| Literature DB >> 33994769 |
Miya L Barnett1, Marika Sigal2, Yessica Green Rosas1, Frederique Corcoran1, Medini Rastogi1, Jason F Jent3.
Abstract
It has been widely recognized that access to mental health treatment is imperative to address current and long-term stressors for children and parents during COVID-19. Internet-delivered Parent-Child Interaction Therapy (iPCIT, previously referred to as I-PCIT) is a strong model for remote service delivery during social distancing restrictions due to its empirical base. However, this treatment modality was not widely implemented before COVID-19, likely due to barriers to providing telehealth services. This mixed methods study conducted a follow-up survey to gather therapist experiences (N = 223) in delivering iPCIT during COVID-19, including qualitative data on the benefits and challenges to delivering iPCIT. The vast majority of therapists (82%) indicated that they transitioned to deliver PCIT via telehealth in response to COVID-19. PCIT caseloads decreased slightly from the first survey to the COVID-19 follow-up survey, but the racial and ethnic composition of caseloads were not significantly different between the two surveys. Of the 183 therapists who transitioned to deliver PCIT via telehealth, 82% expressed interest in continuing to provide iPCIT following the COVID-19 pandemic. Reported benefits of iPCIT included decreased barriers to access and the ability to practice skills within the naturalistic home environment. Challenges to iPCIT were primarily issues with technology as well as other logistical barriers, which could limit engagement for some families. Findings from this study may be beneficial in improving future implementation of iPCIT during and post-COVID-19.Entities:
Keywords: COVID-19; Parent-Child Interaction Therapy; iPCIT; implementation; telehealth
Year: 2021 PMID: 33994769 PMCID: PMC8112899 DOI: 10.1016/j.cbpra.2021.03.005
Source DB: PubMed Journal: Cogn Behav Pract ISSN: 1077-7229
Sample Characteristics
| 36.42 (8.24) | |
| Female | 89.9% |
| Male | 9.7% |
| Non-binary/gender queer | .4% |
| Latinx | 17.6% |
| Non-Latinx | 82.4% |
| White | 85.4% |
| Black/African American | 2.7% |
| Asian/Pacific Islander | 3.2% |
| American Indian/Alaska Native | .9% |
| Multiracial | 3.2% |
| Other | 4.6% |
| Clinical Psychology | 34.8% |
| Marriage Family Therapy | 21.1% |
| Counseling | 21.1% |
| Social Work | 19.4% |
| School Psychology | 2.2% |
| Psychiatry | .4% |
| Other | .9% |
| Community mental health clinic | 43.9% |
| Private practice | 20.6% |
| University training clinic | 11.2% |
| Academic medical center | 12.1% |
| Other | 12.1% |
Note. (N = 223).
Themes and Codes Related to Benefits of Providing iPCIT During COVID-19
| Benefits Themes and Codes | Count | % code mentioned | Quote |
|---|---|---|---|
| Seeing the home environment | 92 | 60.2% | |
| Generalizability | 30 | 19.9% | |
| Continuity of treatment | 29 | 19.2% | |
| Targeted support | 29 | 19.2% | |
| Decreased barriers to treatment | 47 | 31.1% | |
| Convenience | 40 | 26.5% | “ |
| Attendance | 21 | 13.9% | |
| Treatment gains | 20 | 13.2% | |
| Assessment/homework sheets | 3 | 2.0% | |
Note. (n = 151).
Themes and Codes Related to Challenges to Providing iPCIT During COVID-19
| Challenges Themes and Codes | Count | % code mentioned | Quote |
|---|---|---|---|
| Session logistics/troubleshooting | 106 | 70.2% | |
| Camera view limitations | 28 | 18.5% | |
| Barriers to assessment/documentation | 21 | 13.9% | |
| Barriers to training | 2 | 1.3% | |
| No dedicated space for sessions | 59 | 39.1% | |
| Barriers to client engagement | 47 | 31.1% | |
| Lack of appropriate materials | 39 | 25.8% | |
| Inability for clinician intervention | 22 | 14.6% | |
| Lack of childcare | 19 | 12.6% | |
| PDI/Time out | 17 | 11.3% | |
| Barriers to attendance | 13 | 8.6% | |
Note. (n = 151).
Changes in Caseload Characteristics
| Survey 1 | Survey 2 | |||||||
|---|---|---|---|---|---|---|---|---|
| 19.75 | 16.65 | 18.42 | 15.42 | 1.61 | 215 | .110 | .11 | |
| 5.53 | 4.71 | 4.50 | 5.84 | 2.67 | 215 | .008* | .18 | |
| White | 54.85% | 34.11% | 57.18% | 36.48% | -1.36 | 216 | .177 | .09 |
| Latinx | 25.58% | 32.36% | 23.49% | 32.58% | 1.60 | 216 | .110 | .11 |
| Black/African American | 13.50% | 19.02% | 12.21% | 20.04% | .949 | 217 | .343 | .06 |
| Asian/Pacific Islander | 2.00% | 5.77% | 2.13% | 6.52% | -.248 | 218 | .804 | .02 |
| American Indian/Alaska Native | 1.72% | 10.29% | 1.65% | 10.16% | .240 | 217 | .811 | .02 |
Note. N = 223. M = Mean, SD = Standard Deviation.