Rediscovering Allergic Rhinitis: The Use of a Novel mHealth Solution to Describe and Monitor Health-Related Quality of Life in Elderly Patients

Abstract

<b><i>Introduction:</i></b> Allergic rhinitis (AR) is a disease characterized by IgE-mediated hypersensitivity responses akin to allergic asthma. Although common in children and young adults, AR can be particularly vexing in the elderly: several studies have underlined its impact on the patient’s self-perceived health-related quality of life (HR-QoL). Available literature data on AR-affected elderly patients remain sparse and often focused on specific characteristics. mHealth solutions such as MASK-air® can be used in assessing salient clinical characteristics and unique shifts in self-perceived HR-QoL in old age people. With this pilot study, we aim to assess these variables in two cohorts of AR-affected elderly patients – one actively involved in the daily use of mHealth applications and the other having never used such a solution – by applying a widespread, validated, and standardized tool. <b><i>Methods:</i></b> AR-affected patients aged ≥65 years accessing the outpatient clinic of the Bari Geriatric Immuno-allergology Unit between March and July 2021 were enrolled and assigned to “mHealth” (MASK-air®) and “non-mHealth” cohorts accordingly. Each participant was given a 19-item questionnaire delivered via a custom software solution, with the EuroQoL EQ-5D-5L used to assess HR-QoL. <b><i>Results:</i></b> 93 patients (51 mHealth users, 43 non-mHealth users) were enrolled. AR was often either standalone or associated with asthma and conjunctivitis, and 57.4% of the participants reported a negative influence of AR on daily activities. Analysis of HR-QoL showed significantly worse scores in mobility and anxiety/depression dimensions for female patients regardless of app usage, while male non-mHealth users had worse self-care scores. Female mHealth users had worse scores for the self-care and activity dimensions, whereas female non-mHealth users showed worse scores on the pain scale. In general, mHealth users showed a greater degree of anxiety/depression when compared to non-mHealth users, relating to a greater awareness of their health status. <b><i>Conclusion:</i></b> The use of an mHealth solution, along with a concise, clinically-validated, comprehensive HR-QoL assessment toolset such as the EQ-5D, can prove beneficial in defining the unique characteristics of AR in the elderly. It can enable a detailed exploration of the impact on specific aspects of quality of life in old age. Raising patient awareness towards a health condition can improve compliance to treatment as well as follow-up. A lack of uniformity in approach, along with missing data pertaining to the general population are critical issues that require further studies. A more thorough diffusion of mHealth usage is also necessary among the geriatric population.