Screening for Depression in Adults: US Preventive Services Task Force Recommendation Statement

Relationships between adult emotional states and indicators of health care utilization: Findings from the National Health Interview Survey 2006-2014

OBJECTIVE

Adults with serious psychological distress have a high likelihood of mental health problems severe enough to cause serious impairment in social and occupational functioning requiring treatment. These adults visit doctors frequently yet have poor health compared to adults without serious psychological distress. This study examined associations between emotional states of serious psychological distress in relationship to healthcare utilization indicators. A guiding hypothesis was that somatization underlying emotional states contributes to excessive healthcare seeking among adults with serious psychological distress.

METHODS

Using 2006-2014 National Health Interview Survey, in adults with serious psychological distress (n=9271), the six states: unable to make efforts, nervousness, hopelessness, sadness, worthlessness and restlessness were assessed in multivariate models in relation to four healthcare utilization indicators: change in the usual place of healthcare, change due to insurance, having seen a healthcare provider in the last 6months and having 10 or more doctor visits in the last 12months. Models were adjusted for sociodemographic variables, having seen a mental health provider, and health conditions.

RESULTS

Adults feeling unable to make efforts were more likely to seek healthcare in the last 6months and at least ten times in the last twelve months. Adults feeling hopeless were less likely to be heavy healthcare utilizers.

CONCLUSIONS

Predisposing medical conditions do not fully explain healthcare utilization in adults with serious psychological distress. Educating healthcare providers about the emotional states motivating healthcare seeking, and integrating mental healthcare into primary care, may improve the health of adults with serious psychological distress.

Evaluation of the potential antidepressant effects of soybean isoflavones

OBJECTIVE

The aim of the study was to determine whether isoflavones affect depressive symptoms in women.

METHODS

Literature searches were conducted to identify clinical and epidemiologic studies that evaluated the impact of soy intake and isoflavone exposure on depressive symptoms. References from identified studies were also evaluated to identify eligible studies.

RESULTS

Only limited epidemiologic research has evaluated the impact of soy or isoflavone intake on depression although several studies from China and Japan did find soy product intake was inversely related to risk of depression. Often times, soy was, however, evaluated only as a component of a summative dietary pattern (eg, a "Japanese" or "Healthy" diet). Of the 20 intervention studies identified, roughly half found statistically significant reductions in depressive symptoms in response to isoflavones although several had design weakness. Of those studies reporting a lack of antidepressant effects of isoflavones, design limitations likely contributed to the lack of efficacy. In all but two trials, assessment of depression was, however, a secondary outcome. It is notable that both trials in which depression was a primary outcome found isoflavones significantly improved symptoms.

CONCLUSIONS

Although the data are inconsistent and limited, the clinical and epidemiologic evidence suggests that isoflavones may offer a safe, well-tolerated option for management of depression. Furthermore, the intervention doses used in the clinical studies fall well within the dietary range. The extant literature reveals key design features for future studies, which based upon the results of this review, are clearly warranted.

Selective serotonin reuptake inhibitors for depression in pregnancy

Perinatal depression is associated with a high risk of morbidity and mortality and may have long-term consequences on child development. The US Preventive Services Task Force has recently recognized the importance of identifying and treating women with depression in the perinatal period. However, screening and accessing appropriate treatment come with logistical challenges. In many areas, there may not be sufficient access to psychiatric care, and, until these resources develop, the burden may inadvertently fall on obstetricians. As a result, understanding the risks of perinatal depression in comparison with the risks of treatment is important. Many studies of selective serotonin reuptake inhibitors in pregnancy fail to control for underlying depressive illness, which can lead to misinterpretation of selective serotonin reuptake inhibitor risk by clinicians. This review discusses the risks and benefits of selective serotonin reuptake inhibitor treatment in pregnancy within the context of perinatal depression. Whereas selective serotonin reuptake inhibitors may be associated with certain risks, the absolute risks are low and may be outweighed by the risks of untreated depression for many women and their offspring.

Reporting quality in abstracts of meta-analyses of depression screening tool accuracy: a review of systematic reviews and meta-analyses

OBJECTIVE

Concerns have been raised regarding the quality and completeness of abstract reporting in evidence reviews, but this had not been evaluated in meta-analyses of diagnostic accuracy. Our objective was to evaluate reporting quality and completeness in abstracts of systematic reviews with meta-analyses of depression screening tool accuracy, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for Abstracts tool.

DESIGN

Cross-sectional study.

INCLUSION CRITERIA

We searched MEDLINE and PsycINFO from 1 January 2005 through 13 March 2016 for recent systematic reviews with meta-analyses in any language that compared a depression screening tool to a diagnosis based on clinical or validated diagnostic interview.

DATA EXTRACTION

Two reviewers independently assessed quality and completeness of abstract reporting using the PRISMA for Abstracts tool with appropriate adaptations made for studies of diagnostic test accuracy. Bivariate associations of number of PRISMA for Abstracts items complied with (1) journal abstract word limit and (2) A Measurement Tool to Assess Systematic Reviews (AMSTAR) scores of meta-analyses were also assessed.

RESULTS

We identified 21 eligible meta-analyses. Only two of 21 included meta-analyses complied with at least half of adapted PRISMA for Abstracts items. The majority met criteria for reporting an appropriate title (95%), result interpretation (95%) and synthesis of results (76%). Meta-analyses less consistently reported databases searched (43%), associated search dates (33%) and strengths and limitations of evidence (19%). Most meta-analyses did not adequately report a clinically meaningful description of outcomes (14%), risk of bias (14%), included study characteristics (10%), study eligibility criteria (5%), registration information (5%), clear objectives (0%), report eligibility criteria (0%) or funding (0%). Overall meta-analyses quality scores were significantly associated with the number of PRISMA for Abstracts scores items reported adequately (r=0.45).

CONCLUSIONS

Quality and completeness of reporting were found to be suboptimal. Journal editors should endorse PRISMA for Abstracts and allow for flexibility in abstract word counts to improve quality of abstracts.

Response to depression treatment in the Aging Brain Care Medical Home model

Objective

To evaluate the effect of the Aging Brain Care (ABC) Medical Home program’s depression module on patients’ depression severity measurement over time.

Design

Retrospective chart review.

Setting

Public hospital system.

Participants

Patients enrolled in the ABC Medical Home program between October 1, 2012 and March 31, 2014.

Methods

The response of 773 enrolled patients who had multiple patient health questionnaire-9 (PHQ-9) scores recorded in the ABC Medical Home program’s depression care protocol was evaluated. Repeatedly measured PHQ-9 change scores were the dependent variables in the mixed effects models, and demographic and comorbid medical conditions were tested as potential independent variables while including random effects for time and intercept.

Results

Among those patients with baseline PHQ-9 scores >10, there was a significant decrease in PHQ-9 scores over time (P<0.001); however, the effect differed by gender (P=0.015). On average, women’s scores (4.5 point drop at 1 month) improved faster than men’s scores (1 point drop at 1 month). Moreover, both men and women had a predicted drop of 7 points (>50% decline from baseline) on the PHQ-9 at 6 months.

Conclusion

These analyses demonstrate evidence for the sustained effectiveness of the ABC Medical Home program at inducing depression remission outcomes while employing clinical staff who required less formal training than earlier clinical trials.

Depression and catastrophizing predict suicidal ideation in tertiary care patients with interstitial cystitis/bladder pain syndrome

INTRODUCTION

We sought to evaluate psychosocial factors as predictors of suicidal ideation (SI) in a tertiary care outpatient sample of women suffering from interstitial cystitis/bladder pain syndrome (IC/BPS).

METHODS

The patients are women managed at tertiary care centres (n=190). Controls were recruited from the community (n=117). Both groups completed questionnaires on demographics, pain (McGill Pain Questionnaire), IC/BPS symptoms, and psychological variables. Univariate and multivariate hierarchical regression modelling was conducted to examine the strength of associations and unique effects of psychosocial variables on patient SI.

RESULTS

Compared to 6% in healthy controls, 23% of patients endorsed SI in the past two weeks. Correlations between SI, depression, and catastrophizing across controls and cases show that for controls, SI is associated with greater pain (0.31; p<0.01) and depression only (0.59; p<0.01). For tertiary care centre cases, SI is associated with pain (0.24; p<0.01), depression (0.64; p<0.01), and catastrophizing (0.35; p<0.01). Regression analyses indicated that psychosocial variables accounted for a significant amount of variance over and above IC/BPS symptoms. Catastrophizing (i.e., helplessness) about pain and depression were significant univariate predictors of SI, but only depression predicted SI in multivariable analyses.

CONCLUSIONS

Limitations of this study include its cross-sectional design and primarily correlation-based statistics. The present study is the first to implicate multiple psychosocial risk factors over and above IC/BPS-specific symptoms and patient pain experience in SI in women with IC/BPS. Depression in particular is uniquely important in predicting suicidality. These results support a multidisciplinary, proactive approach to IC/BPS involving not only treatment of disease symptoms, but also early detection/treatment of associated psychosocial problems.

Analysis of depression trajectory patterns using collaborative learning

BACKGROUND

Depression is a common, complex, and dynamic mental disorder. Mitigating depression has become a national health priority as it affects 1 out of 10 American adults and is the most common mental illness seen in primary care. The emerging use of electronic health record (EHR) provides an unprecedented information infrastructure to understand depression trajectories.

OBJECTIVE

We aim to effectively analyze patterns in the collected depression trajectories of a treatment population and compare several methods to predict individual trajectories for monitoring treatment outcomes.

METHODS

Our data includes longitudinal Patient Health Questionnaire (PHQ)-9 scores over 4 years for assessing depression severity from the Mental Health Research Network. We analyzed > 3,000 patients with at least six PHQ-9 observations who have ongoing treatment. We used smoothing splines to model individual depression trajectories. We then used K-means clustering and collaborative modeling (CM) to identify subgroup patterns. We further predicted the individuals' PHQ-9 scores based on depression trajectories learnt from individual growth model (IGM), mixed effect model (MEM), CM, and similarity-based CM (SCM), and compared their predictive performances.

RESULTS

We found five broad trajectory patterns in the ongoing treatment population: stable high, stable low, fluctuating moderate, an increasing and a decreasing group. For prediction, the root mean square error (rMSE) in the testing set for IGM, MEM, CM, and SCM are 12.53, 5.91, 5.18, and 3.21.

LIMITATIONS

Our EHR data provide limited information on patients' demographic, socioeconomic, and other clinical factors that may be relevant to improve model performances.

CONCLUSION

We established a trajectory-based framework for depression assessment and prognosis that is adaptable to model population heterogeneity using EHR data. Collaborative modeling outperformed other established methods.

Maintaining mental health and function for the long run in cystic fibrosis

Research shows that individuals with cystic fibrosis (CF) and their families experience significant emotional morbidity. In addition to distress, worry, and grief, high rates of clinically significant symptoms of depression and anxiety have been found in both individuals with CF and parents. These disorders have a major impact on the person's functioning, and that of their family, and adversely impact the capacity to cope with the burden of CF and adhere to prescribed treatments. Despite growing recognition that mental health care is an essential component of comprehensive CF care, evidence suggests many patients and their families do not receive needed support and mental health interventions. Clinical practice guidelines for screening and treating depression and anxiety in individuals with CF have been developed by The Cystic Fibrosis Foundation and the European Cystic Fibrosis Society in response to this need. This review highlights that the optimum care for individuals with CF and their families incorporates mental health in routine CF care. Addressing mental health could substantially improve physical and mental health outcomes and the functioning of individuals with CF and their families. Pediatr Pulmonol. 2016;51:S71-S78. © 2016 Wiley Periodicals, Inc.

U.S. Preventive Services Task Force Approach to Child Cognitive and Behavioral Health

An important component of routine preventive care for children is the monitoring of growth and development. Although cognitive, affective, and behavioral health problems are commonly encountered in pediatric primary care, there is debate around issues related to early detection of significant problems of this type, including the accuracy of screening and the benefits and harms of early diagnosis and treatment. The U.S. Preventive Services Task Force makes recommendations regarding clinical preventive services for primary care clinicians based on the best available scientific evidence. The Task Force has found important gaps related to the validity of commonly used screening tools and significant gaps related to the evidence regarding early treatment. This review describes the meaning of the grades used by the Task Force, how these grades are determined, and the grades assigned to childhood cognitive, affective, and behavioral health recommendations. The review summarizes common themes in the evidence gaps and the future research necessary to advance the field and improve child health outcomes.

The experience of depression, anxiety, and mania among perinatal women

We assessed differential item functioning (DIF) based on computerized adaptive testing (CAT) to examine how perinatal mood disorders differ from adult psychiatric disorders. The CAT-Mental Health (CAT-MH) was administered to 1614 adult psychiatric outpatients and 419 perinatal women with IRB approval. We examined individual item-level differences using logistic regression and overall score differences by scoring the perinatal data using the original bifactor model calibration based on the psychiatric sample data and a new bifactor model calibration based on the perinatal data and computing their correlation. To examine convergent validity, we computed correlations of the CAT-MH with contemporaneously administered Edinburgh Postnatal Depression Scales (EPDS). The rate of major depression in the perinatal sample was 13 %. Rates of anxiety, mania, and suicide risk were 5, 6, and 0.4 %, respectively. One of 66 depression items, one of 69 anxiety items, and 15 of 53 mania items exhibited DIF (i.e., failure to discriminate between high and low levels of the disorder) in the perinatal sample based on the psychiatric sample calibration. Removal of these items resulted in correlations of the original and perinatal calibrations of r = 0.983 for depression, r = 0.986 for anxiety, and r = 0.932 for mania. The 91.3 % of cases were concordantly categorized as either "at-risk" or "low-risk" between the EPDS and the perinatal calibration of the CAT-MH. There was little evidence of DIF for depression and anxiety symptoms in perinatal women. This was not true for mania. Now calibrated for perinatal women, the CAT-MH can be evaluated for longitudinal symptom monitoring.

The relationship between mobile phone location sensor data and depressive symptom severity

Background

Smartphones offer the hope that depression can be detected using passively collected data from the phone sensors. The aim of this study was to replicate and extend previous work using geographic location (GPS) sensors to identify depressive symptom severity.

Methods

We used a dataset collected from 48 college students over a 10-week period, which included GPS phone sensor data and the Patient Health Questionnaire 9-item (PHQ-9) to evaluate depressive symptom severity at baseline and end-of-study. GPS features were calculated over the entire study, for weekdays and weekends, and in 2-week blocks.

Results

The results of this study replicated our previous findings that a number of GPS features, including location variance, entropy, and circadian movement, were significantly correlated with PHQ-9 scores (r’s ranging from −0.43 to −0.46, p-values <  .05). We also found that these relationships were stronger when GPS features were calculated from weekend, compared to weekday, data. Although the correlation between baseline PHQ-9 scores with 2-week GPS features diminished as we moved further from baseline, correlations with the end-of-study scores remained significant regardless of the time point used to calculate the features.

Discussion

Our findings were consistent with past research demonstrating that GPS features may be an important and reliable predictor of depressive symptom severity. The varying strength of these relationships on weekends and weekdays suggests the role of weekend/weekday as a moderating variable. The finding that GPS features predict depressive symptom severity up to 10 weeks prior to assessment suggests that GPS features may have the potential as early warning signals of depression.

Postpartum Depressive Symptoms Following Consecutive Pregnancies: Stability, Change, and Mechanisms

Postpartum depression is a major mental health issue for women and society. We examined stability and change in symptoms of depression over two consecutive pregnancies and tested life stress as a potential mechanism. The Community Child Health Network followed an ethnically/racially diverse sample from one month after a birth for two years. A subset of 228 women had a second birth. Interview measures of depression symptoms (EPDS) and life stress (life events, perceived stress, chronic stress, interpersonal aggression) were obtained during home visits. Three-quarters of the sample showed intra-individual stability in depressive symptoms from one postpartum period to the next, and 24% of the sample had clinically significant symptoms after at least one pregnancy (9% first, 7.5% second, 3.5% both). Each of the four life stressors significantly mediated the association between depressive symptoms across two postpartum periods. Stress between pregnancies for women may be an important mechanism perpetuating postpartum depression.

Paternal depression during pregnancy and postpartum: An international Delphi study

BACKGROUND

Fathers are at risk for depression during a mother's gestation and postpartum. Assessment, detection, and treatment are hampered by the lack of consensus on this issue. The purpose of this study was to reach expert consensus through the Delphi method on the defining factors of depression in peripartum fathers.

METHODS

Purposive sampling resulted in the surveying of 14 international expert panelists. The study used a modified Delphi approach in which experts participated in two rounds of open-ended and scale questionnaires, followed by two rounds of opportunities to adjust their responses and/or comment on evolving data until consensus was achieved.

RESULTS

Experts responded to 10 questions on terminology, diagnostics, symptomology, risk/protective factors, biological factors, assessment tools/protocol, cost implications, and key stakeholders. Of these 10 questions presented for discussion, the analysis resulted in 197 coded themes. Consensus was met for 119 of the 197 coded responses (60.41%).

LIMITATIONS

Diversity of opinion within this Delphi Study was excluded for the sake of consensus. Regression to the mean may have occurred after continuous surveying and when evolving results were shared with panelists. Critics of Delphi methodologies have pointed to the issue of small expert samples typically used and the subjectivity of "expert."

CONCLUSION

Consensus identified diagnostic criteria and symptomology that differentiates the paternal experience of peripartum depression. Experts indicated the importance of a father's social context, biological risk factors, limitations of current assessment tools, key stakeholders, and potential financial costs. Stakeholders on this issue would benefit from translating consensus into assessment and treatment.

Casting a wider net in behavioral health screening in primary care: a preliminary study of the Outcome Rating Scale

Introduction The integration of behavioral health services into primary care has led to enhanced use of brief screening measures to identify mental health problems. Although useful, such instruments are largely symptom based and diagnosis specific. This narrow focus can potentially limit the identification of broader social or relational distress in patients that affect medical outcomes, as well as present feasibility challenges using a multi-measure approach in identifying mental health comorbidities.

METHOD

This exploratory study of adult primary care patients compared an ultra-brief, and widely used measure of global distress across life functioning, the Outcome Rating Scale (ORS), with the Patient Health Questionnaire (PHQ-9 and PHQ-2).

RESULTS

Correlations between the ORS and the PHQ-9 and PHQ-2 indicated agreement between the measures in classifying patients, and the ORS identified significantly more patients in the clinical range. Discussion Although results are preliminary, the ORS may cast a wider net in identifying patients with significant distress in primary care.

Canadian Network for Mood and Anxiety Treatments (CANMAT) 2016 Clinical Guidelines for the Management of Adults with Major Depressive Disorder: Section 1. Disease Burden and Principles of Care

BACKGROUND

The Canadian Network for Mood and Anxiety Treatments (CANMAT) conducted a revision of the 2009 guidelines by updating the evidence and recommendations. The scope of the 2016 guidelines remains the management of major depressive disorder (MDD) in adults, with a target audience of psychiatrists and other mental health professionals.

METHODS

Using the question-answer format, we conducted a systematic literature search focusing on systematic reviews and meta-analyses. Evidence was graded using CANMAT-defined criteria for level of evidence. Recommendations for lines of treatment were based on the quality of evidence and clinical expert consensus. This section is the first of six guidelines articles.

RESULTS

In Canada, the annual and lifetime prevalence of MDD was 4.7% and 11.3%, respectively. MDD represents the second leading cause of global disability, with high occupational and economic impact mainly attributable to indirect costs. DSM-5 criteria for depressive disorders remain relatively unchanged, but other clinical dimensions (sleep, cognition, physical symptoms) may have implications for depression management. e-Mental health is increasingly used to support clinical and self-management of MDD. In the 2-phase (acute and maintenance) treatment model, specific goals address symptom remission, functional recovery, improved quality of life, and prevention of recurrence.

CONCLUSIONS

The burden attributed to MDD remains high, whether from individual distress, functional and relationship impairment, reduced quality of life, or societal economic cost. Applying core principles of care, including comprehensive assessment, therapeutic alliance, support of self-management, evidence-informed treatment, and measurement-based care, will optimize clinical, quality of life, and functional outcomes in MDD.

Diagnostic performance of major depression disorder case-finding instruments used among mothers of young children in the United States: A systematic review

INTRODUCTION

Growing recognition of the interrelated negative outcomes associated with major depression disorder (MDD) among mothers and their children has led to renewed public health interest in the early identification and treatment of maternal MDD. Healthcare providers, however, remain unsure of the validity of existing case-finding instruments. We conducted a systematic review to identify the most valid maternal MDD case-finding instrument used in the United States.

METHODS

We identified articles reporting the sensitivity and specificity of MDD case-finding instruments based on Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) by systematically searching through three electronic bibliographic databases, PubMed, PsycINFO, and EMBASE, from 1994 to 2014. Study eligibility and quality were evaluated using the Standards for the Reporting of Diagnostic Accuracy studies and Quality Assessment of Diagnostic Accuracy Studies guidelines respectively.

RESULTS

Overall, we retrieved 996 unduplicated articles and selected 74 for full-text review. Of these, 14 articles examining 21 different instruments were included in the systematic review. The 10 item Edinburgh Postnatal Depression Scale and Postpartum Depression Screening Scale had the most stable (lowest variation) and highest diagnostic performance during the antepartum and postpartum periods (sensitivity range: 0.63-0.94 and 0.67-0.95; specificity range: 0.83-0.98 and 0.68-0.97 respectively). Greater variation in diagnostic performance was observed among studies with higher MDD prevalence.

LIMITATION

Factors that explain greater variation in instrument diagnostic performance in study populations with higher MDD prevalence were not examined.

DISCUSSION

Findings suggest that the diagnostic performance of maternal MDD case-finding instruments is peripartum period-specific.

Depression Screening in Diabetes Care to Improve Outcomes

Purpose

Evidence-based guidelines recommend regular depression screening among individuals with type 2 diabetes mellitus (T2DM). The purpose of this study is to examine depression screening patterns among a primary care population with T2DM, through use of the Patient Health Questionnaire-9 (PHQ-9).

Methods

In total, 1817 patients with T2DM were analyzed through a retrospective observational study at 2 sites, a regional health center and a federally qualified health center (FQHC). The T2DM sample was divided into those with and without a major depressive disorder (MDD) diagnosis. Depression screening rates and depression severity were assessed through the PHQ-9.

Results

Both sites had higher rates of PHQ-9 screening among individuals with a history of MDD (64.82%) vs those without MDD (11.39%). Individuals from the FQHC without a history of depression had a higher mean PHQ-9 score (10.11) than those with a previous MDD diagnosis at both RHS and FQHC (7.16 and 9.85, respectively).

Conclusions

Depression screening rates among individuals with diabetes and no history of MDD were remarkably low. Patients with diabetes but no MDD diagnosis who sought health care at a FQHC clinic had more depressive symptoms than those with a history of MDD at both sites. Individuals with diabetes and who have a MDD diagnosis are much more likely to receive regular depression screening than those without MDD, which leaves a substantial proportion of patients with undetected depression. Depression screening must be enhanced for all individuals with diabetes, particularly for low-income individuals and those without a previous diagnosis of MDD.

Pre-surgical depression and anxiety and recovery following coronary artery bypass graft surgery

We aimed to explore the combined contribution of pre-surgical depression and anxiety symptoms for recovery following coronary artery bypass graft (CABG) using data from 251 participants. Participants were assessed prior to surgery for depression and anxiety symptoms and followed up at 12 months to assess pain and physical symptoms, while hospital emergency admissions and death/major adverse cardiac events (MACE) were monitored on average 2.68 years after CABG. After controlling for covariates, baseline anxiety symptoms, but not depression, were associated with greater pain (β = 0.231, p = 0.014) and greater physical symptoms (β = 0.194, p = 0.034) 12 months after surgery. On the other hand, after controlling for covariates, baseline depression symptoms, but not anxiety, were associated with greater odds of having an emergency admission (OR 1.088, CI 1.010–1.171, p = 0.027) and greater hazard of death/MACE (HR 1.137, CI 1.042–1.240, p = 0.004). These findings point to different pathways linking mood symptoms with recovery after CABG surgery.

Depression screening for prescribed medications with mental health risk: Considerations for clinical decision support, workflow redesign, and health information exchange arrangements

OBJECTIVE

Depression screening should be increased when prevailing knowledge underscoring medication-associated mental health risk is highest. Depression screening in primary care practices when medications with mental health risk were prescribed was estimated while considering the absence and presence of clinical decision support systems.

MATERIALS AND METHODS

A cross-sectional, descriptive study using the National Ambulatory Medical Care Survey (NAMCS) data from 2008 to 2010 was conducted. Primary care physician visits were classified based on whether a medication prescribed had a contraindication, severe warning, moderate warning, adverse event only, or no documented mental health risk. Adjusted odds of depression screening for each risk warning level were estimated while controlling for important sociodemographic factors and presence of computerized systems for medication warnings and guideline recommendations.

RESULTS

Depression screening at primary care practice visits when medications were prescribed was 2.1% and increased to 2.8% or higher when medications had a moderate or severe mental health risk warning or medication-disease contraindication. Depression screening was increased at visits when at least one medication was prescribed that had a contraindication (AOR = 6.31, P < 0.001), severe warning (AOR = 2.04, P = 0.003), or moderate warning (AOR = 2.50, P = 0.012) for mental health risk, but not for mental health adverse event only warnings alone (AOR = 1.54, P = 0.074).

DISCUSSION

Depression screening is increased when medications were prescribed with a documented mental health risk. Presence of clinical decision support systems may help discern between minor and major medication-associated mental health risks.

CONCLUSIONS

Appropriately, positioned warning systems with targeted content, workflow redesign, and health information exchange may improve depression screening in at-risk patients.

Routine primary care screening for intimate partner violence and other adverse psychosocial exposures: what's the evidence?

BACKGROUND

Family physicians and other primary care practitioners are encouraged or expected to screen for an expanding array of concerns and problems including intimate partner violence (IPV). While there is no debate about the deleterious impact of violence and other adverse psychosocial exposures on health status, the key question raised here is about the value of routine screening in primary care for such exposures.

DISCUSSION

Several characteristics of IPV have led to consideration for routine IPV screening in primary care and during other healthcare encounters (e.g., emergency room visits) including: its high prevalence, concern that it may not be raised spontaneously if not prompted, and the burden of suffering associated with this exposure. Despite these factors, there are now three randomized controlled trials showing that screening does not reduce IPV or improve health outcomes. Yet, recommendations to routinely screen for IPV persist. Similarly, adverse childhood experiences (ACEs) have several characteristics (e.g., high frequency, predictive power of such experiences for subsequent health problems, and concerns that they might not be identified without screening) suggesting they too should be considered for routine primary care screening. However, demonstration of strong associations with health outcomes, and even causality, do not necessarily translate into the benefits of routine screening for such experiences. To date, there have been no controlled trials examining the impact and outcomes - either beneficial or harmful - of routine ACEs screening. Even so, there is an expansion of calls for routine screening for ACEs. While we must prioritize how best to support and intervene with patients who have experienced IPV and other adverse psychosocial exposures, we should not be lulled into a false sense of security that our routine use of "screeners" results in better health outcomes or less violence without evidence for such. Decisions about implementation of routine screening for psychosocial concerns need similar rigorous debate and scrutiny of empirical evidence as that recommended for proposed physical health screening (e.g., for prostate and breast cancer).

Seeking an objective diagnosis of depression

Major depressive disorder (MDD: unipolar depression) is widely distributed in the USA and world-wide populations and it is one of the leading causes of disability in both adolescents and adults. Traditional diagnostic approaches for MDD are based on patient interviews, which provide a subjective assessment of clinical symptoms which are frequently shared with other maladies. Reliance upon clinical assessments and patient interviews for diagnosing MDD is frequently associated with misdiagnosis and suboptimal treatment outcomes. As such, there is increasing interest in the identification of objective methods for the diagnosis of depression. Newer technologies from genomics, transcriptomics, proteomics, metabolomics and imaging are technically sophisticated and objective but their application to diagnostic tests in psychiatry is still emerging. This brief overview evaluates the technical basis for these technologies and discusses how the extension of their clinical performance can lead to an objective diagnosis of MDD.

Reporting completeness and transparency of meta-analyses of depression screening tool accuracy: A comparison of meta-analyses published before and after the PRISMA statement

OBJECTIVE

Meta-analyses that are conducted rigorously and reported completely and transparently can provide accurate evidence to inform the best possible healthcare decisions. Guideline makers have raised concerns about the utility of existing evidence on the diagnostic accuracy of depression screening tools. The objective of our study was to evaluate the transparency and completeness of reporting in meta-analyses of the diagnostic accuracy of depression screening tools using the PRISMA tool adapted for diagnostic test accuracy meta-analyses.

METHODS

We searched MEDLINE and PsycINFO from January 1, 2005 through March 13, 2016 for recent meta-analyses in any language on the diagnostic accuracy of depression screening tools. Two reviewers independently assessed the transparency in reporting using the PRISMA tool with appropriate adaptations made for studies of diagnostic test accuracy.

RESULTS

We identified 21 eligible meta-analyses. Twelve of 21 meta-analyses complied with at least 50% of adapted PRISMA items. Of 30 adapted PRISMA items, 11 were fulfilled by ≥80% of included meta-analyses, 3 by 50-79% of meta-analyses, 7 by 25-45% of meta-analyses, and 9 by <25%. On average, post-PRISMA meta-analyses complied with 17 of 30 items compared to 13 of 30 items pre-PRISMA.

CONCLUSIONS

Deficiencies in the transparency of reporting in meta-analyses of the diagnostic test accuracy of depression screening tools of meta-analyses were identified. Authors, reviewers, and editors should adhere to the PRISMA statement to improve the reporting of meta-analyses of the diagnostic accuracy of depression screening tools.

Rationale and study protocol for a multi-component Health Information Technology (HIT) screening tool for depression and post-traumatic stress disorder in the primary care setting

The prevalence rate of depression in primary care is high. Primary care providers serve as the initial point of contact for the majority of patients with depression, yet, approximately 50% of cases remain unrecognized. The under-diagnosis of depression may be further exacerbated in limited English-language proficient (LEP) populations. Language barriers may result in less discussion of patients' mental health needs and fewer referrals to mental health services, particularly given competing priorities of other medical conditions and providers' time pressures. Recent advances in Health Information Technology (HIT) may facilitate novel ways to screen for depression and other mental health disorders in LEP populations. The purpose of this paper is to describe the rationale and protocol of a clustered randomized controlled trial that will test the effectiveness of an HIT intervention that provides a multi-component approach to delivering culturally competent, mental health care in the primary care setting. The HIT intervention has four components: 1) web-based provider training, 2) multimedia electronic screening of depression and PTSD in the patients' primary language, 3) Computer generated risk assessment scores delivered directly to the provider, and 4) clinical decision support. The outcomes of the study include assessing the potential of the HIT intervention to improve screening rates, clinical detection, provider initiation of treatment, and patient outcomes for depression and post-traumatic stress disorder (PTSD) among LEP Cambodian refugees who experienced war atrocities and trauma during the Khmer Rouge. This technology has the potential to be adapted to any LEP population in order to facilitate mental health screening and treatment in the primary care setting.

Recent Advances and Controversies in Peripartum Depression

PURPOSE OF REVIEW

The purpose of this review is to update readers on recent controversies and findings on the underlying biology and clinical management of peripartum depression.

RECENT FINDINGS

Topics discussed include the discovery and replication of two epigenetic biomarkers of peripartum depression, two well controlled studies that do NOT find associations between in utero antidepressant exposure and cardiac defects and persistent pulmonary hypertension of the newborn and ongoing controversy on whether antidepressant use during pregnancy prevents peripartum depression and whether or not hormonal treatments have a place in the management of postpartum depression.

SUMMARY

Peripartum depression, or depression during and/or immediately following pregnancy is a unique psychiatric illness that not only may have unique biological underpinnings but demands unique and thoughtful approaches to management due to the developing neonate. A number of controversies exist in this area ranging from the recent terminology change in psychiatry's Diagnostic and Statistical Manual from "postpartum" to "peripartum" depression, to the safety of antidepressant use during pregnancy, to whether or not antidepressants prevent or decrease peripartum depression. Research in this area is growing and a number of exciting developments have occurred including the identification of two epigenetic biomarkers of peripartum depression that may eventually lead to early identification and intervention, the potential for hormonal treatments and the recommendation for and early institution of universal screening for peripartum depression. These topics are explored and put into context from a clinical management perspective.

A Stepwise Psychotherapy Intervention for Reducing Risk in Coronary Artery Disease (SPIRR-CAD): Results of an Observer-Blinded, Multicenter, Randomized Trial in Depressed Patients With Coronary Artery Disease

BACKGROUND

Depression predicts adverse prognosis in patients with coronary artery disease (CAD), but previous treatment trials yielded mixed results. We tested the hypothesis that stepwise psychotherapy improves depressive symptoms more than simple information.

METHODS

In a multicenter trial, we randomized 570 CAD patients scoring higher than 7 on the Hospital Anxiety and Depression Scale-depression subscale to usual care plus either one information session (UC-IS) or stepwise psychotherapy (UC-PT). UC-PT patients received three individual psychotherapy sessions. Those still depressed were offered group psychotherapy (25 sessions). The primary outcome was changed in the Hospital Anxiety and Depression Scale-depression scores from baseline to 18 months. Preplanned subgroup analyses examined whether treatment responses differed by patients' sex and personality factors (Type D).

RESULTS

The mean (standard deviation) depression scores declined from 10.4 (2.5) to 8.7 (4.1) at 18 months in UC-PT and from 10.4 (2.5) to 8.9 (3.9) in UC-IS (both p < .001). There was no significant group difference in change of depressive symptoms (group-by-time effect, p = .90). Preplanned subgroup analyses revealed no differences in treatment effects between men versus women (ptreatment-by-sex interaction = .799) but a significant treatment-by-Type D interaction on change in depressive symptoms (p = .026) with a trend for stronger improvement with UC-PT than UC-IS in Type D patients (n = 341, p = .057) and no such difference in improvement in patients without Type D (n = 227, p = .54).

CONCLUSIONS

Stepwise psychotherapy failed to improve depressive symptoms in CAD patients more than UC-IS. The intervention might be beneficial for depressed CAD patients with Type D personality. However, this finding requires further study.

TRIAL REGISTRATION

www.clinicaltrials.gov NCT00705965; www.isrctn.com ISRCTN76240576.

Does a Mobile Phone Depression-Screening App Motivate Mobile Phone Users With High Depressive Symptoms to Seek a Health Care Professional's Help?

Background

The objective of disease screening is to encourage high-risk subjects to seek health care diagnosis and treatment. Mobile phone apps can effectively screen mental health conditions, including depression. However, it is not known how effective such screening methods are in motivating users to discuss the obtained results of such apps with health care professionals. Does a mobile phone depression-screening app motivate users with high depressive symptoms to seek health care professional advice? This study aimed to address this question.

Method

This was a single-cohort, prospective, observational study of a free mobile phone depression app developed in English and released on Apple’s App Store. Apple App Store users (aged 18 or above) in 5 countries, that is, Australia, Canada, New Zealand (NZ), the United Kingdom (UK), and the United States (US), were recruited directly via the app’s download page. The participants then completed the Patient Health Questionnaire (PHQ-9), and their depression screening score was displayed to them. If their score was 11 or above and they had never been diagnosed with depression before, they were advised to take their results to their health care professional. They were to follow up after 1 month.

Results

A group of 2538 participants from the 5 countries completed PHQ-9 depression screening with the app. Of them, 322 participants were found to have high depressive symptoms and had never been diagnosed with depression, and received advice to discuss their results with health care professionals. About 74% of those completed the follow-up; approximately 38% of these self-reported consulting their health care professionals about their depression score. Only positive attitude toward depression as a real disease was associated with increased follow-up response rate (odds ratio (OR) 3.2, CI 1.38-8.29).

Conclusions

A mobile phone depression-screening app motivated some users to seek a depression diagnosis. However, further study should investigate how other app users use the screening results provided by such apps.

Methodological quality of meta-analyses of the diagnostic accuracy of depression screening tools

OBJECTIVE

Concerns have been raised that primary studies of diagnostic accuracy of depression screening tools may exaggerate estimates of accuracy and that this could also influence the results of meta-analyses. No studies, however, have evaluated the quality of meta-analyses of depression screening tools. Our objective was to evaluate the quality of meta-analyses of the diagnostic accuracy of depression screening tools.

METHODS

We searched MEDLINE and PsycINFO from January 1, 2005 through March 13, 2016 for recent meta-analyses in any language on the diagnostic accuracy of depression screening tools. Two reviewers independently assessed methodological quality using the AMSTAR tool with appropriate adaptations made for studies of diagnostic test accuracy.

RESULTS

We identified 21 eligible meta-analyses. The majority provided a list of included studies (100%), included a comprehensive literature search (95%) and assessed risk of bias of included studies (71%). Meta-analyses less consistently included non-published evidence (38%), listed excluded studies (33%), incorporated risk of bias findings into conclusions (33%), and assessed selective cutoff reporting (29%). Meta-analyses rarely reported that duplicate study selection or data extraction occurred (14%), mentioned 'a priori' protocols (10%), or reported on conflicts of interest (0%) or funding sources (0%) of primary studies. Only 6 of 21 included meta-analyses complied with at least 7 of 14 adapted AMSTAR items.

CONCLUSIONS

The methodological quality of most meta-analyses of the diagnostic test accuracy of depression screening tools is suboptimal. Improving quality will reduce the risk of inaccurate estimates of accuracy and inappropriate inferences.

Improving perinatal depression care: the Massachusetts Child Psychiatry Access Project for Moms

OBJECTIVE

Perinatal depression is common and associated with poor birth, infant and child outcomes. Screening for perinatal depression alone does not improve treatment rates or patient outcomes. This paper describes the development, implementation and outcomes of a new and low-cost population-based program to help providers address perinatal depression, the Massachusetts Child Psychiatry Access Project (MCPAP) for Moms.

METHOD

MCPAP for Moms builds providers' capacity to address perinatal depression through (1) trainings and toolkits on depression screening, assessment and treatment; (2) telephonic access to perinatal psychiatric consultation for providers serving pregnant and postpartum women; and (3) care coordination to link women with individual psychotherapy and support groups.

RESULTS

In the first 18months, MCPAP for Moms enrolled 87 Ob/Gyn practices, conducted 100 trainings and served 1123 women. Of telephone consultations provided, 64% were with obstetric providers/midwives and 16% were with psychiatrists. MCPAP for Moms costs $8.38 per perinatal woman per year ($0.70 per month) or $600,000 for 71,618 deliveries annually in Massachusetts.

CONCLUSION

The volume of encounters, number of women served and low cost suggest that MCPAP for Moms is a feasible, acceptable and sustainable approach that can help frontline providers effectively identify and manage perinatal depression.

Diagnostic accuracy of the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses

INTRODUCTION

The Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) has been recommended for depression screening in medically ill patients. Many existing HADS-D studies have used exploratory methods to select optimal cut-offs. Often, these studies report results from a small range of cut-off thresholds; cut-offs with more favourable accuracy results are more likely to be reported than others with worse accuracy estimates. When published data are combined in meta-analyses, selective reporting may generate biased summary estimates. Individual patient data (IPD) meta-analyses can address this problem by estimating accuracy with data from all studies for all relevant cut-off scores. In addition, a predictive algorithm can be generated to estimate the probability that a patient has depression based on a HADS-D score and clinical characteristics rather than dichotomous screening classification alone. The primary objectives of our IPD meta-analyses are to determine the diagnostic accuracy of the HADS-D to detect major depression among adults across all potentially relevant cut-off scores and to generate a predictive algorithm for individual patients. We are already aware of over 100 eligible studies, and more may be identified with our comprehensive search.

METHODS AND ANALYSIS

Data sources will include MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, PsycINFO and Web of Science. Eligible studies will have datasets where patients are assessed for major depression based on a validated structured or semistructured clinical interview and complete the HADS-D within 2 weeks (before or after). Risk of bias will be assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Bivariate random-effects meta-analysis will be conducted for the full range of plausible cut-off values, and a predictive algorithm for individual patients will be generated.

ETHICS AND DISSEMINATION

The findings of this study will be of interest to stakeholders involved in research, clinical practice and policy.

The impact of fathers on maltreated youths' mental health

Men are increasingly the heads of single parent households, yet are often excluded from child welfare research and practice. To better serve all families in the child welfare system, it is necessary to understand the impact of primary caregiving men on children's wellbeing. In this study we investigated the longitudinal effects of primary caregiving fathers' mental health and substance use on child mental health, and examined possible differences by child age and gender. Regression analyses were conducted with the sample of 322 youth living with a male primary caregiver at the first wave of data collection from the National Survey of Child and Adolescent Wellbeing-II (NSCAW-II). We found that father depression at baseline consistently predicted child mental health outcomes three years later, even after accounting for demographics and baseline child mental health. Surprisingly, fathers' substance use did not predict child mental health, and interactions with child age and gender were not significant. Our findings are consistent with a small but growing literature suggesting that efforts to improve engagement of and attention to fathers within research, clinical and policy efforts are likely to be worthwhile.

Detection of depression in low resource settings: validation of the Patient Health Questionnaire (PHQ-9) and cultural concepts of distress in Nepal

BACKGROUND

Despite recognition of the burden of disease due to mood disorders in low- and middle-income countries, there is a lack of consensus on best practices for detecting depression. Self-report screening tools, such as the Patient Health Questionnaire (PHQ-9), require modification for low literacy populations and to assure cultural and clinical validity. An alternative approach is to employ idioms of distress that are locally salient, but these are not synonymous with psychiatric categories. Therefore, our objectives were to evaluate the validity of the PHQ-9, assess the added value of using idioms of distress, and develop an algorithm for depression detection in primary care.

METHODS

We conducted a transcultural translation of the PHQ-9 in Nepal using qualitative methods to achieve semantic, content, technical, and criterion equivalence. Researchers administered the Nepali PHQ-9 to randomly selected patients in a rural primary health care center. Trained psychosocial counselors administered a validated Nepali depression module of the Composite International Diagnostic Interview (CIDI) to validate the Nepali PHQ-9. Patients were also assessed for local idioms of distress including heart-mind problems (Nepali, manko samasya).

RESULTS

Among 125 primary care patients, 17 (14 %) were positive for a major depressive episode in the prior 2 weeks based on CIDI administration. With a Nepali PHQ-9 cutoff ≥ 10: sensitivity = 0.94, specificity = 0.80, positive predictive value (PPV) =0.42, negative predictive value (NPV) =0.99, positive likelihood ratio = 4.62, and negative likelihood ratio = 0.07. For heart-mind problems: sensitivity = 0.94, specificity = 0.27, PPV = 0.17, NPV = 0.97. With an algorithm comprising two screening questions (1. presence of heart-mind problems and 2. function impairment due to heart-mind problems) to determine who should receive the full PHQ-9, the number of patients requiring administration of the PHQ-9 could be reduced by 50 %, PHQ-9 false positives would be reduced by 18 %, and 88 % of patients with depression would be correctly identified.

CONCLUSION

Combining idioms of distress with a transculturally-translated depression screener increases efficiency and maintains accuracy for high levels of detection. The algorithm reduces the time needed for primary healthcare staff to verbally administer the tool for patients with limited literacy. The burden of false positives is comparable to rates in high-income countries and is a limitation for universal primary care screening.

Depression During Pregnancy and Postpartum

Depression is a common complication of pregnancy and the postpartum period. There are multiple risk factors for peripartum mood disorders, most important of which is a prior history of depression. Both depression and antidepressant medications confer risk upon the infant. Maternal depression has been associated with preterm birth, low birth weight, fetal growth restriction, and postnatal cognitive and emotional complications. Antidepressant exposure has been associated with preterm birth, reductions in birth weight, persistent pulmonary hypertension, and postnatal adaptation syndrome (PNAS) as well as a possible connection with autism spectrum disorder. Paroxetine has been associated with cardiac malformations. Most antidepressant medications are excreted in low levels in breast milk and are generally compatible with breastfeeding. The use of antidepressants during pregnancy and postpartum must be weighed against the risk of untreated depression in the mother.

Case finding and screening clinical utility of the Patient Health Questionnaire (PHQ-9 and PHQ-2) for depression in primary care: a diagnostic meta-analysis of 40 studies

BACKGROUND

The Patient Health Questionnaire (PHQ) is the most commonly used measure to screen for depression in primary care but there is still lack of clarity about its accuracy and optimal scoring method.

AIMS

To determine via meta-analysis the diagnostic accuracy of the PHQ-9-linear, PHQ-9-algorithm and PHQ-2 questions to detect major depressive disorder (MDD) among adults.

METHOD

We systematically searched major electronic databases from inception until June 2015. Articles were included that reported the accuracy of PHQ-9 or PHQ-2 questions for diagnosing MDD in primary care defined according to standard classification systems. We carried out a meta-analysis, meta-regression, moderator and sensitivity analysis.

RESULTS

Overall, 26 publications reporting on 40 individual studies were included representing 26 902 people (median 502, s.d.=693.7) including 14 760 unique adults of whom 14.3% had MDD. The methodological quality of the included articles was acceptable. The meta-analytic area under the receiver operating characteristic curve of the PHQ-9-linear and the PHQ-2 was significantly higher than the PHQ-9-algorithm, a difference that was maintained in head-to-head meta-analysis of studies. Our best estimates of sensitivity and specificity were 81.3% (95% CI 71.6-89.3) and 85.3% (95% CI 81.0-89.1), 56.8% (95% CI 41.2-71.8) and 93.3% (95% CI 87.5-97.3) and 89.3% (95% CI 81.5-95.1) and 75.9% (95% CI 70.1-81.3) for the PHQ-9-linear, PHQ-9-algorithm and PHQ-2 respectively. For case finding (ruling in a diagnosis), none of the methods were suitable but for screening (ruling out non-cases), all methods were encouraging with good clinical utility, although the cut-off threshold must be carefully chosen.

CONCLUSIONS

The PHQ can be used as an initial first step assessment in primary care and the PHQ-2 is adequate for this purpose with good acceptability. However, neither the PHQ-2 nor the PHQ-9 can be used to confirm a clinical diagnosis (case finding).

DECLARATION OF INTEREST

None.

COPYRIGHT AND USAGE

© The Royal College of Psychiatrists 2016. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) licence.

Antidepressant Prescription Claims Among Reproductive-Aged Women With Private Employer-Sponsored Insurance - United States 2008-2013

Antidepressant medication use during pregnancy has been increasing in the United States (1). Many women require antidepressants on an ongoing basis, and a clear consensus on the safest medication options for both the mother and her fetus does not exist (2). Given that half of all U.S. pregnancies are unplanned (3), antidepressant use will occur during the first weeks of pregnancy, a critical period for fetal development. To understand trends among women of reproductive age, CDC used Truven Health's MarketScan Commercial Claims and Encounters data* to estimate the number of antidepressant prescriptions filled by women aged 15-44 years with private employer-sponsored insurance. During 2008-2013, an average of 15.4% of women aged 15-44 years filled at least one prescription for an antidepressant in a single year. The most frequently filled antidepressants included sertraline, bupropion, and citalopram. Prescribing of antidepressants is common, and research on antidepressant safety during pregnancy needs to be accelerated to provide evidence-based information to health care providers and women about the potential risks for antidepressant exposure before and during pregnancy and between pregnancies.