Asal Pilehvari, Wen You, Stephanie Grim, Rodger Kessler, John F Thomas
{"title":"Exploring Patterns and Disparities in E-Consult Referrals: An Analysis of Patient and Community Factors in Colorado Health Care.","authors":"Asal Pilehvari, Wen You, Stephanie Grim, Rodger Kessler, John F Thomas","doi":"10.1089/tmj.2024.0243","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b> Electronic consultations (e-consults) provide a strategic solution to address challenges in health care systems related to cost management and access to care. This study aims to investigate the multilevel patient characteristics associated with higher frequency of receiving e-consults and increased likelihood of completion. <b>Materials and Methods:</b> University of Colorado's electronic medical record were analyzed to study factors influencing referral types (e-consult vs. standard) and their completion rates from April 2018 to September 2023. Multivariate probit regression assessed the impact of patient-level and community-level factors (urban-rural classification, Social Vulnerability Index, and technology accessibility) on e-consult referrals and completion. <b>Results:</b> In 263,882 records, 92.5% were standard referrals, and 7.4% were e-consult referrals. Analysis showed that females were less likely than males (OR = 0.95, 95%CI[0.93, 0.96]), and Blacks were more likely than Whites (OR = 1.03, 95%CI[1.01,1.06]) to receive e-consult referrals. Medicaid patients had lower odds compared to those with Medicare only (OR = 1.04, 95%CI[1.00,1.07]), and rural residency was associated with lower odds (OR = 0.80, 95%CI[0.73,0.88]) of e-consult referral. Factors such as areas with higher population without internet subscription (OR = 1.03, 95%CI[1.01,1.04]) and higher social vulnerabilities (OR = 1.26, 95%CI[1.16,1.37]) increased e-consult odds. Black patients were less likely to have their referrals completed compared to Whites. Patients who resided in regions with limited computer and smartphone access, as well as higher social vulnerabilities, showed decreased odds of referral completion. <b>Discussions and Conclusion:</b> This study highlights the need for partnering with a variety of health care organizations, especially those serving low-income and disadvantaged populations, to enhance health care access equity through the use of e-consults.</p>","PeriodicalId":54434,"journal":{"name":"Telemedicine and e-Health","volume":" ","pages":"2682-2688"},"PeriodicalIF":2.8000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Telemedicine and e-Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1089/tmj.2024.0243","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/29 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: Electronic consultations (e-consults) provide a strategic solution to address challenges in health care systems related to cost management and access to care. This study aims to investigate the multilevel patient characteristics associated with higher frequency of receiving e-consults and increased likelihood of completion. Materials and Methods: University of Colorado's electronic medical record were analyzed to study factors influencing referral types (e-consult vs. standard) and their completion rates from April 2018 to September 2023. Multivariate probit regression assessed the impact of patient-level and community-level factors (urban-rural classification, Social Vulnerability Index, and technology accessibility) on e-consult referrals and completion. Results: In 263,882 records, 92.5% were standard referrals, and 7.4% were e-consult referrals. Analysis showed that females were less likely than males (OR = 0.95, 95%CI[0.93, 0.96]), and Blacks were more likely than Whites (OR = 1.03, 95%CI[1.01,1.06]) to receive e-consult referrals. Medicaid patients had lower odds compared to those with Medicare only (OR = 1.04, 95%CI[1.00,1.07]), and rural residency was associated with lower odds (OR = 0.80, 95%CI[0.73,0.88]) of e-consult referral. Factors such as areas with higher population without internet subscription (OR = 1.03, 95%CI[1.01,1.04]) and higher social vulnerabilities (OR = 1.26, 95%CI[1.16,1.37]) increased e-consult odds. Black patients were less likely to have their referrals completed compared to Whites. Patients who resided in regions with limited computer and smartphone access, as well as higher social vulnerabilities, showed decreased odds of referral completion. Discussions and Conclusion: This study highlights the need for partnering with a variety of health care organizations, especially those serving low-income and disadvantaged populations, to enhance health care access equity through the use of e-consults.
期刊介绍:
Telemedicine and e-Health is the leading peer-reviewed journal for cutting-edge telemedicine applications for achieving optimal patient care and outcomes. It places special emphasis on the impact of telemedicine on the quality, cost effectiveness, and access to healthcare. Telemedicine applications play an increasingly important role in health care. They offer indispensable tools for home healthcare, remote patient monitoring, and disease management, not only for rural health and battlefield care, but also for nursing home, assisted living facilities, and maritime and aviation settings.
Telemedicine and e-Health offers timely coverage of the advances in technology that offer practitioners, medical centers, and hospitals new and innovative options for managing patient care, electronic records, and medical billing.