Initiation of Primary Care-Mental Health Integration programs in the VA Health System: associations with psychiatric diagnoses in primary care

Barriers and Facilitators to Mental Health Service Integration: A Scoping Review

Mental health service integration currently has no consensus definition and exists in a variety of settings, including primary care, addiction treatment and chronic disease management, and mental health nurses have often experienced efforts at service integration with varying degrees of success. The intent of mental health service integration is to enable collaboration between mental health services and other healthcare providers to improve service access and the care provided to individuals with mental health issues or mental illness. This scoping review aimed to explore service integration between mental health services and with a specific focus on those evaluated in peer-reviewed, primary literature, to determine facilitators and barriers to service integration. Using the Arksey and O'Malley's framework for scoping reviews, we located 3148 studies, with screening narrowing final papers for inclusion to 18. Facilitators to service integration included clinician education, adequate resourcing and an interdisciplinary approach, while barriers included staff factors such as a reluctance to work with individuals with mental illness, consumer level barriers such as poor mental health literacy, 'territorialism' among staff and organisational climate. Research indicates that service integration is an effective means to detect and treat mental health issues in settings that do not traditionally provide mental health care, lowering the costs of providing healthcare and providing improved care for mental health needs; however, there are several barriers to be addressed to achieve full implementation of integration models.

The design and implementation of a multi-center, pragmatic, individual-level randomized controlled trial to evaluate Baby2Home, an mHealth intervention to support new parents

BACKGROUND

Becoming a parent is a transformative experience requiring multiple transitions, including the need to navigate several components of health care, manage any mental health issues, and develop and sustain an approach to infant feeding. Baby2Home (B2H) is a digital intervention built on the collaborative care model (CCM) designed to support families during these transitions to parenthood.

OBJECTIVES

We aim to investigate the effects of B2H on preventive healthcare utilization for the family unit and patient-reported outcomes (PROs) trajectories with a focus on mental health. We also aim to evaluate heterogeneity in treatment effects across social determinants of health including self-reported race and ethnicity and household income. We hypothesize that B2H will lead to optimized healthcare utilization, improved PROs trajectories, and reduced racial, ethnic, and income-based disparities in these outcomes as compared to usual care.

METHODS

B2H is a multi-center, pragmatic, individual-level randomized controlled trial. We will enroll 640 families who will be randomized to: [1] B2H + usual care, or [2] usual care alone. Preventive healthcare utilization is self-reported and confirmed from medical records and includes attendance at the postpartum visit, contraception use, depression screening, vaccine uptake, well-baby visit attendance, and breastfeeding at 6 months. PROs trajectories will be analyzed after collection at 1 month, 2 months, 4 months, 6 months and 12 months. PROs include assessments of stress, depression, anxiety, self-efficacy and relationship health.

IMPLICATIONS

If B2H proves effective, it would provide a scalable digital intervention to improve care for families throughout the transition to new parenthood.

A Systematic Review of the Department of Veterans Affairs Mental Health-Care Access Interventions for Veterans With PTSD

INTRODUCTION

Access to mental health care has been a priority area for the U.S. Department of Veterans Affairs (DVA) for decades. Access for veterans with PTSD is essential because untreated PTSD is associated with numerous adverse outcomes. Although interventions have been developed to improve access to DVA mental health care, the impact of these interventions on access for veterans with untreated PTSD has not been examined comprehensively, limiting guidance on appropriate implementation.

MATERIALS AND METHODS

We conducted a systematic review of PubMed and PTSDpubs between May 2019 and January 2022 to identify DVA access interventions for veterans with PTSD not engaged in DVA mental health care. We identified 17 interventions and 29 manuscripts reporting quantitative access outcomes. We categorized interventions into four major categories: Primary care mental health integration, other national initiatives, telemental health, and direct outreach. We evaluated five outcome domains: Binary attendance, number of sessions attended, wait time, number of patients seen, and care initiation. We assessed the risk of bias using the Cochrane Collaboration criteria.

RESULTS

Across articles, binary attendance generally improved, whereas the impact on the number of sessions attended was equivocal. Overall, the number of patients seen increased compared to control participants and retrospective data. The few articles that examined care initiation had mixed results. Only one article examined the impact on wait time.

CONCLUSIONS

Access interventions for veterans with PTSD demonstrated varied success across interventions and outcomes. The national initiatives-particularly primary care mental health integration -were successful across several outcomes; telemental health demonstrated promise in improving access; and the success of direct outreach varied across interventions. Confidence in these findings is tempered by potential bias among studies. Limited literature on how these interventions impact relevant preattendance barriers, along with incomplete data on how many perform nationally, suggests that additional work is needed to ensure that these interventions increase access for veterans with PTSD nationwide.

Impact of Primary Care-Mental Health Care Integration on Mental Health Care Engagement Across Racial and Ethnic Groups

OBJECTIVE

Receiving mental health services as part of primary care in the Veterans Health Administration (VHA) might increase engagement in specialty mental health care. The authors reexamined the association between primary care-mental health integration (PCMHI) and continued engagement in specialty mental health care for VHA patients and assessed differences by race and ethnicity.

METHODS

The study included 437,051 primary care patients with a first in-person specialty mental health encounter in 2015-2016 (no specialty mental health encounters in prior 12 months), including 46,417 patients with new PCMHI encounters in the year before the first specialty mental health encounter. Multivariable logistic regression assessed odds of follow-up specialty mental health care within 3 months of the first specialty mental health encounter. The dependent variable was care engagement (attending a second specialty mental health appointment); independent variables were whether patients were seen by PCMHI on the same day as the primary care appointment ("same-day access"), the time between PCMHI and first specialty mental health appointments, and race and ethnicity.

RESULTS

PCMHI was associated with increased engagement in specialty mental health care for all patients, with a greater likelihood of engagement among non-Hispanic White patients. Same-day access to PCMHI was positively associated with care engagement, with no significant differences by race or ethnicity. PCMHI care within 3 months before a first specialty mental health encounter was associated with greater care engagement.

CONCLUSIONS

PCMHI, especially same-day access to PCMHI care, may boost engagement in mental health care, although the study design precluded conclusions regarding causal relationships.

Examining Homeless-Experienced Adults' Smoking Cessation Treatment Use Pre- and Post-Entry into Permanent Supportive Housing

Background

Homeless-experienced adults smoke at rates 5 times that of the general adult population, and often have limited access to cessation treatments while homeless. Permanent Supportive Housing (PSH) can be a catalyst for cessation treatment utilization, yet little is known about use of these treatments following PSH entry, or how to tailor and implement cessation care that meets homeless-experienced adults' vulnerabilities.

Methods

Using Department of Veterans Affairs (VA) administrative data, we assessed smoking status (ie, current, former, non/never) among a cohort of homeless-experienced Veterans (HEVs) housed in Los Angeles-based PSH. We compared cessation treatment use rates (ie, nicotine replacement therapies, cessation medications, psychosocial counseling) pre- and post-housing using Chi-square tests. Predisposing (ie, demographics), enabling (eg, primary care, benefits), and need characteristics (ie, health, mental health, substance use diagnoses) were examined as correlates of cessation treatment utilization pre- and post-housing in univariable and multivariable logistic regression models.

Results

Across HEVs (N = 2933), 48.6% were identified as currently-smoking, 17.7% as formerly-smoking, and 14.0% as non/never smoking. Among currently- and formerly-smoking HEVs (n = 1944), rates of cessation treatment use post-housing were significantly lower, compared to pre-housing, across all treatment types. Health, mental health, and substance use was more prevalent among currently- and formerly-smoking HEVs compared to non/never-smoking HEVs, and most diagnoses were positively associated with utilization univariably. However, in multivariable models, cessation clinic referrals and primary care engagement were the only significant (P < .001) predictors of pre-housing and post-housing cessation treatment utilization.

Conclusion

Among HEVs, we found high smoking rates and low cessation treatment utilization pre- and post-PSH entry. Efforts to educate providers about this population's desire to quit smoking, support primary care engagement, and increase cessation clinic referrals may bolster their utilization. For homeless-experienced adults, optimizing cessation treatment accessibility by embedding cessation services within PSH and homeless service settings may reduce utilization impediments.

Quality of Depression Care for Veterans Affairs Primary Care Patients with Experiences of Homelessness

BACKGROUND

Persons who experience homelessness (PEH) have high rates of depression and incur challenges accessing high-quality health care. Some Veterans Affairs (VA) facilities offer homeless-tailored primary care clinics, although such tailoring is not required, within or outside VA. Whether services tailoring enhances care for depression is unstudied.

OBJECTIVE

To determine whether PEH in homeless-tailored primary care settings receive higher quality of depression care, compared to PEH in usual VA primary care.

DESIGN

Retrospective cohort study of depression treatment among a regional cohort of VA primary care patients (2016-2019).

PARTICIPANTS

PEH diagnosed or treated for a depressive disorder.

MAIN MEASURES

The quality measures were timely follow-up care (3 + completed visits with a primary care or mental health specialist provider, or 3 + psychotherapy sessions) within 84 days of a positive PHQ-2 screen result, timely follow-up care within 180 days, and minimally appropriate treatment (4 + mental health visits, 3 + psychotherapy visits, 60 + days antidepressant) within 365 days. We applied multivariable mixed-effect logistic regressions to model differences in care quality for PEH in homeless-tailored versus usual primary care settings.

KEY RESULTS

Thirteen percent of PEH with depressive disorders received homeless-tailored primary care (n = 374), compared to usual VA primary care (n = 2469). Tailored clinics served more PEH who were Black, who were non-married, and who had low income, serious mental illness, and substance use disorders. Among all PEH, 48% received timely follow-up care within 84 days of depression screening, 67% within 180 days, and 83% received minimally appropriate treatment. Quality metric attainment was higher for PEH in homeless-tailored clinics, compared to PEH in usual VA primary care: follow-up within 84 days (63% versus 46%; adjusted odds ratio [AOR] = 1.61, p = .001), follow-up within 180 days (78% versus 66%; AOR = 1.51, p = .003), and minimally appropriate treatment (89% versus 82%; AOR = 1.58, p = .004).

CONCLUSIONS

Homeless-tailored primary care approaches may improve depression care for PEH.

Integrating Alcohol-Related Prevention and Treatment Into Primary Care: A Cluster Randomized Implementation Trial

Importance

Unhealthy alcohol use is common and affects morbidity and mortality but is often neglected in medical settings, despite guidelines for both prevention and treatment.

Objective

To test an implementation intervention to increase (1) population-based alcohol-related prevention with brief interventions and (2) treatment of alcohol use disorder (AUD) in primary care implemented with a broader program of behavioral health integration.

Design, Setting, and Participants

The Sustained Patient-Centered Alcohol-Related Care (SPARC) trial was a stepped-wedge cluster randomized implementation trial, including 22 primary care practices in an integrated health system in Washington state. Participants consisted of all adult patients (aged ≥18 years) with primary care visits from January 2015 to July 2018. Data were analyzed from August 2018 to March 2021.

Interventions

The implementation intervention included 3 strategies: practice facilitation; electronic health record decision support; and performance feedback. Practices were randomly assigned launch dates, which placed them in 1 of 7 waves and defined the start of the practice's intervention period.

Main Outcomes and Measures

Coprimary outcomes for prevention and AUD treatment were (1) the proportion of patients who had unhealthy alcohol use and brief intervention documented in the electronic health record (brief intervention) for prevention and (2) the proportion of patients who had newly diagnosed AUD and engaged in AUD treatment (AUD treatment engagement). Analyses compared monthly rates of primary and intermediate outcomes (eg, screening, diagnosis, treatment initiation) among all patients who visited primary care during usual care and intervention periods using mixed-effects regression.

Results

A total of 333 596 patients visited primary care (mean [SD] age, 48 [18] years; 193 583 [58%] female; 234 764 [70%] White individuals). The proportion with brief intervention was higher during SPARC intervention than usual care periods (57 vs 11 per 10 000 patients per month; P < .001). The proportion with AUD treatment engagement did not differ during intervention and usual care (1.4 vs 1.8 per 10 000 patients; P = .30). The intervention increased intermediate outcomes: screening (83.2% vs 20.8%; P < .001), new AUD diagnosis (33.8 vs 28.8 per 10 000; P = .003), and treatment initiation (7.8 vs 6.2 per 10 000; P = .04).

Conclusions and Relevance

In this stepped-wedge cluster randomized implementation trial, the SPARC intervention resulted in modest increases in prevention (brief intervention) but not AUD treatment engagement in primary care, despite important increases in screening, new diagnoses, and treatment initiation.

Trial Registration

ClinicalTrials.gov Identifier: NCT02675777.

A Multi-site Case Study of Care Coordination Between Primary Care and Specialty Care

BACKGROUND

Care coordination is critical for patients with multiple chronic conditions, but fragmentation of care persists. Providers' perspectives of facilitators and barriers to coordination are needed to improve care.

OBJECTIVES

We sought to understand providers' perspectives on care coordination for patients having multiple chronic diseases served by multiple providers.

RESEARCH DESIGN

Based upon our earlier survey of patients with multiple chronic conditions, we selected 8 medical centers having high and low coordination. We interviewed providers to identify facilitators and barriers to coordination and compare them between patient-rated high sites and low sites and between primary care (PC)-mental health (MH) and PC-medical/surgical specialty care.

SUBJECTS

Physicians, nurses and other clinicians in PC, cardiology, and MH (N=102) in 8 Veterans Affairs medical centers.

RESULTS

We identified warm handoffs, professional relationships, and physical proximity as facilitators, and service agreements, reporting relationships and staffing as barriers. PC-MH coordination was reported as better than PC-medical/surgical specialty coordination. Facilitators were more prevalent and barriers less prevalent in sites rated high by patients than sites rated low, and between PC-MH than between PC-specialty care.

DISCUSSION

We noted that professional relationships were highly related to coordination and both affected other facilitators and barriers and were affected by them. We suggested actions to improve relationships directly, and to address other facilitators and barriers that affect relationships and coordination. Among these is the use of the Primary Care Mental Health Integration model.

Digital and Mobile Health Technology in Collaborative Behavioral Health Care: Scoping Review

BACKGROUND

The collaborative care model (CoCM) is a well-established system of behavioral health care in primary care settings. There is potential for digital and mobile technology to augment the CoCM to improve access, scalability, efficiency, and clinical outcomes.

OBJECTIVE

This study aims to conduct a scoping review to synthesize the evidence available on digital and mobile health technology in collaborative care settings.

METHODS

This review included cohort and experimental studies of digital and mobile technologies used to augment the CoCM. Studies examining primary care without collaborative care were excluded. A literature search was conducted using 4 electronic databases (MEDLINE, Embase, Web of Science, and Google Scholar). The search results were screened in 2 stages (title and abstract screening, followed by full-text review) by 2 reviewers.

RESULTS

A total of 3982 nonduplicate reports were identified, of which 20 (0.5%) were included in the analysis. Most studies used a combination of novel technologies. The range of digital and mobile health technologies used included mobile apps, websites, web-based platforms, telephone-based interactive voice recordings, and mobile sensor data. None of the identified studies used social media or wearable devices. Studies that measured patient and provider satisfaction reported positive results, although some types of interventions increased provider workload, and engagement was variable. In studies where clinical outcomes were measured (7/20, 35%), there were no differences between groups, or the differences were modest.

CONCLUSIONS

The use of digital and mobile health technologies in CoCM is still limited. This study found that technology was most successful when it was integrated into the existing workflow without relying on patient or provider initiative. However, the effect of digital and mobile health on clinical outcomes in CoCM remains unclear and requires additional clinical trials.

Association of Team-Based Care and Continuity of Care with Hospitalizations for Veterans with Comorbid Mental and Physical Health Conditions

BACKGROUND

Integrating mental health in primary care settings is associated with improved screening and detection of mental illness. In 2010, the Veterans Health Administration launched a patient-centered medical home (PCMH) model nationally across all clinical sites that integrated mental health into primary care-the Patient Aligned Care Team (PACT) initiative. Team-based delivery of continuous primary and mental health care, as found in effective collaborative care models, is thought to be crucial to managing veterans with mental health disorders. The association between clinic implementation of specific aspects of PACT and clinical outcomes of veterans with mental health disorders remains unknown.

OBJECTIVE

To examine the association between clinic implementation of team-based care and continuity of care and subsequent hospitalizations among veterans with mental health disorders.

DESIGN

Retrospective cohort study.

PATIENTS

A total of 1,444,942 veterans with comorbid mental health disorders and physical health conditions receiving primary care in 831 VA PACT clinics in fiscal year (FY) 2015.

MAIN MEASURES

We examined the clinic-level implementation of team-based care and continuity of care in the clinic where veterans received their primary care. Our primary outcome was any hospitalization in the VA or fee-based service in FY2016. We examined the impact of clinic-level implementation of team-based care and continuity of care on having a hospitalization, adjusting for patient demographic, clinical characteristics, and facility characteristics.

KEY RESULTS

Veterans receiving care in clinics with the greatest versus lowest quartile of implementation of team-based care had lower rates of hospitalization (8.8% vs. 12.3%; adjusted OR = 0.92, 95% CI 0.85-0.99, p < 0.035). There was not a statistically significant association between clinic-level implementation of continuity of care and hospitalization.

CONCLUSIONS

Veterans receiving care in clinics with greater implementation of team-based care had statistically significant lower rates of hospitalization.

Increased Depression Screening and Treatment Recommendations After Implementation of a Perinatal Collaborative Care Program

OBJECTIVE

The study evaluated whether implementation of perinatal collaborative care is associated with improvements in screening and treatment recommendations for perinatal depression by obstetric clinicians.

METHODS

This cohort study, conducted from January 2015 to January 2019, included all women who received prenatal care in five obstetric clinics and delivered at a single quaternary care hospital in Chicago. In January 2017, a perinatal collaborative care program (COMPASS) was implemented. Completion of depression screening and recommendations for treatment following a positive depression screen were compared before and after COMPASS implementation. Adjusted analyses included inverse probability weighting by using propensity scores to impose control over imbalance between exposure groups with respect to prespecified covariates.

RESULTS

A total of 7,028 women were included in these analyses: 3,227 (46%) before and 3,801 (54%) after COMPASS implementation. Women who received obstetric care after implementation were significantly more likely than those who received care before implementation to receive antenatal screening for depression (81% versus 33%; adjusted odds ratio [aOR]=8.5, 95% confidence interval [CI]=7.6-9.5). After implementation, women with a positive antenatal screen for depression were more likely to receive a treatment recommendation (61% versus 44%; aOR=2.1, 95% CI=1.2-3.7). After implementation of perinatal collaborative care, combined psychotherapy and pharmacotherapy were more frequently recommended, compared with before implementation.

CONCLUSIONS

Implementation of a perinatal collaborative care program was associated with improvements in perinatal depression screening and recommendations for treatment by obstetric clinicians.

Analysis of General Practitioners' Attitudes and Beliefs about Psychological Intervention and the Medicine-Psychology Relationship in Primary Care: Toward a New Comprehensive Approach to Primary Health Care

The biopsychosocial paradigm is a model of care that has been proposed in order to improve the effectiveness of health care by promoting collaboration between different professions and disciplines. However, its application still faces several issues. A quantitative-qualitative survey was conducted on a sample of general practitioners (GPs) from Milan, Italy, to investigate their attitudes and beliefs regarding the role of the psychologist, the approach adopted to manage psychological diseases, and their experiences of collaboration with psychologists. The results show a partial view of the psychologist's profession that limits the potential of integration between medicine and psychology in primary care. GPs recognized that many patients (66%) would often benefit from psychological intervention, but only in a few cases (9%) were these patients regularly referred to a psychologist. Furthermore, the referral represents an almost exclusive form of collaboration present in the opinions of GPs. Only 8% of GPs would consider the joint and integrated work of the psychologist and doctor useful within the primary health care setting. This vision of the role of psychologists among GPs represents a constraint in implementing a comprehensive primary health care approach, as advocated by the World Health Organization.

Implementation of perinatal collaborative care: a health services approach to perinatal depression care

Aim:

Our objective was to integrate lessons learned from perinatal collaborative care programs across the United States, recognizing the diversity of practice settings and patient populations, to provide guidance on successful implementation.

Background:

Collaborative care is a health services delivery system that integrates behavioral health care into primary care. While efficacious, effectiveness requires rigorous attention to implementation to ensure adherence to the core evidence base.

Methods:

Implementation strategies are divided into three pragmatic stages: preparation, program launch, and program growth and sustainment; however, these steps are non-linear and dynamic.

Findings:

The discussion that follows is not meant to be prescriptive; rather, all implementation tasks should be thoughtfully tailored to the unique needs and setting of the obstetric community and patient population. In particular, we are aware that implementation on the level described here assumes commitment of both effort and money on the part of clinicians, administrators, and the health system, and that such financial resources are not always available. We conclude with synthesis of a survey of existing collaborative care programs to identify implementation practices of existing programs.

Regional Adoption of Primary Care-Mental Health Integration in Veterans Health Administration Patient-Centered Medical Homes

INTRODUCTION

Behavioral health integration is important, yet difficult to implement, in patient-centered medical homes. The Veterans Health Administration (VA) mandated evidence-based collaborative care models through Primary Care-Mental Health Integration (PC-MHI) in large PC clinics. This study characterized PC-MHI programs among all PC clinics, including small sites exempt from program implementation, in one VA region.

METHODS

Researchers administered a cross-sectional key informant organizational survey on PC-MHI among VA PC clinics in Southern California, Arizona, and New Mexico (n = 69 distinct sites) from February to May 2018. Researchers analyzed PC clinic leaders' responses to five items about organizational structure and practice management.

RESULTS

Researchers received surveys from 65 clinics (94% response rate). Although only 38% were required to implement on-site PC-MHI programs, 95% of participating clinics reported providing access to such services. The majority reported having integrated, colocated, or tele-MH providers (94%) and care management (77%). Most stated same-day services (59%) and "warm" handoffs (56%) were always available, the former varying significantly based on clinic size and distance from affiliated VA hospitals.

CONCLUSIONS

Regional adoption of PC-MHI was high, including telemedicine, among VA patient-centered medical homes, regardless of whether implementation was required. Small, remote PC clinics that voluntarily provide PC-MHI services may need more support.

Mortality Among Veterans with Major Mental Illnesses Seen in Primary Care: Results of a National Study of Veteran Deaths

BACKGROUND

Premature mortality observed among the mentally ill is largely attributable to chronic illnesses. Veterans seen within Veterans Affairs (VA) have a higher prevalence of mental illness than the general population but there is limited investigation into the common causes of death of Veterans with mental illnesses.

OBJECTIVE

To characterize the life expectancy of mentally ill Veterans seen in VA primary care, and to determine the most death rates of combinations of mental illnesses.

DESIGN

Retrospective cohort study of decedents.

SETTING/PARTICIPANTS

Veterans seen in VA primary care clinics between 2000 and 2011 were included. Records from the VA Corporate Data Warehouse (CDW) were merged with death information from the National Death Index.

MAIN MEASURES

Mental illnesses were determined using ICD9 codes. Direct standardization methods were used to calculate age-adjusted gender and cause-specific death rates per 1000 deaths for patients with and without depression, anxiety, post-traumatic stress disorder (PTSD), substance use disorder (SUD), serious mental illness (SMI), and combinations of those diagnoses.

KEY RESULTS

Of the 1,763,982 death records for Veterans with 1 + primary care visit, 556,489 had at least one mental illness. Heart disease and cancer were the two leading causes of death among Veterans with or without a mental illness, accounting for approximately 1 in 4 deaths. Those with SUD (n = 204,950) had the lowest mean age at time of death (64 ± 12 years). Among men, the death rates were as follows: SUD (55.9/1000); anxiety (49.1/1000); depression (45.1/1000); SMI (40.3/1000); and PTSD (26.2/1000). Among women, death rates were as follows: SUD (55.8/1000); anxiety (36.7/1000); depression (45.1/1000); SMI (32.6/1000); and PTSD (23.1/1000 deaths). Compared to men (10.8/1000) and women (8.7/1000) without a mental illness, these rates were multiple-fold higher in men and in women with a mental illness. A greater number of mental illness diagnoses was associated with higher death rates among men and women (p < 0.0001).

CONCLUSIONS

Veterans with mental illnesses, particularly those with SUD, and those with multiple diagnoses, had shorter life expectancy than those without a mental illness. Future studies should examine both patient and systemic sources of disparities in providing chronic illness care to Veterans with a mental illness.

Comorbidity Profiles Identified in Older Primary Care Patients Who Attempt Suicide

OBJECTIVES

To identify comorbidity profiles of older patients last seen in primary care before a suicide attempt and assess attempt and clinical factors (eg, means and lethality of attempt) associated with these profiles.

DESIGN

Cohort study and latent class analysis using Department of Veterans Affairs (VA) national data (2012-2014).

SETTING

All VA medical centers in the United States.

PARTICIPANTS

A total of 2131 patients 65 years and older who were last seen by a primary care provider before a first documented suicide attempt.

MEASUREMENTS

Fatal suicide attempt and means were identified using the National Suicide Data Repository. Nonfatal attempt was defined using the National Suicide Prevention Applications Network. Medical and psychiatric diagnoses and other variables were determined from electronic medical records.

RESULTS

Patients (mean age = 74.4 y; 98.2% male) were clustered into five classes based on medical and psychiatric diagnoses: Minimal Comorbidity (23.2%); Chronic Pain-Osteoarthritis (30.1%); Depression-Chronic Pain (22.9%); Depression-Medical Comorbidity (16.5%); and High Comorbidity (7.3%). The patients in the Minimal Comorbidity and Chronic Pain-Osteoarthritis classes were most likely to attempt fatally compared with classes with a higher burden of comorbidities. Overall, 61% of the sample attempted fatally, and 82.5% of suicide decedents used firearms.

CONCLUSION

This study provides evidence that most comorbidity profiles (>50%) in primary care patients attempting suicide were characterized by minimal depression diagnoses and fatal attempts, mostly with firearms. These findings suggest that more than a depression diagnosis contributes to risk and that conversations about firearm safety by medical providers may play an important role in suicide intervention and prevention. J Am Geriatr Soc 67:2553-2559, 2019.

High Quality of Care Persists With Shifting Depression Services From VA Specialty to Integrated Primary Care

BACKGROUND/OBJECTIVE

Offering depression collaborative care services in primary care (PC) settings can reduce use of nonintegrated mental health care resources and improve mental health care access, particularly for vulnerable PC patients. Tests of effects on depression care quality, however, are needed. We examined overall quality of depression care and tested whether increasing clinic engagement in Veterans Affairs (VA)'s Primary Care-Mental Health Integration (PC-MHI) services was associated with differences in depression care quality over time.

METHODS

We conducted a retrospective longitudinal cohort study of 80,136 Veterans seen in 26 Southern California VA PC clinics (October 1, 2008-September 30, 2013). Using multilevel regression models adjusting for year, clinic, and patient characteristics, we predicted effects of clinic PC-MHI engagement (ie, percent of PC patients receiving PC-MHI services) on 3 VA-developed longitudinal electronic population-based depression quality measures among Veterans newly diagnosed with depression (n=12,533).

RESULTS

Clinic PC-MHI engagement rates were not associated with significant depression care quality differences. Across all clinics, average rates of follow-up within 84 or 180 days were, 66.4% and 74.5%, respectively. Receipt of minimally appropriate treatment was 80.5%. Treatment probabilities were significantly higher for vulnerable PC patients (homeless: 4.5%, P=0.03; serious mental illness: 15.2%, P<0.001), than for otherwise similar patients without these characteristics.

CONCLUSIONS/POLICY IMPLICATIONS

Study patients treated in PC clinics with greater PC-MHI engagement received similarly high quality depression care, and even higher quality for vulnerable patients. Findings support increasing use of PC-MHI models to the extent that they confer some advantage over existing services (eg, access, patient satisfaction) other than quality of care.

Multimorbidity among Veterans Diagnosed with PTSD in the Veterans Health Administration Nationally

Over 30% of veterans treated for psychiatric disorders in the Veterans Health Administration (VHA) are diagnosed with Post-Traumatic Stress Disorder (PTSD), with most receiving treatment for war-zone stress they experienced decades previously. We examined psychiatric multimorbidity among these patients and consider its implications for treatment and research. Using national VHA data from Fiscal Year 2012 on all veterans diagnosed with PTSD, we compared those with PTSD only to those with one, two, and three or more concurrent (non-substance use) psychiatric disorders. Comparisons of these four groups on sociodemographic characteristics, medical and substance use co-morbidities, health service use, and psychotropic prescription fills were conducted using bi-variate and ordinal logistic regression methods. Of 638,451 veterans diagnosed with PTSD in FY2012, only 29.8% had PTSD alone; 36.7% had one concurrent psychiatric diagnosis, 21.3% had two, and 12.2% had three or more. Anxiety disorder and major depressive disorder were the most common concurrent diagnoses. Veterans with higher levels of multimorbidity were younger, had greater likelihood of recent homelessness, substance use disorder, and diverse medical diagnoses, along with increased mental health and medical service use and greater psychotropic medication use. Psychiatric multimorbidity is highly prevalent among VHA patients diagnosed with PTSD, and may represent an underappreciated and poorly understood clinical complication that poses unique challenges to effective treatment. Clinical attention and both epidemiological and interventional research on multimorbidity in PTSD patients are needed in order to better understand and treat this common but understudied phenomenon.

Association Between Mental Health Staffing Level and Primary Care-Mental Health Integration Level on Provision of Depression Care in Veteran's Affairs Medical Facilities

We examined the association of mental health staffing and the utilization of primary care/mental health integration (PCMHI) with facility-level variations in adequacy of psychotherapy and antidepressants received by Veterans with new, recurrent, and chronic depression. Greater likelihood of adequate psychotherapy was associated with increased (1) PCMHI utilization by recurrent depression patients (AOR 1.02; 95% CI 1.00, 1.03); and (2) staffing for recurrent (AOR 1.03; 95% CI 1.01, 1.06) and chronic (AOR 1.02; 95% CI 1.00, 1.03) depression patients (p < 0.05). No effects were found for antidepressants. Mental health staffing and PCMHI utilization explained only a small amount of the variance in the adequacy of depression care.

VitalSign6: A Primary Care First (PCP-First) Model for Universal Screening and Measurement-Based Care for Depression

Major depressive disorder affects one in five adults in the United States. While practice guidelines recommend universal screening for depression in primary care settings, clinical outcomes suffer in the absence of optimal models to manage those who screen positive for depression. The current practice of employing additional mental health professionals perpetuates the assumption that primary care providers (PCP) cannot effectively manage depression, which is not feasible, due to the added costs and shortage of mental health professionals. We have extended our previous work, which demonstrated similar treatment outcomes for depression in primary care and psychiatric settings, using measurement-based care (MBC) by developing a model, called Primary Care First (PCP-First), that empowers PCPs to effectively manage depression in their patients. This model incorporates health information technology tools, through an electronic health records (EHR) integrated web-application and facilitates the following five components: (1) Screening (2) diagnosis (3) treatment selection (4) treatment implementation and (5) treatment revision. We have implemented this model as part of a quality improvement project, called VitalSign⁶, and will measure its success using the Reach, Efficacy, Adoption, Implementation, and Maintenance (RE-AIM) framework. In this report, we provide the background and rationale of the PCP-First model and the operationalization of VitalSign⁶ project.

Bridging the Gap for Perinatal Veterans: Care by Mental Health Providers at the Veterans Health Administration

BACKGROUND

Pregnant women veterans receive maternity care from community obstetricians but continue to receive mental health care within the Veterans Health Administration (VHA). Our objective was to explore the experiences of VHA mental health providers with pregnant and postpartum veterans.

METHODS

Mental health providers (n = 33) were identified at 14 VHA facilities across the United States. Semistructured interviews were conducted over the phone to learn about provider experiences with perinatal women veterans and their perceptions of depression screening and mental health treatment management for pregnant and postpartum veterans receiving mental health care within the VHA system.

FINDINGS

Providers identified an absence of screening protocols and referral procedures and variability in risk/benefit conversations surrounding psychotropic medication use as important areas of weakness for VHA mental health care during the perinatal period. Care coordination within facilities, primarily through Primary Care-Mental Health Integration teams, was identified as a main facilitator to promoting better mental health care for perinatal veterans.

CONCLUSIONS

Mental health providers caring for veterans during the perinatal period identified several areas where care could be improved, notably in screening and referral processes. A refinement to current guidelines to specify standard screening tools, screening schedules, and referral processes could potentially engage a greater number of pregnant women in VHA mental health care.

Survey of Patient-Centered Coordination of Care for Diabetes with Cardiovascular and Mental Health Comorbidities in the Department of Veterans Affairs

BACKGROUND

Multiple comorbidities thought to be associated with poor coordination due to the need for shared treatment plans and active involvement of patients, among other factors. Cardiovascular and mental health comorbidities present potential coordination challenges relative to diabetes.

OBJECTIVE

To determine how cardiovascular and mental health comorbidities relate to patient-centered coordinated care in the Department of Veterans Affairs.

DESIGN

This observational study used a 2 × 2 factorial design to determine how cardiovascular and mental health comorbidities are associated with patient perceptions of coordinated care among patients with type 2 diabetes mellitus as a focal condition.

PARTICIPANTS

Five thousand eight hundred six patients attributed to 262 primary care providers, from a national sample of 29 medical centers, who had completed an online survey of patient-centered coordinated care in the Department of Veterans Affairs (VA).

MAIN MEASURES

Eight dimensions from the Patient Perceptions of Integrated Care (PPIC) survey, a state-of-the-art measure of patients' perspective on coordinated and patient-centered care.

KEY RESULTS

Mental health conditions were associated with significantly lower patient experiences of coordinated care. Hypotheses for disease severity were not supported, with associations in the hypothesized direction for only one dimension.

CONCLUSIONS

Results suggest that VA may be adequately addressing coordination needs related to cardiovascular conditions, but more attention could be placed on coordination for mental health conditions. While specialized programs for more severe conditions (e.g., heart failure and serious mental illness) are important, coordination is also needed for more common, less severe conditions (e.g., hypertension, depression, anxiety). Strengthening coordination for common, less severe conditions is particularly important as VA develops alternative models (e.g., community care) that may negatively impact the degree to which care is coordinated.

Mental Health Treatment Delay: A Comparison Among Civilians and Veterans of Different Service Eras

OBJECTIVE

The study compared delay of treatment for posttraumatic stress disorder (PTSD), major depressive disorder, and alcohol use disorder among post-9/11 veterans versus pre-9/11 veterans and civilians.

METHODS

The 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III), a nationally representative survey of U.S. noninstitutionalized adults, was used. Participants included 13,528 civilians, 1,130 pre-9/11 veterans, and 258 post-9/11 veterans with lifetime diagnoses of PTSD, major depression, or alcohol use disorder. Cox proportional hazard models, controlling for relevant demographic characteristics, were used to estimate differences in treatment delay (i.e., time between diagnosis and treatment).

RESULTS

Post-9/11 veterans were less likely to delay treatment for PTSD and depression than pre-9/11 veterans (adjusted hazard ratios [AHRs]=0.69 and 0.74, respectively) and civilians (AHRs=0.60 and 0.67, respectively). No differences in treatment delay were observed between post-9/11 veterans and pre-9/11 veterans or civilians for alcohol use disorder. In an exploratory analysis, post-9/11 veterans with past-year military health care coverage (e.g., Veterans Health Administration) had shorter delays for depression treatment compared with post-9/11 veterans without military coverage, pre-9/11 veterans regardless of health care coverage, and civilians, although past-year coverage did not predict treatment delay for PTSD or alcohol use disorder.

CONCLUSIONS

Post-9/11 veterans were less likely to delay treatment for some common psychiatric conditions compared with pre-9/11 veterans or civilians, which may reflect efforts to engage recent veterans in mental health care. All groups exhibited low initiation of treatment for alcohol use disorder, highlighting the need for further engagement efforts.

Using implementation facilitation to implement primary care mental health integration via clinical video telehealth in rural clinics: protocol for a hybrid type 2 cluster randomized stepped-wedge design

Background

Integrating mental health providers into primary care clinics improves access to and outcomes of mental health care. In the Veterans Health Administration (VA) Primary Care Mental Health Integration (PCMHI) program, mental health providers are co-located in primary care clinics, but the implementation of this model is challenging outside large VA medical centers, especially for rural clinics without full mental health staffing. Long wait times for mental health care, little collaboration between mental health and primary care providers, and sub-optimal outcomes for rural veterans could result. Telehealth could be used to provide PCMHI to rural clinics; however, the clinical effectiveness of the tele-PCMHI model has not been tested. Based on evidence that implementation facilitation is an effective implementation strategy to increase uptake of PCMHI when delivered on-site at larger VA clinics, it is hypothesized that this strategy may also be effective with regard to ensuring adequate uptake of the tele-PCMHI model at rural VA clinics.

Methods

This study is a hybrid type 2 pragmatic effectiveness-implementation trial of tele-PCMHI in six sites over 24 months. Tele-PCMHI, which will be delivered by clinical staff available in routine care settings, will be compared to usual care. Fidelity to the care model will be monitored but not controlled. We will use the Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) framework to evaluate the patient-level clinical effectiveness of tele-PCMHI in rural VA clinics and also to evaluate the fidelity to and outcomes of the implementation strategy, implementation facilitation. The proposed study will employ a stepped-wedge design in which study sites sequentially begin implementation in three steps at 6-month intervals. Each step will include (1) a 6-month period of implementation planning, followed by (2) a 6-month period of active implementation, and (3) a final period of stepped-down implementation facilitation.

Discussion

This study will evaluate the effectiveness of PCMHI in a novel setting and via a novel method (clinical video telehealth). We will test the feasibility of using implementation facilitation as an implementation strategy to deploy tele-PCMHI in rural VA clinics.

Trial registration

ClinicalTrials.gov registration number NCT02713217. Registered on 18 March 2016

Electronic supplementary material

The online version of this article (10.1186/s13012-019-0875-5) contains supplementary material, which is available to authorized users.

The Role of Primary Care Experiences in Obtaining Treatment for Depression

BACKGROUND

Managing depression in primary care settings has increased with the rise of integrated models of care, such as patient-centered medical homes (PCMHs). The relationship between patient experience in PCMH settings and receipt of depression treatment is unknown.

OBJECTIVE

In a large sample of Veterans diagnosed with depression, we examined whether positive PCMH experiences predicted subsequent initiation or continuation of treatment for depression.

DESIGN AND PARTICIPANTS

We conducted a lagged cross-sectional study of depression treatment among Veterans with depression diagnoses (n = 27,362) in the years before (Y1) and after (Y2) they completed the Veterans Health Administration's national 2013 PCMH Survey of Healthcare Experiences of Patients.

MAIN MEASURES

We assessed patient experiences in four domains, each categorized as positive/moderate/negative. Depression treatment, determined from administrative records, was defined annually as 90 days of antidepressant medications or six psychotherapy visits. Multivariable logistic regressions measured associations between PCMH experiences and receipt of depression treatment in Y2, accounting for treatment in Y1.

KEY RESULTS

Among those who did not receive depression treatment in Y1 (n = 4613), positive experiences in three domains (comprehensiveness, shared decision-making, self-management support) predicted greater initiation of treatment in Y2. Among those who received depression treatment in Y1 (n = 22,749), positive or moderate experiences in four domains (comprehensiveness, care coordination, medication decision-making, self-management support) predicted greater continuation of treatment in Y2.

CONCLUSIONS

In a national PCMH setting, patient experiences with integrated care, including care coordination, comprehensiveness, involvement in shared decision-making, and self-management support predicted patients' subsequent initiation and continuation of depression treatment over time-a relationship that could affect physical and mental health outcomes.

Inference With Difference-in-Differences With a Small Number of Groups: A Review, Simulation Study, and Empirical Application Using SHARE Data

BACKGROUND

Difference-in-differences (DID) estimation has become increasingly popular as an approach to evaluate the effect of a group-level policy on individual-level outcomes. Several statistical methodologies have been proposed to correct for the within-group correlation of model errors resulting from the clustering of data. Little is known about how well these corrections perform with the often small number of groups observed in health research using longitudinal data.

METHODS

First, we review the most commonly used modeling solutions in DID estimation for panel data, including generalized estimating equations (GEE), permutation tests, clustered standard errors (CSE), wild cluster bootstrapping, and aggregation. Second, we compare the empirical coverage rates and power of these methods using a Monte Carlo simulation study in scenarios in which we vary the degree of error correlation, the group size balance, and the proportion of treated groups. Third, we provide an empirical example using the Survey of Health, Ageing, and Retirement in Europe.

RESULTS

When the number of groups is small, CSE are systematically biased downwards in scenarios when data are unbalanced or when there is a low proportion of treated groups. This can result in over-rejection of the null even when data are composed of up to 50 groups. Aggregation, permutation tests, bias-adjusted GEE, and wild cluster bootstrap produce coverage rates close to the nominal rate for almost all scenarios, though GEE may suffer from low power.

CONCLUSIONS

In DID estimation with a small number of groups, analysis using aggregation, permutation tests, wild cluster bootstrap, or bias-adjusted GEE is recommended.

Comparing behavioral health models for reducing risky drinking among older male veterans

BACKGROUND

Screening older veterans in Veterans Affairs Medical Center (VAMC) primary care clinics for risky drinking facilitates early identification and referral to treatment.

OBJECTIVE

This study compared two behavioral health models, integrated care (a standardized brief alcohol intervention co-located in primary care clinics) and enhanced referral care (referral to specialty mental health or substance abuse clinics), for reducing risky drinking among older male VAMC primary care patients. VAMC variation was also examined.

METHOD

A secondary analysis of longitudinal data from the Primary Care Research in Substance Abuse and Mental Health for Elderly (PRISM-E) study, a multisite randomized controlled trial, was conducted with a sample of older male veterans (n = 438) who screened positive for risky drinking and were randomly assigned to integrated or enhanced referral care at five VAMCs.

RESULTS

Generalized estimating equations revealed no differences in either behavioral health model for reducing risky drinking at a 6-month follow-up (AOR: 1.46; 95% CI: 0.42-5.07). Older veterans seen at a VAMC providing geriatric primary care and geriatric evaluation and management teams had lower odds of risky drinking (AOR: 0.24; 95% CI: 0.07-0.81) than those seen at a VAMC without geriatric primary care services.

CONCLUSIONS

Both integrated and enhanced referral care reduced risky drinking among older male veterans. However, VAMCs providing integrated behavioral health and geriatric specialty care may be more effective in reducing risky drinking than those without these services. Integrating behavioral health into geriatric primary care may be an effective public health approach for reducing risky drinking among older veterans.

Integrating Mental and Physical Health Care for Low-Income Americans: Assessing a Federal Program's Initial Impact on Access and Cost

Individuals with mental health disorders often die decades earlier than the average person, and low-income individuals disproportionately experience limited access to necessary services. In 2014, the U.S. Health Resources & Services Administration (HRSA) leveraged Affordable Care Act funds to address these challenges through behavioral health integration. The objective of this study is to assess the US$55 million program’s first-year impact on access and cost. This analysis uses multivariable difference-in-difference regression models to estimate changes in outcomes between the original 219 Federally Qualified Health Center (FQHC) Behavioral Health Integration grantees and two comparison groups. The primary outcome variables are annual depression screening rate, percentage of mental health and substance use patients served, and per capita cost. The results change when comparing the Behavioral Health Integration (BHI) grantees to a propensity score-matched comparison group versus comparing the grantees to the full population of health centers. After one year of implementation, the grant program appeared ineffective as measured by this study’s outcomes, though costs did not significantly rise because of the program. This study has limitations that must be discussed, including non-randomized study design, FQHC data measurement, and BHI program design consequences. Time will tell if FQHC-based behavioral–physical health care integration will improve access among low-income, medically-underserved populations.

The Prevalence of Posttraumatic Stress Disorder in Primary Care: A Systematic Review

LEARNING OBJECTIVES

After participating in this activity, learners should be better able to:• Determine the prevalence of clinician-diagnosed posttraumatic stress disorder (PTSD) in primary care patients• Identify the prevalence of questionnaire-ascertained PTSD symptoms in primary care patients OBJECTIVE: Determine the prevalence of clinician-diagnosed PTSD and questionnaire-ascertained PTSD symptoms in primary care patients.

METHODS

A systematic review of the literature using the PRISMA method, searching MEDLINE, CINAHL, Cochrane Database, PsycINFO, EMBASE, Google Scholar, and relevant book chapter bibliographies. Studies that reported on the prevalence, including point or lifetime prevalence, of PTSD ascertained using diagnostic interviews or self-report questionnaires, or from administrative data, among patients seen in primary care were deemed eligible for inclusion. We abstracted data on the PTSD assessment tool, the mean questionnaire scores/cutoff scores, the time period of PTSD symptoms, and PTSD prevalence reported.

RESULTS

Of 10,614 titles screened, 41 studies were eligible for inclusion. The included studies assessed PTSD in a total of 7,256,826 primary care patients. The median point prevalence of PTSD across studies was 12.5%. The median point prevalence in the civilian population was 11.1%; in the special-risk population, 12.5%; and in veterans, 24.5%. The point prevalence of diagnostic interview-ascertained PTSD ranged from 2% to 32.5%, and the point prevalence of questionnaire-based substantial PTSD symptoms ranged from 2.9% to 39.1%. Lifetime prevalence of diagnostic interview-ascertained PTSD ranged from 14.5% to 48.8%. The prevalence of PTSD in administrative data-based studies ranged from 3.5% to 29.2%.

CONCLUSIONS

PTSD is common in primary care settings. Additional research on effective and generalizable interventions for PTSD in primary care is needed.

Organizational correlates of implementation of colocation of mental health and primary care in the Veterans Health Administration

This study explored the role of organizational factors in the ability of Veterans Health Administration (VHA) clinics to implement colocated mental health care in primary care settings (PC-MH). The study used data from the VHA Clinical Practice Organizational Survey collected in 2007 from 225 clinic administrators across the United States. Clinic degree of implementation of PC-MH was the dependent variable, whereas independent variables included policies and procedures, organizational context, and leaders' perceptions of barriers to change. Pearson bivariate correlations and multivariable linear regression were used to test hypotheses. Results show that depression care training for primary care providers and clinics' flexibility and participation were both positively correlated with implementation of PC-MH. However, after accounting for other factors, regressions show that only training primary care providers in depression care was marginally associated with degree of implementation of PC-MH (p = 0.051). Given the importance of this topic for implementing integrated care as part of health care reform, these null findings underscore the need to improve theory and testing of more proximal measures of colocation in future work.

Telepsychiatry integration of mental health services into rural primary care settings

From a population health perspective, the mental health care system in the USA faces two fundamental challenges: (1) a lack of capacity and (2) an inequitable geographic distribution of services. Telepsychiatry can help address the equity problem, and if applied thoughtfully, can also help address the capacity problem. In this paper we describe how telepsychiatry can be used to address the capacity and equity challenges related to the delivery of mental health services in rural areas. Five models of telepsychiatry are described, including (1) the traditional telepsychiatry referral model, (2) The telepsychiatry collaborative care model, (3) the telepsychiatry behavioural health consultant model, (4) the telepsychiatry consultation-liaison model, and (5) the telepsychiatry curbside consultation model. The strong empirical evidence for the telepsychiatry collaborative care model is presented along with two case studies of telepsychiatry consultation in the context of the telepsychiatry collaborative care model. By placing telepsychiatrists and tele-therapists in consultation roles, telepsychiatry collaborative care has the potential to leverage scarce specialist mental health resources to reach more patients, thereby allowing these providers to have a greater population level impact compared to traditional referral models of care. Comparative effectiveness trials are needed to identify which models of telepsychiatry are the most appropriate for patients with complex psychiatric disorders.

Recommendations for Primary Care Provided by Psychiatrists

Recent studies have shown that people with severe mental illness have a dramatically lower life expectancy than the general population. Psychiatrists have not traditionally been very attentive to or involved with physical health issues and there has been growing emphasis on integrated care for physical and mental health and access to primary care for all members of the population. This paper examines the role of psychiatrists in the provision of primary care to the patients they treat. Some recommendations are offered for their involvement in the provision of primary care at three levels of complexity: Level 1--Universal Basic Psychiatric Primary Care; Level 2--Enhanced Psychiatric Primary Care; and Level 3--Fully Integrated Primary Care and Psychiatric Management. Some of the obstacles to the provision of primary care by psychiatrists are considered along with some suggestions for overcoming them.

Patient-centered medical home initiative produced modest economic results for Veterans Health Administration, 2010-12

In 2010 the Veterans Health Administration (VHA) began a nationwide initiative called Patient Aligned Care Teams (PACT) that reorganized care at all VHA primary care clinics in accordance with the patient-centered medical home model. We analyzed data for fiscal years 2003-12 to assess how trends in health care use and costs changed after the implementation of PACT. We found that PACT was associated with modest increases in primary care visits and with modest decreases in both hospitalizations for ambulatory care-sensitive conditions and outpatient visits with mental health specialists. We estimated that these changes avoided $596 million in costs, compared to the investment in PACT of $774 million, for a potential net loss of $178 million in the study period. Although PACT has not generated a positive return, it is still maturing, and trends in costs and use are favorable. Adopting patient-centered care does not appear to have been a major financial risk for the VHA.

An Evidence Roadmap for Implementation of Integrated Behavioral Health under the Affordable Care Act

The Affordable Care Act (ACA) created incentives and opportunities to redesign health care to better address mental and behavioral health needs. The integration of behavioral health and primary care is increasingly viewed as an answer to address such needs, and it is advisable that evidence-based models and interventions be implemented whenever possible with fidelity. At the same time, there are few evidence-based models, especially beyond depression and anxiety, and thus further research and evaluation is needed. Resources being allocated to adoption of models of integrated behavioral health care (IBHC) should include quality improvement, evaluation, and translational research efforts using mixed methodology to enhance the evidence base for IBHC in the context of health care reform. This paper covers six key aspects of the evidence for IBHC, consistent with mental and behavioral health elements of the ACA related to infrastructure, payments, and workforce. The evidence for major IBHC models is summarized, as well as evidence for targeted populations and conditions, education and training, information technology, implementation, and cost and sustainability.

Prevalence, Comorbidity, and Prognosis of Mental Health Among US Veterans

OBJECTIVES

We evaluated the association of mental illnesses with clinical outcomes among US veterans and evaluated the effects of Primary Care-Mental Health Integration (PCMHI).

METHODS

A total of 4 461 208 veterans were seen in the Veterans Health Administration's patient-centered medical homes called Patient Aligned Care Teams (PACT) in 2010 and 2011, of whom 1 147 022 had at least 1 diagnosis of depression, posttraumatic stress disorder (PTSD), substance use disorder (SUD), anxiety disorder, or serious mental illness (SMI; i.e., schizophrenia or bipolar disorder). We estimated 1-year risk of emergency department (ED) visits, hospitalizations, and mortality by mental illness category and by PCMHI involvement.

RESULTS

A quarter of all PACT patients reported 1 or more mental illnesses. Depression, SMI, and SUD were associated with increased risk of hospitalization or death. PTSD was associated with lower odds of ED visits and mortality. Having 1 or more contact with PCMHI was associated with better outcomes.

CONCLUSIONS

Mental illnesses are associated with poor outcomes, but integrating mental health treatment in primary care may be associated with lower risk of those outcomes.

Why We Should Not Be Indifferent to Specification Choices for Difference-in-Differences

OBJECTIVE

To evaluate the effects of specification choices on the accuracy of estimates in difference-in-differences (DID) models.

DATA SOURCES

Process-of-care quality data from Hospital Compare between 2003 and 2009.

STUDY DESIGN

We performed a Monte Carlo simulation experiment to estimate the effect of an imaginary policy on quality. The experiment was performed for three different scenarios in which the probability of treatment was (1) unrelated to pre-intervention performance; (2) positively correlated with pre-intervention levels of performance; and (3) positively correlated with pre-intervention trends in performance. We estimated alternative DID models that varied with respect to the choice of data intervals, the comparison group, and the method of obtaining inference. We assessed estimator bias as the mean absolute deviation between estimated program effects and their true value. We evaluated the accuracy of inferences through statistical power and rates of false rejection of the null hypothesis.

PRINCIPAL FINDINGS

Performance of alternative specifications varied dramatically when the probability of treatment was correlated with pre-intervention levels or trends. In these cases, propensity score matching resulted in much more accurate point estimates. The use of permutation tests resulted in lower false rejection rates for the highly biased estimators, but the use of clustered standard errors resulted in slightly lower false rejection rates for the matching estimators.

CONCLUSIONS

When treatment and comparison groups differed on pre-intervention levels or trends, our results supported specifications for DID models that include matching for more accurate point estimates and models using clustered standard errors or permutation tests for better inference. Based on our findings, we propose a checklist for DID analysis.

Outcomes of a partnered facilitation strategy to implement primary care-mental health

BACKGROUND

Implementing new programs and practices is challenging, even when they are mandated. Implementation Facilitation (IF) strategies that focus on partnering with sites show promise for addressing these challenges.

OBJECTIVE

Our aim was to evaluate the effectiveness of an external/internal IF strategy within the context of a Department of Veterans Affairs (VA) mandate of Primary Care-Mental Health Integration (PC-MHI).

DESIGN

This was a quasi-experimental, Hybrid Type III study. Generalized estimating equations assessed differences across sites.

PARTICIPANTS

Patients and providers at seven VA primary care clinics receiving the IF intervention and national support and seven matched comparison clinics receiving national support only participated in the study.

INTERVENTION

We used a highly partnered IF strategy incorporating evidence-based implementation interventions.

MAIN MEASURES

We evaluated the IF strategy using VA administrative data and RE-AIM framework measures for two 6-month periods.

KEY RESULTS

Evaluation of RE-AIM measures from the first 6-month period indicated that PC patients at IF clinics had nine times the odds (OR=8.93, p<0.001) of also being seen in PC-MHI (Reach) compared to patients at non-IF clinics. PC providers at IF clinics had seven times the odds (OR=7.12, p=0.029) of referring patients to PC-MHI (Adoption) than providers at non-IF clinics, and a greater proportion of providers' patients at IF clinics were referred to PC-MHI (Adoption) compared to non-IF clinics (β=0.027, p<0.001). Compared to PC patients at non-IF sites, patients at IF clinics did not have lower odds (OR=1.34, p=0.232) of being referred for first-time mental health specialty clinic visits (Effectiveness), or higher odds (OR=1.90, p=0.350) of receiving same-day access (Implementation). Assessment of program sustainability (Maintenance) was conducted by repeating this analysis for a second 6-month time period. Maintenance analyses results were similar to the earlier period.

CONCLUSION

The addition of a highly partnered IF strategy to national level support resulted in greater Reach and Adoption of the mandated PC-MHI initiative, thereby increasing patient access to VA mental health care.

A pilot trial of telephone-based collaborative care management for PTSD among Iraq/Afghanistan war veterans

BACKGROUND

Collaborative care and care management are cornerstones of Primary Care-Mental Health Integration (PC-MHI) and have been shown to reduce depressive symptoms. Historically, the standard of Veterans Affairs (VA) collaborative care was referring patients with posttraumatic stress disorder (PTSD) to specialty care. Although referral to evidence-based specialty care is ideal, many veterans with PTSD do not receive such care. To address this issue and reduce barriers to care, VA currently recommends veterans with PTSD be offered treatment within PC-MHI as an alternative. The current project outlines a pilot implementation of an established telephone-based collaborative care model-Translating Initiatives for Depression into Effective Solutions (TIDES)-adapted for Iraq/Afghanistan War veterans with PTSD symptoms (TIDES/PTSD) seen in a postdeployment primary care clinic.

MATERIALS AND METHODS

Structured medical record extraction and qualitative data collection procedures were used to evaluate acceptability, feasibility, and outcomes.

RESULTS

Most participants (n=17) were male (94.1%) and white (70.6%). Average age was 31.2 (standard deviation=6.4) years. TIDES/PTSD was successfully implemented within PC-MHI and was acceptable to patients and staff. Additionally, the total number of care manager calls was positively correlated with number of psychiatry visits (r=0.63, p<0.05) and amount of reduction in PTSD symptoms (r=0.66, p<0.05). Overall, participants in the pilot reported a significant reduction in PTSD symptoms over the course of the treatment (t=2.87, p=0.01).

CONCLUSIONS

TIDES can be successfully adapted and implemented for use among Iraq/Afghanistan veterans with PTSD. Further work is needed to test the effectiveness and implementation of this model in other sites and among veterans of other eras.

Building an evidence base for the co-occurrence of chronic disease and psychiatric distress and impairment

Introduction

Mental disorders and chronic diseases have been reported to independently affect half of the US population. The objective of this study was to evaluate the comorbid nature of these conditions.

Methods

We analyzed data from 39,954 participants from the 2009 California Health Interview Survey who reported both psychological distress and impairment, on the basis of the Kessler 6 and the Sheehan Disability Scale, and 1 or more of 4 chronic diseases (type 2 diabetes, high blood pressure, asthma, heart disease). Weighted and nonweighted multivariable logistic regression were used to investigate the association between psychological distress and impairment and chronic disease, after adjusting for sex, age, race, current smoking, binge drinking in the previous year, moderate physical activity, and body mass index.

Results

After controlling for covariates in the model, we found a significant dose–response relationship between reported chronic diseases and psychiatric distress and impairment that ranged from 1.50 for 1 reported chronic disease to 4.68 for 4 reported chronic diseases.

Conclusion

The growing chronic disease burden should be understood clinically in the context of mental health conditions. Further research is needed to identify ways to integrate mental health and chronic disease prevention in primary care.

Motivational interviewing with primary care populations: a systematic review and meta-analysis

This meta-analysis synthesized the findings from randomized controlled trials (RCTs) of motivational interviewing (MI) for health behavior outcomes within primary care populations. Published and unpublished RCTs were identified using databases and online listservs. Studies were synthesized by outcome subgroup and meta-regression analyses were conducted to determine potential moderators accounting for heterogeneity within samples. Mean effect sizes ranged from .07 to .47; significant effect sizes were found for the adherence subgroup of studies (p = .04) and all outcomes combined (p = .02). Professional credentials of intervention deliverer were found to significantly moderate the association between MI and effect size in substance use subgroup (p = .0005) and all outcomes combined (p = .004). Mean effect sizes were largest in outcomes related to weight loss, blood pressure, and substance use. MI appears to be useful in clinical settings and as few as 1 MI session may be effective in enhancing readiness to change and action directed towards reaching health behavior-change goals.

Primary care practice characteristics associated with the quality of care received by patients with depression and comorbid chronic conditions

OBJECTIVE

This study aimed to identify primary care practice characteristics associated with the quality of depression care in patients with comorbid chronic medical and/or psychiatric conditions.

METHOD

Using data from cross-sectional organizational and patient surveys conducted within 61 primary care clinics in Quebec, Canada, the relationships between primary care practice characteristics, comorbidity profile, and the recognition and minimally adequate treatment of depression were assessed using multilevel logistic regression analysis with 824 adults with past-year depression and comorbid chronic conditions.

RESULTS

Likelihood of depression recognition was higher in clinics where accessibility of mental health professionals was not viewed to be a major barrier to depression care [odds ratio (OR)=1.61; 95% confidence interval (CI) 1.13-2.30]. Four practice characteristics were associated with minimal treatment adequacy: greater use of treatment algorithms for depression (OR=1.77; 95% CI=1.18-2.65), high value given to teamwork (OR=2.48; 95% CI=1.40-4.38), having at least one general practitioner at the clinic devote significant time in practice to mental health (OR=1.54; 95% CI=1.07-2.21) and low perceived barriers to depression care due to inadequate payment models (OR=2.12; 95% CI=1.30-3.46).

CONCLUSIONS

Several primary care practice characteristics significantly influence the quality of care provided to patients with depression and comorbid chronic conditions and should be targeted in quality improvement efforts.

The role of mental and behavioral health in the application of the patient-centered medical home in the Department of Veterans Affairs

The patient-centered medical home, which is termed the Patient Aligned Care Team (PACT) in the Department of Veterans Affairs (VA), is a transformational initiative with mental and behavioral health as integral components. Funding has been provided to VA medical facilities to assist with the transformation and process redesign of primary care into interdisciplinary teams focused on increased access, Veteran-centered care, and active incorporation of collaborative expertise from specialists within primary care. Primary care clinics are not simple machines that change by merely replacing parts or colocating additional resources. Rather, they are complex systems with a relationship infrastructure among members of the team that is critically important to the change process. Mental health professionals are integral, mandated members of the PACTs providing needed mental and behavioral health care to Veterans as an integrated component of primary care. They also work to catalyze a quality improvement process that encourages collaboration, innovation, and adoption of best practices that promote transformation based on patient-centered principles of care. The purpose of this article is to describe the evolution of VA primary care settings toward interdisciplinary teams that provide patient-centered care in collaboration with Primary Care-Mental Health Integration providers and Health Promotion Disease Prevention team members.

PTSD in primary care--an update on evidence-based management

Posttraumatic stress disorder (PTSD) is common in primary care but it is frequently not detected or treated adequately. There is insufficient evidence to recommend universal screening for PTSD in primary care, but clinicians should remain alert to PTSD among patients exposed to trauma, and among those with other psychiatric disorders, irritable bowel syndrome, multiple somatic symptoms and chronic pain. A two-stage process of screening (involving the PC-PTSD), and, for those with a positive screen, a diagnostic evaluation (using the PTSD-Checklist), can detect most patients with PTSD with few false positives. Evidence-based recommendations are provided for treatment in primary care or referral to mental health.

Offender diversion into substance use disorder treatment: the economic impact of California's proposition 36

OBJECTIVES

We determined the costs and savings attributable to the California Substance Abuse and Crime Prevention Act (SACPA), which mandated probation or continued parole with substance abuse treatment in lieu of incarceration for adult offenders convicted of nonviolent drug offenses and probation and parole violators.

METHODS

We used individually linked, population-level administrative data to define intervention and control cohorts of offenders meeting SACPA eligibility criteria. Using multivariate difference-in-differences analysis, we estimated the effect of SACPA implementation on the total and domain-specific costs to state and county governments, controlling for fixed individual and county characteristics and changes in crime at the county level.

RESULTS

The additional costs of treatment were more than offset by savings in other domains, primarily in the costs of incarceration. We estimated the statewide policy effect as an adjusted savings of $2317 (95% confidence interval = $1905, $2730) per offender over a 30-month postconviction period. SACPA implementation resulted in greater incremental cost savings for Blacks and Hispanics, who had markedly higher rates of conviction and incarceration.

CONCLUSIONS

The monetary benefits to government exceeded the additional costs of SACPA implementation and provision of treatment.