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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.
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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
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Abstract
BACKGROUND The use and abuse of alcohol among active duty personnel is well documented in the research literature. Over the last decade rates of heavy and excessive drinking within the military have increased significantly, coinciding with both Operation Enduring Freedom and Operation Iraqi Freedom. The heavy use of alcohol by military personnel can be attributed to multiple factors such as the psychosocial and environmental stressors of military life and is frequently linked to mental health issues, the transient nature of the armed forces, the number and length of deployments, and exposure to life-threatening situations in combat environments. However, it is also likely rates of heavy alcohol use in the military are influenced by the possibility that individuals who already drink heavily choose to enlist in the armed services. The purpose of the present study was to test the association between drinking in emerging adulthood and military enlistment in a nationally representative sample of participants. METHODS Using data from the National Longitudinal Study of Adolescent to Adult Health (Add Health), we tested the relationship between alcohol consumption in emerging adulthood and military enlistment in a sample of young adults ages 24 to 32 (n = 12,288). Results were stratified for men and women. FINDINGS Results of the multivariate logistic regression models stratified by gender indicated male participants who reported consuming alcohol in the past year were more likely to join the military relative to nondrinkers after controlling for respondent age, race, and education. There were no significant associations between alcohol consumption and military enlistment for women. DISCUSSION These findings demonstrate limited support for a relationship between alcohol consumption and military service. For men who drink, choosing military service may be influenced by the culture of drinking within the armed services. However, given the limited support found in the present study for a link between drinking in emerging adulthood and military service, the current high use of alcohol among active duty personnel is likely influenced by socialization processes within the military as well as from the stress of increased deployments to life-threatening combat situations. These results have important implications for informing policy and prevention programs within the armed services to improve both the short-term and long-term success of military service members.
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Affiliation(s)
- Mojtaba Shirvani
- San Diego State University School of Social Work, 5500 Campanile Drive, San Diego, CA 92181-4119
| | - Mark B Reed
- Center for Alcohol and other Drug Studies and Services, San Diego State University School of Social Work, 5500 Campanile Drive, San Diego, CA 92181-4119
| | - Sarah Clingan
- Center for Alcohol and other Drug Studies and Services, San Diego State University School of Social Work, 5500 Campanile Drive, San Diego, CA 92181-4119
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Whiteside U, Lungu A, Richards J, Simon GE, Clingan S, Siler J, Snyder L, Ludman E. Designing messaging to engage patients in an online suicide prevention intervention: survey results from patients with current suicidal ideation. J Med Internet Res 2014; 16:e42. [PMID: 24509475 PMCID: PMC3936268 DOI: 10.2196/jmir.3173] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2013] [Revised: 01/14/2014] [Accepted: 01/18/2014] [Indexed: 01/19/2023] Open
Abstract
Background Computerized, Internet-delivered interventions can be efficacious; however, uptake and maintaining sustained client engagement are still big challenges. We see the development of effective engagement strategies as the next frontier in online health interventions, an area where much creative research has begun. We also argue that for engagement strategies to accomplish their purpose with novel targeted populations, they need to be tailored to such populations (ie, content is designed with the target population in mind). User-centered design frameworks provide a theoretical foundation for increasing user engagement and uptake by including users in development. However, deciding how to implement this approach to enage users in mental health intervention development is challenging. Objective The aim of this study was to get user input and feedback on acceptability of messaging content intended to engage suicidal individuals. Methods In March 2013, clinic intake staff distributed flyers announcing the study, “Your Feedback Counts” to potential participants (individuals waiting to be seen for a mental health appointment) together with the Patient Health Questionnaire. The flyer explained that a score of two or three (“more than half the days” or “nearly every day” respectively) on the suicide ideation question made them eligible to provide feedback on components of a suicide prevention intervention under development. The patient could access an anonymous online survey by following a link. After providing consent online, participants completed the anonymous survey. Results Thirty-four individuals provided data on past demographic information. Participants reported that they would be most drawn to an intervention where they knew that they were cared about, that was personalized, that others like them had found it helpful, and that included examples with real people. Participants preferred email invitations with subject lines expressing concern and availability of extra resources. Participants also provided feedback about a media prototype including a brand design and advertisement video for introducing the intervention. Conclusions This paper provides one model (including development of an engagement survey, audience for an engagement survey, methods for presenting results of an engagement survey) for including target users in the development of uptake strategies for online mental health interventions.
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