1
|
Ober AJ, Dopp AR, Clingan SE, Curtis ME, Lin C, Calhoun S, Larkins S, Black M, Hanano M, Osterhage KP, Baldwin LM, Saxon AJ, Hichborn EG, Marsch LA, Mooney LJ, Hser YI. Stakeholder perspectives on a telemedicine referral and coordination model to expand medication treatment for opioid use disorder in rural primary care clinics. J Subst Use Addict Treat 2024; 156:209194. [PMID: 37863356 DOI: 10.1016/j.josat.2023.209194] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 04/11/2023] [Accepted: 10/16/2023] [Indexed: 10/22/2023]
Abstract
INTRODUCTION Opioid overdose deaths are increasing rapidly in the United States. Medications for opioid use disorder (MOUD) are effective and can be delivered in primary care, but uptake has been limited in rural communities. Referral to and coordination with an external telemedicine (TM) vendor by rural primary care clinics for MOUD (TM-MOUD) may increase MOUD access for rural patients, but we know little about perspectives on this model among key stakeholders. As part of a TM-MOUD feasibility study, we explored TM-MOUD acceptability and feasibility among personnel and patients from seven rural primary care clinics and a TM-MOUD vendor. METHODS We conducted virtual interviews or focus groups with clinic administrators (n = 7 interviews), clinic primary care and behavioral health providers (8 groups, n = 30), other clinic staff (9 groups, n = 37), patients receiving MOUD (n = 16 interviews), TM-MOUD vendor staff (n = 4 interviews), and vendor-affiliated behavioral health and prescribing providers (n = 17 interviews). We asked about experiences with and acceptability of MOUD (primarily buprenorphine) and telemedicine (TM) and a TM-MOUD referral and coordination model. We conducted content analysis to identify themes and participants quantitatively rated acceptability of TM-MOUD elements on a 4-item scale. RESULTS Perceived benefits of vendor-based TM-MOUD included reduced logistical barriers, more privacy and less stigma, and access to services not available locally (e.g., counseling, pain management). Barriers included lack of internet or poor connectivity in patients' homes, limited communication and trust between TM-MOUD and clinic providers, and questions about the value to the clinic of TM-MOUD referral to external vendor. Acceptability ratings for TM-MOUD were generally high; they were lowest among frontline staff. CONCLUSIONS Rural primary care clinic personnel, TM-MOUD vendor personnel, and patients generally perceived referral from primary care to a TM-MOUD vendor to hold potential for increasing access to MOUD in rural communities. Increasing TM-MOUD uptake requires buy-in and understanding among staff of the TM-MOUD workflow, TM services offered, requirements for patients, advantages over clinic-based or TM services from clinic providers, and identification of appropriate patients. Poverty, along with patient hesitation to initiate treatment, creates substantial barriers to MOUD treatment generally; insufficient internet availability creates a substantial barrier to TM-MOUD.
Collapse
Affiliation(s)
| | | | - Sarah E Clingan
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Megan E Curtis
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Chunqing Lin
- Semel Institute for Neuroscience and Human Behavior, Center for Community Health, University of California at Los Angeles, CA, USA
| | - Stacy Calhoun
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Sherry Larkins
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Megan Black
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Maria Hanano
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Katie P Osterhage
- Department of Family Medicine, University of Washington, Seattle, WA, USA
| | - Laura-Mae Baldwin
- Department of Family Medicine, University of Washington, Seattle, WA, USA
| | - Andrew J Saxon
- Veterans Affairs Puget Sound Health Care System, USA; Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Emily G Hichborn
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA
| | - Lisa A Marsch
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA
| | - Larissa J Mooney
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Yih-Ing Hser
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| |
Collapse
|
2
|
Hser YI, Mooney LJ, Baldwin LM, Ober A, Marsch LA, Sherman S, Matthews A, Clingan S, Fei Z, Zhu Y, Dopp A, Curtis ME, Osterhage KP, Hichborn EG, Lin C, Black M, Calhoun S, Holtzer CC, Nesin N, Bouchard D, Ledgerwood M, Gehring MA, Liu Y, Ha NA, Murphy SM, Hanano M, Saxon AJ. Care coordination between rural primary care and telemedicine to expand medication treatment for opioid use disorder: Results from a single-arm, multisite feasibility study. J Rural Health 2023; 39:780-788. [PMID: 37074350 PMCID: PMC10718290 DOI: 10.1111/jrh.12760] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/20/2023]
Abstract
PURPOSE The use of telemedicine (TM) has accelerated in recent years, yet research on the implementation and effectiveness of TM-delivered medication treatment for opioid use disorder (MOUD) has been limited. This study investigated the feasibility of implementing a care coordination model involving MOUD delivered via an external TM provider for the purpose of expanding access to MOUD for patients in rural settings. METHODS The study tested a care coordination model in 6 rural primary care sites by establishing referral and coordination between the clinic and a TM company for MOUD. The intervention spanned approximately 6 months from July/August 2020 to January 2021, coinciding with the peak of the COVID-19 pandemic. Each clinic tracked patients with OUD in a registry during the intervention period. A pre-/post-intervention design (N = 6) was used to assess the clinic-level outcome as patient-days on MOUD based on patient electronic health records. FINDINGS All clinics implemented critical components of the intervention, with an overall TM referral rate of 11.7% among patients in the registry. Five of the 6 sites showed an increase in patient-days on MOUD during the intervention period compared to the 6-month period before the intervention (mean increase per 1,000 patients: 132 days, P = .08, Cohen's d = 0.55). The largest increases occurred in clinics that lacked MOUD capacity or had a greater number of patients initiating MOUD during the intervention period. CONCLUSIONS To expand access to MOUD in rural settings, the care coordination model is most effective when implemented in clinics that have negligible or limited MOUD capacity.
Collapse
Affiliation(s)
- Yih-Ing Hser
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California, USA
| | - Larissa J. Mooney
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California, USA
- VA Greater Los Angeles Healthcare System, Los Angeles, California, USA
| | - Laura-Mae Baldwin
- Department of Family Medicine, University of Washington, Seattle, Washington, USA
| | | | - Lisa A. Marsch
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, USA
| | - Seth Sherman
- Data and Statistical Center, the Emmes Company, Rockville, Maryland, USA
| | - Abigail Matthews
- Data and Statistical Center, the Emmes Company, Rockville, Maryland, USA
| | - Sarah Clingan
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California, USA
| | - Zhe Fei
- Department of Biostatistics, University of California, Los Angeles, California, USA
| | - Yuhui Zhu
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California, USA
| | - Alex Dopp
- RAND Corporation, Santa Monica, California, USA
| | - Megan E. Curtis
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California, USA
| | - Katie P. Osterhage
- Department of Family Medicine, University of Washington, Seattle, Washington, USA
| | - Emily G. Hichborn
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, USA
| | - Chunqing Lin
- Semel Institute for Neuroscience and Human Behavior, Center for Community Health, University of California, Los Angeles, California, USA
| | - Megan Black
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California, USA
| | - Stacy Calhoun
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California, USA
| | | | - Noah Nesin
- Penobscot Community Health Care, Bangor, Maine, USA
| | | | - Maja Ledgerwood
- Rural Social Service Solutions, LLC, New Meadows, Idaho, USA
| | | | - Yanping Liu
- Center for Clinical Trials Network, National Institute on Drug Abuse, Bethesda, Maryland, USA
| | - Neul Ah Ha
- Clinical Coordinating Center, Emmes Company, Rockville, Maryland, USA
| | - Sean M. Murphy
- Department of Population Health Sciences, Weill Cornell Medical College, New York, New York, USA
| | - Maria Hanano
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California, USA
| | - Andrew J. Saxon
- Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| |
Collapse
|
3
|
Stafylis C, Vavala G, Wang Q, McLeman B, Lemley SM, Young SD, Xie H, Matthews AG, Oden N, Revoredo L, Shmueli-Blumberg D, Hichborn EG, McKelle E, Moran LM, Jacobs P, Marsch LA, Klausner JD. Relative Effectiveness of Social Media, Dating Apps, and Information Search Sites in Promoting HIV Self-testing: Observational Cohort Study. JMIR Form Res 2022; 6:e35648. [PMID: 36149729 PMCID: PMC9591705 DOI: 10.2196/35648] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 07/11/2022] [Accepted: 08/10/2022] [Indexed: 11/13/2022] Open
Abstract
Background Social media sites, dating apps, and information search sites have been used to reach individuals at high risk for HIV infection. However, it is not clear which platform is the most efficient in promoting home HIV self-testing, given that the users of various platforms may have different characteristics that impact their readiness for HIV testing. Objective This study aimed to compare the relative effectiveness of social media sites, dating apps, and information search sites in promoting HIV self-testing among minority men who have sex with men (MSM) at an increased risk of HIV infection. Test kit order rates were used as a proxy to evaluate promotion effectiveness. In addition, we assessed differences in characteristics between participants who ordered and did not order an HIV test kit. Methods Culturally appropriate advertisements were placed on popular sites of three different platforms: social media sites (Facebook, Instagram), dating apps (Grindr, Jack’D), and information search sites (Google, Bing). Advertisements targeted young (18-30 years old) and minority (Black or Latinx) MSM at risk of HIV exposure. Recruitment occurred in 2 waves, with each wave running advertisements on 1 platform of each type over the same period. Participants completed a baseline survey assessing sexual or injection use behavior, substance use including alcohol, psychological readiness to test, attitudes toward HIV testing and treatment, and HIV-related stigma. Participants received an electronic code to order a free home-based HIV self-test kit. Follow-up assessments were conducted to assess HIV self-test kit use and uptake of pre-exposure prophylaxis (PrEP) at 14 and 60 days post enrollment. Results In total, 271 participants were enrolled, and 254 were included in the final analysis. Among these 254 participants, 177 (69.7%) ordered a home HIV self-test kit. Most of the self-test kits were ordered by participants enrolled from dating apps. Due to waves with low enrollment, between wave statistical comparisons were not feasible. Within wave comparison revealed that Jack’D showed higher order rates (3.29 kits/day) compared to Instagram (0.34 kits/day) and Bing (0 kits/day). There were no associations among self-test kit ordering and HIV-related stigma, perceptions about HIV testing and treatment, and mistrust of medical organizations. Conclusions Our findings show that using popular dating apps might be an efficient way to promote HIV self-testing. Stigma, perceptions about HIV testing and treatment, or mistrust of medical organizations may not affect order rates of HIV test kits promoted on the internet. Trial Registration ClinicalTrials.gov NCT04155502; https://clinicaltrials.gov/ct2/show/NCT04155502 International Registered Report Identifier (IRRID) RR2-10.2196/20417
Collapse
Affiliation(s)
- Chrysovalantis Stafylis
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States
| | - Gabriella Vavala
- Division of Infectious Diseases, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States
| | - Qiao Wang
- Division of Infectious Diseases, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States
| | - Bethany McLeman
- Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Shea M Lemley
- Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Sean D Young
- Department of Emergency Medicine, School of Medicine, University of California, Irvine, Irvine, CA, United States
- Department of Informatics, Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States
| | - Haiyi Xie
- Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | | | - Neal Oden
- The Emmes Company LLC, Rockville, MD, United States
| | - Leslie Revoredo
- Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | | | - Emily G Hichborn
- Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Erin McKelle
- Education, Training and Research Associates, Oakland, CA, United States
| | - Landhing M Moran
- Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Petra Jacobs
- National Institute on Aging, Bethesda, MD, United States
| | - Lisa A Marsch
- Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Jeffrey D Klausner
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States
| |
Collapse
|
4
|
Hichborn EG, Moore SK, Gauthier PR, Agosti NO, Bell KD, Boggis JS, Lambert-Harris CA, Saunders EC, Turner AM, McLeman BM, Marsch LA. Technology-Based Interventions in Substance Use Treatment to Promote Health Equity Among People Who Identify as African American/Black, Hispanic/Latinx, and American Indian/Alaskan Native: Protocol for a Scoping Review. JMIR Res Protoc 2022; 11:e34508. [PMID: 35579930 PMCID: PMC9157317 DOI: 10.2196/34508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 02/05/2022] [Accepted: 04/18/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Technology-based interventions (TBIs; ie, web-based and mobile interventions) have the potential to promote health equity in substance use treatment (SUTx) for underrepresented groups (people who identify as African American/Black, Hispanic/Latinx, and American Indian/Alaskan Native) by removing barriers and increasing access to culturally relevant effective treatments. However, technologies (emergent and more long-standing) may have unintended consequences that could perpetuate health care disparities among people who identify as a member of one of the underrepresented groups. Health care research, and SUTx research specifically, is infrequently conducted with people who identify with these groups as the main focus. Therefore, an improved understanding of the literature at the intersection of SUTx, TBIs, and underrepresented groups is warranted to avoid exacerbating inequities and to promote health equity. OBJECTIVE This study aims to explore peer-reviewed literature (January 2000-March 2021) that includes people who identify as a member of one of the underrepresented groups in SUTx research using TBIs. We further seek to explore whether this subset of research is race/ethnicity conscious (does the research consider members of underrepresented groups beyond their inclusion as study participants in the introduction, methods, results, or discussion). METHODS Five electronic databases (MEDLINE, Scopus, Cochrane Library, CINAHL, and PsycInfo) were searched to identify SUTx research using TBIs, and studies were screened for eligibility at the title/abstract and full-text levels. Studies were included if their sample comprised of people who identify as a member of one of the underrepresented groups at 50% or more when combined. RESULTS Title/abstract and full-text reviews were completed in 2021. These efforts netted a sample of 185 studies that appear to meet inclusionary criteria. Due to the uniqueness of tobacco relative to other substances in the SUTx space, as well as the large number of studies netted, we plan to separately publish a scoping review on tobacco-focused studies that meet all other criteria. Filtering for tobacco-focused studies (n=31) netted a final full-text sample for a main scoping review of 154 studies. The tobacco-focused scoping review manuscript is expected to be submitted for peer review in Spring 2022. The main scoping review data extraction and data validation to confirm the accuracy and consistency of data extraction across records was completed in March 2022. We expect to publish the main scoping review findings by the end of 2022. CONCLUSIONS Research is needed to increase our understanding of the range and nature of TBIs being used in SUTx research studies with members of underrepresented groups. The planned scoping review will highlight research at this intersection to promote health equity. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/34508.
Collapse
Affiliation(s)
- Emily G Hichborn
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Sarah K Moore
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Phoebe R Gauthier
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Nico O Agosti
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Kathleen D Bell
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Jesse S Boggis
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Hanover, NH, United States
| | - Chantal A Lambert-Harris
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Elizabeth C Saunders
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Avery M Turner
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Bethany M McLeman
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Lisa A Marsch
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| |
Collapse
|