| Literature DB >> 35131587 |
Madeline I Montoya1, Cary S Kogan2, Tahilia J Rebello3, Karolina Sadowska4, José A Garcia-Pacheco5, Brigitte Khoury6, Maya Kulygina7, Chihiro Matsumoto8, Rebeca Robles9, Jingjing Huang10, Howard F Andrews11, José Luis Ayuso-Mateos12, Keith Denny13, Wolfgang Gaebel14, Oye Gureje15, Shigenobu Kanba16, Karen Maré17, María Elena Medina-Mora18, Kathleen M Pike19, Michael C Roberts20, Pratap Sharan21, Dan J Stein22, T Scott Stroup23, Min Zhao10, Geoffrey M Reed4.
Abstract
BACKGROUND: COVID-19 has profoundly affected the work of mental health professionals with many transitioning to telehealth to comply with public health measures. This large international study examined the impact of the pandemic on mental health clinicians' telehealth use.Entities:
Keywords: Global mental health; Mental health professionals; Telehealth; Telemedicine; World health organization global clinical practice network
Mesh:
Year: 2022 PMID: 35131587 PMCID: PMC8799380 DOI: 10.1016/j.jpsychires.2022.01.050
Source DB: PubMed Journal: J Psychiatr Res ISSN: 0022-3956 Impact factor: 4.791
Fig. 1Perceived effectiveness of telehealth indicated by percentage of clinicians who reported that the telehealth services they provided for specific patient groups were about the same as or more effective than in-person.
Fig. 2Participant recruitment.
Telehealth participant demographics.
| WHO global region, N (%) | ||
| Africa | 31 (2.6) | |
| Americas-South | 199 (16.5) | |
| Americas-North | 208 (17.2) | |
| Eastern Mediterranean | 35 (2.9) | |
| Europe | 475 (39.4) | |
| South-East Asia | 66 (5.5) | |
| Western Pacific-Asia | 162 (13.4) | |
| Western Pacific-Oceania | 30 (2.5) | |
| Gender, N (%) | ||
| Female | 652 (54.1) | |
| Male | 550 (45.6) | |
| Other | 4 (.3) | |
| Language, N (%) | ||
| Chinese | 42 (3.5) | |
| English | 646 (53.6) | |
| French | 73 (6.1) | |
| Japanese | 103 (8.5) | |
| Russian | 89 (7.4) | |
| Spanish | 253 (21) | |
| Income level, N (%) | ||
| Low | 10 (.8) | |
| Lower-middle | 124 (10.3) | |
| Upper-middle | 318 (26.4) | |
| High | 754 (62.5) | |
| Profession, N (%) | ||
| Psychiatrist | 456 (37.8) | |
| Psychologist | 554 (45.9) | |
| Other | 196 (16.3) | |
| Age, M (SD) | 51.4 (11.4) | |
| Years of experience, M (SD) | 20.7 (10.4) | |
Predominantly Canada and United States.
Predominantly Japan and China.
Predominantly Australia and New Zealand.
Included mainly social workers, counselors, primary and other specialty physicians, occupational therapists, and nurses.
Fig. 3Telehealth modalities used to deliver services to patients during the past two weeks by WHO region.
Fig. 4Training received on specific aspects of telehealth service delivery (i.e. technological, ethical and legal, and clinical) by WHO region.
Sequential logistic regression of perceived effectiveness using teleheath for clinical services.
| Model 1 (Demographic Variables only) | Model 2(Telehealth Training Variable added) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Very Ineffective (n = 64) | Somewhat Ineffective (n = 114) | Somewhat Effective (n = 590) | Very Ineffective (n = 64) | Somewhat Ineffective (n = 114) | Somewhat Effective (n = 590) | |||||||
| Predictor | OR | SE | OR | SE | OR | SE | OR | SE | OR | SE | OR | SE |
| Age | .99 | .021 | .99 | .02 | .98 | .01 | ||||||
| Years of Experience | 1.01 | .022 | 1.02 | .02 | .97 | .01 | 1.01 | .02 | 1.02 | .02 | .99 | .01 |
| Income level | ||||||||||||
| Low | 7.08 | 1.44 | 2.97 | 1.45 | 4.66 | 1.08 | 6.93 | 1.44 | 2.57 | 1.46 | 4.27 | 1.09 |
| Lower-middle | 1.06 | .58 | 1.45 | .39 | 1.09 | .59 | 1.56 | .39 | .27 | |||
| Upper-middle | .79 | .34 | .67 | .27 | .78 | .16 | .77 | .34 | .65 | .27 | .76 | .16 |
| Profession | ||||||||||||
| Psychiatrist | 1.17 | .38 | 1.10 | .39 | 1.86 | .33 | ||||||
| Psychologist | .58 | .35 | .59 | .32 | 1.30 | .19 | .59 | .35 | .62 | .33 | 1.33 | |
| Gender | .99 | .29 | 1.45 | .23 | 1.03 | .14 | .98 | .30 | 1.51 | .24 | 1.05 | .14 |
| Training | ||||||||||||
| None | 1.30 | .33 | ||||||||||
| 1 Component | 1.10 | .44 | ||||||||||
| 2 Components | .48 | .53 | 1.20 | .47 | 1.42 | .22 | ||||||
Note: Reference Group = Very Effective (n = 421).
*p < .05. **p < .01. ***p < .001.
= High income level as reference.
= Other Profession as reference.
= Female as reference.
= Three components of telehealth training as reference.
Fig. 5Comparing telehealth use and factors related to its adoption by profession.
Most common concerns about providing telehealth services.
| N (%) | |
|---|---|
| Quality of care relative to in-person services | 809 (67.8) |
| Technical issues | 806 (67.6) |
| Assessing of high-risk patients and managing emergencies remotely | 664 (55.7) |
| Remote assessment of patients | 648 (54.3) |
| Patients' access to equipment | 647 (54.2) |
| Patient consent, privacy, security, and confidentiality | 563 (47.2) |
| Patient familiarity with connecting to teleconference sessions and managing session controls | 486 (40.7) |