| Literature DB >> 35973033 |
Kimberly D Williams1, Claudine T Jurkovitz1, Mia A Papas1, Ann Kathryn Muther2, Sharon L Anderson2, Tammy L Anderson3.
Abstract
BACKGROUND: The emergence of COVID-19 exacerbated the existing epidemic of opioid use disorder (OUD) across the United States due to the disruption of in-person treatment and support services. Increased use of technology including telehealth and the development of new partnerships may facilitate coordinated treatment interventions that comprehensively address the health and well-being of individuals with OUD.Entities:
Keywords: COVID-19; SMS; Short Message Service; care management; drug addiction; eHealth; health intervention; opioid; opioid treatment program; opioid use; opioid use disorder; patient care management; substance use; telehealth; telehealth intervention; telemedicine; text message; text messaging
Year: 2022 PMID: 35973033 PMCID: PMC9431992 DOI: 10.2196/39772
Source DB: PubMed Journal: JMIR Form Res ISSN: 2561-326X
Figure 1Flow diagram of OTP participants in the COVID-19 telehealth care management program. OTP: opioid treatment program.
Characteristics of opioid treatment program patients enrolled and not enrolled in the COVID-19 telehealth care management program.
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| All patients (N=18) | Enrolled (n=12) | Not enrolleda (n=6) | |||
| Age (years), mean (SD) | 41.47 (11.43)b | 43.0 (11.60) | 37.80 (11.34)b | .41 | ||
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| .10 | |||||
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| Female | 12 (67) | 7 (58) | 5 (83) |
| |
|
| Male | 5 (28) | 5 (42) | 0 (0) |
| |
|
| Unknown, not reported | 1 (6) | 0 (0) | 1 (17) |
| |
|
| .25 | |||||
|
| White | 15 (83) | 11 (92) | 4 (67) |
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| Otherc | 2 (11) | 1 (8) | 1 (17) |
| |
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| Unknown, not reported | 1 (6) | 0 (0) | 1 (17) |
| |
|
| .19 | |||||
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| Medicaid | 14 (78) | 9 (75) | 5 (83) |
| |
|
| Otherd | 3 (17) | 3 (25) | 0 (0) |
| |
|
| Unknown, not reported | 1 (6) | 0 (0) | 1 (17) |
| |
aPatients that were not enrolled either declined participation or were lost to follow-up after agreeing to be contacted by a telehealth care manager.
bAge for 1 participant not reported.
cOther race: due to the small sample size, participants with race identified as “Black/African American” or “Other” were combined into one category.
dOther insurance type: due to the small sample size, participants with insurance type identified as “Medicare,” “Private” plan, or “dual Medicaid/Medicare” plan were combined into one category.