, AOR = 23.29; 95% confidence interval, 95% CI [2.84, 191.07]), using a dry powder inhaler (AOR =15.60, 95% CI [1.99, 122.26]), and higher satisfaction with the inhaler were positively and independently associated with accurate inhaler use (AOR = 1.94, 95% CI [1.09, 3.44]).
CONCLUSIONS: Important factors related to inhaler use accuracy include inhaler type and level of patient satisfaction with their inhaler. Healthcare professionals should regularly confirm that older patients are able to use their inhalers correctly and are satisfied with their inhalers.
BACKGROUND: 老年慢性阻塞性肺疾病病人吸入器操作正確性及相關因素.
UNASSIGNED: 慢性阻塞性肺疾病控制不良與病人吸入器使用錯誤有關。.
UNASSIGNED: 探討老年慢性阻塞性肺疾病病人操作吸入器正確性及相關因素。.
UNASSIGNED: 橫斷調查性研究設計，以南部某醫學中心65 歲以上且使用吸入器治療的慢性阻塞性肺疾病病人。用自擬問卷與吸入器操作檢核表收集資料及評估吸入器操作正確性。用多變量邏輯迴歸分析吸入器操作正確性相關因素。.
UNASSIGNED: 150位病人平均年齡75.0歲（SD = 7.5），多數病人僅用一種吸入器（86.0%）。吸入器操作正確者佔40.7%（n = 61），操作乾粉吸入器正確者比率最高（64%）、加壓計量吸入器正確者比率最低（1.6%）。使用軟霧吸入器者（adjusted odds ratio, AOR = 23.29; 95% confidence interval, 95% CI [2.84, 191.07]）與乾粉吸入器者（AOR = 15.60, 95% CI [1.99, 122.26]）操作正確勝算比顯著高於使用加壓計量吸入器者；對吸入器滿意度分數越高者，操作正確勝算比越高（AOR = 1.94, 95% CI [1.09, 3.44]）。.
UNASSIGNED: 吸入器操作正確性的重要相關因素為吸入器種類及對吸入器滿意度。醫護人員應定期確認老年病人能正確使用吸入器並對吸入器感到滿意。.

UNASSIGNED: Mobile health (mHealth) technology in respiratory medicine is a fast-growing and promising digital technology that is popular among patients and healthcare providers (HCPs). They provide reminders and step-by-step instructions for the correct inhalation technique, monitor patients\' adherence to treatment, and facilitate communication between patients and HCPs.
UNASSIGNED: While numerous mHealth apps have been developed over the years, most applications do not have supporting evidence. Selecting the best mHealth app in respiratory medicine is challenging due to limited studies carrying out mHealth app selection. Although mHealth technologies play an important part in the future of respiratory medicine, there is no single guide on the evaluation and selection of mHealth technologies for patients with pulmonary diseases. This paper aims to provide an overview of mHealth technologies, particularly emphasizing digital inhalers and standalone applications used in asthma. Additionally, it offers insights into the evaluation, selection, and pertinent considerations surrounding mHealth applications in respiratory medicine.
UNASSIGNED: Evaluating mHealth apps will take time, resources, and collaboration between stakeholders such as governmental regulatory bodies, subject-matter experts, and industry representatives. Filling the gaps in the evaluation and selection of the mHealth app will improve clinical decision-making, personalized treatments, self-management and disease monitoring in respiratory medicine.

UNASSIGNED: Inhalation therapy efficacy hinges on proper peak inspiratory flow rate (PIFR) attainment, yet the prevalence of inappropriate PIFR among patients with chronic obstructive pulmonary disease (COPD) remains unstudied in Korea. This study aimed to assess the prevalence of inappropriate PIFR, its correlation with COPD assessment test (CAT) scores, and factors associated with suboptimal PIFR.
UNASSIGNED: We enrolled 108 patients with COPD who had been using the same inhaler for at least one year without exacerbations. PIFR was measured using an inspiratory flow meter (In-Check™ DIAL G16). Demographic, clinical, pulmonary function, and CAT score data were collected. Inappropriate was defined as PIFR < 60L/min for dry power inhaler (DPI) users or > 90L/min for aerosol device users.
UNASSIGNED: The cohort comprised 87 (80.6%) men, mean age 71.0 ± 8.5 years, with mean post-bronchodilator forced expiratory volume in one second of 69.1 ± 1.8% predicted. Twenty-nine (26.9%) used aerosol devices, 76 (70.4%) used DPIs, and three (2.8%) used both. Inappropriate PIFRs were found in 17.2% of aerosol device users and 42.1% of DPI users. CAT scores were significantly higher in inappropriate PIFR group than appropriate PIFR group (11.2 ± 7.7 vs 7.5 ± 4.9, P = 0.003). In DPI users, female, shorter height, lower body weight and MVV (maximal voluntary ventilation) were associated with inappropriate PIFR.
UNASSIGNED: Prevalence of inappropriate PIFR among patients with COPD is 17.2% for aerosol device users and 42.1% for DPI users. Suboptimal PIFR correlates with female gender, shorter stature, lower weight and MVV in DPI users.

Inhaled corticosteroid (ICS) is a mainstay treatment for controlling asthma and preventing exacerbations in patients with persistent asthma. Many types of ICS drugs are used, either alone or in combination with other controller medications. Despite the widespread use of ICSs, asthma control remains suboptimal in many people with asthma. Suboptimal control leads to recurrent exacerbations, causes frequent ER visits and inpatient stays, and is due to multiple factors. One such factor is the inappropriate ICS choice for the patient. While many interventions targeting other factors exist, less attention is given to inappropriate ICS choice. Asthma is a heterogeneous disease with variable underlying inflammations and biomarkers. Up to 50% of people with asthma exhibit some degree of resistance or insensitivity to certain ICSs due to genetic variations in ICS metabolizing enzymes, leading to variable responses to ICSs. Yet, ICS choice, especially in the primary care setting, is often not tailored to the patient\'s characteristics. Instead, ICS choice is largely by trial and error and often dictated by insurance reimbursement, organizational prescribing policies, or cost, leading to a one-size-fits-all approach with many patients not achieving optimal control. There is a pressing need for a decision support tool that can predict an effective ICS at the point of care and guide providers to select the ICS that will most likely and quickly ease patient symptoms and improve asthma control. To date, no such tool exists. Predicting which patient will respond well to which ICS is the first step toward developing such a tool. However, no study has predicted ICS response, forming a gap. While the biologic heterogeneity of asthma is vast, few, if any, biomarkers and genotypes can be used to systematically profile all patients with asthma and predict ICS response. As endotyping or genotyping all patients is infeasible, readily available electronic health record data collected during clinical care offer a low-cost, reliable, and more holistic way to profile all patients. In this paper, we point out the need for developing a decision support tool to guide ICS selection and the gap in fulfilling the need. Then we outline an approach to close this gap via creating a machine learning model and applying causal inference to predict a patient\'s ICS response in the next year based on the patient\'s characteristics. The model uses electronic health record data to characterize all patients and extract patterns that could mirror endotype or genotype. This paper supplies a roadmap for future research, with the eventual goal of shifting asthma care from one-size-fits-all to personalized care, improve outcomes, and save health care resources.

The conventional metered dose inhaler (MDI) has long served as a cornerstone in the management of asthma and chronic obstructive pulmonary disease (COPD), affecting millions annually. Despite its advantages, a persistent challenge is seen in the form of patient education and the unchanged design of these inhalers since their inception in 1956. This lack of progress in MDI design has inadvertently contributed to incidences of foreign body inhalation. In this case presentation we report a 50-year-old male with a past medical history of asthma, who faced an incident of foreign body inhalation with use of his inhaler. The patient aspirated a dime when he administered his inhaler, as it had become lodged in the device\'s mouthpiece, which was uncapped. This case, like many others, demonstrates the need for innovative changes in MDI inhaler design. While numerous articles or cases concentrate on foreign body removal, the primary objective of this case report is to investigate preventative measures and solutions aimed at averting incidents of inhalation.

Asthma is the most common chronic disease in childhood. If untreated, asthma can lead to debilitating daily symptoms which affect quality of life, but more importantly can lead to fatal asthma attacks which unfortunately still occur globally. The most effective treatment strategy for controlling asthma is for the patient to follow a personalised asthma action plan (PAAP) which will invariably include regular use of an inhaled corticosteroid. To examine medication adherence in children with asthma, we collated recent evidence from systematic reviews in this area to address the following 5 key questions; What is adherence? Is there evidence that children are not adhering to preventer medication? Why is adherence poor and what are the barriers to adherence? Does good adherence improve outcomes in asthma? And lastly, how can treatment adherence be improved?

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