| Literature DB >> 31888632 |
Kylie Watson1, Julia Wells1, Manoj Sharma2,3,4, Stanley Robertson1, John Dascanio5, Jason W Johnson1, Robert E Davis6, Vinayak K Nahar7,8.
Abstract
BACKGROUND: As usage of digital information and communication technologies continues to grow, the incorporation of telehealth and telemedicine has become a topic of interest in the veterinary industry. Veterinary telemedicine presents the opportunity to expand veterinary medicine by increasing access to healthcare services for clients and patients and improving medical quality. The objective of this study was to assess veterinarians' knowledge and utilization of telehealth and telemedicine.Entities:
Keywords: Awareness; Education; Policy; Practice; Telehealth; Telemedicine
Mesh:
Year: 2019 PMID: 31888632 PMCID: PMC6937652 DOI: 10.1186/s12917-019-2219-8
Source DB: PubMed Journal: BMC Vet Res ISSN: 1746-6148 Impact factor: 2.741
Socio-demographic Information of the Participants (N = 76)
| Age | |
| 20–30 years | 1 (1.3) |
| 31–40 years | 18 (23.7) |
| 41–50 years | 19 (25.0) |
| 51–60 years | 16 (21.1) |
| Over 60 years | 19 (25.0) |
| Gender | |
| Male | 46 (60.5) |
| Female | 27 (35.5) |
| Race/ethnicity | |
| White or Caucasian American | 70 (92.1) |
| Black or African American | 1 (1.3) |
| Hispanic American | 2 (2.6) |
| Annual Gross Revenue of Practice | |
| Less than $250,000 | 1 (1.3) |
| $250,000 to $500,000 | 3 (3.9) |
| $500,001 to $750,000 | 4 (5.3) |
| $750,001 to $1,000,000 | 5 (6.6) |
| $1,000,000 to $2,000,000 | 22 (28.9) |
| $2,000,001 to $5,000,000 | 16 (21.1) |
| More than $5,000,000 | 13 (17.1) |
| Prefer Not to Answer | 7 (9.2) |
Due to missing data, the percentage of responses in each category of variables do not sum to 100%
Utilization of Telehealth and Telemedicine in Practice (N = 76)
| Utilization of Telehealth | |
| Never | 15 (19.7) |
| Hardly Ever | 12 (15.8) |
| Sometimes | 16 (21.1) |
| Fairly Often | 10 (13.2) |
| Often | 4 (5.3) |
| Utilization of Telemedicine | |
| Never | 15 (19.7) |
| Hardly Ever | 11 (14.5) |
| Sometimes | 17 (22.4) |
| Fairly Often | 11 (14.5) |
| Often | 2 (2.6) |
Due to missing data, the percentage of responses in each category of variables do not sum to 100%
Platform Utilization for Interaction with Clients and Patients (N = 76)
| Office Visit | Phone | Text | Email | (1-way) | (2-way) | |
|---|---|---|---|---|---|---|
| Initial visit/consultation | 48 (63.2) | 20 (26.3) | 13 (17.1) | 16 (21.1) | 4 (5.3) | 0 (0) |
| Follow-up | 45 (59.2) | 39 (51.3) | 22 (28.9) | 27 (35.5) | 4 (5.3) | 2 (2.6) |
| Triage | 43 (56.6) | 25 (32.9) | 11 (14.5) | 12 (15.8) | 4 (5.3) | 1 (1.3) |
| After hours calls/emergencies | 25 (32.9) | 30 (39.5) | 13 (17.1) | 6 (7.9) | 4 (5.3) | 2 (2.6) |
| Pre-surgery visit | 45 (59.2) | 18 (23.7) | 10 (13.2) | 12 (15.8) | 1 (1.3) | 1 (1.3) |
| Post-surgery visit | 45 (59.2) | 31 (40.8) | 16 (21.1) | 17 (22.4) | 3 (3.9) | 1 (1.3) |
| Client Education | 45 (59.2) | 36 (47.4) | 22 (28.9) | 37 (48.7) | 6 (7.9) | 3 (3.9) |
Due to missing data, the percentage of responses in each category of variables do not sum to 100%
Platform Utilization for Client Advisement (N = 76)
| In Person | Phone | Text | Email | (1-way) | (2-way) | |
|---|---|---|---|---|---|---|
| General advice–established client | 47 (61.8) | 46 (60.5) | 24 (31.6) | 30 (39.5) | 2 (2.6) | 1 (1.3) |
| General advice–non-client | 33 (43.4) | 34 (44.7) | 6 (7.9) | 16 (21.1) | 1 (1.3) | 1 (1.3) |
| Medical advice–established client with previously seen patient | 45 (59.2) | 46 (60.5) | 23 (30.3) | 31 (40.8) | 3 (3.9) | 3 (3.9) |
| Medical advice–established client with new patient | 46 (60.5) | 29 (38.2) | 8 (10.5) | 16 (21.1) | 1 (1.3) | 1 (1.3) |
| Medical advice–non-client | 32 (42.1) | 19 (25.0) | 3 (3.9) | 5 (6.6) | 1 (1.3) | 1 (1.3) |
Due to missing data, the percentage of participants in each category of variables do not sum to 100%