» Articles » PMID: 28447101

Development and Use of a Clinical Decision Support Tool for Behavioral Health Screening in Primary Care Clinics

Overview
Publisher Thieme
Date 2017 Apr 28
PMID 28447101
Citations 11
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: Screening, brief intervention, and referral for treatment (SBIRT) for behavioral health (BH) is a key clinical process. SBIRT tools in electronic health records (EHR) are infrequent and rarely studied. Our goals were 1) to design and implement SBIRT using clinical decision support (CDS) in a commercial EHR; and 2) to conduct a pragmatic evaluation of the impact of the tools on clinical outcomes.

Methods: A multidisciplinary team designed SBIRT workflows and CDS tools. We analyzed the outcomes using a retrospective descriptive convenience cohort with age-matched comparison group. Data extracted from the EHR were evaluated using descriptive statistics.

Results: There were 2 outcomes studied: 1) development and use of new BH screening tools and workflows; and 2) the results of use of those tools by a convenience sample of 866 encounters. The EHR tools developed included a flowsheet for documenting screens for 3 domains (depression, alcohol use, and prescription misuse); and 5 alerts with clinical recommendations based on screening; and reminders for annual screening. Positive screen rate was 21% (≥1 domain) with 60% of those positive for depression. Screening was rarely positive in 2 domains (11%), and never positive in 3 domains. Positive and negative screens led to higher rates of documentation of brief intervention (BI) compared with a matched sample who did not receive screening, including changes in psychotropic medications, updated BH terms on the problem list, or referral for BH intervention. Clinical process outcomes changed even when screening was negative.

Conclusions: Modified workflows for BH screening and CDS tools with clinical recommendations can be deployed in the EHR. Using SBIRT tools changed clinical process metrics even when screening was negative, perhaps due to conversations about BH not captured in the screening flowsheet. Although there are limitations to the study, results support ongoing investigation.

Citing Articles

Enhancing Referrals to the Supplemental Nutrition Assistance Program through Clinical Integration of a Standards-Based Decision Support System.

Oliveira E, Hautala M, Henry J, Lakshminarayanan V, Abrol V, Granado L Appl Clin Inform. 2024; 16(1):167-176.

PMID: 39406373 PMC: 11839245. DOI: 10.1055/a-2441-5941.


Leveraging the Electronic Health Record to Implement Emergency Department Delirium Screening.

Chary A, Brickhouse E, Torres B, Santangelo I, Carpenter C, Liu S Appl Clin Inform. 2023; 14(3):478-486.

PMID: 37054983 PMC: 10284630. DOI: 10.1055/a-2073-3736.


Payment and Financing for Substance Use Screening and Brief Intervention for Adolescents and Adults in Health, School, and Community Settings.

Reif S, Brolin M, Beyene T, DAgostino N, Stewart M, Horgan C J Adolesc Health. 2022; 71(4S):S73-S82.

PMID: 36122974 PMC: 9945348. DOI: 10.1016/j.jadohealth.2022.04.012.


Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review.

Willis V, Craig K, Jabbarpour Y, Scheufele E, Arriaga Y, Ajinkya M JMIR Med Inform. 2022; 10(1):e33518.

PMID: 35060909 PMC: 8817213. DOI: 10.2196/33518.


Elements of Integrated Behavioral Health Associated with Primary Care Provider Confidence in Managing Depression at Community Health Centers.

Staab E, Wan W, Campbell A, Gedeon S, Schaefer C, Quinn M J Gen Intern Med. 2022; 37(12):2931-2940.

PMID: 34981360 PMC: 9485335. DOI: 10.1007/s11606-021-07294-3.


References
1.
Auxier A, Runyan C, Mullin D, Mendenhall T, Young J, Kessler R . Behavioral health referrals and treatment initiation rates in integrated primary care: a Collaborative Care Research Network study. Transl Behav Med. 2013; 2(3):337-44. PMC: 3717910. DOI: 10.1007/s13142-012-0141-8. View

2.
Kenealy T, Arroll B, Petrie K . Patients and computers as reminders to screen for diabetes in family practice. Randomized-controlled trial. J Gen Intern Med. 2005; 20(10):916-21. PMC: 1490216. DOI: 10.1111/j.1525-1497.2005.0197.x. View

3.
Ash J, Sittig D, Guappone K, Dykstra R, Richardson J, Wright A . Recommended practices for computerized clinical decision support and knowledge management in community settings: a qualitative study. BMC Med Inform Decis Mak. 2012; 12:6. PMC: 3334687. DOI: 10.1186/1472-6947-12-6. View

4.
Gomez A, Conde A, Santana J, Jorrin A . Diagnostic usefulness of brief versions of Alcohol Use Disorders Identification Test (AUDIT) for detecting hazardous drinkers in primary care settings. J Stud Alcohol. 2005; 66(2):305-8. DOI: 10.15288/jsa.2005.66.305. View

5.
Wright A, Sittig D, Ash J, Sharma S, Pang J, Middleton B . Clinical decision support capabilities of commercially-available clinical information systems. J Am Med Inform Assoc. 2009; 16(5):637-44. PMC: 2744714. DOI: 10.1197/jamia.M3111. View