Telehealth and Rural-Urban Differences in Receipt of Pain Care in the Veterans Health Administration
Abstract
Objective: Examine changes in specialty pain utilization in the Veterans Health Administration (VHA) after establishing a virtual interdisciplinary pain team (TelePain). Design: Retrospective cohort study. Setting: A single VHA healthcare system, 2015–2019. Subjects: 33,169 patients with chronic pain-related diagnoses. Methods: We measured specialty pain utilization (in-person and telehealth) among patients with moderate to severe chronic pain. We used generalized estimating equations to test the association of time (pre- or post-TelePain) and rurality on receipt of specialty pain care. Results: Among patients with moderate to severe chronic pain, the reach of specialty pain care increased from 11.1% to 16.2% in the pre- to post-TelePain periods (adjusted odds ratio [aOR]: 1.37, 95% confidence interval [CI]: 1.26–1.49). This was true of both urban patients (aOR: 1.62, 95% CI: 1.53–1.71) and rural patients (aOR: 1.16, 95% CI: 0.99–1.36), although the difference for rural patients was not statistically significant. Among rural patients who received specialty pain care, a high percentage of the visits were delivered by telehealth (nearly 12% in the post-TelePain period), much higher than among urban patients (3%). Conclusions: We observed increased use of specialty pain services among all patients with chronic pain. Although rural patients did not achieve the same degree of access and utilization overall as urban patients, their use of pain telehealth increased substantially and may have substituted for in-person visits. Targeted implementation efforts may be needed to further increase the reach of services to patients living in areas with limited specialty pain care options.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The effectiveness of integrated interdisciplinary chronic pain programs on improving multi-dimensional pain outcomes is well-established in VA settings.
“The effectiveness of integrated interdisciplinary chronic pain programs on improving multi-dimensional pain outcomes is well-established in VA settings [32–36].”
From Benchmark findings from a veteran electronic patient-reported outcomes evaluation from a chronic pain management telehealth program (2024) · cites this paper as [34]
Cites
Damschroder, L. J., Aron, D. C., Keith, R. E., Kirsh, S. R., Alexander, J. A., & Lowery, J. C. (2009) · Implementation Science · doi:10.1186/1748-5908-4-50 · Cited by 14,496 · see citing works
CDC Guideline for Prescribing Opioids for Chronic Pain — United States, 2016
Dowell, D., Haegerich, T. M., & Chou, R. (2016) · MMWR. Recommendations and Reports · doi:10.15585/mmwr.rr6501e1 · Cited by 2,697 · see citing works
An introduction to implementation science for the non-specialist
Bauer, M. S., Damschroder, L. J., Hagedorn, H., Smith, J. L., & Kilbourne, A. M. (2015) · BMC Psychology · doi:10.1186/s40359-015-0089-9 · Cited by 2,023 · see citing works
Menendez, M. E., Neuhaus, V., van Dijk, N. C., & Ring, D. (2014) · Clinical Orthopaedics and Related Research · doi:10.1007/s11999-014-3686-7 · Cited by 531 · see citing works
Eccleston, C., Blyth, F. M., Dear, B. F., Fisher, E. A., Keefe, F. J., Lynch, M. E., Palermo, T. M., Reid, M. C., & Williams, A. C. D. C. (2020) · Pain · doi:10.1097/j.pain.0000000000001885 · Cited by 480 · see citing works
Severe pain in veterans: the effect of age and sex, and comparisons with the general population
Nahin, R. L. (2017) · The Journal of Pain · doi:10.1016/j.jpain.2016.10.021 · Cited by 293 · see citing works
Paulozzi, L. J., & Xi, Y. (2008) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.1626 · Cited by 280 · see citing works
Outcomes of a Partnered Facilitation Strategy to Implement Primary Care–Mental Health
Kirchner, J. E., Ritchie, M. J., Pitcock, J. A., Parker, L. E., Curran, G. M., & Fortney, J. C. (2014) · Journal of General Internal Medicine · doi:10.1007/s11606-014-3027-2 · Cited by 256 · see citing works
Ferguson, J. M., Jacobs, J., Yefimova, M., Greene, L., Heyworth, L. K., & Zulman, D. M. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa284 · Cited by 256 · see citing works
Kroenke, K., Alford, D. P., Argoff, C. E., Canlas, B. R., Covington, E. C., Frank, J. W., Haake, K. J., Hanling, S. R., Hooten, W. M., Kertesz, S. G., et al. (2018) · Pain Medicine · doi:10.1093/pm/pny307 · Cited by 220 · see citing works
Oliva, E. M., Bowe, T. R., Tavakoli, S., Martins, S. B., Lewis, E. T., Paik, M. C., Wiechers, I. R., Henderson, P., Harvey, M., Avoundjian, T., et al. (2017) · Psychological Services · doi:10.1037/ser0000099 · Cited by 198 · see citing works
The relationship between PTSD and chronic pain: Mediating role of coping strategies and depression
Morasco, B. J., Lovejoy, T. I., Lu, M., Turk, D. C., Lewis, L., & Dobscha, S. K. (2013) · Pain · doi:10.1016/j.pain.2013.01.001 · Cited by 149 · see citing works
Accidental Poisoning Mortality Among Patients in the Department of Veterans Affairs Health System
Bohnert, A. S. B., Ilgen, M. A., Galea, S., McCarthy, J. F., & Blow, F. C. (2011) · Medical Care · doi:10.1097/mlr.0b013e318202aa27 · Cited by 144 · see citing works
Mayhew, M., DeBar, L., Deyo, R. A., Kerns, R. D., Goulet, J. L., Brandt, C., & Korff, M. V. (2019) · Journal of Pain · doi:10.1016/j.jpain.2019.05.006 · Cited by 132 · see citing works
García, M. C., Heilig, C. M., Lee, S., Faul, M., Guy, G. P., Iademarco, M. F., Hempstead, K., Raymond, D., & Gray, J. (2019) · MMWR Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6802a1 · Cited by 128 · see citing works
Heapy, A. A., Higgins, D. M., Goulet, J. L., LaChappelle, K. M., Driscoll, M. A., Czlapinski, R. A., Buta, E., Piette, J. D., Krein, S. L., & Kerns, R. D. (2017) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2017.0223 · Cited by 101 · see citing works
Implementation of the Veterans Health Administration National Pain Management Strategy
Kerns, R. D., Philip, E. J., Lee, A. W., & Rosenberger, P. H. (2011) · Translational Behavioral Medicine · doi:10.1007/s13142-011-0094-3 · Cited by 98 · see citing works
Changing Trends in Opioid Overdose Deaths and Prescription Opioid Receipt Among Veterans
Lin, L. (., Peltzman, T., McCarthy, J. F., Oliva, E. M., Trafton, J. A., & Bohnert, A. S. B. (2019) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2019.01.016 · Cited by 90 · see citing works
Hadlandsmyth, K., Mosher, H. J., Weg, M. W. V., & Lund, B. C. (2018) · Journal of General Internal Medicine · doi:10.1007/s11606-017-4283-8 · Cited by 69 · see citing works
Advancing the Pain Agenda in the Veteran Population
Gallagher, R. M. (2016) · Anesthesiology Clinics · doi:10.1016/j.anclin.2016.01.003 · Cited by 64 · see citing works
U.S. Board-Certified Pain Physician Practices: Uniformity and Census Data of Their Locations
Breuer, B., Pappagallo, M., Tai, J. Y., & Portenoy, R. K. (2006) · Journal of Pain · doi:10.1016/j.jpain.2006.08.009 · Cited by 56 · see citing works
Goode, A. P., Freburger, J. K., & Carey, T. S. (2012) · The Journal of Rural Health · doi:10.1111/j.1748-0361.2012.00436.x · Cited by 49 · see citing works
Runnals, J. J., Voorhees, E. E. V., Robbins, A. T., Brancu, M., Straits-Tröster, K. A., Beckham, J. C., & Calhoun, P. S. (2013) · Pain Medicine · doi:10.1111/pme.12208 · Cited by 45 · see citing works
McCarthy, J. F., Valenstein, M. M., & Blow, F. C. (2007) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-007-0130-2 · Cited by 43 · see citing works
Bringing chronic-pain care to rural veterans: A telehealth pilot program description.
Glynn, L. H., Chen, J. A., Dawson, T. C., Gelman, H., & Zeliadt, S. B. (2021) · Psychological Services · doi:10.1037/ser0000408 · Cited by 40 · see citing works
Self-citationEdmond, S. N., Moore, B. A., Dorflinger, L. M., Goulet, J. L., Becker, W. C., Heapy, A. A., Sellinger, J. J., Lee, A. W., Levin, F. L., Ruser, C. B., et al. (2018) · Pain Medicine · doi:10.1093/pm/pny094 · Cited by 30 · see citing works
Rates and Correlates of Pain Specialty Clinic Use Nationally in the Veterans Health Administration
Arout, C. A., Sofuoglu, M., & Rosenheck, R. A. (2017) · Pain Medicine · doi:10.1093/pm/pnw206 · Cited by 28 · see citing works
Increased Nonopioid Chronic Pain Treatment in the Veterans Health Administration, 2010–2016
Frank, J. W., Carey, E., Nolan, C., Kerns, R. D., Sandbrink, F., Gallagher, R., & Ho, P. M. (2019) · Pain Medicine · doi:10.1093/pm/pny149 · Cited by 28 · see citing works
Self-citationMattocks, K. M., Rosen, M. I., Sellinger, J. J., Ngo, T., Brummett, B. R., Higgins, D. M., Reznik, T. E., Holtzheimer, P. E., Semiatin, A. M., Stapley, T., et al. (2019) · Pain Medicine · doi:10.1093/pm/pnz341 · Cited by 26 · see citing works
Giummarra, M. J., Arnold, C. A., & Beck, B. (2021) · Pain Medicine · doi:10.1093/pm/pnab011 · Cited by 11 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Medicare and telehealth: The impact of <scp>COVID</scp>‐19 pandemic
Hamadi, H. Y., Zhao, M., Haley, D. R., Dunn, A., Paryani, S., & Spaulding, A. (2022) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.13634 · Cited by 62 · see citing works
Haun, J. N., Fowler, C. A., Venkatachalam, H. H., Saenger, M. S., Alman, A. C., Smith, B. M., Schneider, T., Benzinger, R., Stroupe, K., & French, D. D. (2023) · BMC Health Services Research · doi:10.1186/s12913-023-09327-5 · Cited by 12 · see citing works
Haun, J. N., Fowler, C. A., Smith, B. M., Cao, L., Stroupe, K. T., Lapcevic, W. A., Saenger, M. S., Benzinger, R. C., & French, D. D. (2024) · BMC Health Services Research · doi:10.1186/s12913-024-10816-4 · Cited by 2 · see citing works
“Future research should focus on identifying patient profiles who will most/least benefit from the TelePain-EVP approach to pain management, compared to other TelePain management programs [33, 34] offered within the VA system.”
Result
- Authors
- Chen, J. A., DeFaccio, R. J., Gelman, H., Thomas, E. R., Indresano, J. A., Dawson, T. C., Glynn, L. H., Sandbrink, F., & Zeliadt, S. B.
- Affiliations
- University of Washington (US)
- Health Services Research & Development (US)
- VA Puget Sound Health Care System (US)
- George Washington University (US)
- Corresponding author
- Chen, Jessica A
- ORCID
- Venue
- Pain Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-06-19
- Volume
- 23
- Issue
- 3
- Pages
- 466-474
- ISSN
- 1526-2375 (ISSN-L)
- 1526-4637
- OpenAlex
- W3169963966
- Cited by
- 28
- References
- 30
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 13 · 2023: 2 · 2022: 4 · 2021: 1
- FWCI
- 4.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Pain Medicine (publishedVersion, public-domain)
- PubMed (publishedVersion)
- Funders
- VA Quality Enhancement Research Initiative
- Expanding TelePain Across VISN20 (I50 HX002902)
- VA Health Services Research & Development Career Development Award (IK2 HX002866)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Medicine › Pharmacology › Musculoskeletal pain and rehabilitation
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Keywords
- telemedicine, chronic pain, urban-rural differences, Veterans Health Administration, access to pain care, veterans
- MeSH terms
- Humans, Retrospective Studies, United States, United States Department of Veterans Affairs, Telemedicine, Veterans Health, Chronic Pain
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review