The Impact of Systematic Depression Screening in Primary Care on Depression Identification and Treatment in a Large Health Care System: A Cohort Study

Global, regional, and national time trends in incidence for depressive disorders, from 1990 to 2019: an age-period-cohort analysis for the GBD 2019

BACKGROUND

Even with advances in primary health care, depressive disorders remain a major global public health problem. We conducted an in-depth analysis of global, regional and national trends in depressive disorders incidence over the past 30 years.

METHODS

Data on the incidence of depressive disorders were obtained by sex (female, male, and both), location (204 countries), age (5-84 years), year (1990-2019) from the Global Burden of Disease Study (GBD) 2019. Further, age-period-cohort modeling was used to estimate the net drift, local drift, age, period and cohort effects between 1990 and 2019.

RESULTS

In 2019, although the incidence of depressive disorders has increased by 59.3% to 290 million (95% UI: 256, 328), the age-standardized incidence rate has decreased by 2.35% to 3588.25 per 100,000 people (3152.71, 4060.42) compared to 1990. There was an emerging transition of incidences from the young and middle-aged population to the old population. From 1990 to 2019, the net drift of incidence rate ranged from -0.54% (-0.61%, -0.47%) in low-middle Socio-demographic Index (SDI) regions to 0.52% (0.25%, 0.79%) in high SDI regions. Globally, the incidence rate of depressive disorders increases with age, period effects showing a decreasing risk and cohort effects beginning to decline after the 1960s.

CONCLUSIONS

Our current findings reflect substantial health disparities and potential priority-setting of depressive disorders incidence in the three dimensions of age, period and cohort across SDI regions, countries. The scope of healthcare to improve the progression of depressive disorders events can be expanded to include males, females of all ages.

College students' intent to intervene with a hypothetical peer exhibiting depression: Leveraging lessons learned during the COVID-19 pandemic

This study assesses college students' intent to intervene when presented with a hypothetical peer exhibiting depression in one of three scenarios: depression, sadness, and depression in quarantine during COVID-19. Using the Theory of Planned Behavior (TPB), variations in constructs associated with intent were examined by context (external triggers vs. no trigger), knowledge of, and experience with depression. One hundred and sixteen health sciences students read three vignettes and completed an enhanced TPB questionnaire. Intent to intervene was greater when the vignette target was experiencing depression with external stressors. Prior experience with depression and knowing someone with depression were associated with greater intent to connect the hypothetical peer to counseling resources regardless of vignette scenario. Due to increased mental health concerns resulting from the COVID-19 pandemic, efforts promoting awareness of mental illness in peers may benefit from increasing education about stressors and causes of depression that may not be observable.

Young Women's Perspectives on Being Screened for Hereditary Breast and Ovarian Cancer Risk During Routine Primary Care

PURPOSE

The U.S. Preventive Services Task Force recommends screening women to identify individuals eligible for genetic counseling based on a priori hereditary breast and ovarian cancer syndrome (HBOC) risk (i.e., risk assessment). However, risk assessment has not been widely integrated into primary care. This qualitative study explored young women's views on implementing routine HBOC risk assessment with a focus on equity and patient-centeredness.

METHODS

We conducted group discussions with young women (aged 21-40 years) receiving care in an integrated health care system. Discussion groups occurred in two phases and used a modified deliberative approach that included a didactic component and prioritized developing consensus. Twenty women participated in one of three initial small group discussions (phase one). All 20 were invited to participate in a subsequent large group discussion (phase two), and 15 of them attended.

FINDINGS

Key themes and recommendations were as follows. Risk assessment should be accessible, contextualized, and destigmatized to encourage participation and reduce anxiety, particularly for women who do not know their family history. Providers conducting risk assessments must be equipped to address women's informational needs, relieve emotionality, and plan next steps after positive screens. Finally, to minimize differential screening uptake, health care systems must prioritize equity in program design and contribute to external educational and outreach efforts.

CONCLUSION

Young women see pragmatic opportunities for health systems to optimize HBOC screening implementation.

Asynchronous Versus Synchronous Screening for Depression and Suicidality in a Primary Health Care System: Quality Improvement Study

Background

Despite being a debilitating, costly, and potentially life-threatening condition, depression is often underdiagnosed and undertreated. Previsit Patient Health Questionnaire-9 (PHQ-9) may help primary care health systems identify symptoms of severe depression and prevent suicide through early intervention. Little is known about the impact of previsit web-based PHQ-9 on patient care and safety.

Objective

We aimed to investigate differences among patient characteristics and provider clinical responses for patients who complete a web-based (asynchronous) versus in-clinic (synchronous) PHQ-9.

Methods

This quality improvement study was conducted at 33 clinic sites across 2 health systems in Northern California from November 1, 2020, to May 31, 2021, and evaluated 1683 (0.9% of total PHQs completed) records of patients endorsing thoughts that they would be better off dead or of self-harm (question 9 in the PHQ-9) following the implementation of a depression screening program that included automated electronic previsit PHQ-9 distribution. Patient demographics and providers' clinical response (suicide risk assessment, triage nurse connection, medication management, electronic consultation with psychiatrist, and referral to social worker or psychiatrist) were compared for patients with asynchronous versus synchronous PHQ-9 completion.

Results

Of the 1683 patients (female: n=1071, 63.7%; non-Hispanic: n=1293, 76.8%; White: n=831, 49.4%), Hispanic and Latino patients were 40% less likely to complete a PHQ-9 asynchronously (odds ratio [OR] 0.6, 95% CI 0.45-0.8; P<.001). Patients with Medicare insurance were 36% (OR 0.64, 95% CI 0.51-0.79) less likely to complete a PHQ-9 asynchronously than patients with private insurance. Those with moderate to severe depression were 1.61 times more likely (95% CI 1.21-2.15; P=.001) to complete a PHQ-9 asynchronously than those with no or mild symptoms. Patients who completed a PHQ-9 asynchronously were twice as likely to complete a Columbia-Suicide Severity Rating Scale (OR 2.41, 95% CI 1.89-3.06; P<.001) and 77% less likely to receive a referral to psychiatry (OR 0.23, 95% CI 0.16-0.34; P<.001). Those who endorsed question 9 "more than half the days" (OR 1.62, 95% CI 1.06-2.48) and "nearly every day" (OR 2.38, 95% CI 1.38-4.12) were more likely to receive a referral to psychiatry than those who endorsed question 9 "several days" (P=.002).

Conclusions

Shifting depression screening from in-clinic to previsit led to a dramatic increase in PHQ-9 completion without sacrificing patient safety. Asynchronous PHQ-9 can decrease workload on frontline clinical team members, increase patient self-reporting, and elicit more intentional clinical responses from providers. Observed disparities will inform future improvement efforts.

Association between sociodemographic factors, clinic characteristics and mental health screening rates in primary care

BACKGROUND

Screening for mental health problems has been shown to be effective to detect depression and initiate treatment in primary care. Current guidelines recommend periodic screening for depression and anxiety. This study examines the association of patient sociodemographic factors and clinic characteristics on mental health screening in primary care.

DESIGN

In this retrospective cohort study, electronic medical record (EMR) data from a 14-month period from 10/15/2021 to 12/14/2022 were analyzed. Data were retrieved from 18 primary care clinics from the Corewell Health healthcare system in West Michigan. The main outcome was documentation of any Patient Health Questionnaire (PHQ-4/PHQ-9/GAD-7) screening in the EMR within the 14-month period at patient level. General linear regression models with logit link function were used to assess adjusted odds ratio (aOR) of having a documented screening.

RESULTS

In total, 126,306 unique patients aged 16 years or older with a total of 291,789 encounters were included. The prevalence of 14-month screening was 79.8% (95% CI, 79.6-80.0). Regression analyses revealed higher screening odds for patients of smaller clinics (<5,000 patients, aOR 1.88; 95% CI 1.80-1.98 vs. clinics >10.000 patients), clinics in areas with mental health provider shortages (aOR 1.69; 95% CI 1.62-1.77), frequent visits (aOR 1.80; 95% CI, 1.78-1.83), and having an annual physical / well child visit encounter (aOR 1.52; 95% CI, 1.47-1.57). Smaller positive effect sizes were also found for male sex, Black or African American race, Asian race, Latinx ethnicity (ref. White/Caucasians), and having insurance through Medicaid (ref. other private insurance).

DISCUSSION

The 14-month mental health screening rates have been shown to be significantly lower among patients with infrequent visits seeking care in larger clinics and available mental health resources in the community. Introducing and incentivizing mandatory mental health screening protocols in annual well visits, are viable options to increase screening rates.

An "Engage to Sustain" Intervention to Improve Process Performance Measures in Ambulatory Care

In ambulatory care, monitoring process performance measures (PPMs) is essential to meet regulatory requirements, establish targets for care, seek reimbursement, and evaluate patient care responsibilities. We implemented a comprehensive program, "Engage to Sustain," for licensed practical nurses (LPNs) and certified medical assistants (CMAs) to practice at the top of their licensure/certification. Screening rates for 4 key PPMs (depression screening, fall risk screening, and tobacco use screening and counseling) markedly increased following this intervention across 18 ambulatory departments with more than 2 million patient visits. These results suggest that shifting responsibilities for patient screening from physicians and advanced practitioners to LPNs and CMAs may improve screening rates.

Pragmatic Clinical Trial of Population Health, Portal-Based Depression Screening: the PORTAL-Depression Study

BACKGROUND

A population health approach to depression screening using patient portals may be a promising strategy to proactively engage and identify patients with depression.

OBJECTIVE

To determine whether a population health approach to depression screening is more effective than screening during clinic appointments alone for identifying patients with depression.

DESIGN

A pragmatic clinical trial at an adult outpatient internal medicine clinic at an urban, academic, tertiary care center.

PATIENTS

Eligible patients (n = 2713) were adults due for depression screening with active portal accounts. Patients with documented depression or bipolar disorder and those who had been screened in the year prior to the study were excluded.

INTERVENTION

Patients were randomly assigned to usual (n = 1372) or population healthcare (n = 1341). For usual care, patients were screened by medical assistants during clinic appointments. Population healthcare patients were sent letters through the portal inviting them to fill out an online screener regardless of whether they had a scheduled appointment. The same screening tool, the Computerized Adaptive Test for Mental Health (CAT-MH™), was used for clinic- and portal-based screening.

MAIN MEASURES

The primary outcome was the depression screening rate.

KEY RESULTS

The depression screening rate in the population healthcare arm was higher than that in the usual care arm (43% (n = 578) vs. 33% (n = 459), p < 0.0001). The rate of positive screens was also higher in the population healthcare arm compared to that in the usual care (10% (n = 58) vs. 4% (n = 17), p < 0.001).

CONCLUSION

Findings suggest depression screening via a portal as part of a population health approach can increase screening and case identification, compared to usual care.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03832283.

Mental Health Screening Differences in Non-English Speaking Patients: Results From a Retrospective Cohort Study

PURPOSE

To assess differences in mental health screening based on patient's preferred language.

METHODS

For this retrospective cohort study, data for 85 725 unique patients from 10 primary care clinics in West Michigan were analyzed if patients received at least 1 mental health screening with the Patient Health Questionnaire 4 (PHQ-4) within a 12-month period (10/15/2021-10/14/2022). A general linear regression model was used to assess the adjusted odds ratios (aOR) of being screened.

RESULTS

Patients having a preferred language other than English (n = 2755) had an 87.0% chance of receiving the recommended mental health screening, compared to 76.7% of English-speaking patients (P < .001). A multivariable model revealed decreased screening odds for Kinyarwanda (aOR 0.29, 95% CI 0.19-0.45) and Persian/Dari/Pashto (aOR 0.46, 95% CI 0.23-0.91) speaking patients and higher screening odds for Spanish (aOR 1.45, 95% CI 1.19-1.77), Bosnian (aOR 2.13, 95% CI 1.11-4.11), and Vietnamese (aOR 2.25 95% CI 1.64-3.08) speaking patients compared to English speaking patients.

CONCLUSIONS

Results highlight the inequities between the language groups that are probably the result of the challenges to access multilingual depression and anxiety screening instruments. Furthermore, providers may be prone to bias about who they think "needs" a mental health screening. We suggest that measures are implemented to ensure consistency in mental health screening regardless of a patients' preferred language.

Depression in Primary Care, 2010-2018

BACKGROUND

Depression is common in primary care and significantly reduces quality of life. Our study aimed to examine the prevalence of depression in primary care visits, examine patterns of depression treatment and referral, and determine how often depression screening occurred over an 8-year timespan.

METHODS

From the 2010-2018 National Ambulatory Medical Care Survey, a national probability sample of non-federal, ambulatory encounters, we identified adults being seen in a primary care clinic. We assessed the prevalence of depression screening, diagnosis, and treatment.

RESULTS

During these 8 years, 13.1% of primary care encounters involved a patient with a diagnosis of depression. The prevalence of depression did not change over time. Patients were screened for depression 4.1% of the time, with screening increasing over time. Depression was more likely to be diagnosed when screening occurred (odds ratio 9.9; 95% confidence interval, 6.8-14.5%). Most patients were treated with a selective serotonin reuptake inhibitor.

CONCLUSION

Depression is common in primary care, though screening was infrequent. Practices should consider instituting universal screening.

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

BACKGROUND

Depression is most often treated by primary care providers (PCPs), but low self-efficacy in caring for depression may impede adequate management. We aimed to identify which elements of integrated behavioral health (BH) were associated with greater confidence among PCPs in identifying and managing depression.

DESIGN

Mailed cross-sectional surveys in 2016.

PARTICIPANTS

BH leaders and PCPs caring for adult patients at community health centers (CHCs) in 10 midwestern states.

MAIN MEASURES

Survey items asked about depression screening, systems to support care, availability and integration of BH, and PCP attitudes and experiences. PCPs rated their confidence in diagnosing, assessing severity, providing counseling, and prescribing medication for depression on a 5-point scale. An overall confidence score was calculated (range 4 (low) to 20 (high)). Multilevel linear mixed models were used to identify factors associated with confidence.

KEY RESULTS

Response rates were 60% (N=77/128) and 52% (N=538/1039) for BH leaders and PCPs, respectively. Mean overall confidence score was 15.25±2.36. Confidence was higher among PCPs who were satisfied with the accuracy of depression screening (0.38, p=0.01), worked at CHCs with depression tracking systems (0.48, p=0.045), had access to patients' BH treatment plans (1.59, p=0.002), and cared for more patients with depression (0.29, p=0.003). PCPs who reported their CHC had a sufficient number of psychiatrists were more confident diagnosing depression (0.20, p=0.02) and assessing severity (0.24, p=0.03). Confidence in prescribing was lower at CHCs with more patients living below poverty (-0.66, p<0.001). Confidence in diagnosing was lower at CHCs with more Black/African American patients (-0.20, p=0.03).

CONCLUSIONS

PCPs who had access to BH treatment plans, a system for tracking patients with depression, screening protocols, and a sufficient number of psychiatrists were more confident identifying and managing depression. Efforts are needed to address disparities and support PCPs caring for vulnerable patients with depression.

Linking Primary Care Patients to Mental Health Care via Behavioral Health Social Workers: A Stepped-Wedge Study

OBJECTIVE

Demand for systematic linkage of patients to behavioral health care has increased because of the widespread implementation of depression screening. This study assessed the impact of deploying behavioral health social workers (BHSWs) in primary care on behavioral health visits for depression or anxiety.

METHODS

This quasi-experimental, stepped-wedge study included adults with a primary care visit between 2016 and 2019 at Cleveland Clinic, a large integrated health system. BHSWs were deployed in 40 practices between 2017 and 2019. Patients were allocated to a control group (diagnosed before BHSW deployment) and an intervention group (diagnosed after deployment). Data were collected on behavioral health visits (i.e., to therapists and psychiatrists) within 30 days of the diagnosis. Multilevel logistic regression models identified associations between BHSW deployment period and behavioral health visit, adjusted for demographic variables and clustering within each group.

RESULTS

Of 68,659 persons with a diagnosis, 21% had a depression diagnosis, 49% an anxiety diagnosis, and 31% both diagnoses. In the period after BHSW deployment, the proportion of patients with depression who had a behavioral health visit increased by 10 percentage points, of patients with anxiety by 9 percentage points, and of patients with both disorders by 11 percentage points. The adjusted odds of having a behavioral health visit was higher in the postdeployment period for patients with depression (adjusted odds ratio [AOR]=4.35, 95% confidence interval [CI]=3.50-5.41), anxiety (AOR=4.27, 95% CI=3.57-5.11), and both (AOR= 3.26, 95% CI=2.77-3.84).

CONCLUSIONS

Integration of BHSWs in primary care was associated with increased behavioral health visits.

Equitability of Depression Screening After Implementation of General Adult Screening in Primary Care

IMPORTANCE

Depression is a debilitating and costly medical condition that is often undertreated. Men, racial and ethnic minority individuals, older adults, and those with language barriers are at increased risk for undertreatment of depression. Disparities in screening may contribute to undertreatment.

OBJECTIVE

To examine depression screening rates among populations at risk for undertreatment of depression during and after rollout of general screening.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study from September 1, 2017, to December 31, 2019, of electronic health record data from 52 944 adult patients at 6 University of California, San Francisco, primary care facilities assessed depression screening rates after implementation of a general screening policy. Patients were excluded if they had a baseline diagnosis of depression, bipolar disorder, schizophrenia, schizoaffective disorder, or dementia.

EXPOSURES

Screening year, including rollout (September 1, 2017, to December 31, 2017) and each subsequent calendar year (January 1 to December 31, 2018, and January 1 to December 31, 2019).

MAIN OUTCOMES AND MEASURES

Rates of depression screening performed by medical assistants using the Patient Health Questionnaire-2. Data collected included age, sex, race and ethnicity, and language preference (English vs non-English); to compare English and non-English language preference groups and also assess depression screening by race and ethnicity within the English-speaking group, a single language-race-ethnicity variable with non-English language preference and English language preference categories was created. In multivariable analyses, the likelihood of being screened was evaluated using annual logistic regression models for 2018 and 2019, examining sex, age, language-race-ethnicity, and comorbidities, with adjustment for primary care site.

RESULTS

There were 52 944 unique, eligible patients with 1 or more visits in one of the 6 primary care practices during the entire study period (59% female; mean [SD] age, 48.9 [17.6] years; 178 [0.3%] American Indian/Alaska Native, 13 241 [25.0%] English-speaking Asian, 3588 [6.8%] English-speaking Black/African American, 4744 [9.0%] English-speaking Latino/Latina/Latinx, 760 [1.4%] Pacific Islander, 22 689 [42.9%] English-speaking White, 4857 [9.0%] English-speaking other [including individuals who indicated race and ethnicity as other and individuals for whom race and ethnicity data were missing or unknown], and 2887 [5.5%] with language barriers [non-English language preference]). Depression screening increased from 40.5% at rollout (2017) to 88.8% (2019). In 2018, the likelihood of being screened decreased with increasing age (adusted odds ratio [aOR], 0.89 [95% CI, 0.82-0.98] for ages 45-54 and aOR, 0.75 [95% CI, 0.65-0.85] for ages 75 and older compared with ages 18-30); and, except for Spanish-speaking patients, patients with limited English proficiency were less likely to be screened for depression than English-speaking White patients (Chinese language preference: aOR, 0.59 [95% CI, 0.51-0.67]; other non-English language preference: aOR, 0.55 [95% CI, 0.47-0.64]). By 2019, depression screening had increased dramatically for all at-risk groups, and for most, disparities had disappeared; the odds of screening were only still significantly lower for men compared with women (aOR, 0.87 [95% CI, 0.81 to 0.93]).

CONCLUSIONS AND RELEVANCE

In this cohort study in a large academic health system, full implementation of depression screening was associated with a substantial increase in screening rates among groups at risk for undertreatment of depression. In addition, depression screening disparities narrowed over time for most groups, suggesting that routine depression screening in primary care may reduce screening disparities and improve recognition and appropriate treatment of depression for all patients.

Collaborative Care for Low-Income Patients From Racial-Ethnic Minority Groups in Primary Care: Engagement and Clinical Outcomes

OBJECTIVE

To assess model impact and opportunities for improvement, this study examined collaborative care model (CoCM) engagement and clinical outcomes among low-income patients from racial-ethnic minority groups with depression and anxiety.

METHODS

Starting in 2015, the CoCM was implemented in seven primary care practices of an urban academic medical center serving patients from racial-ethnic minority backgrounds, predominantly Medicaid beneficiaries. Eligible individuals scored positive for depressive or anxiety symptoms (or both) on the Patient Health Questionnaire-2 (PHQ-2) and PHQ-9 and the Generalized Anxiety Disorder Scale-2 (GAD-2) and GAD-7 during systematic screening in primary care settings. Screening rates and yield, patient characteristics, and CoCM engagement and outcomes were examined. Clinical improvement was measured by the difference in PHQ-9 and GAD-7 scores at baseline and at 10-to-14-week follow-up.

RESULTS

High rates of screening (87%, N=88,236 of 101,091) and identification of individuals with depression or anxiety (13%, N=11,886) were observed, and 58% of 3,957 patients who engaged in minimally adequate CoCM treatment had significant clinical improvement. Nevertheless, only 56% of eligible patients engaged in the model, and 25% of those individuals did not return for at least one follow-up appointment. Being female with clinically significant comorbid anxiety and depressive symptoms and having Medicaid or commercial insurance increased the likelihood of CoCM engagement.

CONCLUSIONS

CoCM can help engage vulnerable patients in behavioral health care and improve clinical symptoms. However, significant opportunity exists to advance the model's impact in treating depressive and anxiety disorders and decreasing health disparities by addressing engagement barriers.

Barriers and enablers to screening and diagnosing diabetes distress and depression in people with type 2 diabetes mellitus: A qualitative evidence synthesis

AIM

Synthesise qualitative evidence of healthcare professionals' (HCP) experiences of diabetes distress and depression screening in people with type 2 diabetes (T2DM) in primary care to identify HCP barriers and enablers to screening implementation.

METHODS

Searched six electronic databases in October 2020 for qualitative studies exploring HCPs' experiences of diabetes distress and depression screening in T2DM populations. Applying a best-fit framework synthesis, data were coded to the theoretical domains framework (TDF), followed by thematic analysis of data that did not fit the TDF. Study quality and confidence in findings were assessed using CASP and GRADE-CERQual respectively.

FINDINGS

Of 4942 unique records identified, 10 articles were included. We identified fifteen barriers and enablers in 8 TDF domains and 1 new domain; people with T2DM factors. One barrier (poor awareness about the rationale for screening) and 2 enablers (perceived impacts on T2DM care, receiving financial reimbursement) were assessed as findings of high confidence.

CONCLUSION

HCPs experience many barriers and enablers to diabetes distress and depression screening among people with T2DM in primary care. Future interventions and policies should ensure HCPs understand the rationale for screening, highlight the benefits of screening, resource screening appropriately and address HCP group specific barriers.

A pilot study of participatory and rapid implementation approaches to increase depression screening in primary care

BACKGROUND

Most individuals with depression go unidentified and untreated. In 2016 the US Preventive Services Task Force released guidelines recommending universal screening in primary care to identify patients with depression and to link them to treatment. Feasible, acceptable, and effective strategies to implement these guidelines are needed.

METHODS

This three-phased study employed rapid participatory methods to design and test strategies to increase depression screening at Penn Medicine, a large health system with 90 primary care practices. First, researchers solicited ideas and barriers from stakeholders to increase screening using an innovation tournament-a crowdsourcing method that invites stakeholders to submit ideas to address a workplace challenge. Second, a panel of stakeholders and scientists deliberated over and ranked the tournament ideas. An instant runoff election was held to select the winning idea. Third, the research team piloted the winning idea in a primary care practice using rapid prototyping, an approach that quickly refines and iterates strategy designs.

RESULTS

The innovation tournament yielded 31 ideas and 32 barriers from diverse stakeholders (12 primary care physicians, 10 medical assistants, 4 nurse practitioners, 2 practice managers, and 4 patient support assistants). A panel of 6 stakeholders and scientists deliberated on the ideas and voted for patient self-report (i.e., through tablet computers, text message, or an online patient portal) as the winning idea. The research team rapid prototyped tablets in one primary care practice with one physician over 5 five-hour shifts to examine the feasibility, acceptability, and effectiveness of the strategy. Most patients, the physician, and medical assistants found the tablets acceptable and feasible. However, patient support assistants struggled to incorporate them in their workflow and expressed concerns about scaling up the process. Depression screening rates were higher using tablets compared to usual care; follow-up was comparable between tablets and usual care.

CONCLUSIONS

Rapid participatory methods engaged and amplified the voices of diverse stakeholders in primary care. These methods helped design an acceptable and feasible implementation strategy that showed promise for increasing depression screening in a primary care setting. The next step is to evaluate the strategy in a randomized controlled trial across primary care practices.

Understanding Health Talk in Behavioral Health Encounters: A Qualitative Analysis

Although physical and behavioral health conditions commonly cooccur, best practices making behavioral health treatment responsive to clients' health needs are limited. Particularly little is known about how physical health is addressed by clinicians within routine therapeutic treatment. This study describes the frequency and type of health talk occurring within integrated behavioral health sessions, and explores how this talk functions within ongoing therapeutic work. Participants in this study included 51 dyads of clinical social workers (n = 13) and clients (n = 51) receiving therapy within an integrated community health and behavioral health center. Therapy sessions were recorded and transcribed verbatim. Content analysis determined the frequency and content of health talk in sessions. Thematic analysis was used to understand the function of health talk within these visits. Health talk occurred in 92% (n = 47) of sessions. Clients initiated the majority of discussions. Talk about sleep (40%, n = 19), diet/exercise (35%, n = 16), and chronic health conditions (28%, n = 13) were most common. Health talk either complimented or conflicted with therapeutic work, depending on the topic discussed and when it occurred during session. Health talk changed the scope of therapeutic work by integrating care coordination into routine practice. Health talk was pervasive and was frequently initiated by clients, signaling its relevance to clients' recovery. Providers leveraged heath talk to complement their therapeutic work, but these strategies were not universally applied. Care coordination activities were a part of routine therapy. Practice and policy changes that support a more interdisciplinary approach to clinical work are needed.