| Literature DB >> 35265890 |
Janet K Han1, Sana M Al-Khatib2, Christine M Albert3.
Abstract
Background: Digital health is transforming healthcare delivery. Objective: To compare the current digital health landscape in select groups of cardiac electrophysiology (EP) professionals prior to and during the COVID-19 era.Entities:
Keywords: Digital health; Mobile applications; Telehealth; Wearables
Year: 2020 PMID: 35265890 PMCID: PMC8890346 DOI: 10.1016/j.cvdhj.2020.12.001
Source DB: PubMed Journal: Cardiovasc Digit Health J ISSN: 2666-6936
Baseline demographics
| S1 | S2 | ||
|---|---|---|---|
| Total n | 253 | 273 | |
| Gender, n (%) | |||
| Male | 156 (61.7) | 198 (72.5) | .008 |
| Female | 97 (38.3) | 75 (27.5) | |
| Age (years), n (%) | |||
| 25–34 | 11 (4.4) | 16 (5.9) | .432 |
| 35–44 | 118 (46.6) | 119 (43.6) | .482 |
| 45–54 | 61 (24.1) | 86 (31.5) | .059 |
| 55–64 | 50 (19.8) | 42 (15.4) | .187 |
| 65–74 | 12 (4.7) | 10 (3.7) | .536 |
| >75 | 1 (0.4) | 0 | n/a |
| Occupation, n (%) | |||
| Physician | 216 (85.4) | 240 (87.9) | .392 |
| Nurse practitioner / physician assistant | 24 (9.5) | 23 (8.4) | .670 |
| Registered nurse / licensed vocational nurse | 7 (2.8) | 2 (0.7) | .072 |
| Technician | 2 (0.8) | 4 (1.5) | .467 |
| Researcher | 4 (1.5) | 3(1.1) | .630 |
| Pharmacist | 0 | 1 (0.4) | n/a |
| Other | 0 | 0 | n/a |
| Practice setting, n (%) | |||
| University/academic | 133 (52.6) | 150 (54.9) | .585 |
| Private practice | 68 (26.9) | 86 (31.5) | .244 |
| Health Maintenance Organization | 2 (0.8) | 3 (1.1) | .716 |
| Public/county facility | 10 (3.9) | 7 (2.6) | .368 |
| Government | 17 (6.7) | 9 (3.3) | .070 |
| Other | 23 (9.1) | 18 (6.6) | .286 |
S1 = pre-pandemic survey; S2 = peri-pandemic survey.
Figure 1Comparison of self-characterization of digital health adoption, Survey 1 (pre-pandemic) vs survey 2 (peri-pandemic). Categories based on Rogers. ∗ = statistically significant as listed in figure legend.
Comparison of video-telehealth use, overall and by consultation type, pre-pandemic vs peri-pandemic
| S1 | S2 | ||
|---|---|---|---|
| Video-telehealth use, n (%) | |||
| Routinely | 15 (5.9) | 160 (58.6) | <.001 |
| Occasionally | 33 (13) | 87 (31.9) | <.001 |
| Never, but would like to | 149 (58.9) | 18 (6.6) | <.001 |
| Never, would rather not | 51 (20.12) | 5 (1.8) | <.001 |
| Characteristics of video-telehealth use, n (%) | |||
| New consultation | 33 (13) | 181 (66.3) | <.001 |
| Follow-up consultation | 47(18.6) | 233 (85.4) | <.001 |
| CIED interrogation | 22 (8.7) | 101 (37) | <.001 |
| Wound-check only | 18 (7.1) | 103 (37.7) | <.001 |
| Other | 6 (2.4) | 14 (5.1) | <.001 |
| I do not use video-telehealth | 188 (74.3) | 24 (8.8) | <.001 |
CIED = cardiac implantable electronic device; S1 = pre-pandemic survey; S2 = peri-pandemic survey.
Video-telehealth use overall and for all types of consultations increased significantly in S2.
Prescribing of digital health tools and smartphone mobile applications (mApps), pre-pandemic vs peri-pandemic
| S1 | S2 | ||
|---|---|---|---|
| Digital health tools, n (%) | |||
| Mobile personal ECG (smartwatch & non-smartwatch) | 203 (80.2) | 221 (81) | .834 |
| Wearable non-ECG heart rate monitor | 88 (34.8) | 96 (35.2) | .927 |
| Wireless blood pressure monitor | 25 (9.9) | 50 (18.3) | .006 |
| Wireless oximeter | 4 (1.6) | 22 (8.1) | .006 |
| Wireless scale | 20 (7.9) | 26 (9.5) | .511 |
| I do not prescribe/recommend any digital health tools | 44 (17.4) | 41 (15) | .46 |
| Smartphone mApps, n (%) | |||
| Heart rate / pulse monitor (non-ECG) | 128 (50.6) | 111 (40.7) | .022 |
| Disease management / symptom diary | 40 (15.8) | 68 (24.9) | .01 |
| Medication reminders / trackers | 64 (25.3) | 62 (22.7) | .487 |
| Patient education | 74 (29.3) | 85 (31.1) | .638 |
| Decision aids, shared decision-making | 31 (12.3) | 41 (15) | .357 |
| Mobile health / vital sign tracker | 73 (28.9) | 101 (37) | .04 |
| Fitness / exercise | 102 (40.3) | 114 (41.8) | .737 |
| Nutrition / calorie counter | 63 (24.9) | 65 (23.8) | .771 |
| I do not recommend any mApps | 54 (21.3) | 62 (22.7) | .066 |
ECG = electrocardiogram; mApps = mobile applications; S1 = pre-pandemic survey; S2 = peri-pandemic survey.
Prescribing wireless blood pressure monitor and wireless oximetry as well as mApps for disease management and vital sign trackers all increased significantly, while heart rate monitoring mApp prescribing decreased significantly in S2.
Figure 2Comparison of digital health tool (A) and smartphone mobile application (mApp) (B) prescribing, survey 1 (pre-pandemic) vs survey 2 (peri-pandemic). ∗ = statistically significant as listed in figure legend. BP = blood pressure; ECG = electrocardiogram; Peri = peri-pandemic; Pre = pre-pandemic.
Figure 3Comparison of perceived barriers (A) and benefits (B) to digital health, survey 1 (pre-pandemic) vs survey 2 (peri-pandemic). Lower number signifies greater importance. Peri = peri-pandemic; Pre = pre-pandemic.