{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,7]],"date-time":"2026-11-07T20:23:45Z","timestamp":1794083025461,"version":"4.8.0"},"reference-count":21,"publisher":"SAGE Publications","issue":"12","license":[{"start":{"date-parts":[[2026,8,9]],"date-time":"2026-08-09T00:00:00Z","timestamp":1786233600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Telemedicine and e-Health"],"published-print":{"date-parts":[[2026,12,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Underserved populations experience structural barriers to health care access, including transportation limitations and socioeconomic constraints, which contribute to high no-show rates. Telehealth may mitigate these barriers; however, its impact on objective health care utilization metrics requires systematic evaluation. The objective of this article is to compare visit completion and no-show rates between telehealth and in-person care among underserved populations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>A systematic search of PubMed (January 2016\u2013January 2026) was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. We included peer-reviewed studies focusing on rural, low-income, Medicaid-insured, and racial\/ethnic minority populations that reported objective attendance data. This systematic review was prospectively registered in PROSPERO on February 18, 2026 (Registration No. CRD420261320752).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Seventeen studies encompassing over 2.5 million encounters were included. Telehealth was consistently associated with reduced no-show rates across diverse settings. In a large safety-net system, no-show rates decreased from 25.1% to 14.6%. In primary care, telehealth narrowed the completion gap between Black and non-Black patients by 11.7 percentage points. Specialty applications, including postpartum monitoring and HIV care, demonstrated higher visit completion rates with telehealth.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>Telehealth is associated with improved appointment adherence and reduced disparities in health care access among underserved populations. Sustaining these benefits will require continued policy support, including reimbursement for audio-only modalities.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/15305627261477817","type":"journal-article","created":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T01:34:48Z","timestamp":1786325688000},"page":"1233-1239","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Telehealth Versus In-Person Care: A Systematic Review of Appointment Attendance and Engagement in Vulnerable Communities"],"prefix":"10.1177","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-8043-6228","authenticated-orcid":false,"given":"Madison","family":"Sigler","sequence":"first","affiliation":[{"name":"Orlando College of Osteopathic Medicine, Orlando, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3550-2228","authenticated-orcid":false,"given":"Elly","family":"Georgas","sequence":"additional","affiliation":[{"name":"Orlando College of Osteopathic Medicine, Orlando, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyrum","family":"Brodniak","sequence":"additional","affiliation":[{"name":"Orlando College of Osteopathic Medicine, Orlando, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,8,9]]},"reference":[{"key":"e_1_3_4_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11524-023-00721-2"},{"issue":"2","key":"e_1_3_4_3_1","first-page":"116","article-title":"Analysis and observations of telehealth in primary care follow-up appointments for vulnerable populations","volume":"121","author":"Kannenberg B","year":"2022","unstructured":"2.Kannenberg B, , Stadter G. Analysis and observations of telehealth in primary care follow-up appointments for vulnerable populations. WMJ 2022;121(2):116\u2013120.","journal-title":"WMJ"},{"key":"e_1_3_4_4_1","doi-asserted-by":"publisher","DOI":"10.3122\/jabfm.2022.03.210518"},{"key":"e_1_3_4_5_1","doi-asserted-by":"publisher","DOI":"10.1089\/tmj.2022.0104"},{"key":"e_1_3_4_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10900-013-9681-1"},{"key":"e_1_3_4_7_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2023.24252"},{"key":"e_1_3_4_8_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12913-015-1243-z"},{"key":"e_1_3_4_9_1","first-page":"e88057","article-title":"Telehealth use and access to neurology outpatient clinical services for children","volume":"84","author":"Nageswaran S","year":"2023","unstructured":"8.Nageswaran S, , Grefe A, , Chen S-H, et al. Telehealth use and access to neurology outpatient clinical services for children. N C Med J 2023;84:e88057.","journal-title":"N C Med J"},{"key":"e_1_3_4_10_1","doi-asserted-by":"publisher","DOI":"10.1177\/21501319251316338"},{"key":"e_1_3_4_11_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocaa221"},{"key":"e_1_3_4_12_1","doi-asserted-by":"publisher","DOI":"10.1080\/07853890.2021.2019826"},{"key":"e_1_3_4_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.hlpt.2020.08.001"},{"key":"e_1_3_4_14_1","doi-asserted-by":"publisher","DOI":"10.4103\/meajo.MEAJO_19_16"},{"key":"e_1_3_4_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11606-023-08236-x"},{"key":"e_1_3_4_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpeds.2024.113911"},{"key":"e_1_3_4_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.acap.2022.03.010"},{"key":"e_1_3_4_18_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12913-023-09994-4"},{"key":"e_1_3_4_19_1","doi-asserted-by":"publisher","DOI":"10.1097\/CORR.0000000000001396"},{"key":"e_1_3_4_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10461-022-03604-w"},{"key":"e_1_3_4_21_1","doi-asserted-by":"publisher","DOI":"10.1177\/21501319221114831"},{"key":"e_1_3_4_22_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0275741"}],"container-title":["Telemedicine and e-Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/15305627261477817","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/15305627261477817","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/15305627261477817","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,11,7]],"date-time":"2026-11-07T19:46:56Z","timestamp":1794080816000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/15305627261477817"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,9]]},"references-count":21,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2026,12,1]]}},"alternative-id":["10.1177\/15305627261477817"],"URL":"https:\/\/doi.org\/10.1177\/15305627261477817","relation":{},"ISSN":["1530-5627","1556-3669"],"issn-type":[{"value":"1530-5627","type":"print"},{"value":"1556-3669","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,9]]}}}