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Background There is currently insufficient effective treatment for hearing loss in the elderly since it is a hidden disease whose damage is irreversible. It is crucial to establish early warnings, screenings and interventions. As of now, there are few studies carried out on the assessment of hearing loss in the elderly based on risk factors at home and abroad. There are no standardized measurement tools or perfect scales. Objective Utilizing smart medicine and the WeChat platform, investigate high-risk factors of hearing loss in the elderly, develop screening software for hearing loss in the elderly, and explore the screening and management modes of hearing loss in the elderly. Methods Based on cross-sectional survey, five community health service centers in Pudong New Area of Shanghai were obtained. The tudy was performed from April to December 2019 to investigate the distribution of risk factors for hearing loss in the elderly in the community, and conditional logic was applied, and receiver operation charateristic curve (ROC curve) were used for risk stratification. The screening software for hearing loss in the elderly has been developed using JavaScript language during the period January and June 2020. Verification and evaluation of the screening software were performed between July 2020 to March 2021. Results The study involved 401 elderly peoplein across-sectional design. Multivariate Logistic regression analysis revealed that aging〔OR=1.100, 95%CI (1.037, 1.166) 〕, noise history〔OR=3.886, 95%CI (1.077, 14.022) 〕, non-light diet〔OR=2.445, 95%CI (1.127, 5.305) 〕, hypertension〔OR=1.8393, 95%CI (1.015, 3.330) 〕, diabetes〔OR=4.310, 95%CI (1.817, 10.225) 〕and hyperuricemia〔OR=3.174, 95%CI (1.030, 9.779) 〕were independent risk factors (P |
