| Literature DB >> 35195110 |
Vi T Le1, Deborah Fulton-Kehoe, Jeanne M Sears, Esi W Nkyekyer, Dawn M Ehde, Morgan Young, Gary M Franklin.
Abstract
OBJECTIVE: To describe telehealth trends within a population-based workers' compensation system during the COVID-19 pandemic, and to assess telehealth utilization by sociodemographic characteristics.Entities:
Mesh:
Year: 2022 PMID: 35195110 PMCID: PMC9038672 DOI: 10.1097/JOM.0000000000002520
Source DB: PubMed Journal: J Occup Environ Med ISSN: 1076-2752 Impact factor: 2.306
List of Billing Codes Used to Categorize the Type of Telehealth Encounter
| Type of Telecommunication | Codes |
| Audio-video | Place of service: 02 (telehealth) or 12 (home) Service modifiers: GT or 95 (synchronous telecommunication) |
| Phone | CPT: 99441, 99442, 99443, 98966, 98967, 98968 |
| E-visits∗ | CPT: G2061, G2062, G2063, 99421, 99422, 99423 |
CPT, Current Procedural Terminology.
E-visits are non-face-to-face communications conducted through an online patient portal.
FIGURE 1Trends in paid medical bills (top), telecommunication services by modality (middle), and percent of medical bills with telecommunication (bottom), January 2019 to October 2020. ∗ E-visits are non-face-to-face communications conducted through an online patient portal.
Telehealth Utilization by Sociodemographic Characteristics Among Workers who Received Medical Services During the COVID-19 Pandemic, March 2020 to October 2020 (N = 88,197)
| Sociodemographic characteristics | Total ( | Any Telehealth ( | No Telehealth ( |
|
| Age at injury | <0.001 | |||
| 18–24 | 9,697 | 1,700 (17.5%) | 7,997 (82.5%) | |
| 25–34 | 18,341 | 4,240 (23.1%) | 14,101 (76.9%) | |
| 35–44 | 19,085 | 5,073 (26.6%) | 14,012 (73.4%) | |
| 45–54 | 19,884 | 5,162 (26.0%) | 14,722 (74.0%) | |
| 55–64 | 17,568 | 3,915 (22.3%) | 13,653 (77.7%) | |
| >65 | 3,622 | 626 (17.3%) | 2,996 (82.7%) | |
| Sex | ||||
| Female | 27,367 | 7,372 (26.9%) | 19,995 (73.1%) | <0.001 |
| Male | 60,823 | 13,344 (21.9%) | 47,479 (78.1%) | |
| Missing | 7 | 0 (0.0%) | 7 (100%) | |
| Marital status | 0.22 | |||
| Married | 43,284 | 10,069 (23.3%) | 33,215 (76.7%) | |
| Single | 43,725 | 10,327 (23.6%) | 33,398 (76.4%) | |
| Missing | 1,188 | 320 (26.9%) | 868 (73.1%) | |
| Number of dependents | <0.001 | |||
| 0 | 76,404 | 16,591 (21.7%) | 59,813 (78.3%) | |
| >1 | 11,793 | 4,125 (35.0%) | 7,668 (65.0%) | |
| Ever had interpreter services | <0.001 | |||
| Yes | 11,451 | 3,481 (30.4%) | 7,970 (69.6%) | |
| No | 76,746 | 17,235 (22.5%) | 59,511 (77.5%) | |
| Industry† | <0.001 | |||
| Agriculture | 7,804 | 1,391 (17.8%) | 6,413 (82.2%) | |
| Arts | 5,894 | 1,336 (22.7%) | 4,558 (77.3%) | |
| Construction | 15,107 | 3,936 (26.1%) | 11,171 (73.9%) | |
| Education | 11,471 | 3,111 (27.1%) | 8,360 (72.9%) | |
| Information | 4,847 | 1,099 (22.7%) | 3,748 (77.3%) | |
| Manufacturing | 8,023 | 1,904 (23.7%) | 6,119 (76.3%) | |
| Retail/wholesale trade | 12,437 | 3,216 (25.9%) | 9,221 (74.1%) | |
| Services | 13,065 | 3,290 (25.2%) | 9,775 (74.8%) | |
| Transportation, warehousing | 4,349 | 1,260 (29.0%) | 3,089 (71.0%) | |
| Missing | 5,200 | 173 (3.3%) | 5,027 (96.7%) | |
| Year of injury | <0.001 | |||
| Prior to 2016 | 14,514 | 2,632 (18.1%) | 11,882 (81.9%) | |
| 2016 | 2,057 | 689 (33.5%) | 1,368 (66.5%) | |
| 2017 | 2,869 | 968 (33.7%) | 1,901 (66.3%) | |
| 2018 | 5,177 | 1,737 (33.6%) | 3,440 (66.4%) | |
| 2019 | 14,498 | 4,646 (32.0%) | 9,852 (68.0%) | |
| 2020 | 49,082 | 10,044 (20.5%) | 39,038 (79.5%) | |
| Nature of injuries | <0.001 | |||
| Sprains, tears, dislocations | 39,245 | 11,987 (30.5%) | 27,258 (69.5%) | |
| Open wounds | 11,115 | 1,331 (12.0%) | 9,784 (88.0%) | |
| Deafness, hearing loss or impairment | 9,236 | 234 (2.5%) | 9,002 (97.5%) | |
| Superficial wounds, bruises, burns | 9,093 | 1,637 (18.0%) | 7,456 (82.0%) | |
| Multiple injuries or conditions | 6,450 | 1,998 (31.0%) | 4,452 (69.0%) | |
| Fractures | 5,755 | 1,668 (29.0%) | 4,087 (71.0%) | |
| Intracranial | 1,824 | 560 (30.7%) | 1,264 (69.3%) | |
| Environmental (heat stroke, frostbite) | 47 | 4 (8.5%) | 43 (91.5%) | |
| Other§ | 5,125 | 1,230 (24.0%) | 3,461 (75.4%) | |
| Missing | 307 | 67 (21.8%) | 674 (80.0%) | |
P-values are from the chi-square test of descriptive variables between workers who received any type of telehealth and those who did not receive any telehealth from March 2020 to October 2020. Missing values were excluded from chi-square tests.
Industry categories: (1) Agriculture, forestry, fishing, hunting; (2) Arts, entertainment, hospitality; (3) Construction, utilities, mining; (4) Education, health care, social services; (5) Information, finance, real estate, professional, technology; (6) Manufacturing; (7) Retail/wholesale trade; (8) Services, administrative, support, waste, other (9) Transportation, warehousing.
Other types of nature of injury can consist of unspecified or non-classifiable injuries or conditions, systemic diseases and disorders, infectious and parasitic diseases, and neoplasms, cancers, and tumors.
Telehealth Utilization by Geographical Characteristics Among Workers who Received Medical Services During the COVID-19 Pandemic, March 2020 to October 2020 (N = 88,197)
| Characteristics ( | Total ( | Any Telehealth ( | No Telehealth ( |
|
| Geography of residence | <0.001 | |||
| Eastern WA | 24,457 | 5,107 (20.9%) | 19,350 (79.1%) | |
| Western WA | 59,515 | 14,672 (24.7%) | 44,843 (75.3%) | |
| Missing or out of state | 4,225 | 937 (22.2%) | 3,288 (77.8%) | |
| Rural/urban county of residence | <0.001 | |||
| Large central metro | 16,154 | 4,271 (26.4%) | 11,883 (73.6%) | |
| Large fringe metro | 24,279 | 6,532 (26.9%) | 17,747 (73.1%) | |
| Medium metro | 16,987 | 4,212 (24.8%) | 12,775 (75.2%) | |
| Small metro | 14,812 | 3,048 (20.6%) | 11,764 (79.4%) | |
| Micropolitan | 9,612 | 1,353 (14.1%) | 8,259 (85.9%) | |
| Noncore | 2,128 | 363 (17.1%) | 1,765 (82.9%) | |
| Missing or out of state | 4,225 | 937 (22.2%) | 3,288 (77.8%) | |
| Percent of county residents living below poverty level | <0.001 | |||
| Quantile 1 (0–8.9%) | 29,007 | 7,475 (25.8%) | 21,532 (74.2%) | |
| Quantile 2 (9.0–10.4%) | 18,371 | 5,069 (27.6%) | 13,302 (72.4%) | |
| Quantile 3 (10.5–13.7%) | 16,602 | 4,046 (24.4%) | 12,556 (75.6%) | |
| Quantile 4 (13.8–26.5%) | 19,992 | 3,189 (16.0%) | 16,803 (84.0%) | |
| Missing or out of state | 4,225 | 937 (22.2%) | 3,288 (77.8%) | |
| Percent of county households without broadband Internet | <0.001 | |||
| Quantile 1 (0–6.6%) | 25,730 | 6,709 (26.1%) | 19,021 (73.9%) | |
| Quantile 2 (6.7–9.3%) | 21,543 | 5,815 (27.0%) | 15,728 (73.0%) | |
| Quantile 3 (9.5–11.3%) | 16,263 | 3,840 (23.6%) | 12,423 (76.4%) | |
| Quantile 4 (11.4–28.8%) | 20,436 | 3,415 (16.7%) | 17,021 (83.3%) | |
| Missing or out of state | 4,225 | 937 (22.2%) | 3,288 (77.8%) |
P-values are from the chi-square test of descriptive variables between workers who received any type of telehealth and those who did not receive any telehealth from March 2020 to October 2020. Missing or out-of-state values were excluded from chi-square tests.