| Literature DB >> 33073060 |
Anuj Goenka1,2, Daniel Ma1,2, Sewit Teckie1,2, Catherine Alfano3, Beatrice Bloom1,2, Jamie Hwang1,2, Louis Potters1,2.
Abstract
PURPOSE: The widespread coronavirus disease 2019 (COVID-19) pandemic has resulted in significant changes in care delivery among radiation oncology practices and has demanded the rapid incorporation of telehealth. However, the impact of a large-scale transition to telehealth in radiation oncology on patient access to care and the viability of care delivery are largely unknown. In this manuscript, we review our implementation and report data on patient access to care and billing implications. Because telehealth is likely to continue after COVID-19, we propose a radiation oncology-specific algorithm for telehealth. METHODS AND MATERIALS: In March 2020, our department began to use telehealth for all new consults, posttreatment encounters, and follow-up appointments. Billable encounters from January to April 2020 were reviewed and categorized into 1 of the following visit types: in-person, telephonic, or 2-way audio-video. Logistic regression models tested whether visit type differed by patient age, income, or provider.Entities:
Year: 2020 PMID: 33073060 PMCID: PMC7546643 DOI: 10.1016/j.adro.2020.09.015
Source DB: PubMed Journal: Adv Radiat Oncol ISSN: 2452-1094
Figure 1The number of billable consult and follow-up appointments by method of encounter (in-person vs telephonic vs 2-way audio-video). In-person visits became a small portion of our care in April. In April, telephonic-only visits increased compared with 2-way audio-video and in-person visits.
Figure 2Factors affecting the type of telehealth visit that was conducted (2-way audio-video vs telephonic only). Median income was not associated with type of telehealth visit (P = .48). Older age was associated with increased telephonic-only visit (P < .01).
Figure 3The effect of 2-way audio-video telehealth on level of visit charges. The level of appointment charged for telehealth appointments was not different for follow-up appointments (P = .36). For consultation appointments, patients were more frequently billed a lower level of visit than for an in-person visit (P < .01).
Telehealth recommendations by type of encounter
| Visit type | Recommendations |
|---|---|
| Consult | Patient have option of booking their initial consult via 2-way audio-video telehealth (see |
| Coordinate in-person follow-up or physical examination with simulation | |
| Telephonic-only consult is discouraged | |
| OTVs | OTVs should continue in person |
| Telehealth can be used as a secondary tool to provide additional clinical care | |
| Posttreatment evaluation | Patient have option of booking PTE via telehealth, except for head and neck, gynecologic, and anal cancer |
| In-person examinations can be scheduled after telehealth as clinically indicated | |
| Follow-up | Multidisciplinary team discussion to coordinate telehealth visits to reduce duplicated physical examinations and visits |
| Recommendations are made based on disease subsite, incorporating NCCN recommendations for follow-up and in consideration of (1) the necessity of a physical examination finding to assess treatment response and (2) requirement of an in-person physical examination for cancer surveillance (see |
Abbreviations: NCCN = National Comprehensive Cancer Network; OTV = on-treatment visits; PTE = posttreatment encounters.
Figure 4Framework for incorporating telehealth into consult workflow.
Recommendations regarding appropriateness of telehealth for follow-up care with minimum number of in-person examinations
| Appropriateness | Disease site | Minimum site-specific in-person examinations |
|---|---|---|
| High | CNS | Year 1-2: 1 to 2 examinations annually |
| Moderate | GI/anal cancer (after complete response) | Year 1-2: 2 examinations annually |
| Low | Head and neck cancer Gyn-endometrial | Year 1-2: every 3-6 months Year 3-5: every 6-12 months |
Abbreviations: CNS = central nervous system; GI = gastrointestinal; GU = genitourinary; Gyn = gynecologic.
Radiation oncology–specific telehealth quality metrics
| Domain | Measures |
|---|---|
| Access to care | Time from referral to consult |
| Time from consult to simulation | |
| Access to care for underserved patients | |
| Simulation cancellation rate | |
| Financial impact | Cost of telehealth implementation and maintenance |
| Number of second opinion consults | |
| Difference in reimbursement | |
| Cost savings to patients – direct and indirect | |
| Cost savings from care coordination | |
| User experience | Patient satisfaction |
| Provider satisfaction | |
| Time required for technical troubleshooting | |
| Clinical effectiveness | Documentation of pain or KPS |
| Rate of unexpected hospital admissions | |
| Effectiveness in coordination and shared care | |
| Patient adherence to recommended follow-up schedule | |
| Clinical outcomes |
Abbreviation: KPS = Karnofsky Performance Status.