| Literature DB >> 34934656 |
Alok Singh1, Ajaya K Sahoo1, Suryaprakash Dhaneria1, Dhyuti Gupta1.
Abstract
BACKGROUND: In an underdeveloped country like India where there are varied constraints in accessing healthcare, telemedicine can prove to be instrumental in providing access to the scant medical resources and infrastructures. The irony lies in its underutilization, which is multifactorial.Entities:
Keywords: e-health; tele-education; telemedicine
Year: 2021 PMID: 34934656 PMCID: PMC8653445 DOI: 10.4103/jfmpc.jfmpc_62_21
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Demographic and professional characteristics of faculty members
| Demographic Characteristics | |
|---|---|
| Age years (mean±SD) | 40.7±9.2 |
| Male: Female (Total) | 76 (66%):39 (34%) (115) |
| Assistant Professors | 59 (51.3%) |
| Associate Professors | 31 (27%) |
| Professors | 25 (21.7%) |
| Faculty members from Medical College | 65 (56.5%) |
| Faculty members from Hospital | 50 (43.5%) |
Attitude toward telemedicine among faculty members of different institutions
| Category | Strongly agree (%) | Agree (%) | Not sure (%) | Disagree (%) | Strongly disagree (%) |
|---|---|---|---|---|---|
| Reduction in face-to-face communication | 20.9 | 45.2 | 15.7 | 13.9 | 4.4 |
| Idea of remote communication | 44.4 | 35.7 | 13 | 5.2 | 1.7 |
| Willingness to educate patients for uses of Telemedicine | 35.7 | 47.8 | 9.6 | 5.2 | 1.7 |
| Medical colleges should organize CMEs | 70.4 | 22.6 | 2.6 | 2.6 | 1.7 |
| Computers has significant role in medicine and healthcare | 74.8 | 20.9 | 2.6 | 0.9 | 0.9 |
| Work in rural area for telemedicine project | 27.8 | 33.9 | 30.4 | 3.5 | 4.4 |
| Telemedicine will improve access to healthcare facilities | 48.7 | 41.7 | 7.8 | 00 | 1.7 |
| Telemedicine will be same as in-person interaction | 19.1 | 27 | 20 | 22.6 | 11.3 |
Self-perceived knowledge of telemedicine among faculty members of different institutions
| Knowledge | ||||
|---|---|---|---|---|
| Category | No (%) | Somewhat (%) | Mediocre (%) | Expert (%) |
| Computer-assisted learning | 6.1 | 22.6 | 43.5 | 27.8 |
| Library computer catalog | 13.9 | 33.9 | 40.9 | 11.3 |
| Performing online literature review | 3.5 | 13 | 45.2 | 38.3 |
| Offline saving of webpage | 6.9 | 16.5 | 40.9 | 35.7 |
| Microsoft Office | 3.5 | 13 | 33 | 50.4 |
| Routine use of e-mails in both mobile and computers | 1.7 | 7.8 | 38.3 | 52.2 |
| Tele-education* | 6.9 | 23.5 | 47 | 21.7 |
*Digital lecture theater room for Continuous Medical Education for Medical Persons, training of Para Medical staff, sharing of surgical, and interventional skills.
Representation of median score of awareness, knowledge, and attitude among the faculty members toward telemedicine
| Subgroups | Awareness (16) | Knowledge (21) | Attitude (16) |
|---|---|---|---|
| Pooled Median (115) | 6 | 14 | 9 |
| Assistant Professor (59) | 5 | 14 | 8 |
| Associate Professors (31) | 6 | 16 | 9 |
| Professors (25) | 8 | 14 | 8 |
| Faculty from Hospital (50) | 6.5 | 13.5 | 9 |
| Faculty from Medical College (65) | 5 | 14 | 9 |
| Faculty ≥40 years (48) | 7 | 13.5 | 9 |
| Faculty <40 years (67) | 5 | 15 | 9 |
| Males (76) | 6.5 | 14 | 9 |
| Females (39) | 5 | 15 | 8 |
Comparison among different groups by Mann-Whitney Test regarding awareness, knowledge, and attitude
| Groups | Awareness (P) | Knowledge (P) | Attitude (P) |
|---|---|---|---|
| Assistant Professor and Associate Professor | 0.39 | 0.03* | 0.71 |
| Assistant Professor and Professor | 0.01* | 0.86 | 0.20 |
| Professor and Associate Professor | 0.14 | 0.12 | 0.41 |
| Faculty ≥40 and Faculty <40 years | 0.21 | 0.15 | 0.11 |
| Faculty Medical College and Hospital | 0.87 | 0.45 | 0.88 |
| Male and Female | 0.31 | 0.45 | 0.84 |
*Statistically significant