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Introduction: Telemedicine has emerged as a key tool to overcome socioeconomic disparities, expand healthcare access, and reduce environmental impacts. Its adoption surged during the COVID-19 pandemic, minimizing travel-related barriers and ensuring continuity of care. In Brazil, where regional inequities in healthcare access and pollution heavily affect public health, telemedicine holds significant promise. However, further research is needed to quantify its economic and environmental benefits. Moreover, examining how socioeconomic factors influence patients' preferences for telemedicine is essential. These correlations help identify patterns that may influence telemedicine adoption and provide deeper insights into how socioeconomic factors can affect access to and benefits from remote healthcare services. Objective: To evaluate the economic and environmental impacts of telemedicine use and the correlation of socioeconomic variables with telemedicine preference in patients with hip pathologies at a tertiary referral center in São Paulo, Brazil. Methods: A cross-sectional study (January-June 2024) analyzed telemedicine patients, collecting data on preferences, demographics, travel, and costs (transport and food). Avoided distance, time, and pollutant emissions were calculated using Google Maps and emission factors. Correlations were conducted between patients' preference for telemedicine and their socioeconomic data. Statistical analyses used Wilcoxon, chi-square, and logistic regression tests. Results: 148 patients participated, with 77.7% preferring telemedicine. The mean avoided travel distance was 168.84 km, with a mean time saving of 223.97 minutes. Patients using public transport and private cars saved, respectively, USD 12.62 and USD 28.95. Telemedicine also reduced pollutant emissions, avoiding approximately 7 tons of carbon dioxide. Telemedicine preference was positively associated with higher income (p = 0.0283). Other variables showed no statistically significant associations. Conclusion: Telemedicine led to significant time and cost savings, as well as a reduction in pollutant emissions. These findings demonstrate telemedicine’s potential to improve access and reduce environmental impacts. Preference for telemedicine was positively associated with higher income, highlighting potential barriers for lower-income populations. Further research is needed to address the lower adherence to virtual consultations among socioeconomically disadvantaged groups.
Introduction: Telemedicine has emerged as a key tool to overcome socioeconomic disparities, expand healthcare access, and reduce environmental impacts. Its adoption surged during the COVID-19 pandemic, minimizing travel-related barriers and ensuring continuity of care. In Brazil, where regional inequities in healthcare access and pollution heavily affect public health, telemedicine holds significant promise. However, further research is needed to quantify its economic and environmental benefits. Moreover, examining how socioeconomic factors influence patients' preferences for telemedicine is essential. These correlations help identify patterns that may influence telemedicine adoption and provide deeper insights into how socioeconomic factors can affect access to and benefits from remote healthcare services. Objective: To evaluate the economic and environmental impacts of telemedicine use and the correlation of socioeconomic variables with telemedicine preference in patients with hip pathologies at a tertiary referral center in São Paulo, Brazil. Methods: A cross-sectional study (January-June 2024) analyzed telemedicine patients, collecting data on preferences, demographics, travel, and costs (transport and food). Avoided distance, time, and pollutant emissions were calculated using Google Maps and emission factors. Correlations were conducted between patients' preference for telemedicine and their socioeconomic data. Statistical analyses used Wilcoxon, chi-square, and logistic regression tests. Results: 148 patients participated, with 77.7% preferring telemedicine. The mean avoided travel distance was 168.84 km, with a mean time saving of 223.97 minutes. Patients using public transport and private cars saved, respectively, USD 12.62 and USD 28.95. Telemedicine also reduced pollutant emissions, avoiding approximately 7 tons of carbon dioxide. Telemedicine preference was positively associated with higher income (p = 0.0283). Other variables showed no statistically significant associations. Conclusion: Telemedicine led to significant time and cost savings, as well as a reduction in pollutant emissions. These findings demonstrate telemedicine’s potential to improve access and reduce environmental impacts. Preference for telemedicine was positively associated with higher income, highlighting potential barriers for lower-income populations. Further research is needed to address the lower adherence to virtual consultations among socioeconomically disadvantaged groups.
Introduction: Telemedicine has emerged as a key tool to overcome socioeconomic disparities, expand healthcare access, and reduce environmental impacts. Its adoption surged during the COVID-19 pandemic, minimizing travel-related barriers and ensuring continuity of care. In Brazil, where regional inequities in healthcare access and pollution heavily affect public health, telemedicine holds significant promise. However, further research is needed to quantify its economic and environmental benefits. Moreover, examining how socioeconomic factors influence patients' preferences for telemedicine is essential. These correlations help identify patterns that may influence telemedicine adoption and provide deeper insights into how socioeconomic factors can affect access to and benefits from remote healthcare services. Objective: To evaluate the economic and environmental impacts of telemedicine use and the correlation of socioeconomic variables with telemedicine preference in patients with hip pathologies at a tertiary referral center in São Paulo, Brazil. Methods: A cross-sectional study (January-June 2024) analyzed telemedicine patients, collecting data on preferences, demographics, travel, and costs (transport and food). Avoided distance, time, and pollutant emissions were calculated using Google Maps and emission factors. Correlations were conducted between patients' preference for telemedicine and their socioeconomic data. Statistical analyses used Wilcoxon, chi-square, and logistic regression tests. Results: 148 patients participated, with 77.7% preferring telemedicine. The mean avoided travel distance was 168.84 km, with a mean time saving of 223.97 minutes. Patients using public transport and private cars saved, respectively, USD 12.62 and USD 28.95. Telemedicine also reduced pollutant emissions, avoiding approximately 7 tons of carbon dioxide. Telemedicine preference was positively associated with higher income (p = 0.0283). Other variables showed no statistically significant associations. Conclusion: Telemedicine led to significant time and cost savings, as well as a reduction in pollutant emissions. These findings demonstrate telemedicine’s potential to improve access and reduce environmental impacts. Preference for telemedicine was positively associated with higher income, highlighting potential barriers for lower-income populations. Further research is needed to address the lower adherence to virtual consultations among socioeconomically disadvantaged groups.
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