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Research ArticleOriginal Research

REACH of Interventions Integrating Primary Care and Behavioral Health

Bijal A. Balasubramanian, Douglas Fernald, L. Miriam Dickinson, Melinda Davis, Rose Gunn, Benjamin F. Crabtree, Benjamin F. Miller and Deborah J. Cohen
The Journal of the American Board of Family Medicine September 2015, 28 (Supplement 1) S73-S85; DOI: https://doi.org/10.3122/jabfm.2015.S1.150055
Bijal A. Balasubramanian
From the Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health, Dallas Regional Campus, Dallas (BAB); Department of Family Medicine, University of Colorado School of Medicine, Aurora (DF, LMD, BFM); Department of Family Medicine, Oregon Health & Science University (RG) and Oregon Rural Practice-Cased Research Network, Portland (MD); Department of Family Medicine and Community Health, Rutgers–Robert Wood Johnson Medical School, Somerset, NJ and Department of Epidemiology, Rutgers School of Public Health, Piscataway, NJ (BFC); Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (DJC).
MBBS, PhD
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Douglas Fernald
From the Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health, Dallas Regional Campus, Dallas (BAB); Department of Family Medicine, University of Colorado School of Medicine, Aurora (DF, LMD, BFM); Department of Family Medicine, Oregon Health & Science University (RG) and Oregon Rural Practice-Cased Research Network, Portland (MD); Department of Family Medicine and Community Health, Rutgers–Robert Wood Johnson Medical School, Somerset, NJ and Department of Epidemiology, Rutgers School of Public Health, Piscataway, NJ (BFC); Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (DJC).
MA
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L. Miriam Dickinson
From the Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health, Dallas Regional Campus, Dallas (BAB); Department of Family Medicine, University of Colorado School of Medicine, Aurora (DF, LMD, BFM); Department of Family Medicine, Oregon Health & Science University (RG) and Oregon Rural Practice-Cased Research Network, Portland (MD); Department of Family Medicine and Community Health, Rutgers–Robert Wood Johnson Medical School, Somerset, NJ and Department of Epidemiology, Rutgers School of Public Health, Piscataway, NJ (BFC); Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (DJC).
PhD
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Melinda Davis
From the Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health, Dallas Regional Campus, Dallas (BAB); Department of Family Medicine, University of Colorado School of Medicine, Aurora (DF, LMD, BFM); Department of Family Medicine, Oregon Health & Science University (RG) and Oregon Rural Practice-Cased Research Network, Portland (MD); Department of Family Medicine and Community Health, Rutgers–Robert Wood Johnson Medical School, Somerset, NJ and Department of Epidemiology, Rutgers School of Public Health, Piscataway, NJ (BFC); Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (DJC).
PhD
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Rose Gunn
From the Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health, Dallas Regional Campus, Dallas (BAB); Department of Family Medicine, University of Colorado School of Medicine, Aurora (DF, LMD, BFM); Department of Family Medicine, Oregon Health & Science University (RG) and Oregon Rural Practice-Cased Research Network, Portland (MD); Department of Family Medicine and Community Health, Rutgers–Robert Wood Johnson Medical School, Somerset, NJ and Department of Epidemiology, Rutgers School of Public Health, Piscataway, NJ (BFC); Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (DJC).
MA
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Benjamin F. Crabtree
From the Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health, Dallas Regional Campus, Dallas (BAB); Department of Family Medicine, University of Colorado School of Medicine, Aurora (DF, LMD, BFM); Department of Family Medicine, Oregon Health & Science University (RG) and Oregon Rural Practice-Cased Research Network, Portland (MD); Department of Family Medicine and Community Health, Rutgers–Robert Wood Johnson Medical School, Somerset, NJ and Department of Epidemiology, Rutgers School of Public Health, Piscataway, NJ (BFC); Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (DJC).
PhD
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Benjamin F. Miller
From the Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health, Dallas Regional Campus, Dallas (BAB); Department of Family Medicine, University of Colorado School of Medicine, Aurora (DF, LMD, BFM); Department of Family Medicine, Oregon Health & Science University (RG) and Oregon Rural Practice-Cased Research Network, Portland (MD); Department of Family Medicine and Community Health, Rutgers–Robert Wood Johnson Medical School, Somerset, NJ and Department of Epidemiology, Rutgers School of Public Health, Piscataway, NJ (BFC); Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (DJC).
PsyD
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Deborah J. Cohen
From the Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health, Dallas Regional Campus, Dallas (BAB); Department of Family Medicine, University of Colorado School of Medicine, Aurora (DF, LMD, BFM); Department of Family Medicine, Oregon Health & Science University (RG) and Oregon Rural Practice-Cased Research Network, Portland (MD); Department of Family Medicine and Community Health, Rutgers–Robert Wood Johnson Medical School, Somerset, NJ and Department of Epidemiology, Rutgers School of Public Health, Piscataway, NJ (BFC); Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (DJC).
PhD
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Article Figures & Data

Figures

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    Appendix Figure 1.

    Example of an intervention process diagram. Adapted from an open access article published by Balasubramanian et al. in Implementation Science http://www.implementationscience.com/content/10/1/31. ACT, Advancing Care Together; BHC, behavioral health clinician.

  • Appendix Figure 2.
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    Appendix Figure 2.
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    Appendix Figure 2.

    Advancing Care Together (ACT) REACH reporter.

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    Appendix Figure 3.

    Example of a patient tracking sheet.

Tables

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    Table 1. ACT Practice Characteristics
    Site IDTypeOwnershipProvider FTEsPatient Sex, %Patient Ethnicity/Race, %Insurance Type, %
    Primary careBehavioral healthWomenLatinoBlackWhiteMedicareMedicaidUninsuredPrivate
    14Multi-specialty groupHospital system, HMO, and not for profit18.70.65871255320.4067
    13Multi-specialty groupClinician13.61.05970.685158669
    4Community health centerPrivate not for profit11261611345363715
    16Single specialty groupHospital system91.462223720967193
    12Multi-specialty groupHospital system3.150.9672110585710153
    7Multi-specialty groupClinician100.54360.04941120762
    10Single specialty groupClinician4.80.55611756100585
    9SoloClinician20.55540060656920
    17Single specialty groupFederally qualified health center6253340.96312203629
    18aSingle specialty groupNot for profit0.422.864172761236436
    19aSoloNot for profit2.27.961110.28223371913
    • ↵a Mental health clinics.

    • View popup
    Table 2. Integration Strategy Implemented by ACT practices
    Site IDIntegration StrategyTarget PopulationMethod of AssessmentAssessment Measures Used
    4This practice embedded psychology doctoral trainees in prenatal clinicPregnant patients seen at clinicIn waiting room by BHCsCompletion of PHQ9, GAD7, AUDIT, HbA1c
    7This primary care practice automated screening for behavioral health needs using a tablet. A psychologist with a private, colocated practice became an employee who provided traditional mental health services in the practice.Patients ≥18 y seen at clinicIn waiting room using tablet devicesCompletion of PHQ2 followed by PHQ9, if PHQ2 positive
    10This private primary care practice partnered with a CMHC to hire a BHC. The practice also expanded health coaching services.Patients ≥18 y seen at clinicIn waiting room using paper-based survey, then transition to tablet devicesCompletion of PHQ9, GAD7, AUDIT
    9A small primary care practice added a traditional mental health therapist from a private mental health agency to provide colocated care and brief interventions.Patients ≥18 y seen at clinicIn waiting room using paper-based survey, then transition to tablet devicesCompletion of PHQ9, GAD7, AUDIT, and to assess tobacco use.
    17An FQHC with a colocated mental health therapist added a colocated substance use counselor from a collaborating CMHC.Patients ≥18 y seen at clinicIn waiting or exam room by medical assistantsCompletion of PHQ9 and SBIRT
    19This practice screened patients using a tablet device that was programmed to directly transfer entered data to an EHR-linked interface accessible to providers. Further, a PC clinician/MA team, and a BHC were embedded in the practice to provide primary care and BH services.Patients ≥18 y seen at clinicIn waiting room using handheld tablet devicesCompletion of PHQ9, GAD7, AUDIT, BMI, HbA1c
    16This primary care practice expanded their existing integrated care model by working with a research team to develop and implement a screening form for patients to self identify behavioral health needs.English and Spanish-speaking patients ≥18 y seen at clinicIn waiting room using paper-based surveyCompletion of a newly developed “Improve your Health” survey
    12A postdoctoral training program provides colocated mental health services in an FQHC serving seniors. A computerized cognitive and psychological screening program was developed and implemented.Patients ≥50 y seen for an annual wellness or medically necessary visitClinical discretion by primary care providersCompletion of a newly developed cognitive screening tool called CaPS
    13This private primary care practice expanded their partnership with a private mental health agency to provide integrated care. First, an urgent consult schedule was created for BHC services. Over time, services expanded to enable full-time BHC coverage within the practice setting.Patients ≥18 y seen at clinic for an annual, diabetes, or hypertensive examaClinical discretion by primary care providers, then transitioned to systematic in waiting room using paper-based surveyCompletion of PHQ2
    14A BHC was embedded in a primary care setting with multiple clinics (e.g., family medicine, pediatrics). BHC provides brief counseling and helps connect patients to specialty MH services within the large, integrated health system or to external resources.Patients ≥18 y seen at clinicClinical discretion by primary care providersReferral to a behavioral health counselor
    18A primary care team (including PA, MA, care coordinator, and substance use counselor) were embedded in a CMHC.Clients without primary care physician on recordClinical discretion by mental health providersReferral to the primary care team
    • Abbreviations: BH, behavioral health; BHC, behavioral health clinician; CaPS, Cognitive and Psychological Screen; CMHC, community mental health center; FQHC, federally qualified health center; PC, primary care; AUDIT, Alcohol Use Disorders Identification Test; PHQ, patient health questionnaire; GAD, generalized anxiety disorder; HbA1c, glycosylated hemoglobin; BMI, body mass index; SBIRT, screening, brief intervention, and referral to treatment; PA, physician assistant; MA, medical assistant.

    • PHQ2 was used to screen for depression; PHQ9 was used to screen or monitor for depression; GAD7 was used to screen or monitor for anxiety disorder; AUDIT was used to screen or monitor for alcohol use; DAST was used to screen or monitor for substance use; BMI was used to screen or monitor for obesity; and HbA1c was measured to monitor for diabetes.

    • ↵a Target population changed midstream.

    • View popup
    Table 3. REACH of Interventions Over a 3-Month Period Among ACT Practices
    Site IDMeasure of ReachNo. Target PatientsNo. Patients AssessedScreening REACHa (%)
    4Completion of PHQ9, GAD7, and AUDIT655178.5
    7Completion of PHQ9, GAD7, AUDIT, and to assess tobacco use187628715.3
    10Completion of PHQ9, GAD7, AUDIT, and HbA1c1868160986.0
    9Completion of PHQ2 followed by PHQ9 if PHQ2 is positive54649891.0
    17Completion of PHQ9 and SBIRT2519149159.2
    19Completion of PHQ9, GAD7, AUDIT, BMI, and HbA1c44039690.0
    16Completion of a newly developed “Improve your Health” survey88718220.5
    12Completion of a newly developed cognitive screening tool called CaPS942343.6
    13Referral to behavioral health provider170020612.1
    14Referral to a behavioral health counselor14,8791691.1
    18Referral to the primary care team773172.2
    Total24,906652926.2
    • CaPS, Cognitive and Psychological Screen; AUDIT, Alcohol Use Disorders Identification Test; PHQ, patient health questionnaire; GAD, generalized anxiety disorder; BMI, body mass index; SBIRT, screening, brief intervention, and referral to treatment.

    • ↵a Screening REACH is defined as percentage of target patients who were assessed for integrated care.

    • View popup
    Table 4. Receipt of Integrated Services for Patients Assessed Over a 3-Month Period Among ACT practices
    Site IDMethod of Identifying PatientsMethod to Track PatientsNo. Patients Screened Positive or Meeting Specific CriteriaNo. Patients Received ServicesIntegrated Care Services REACHa (%)
    4SystematicManual232191.3
    7SystematicEHR696289.9
    10SystematicCreated new EHR template68917625.5
    9SystematicManual261Data not available—
    17SystematicManual2894415.2
    19SystematicCreated new EHR template26712647.2
    16Clinical discretionManual18014882.2
    12Clinical discretionManual333297.0
    13Clinical discretionManual4141100.0
    14Clinical discretionEHR169169100.0
    18Clinical discretionManual1717100.0
    Total203883641.0
    • ACT, Advancing Care Together; EHR, electronic health record.

    • ↵a Integrated care services REACH defined as percentage patients who received integrated services out of those screened positive or meeting specific criteria.

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The Journal of the American Board of Family     Medicine: 28 (Supplement 1)
The Journal of the American Board of Family Medicine
Vol. 28, Issue Supplement 1
September-October 2015
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REACH of Interventions Integrating Primary Care and Behavioral Health
Bijal A. Balasubramanian, Douglas Fernald, L. Miriam Dickinson, Melinda Davis, Rose Gunn, Benjamin F. Crabtree, Benjamin F. Miller, Deborah J. Cohen
The Journal of the American Board of Family Medicine Sep 2015, 28 (Supplement 1) S73-S85; DOI: 10.3122/jabfm.2015.S1.150055

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REACH of Interventions Integrating Primary Care and Behavioral Health
Bijal A. Balasubramanian, Douglas Fernald, L. Miriam Dickinson, Melinda Davis, Rose Gunn, Benjamin F. Crabtree, Benjamin F. Miller, Deborah J. Cohen
The Journal of the American Board of Family Medicine Sep 2015, 28 (Supplement 1) S73-S85; DOI: 10.3122/jabfm.2015.S1.150055
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