| Literature DB >> 34199582 |
Augustine W Kang1, Mary Walton2, Ariel Hoadley3, Courtney DelaCuesta1, Linda Hurley2, Rosemarie Martin1.
Abstract
Background: To identify and document the treatment experiences among patients with opioid use disorder (OUD) in the context of the rapid move from in-person to telephone counseling due to the COVID-19 pandemic.Entities:
Keywords: needs assessment; opioid use disorder treatment; qualitative; telehealth services
Year: 2021 PMID: 34199582 PMCID: PMC8226454 DOI: 10.3390/healthcare9060663
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
Open-ended questions.
| Domain | Question |
|---|---|
| Satisfaction | How satisfied are you currently with your telephone counseling sessions? Please tell us why you feel this satisfaction level. |
| Convenience | How convenient is telephone counseling for you compared to being in the office face-to-face? Please tell us why it is more, the same, or less convenient. |
| Relationship with counselor | Please describe how your relationship with your counselor may have changed using telephone counseling. |
| Substance use and recovery | If you would like to explain how counseling has or has not helped in your substance use or recovery, please do so. |
| General | Is there anything else you would like to tell us about your counseling experiences during the pandemic? |
Demographics and valency characteristics (n = 237).
| Variable | Valency |
| ||
|---|---|---|---|---|
| Positive | Mixed/Negative ƚ | |||
| Valency of responses | 184 (78) | 53 (22) | ||
| Age | 41.7 ± 10.2 years | 41.3 ± 10.1 | 41.7 ± 11.8 | 0.813 a |
| Insurance status * | ||||
| Medicaid/State-based | 74% | NA | NA | |
| Medicare | 6% | |||
| Commercial | 14% | |||
| Self-pay | 6% | |||
| Gender | ||||
| Male | 105 (52) | 83 (52) | 22 (50) | 0.798 b |
| Female | 98 (48) | 76 (48) | 22 (50) | |
| Race/Ethnicity | ||||
| White, non-Hispanic | 133 (81) | 100 (79) | 33 (90) | 0.562 b |
| Black, non-Hispanic | 6 (4) | 5 (4) | 1 (3) | |
| Hispanic | 16 (10) | 15 (12) | 1 (3) | |
| Unknown | 9 (5) | 7 (5) | 2 (4) | |
Notes: Missing data for gender = 34 and for race/ethnicity = 73. ƚ Negative-only participants were n = 29 (12% of total responses). * Insurance status was PHI and hence was not matched to participant IDs in this survey. Figures presented are aggregated data for the broader participant population. a Independent samples t-test. b Chi-square analysis.
Figure 1Overview of subthemes and codes—positive valency.
Figure 2Overview of subthemes and codes—negative valency.
Figure 3Frequencies of codes—positive valency.
Figure 4Frequencies of codes—negative valency.