{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T03:48:06Z","timestamp":1787024886560,"version":"build-2736575974"},"reference-count":46,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Med Inform"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec sec-type=\"background\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The Hispanic community represents a sizeable community that experiences inequities in the US health care system. As the system has moved toward digital health platforms, evaluating the potential impact on Hispanic communities is critical.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"objective\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The study aimed to investigate demographic, socioeconomic, and behavioral factors contributing to low telehealth use in Hispanic communities.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"methods\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We used a retrospective observation study design to examine the study objectives. The COVID-19 Research Database Consortium provided the Analytics IQ PeopleCore consumer data and Office Alley claims data. The study period was from March 2020 to April 2021. Multiple logistic regression was used to determine the odds of using telehealth services.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"results\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We examined 3,478,287 unique Hispanic patients, 16.6% (577,396) of whom used telehealth. Results suggested that patients aged between 18 and 44 years were more likely to use telehealth (odds ratio [OR] 1.07, 95% CI 1.05-1.1;\n                      <jats:italic>P<\/jats:italic>\n                      &lt;.001) than patients aged older than 65 years. Across all age groups, patients with high incomes were at least 20% more likely to use telehealth than patients with lower incomes (\n                      <jats:italic>P<\/jats:italic>\n                      &lt;.001); patients who had a primary care physician (\n                      <jats:italic>P<\/jats:italic>\n                      =.01), exhibited high medical usage (\n                      <jats:italic>P<\/jats:italic>\n                      &lt;.001), or were interested in exercise (\n                      <jats:italic>P<\/jats:italic>\n                      =.03) were more likely to use telehealth; patients who had unhealthy behaviors such as smoking and alcohol consumption were less likely to use telehealth (\n                      <jats:italic>P<\/jats:italic>\n                      &lt;.001). Male patients were less likely than female patients to use telehealth among patients aged 65 years and older (OR 0.94, 95% CI 0.93-0.95;\n                      <jats:italic>P<\/jats:italic>\n                      &lt;.001), while male patients aged between 18 and 44 years were more likely to use telehealth (OR 1.05, 95% CI 1.03-1.07;\n                      <jats:italic>P<\/jats:italic>\n                      &lt;.001). Among patients younger than 65 years, full-time employment was positively associated with telehealth use (\n                      <jats:italic>P<\/jats:italic>\n                      &lt;.001). Patients aged between 18 and 44 years with high school or less education were 2% less likely to use telehealth (OR 0.98, 95% CI 0.97-0.99;\n                      <jats:italic>P<\/jats:italic>\n                      =.005). Results also revealed a positive association with using WebMD (WebMD LLC) among patients aged older than 44 years (\n                      <jats:italic>P<\/jats:italic>\n                      &lt;.001), while there was a negative association with electronic prescriptions among those who were aged between 18 and 44 years (\n                      <jats:italic>P<\/jats:italic>\n                      =.009) and aged between 45 and 64 years (\n                      <jats:italic>P<\/jats:italic>\n                      =.004).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"conclusions\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This study demonstrates that telehealth use among Hispanic communities is dependent upon factors such as age, gender, education, socioeconomic status, current health care engagement, and health behaviors. To address these challenges, we advocate for interdisciplinary approaches that involve medical professionals, insurance providers, and community-based services actively engaging with Hispanic communities and promoting telehealth use. We propose the following recommendations: enhance access to health insurance, improve access to primary care providers, and allocate fiscal and educational resources to support telehealth use. As telehealth increasingly shapes health care delivery, it is vital for professionals to facilitate the use of all available avenues for accessing care.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2196\/57717","type":"journal-article","created":{"date-parts":[[2024,5,12]],"date-time":"2024-05-12T02:36:03Z","timestamp":1715481363000},"page":"e57717-e57717","source":"Crossref","is-referenced-by-count":4,"title":["Telehealth Uptake Among Hispanic People During COVID-19: Retrospective Observational Study"],"prefix":"10.2196","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6249-1464","authenticated-orcid":false,"given":"Di","family":"Shang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8344-7427","authenticated-orcid":false,"given":"Cynthia","family":"Williams","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0833-8917","authenticated-orcid":false,"given":"Hera","family":"Culiqi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2024,7,24]]},"reference":[{"issue":"4","key":"R1","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1177\/0022146519884538","article-title":"Longer-but harder-lives?: the Hispanic health paradox and the social determinants of racial, ethnic, and immigrant-native health disparities from midlife through late life","volume":"60","author":"Boen","journal-title":"J Health Soc Behav"},{"issue":"1","key":"R2","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1111\/ssqu.12551","article-title":"Update on racial disparities in access to healthcare: an application of nonlinear decomposition techniques","volume":"100","author":"Oguz","journal-title":"Soc Sci Quart"},{"issue":"1","key":"R3","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/s10620-021-06842-5","article-title":"Racial and socioeconomic disparities in utilization of telehealth in patients with liver disease during COVID-19","volume":"67","author":"Wegermann","journal-title":"Dig Dis Sci"},{"issue":"5","key":"R4","doi-asserted-by":"publisher","DOI":"10.2196\/23905","article-title":"Telehealth use by age and race at a single academic medical center during the COVID-19 pandemic: retrospective cohort study","volume":"23","author":"Stevens","journal-title":"J Med Internet Res"},{"issue":"1","key":"R5","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1177\/0194599820947667","article-title":"Telemedicine in minority and socioeconomically disadvantaged communities amidst COVID-19 pandemic","volume":"164","author":"Ramirez","journal-title":"Otolaryngol Head Neck Surg"},{"issue":"9","key":"R6","doi-asserted-by":"publisher","DOI":"10.2196\/21012","article-title":"Understanding the intention to use telehealth services in underserved Hispanic border communities: cross-sectional study","volume":"22","author":"Ghaddar","journal-title":"J Med Internet Res"},{"issue":"10","key":"R7","doi-asserted-by":"publisher","first-page":"2732","DOI":"10.1111\/jgs.17354","article-title":"Older adults' access to primary care: gender, racial, and ethnic disparities in telemedicine","volume":"69","author":"Ryskina","journal-title":"J Am Geriatr Soc"},{"issue":"1","key":"R8","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1177\/1357633X211051677","article-title":"Disparities in telehealth utilization during the COVID-19 pandemic: findings from a nationally representative survey in the United States","volume":"30","author":"Zhang","journal-title":"J Telemed Telecare"},{"issue":"1","key":"R9","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1177\/1357633X20963893","article-title":"Disparities in the use of telehealth at the onset of the COVID-19 public health emergency","volume":"29","author":"Pierce","journal-title":"J Telemed Telecare"},{"issue":"12","key":"R10","doi-asserted-by":"publisher","first-page":"1949","DOI":"10.1093\/jamia\/ocaa216","article-title":"Characteristics of telehealth users in NYC for COVID-related care during the coronavirus pandemic","volume":"27","author":"Weber","journal-title":"J Am Med Inform Assoc"},{"issue":"9","key":"R11","doi-asserted-by":"publisher","DOI":"10.2196\/29959","article-title":"Disparities in outpatient and telehealth visits during the COVID-19 pandemic in a large integrated health care organization: retrospective cohort study","volume":"23","author":"Qian","journal-title":"J Med Internet Res"},{"key":"R12","unstructured":"Increasing access to health insurance benefits everyone: health consequences of being uninsured. National Immigration Law Center. Aug2017. URL: https:\/\/www.nilc.org\/wp-content\/uploads\/2017\/08\/insurance-access-health-consequences-2017-08.pdf [Accessed 28-07-2022]"},{"issue":"4","key":"R13","doi-asserted-by":"publisher","first-page":"1192","DOI":"10.1002\/cam4.4518","article-title":"Disparities in telemedicine during COVID-19","volume":"11","author":"Qian","journal-title":"Cancer Med"},{"issue":"2","key":"R14","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1111\/1468-0009.12509","article-title":"Rapid transition to telehealth and the digital divide: implications for primary care access and equity in a post-COVID era","volume":"99","author":"Chang","journal-title":"Milbank Q"},{"issue":"3","key":"R15","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1001\/jamaoto.2020.5161","article-title":"Socioeconomic disparities in patient use of telehealth during the coronavirus disease 2019 surge","volume":"147","author":"Darrat","journal-title":"JAMA Otolaryngol Head Neck Surg"},{"issue":"9","key":"R16","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s11920-021-01274-4","article-title":"Disparities in health care and the digital divide","volume":"23","author":"Saeed","journal-title":"Curr Psychiatry Rep"},{"issue":"2","key":"R17","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.amepre.2018.04.004","article-title":"The relationship between life satisfaction and healthcare utilization: a longitudinal study","volume":"55","author":"Goel","journal-title":"Am J Prev Med"},{"issue":"6","key":"R18","doi-asserted-by":"publisher","first-page":"2375","DOI":"10.1007\/s40615-021-01174-6","article-title":"Telehealth interventions to improve diabetes management among Black and Hispanic patients: a systematic review and meta-analysis","volume":"9","author":"Anderson","journal-title":"J Racial Ethn Health Disparities"},{"key":"R19","unstructured":"How patient privacy is being protected. COVID19 Research Database. URL: https:\/\/covid19researchdatabase.org\/ [Accessed 23-07-2024]"},{"issue":"9","key":"R20","first-page":"41","volume":"103","author":"Barry","journal-title":"R I Med J (2013)"},{"issue":"1","key":"R21","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1007\/s13721-021-00300-y","article-title":"Telehealth and the digital divide as a social determinant of health during the COVID-19 pandemic","volume":"10","author":"Clare","journal-title":"Netw Model Anal Health Inform Bioinform"},{"key":"R22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcf.2021.09.006","article-title":"Telehealth use in cystic fibrosis during COVID-19: association with race, ethnicity, and socioeconomic factors","volume":"20 Suppl 3","author":"Albon","journal-title":"J Cyst Fibros"},{"issue":"5","key":"R23","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1093\/jamia\/ocy182","article-title":"Disconnected: a survey of users and nonusers of telehealth and their use of primary care","volume":"26","author":"Liaw","journal-title":"J Am Med Inform Assoc"},{"issue":"3","key":"R24","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1111\/phn.12385","article-title":"The impact of health and health insurance literacy on access to care for Hispanic\/Latino communities","volume":"35","author":"Edward","journal-title":"Public Health Nurs"},{"issue":"1","key":"R25","doi-asserted-by":"publisher","first-page":"e15","DOI":"10.2337\/dc20-2016","article-title":"Racial and geographic disparities in internet use in the U.S. among patients with hypertension or diabetes: implications for telehealth in the era of COVID-19","volume":"44","author":"Jain","journal-title":"Diabetes Care"},{"issue":"4","key":"R26","doi-asserted-by":"publisher","first-page":"917","DOI":"10.1097\/AOG.0000000000003728","article-title":"Racial and ethnic disparities in perinatal insurance coverage","volume":"135","author":"Daw","journal-title":"Obstet Gynecol"},{"issue":"3","key":"R27","volume":"5","author":"Chau","journal-title":"SMU Data Science Review"},{"key":"R28","volume":"29","author":"Agate","journal-title":"Harv J Hisp Policy"},{"issue":"1","key":"R29","doi-asserted-by":"publisher","first-page":"1370","DOI":"10.1186\/s12913-022-08790-w","article-title":"Primary care virtual resource use prior and post COVID-19 pandemic onset","volume":"22","author":"Haun","journal-title":"BMC Health Serv Res"},{"key":"R30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cct.2022.106689","article-title":"Transition to telehealth: challenges and benefits of conducting group-based smoking and alcohol treatment virtually","volume":"114","author":"Vinci","journal-title":"Contemp Clin Trials"},{"issue":"8","key":"R31","doi-asserted-by":"publisher","DOI":"10.1007\/s11906-019-0966-3","article-title":"Telehealth treatment for alcohol misuse: reviewing telehealth approaches to increase engagement and reduce risk of alcohol-related hypertension","volume":"21","author":"Blalock","journal-title":"Curr Hypertens Rep"},{"key":"R32","doi-asserted-by":"publisher","DOI":"10.4178\/epih.e2021026","article-title":"Trends in health behaviors over 20 years: findings from the 1998-2018 Korea National Health and Nutrition Examination Survey","volume":"43","author":"Kim","journal-title":"Epidemiol Health"},{"issue":"4","key":"R33","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1093\/gerona\/glaa264","article-title":"Black\u2013White disparities in social and behavioral determinants of health index and their associations with self-rated health and functional limitations in older adults","volume":"76","author":"Rhee","journal-title":"J Gerontol A Biol Sci Med Sci"},{"issue":"11","key":"R34","doi-asserted-by":"publisher","first-page":"2109","DOI":"10.1080\/13607863.2020.1793903","article-title":"Alcohol use among older adults and health care utilization","volume":"25","author":"Bares","journal-title":"Aging Ment Health"},{"issue":"1","key":"R35","doi-asserted-by":"publisher","DOI":"10.1186\/s12889-021-12309-z","article-title":"The effects of smoking, regular drinking, and unhealthy weight on health care utilization in China","volume":"21","author":"Li","journal-title":"BMC Public Health"},{"issue":"5","key":"R36","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1089\/pop.2020.0186","article-title":"Health inequalities in the use of telehealth in the United States in the lens of COVID-19","volume":"23","author":"Jaffe","journal-title":"Popul Health Manag"},{"issue":"S1","key":"R37","doi-asserted-by":"publisher","DOI":"10.17485\/ijst\/2015\/v8iS1\/63141","article-title":"A study on the acceptance factor for telehealth service according to health status by group","volume":"8","author":"Kim","journal-title":"Indian J Sci Technol"},{"issue":"2","key":"R38","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph21020131","article-title":"Predictors of patient engagement in telehealth-delivered tobacco cessation treatment during the COVID-19 pandemic","volume":"21","author":"Jagielo","journal-title":"Int J Environ Res Public Health"},{"issue":"SUPPL 1","key":"R39","doi-asserted-by":"publisher","first-page":"193A","DOI":"10.1111\/acer.14628","article-title":"Preliminary feasibility and acceptability of alcohol behavioral couple therapy delivered via home-based telehealth [Abstract]","volume":"45","author":"Flanagan","journal-title":"Alcohol Clin Exp Res"},{"key":"R40","doi-asserted-by":"publisher","DOI":"10.1016\/j.josat.2022.208938","article-title":"Determinants of preference for telehealth versus in-person treatment for substance use disorders: a discrete choice experiment","volume":"146","author":"Tauscher","journal-title":"J Subst Use Addict Treat"},{"issue":"3","key":"R41","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1017\/cts.2018.31","article-title":"Realizing the full potential of precision health: the need to include patient-reported health behavior, mental health, social determinants, and patient preferences data","volume":"2","author":"Glasgow","journal-title":"J Clin Transl Sci"},{"key":"R42","unstructured":"Primary care. American Academy of Family Physicians. 2022. URL: https:\/\/www.aafp.org\/about\/policies\/all\/primary-care.html#:~:text=A%20primary%20care%20practice%20serves,physician%20and%20health%20care%20team [Accessed 28-07-2022]"},{"issue":"Suppl","key":"R43","doi-asserted-by":"publisher","first-page":"S48","DOI":"10.3122\/jabfm.2021.S1.200202","article-title":"Capacity of primary care to deliver telehealth in the United States","volume":"34","author":"Jetty","journal-title":"J Am Board Fam Med"},{"issue":"1","key":"R44","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1186\/s12939-018-0820-2","article-title":"Disruption as opportunity: impacts of an organizational health equity intervention in primary care clinics","volume":"17","author":"Browne","journal-title":"Int J Equity Health"},{"issue":"2_suppl","key":"R45","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1177\/1073110519857314","article-title":"Broadband access as a public health issue: the role of law in expanding broadband access and connecting underserved communities for better health outcomes","volume":"47","author":"Bauerly","journal-title":"J Law Med Ethics"},{"issue":"8","key":"R46","doi-asserted-by":"publisher","first-page":"1123","DOI":"10.2105\/AJPH.2020.305784","article-title":"Broadband internet is a social determinant of health","volume":"110","author":"Benda","journal-title":"Am J Public Health"}],"container-title":["JMIR Medical Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/medinform.jmir.org\/2024\/1\/e57717","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T17:48:40Z","timestamp":1782841720000},"score":1,"resource":{"primary":{"URL":"https:\/\/medinform.jmir.org\/2024\/1\/e57717"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,24]]},"references-count":46,"URL":"https:\/\/doi.org\/10.2196\/57717","relation":{},"ISSN":["2291-9694"],"issn-type":[{"value":"2291-9694","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,24]]},"article-number":"v12i4e57717"}}