Patterns of Health Care Use 5 Years After an Intervention Linking Patients in Addiction Treatment With a Primary Care Practitioner

Esti Iturralde, Constance M Weisner, Sara R Adams, Felicia W Chi, Thekla B Ross, Sarah F Cunningham, Murtuza Ghadiali, Asma H Asyyed, Derek D Satre, Cynthia I Campbell, Stacy A Sterling, Esti Iturralde, Constance M Weisner, Sara R Adams, Felicia W Chi, Thekla B Ross, Sarah F Cunningham, Murtuza Ghadiali, Asma H Asyyed, Derek D Satre, Cynthia I Campbell, Stacy A Sterling

Abstract

Importance: Substance use disorders are associated with high rates of emergency department (ED) use and challenges engaging with primary care services.

Objective: To examine 5-year health care engagement and utilization outcomes for participants in the LINKAGE trial, given previously reported associations of LINKAGE with improved care engagement in the short term.

Design, setting, and participants: In this post hoc analysis of a nonrandomized controlled trial, participants were assigned to the LINKAGE or usual care (UC) groups using a nonrandomized 3-month alternating off and on strategy over 30 months. Baseline through 5-year follow-up data were collected from April 2011 to October 2018. The trial was conducted at an urban outpatient addiction treatment clinic within a large health system among patients newly enrolled in addiction treatment. Data analysis was conducted from April 2021 to February 2022.

Intervention: The LINKAGE intervention included 6 group-based sessions emphasizing patient agency, skill, and motivation in navigating health care services as well as a facilitated telephone or email connection with a primary care practitioner. The UC group received medical education.

Main outcomes and measures: Substance use problem discussions with primary care practitioners (by patient self-report at 1-, 2-, and 5-year follow-up interview) and annual use of the electronic patient portal, primary care, and ED based on electronic health records.

Results: A total of 503 participants, with a mean (SD) age of 42 (12) years, 346 (69%) male participants and 37 (7%) African American, 34 (7%) Asian, and 101 (20%) Hispanic participants, were assigned to LINKAGE (252 participants) or UC (251 participants). Compared with UC participants, LINKAGE participants were significantly more likely to discuss substance use problems with a primary care practitioner at 1-year follow-up (risk ratio [RR], 1.30; 95% CI, 1.03-1.65; P = .03) and use the electronic patient portal at 1- and 2-year follow-up (eg, messaging clinicians at 2 years: RR, 1.24; 95% CI, 1.04-1.47; P = .02). The LINKAGE group had small, statistically significant 5-year annual increases in primary care use (RR, 1.03; 95% CI, 1.003-1.07; P = .03) and significant annual decreases in substance-related ED use (RR, 0.79; 95% CI, 0.64-0.97; P = .03), relative to UC. The LINKAGE group did not significantly differ from the UC group on other types of ED utilization.

Conclusions and relevance: In this study, a patient activation intervention embedded in outpatient addiction treatment was associated with sustained improvements in health care engagement beyond previously reported 6-month outcomes and with long-term improvements in health care use patterns.

Trial registration: ClinicalTrials.gov Identifier: NCT01621711.

Conflict of interest statement

Conflict of Interest Disclosures: Dr Campbell reported receiving grants from PMR Consortium, a group of companies working together to conduct postmarketing studies required by the US Food and Drug Administration that assesses risks related to opioid analgesic use, outside the submitted work. No other disclosures were reported.

Figures

Figure 1.. Study Flow Diagram for the…
Figure 1.. Study Flow Diagram for the LINKAGE Study
EHR indicates electronic health record.
Figure 2.. Estimated Percentage of Participants With…
Figure 2.. Estimated Percentage of Participants With Primary Care and Emergent, Nonemergent, and Substance-Related Emergency Department Visits Per Year of Study Follow-up, by Group
Marginal percentage estimates by group were plotted from a modified Poisson generalized estimating equations model per outcome adjusting for (linear) time, a time × group interaction term, age, Charlson Comorbidity Index, and baseline emergent-type emergency department use.

References

    1. U.S. Department of Health and Human Services (HHS) Office of the Surgeon General . Facing Addiction in America: the Surgeon General’s Report on Alcohol, Drugs, and Health. Department of Health and Human Services; 2016.
    1. Mertens JR, Lu YW, Parthasarathy S, Moore C, Weisner CM. Medical and psychiatric conditions of alcohol and drug treatment patients in an HMO: comparison with matched controls. Arch Intern Med. 2003;163(20):2511-2517. doi:10.1001/archinte.163.20.2511
    1. Young JQ, Kline-Simon AH, Mordecai DJ, Weisner C. Prevalence of behavioral health disorders and associated chronic disease burden in a commercially insured health system: findings of a case-control study. Gen Hosp Psychiatry. 2015;37(2):101-108. doi:10.1016/j.genhosppsych.2014.12.005
    1. McLellan AT, Starrels JL, Tai B, et al. . Can substance use disorders be managed using the chronic care model? review and recommendations from a NIDA Consensus Group. Public Health Rev. 2014;35(2):8. doi:10.1007/BF03391707
    1. Cederbaum JA, Guerrero EG, Mitchell KR, Kim T. Utilization of emergency and hospital services among individuals in substance abuse treatment. Subst Abuse Treat Prev Policy. 2014;9(1):16. doi:10.1186/1747-597X-9-16
    1. Cherpitel CJ, Ye Y. Drug use and problem drinking associated with primary care and emergency room utilization in the US general population: data from the 2005 national alcohol survey. Drug Alcohol Depend. 2008;97(3):226-230. doi:10.1016/j.drugalcdep.2008.03.033
    1. Giannouchos TV, Washburn DJ, Kum H-C, Sage WM, Ohsfeldt RL. Predictors of multiple emergency department utilization among frequent emergency department users in 3 states. Med Care. 2020;58(2):137-145. doi:10.1097/MLR.0000000000001228
    1. Parthasarathy S, Weisner C, Hu T-W, Moore C. Association of outpatient alcohol and drug treatment with health care utilization and cost: revisiting the offset hypothesis. J Stud Alcohol. 2001;62(1):89-97. doi:10.15288/jsa.2001.62.89
    1. Chi FW, Parthasarathy S, Mertens JR, Weisner CM. Continuing care and long-term substance use outcomes in managed care: early evidence for a primary care-based model. Psychiatr Serv. 2011;62(10):1194-1200. doi:10.1176/ps.62.10.pss6210_1194
    1. Parthasarathy S, Chi FW, Mertens JR, Weisner C. The role of continuing care in 9-year cost trajectories of patients with intakes into an outpatient alcohol and drug treatment program. Med Care. 2012;50(6):540-546. doi:10.1097/MLR.0b013e318245a66b
    1. Mertens JR, Flisher AJ, Satre DD, Weisner CM. The role of medical conditions and primary care services in 5-year substance use outcomes among chemical dependency treatment patients. Drug Alcohol Depend. 2008;98(1-2):45-53. doi:10.1016/j.drugalcdep.2008.04.007
    1. Saitz R, Horton NJ, Larson MJ, Winter M, Samet JH. Primary medical care and reductions in addiction severity: a prospective cohort study. Addiction. 2005;100(1):70-78. doi:10.1111/j.1360-0443.2005.00916.x
    1. American College of Emergency Physicians Public Health and Injury Prevention Committee . Stigma in the emergency department: an information paper. 2020. Accessed May 16, 2022.
    1. Matthews S, Dwyer R, Snoek A. Stigma and self-stigma in addiction. J Bioeth Inq. 2017;14(2):275-286. doi:10.1007/s11673-017-9784-y
    1. Ray MK, Beach MC, Nicolaidis C, Choi D, Saha S, Korthuis PT. Patient and provider comfort discussing substance use. Fam Med. 2013;45(2):109-117.
    1. Press KR, Zornberg GZ, Geller G, Carrese J, Fingerhood MI. What patients with addiction disorders need from their primary care physicians: a qualitative study. Subst Abus. 2016;37(2):349-355. doi:10.1080/08897077.2015.1080785
    1. McCarty D, Rieckmann T, Baker RL, McConnell KJ. The perceived impact of 42 CFR Part 2 on coordination and integration of care: a qualitative analysis. Psychiatr Serv. 2017;68(3):245-249. doi:10.1176/appi.ps.201600138
    1. Weisner CM, Chi FW, Lu Y, et al. . Examination of the effects of an intervention aiming to link patients receiving addiction treatment with health care: the LINKAGE clinical trial. JAMA Psychiatry. 2016;73(8):804-814. doi:10.1001/jamapsychiatry.2016.0970
    1. Gordon NP. Similarity of adult Kaiser Permanente members to the adult population in Kaiser Permanente’s Northern California service area: comparisons based on the 2017/2018 cycle of the California Health Interview Survey. Kaiser Permanente Division of Research. November 8, 2020. Accessed March 22, 2022.
    1. Hibbard JH, Stockard J, Mahoney ER, Tusler M. Development of the Patient Activation Measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv Res. 2004;39(4 Pt 1):1005-1026. doi:10.1111/j.1475-6773.2004.00269.x
    1. Greene J, Hibbard JH, Sacks R, Overton V. When seeing the same physician, highly activated patients have better care experiences than less activated patients. Health Aff (Millwood). 2013;32(7):1299-1305. doi:10.1377/hlthaff.2012.1409
    1. Maeng DD, Martsolf GR, Scanlon DP, Christianson JB. Care coordination for the chronically ill: understanding the patient’s perspective. Health Serv Res. 2012;47(5):1960-1979. doi:10.1111/j.1475-6773.2012.01405.x
    1. Alexander JA, Hearld LR, Mittler JN, Harvey J. Patient-physician role relationships and patient activation among individuals with chronic illness. Health Serv Res. 2012;47(3 Pt 1):1201-1223. doi:10.1111/j.1475-6773.2011.01354.x
    1. Parchman ML, Zeber JE, Palmer RF. Participatory decision making, patient activation, medication adherence, and intermediate clinical outcomes in type 2 diabetes: a STARNet study. Ann Fam Med. 2010;8(5):410-417. doi:10.1370/afm.1161
    1. Hochhalter AK, Song J, Rush J, Sklar L, Stevens A. Making the Most of Your Healthcare intervention for older adults with multiple chronic illnesses. Patient Educ Couns. 2010;81(2):207-213. doi:10.1016/j.pec.2010.01.018
    1. Deen D, Lu W-H, Rothstein D, Santana L, Gold MR. Asking questions: the effect of a brief intervention in community health centers on patient activation. Patient Educ Couns. 2011;84(2):257-260. doi:10.1016/j.pec.2010.07.026
    1. American Psychiatric Association . Diagnostic and Statistical Manual of Mental Disorders. 4th ed, text revision. American Psychiatric Association; 2000.
    1. Caetano R, Raspberry K. Drinking and DSM-IV alcohol and drug dependence among White and Mexican-American DUI offenders. J Stud Alcohol. 2000;61(3):420-426. doi:10.15288/jsa.2000.61.420
    1. Charlson ME, Charlson RE, Peterson JC, Marinopoulos SS, Briggs WM, Hollenberg JP. The Charlson Comorbidity Index is adapted to predict costs of chronic disease in primary care patients. J Clin Epidemiol. 2008;61(12):1234-1240. doi:10.1016/j.jclinepi.2008.01.006
    1. Charlson M, Wells MT, Ullman R, King F, Shmukler C. The Charlson Comorbidity Index can be used prospectively to identify patients who will incur high future costs. PLoS One. 2014;9(12):e112479. doi:10.1371/journal.pone.0112479
    1. Johnston KJ, Allen L, Melanson TA, Pitts SR. A “patch” to the NYU emergency department visit algorithm. Health Serv Res. 2017;52(4):1264-1276. doi:10.1111/1475-6773.12638
    1. Ballard DW, Price M, Fung V, et al. . Validation of an algorithm for categorizing the severity of hospital emergency department visits. Med Care. 2010;48(1):58-63. doi:10.1097/MLR.0b013e3181bd49ad
    1. Zou GY, Donner A. Extension of the modified Poisson regression model to prospective studies with correlated binary data. Stat Methods Med Res. 2013;22(6):661-670. doi:10.1177/0962280211427759
    1. White IR, Royston P, Wood AM. Multiple imputation using chained equations: Issues and guidance for practice. Stat Med. 2011;30(4):377-399. doi:10.1002/sim.4067
    1. Little RJ. Missing-data adjustments in large surveys. J Bus Econ Stat. 1988;6(3):287-296. doi:10.2307/1391878
    1. Des Jarlais DC, Lyles C, Crepaz N; TREND Group . Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement. Am J Public Health. 2004;94(3):361-366. doi:10.2105/AJPH.94.3.361
    1. Graetz I, Huang J, Muelly ER, Fireman B, Hsu J, Reed ME. Association of mobile patient portal access with diabetes medication adherence and glycemic levels among adults with diabetes. JAMA Netw Open. 2020;3(2):e1921429-e1921429. doi:10.1001/jamanetworkopen.2019.21429
    1. Sarkar U, Lyles CR, Parker MM, et al. . Use of the refill function through an online patient portal is associated with improved adherence to statins in an integrated health system. Med Care. 2014;52(3):194-201. doi:10.1097/MLR.0000000000000069
    1. Harris LT, Koepsell TD, Haneuse SJ, Martin DP, Ralston JD. Glycemic control associated with secure patient-provider messaging within a shared electronic medical record: a longitudinal analysis. Diabetes Care. 2013;36(9):2726-2733. doi:10.2337/dc12-2003
    1. Iturralde E, Slama N, Kline-Simon AH, Young-Wolff KC, Mordecai D, Sterling SA. Premature mortality associated with severe mental illness or substance use disorder in an integrated health care system. Gen Hosp Psychiatry. 2021;68:1-6. doi:10.1016/j.genhosppsych.2020.11.002
    1. Saitz R, Cheng DM, Winter M, et al. . Chronic care management for dependence on alcohol and other drugs: the AHEAD randomized trial. JAMA. 2013;310(11):1156-1167. doi:10.1001/jama.2013.277609
    1. Samet JH, Larson MJ, Horton NJ, Doyle K, Winter M, Saitz R. Linking alcohol- and drug-dependent adults to primary medical care: a randomized controlled trial of a multi-disciplinary health intervention in a detoxification unit. Addiction. 2003;98(4):509-516. doi:10.1046/j.1360-0443.2003.00328.x
    1. Blumenthal D, Tavenner M. The “meaningful use” regulation for electronic health records. N Engl J Med. 2010;363(6):501-504. doi:10.1056/NEJMp1006114
    1. Steinbrook R. Health care and the American Recovery and Reinvestment Act. N Engl J Med. 2009;360(11):1057-1060. doi:10.1056/NEJMp0900665
    1. Lyles CR, Nelson EC, Frampton S, Dykes PC, Cemballi AG, Sarkar U. Using electronic health record portals to improve patient engagement: research priorities and best practices. Ann Intern Med. 2020;172(11)(suppl):S123-S129. doi:10.7326/M19-0876

Source: PubMed

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