Andrea H Kline-Simon1, Scott P Stumbo2, Cynthia I Campbell1, Ingrid A Binswanger3, Constance Weisner1,4, Irina V Haller5, Rulin C Hechter6, Brian K Ahmedani7, Gwen T Lapham8, Amy M Loree7, Stacy A Sterling1, Bobbi Jo H Yarborough2. 1. Division of Research, Kaiser Permanente Northern California, Oakland, California, USA. 2. Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA. 3. Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, USA. 4. Department of Psychiatry, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA. 5. Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota, USA. 6. Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA. 7. Center for Health Policy and Health Services Research and Behavioral Health Services, Henry Ford Health System, Detroit, Minnesota, USA. 8. Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Abstract
Background: Treatment initiation and engagement rates for alcohol and other drug (AOD) use disorders differ depending on where the AOD use disorder was identified. Emergency department (ED) and primary care (PC) are 2 common settings where patients are identified; however, it is unknown whether characteristics of patients who initiate and engage in treatment differ between these settings. Methods: Patients identified with an AOD disorder in ED or PC settings were drawn from a larger study that examined Healthcare Effectiveness Data and Information Set (HEDIS) AOD treatment initiation and engagement measures across 7 health systems using electronic health record data (n = 54,321). Multivariable generalized linear models, with a logit link, clustered on health system, were used to model patient factors associated with initiation and engagement in treatment, between and within each setting. Results: Patients identified in the ED had higher odds of initiating treatment than those identified in PC (adjusted odds ratio [aOR] = 1.89, 95% confidence interval [CI] = 1.73-2.07), with no difference in engagement between the settings. Among those identified in the ED, compared with patients aged 18-29, older patients had higher odds of treatment initiation (age 30-49: aOR = 1.25, 95% CI = 1.12-1.40; age 50-64: aOR = 1.42, 95% CI = 1.26-1.60; age 65+: aOR = 1.27, 95% CI = 1.08-1.49). However, among those identified in PC, compared with patients aged 18-29, older patients were less likely to initiate (age 30-49: aOR = 0.81, 95% CI = 0.71-0.94; age 50-64: aOR = 0.68, 95% CI = 0.58-0.78; age 65+: aOR = 0.47, 95% CI = 0.40-0.56). Women identified in ED had lower odds of initiating treatment (aOR = 0.80, 95% CI = 0.72-0.88), whereas sex was not associated with treatment initiation in PC. In both settings, patients aged 65+ had lower odds of engaging compared with patients aged 18-29 (ED: aOR = 0.61, 95% CI = 0.38-0.98; PC: aOR = 0.42, 95% CI = 0.26-0.68). Conclusion: Initiation and engagement in treatment differed by sex and age depending on identification setting. This information could inform tailoring of future AOD interventions.
Background: Treatment initiation and engagement rates for alcohol and other drug (AOD) use disorders differ depending on where the AOD use disorder was identified. Emergency department (ED) and primary care (PC) are 2 common settings where patients are identified; however, it is unknown whether characteristics of patients who initiate and engage in treatment differ between these settings. Methods:Patients identified with an AOD disorder in ED or PC settings were drawn from a larger study that examined Healthcare Effectiveness Data and Information Set (HEDIS) AOD treatment initiation and engagement measures across 7 health systems using electronic health record data (n = 54,321). Multivariable generalized linear models, with a logit link, clustered on health system, were used to model patient factors associated with initiation and engagement in treatment, between and within each setting. Results:Patients identified in the ED had higher odds of initiating treatment than those identified in PC (adjusted odds ratio [aOR] = 1.89, 95% confidence interval [CI] = 1.73-2.07), with no difference in engagement between the settings. Among those identified in the ED, compared with patients aged 18-29, older patients had higher odds of treatment initiation (age 30-49: aOR = 1.25, 95% CI = 1.12-1.40; age 50-64: aOR = 1.42, 95% CI = 1.26-1.60; age 65+: aOR = 1.27, 95% CI = 1.08-1.49). However, among those identified in PC, compared with patients aged 18-29, older patients were less likely to initiate (age 30-49: aOR = 0.81, 95% CI = 0.71-0.94; age 50-64: aOR = 0.68, 95% CI = 0.58-0.78; age 65+: aOR = 0.47, 95% CI = 0.40-0.56). Women identified in ED had lower odds of initiating treatment (aOR = 0.80, 95% CI = 0.72-0.88), whereas sex was not associated with treatment initiation in PC. In both settings, patients aged 65+ had lower odds of engaging compared with patients aged 18-29 (ED: aOR = 0.61, 95% CI = 0.38-0.98; PC: aOR = 0.42, 95% CI = 0.26-0.68). Conclusion:Initiation and engagement in treatment differed by sex and age depending on identification setting. This information could inform tailoring of future AOD interventions.
Entities:
Keywords:
Alcohol and other drug disorders; emergency department; health services research; performance measures; primary care; substance-related disorders; treatment initiation
Authors: Constance Weisner; Cynthia I Campbell; Andrea Altschuler; Bobbi Jo H Yarborough; Gwen T Lapham; Ingrid A Binswanger; Rulin C Hechter; Brian K Ahmedani; Irina V Haller; Stacy A Sterling; Dennis McCarty; Derek D Satre; Andrea H Kline-Simon Journal: Subst Abus Date: 2019-01-24 Impact factor: 3.716
Authors: Kara M Bensley; Alex H S Harris; Shalini Gupta; Anna D Rubinsky; Rhonda Jones-Webb; Joseph E Glass; Emily C Williams Journal: J Subst Abuse Treat Date: 2016-11-11
Authors: Bobbi Jo H Yarborough; Felicia W Chi; Carla A Green; Agatha Hinman; Jennifer Mertens; Arne Beck; Michael Horberg; Constance Weisner; Cynthia I Campbell Journal: J Addict Med Date: 2018 Jul/Aug Impact factor: 3.702
Authors: Robert Dunigan; Andrea Acevedo; Kevin Campbell; Deborah W Garnick; Constance M Horgan; Alice Huber; Margaret T Lee; Lee Panas; Grant A Ritter Journal: J Behav Health Serv Res Date: 2014-01 Impact factor: 1.505
Authors: Mary E Charlson; Robert E Charlson; Janey C Peterson; Spyridon S Marinopoulos; William M Briggs; James P Hollenberg Journal: J Clin Epidemiol Date: 2008-07-10 Impact factor: 6.437
Authors: Megan A O'Grady; Joseph Conigliaro; Svetlana Levak; Jeanne Morley; Sandeep Kapoor; Melanie Ritter; Christina Marini; Jon Morgenstern Journal: J Prim Care Community Health Date: 2021 Jan-Dec