Abstract

This cross-sectional analytical study assessed the frequency of avoided referrals of primary care to other care levels by dental teleconsulting and its association with individual and contextual variables using a multilevel approach. It appraised asynchronous dental teleconsulting sessions from the secondary database of the Monitoring and Evaluation System of the Telehealth Results during 2020, during the COVID-19 pandemic. The outcome was "whether referral to secondary care was avoided". Individual variables were related to teleconsulting and professionals that requested it: sex, dental specialty, and dentistry field. Contextual variables were related to each municipality that requested responses: Municipal Human Development Index, oral health teams (OHTs) in primary health care coverage, dental specialty centers coverage, illiteracy rate, Gini index, longevity, and per capita income. A descriptive analysis was made using the Statistical Package for the Social Sciences. Hierarchical Linear and Nonlinear Modeling software was used to perform multilevel analyses to assess the association of individual and contextual variables with avoiding patient referral to other care levels. Most teleconsulting sessions avoided patient referral to other care levels (65.1%). Contextual variables explained 44.23% of the variance in the outcome. Female dentists were more likely to avoid patient referrals than male dentists (OR = 1.74; CI = 0.99-3.44; p = 0.055). In addition, an increase of one percentage point in OHT/PHC coverage of municipalities increased the likelihood of avoiding patient referral by 1% (OR = 1.01; CI = 1.00-1.02; p = 0.02). Teleconsulting sessions efficiently avoided patient referral to other care levels. Both contextual and individual factors were associated with avoided referrals by teleconsulting sessions.

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