| Literature DB >> 35451400 |
Sheena Khan1, Edward J Llinas1, Sonye K Danoff2, Rafael H Llinas1, Elisabeth B Marsh1.
Abstract
ABSTRACT: The use of telemedicine has increased significantly during the Corona virus disease 2019 pandemic. This manuscript serves to identify the underlying principles of clinical excellence in telemedicine and to determine whether effective care practices can be generalized as a one-size-fits-all model or must instead be tailored to individual patient populations.A survey assessing care quality and patient satisfaction for patients using telemedicine was created and administered via email to 2 urban cohorts of varying demographics and socioeconomic backgrounds: a population of patients with prior stroke and cerebrovascular disease, and a cohort of patients followed for interstitial lung disease. Results were compared across groups to determine the generalizability of effective practices across populations.Individuals taking part in telemedicine were more likely to be White, more affluent, and woman, regardless of clinical diagnosis compared with a similar cohort of patients seen in-person the year prior. A lower-than-expected number of patients who were Black and of lower socioeconomic status followed up virtually, indicating potential barriers to access. Overall, patients who participated in televisits were satisfied with the experience and felt that the care met their medical needs; however, those who were older were more likely to experience technical difficulties and prefer in-person visits, while those with less education were less likely to feel that their questions were addressed in an understandable way.When thoughtfully designed, telemedicine practices can be an effective model for patient care, though implementation must consider population characteristics including age, education, and socioeconomic status, and strategies such as ease of access versus optimization of communication strategies should be tailored to meet individual patient needs.Entities:
Mesh:
Year: 2022 PMID: 35451400 PMCID: PMC8913094 DOI: 10.1097/MD.0000000000029017
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Differences in patient characteristics for those seen virtually compared to in-person the previous year.
| Population characteristics | In-person (n = 484) | Virtual (n = 443) | |
| Demographics | |||
| Age, mean years (SD) | 63.9 (14.4) | 63.9 (13.9) | .916 |
| Race, n black (%) | 138 (28.6) | 89 (20.1) | .014 |
| Sex, n male (%) | 179 (37.0) | 196 (44.2) | .024 |
| Median income, mean dollars (SD) | 81,736.4 (33,567.3) | 87,661.8 (35,114.1) | .009 |
| Education, mean years (SD) | 14.6 (3.3) | 15.2 (3.5) | .114 |
| Companion present at visit, n (%) | 21 (12.9) | 61 (13.9) | .755 |
| Occupation class | .952 | ||
| Professional, n (%) | 50 (20.7) | 50 (19.3) | |
| Intermediate, n (%) | 72 (29.8) | 79 (30.5) | |
| Skilled laborer, n (%) | 72 (29.8) | 81 (31.3) | |
| Semiskilled laborer, n (%) | 37 (15.3) | 35 (13.5) | |
| Unskilled laborer, n (%) | 11 (4.6) | 14 (5.4) | |
| Medical co-morbidities | |||
| Atrial fibrillation, n (%) | 65 (13.4) | 53 (12.0) | .504 |
| Hypertension, n (%) | 325 (67.2) | 288 (65.0) | .472 |
| Hyperlipidemia, n (%) | 259 (53.5) | 204 (46.1) | .023 |
| Diabetes, n (%) | 130 (26.9) | 89 (20.1) | .032 |
Comparison of the neurology and pulmonary cohort.
| In-Person (n = 484) | Virtual (n = 443) | |||||
| Population characteristics | Pulmonology (n = 164) | Neurology (n = 320) | Pulmonology (n = 259) | Neurology (n = 184) | ||
| Demographics | ||||||
| Age, mean (SD) | 59.3 (13.6) | 66.2 (14.2) | <.001 | 63.8 (12.9) | 64.2 (15.2) | .796 |
| Median Income, mean dollars (SD) | 90,382.9 (35,517.7) | 77,413.2 (31,731.6) | <.001 | 89,858.4 (36,141.0) | 84,617.6 (33,498.3) | .123 |
| Race, n black (%) | 51 (31.1) | 87 (27.3) | .541 | 52 (20.2) | 37 (20.1) | .057 |
| Sex, n male (%) | 48 (28.1) | 133 (41.6) | .004 | 111 (42.9) | 85 (46.2) | .486 |
| Education, mean years (SD) | 16.0 (3.5) | 14.0 (3.1) | <.001 | 15.2 (3.3) | 15.2 (3.8) | .935 |
| Companion at virtual visit, n (%) | – | – | – | 33 (12.9) | 28 (15.2) | .486 |
| Occupation class code | .545 | .027 | ||||
| Professional, n (%) | 28 (23.1) | 22 (18.2) | 30 (20.7) | 20 (17.5) | ||
| Intermediate, n (%) | 35 (28.9) | 37 (30.6) | 54 (37.2) | 25 (21.9) | ||
| Skilled laborer, n (%) | 36 (30.0) | 36 (30.0) | 41 (28.3) | 40 (35.1) | ||
| Semiskilled laborer, n (%) | 19 (15.7) | 18 (14.9) | 15 (10.3) | 20 (17.5) | ||
| Unskilled laborer, n (%) | 3 (2.5) | 8 (6.6) | 5 (3.5) | 9 (7.9) | ||
| Medical co-morbidities | ||||||
| Atrial fibrillation, n (%) | 17 (10.4) | 48 (15.0) | .157 | 23 (8.9) | 30 (16.3) | .018 |
| Hypertension, n (%) | 83 (50.6) | 242 (75.6) | <.001 | 143 (55.2) | 145 (78.8) | <.001 |
| Hyperlipidemia, n (%) | 68 (41.5) | 191 (60.0) | <.001 | 111 (42.9) | 93 (50.5) | .110 |
| Diabetes, n (%) | 31 (18.9) | 99 (30.9) | .005 | 56 (21.6) | 33 (17.9) | .436 |
Figure 1Survey responses.
Survey responses.
| Question | Factors associated with a positive response | |
| Overall, how satisfied were you with your virtual visit? | ||
| A virtual visit made it easier to see my healthcare provider. | ||
| I believe I received high-quality care during my virtual visit. | Higher education History of hypertension | .025 .045 |
| I believe I would have received better care if I saw my healthcare provider in person. | Pulmonary patients | .002 |
| My visit helped me understand ways to improve my health. | ||
| My questions/concerns were addressed in an understandable way. | Higher education Higher occupation class | .002 <.001 |
| Overall, I felt the virtual visit met my medical needs. | Higher education | .025 |
| Connecting to the virtual visit was simple. | Advanced age | .024 |
| I did not experience any technical difficulties with my visit. | ||
| I would recommend telehealth to friends or family. | ||
| I would use telemedicine services again. | ||
| I prefer in-person to virtual visits. | Advanced age | .022 |
| Please select the reason you prefer in-person visits. | Prefer to see my provider face-to-face (n = 37) Technology concerns (n = 1) other (n = 10) | |
| Please list additional reasons you prefer in-person. | “So Dr can actually listen to my lungs”; “No physical examination...cannot physically assess my lungs for evaluation, also other physical changes. I e: shortness of breath, lung sounds, discoloration of skin etc” “Because I need my doctor to listen to my lungs” “For my video visit, I wasn’t able to have a PFT” “the zoom meeting did not flow very well. My doctor tried to make it work but the session done via a phone call. At that point it was better speaking to him rather than the zoom where the delay was effecting the conversation.” | |
| Please select the reason you prefer virtual visits. | Convenience (n = 2) Distance (n = 5) Health Concerns (severe symptoms make travel difficult) (n = 1) Other (n = 1) | |
| Please list additional reasons you prefer virtual visits. | “Lack of childcare options” | |