| Literature DB >> 35477921 |
Saleh A Alghamdi1, Osamah M Alshahrani1, Abdulmajeed K Alharbi1, Omar A Alghamdi1, Reem A Almohaini1, Jouf Y Alsayat1.
Abstract
OBJECTIVES: To assess psychiatrists' knowledge and perception regarding telepsychiatry and evaluate their willingness to adopt telepsychiatry clinical practice in Saudi Arabia.Entities:
Mesh:
Year: 2022 PMID: 35477921 PMCID: PMC9257909 DOI: 10.17712/nsj.2022.2.20210125
Source DB: PubMed Journal: Neurosciences (Riyadh) ISSN: 1319-6138 Impact factor: 0.735
- Factors related to telepsychiatry knowledge. (n=328)
| Statements | Low | Average | High |
|---|---|---|---|
| n (%) | n (%) | n (%) | |
| Are you familiar with telepsychiatry technology? | 98 (29.9) | 171 (52.1) | 59 (18.0) |
| Are you familiar with the medical applications of telepsychiatry technology? | 121 (36.9) | 156 (47.6) | 51 (15.5) |
| How often are conferences, speeches, or meetings held in your workplace regarding telepsychiatry technology? | 180 (54.9) | 109 (33.2) | 39 (11.9) |
| Are you familiar with telepsychiatry tools? | 131 (39.9) | 145 (44.2) | 52 (15.9) |
| Are you familiar with telepsychiatry guidelines? | 177 (54.0) | 109 (33.2) | 42 (12.8) |
| Are you familiar with the use of telepsychiatry in other countries? | 163 (49.7) | 137 (41.8) | 28 (08.5) |
| Is continuous training in the use of telepsychiatry necessary for doctors? | 62 (18.9) | 157 (47.9) | 109 (33.2) |
| Total score (mean±SD) | 12.3±3.45 | -- | -- |
|
| |||
| Poor (≤12 score) | 170 (51.8) | -- | -- |
| Good (>12 score) | 158 (48.2) | -- | -- |
The assessment of psychiatrists’ knowledge toward telepsychiatry is described in Table 2.
- Factors related to the perception of telepsychiatry. (n=328)
| Statements | Disagree | Agree |
|---|---|---|
| n (%) | n (%) | |
| Telepsychiatry is a viable approach for providing medical care services to patients | 46 (14.0) | 282 (86.0) |
| There is a potential role for information and communication technology (ICT) in healthcare | 42 (12.8) | 286 (87.2) |
| Using telepsychiatry systems can save time and money | 32 (09.8) | 296 (90.2) |
| Telepsychiatry systems can save effort | 36 (11.0) | 292 (89.0) |
| The application of ICT in healthcare is already available | 121 (36.9) | 207 (63.1) |
| Total Score (mean±SD) | 4.15±1.17 | -- |
| Level of perception | ||
| Poor (≤3 score) | 63 (19.2) | -- |
| Good (>3 score) | 265 (80.8) | -- |
The factors related to perception toward telepsychiatry are shown in Table 3
- Factors related to willingness towards telepsychiatry. (n=328)
| Statements | Disagree | Agree |
|---|---|---|
| n (%) | n (%) | |
| I want to consult with large centers in my specialty from my hospital | 39 (11.9) | 289 (88.1) |
| The implementation of telepsychiatry technology is appropriate to the current conditions in hospitals | 36 (11.0) | 292 (89.0) |
| I think that my colleagues would be willing to implement telepsychiatry technology | 47 (14.3) | 281 (85.7) |
| Telepsychiatry systems can be integrated into existing systems | 50 (15.2) | 278 (84.8) |
- Statistical difference between the knowledge and perception scores regarding the psychiatrists’ socio-demographic characteristics. (n=103).
| Factors | Knowledge score (21) Mean±SD | H/Z test | Perception score (5) Mean±SD | H/Z test |
|---|---|---|---|---|
|
| ||||
| 25–35 years | 11.4±3.11 | Z=−4.236 | 3.91±1.31 | Z=−3.349 |
| >35 years | 13.1±3.57 |
| 4.39± 0.92 |
|
|
| ||||
| Male | 12.5±3.41 | Z=−1.621 | 4.27±1.01 | Z=−1.897 |
| Female | 11.9±3.53 |
| 3.89±1.39 |
|
|
| ||||
| Saudi | 12.4±3.52 | Z=−0.252 | 4.19±1.11 | Z=−0.840 |
| Non-Saudi | 12.1±3.14 |
| 3.98±1.32 |
|
|
| ||||
| Resident | 11.4±3.24 | H=23.198 | 4.09±1.17 | H=3.050 |
| Specialist | 12.2±2.73 | 3.99±1.38 | ||
| Consultant | 13.6±3.78 |
| 4.36±0.91 |
|
|
| ||||
| 1–5 years | 11.2±2.93 | H=22.609 | 4.08±1.15 | H=7.035 |
| 6–10 years | 12.5±3.23 | 3.89±1.42 | ||
| 11–15 years | 13.4±3.69 |
| 4.23±1.18 |
|
| >15 years | 13.2±3.77 | 4.46±0.76 | ||
|
| ||||
| Never | 10.0±2.88 | H=36.378 | 3.88± 1.19 | H=8.066 |
| Sometimes/Rarely | 12.8±3.22 |
| 4.17±1.11 |
|
| Often/Always | 12.8±3.62 | 4.28±1.18 | ||
|
| ||||
| One | 11.9±3.66 | H=6.349 | 4.08±1.22 | H=4.799 |
| Two | 12.4±3.45 | 4.07±1.14 | ||
| Three | 12.9±3.17 |
| 4.41±0.89 |
|
| More than three | 11.9±3.44 | 4.09±1.39 | ||
|
| ||||
| Yes | 12.7±3.51 | Z=−3.712 | 4.19±1.15 | Z=−1.639 |
| No | 11.1±2.95 |
| 4.04±1.14 |
|
|
| ||||
| Yes | 12.4±3.41 | Z=638.37 | 4.14±1.14 | Z=1.109 |
| No | 12.1±3.67 |
| 4.24±1.20 |
|
a p-value was calculated using the Kruskal–Wallis H-test, b p-value was calculated using the Mann
- The psychiatrists’ socio-demographic characteristics. n=328
| Study data | n (%) |
|---|---|
|
| |
| 25–35 years | 160 (48.8) |
| 36–45 years | 95 (29.0) |
| 46–55 years | 49 (14.9) |
| 56–65 years | 19 (05.8) |
| >65 years | 05 (01.5) |
|
| |
| Male | 231 (70.4) |
| Female | 97 (29.6) |
|
| |
| Saudi | 274 (83.5) |
| Non-Saudi | 54 (16.5) |
|
| |
| Resident | 140 (42.7) |
| Specialist | 79 (23.8) |
| Consultant | 110 (33.5) |
|
| |
| 1–5 years | 129 (39.3) |
| 6–10 years | 66 (20.1) |
| 11–15 years | 57 (17.4) |
| 16–20 years | 39 (11.9) |
| >20 years | 37 (11.3) |