Publications by authors named "Tanisha Hill"

Electronic inhalers provide information about patterns of routine inhaler use. During a 12-week study, 360 asthma patients using albuterol Digihaler generated 53,083 inhaler events that were retrospectively analyzed. A total of 41,528 (78%) of the recorded inhalation events were suitable for flow analysis (having a PIF ≥ 18 L/min and <120 L/min).

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Background: Digital health tools have been shown to help address challenges in asthma control, including inhaler technique, treatment adherence, and short-acting β-agonist overuse. The maintenance and reliever Digihaler System (DS) comprises 2 Digihaler inhalers (fluticasone propionate/salmeterol and albuterol) with an associated patient App and web-based Dashboard. Clinicians can review patients' inhaler use and Digihaler inhalation parameter data to support clinical decision-making.

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Purpose: Machine learning models informed by sensor data inputs have the potential to provide individualized predictions of asthma deterioration. This study aimed to determine if data from an integrated digital inhaler could be used to develop a machine learning model capable of predicting impending exacerbations.

Patients And Methods: Adult patients with poorly controlled asthma were enrolled in a 12-week, open-label study using ProAir Digihaler, an electronic multi-dose dry powder inhaler (eMDPI) with integrated sensors, as reliever medication (albuterol, 90 µg/dose; 1-2 inhalations every 4 hours, as needed).

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Background: The albuterol Digihaler (albuterol 90 μg/dose) transmits data wirelessly to a smart device application, which synchronizes with a Digital Health Platform to store and transfer data to a web-based Dashboard. The Reliever Digihaler System (RDS) comprises the albuterol Digihaler, application, Digital Health Platform and Dashboard. This allows patients and health care professionals to review reliever inhaler usage and inhalation quality to aid clinical decision making.

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Background: Previous studies indicate that suboptimal medication adherence may contribute to uncontrolled asthma. Global Initiative for Asthma (GINA) guidelines recommend treatment escalation to biologics for patients with uncontrolled asthma despite adherence to high-dose maintenance medication and who have eosinophilic/allergic biomarkers or require maintenance oral corticosteroids.

Objective: This study aimed to describe the clinical status of patients with asthma escalated to biologic therapy.

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Telehealth use increased during the coronavirus disease 2019 (COVID-19) pandemic to provide patient care while deferring to social distancing recommendations. Health-care provider and patient surveys were conducted to assess the impact of COVID-19 on the use and perception of telehealth visits for atopic and respiratory diseases. Health-care provider (N = 200) and patient (N = 200) surveys were conducted in the United States between September and October, 2020, and January, 2021.

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Background: Reslizumab, an anti-IL-5 monoclonal antibody, is indicated as add-on maintenance treatment for adults with severe eosinophilic asthma.

Research Question: What are the real-world outcomes associated with reslizumab use in patients with severe eosinophilic asthma in a US clinical practice?

Study Design And Methods: In this retrospective study, patient-level data from adults treated with reslizumab were obtained from center- and panel-based medical chart reviews. Eligible patients had available medical records and treatment history for ≥ 6 months before initiation of reslizumab treatment (index date) to ≥ 7 months after reslizumab initiation.

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The burden of asthma disproportionately affects children living in economically disadvantaged urban communities. The relationships between ethnicity, genetic differences, lower socioeconomic status, poor medication adherence, greater exposure to environmental triggers, and absence of regular asthma care all contribute to this disparity. This review aims to identify and discuss recent studies on additional factors that may also impact to pediatric asthma disparity.

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