Literature Collection
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References
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Articles
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Grey Literature
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Opioids & SU
The Literature Collection contains over 11,000 references for published and grey literature on the integration of behavioral health and primary care. Learn More
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OBJECTIVE: The authors investigated adaptations to outpatient care delivery and changes in treatment demand and engagement among patients receiving medications for opioid use disorder (MOUD) in the months after the declaration of the COVID-19 public health emergency in 2020. METHODS: Data were collected through an online survey (June-November 2020) of outpatient MOUD prescribers. The survey obtained information on outpatient practices' adaptations to MOUD treatment and urine drug screening (UDS) and elicited provider views on the effects of the COVID-19 pandemic on patient demand for, and engagement in, treatment. Multivariable regression analyses were used to examine associations among practice characteristics, patient engagement, and service adaptations. RESULTS: Of 516 respondents, 74% reported adaptations to MOUD delivery during the pandemic. Most respondents implemented virtual visits for initial (67%) and follow-up (77%) contacts. Prescribers of buprenorphine were more likely than those who did not prescribe the medication to report MOUD adaptations. Among respondents reporting any MOUD adaptation, 77% made adaptations to their UDS practices. Among 513 respondents who answered COVID-19-related questions, 89% reported that the pandemic had affected the treatment and engagement of their patients. Of these respondents, 30% reported increased difficulty with patient engagement, and 45% reported that their patients preferred virtual visits during this period, whereas 18% endorsed patient preference for in-person visits. CONCLUSIONS: Telehealth and federal regulatory easements in response to the COVID-19 pandemic enabled providers to continue treating patients for opioid use disorder in 2020. The results suggest that care adaptations and changes in patient demand and engagement were common in the practices surveyed.

In order to investigate the patient experience of integrated behavioral health care in primary care settings, we implemented a patient cohort model from a combined site sample (N = 727) consisting of a family practice clinic and a Federally Qualified Health Center. Patient experience was measured using 12 questions from a validated measure, the Agency for Healthcare Research and Quality's Consumer Assessment of Health Care Providers and Systems (CAHPS®), Home and Community Based Services version, and six additional questions about interactions with an integrated behavioral health care team. We assessed bivariate relationships between satisfaction with integration and the clinic practice and self-reported physical health or self-reported mental/emotional health. We also utilized multiple regression to evaluate this relationship. Our analyses showed a statistically significant and small to moderate direct correlation between patients' self-reported health (both physical and mental/emotional health) and their ratings of the practice as a whole (p = .0003), such that patients who rated their physical and/or mental/emotional health as better were more likely to rate their overall satisfaction with the practice higher. The results of this study suggest that primary care patients with only mild to moderate health conditions (physical and/or mental/emotional) may experience greater satisfaction with integrated behavioral health care than patients with multiple and/or severe health conditions. In contrast, patients with multiple and/or severe health conditions may experience lower satisfaction with integrated behavioral health care and may be better served through higher levels of care.


This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.