| Literature DB >> 35545754 |
Amy S Grinberg1,2,3, Brenda T Fenton1,2,3,4, Kaicheng Wang1,2,3,4, Hayley Lindsey1,2,3,4, Roberta E Goldman2,5,6, Sean Baird7, Samantha Riley7, Laura Burrone1,2,3, Elizabeth K Seng2,8,9, Teresa M Damush2,7,10,11, Jason J Sico1,2,3,4.
Abstract
OBJECTIVE: The objective of this study was to evaluate the utilization of telehealth for headache services within the Veterans Health Administration's facilities housing a Headache Centers of Excellence and multiple stakeholder's perspectives to inform future telehealth delivery.Entities:
Keywords: access to care; headache; mixed methods; telehealth
Mesh:
Year: 2022 PMID: 35545754 PMCID: PMC9348149 DOI: 10.1111/head.14310
Source DB: PubMed Journal: Headache ISSN: 0017-8748 Impact factor: 5.311
Demographics of patients with headache encounter(s) served in the pre‐pandemic (August 2019–February 2020) and pandemic (March 2020–September 2020) across the 12 Veteran Health Administration’s Headache Centers of Excellence
| Unique patients per period | Total unique in 14‐month period ( |
| ||
|---|---|---|---|---|
| Pre‐pandemic (August 2019–February 2020) ( | Pandemic (March 2020–September 2020) ( | |||
| Type of visit (yes vs. no) not mutually exclusive | ||||
| In‐person | 44,037 (98.6%) | 21,188 (74.0%) | 54,239 (81.0%) | <0.001 |
| VVC | 405 (0.9%) | 9563 (33.4%) | 9829 (16.7%) | <0.001 |
| CVT | 723 (1.6%) | 200 (0.7%) | 882 (1.5%) | <0.001 |
| Telephone | 174 (0.4%) | 2756 (9.6%) | 2884 (4.9%) | <0.001 |
| Age (by FY19) | ||||
| Mean (SD) | 49.8 (14.9) | 49.0 (14.4) | 49.6 (15.0) | <0.001 |
| <45 | 18,218 (40.8%) | 12,246 (42.8%) | 24,439 (41.6%) | <0.001 |
| 45–64 | 17,995 (40.3%) | 11,700 (40.9%) | 23,346 (39.7%) | |
| ≥65 | 8456 (18.9%) | 4675 (16.3%) | 11,013 (18.7%) | |
| Gender | ||||
| Women | 11,672 (26.1%) | 8256 (28.8%) | 15,334 (26.1%) | <0.001 |
| Race/ethnicity | ||||
| White | 24,690 (55.3%) | 15,149 (52.9%) | 32,237 (54.8%) | <0.001 |
| Black | 10,106 (22.6%) | 6522 (22.8%) | 13,152 (22.4%) | |
| Hispanic | 5894 (13.2%) | 4241 (14.8%) | 7986 (13.6%) | |
| Other | 3979 (8.9%) | 2709 (9.5%) | 5423 (9.2%) | |
| Rurality | ||||
| Rural | 8830 (19.8%) | 5071 (17.7%) | 11,347 (19.3%) | <0.001 |
| Urban | 35,820 (80.2%) | 23,542 (82.3%) | 47,428 (80.7%) | |
| Unknown | 19 (0.0%) | 8 (0.0%) | 23 (0.0%) | |
| Headache center | ||||
| Birmingham, AL | 3104 (6.9%) | 1640 (5.7%) | 3749 (6.4%) | <0.001 |
| Cleveland, OH | 4350 (9.7%) | 2414 (8.4%) | 5525 (9.4%) | |
| Minneapolis, MN | 3050 (6.8%) | 1603 (5.6%) | 3905 (6.6%) | |
| Palo Alto, CA | 1935 (4.3%) | 1004 (3.5%) | 2547 (4.3%) | |
| Pittsburgh, PA | 2123 (4.8%) | 1412 (4.9%) | 2860 (4.9%) | |
| Richmond, VA | 4119 (9.2%) | 2417 (8.4%) | 5188 (8.8%) | |
| Salt Lake City, UT | 2729 (6.1%) | 1522 (5.3%) | 3483 (5.9%) | |
| San Antonio, TX | 6580 (14.7%) | 4565 (15.9%) | 8817 (15.0%) | |
| Tampa, FL | 5360 (12.0%) | 4138 (14.5%) | 7455 (12.7%) | |
| Orlando, FL | 5756 (12.9%) | 4145 (14.5%) | 7829 (13.3%) | |
| West Haven, CT | 1914 (4.3%) | 1073 (3.7%) | 2409 (4.1%) | |
| Los Angeles, CA | 3649 (8.2%) | 2688 (9.4%) | 5031 (8.6%) | |
Abbreviations: CVT, Clinical Video Telehealth; VVC, VA Video Connect.
Not mutually exclusive categories.
Estimated monthly patient visits and IRRs for pre‐pandemic and pandemic periods
| Type of visit | Pre‐pandemic (August 2019–February 2020) | Pandemic (March 2020–September 2020) | IRRs |
|
|---|---|---|---|---|
| In‐person | 12,794 (95.6) | 6099.2 (175.7) | 0.48 (0.45, 0.51) | <0.0001 |
| VVC | 73.9 (6.8) | 151.2 (8.0) | 2.05 (1.66, 2.52) | <0.0001 |
| CVT | 100.3 (7.9) | 130.5 (47.9) | 1.30 (0.62, 2.72) | 0.484 |
| Telephone | 23.9 (3.7) | 362.9 (34.6) | 15.2 (10.7, 21.6) | <0.0001 |
Abbreviations: CVT, Clinical Video Telehealth; IRRs, incidence rate ratios; VVC, VA Video Connect.
FIGURE 1Monthly counts of in‐person visits, telehealth, and unique patients
Relative risk of visit type by demographic and geographic factors during the pandemic period
| In‐person | VVC | CVT | Telephone | |||||
|---|---|---|---|---|---|---|---|---|
| RR (95% CI) |
| RR (95% CI) |
| RR (95% CI) |
| RR (95% CI) |
| |
| Gender | ||||||||
| Men | 0.90 (0.98–0.99) | Ref. | 1.25 (1.23–1.26) | Ref. | 0.87 (0.81–0.94) | Ref. | 1.05 (1.02–1.07) | Ref. |
| Women | 1.00 (0.99–1.01) | 0.070 | 1.25 (1.23–1.27) | 0.865 | 0.89 (0.76–1.04) | 0.834 | 1.04 (1.01–1.07) | 0.788 |
| Age, years | ||||||||
| <45 | 0.97 (0.96–0.98) | Ref. | 1.25 (1.23–1.26) | Ref. | 0.86 (0.77–0.95) | Ref. | 1.02 (1.00–1.05) | Ref. |
| 45–64 | 0.99 (0.98–1.00) | 0.003 | 1.25 (1.23–1.27) | 0.835 | 0.87 (0.78–0.98) | 0.769 | 1.05 (1.02–1.08) | 0.218 |
| ≥65 | 1.03 (1.02–1.05) | <0.0001 | 1.26 (1.22–1.30) | 0.598 | 0.93 (0.78–1.12) | 0.414 | 1.08 (1.04–1.13) | 0.037 |
| Race/ethnicity | ||||||||
| White | 1.00 (0.99–1.01) | Ref. | 1.25 (1.23–1.27) | Ref. | 0.95 (0.88–1.03) | Ref. | 1.03 (1.00–1.05) | Ref. |
| Black | 0.97 (0.96–0.98) | <0.0001 | 1.23 (1.20–1.25) | 0.201 | 0.48 (0.37–0.63) | <0.0001 | 1.09 (1.05–1.12) | 0.009 |
| Hispanic | 0.97 (0.96–0.99) | 0.0005 | 1.28 (1.25–1.31) | 0.039 | 0.98 (0.76–1.28) | 0.814 | 1.03 (0.98–1.08) | 0.975 |
| Other | 1.00 (0.98–1.02) | 0.926 | 1.23 (1.20–1.27) | 0.414 | 0.88 (0.70–1.10) | 0.507 | 1.04 (0.98–1.10) | 0.690 |
| Rurality | ||||||||
| Urban | 0.99 (0.98–0.99) | Ref. | 1.25 (1.24–1.26) | Ref. | 0.76 (0.69–0.84) | Ref. | 1.04 (1.02–1.06) | Ref. |
| Rural | 1.00 (0.99–1.01) | 0.169 | 1.23 (1.20–1.27) | 0.343 | 1.02 (0.92–1.13) | <0.0001 | 1.08 (1.03–1.12) | 0.096 |
Abbreviations: CI, confidence interval; CVT, Clinical Video Telehealth; RR, relative risk; IRRs, VVC, VA Video Connect.
Key qualitative themes for patients and clinical provider perceptions of telehealth headache services
| Pre COVID‐19 pandemic themes | Illustrative interview quotes | During COVID‐19 pandemic themes | Illustrative interview quotes | |
|---|---|---|---|---|
| Patient perspectives | Telehealth decreases the impact of medical appointments on daily responsibilities |
| Traditional in‐person visits are still desirable for some, but attendance impact ability to engage in daily responsibilities |
|
| Telehealth improves access to headache specialists |
| |||
| Telehealth is comparable to in‐person care and even enhances patient experience |
| |||
| Traditional in‐person visits have disadvantages |
| Telehealth improves access but requires availability of technology and connectivity |
| |
| Provider perspectives | Use of telehealth differs for initial encounters vs. follow‐up visits |
| Improvements in access have occurred due to telehealth |
|
| Telehealth improves access to headache specialists |
| Use of multiple delivery methods/tools for telehealth is essential to enhance patient engagement |
| |
| Appropriate infrastructure is essential for telehealth headache care |
| Openness to utilize telehealth differs for initial encounters vs. follow‐up visits |
| |
| There is a range of telehealth adopters from early to late (COVID forced) with varying recognition of the benefits and drawbacks |
|
Abbreviations: COVID‐19, coronavirus disease 2019; VVC, VA Video Connect.