TY - JOUR
T1 - Factors associated with Healthcare Effectiveness Data and Information Set (HEDIS) alcohol and other drug measure performance in 2014–2015
AU - Weisner, Constance
AU - Campbell, Cynthia I.
AU - Altschuler, Andrea
AU - Yarborough, Bobbi Jo H.
AU - Lapham, Gwen T.
AU - Binswanger, Ingrid A.
AU - Hechter, Rulin C.
AU - Ahmedani, Brian K.
AU - Haller, Irina V.
AU - Sterling, Stacy A.
AU - McCarty, Dennis
AU - Satre, Derek D.
AU - Kline-Simon, Andrea H.
N1 - Funding Information:
We thank Agatha Hinman at Kaiser Permanente Northern California and Richard Contreras at Kaiser Permanente Southern California for their contributions. This study was supported by a grant from the National Institute of Drug Abuse (NIDA) 3UG1DA040314-02S2. The content is solely the responsibility of the authors and does not necessarily represent the official views of NIDA. The NIDA Clinical Trials Network (CTN) Research Development Committee reviewed the study protocol and the NIDA CTN publications committee reviewed and approved the manuscript for publication. The funding organization had no role in the collection, management, analysis, and interpretation of the data or decision to submit the manuscript for publication.
Publisher Copyright:
© 2019, © 2019 The Author(s). Published with license by Taylor & Francis Group, LLC.
PY - 2019/7/3
Y1 - 2019/7/3
N2 - Background: Only 10% of patients with alcohol and other drug (AOD) disorders receive treatment. The AOD Initiation and Engagement in Treatment (AOD-IET) measure was added to the national Healthcare Effectiveness Data and Information Set (HEDIS) to improve access to care. This study identifies factors related to improving AOD-IET rates. Methods: We include data from 7 health systems with differing geographic, patient demographic, and organizational characteristics; all used a common Virtual Data Warehouse containing electronic health records and insurance claims data. Multilevel logistic regression models examined AOD-IET among adults (18+). Results: A total of 86,565 patients had an AOD diagnosis qualifying for the HEDIS denominator. Initiation rates varied from 26% to 46%; engagement rates varied from 14% to 29%. Women versus men (odds ratio [OR] = 0.81, 95% confidence interval [CI] = 0.76–0.86); Hispanics (OR = 0.85, 95% CI = 0.79–0.91), black/African Americans (OR = 0.82, 95% CI = 0.75–0.90), and Asian Americans (OR = 0.83, 95% CI = 0.72–0.95) versus whites; and patients aged 65+ versus 18–29 (OR = 0.82, 95% CI = 0.74–0.90) had lower odds of initiation. Patients aged 30–49 versus 18–29 (OR = 1.11, 95% CI = 1.04–1.19) and those with prior psychiatric (OR = 1.26, 95% CI = 1.18–1.35) and medical (OR = 1.18, 95% CI = 1.10–1.26) conditions had higher odds of engagement. Identification in primary care versus other departments was related to lower odds of initiation (emergency department [ED]: OR = 1.55, 95% CI = 1.45–1.66; psychiatry/AOD treatment: OR = 3.58, 95% CI = 3.33–3.84; other outpatient: OR = 1.19, 95% CI = 1.06–1.32). Patients aged 30–49 versus 18–29 had higher odds of engagement (OR = 1.26, 95% CI = 1.10–1.43). Patients aged 65+ versus 18–29 (OR = 0.51, 95% CI = 0.43–0.62) and black/African Americans versus whites (OR = 0.64, 95% CI = 0.53–0.77) had lower odds. Those initiating treatment in psychiatry/AOD treatment versus primary care (OR = 7.02, 95% CI = 5.93–8.31) had higher odds of engagement; those in inpatient (OR = 0.40, 95% CI = 0.32–0.50) or other outpatient (OR = 0.73, 95% CI = 0.59–0.91) settings had lower odds. Discussion: Rates of initiation and engagement varied but were low. Findings identified age, race/ethnicity, co-occurring conditions, and department of identification as key factors associated with AOD-IET. Focusing on these could help programs develop interventions that facilitate AOD-IET for those less likely to receive care.
AB - Background: Only 10% of patients with alcohol and other drug (AOD) disorders receive treatment. The AOD Initiation and Engagement in Treatment (AOD-IET) measure was added to the national Healthcare Effectiveness Data and Information Set (HEDIS) to improve access to care. This study identifies factors related to improving AOD-IET rates. Methods: We include data from 7 health systems with differing geographic, patient demographic, and organizational characteristics; all used a common Virtual Data Warehouse containing electronic health records and insurance claims data. Multilevel logistic regression models examined AOD-IET among adults (18+). Results: A total of 86,565 patients had an AOD diagnosis qualifying for the HEDIS denominator. Initiation rates varied from 26% to 46%; engagement rates varied from 14% to 29%. Women versus men (odds ratio [OR] = 0.81, 95% confidence interval [CI] = 0.76–0.86); Hispanics (OR = 0.85, 95% CI = 0.79–0.91), black/African Americans (OR = 0.82, 95% CI = 0.75–0.90), and Asian Americans (OR = 0.83, 95% CI = 0.72–0.95) versus whites; and patients aged 65+ versus 18–29 (OR = 0.82, 95% CI = 0.74–0.90) had lower odds of initiation. Patients aged 30–49 versus 18–29 (OR = 1.11, 95% CI = 1.04–1.19) and those with prior psychiatric (OR = 1.26, 95% CI = 1.18–1.35) and medical (OR = 1.18, 95% CI = 1.10–1.26) conditions had higher odds of engagement. Identification in primary care versus other departments was related to lower odds of initiation (emergency department [ED]: OR = 1.55, 95% CI = 1.45–1.66; psychiatry/AOD treatment: OR = 3.58, 95% CI = 3.33–3.84; other outpatient: OR = 1.19, 95% CI = 1.06–1.32). Patients aged 30–49 versus 18–29 had higher odds of engagement (OR = 1.26, 95% CI = 1.10–1.43). Patients aged 65+ versus 18–29 (OR = 0.51, 95% CI = 0.43–0.62) and black/African Americans versus whites (OR = 0.64, 95% CI = 0.53–0.77) had lower odds. Those initiating treatment in psychiatry/AOD treatment versus primary care (OR = 7.02, 95% CI = 5.93–8.31) had higher odds of engagement; those in inpatient (OR = 0.40, 95% CI = 0.32–0.50) or other outpatient (OR = 0.73, 95% CI = 0.59–0.91) settings had lower odds. Discussion: Rates of initiation and engagement varied but were low. Findings identified age, race/ethnicity, co-occurring conditions, and department of identification as key factors associated with AOD-IET. Focusing on these could help programs develop interventions that facilitate AOD-IET for those less likely to receive care.
KW - Alcohol and drug
KW - performance measures
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U2 - 10.1080/08897077.2018.1545728
DO - 10.1080/08897077.2018.1545728
M3 - Article
C2 - 30676915
AN - SCOPUS:85060719618
VL - 40
SP - 318
EP - 327
JO - Substance Abuse
JF - Substance Abuse
SN - 0889-7077
IS - 3
ER -