Treatment Of Depression In Primary Care Research Articles

Delays in bipolar depression treatment in primary care vs. integrated behavioral health and specialty care

IntroductionWhile bipolar disorder is not uncommon in primary care, collaborative care models for bipolar depression treatment are underdeveloped. Our aim was to compare initial pharmacological treatment patterns for an episode of bipolar depression in different care models, namely primary care (PC), integrated behavioral health (IBH), and mood specialty clinic (SC). MethodsA retrospective study of adults diagnosed with bipolar disorder who received outpatient care in 2020 was completed. Depressive episodes were captured based on DSM-5 criteria, ICD codes, or de novo emergent symptom burden (PHQ-9 ≥ 10). Pharmacological strategies were classified as 1) continuation of current regimen, 2) dose increase or 3) augmentation 4) switch to monotherapy or 5) a combination of more than two different strategies. Logistic regression was applied. ResultsA total of 217 encounters (PC = 32, IBH = 53, SC = 132) representing 186 unique patients were identified. PC was significantly more likely to continue the current regimen, while combination strategies were significantly more likely recommended in IBH and SC. Mood stabilizers were significantly more utilized in IBH and SC. There were no significant group differences in antidepressant use. LimitationsRetrospective study design at a single site. ConclusionsThis study provides evidence of delays in depression care in bipolar disorder. This is the first study to compare treatment recommendations for bipolar depression in different clinical settings. Future studies are encouraged to better understand this gap and to guide future clinical practice, regardless of care model, emphasizing the potential benefits of decision support tools and collaborative care models tailored for bipolar depression.

Telephone support vs. self-guidance in an Internet-based self-administered psychological program for the treatment of depression: Protocol for a hybrid type 1 effectiveness-implementation randomized controlled trial

BackgroundDepression is already the leading psychological disability around the world, impairing daily life, well-being, and social functioning and leading to personal and social costs. Despite the effectiveness of Evidence-Based Psychological Practices (EBPP), a significant percentage of depressive individuals remain untreated, especially in Primary Care (PC) settings in Spain. There are numerous barriers that limit access to EBPPs, including high costs, professional training, and adherence problems. Information and Communication Technologies (ICTs) offer a cost-effective way to disseminate and scale EBPPs to address these barriers. The iCBT program Smiling is Fun has been demonstrated to be a cost-effective treatment for depression in various Randomized Control Trials. However, adherence and implementation problems in real-world settings need to be addressed. Implementation research can help evaluate these challenges by identifying facilitators and barriers to the implementation process in PC. In this regard, including human support has been pointed out as a possible key factor in addressing the population's mental health needs and promoting treatment adherence. ObjectiveThe current study aims to examine the effectiveness, adherence rates, and implementation process of Smiling is Fun to address depression in a PC setting considering the influence of telephone support vs no support. MethodsThe proposed research is a Hybrid Effectiveness-Implementation Type I study, with a two-armed randomized controlled design, which will test a clinical intervention for major depressive disorder while gathering information on its implementation in a real-world setting. The study will include adult patients with mild to moderate symptoms of depression. Participants will be randomly assigned to one of two groups: self-applied psychotherapy or self-applied psychotherapy with psychotherapeutic telephone support. The trial will recruit 110 patient participants, with a loss-to-follow-up rate of 30 %. DiscussionA study protocol for a hybrid effectiveness-implementation study is presented with the aim to assess the implementation of Smiling is Fun for the treatment of depression in PC. The study evaluates the influence of telephone support during a self-administered intervention compared to unguided self-administration. The main goal is to address the barriers and facilitators of the implementation process and to promote treatment adherence. Ultimately, the results of the study could help in the uptake of sustainable resources so that the population could gain better access to psychological interventions in mental health services. RegistrationClinicalTrials.gov; NCT06230237.

Predictors and outcomes in primary depression care (POKAL) – a research training group develops an innovative approach to collaborative care

BackgroundThe interdisciplinary research training group (POKAL) aims to improve care for patients with depression and multimorbidity in primary care.POKAL includes nine projects within the framework of the Chronic Care Model (CCM). In addition, POKAL will train young (mental) health professionals in research competences within primary care settings. POKAL will address specific challenges in diagnosis (reliability of diagnosis, ignoring suicidal risks), in treatment (insufficient patient involvement, highly fragmented care and inappropriate long-time anti-depressive medication) and in implementation of innovations (insufficient guideline adherence, use of irrelevant patient outcomes, ignoring relevant context factors) in primary depression care.MethodsIn 2021 POKAL started with a first group of 16 trainees in general practice (GPs), pharmacy, psychology, public health, informatics, etc. The program is scheduled for at least 6 years, so a second group of trainees starting in 2024 will also have three years of research-time. Experienced principal investigators (PIs) supervise all trainees in their specific projects. All projects refer to the CCM and focus on the diagnostic, therapeutic, and implementation challenges.ResultsThe first cohort of the POKAL research training group will develop and test new depression-specific diagnostics (hermeneutical strategies, predicting models, screening for suicidal ideation), treatment (primary-care based psycho-education, modulating factors in depression monitoring, strategies of de-prescribing) and implementation in primary care (guideline implementation, use of patient-assessed data, identification of relevant context factors). Based on those results the second cohort of trainees and their PIs will run two major trials to proof innovations in primary care-based a) diagnostics and b) treatment for depression.ConclusionThe research and training programme POKAL aims to provide appropriate approaches for depression diagnosis and treatment in primary care.

Association of psychiatric consultant characteristics with clinical outcomes of collaborative care for depression.

Context: Adult depression treatment in primary care is improved by integrated behavioral health such as the Collaborative Care Model (CoCM) but outcomes vary across health centers. Objective: Identify CoCM team factors associated with variation in clinical outcomes. Study Design: Correlative study of survey with linked clinical data from routine care. Setting or Dataset: Primary care health centers in Washington state participating in two CoCM implementation and sustainment initiatives (MHIP and BHIP). Clinical data from the Care Management Tracking System (CMTS) used as part of routine clinical care in all sites. Population studied: CoCM clinical teams and adults diagnosed with depression and receiving care from 31 distinct clinic sites throughout Washington state. Instrument: A survey for CoCM Care Managers was developed based on qualitative work exploring CoCM team function in eight domains: overall team function (OTF), psychiatric consultant (PsyC), relationship with primary care physicians (RPCP), role in the practice (RP), training experience (TE), thoughts on CoCM (TOC), leadership support (LS), and overall experience with CoCM (EXP). Outcome Measures: Depression symptoms (PHQ-9) measured as part of regular clinical care. Clinically significant improvements were defined as ≥50% improvement, last PHQ-9 measured <10, and a last PHQ-9 measured <5 (remission). Results: Data from 59 Care Manager surveys and 2509 patients from 31 clinics showed psychometric evidence for the 8 survey domains. Unadjusted multilevel mixed-effects logistic regression found the PsyC domain was associated (p<0.05) with >50% change in PHQ-9 (OR=1.32, p=0.046), last PHQ-9 <10 (OR=1.34, p=0.009), and last PHQ-9 <5 (OR=1.25, p=0.029). Adjusting simultaneously for both clinic-level and patient-level variables, the PsyC domain was significantly associated with likelihood of patient remission (last PHQ-9 <5; OR=1.22, p=0.031). Conclusions: An instrument to assess perceived functioning of the CoCM team had psychometric support. Perceived characteristics of psychiatric consultants was associated with likelihood of depression remission. Characteristics included interest in teaching, commitment to the site, making efforts to have weekly meetings, and willingness to assist care managers on adjustment of treatment strategies. This study is the first to quantify variation in CoCM team functioning with patient outcomes and can be used to inform training and the use of the CoCM.

The impact of electronic health record functions on patterns of depression treatment in primary care

ABSTRACT Background Many individuals with depression are not being linked to treatment by their primary care providers. Electronic health records (EHRs) are common in medicine, but their impact on depression treatment is mixed. Because EHRs are diverse, differences may be attributable to differences in functionality. This study examines the relationship between EHR functions, and patterns of depression treatment in primary care. Methods secondary analyses from the 2013–2016 National Ambulatory Medical Care Survey examined adult primary care patients with new or acute depression (n = 5,368). Bivariate comparisons examined patterns of depression treatment by general EHR use, and logistic regression examined the impact of individual EHR functions on treatment receipt. Results Half the sample (57%; N = 3,034) was linked to depression treatment. Of this, 98.5% (n = 2,985) were prescribed antidepressants, while 4.3% (n = 130) were linked to mental health. EHR use did not impact mental health linkages, but EHR functions did affect antidepressant prescribing. Medication reconciliation decreased the odds of receiving an antidepressant (OR = .60, p < .05), while contraindication warnings increased the likelihood of an antidepressant prescription (OR = 1.91, p < .001). Conclusions EHR systems did not impact mental health linkages but improved rates of antidepressant prescribing. Optimizing the use of contraindication warnings may be a key mechanism to encourage antidepressant treatment.

Predicting clinically significant response to primary care treatment for depression from electronic health records of veterans

ObjectiveTo reduce delays in referral to specialty mental health care, we evaluated clinical prediction models estimating the likelihood of response to primary care treatment of depression in the VA healthcare system. MethodsWe included patients with a primary care depression diagnosis between October 1, 2015 and December 31, 2017, an initial PHQ-9 score ≥ 10 within 30 days, a follow-up PHQ-9 score within 2-8 months, and no specialty mental health care within three months prior to depression diagnosis. We evaluated eight ordinary least squares regression models, each with a different procedure for selecting predictors of percentage change in PHQ-9 score from baseline to follow-up. Predictors included patient characteristics from electronic health records and neighborhood characteristics from US census data. We repeated each modeling procedure 1,000 times, using different training and validation sets of patients. We used R2, RMSE, and MAE to evaluate model performance. ResultsThe final cohort included 3,464 patients. The two best performing models included multiple iterations of backwards stepwise variable selection with R2 of 0.07, RMSE of 41.45, MAE of 33.30; and R2 of 0.07, RMSE of 41.39, MAE of 33.28. LimitationsWide follow-up interval, possibility of misclassification error due to use of EHR data. ConclusionsModel performance did not suggest its use as a guide in clinical decision-making. Future research should explore whether obtaining additional risk factor data from patients (e.g., duration of symptoms) or modeling PHQ-9 scores over a narrower time interval improves performance of clinical risk prediction tools for depression.

Shared Decision Making in Primary Care Based Depression Treatment: Communication and Decision-Making Preferences Among an Underserved Patient Population.

Objectives: Although depression is a significant public health issue, many individuals experiencing depressive symptoms are not effectively linked to treatment by their primary care provider, with underserved populations have disproportionately lower rates of engagement in depression care. Shared decision making (SDM) is an evidence-based health communication framework that can improve collaboration and optimize treatment for patients, but there is much unknown about how to translate SDM into primary care depression treatment among underserved communities. This study seeks to explore patients' experiences of SDM, and articulate communication and decision-making preferences among an underserved patient population receiving depression treatment in an urban, safety net primary care clinic.Methods: Twenty-seven patients with a depressive disorder completed a brief, quantitative survey and an in-depth semi-structured interview. Surveys measured patient demographics and their subjective experience of SDM. Qualitative interview probed for patients' communication preferences, including ideal decision-making processes around depression care. Interviews were transcribed verbatim and analyzed using thematic analysis. Univariate statistics report quantitative findings.Results: Overall qualitative and quantitative findings indicate high levels of SDM. Stigma related to depression negatively affected patients' initial attitude toward seeking treatment, and underscored the importance of patient-provider rapport. In terms of communication and decision-making preferences, patients preferred collaboration with doctors during the information sharing process, but desired control over the final, decisional outcome. Trust between patients and providers emerged as a critical precondition to effective SDM. Respondents highlighted several provider behaviors that helped facilitated such an optimal environment for SDM to occur.Conclusion: Underserved patients with depression preferred taking an active role in their depression care, but looked for providers as partner in this process. Due to the stigma of depression, effective SDM first requires primary care providers to ensure that they have created a safe and trusting environment where patients are able to discuss their depression openly.

Incorporating family factors into treatment planning for adolescent depression: Perceived parental criticism predicts longitudinal symptom trajectory in the Youth Partners in Care trial

BackgroundThis study aimed to clarify the predictive significance of youth perceptions of parental criticism assessed using a brief measure designed to enhance clinical utility. We hypothesized that high perceived parental criticism would be associated with more severe depression over 18-months of follow-up. MethodsThe study involved secondary analyses from the Youth Partners in Care trial, which demonstrated that a quality improvement intervention aimed at increasing access to evidence-based depression treatment in primary care led to improved depression outcomes at post-treatment compared to usual care enhanced by provider education regarding depression evaluation/management. Patients (N = 418; ages 13–21) were assessed at four time points: baseline; post-treatment (six-month follow-up); 12- and 18-month follow-ups. The primary analysis estimated the effect of perceived parental criticism on likelihood of severe depression (i.e., Center for Epidemiological Studies-Depression Scale ≥ 24) over post-intervention follow-ups using a repeated-measures logistic regression model. Secondarily, a linear mixed-effects growth model examined symptom trajectories from baseline through 18-months using the Mental Health Index-5, a measure of emotional distress available at all time-points. ResultsHigh perceived parental criticism emerged as a robust predictor of clinically-elevated depression (OR=1.66, p=.02) and a more pernicious symptom trajectory over 18-months (β =-1.89, p<.0001). LimitationsThe association between the self-report perceived criticism and traditional expressed emotion measures derived from verbal and nonverbal parental behaviors was not evaluated. ConclusionsResults support perceived parental criticism as a predictor of youth depression outcomes over 18-months. This brief measure can be feasibly integrated within clinical assessment to assist clinicians in optimizing treatment benefits.

Barriers and opportunities for the treatment of mild-to-moderate depression with a watchful waiting approach

ObjectiveThe aim of this study is to explore barriers and opportunities in non-pharmacological treatment of depression in primary care (PC) from the perspective of family physicians (FPs). MethodsQualitative analysis was used to explore a sample of 36 FPs treating patients with depressive symptoms. Criteria to maximize variability were followed. Participants were identified by key informants. Six group interviews were developed following a semi-structured thematic script. All interviews were transcribed, analyzed and triangulated. Information was saturated. Principals of reflexivity and circularity were implemented. ResultsThe results obtained followed 3 main theoretical axes: the FP, the patient, the healthcare system, and the interaction between them. Barriers included poor alignment with clinical practice guidelines, inadequate FP training, patients’ preferences and structural challenges in PC. Among opportunities were good FP clinical interview skills, the beneficial bond of trust between patients and FPs and improved communication with mental healthcare services. ConclusionBased on FPs’ perceptions, non-pharmacological treatment of depression in PC is particularly limited by lack of structured training; patients’ preferences and treatment expectations; structural challenges in PC; and insufficient support from specialized mental health professionals. Practice implicationsResources for education, structural support in PC and modified back up from mental healthcare services are needed.

Collaborative care for primary care treatment of late-life depression in Singapore: Randomized controlled trial.

The effectiveness and portability of the collaborative care model in the primary care treatment of depression has not been demonstrated in many randomized controlled trials in healthcare settings across the world. We determined the effectiveness of collaborative care management of elderly depression in the primary care setting in Singapore. Eligible participants with depressive symptoms were randomized to 6-month duration usual care (UC, N = 112) or collaborative care (CC, N = 102). Outcome measures were HDRS-17, GDS, BDI and SF-12 MCS QOL measured at 3, 6, and 12-month, care satisfaction at 6-month, and also measured on 120 participants who refused referral (non-receipt of care, NC). Primary outcome was HDRS-17 measure of depression severity, response and remission at 6-month. HDRS scores in CC group compared to UC group were reduced more at 6-month (1.5 points difference in change from baseline), and also at 3 and 12-month, with similar observations of differences for GDS and BDI. There was significantly greater improvement for both CC and UC groups compared to NC group. The CC group was about 1.5 times more likely to show HDRS treatment response and remission, and more than two times likely to show GDS treatment response and remission than the UC and NC groups, as well as better quality of life improvement (P < .001) and better care satisfaction (P < .001). Collaborative care is effective for primary care treatment of older persons with depression and is portable in diverse health care settings.

Obesity and Depression in Primary Care - Results from the INTERACT Study

Comorbid mental conditions affect course and outcome of somatic disorders negatively. Therefore, we aimed to determine the prevalence of depressive disorders in primary care patients with obesity. 131 primary care patients with obesity who participated in the baseline assessment of the INTERACT study were regularly interviewed with PHQ-9. The prevalence of depression in obesity was determined. 29 % of patients with obesity had a Major Depression, further 31 % showed subclinical depressive symptoms. The prevalence of depression is highest in patients with obesity level III. Obesity is highly associated with comorbid depression and challenges treatment in primary care.

Development of NAMASTE (New Anxiety Management Algorithm Standardizing Treatment Experience) and Implementation in Primary Care.

Evidence-based depression treatment in primary care is well established. However, clinicians are less likely to be trained to diagnose and treat anxiety disorder, which is frequently comorbid, poses an independent risk for suicidality, and complicates disease management. The University of North Carolina's Internal Medicine Clinic developed a measurement-guided approach to identifying and treating anxiety disorder using the seven-item Generalized Anxiety Disorder Scale, treatment algorithms, medication charts, case-based training for best practices, onsite behavioral counseling, and psychiatric consultation. NAMASTE (new anxiety management algorithm standardizing treatment experience) offers a treatment approach for primary care and addresses a major unmet need in public health and medical education.

Primary Care Providers' Perspectives on Prescribing Antidepressant Medication to Latino Immigrant Patients: A Preliminary Study.

Latinos in the United States are less likely to take antidepressants than non-Latino whites, and more likely to prefer depression treatment in primary care. This preliminary study comprised focus groups (2) with primary care providers (12) serving uninsured immigrant Latinos regarding their experiences prescribing and counseling patients about antidepressants. Barriers and challenges included health literacy, language barriers, and illiteracy; perceived stigma; patients' concerns about addiction, polypharmacy, and adverse effects; time constraints of office visits; and difficulty discussing comorbid posttraumatic stress disorder. Messages providers try to share with patients included allowing time for medications to work, taking medications daily as prescribed, mechanisms of action, weighing risks versus benefits, and flexible options for treatment. Providers' recommendations for improving this process included better low-literacy, culturally appropriate written materials with pictures or videos discussing depression. More research is needed to understand patients' and providers' needs in optimizing counseling about antidepressants, particularly regarding underserved and at-risk US populations.

Prescribing Technology to Increase Uptake of Depression Treatment in Primary Care: A Pre-implementation Focus Group Study of SOVA (Supporting Our Valued Adolescents).

Supporting Our Valued Adolescents (SOVA) is a web-based technology intervention designed to increase depression and anxiety treatment uptake by adolescents in the context of an anonymous peer community with an accompanying website for parents. With a goal of informing the design of a hybrid effectiveness-implementation randomized controlled trial, we conducted a pre-implementation study in two primary care practices to guide implementation strategy development. We conducted focus groups with primary care providers (PCPs) at three different timepoints with PCPs (14 total) from two community practices. A baseline survey was administered using Evidence-Based Practice Attitude Scale (EBPAS) and Physician Belief Scale (PBS). Subsequently, during each focus group, PCPs listened to a relevant presentation after which a facilitated discussion was audio recorded and transcribed. After timepoint 1, a codebook based on Consolidated Framework for Intervention Research (CFIR) and qualitative description were used to summarize findings and inform implementation strategies that were then adapted based on PCP feedback from timepoint 2. PCPs were provided with resources to implement SOVA over 5months and then a third focus group was conducted to gather their feedback. Based on EBPAS and PBS, PCPs are willing to try new evidence-based practices and have positive feelings about taking care of psychosocial problems with some concerns about increased burden. During focus groups, PCPs expressed SOVA has a relative advantage and intuitive appeal, especially due to its potential to overcome stigma and reach adolescents and parents who may not want to talk about mental health concerns with their PCP. PCPs informed various implementation strategies (e.g., advertising to reach a wider audience than the target population; physical patient reminders). During timepoint 3, however, they shared they had a difficult time utilizing these despite their intention. PCPs requested use of champions and others to nudge them and priming of families with advertising, so that the PCP would not be required to initiate recommendation of the intervention, but only offer their strong endorsement when prompted. The process of conducting a pre-implementation study in primary care settings may assist with piloting potential implementation strategies and understanding barriers to their use.Trial registration NCT03318666.

Effectiveness of a brief psychological mindfulness-based intervention for the treatment of depression in primary care: study protocol for a randomized controlled clinical trial

BackgroundDepressive symptoms are quite prevalent in Primary Care (PC) settings. The treatment as usual (TAU) in PC is pharmacotherapy, despite the high relapse rates it produces. Many patients would prefer psychotherapy, but specialized services are overloaded. Studies that apply Mindfulness-Based Interventions (MBIs) for the treatment of depression have obtained significant improvements. Brief low-intensity approaches delivered from PC could be a promising approach. This study aims to compare a low-intensity mindfulness intervention for the treatment of depression in PC using different intervention formats – a face-to-face MBI delivered in a group and the same MBI individually applied on the Internet – to a control group that will receive PC medical treatment as usual.MethodsA randomized controlled clinical trial will be conducted in PC, with about 120 depressed patients allocated (1:1:1) to three groups: “face-to-face MBI + TAU”, “Internet-delivered MBI + TAU”, and “TAU alone”. The MBI programs will be composed of four modules. The primary outcome will be depressive symptoms, measured through the Beck Depression Inventory, assessed at pre- and post-treatment and 6- and 12-month follow-ups. Other outcomes will be mindfulness, happiness, affectivity, quality of life, and the use of healthcare services. Intention-to-treat analysis using linear mixed models adjusted for baseline scores and routine sociodemographic analysis that could show baseline differences will be conducted. Per-protocol secondary outcome analyses will also be performed.DiscussionThis is the first Spanish RCT to apply a low-intensity face-to-face MBI (plus TAU) to treat depression in PC settings compared to TAU (alone). Moreover, this study will also make it possible to evaluate the same MBI program (plus TAU), but Internet-delivered, considering their cost-effectiveness. Positive results from this RCT might have an important impact on mental health settings, helping to decrease the overload of the system and offering treatment alternatives beyond antidepressant medication through high-quality, flexible PC interventions.Trial registrationClinical Trials.gov NCT03034343. Trial Registration date 24 January 2017, retrospectively registered.

The Role of Screening in Depression Diagnosis and Treatment in a Representative Sample of US Primary Care Visits.

Primary care providers encounter a large proportion of the population with depression. Yet, many primary care patients with depression remain undiagnosed and untreated. This study aims to examine depression screening patterns and the role of screening in depression diagnosis and treatment in the outpatient primary care setting. This is a cross-sectional analysis of nationally representative survey data of visits to outpatient physician offices from the 2005 to 2015 National Ambulatory Medical Care Surveys. The sample included the first visit in the past year to a primary care provider by patients 12years and older (N = 16,887). The associations of visit characteristics with depression screening and of depression screening with depression diagnosis and treatment during the visit were assessed using logistic regression. Logistic regression with propensity score weighting was used to estimate the odds of depression diagnosis and treatment under the counterfactual scenario in which patients who visited providers with lower depression screening rates had visited providers with higher screening rates instead. All models were adjusted for patient and visit characteristics. A small proportion of sample visits involved depression screening (3.0%). Visits by patients with depressive symptom complaints were associated with higher odds of depression screening than other visits. When visits were weighted to have similar demographic and clinical characteristics, visits to providers with higher screening rates had higher odds of diagnosis (OR = 1.99, p < 0.001) and treatment (OR = 1.61, p = 0.001) compared to visits to providers with lower screening rates. Physicians appear to use depression screening selectively based on patients' presenting symptoms. Higher screening rates were associated with higher odds of depression diagnosis and treatment, and even modest increases in screening rates could meaningfully increase population-level rates of depression identification and treatment in primary care. Future research is needed to identify barriers to depression care and implement systematic interventions to improve services and patient outcomes.

False Beliefs in Academic Psychiatry: The Case of Antidepressant Drugs

Antidepressant drugs are the mainstay of depression treatment in both primary and specialized mental health care. However, academic psychiatry holds false beliefs about antidepressants and we expose two of them in this essay. First, recent attitude surveys conducted among psychiatrists and general practitioners have revealed that physicians attribute antidepressants’ effects mostly to the drugs’ pharmacologic action and less so to placebo effects. Second, academic psychiatry maintains that physical dependence to antidepressant drugs does not exist and that “discontinuation symptoms” upon stopping maintenance pharmacotherapy are benign and affect only a small minority of antidepressant users. As we review in this essay, these beliefs are at odds with the scientific literature. The largest and most comprehensive meta-analysis of antidepressant trials conducted to date indicates that 88% of the drugs’ treatment outcome is accounted for by placebo effect. Furthermore, physical dependence appears to be a serious issue, as severe and persistent withdrawal reactions affect up to 50% of antidepressant users according to several studies. Correcting false beliefs prevailing in academic psychiatry is needed and has important implications for psychiatric training, continuing medical education, and practice.

Expanding Use of Brief Behavioral Interventions in Collaborative Care

Expanding Use of Brief Behavioral Interventions in Collaborative Care

Integrated Care for Depression in Older Primary Care Patients.

For decades, depression in older adults was overlooked and not treated. Most treatment was by primary care providers and typically poorly managed. Recent interventions that integrate mental health services into primary care have increased the number of patients who are treated for depression and the quality of that treatment. The most effective models involve systematic depression screening and monitoring, multidisciplinary teams that include primary care providers and mental health specialists, a depression care manager to work directly with patients over time and the use of guideline-based depression treatment. The article reviews the challenges and opportunities for providing high-quality depression treatment in primary care; describes the 3 major integrated care interventions, PRISM-E, IMPACT, and PROSPECT; reviews the evidence of their effectiveness, and adaptations of the model for other conditions and settings; and explores strategies to increase their scalability into real world practice.

Sociodemographic inequalities in the management of depression in adults aged 55 and over: an analysis of English primary care data.

We do not know how primary care treatment of depression varies by age across both psychotropic medication and psychological therapies. Cohort study including 19 710 people aged 55+ with GP recorded depression diagnoses and 26 276 people with recorded depression symptoms during the period 2009-2013, from 373 General Practices in The Health Improvement Network (THIN) database in England. Main outcomes were initiation of treatment with anti-depressants, anxiolytics, hypnotics, anti-psychotic drugs, referrals to psychological therapies within 6 months of onset. Treatment rates with antidepressants are high for those recorded with new depression diagnoses (87.1%) or symptoms of depression (58.7%). Treatment in those with depression diagnoses varies little by age. In those with depressive symptoms there was a J-shaped pattern with reduced antidepressant treatment in those in their 60s and 70s followed by increased treatment in the oldest age groups (85+ years), compared with those aged 55-59 years. Other psychotropic drug prescribing (hypnotics/anxiolytics, antipsychotics) all increase with increasing age. Recorded referrals for psychological therapies were low, and decreased steadily with increasing age, such that women aged 75-79 years with depression diagnoses had around six times lower odds of referral (OR 0.17, 95% CI 0.1-0.29) than those aged 55-59 years, and men aged 80-84 years had around seven times lower (OR 0.14, 95% CI 0.05-0.36). The oldest age groups with new depression diagnoses and symptoms have fewer recorded referrals to psychological therapies, and higher psychotropic drug treatment rates in primary care. This suggests potential inequalities in access to psychological therapies.