| Literature DB >> 35016874 |
Colin J McCarthy1, Rahul A Sheth2, Rakhi J Patel2, Sheree H Cheung2, Nicole Z Simon3, Steven Y Huang4, Sanjay Gupta5.
Abstract
OBJECTIVE: To evaluate the clinical, operational, and financial effects of using telemedicine services in an academic interventional radiology setting during the coronavirus disease 2019 pandemic and to identify potential barriers to equitable telemedicine access for patients.Entities:
Keywords: Evaluation and management; interventional radiology; telemedicine
Mesh:
Year: 2021 PMID: 35016874 PMCID: PMC8651524 DOI: 10.1016/j.jacr.2021.10.022
Source DB: PubMed Journal: J Am Coll Radiol ISSN: 1546-1440 Impact factor: 6.240
Fig. 1Relative distribution of all telemedicine encounters based on patient’s home ZIP code (April 2020 to August 2021). A total of nine visits were performed for residents of US overseas territories (not shown).
Fig. 2Graph outlining distribution of telephone encounters, in-person consultations, and video consultations over the study period. E&M = evaluation and management.
Fig. 3Comparison of evaluation and management (E&M) revenue with number of clinic encounters over a 21-month period, during which both clinical and revenue data were available (September 2019 to May 2021). APP = advanced practice providers.
Characteristics of patients accessing in-person and telemedicine services over the study period
| Characteristic | In-Person Visit | Telemedicine | |
|---|---|---|---|
| Video | Audio Only (Telephone) | ||
| Gender, n (%) | |||
| Male | 2,537 (54.0) | 1,079 (48.8) | 4,206 (53.6) |
| Female | 2,161 (46.0) | 1,130 (51.2) | 3,641 (46.4) |
| Mean age, years ± SD | 62 ± 13.3 | 58.1 ± 14.0 | 62.5 ± 13.3 |
| Race, n (%) | |||
| American Indian or Alaska Native | 23 (0.5) | 5 (0.3) | 41 (0.5) |
| Asian | 268 (5.7) | 114 (5.2) | 415 (5.3) |
| Black or African American | 397 (8.5) | 194 (8.8) | 732 (9.3) |
| Declined to answer | 23 (0.5) | 16 (0.7) | 60 (0.8) |
| Native Hawaiian or other Pacific Islander | 10 (0.2) | 1 (0.0) | 8 (0.1) |
| Other or unknown | 312 (6.6) | 115 (5.2) | 512 (6.5) |
| White or Caucasian | 3,665 (78.0) | 1,764 (79.9) | 6,079 (77.5) |
| Insurance, n (%) | |||
| Commercial | 2,252 (47.9) | 1,329 (60.2) | 3,664 (46.7) |
| Medicare or Medicaid | 2,205 (46.9) | 819 (37.1) | 3,916 (49.9) |
| Government or other | 138 (2.9) | 36 (1.6) | 162 (2.1) |
| Not listed | 103 (2.2) | 25 (1.1) | 105 (1.3) |
| Total, n | 4,698 | 2,209 | 7,847 |
Fig. 4The mean and median annual household income (as estimated using US Census Bureau Data) for all telemedicine encounters were $73,883 and $67,470, respectively. Encounters in which estimated median annual household income was available were divided into quartiles: quartile 1 = $51,309, quartile 2 = $67,470, and quartile 3 = $92,327.