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Collaborative care models for management of mental and
behavioral health concerns in Federally Qualified Health Centers
1Bethany M. Kwan, 1Benjamin F. Miller, 1,2Marion R. Sills, 1Mika K. Hamer, 1Lisa M. Schilling, & the SAFTINet Consortium 1University of Colorado School of Medicine, 2Children’s Hospital Colorado
Background & Objectives
Collaborative care (also known as integrated behavioral health in primary care) is a model of
care in which primary care medical clinicians and mental and behavioral health clinicians (e.g.,
psychiatrists, psychologists, social workers) work together with patients to identify and treat
mental and behavioral health concerns, from a “whole person” perspective.
Although models vary, basic elements of Collaborative Care (CC) include: (Peek, 2011) • A collaborative team comprised of mental/behavioral health and medical clinicians
• Protocols for identifying, triaging, treating, and tracking mental health concerns from within primary care
• Supporting information technology infrastructure
Dimensions on which CC models may vary: (Miller, Mendenhall, & Malik, 2009)
• Type of collaboration between medical and behavioral health clinicians
• Type of spatial arrangement in which behavioral health clinicians interact with patients and
medical clinicians
• The range of behavioral health concerns addressed in primary care settings
Collaborative care is an effective model for improving access to behavioral health services and
health outcomes, especially in the context of depression and anxiety (Butler et al., 2008).
There is a range of mental & behavioral health (MBH) concerns for which behavioral health
providers (BHPs) can be useful in primary care, such as counseling for health behavior change
and psychosocial issues (Miller et al., under review). There is limited evidence on translation
and implementation of CC models in the real world, especially in low-resource settings (Kwan &
Nease, 2013).
Research Objective:
• To explore the variety of CC models used by Federally Qualified Health Centers (FQHCs) to
provide services for a range of mental and behavioral health (MBH) concerns of primary care
patients.
Research Questions:
1. What CC models do FQHCs use (type of collaboration and spatial arrangement: referral-
based, co-location, full integration) and for which MBH concerns (range of functions and
expertise: health behavior change, psychosocial concerns, mental health, serious mental
illness)?
2. How many and what types of MBH providers work in FQHCs? How many full time equivalents
(FTEs) are employed given practice size?
3. In what practice settings and patient populations are various CC models used?
Methods
Setting: SAFTINet (Scalable Architecture for
Federated Translational Inquiries Network)
• Practice-based research network (PBRN) of
Federally Qualified Health Centers (FQHCs)
and FQHC look-alikes
• 100 member practices in Colorado,
Tennessee, Vermont, and California
• Founded in 2010, in part based on a
collective interest in understanding the
impact of models of care such as the Patient
Centered Medical Home (PCMH) and
Collaborative Care
• Using practice-level surveys, we characterized member practices’ existing models of collaborative care in
terms of staffing, service delivery mechanisms, and the range of mental and behavioral health concerns
systematically addressed within the practice
Measures: Representatives from 47 member FQHCs and FQHC look-alikes from 4 health care organizations in
Colorado and Tennessee completed practice-level surveys in summer 2013
Practice Characteristics
• Designation as FQHC
• Specialties (Adult internal medicine, family medicine, pediatrics, geriatrics)
• Total # of unique patients and patient encounters/year
• Demographics of patient population (ages, gender, race/ethnicity, preferred language, and payer mix)
• Staffing: # and full-time equivalents (FTE) of MBH providers
• LCSW/MSW: master’s level mental health clinicians
• PsyD/PhD or doctoral candidates
• PCMH recognition status (currently recognized, pursuing recognition, not pursuing recognition)
• Participation in reimbursement programs (e.g., Bundled payments, pay for performance)
Results
Distribution of CC models within practices
Mechanism(s) by which any MBH concern is addressed within primary care:
Distribution of CC models by MBH concern
For each MBH concern, to what extent do practices offer services using a systematic
mechanism, and with what CC model(s)?
CC models by practice characteristics
• Practices with family medicine providers were more likely to have full integration (26/34)
than practices without family medicine (7/13), although the difference was not statistically
significant (OR = 2.79, p = .14), likely due to small sample sizes.
• Practices with full integration care for more unique pts than practices without full
integration (M = 6168 vs 3744; p = .08)
Staffing of CC models in FQHCs
• On average, practices with on-site providers employed 1.35 FTEs (SD = 2.1, median = 0.50;
range 0-8.5) of a master’s level provider (LCSW/MSW) and 1.25 FTEs (SD = 2.6, median =
0.50, range 0-14.7) of a doctoral level psychologist (PsyD/PhD) per 5000 unique patients.
• Those with fully integrated models reported a median of 0.58 FTEs for LCSW/MSW and 0.52
FTEs for PsyD/Phd, compared to .16 and .25, respectively, for those without full integration.
Conclusions • A significant proportion of SAFTINet practices are engaged in integrated care
• It is feasible for FQHCs to provide on-site MBH services for a range of mental and behavioral
health concerns. These models are staffed by both masters and doctoral level MBH providers.
• There remains variability in how practices address mental health
• Multiple CC models can be used within a practice across the range of MBH concerns
• There appear to be opportunities to better measure and test the effects of integration
through networks like SAFTINet.
Policy Implications • While SAFTINet practices may not be typical of FQHCs in the U.S., it appears collaborative care is gaining
ground as a valued model for addressing behavioral concerns in primary care.
• Meeting the needs of front line primary care practices will require a better understanding of the workforce
skills and training required (Blount & Miller, 2009; Burke et al., 2013) and the best ways to allocate resources
and pay for these services (Kathol, DeGruy, & Rollman, 2014).
• In order to make a stronger policy case for integration, we must have more consistency in how we define,
evaluate, and advocate for CC models
Future Plans SAFTINet partners plan to conduct comparative effectiveness research on the effects of collaborative care
models on health outcomes for patients with multiple chronic conditions. We also plan to investigate the role of
payment models and reimbursement structures on implementation and sustainability of CC models. Ultimately,
we will disseminate our findings and “best practices” to support more widespread implementation of the model.
Health behavior
change
Psychosocial Mental health Serious mental
illness or
substance abuse
Any MBH
concern
Referral 6 (12.8%) 6 (12.8%) 7 (14.9%) 19 (40.4%) 19 (40.4%)
Co-location 12 (25.5%) 15 (31.9%) 17 (36.2%) 14 (29.8%) 17 (36.2%)
Full integration 33 (70.2%) 33 (70.2%) 33 (70.2%) 26 (55.3%) 33 (70.2%)
No systematic
mechanism
1 (2.1%) 1 (2.1%) 1 (2.1%) 3 (6.4%) 3 (6.4%)
Table 1. #/% Practices using various CC models to address range of MBH concerns
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
ORG
1_1
ORG
3_9
ORG
3_7
ORG
2_11
ORG
2_12
ORG
2_17
ORG
2_20
ORG
2_4
ORG
2_6
ORG
2_9
ORG
3_1
ORG
3_2
ORG
3_4
ORG
3_6
ORG
1_10
ORG
1_9
ORG
2_13
ORG
2_18
ORG
1_2
ORG
1_4
ORG
1_5
ORG
1_6
ORG
1_8
ORG
2_1
ORG
2_10
ORG
2_16
ORG
2_5
ORG
2_7
ORG
3_5
ORG
3_1.1
ORG
3_3
ORG
1_11
ORG
1_7
ORG
3_8
ORG
3_9.1
ORG
4_1
ORG
4_2
ORG
4_4
ORG
4_5
ORG
4_6
ORG
4_7
ORG
4_8
ORG
4_9
ORG
2_2
ORG
2_3
ORG
3_10
ORG
4_3
Mix
of
CC
models
wit
hin
pra
cti
ce
none
full
colocate
refer
• Most practices reported some form of collaborative care for
providing care to patients across the full range of MBH concerns.
• 70% of practices (33/47) reported the use of a fully integrated
model (on-site BHPs with shared clinic space with medical
providers) to address health behavior, psychosocial, and/or
mental health concerns.
• 55% (26/47) reported using a fully integrated model for SMI/SA,
while 40% (19/47) reported referral to off-site providers for
SMI/SA.
% of practices offering services for
HEALTH BEHAVIOR
Referral
Co-Location
Full Integration
R+C
R+F
C+F
R+C+F
No system
% of practices offering services for
PSYCHOSOCIAL CONCERNS
Referral
Co-Location
Full Integration
R+C
R+F
C+F
R+C+F
No system
% of practices offering services for
MENTAL HEALTH
Referral
Co-Location
Full Integration
R+C
R+F
C+F
R+C+F
No system
% of practices offering services for
SMI/SA
Referral
Co-Location
Full Integration
R+C
R+F
C+F
R+C+F
No system
Measures continued… Mental & Behavioral Health (MBH) Services • By what mechanisms (if any) do this practice’s patients receive MBH services?
• Referral-based model: Referral to off-site MBH providers
• Co-location model: Co-located MBH providers, who spend some but not all their time in the same clinic
space as medical providers
• Full integration model: On-site behavioral health providers, who share clinic space with medical
providers
• No CC model: No systematic mechanism for delivering MBH services
• For each existing mechanism, for which types of MBH concerns are those services available?
• Health behavior change counseling (e.g., diet, exercise, smoking cessation)
• Counseling for psychosocial/social determinants of health issues (e.g., domestic violence, social
support)
• Diagnosis and/or treatment of mental health conditions (e.g., depression, anxiety)
• Diagnosis and/or treatment of serious mental illness or substance abuse (SMI/SA)
• Note: Practices could report more than one mechanism overall and for each type of MBH concern
• Information exchanged periodically with minimally shared care plans or workflows
Referral-triggered periodic exchange
• Regular communication and coordination, usually via separate systems and workflows, but with care plans coordinated to a significant extent
Regular communication/coordination
• Fully shared treatment plans and documentation, regular communication facilitated and/or clinical workflows that ensure effective communication and coordination
Full collaboration/integration
Separa
te
space
Behavioral health and medical clinicians spend little time with each other practicing in same clinic space.
Patient has to see providers in at least two buildings. C
o-l
ocate
d
space
Behavioral health and medical clinicians in different parts of the same building, spending some but not all their time in same medical clinic space.
Patient typically has to move from primary care to behavioral health. space
Fully s
hare
d
space
Behavioral health and medical clinicians share the same provider rooms, spending all or most of their time seeing patients in that shared space.
Typically, both clinicians see the patient in same exam room.
• Identifying and treating health behavior needs
• Health behavior activation & self-management support
• E.g., Diet, physical activity, smoking cessation
Basic health behavior
• Identifying social barriers for patients in receiving their health care
• Connecting patients with community resources
• Providing social and community support for patients
Psychosocial concerns
• Screening, assessment, and management of acute mental health problems, with triage, referral and consultation when necessary
• Appropriate psychological and pharmaceutical interventions
• E.g., Depression, anxiety
Mental health
• Screening, assessment, and management of acute SMI/SA problem, with triage, referral and consultation when necessary
• Appropriate psychological and pharmaceutical interventions
Serious mental illness & substance abuse (SMI/SA)
*CC models and MBH concern categories are not mutually exclusive
Acknowledgments We would like to thank the entire SAFTINet Consortium for their contributions to this work. We would especially like to
acknowledge the important contributions of current and past leadership at network partner sites, including Parinda Khatri, Jena Saporito,
Andrea Auxier, Arthur Davidson, Jeanne Rozwadowski, Maria DeJesus Diaz-Perez, and Alicyn Kaiser.
Funding provided by AHRQ 1R01HS019908 (Scalable Architecture for Federated Translational Inquiries Network) and AHRQ R01HS022956
(SAFTINet: Optimizing Value and Achieving Sustainability)
References available upon request