Is major depression adequately diagnosed and treated by general practitioners? Results from an epidemiological study

Major depressive disorder recognition by quantifying EEG signal complexity using proposed APLZC and AWPLZC

BACKGROUND

Seeking objective quantitative indicators is important for accurately recognizing major depressive disorder (MDD). Lempel-Ziv complexity (LZC), employed to characterize neurological disorders, faces limitations in tracking dynamic changes in EEG signals due to defects in the coarse-graining process, hindering its precision for MDD objective quantitative indicators.

METHODS

This work proposed Adaptive Permutation Lempel-Ziv Complexity (APLZC) and Adaptive Weighted Permutation Lempel-Ziv Complexity (AWPLZC) algorithms by refining the coarse-graining process and introducing weight factors to effectively improve the precision of LZC in characterizing EEGs and further distinguish MDD patients better. APLZC incorporated the ordinal pattern, while False Nearest Neighbor and Mutual Information algorithms were introduced to determine and adjust key parameters adaptively. Furthermore, we proposed AWPLZC by assigning different weights to each pattern based on APLZC. Thirty MDD patients and 30 healthy controls (HCs) were recruited and their 64-channel resting EEG signals were collected. The complexities of gamma oscillations were then separately computed using LZC, APLZC, and AWPLZC algorithms. Subsequently, a multi-channel adaptive K-nearest neighbor model was constructed for identifying MDD patients and HCs.

RESULTS

LZC, APLZC, and AWPLZC algorithms achieved accuracy rates of 78.29 %, 90.32 %, and 95.13 %, respectively. Sensitivities reached 67.96 %, 85.04 %, and 98.86 %, while specificities were 88.62 %, 95.35 %, and 89.92 %, respectively. Notably, AWPLZC achieved the best performance in accuracy and sensitivity, with a specificity limitation.

LIMITATION

The sample size is relatively small.

CONCLUSION

APLZC and AWPLZC algorithms, particularly AWPLZC, demonstrate superior effectiveness in differentiating MDD patients from HCs compared with LZC. These findings hold significant clinical implications for MDD diagnosis.

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

Background

Depression 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.

Objective

The 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.

Methods

The 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 %.

Discussion

A 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.

Registration

ClinicalTrials.gov; NCT06230237.

Economic Evaluation of a Web Application Implemented in Primary Care for the Treatment of Depression in Patients With Type 2 Diabetes Mellitus: Multicenter Randomized Controlled Trial

BACKGROUND

Depressive disorder and type 2 diabetes mellitus (T2DM) are prevalent in primary care (PC). Pharmacological treatment, despite controversy, is commonly chosen due to resource limitations and difficulties in accessing face-to-face interventions. Depression significantly impacts various aspects of a person's life, affecting adherence to medical prescriptions and glycemic control and leading to future complications and increased health care costs. To address these challenges, information and communication technologies (eg, eHealth) have been introduced, showing promise in improving treatment continuity and accessibility. However, while eHealth programs have demonstrated effectiveness in alleviating depressive symptoms, evidence regarding glycemic control remains inconclusive. This randomized controlled trial aimed to test the efficacy of a low-intensity psychological intervention via a web app for mild-moderate depressive symptoms in individuals with T2DM compared with treatment as usual (TAU) in PC.

OBJECTIVE

This study aimed to analyze the cost-effectiveness and cost-utility of a web-based psychological intervention to treat depressive symptomatology in people with T2DM compared with TAU in a PC setting.

METHODS

A multicenter randomized controlled trial was conducted with 49 patients with T2DM, depressive symptoms of moderate severity, and glycosylated hemoglobin (HbA1c) of 7.47% in PC settings. Patients were randomized to TAU (n=27) or a web-based psychological treatment group (n=22). This web-based treatment consisted of cognitive behavioral therapy, improvement of diabetes self-care behaviors, and mindfulness. Cost-effectiveness analysis for the improvement of depressive symptomatology was conducted based on reductions in 3, 5, or 50 points on the Patient Health Questionnaire-9 (PHQ-9). The efficacy of diabetes control was estimated based on a 0.5% reduction in HbA1c levels. Follow-up was performed at 3 and 6 months. The cost-utility analysis was performed based on quality-adjusted life years.

RESULTS

Efficacy analysis showed that the web-based treatment program was more effective in improving depressive symptoms than TAU but showed only a slight improvement in HbA1c. Incremental cost-effectiveness ratios of 186.76 for a 3-point reduction in PHQ-9 and 206.31 for reductions of 5 and 50 percentage points were obtained. In contrast, the incremental cost-effectiveness ratio for improving HbA1c levels amounted to €1510.90 (€1=US $1.18 in 2018) per participant. The incremental cost-utility ratio resulted in €4119.33 per quality-adjusted life year gained.

CONCLUSIONS

The intervention, using web-based modules incorporating cognitive behavioral therapy tools, diabetes self-care promotion, and mindfulness, effectively reduced depressive symptoms and enhanced glycemic control in patients with T2DM. Notably, it demonstrated clinical efficacy and economic efficiency. This supports the idea that eHealth interventions not only benefit patients clinically but also offer cost-effectiveness for health care systems. The study emphasizes the importance of including specific modules to enhance diabetes self-care behaviors in future web-based psychological interventions, emphasizing personalization and adaptation for this population.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03426709; https://clinicaltrials.gov/study/NCT03426709.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/S12888-019-2037-3.

Multimodal mental health assessment with remote interviews using facial, vocal, linguistic, and cardiovascular patterns

Objective

The current clinical practice of psychiatric evaluation suffers from subjectivity and bias, and requires highly skilled professionals that are often unavailable or unaffordable. Objective digital biomarkers have shown the potential to address these issues. In this work, we investigated whether behavioral and physiological signals, extracted from remote interviews, provided complimentary information for assessing psychiatric disorders.

Methods

Time series of multimodal features were derived from four conceptual modes: facial expression, vocal expression, linguistic expression, and cardiovascular modulation. The features were extracted from simultaneously recorded audio and video of remote interviews using task-specific and foundation models. Averages, standard deviations, and hidden Markov model-derived statistics of these features were computed from 73 subjects. Four binary classification tasks were defined: detecting 1) any clinically-diagnosed psychiatric disorder, 2) major depressive disorder, 3) self-rated depression, and 4) self-rated anxiety. Each modality was evaluated individually and in combination.

Results

Statistically significant feature differences were found between controls and subjects with mental health conditions. Correlations were found between features and self-rated depression and anxiety scores. Visual heart rate dynamics achieved the best unimodal performance with areas under the receiver-operator curve (AUROCs) of 0.68-0.75 (depending on the classification task). Combining multiple modalities achieved AUROCs of 0.72-0.82. Features from task-specific models outperformed features from foundation models.

Conclusion

Multimodal features extracted from remote interviews revealed informative characteristics of clinically diagnosed and self-rated mental health status.

Significance

The proposed multimodal approach has the potential to facilitate objective, remote, and low-cost assessment for low-burden automated mental health services.

Utility of PHQ-2, PHQ-8 and PHQ-9 for detecting major depression in primary health care: a validation study in Spain

BACKGROUND

Primary health care (PHC) professionals may play a crucial role in improving early diagnosis of depressive disorders. However, only 50% of cases are detected in PHC. The most widely used screening instrument for major depression is the Patient Health Questionnaire (PHQ), including the two-, eight- and nine-item versions. Surprisingly, there is neither enough evidence about the validity of PHQ in PHC patients in Spain nor indications about how to interpret the total scores. This study aimed to gather validity evidence to support the use of the three PHQ versions to screen for major depression in PHC in Spain. Additionally, the present study provided information for helping professionals to choose the best PHQ version according to the context.

METHODS

The sample was composed of 2579 participants from 22 Spanish PHC centers participating in the EIRA-3 study. The reliability and validity of the three PHQ versions for Spanish PHC patients were assessed based on responses to the questionnaire.

RESULTS

The PHQ-8 and PHQ-9 showed high internal consistency. The results obtained confirm the theoretically expected relationship between PHQ results and anxiety, social support and health-related QoL. A single-factor solution was confirmed. Regarding to the level of agreement with the CIDI interview (used as the criterion), our results indicate that the PHQ has a good discrimination power. The optimal cut-off values were: ⩾2 for PHQ-2, ⩾7 for PHQ-8 and ⩾8 for PHQ-9.

CONCLUSIONS

PHQ is a good and valuable tool for detecting major depression in PHC patients in Spain.

A personalized intervention to prevent depression in primary care based on risk predictive algorithms and decision support systems: protocol of the e-predictD study

The predictD is an intervention implemented by general practitioners (GPs) to prevent depression, which reduced the incidence of depression-anxiety and was cost-effective. The e-predictD study aims to design, develop, and evaluate an evolved predictD intervention to prevent the onset of major depression in primary care based on Information and Communication Technologies, predictive risk algorithms, decision support systems (DSSs), and personalized prevention plans (PPPs). A multicenter cluster randomized trial with GPs randomly assigned to the e-predictD intervention + care-as-usual (CAU) group or the active-control + CAU group and 1-year follow-up is being conducted. The required sample size is 720 non-depressed patients (aged 18-55 years), with moderate-to-high depression risk, under the care of 72 GPs in six Spanish cities. The GPs assigned to the e-predictD-intervention group receive brief training, and those assigned to the control group do not. Recruited patients of the GPs allocated to the e-predictD group download the e-predictD app, which incorporates validated risk algorithms to predict depression, monitoring systems, and DSSs. Integrating all inputs, the DSS automatically proposes to the patients a PPP for depression based on eight intervention modules: physical exercise, social relationships, improving sleep, problem-solving, communication skills, decision-making, assertiveness, and working with thoughts. This PPP is discussed in a 15-min semi-structured GP-patient interview. Patients then choose one or more of the intervention modules proposed by the DSS to be self-implemented over the next 3 months. This process will be reformulated at 3, 6, and 9 months but without the GP-patient interview. Recruited patients of the GPs allocated to the control-group+CAU download another version of the e-predictD app, but the only intervention that they receive via the app is weekly brief psychoeducational messages (active-control group). The primary outcome is the cumulative incidence of major depression measured by the Composite International Diagnostic Interview at 6 and 12 months. Other outcomes include depressive symptoms (PHQ-9) and anxiety symptoms (GAD-7), depression risk (predictD risk algorithm), mental and physical quality of life (SF-12), and acceptability and satisfaction ('e-Health Impact' questionnaire) with the intervention. Patients are evaluated at baseline and 3, 6, 9, and 12 months. An economic evaluation will also be performed (cost-effectiveness and cost-utility analysis) from two perspectives, societal and health systems.

Trial registration

ClinicalTrials.gov, identifier: NCT03990792.

PsicAP transdiagnostic protocol of group cognitive-behavioral training for emotional disorders in Dominican Republic: a randomized controlled trial protocol

Emotional disorders (ED) such as anxiety, depression and somatization are extremely prevalent disorders that can affect an individual's quality of life and functionality. Primary Health Care (PHC) is the first place to identify most patients with these conditions. Mental health services in the Dominican Republic, as well as in Latin America and the Caribbean in general, are unable to provide appropriate care for most people with mental disorders. Using evidence-based treatment protocols is also crucial to make progress in helping people with ED. The PsicAP project is a group intervention that uses a transdiagnostic approach and is grounded in cognitive-behavioral techniques. The program is implemented in 7 group sessions, each lasting for one and a half hours. The program has been shown to be effective in reducing clinical symptoms, dysfunction, and in improving quality of life. It is also a non-time-intensive, low-cost treatment that is helpful for addressing EDs in a PHC context. The objective is to bring psychological treatments into PHC facilities of Dominican Republic, making them more accessible for a larger amount of the population.

Identifying and responding to depression in adolescents in primary care: A quality improvement response

The American Academy of Pediatrics (AAP) recommends adolescent depression screening and subsequent follow-up for those scoring at-risk. The current study assessed the outcomes of a Quality Improvement (QI) project that implemented these guidelines during annual well-child visits in a network of pediatric practices. This project used a two-stage screening process. First, adolescents were screened with the Pediatric Symptom Checklist (PSC-17). Second, adolescents who screened at-risk on the PSC-17 were asked to complete the Patient Health Questionnaire (PHQ-9). QI-participating providers received training on how to categorize the severity of their patient's depression based on PHQ-9 cut-off scores and clinical interview, and to implement and document appropriate options for follow-up. Patients in the QI group were significantly more likely to be screened with both the PSC-17 (93.8% vs. 89.1%, p < .001) and the PHQ-9 (54.8% vs. 16.4%, p < .001) compared to those in the non-QI group. Of the 80 adolescents in the QI group at-risk on the PSC-17 and with a completed PHQ-9, 65 (81.3%) received at least one type of referral for mental health, ranging from behavioral health services to lifestyle interventions. Findings support the feasibility of adolescent depression screening and referrals within pediatric primary care.

Prevalence of depressive disorders in a primary care setting in Ho Chi Minh City, Vietnam: A cross-sectional epidemiological study

OBJECTIVE

This research was conducted to identify the prevalence and associated factors of depressive disorders, as well as evaluate the recognition rate of general practitioners in detecting these mental health issues in primary care.

METHOD

Five hundred and twelve participants (55.3% female, mean age = 46.35 years) were assessed by psychiatrists based on the DSM-5 clinical procedures over a two-month survey in a primary care facility in Ho Chi Minh City, Vietnam.

RESULTS

There were 15.8% (95% confidence interval [CI] 12.9-19.2) of the population having depressive disorders, with major depressive disorder being the most prevalent subtype at 8% (95% CI 5.9-10.6). General practitioners could detect depressive disorders in 2.5% of all cases (95% CI .5-7.7). Significantly linked with depressive disorders in multivariable analysis were Chinese ethnic or other minority races (adjusted odds ratios [aOR] = 4.10, 95% CI 1.04-16.12), and low economic status (aOR = 5.41, 95% CI 1.29-22.59).

CONCLUSIONS

The high prevalence of depressive disorders in outpatients of primary care clinics may raise the awareness of the practitioners about screening and other appropriate actions to tackle the issue.

Cost-effectiveness of transdiagnostic group cognitive behavioural therapy versus group relaxation therapy for emotional disorders in primary care (PsicAP-Costs2): Protocol for a multicentre randomised controlled trial

Several randomised controlled trials (RCT) have demonstrated the superiority of transdiagnostic group cognitive-behavioural therapy (TD-CBT) to treatment as usual (TAU) for emotional disorders in primary care. To date, however, no RCTs have been conducted to compare TD-CBT to another active intervention in this setting. Our aim is to conduct a single-blind RCT to compare group TD-CBT plus TAU to progressive muscle relaxation (PMR) plus TAU in adults (age 18 to 65 years) with a suspected emotional disorder. We expect that TD-CBT + TAU will be more cost-effective than TAU + PMR, and that these gains will be maintained at the 12-month follow-up. Seven therapy sessions (1.5 hours each) will be offered over a 24-week period. The study will be carried out at four primary care centres in Cantabria, Spain. The study will take a societal perspective. Psychological assessments will be made at three time points: baseline, post-treatment, and at 12-months. The following variables will be evaluated: clinical symptoms (anxiety, depression, and/or somatic); functioning; quality of life (QoL); cognitive-emotional factors (rumination, worry, attentional and interpretative biases, emotion regulation and meta-cognitive beliefs); and satisfaction with treatment. Data on health service use, medications, and sick days will be obtained from electronic medical records. Primary outcome measures will include: incremental cost-effectiveness ratios (ICER) and incremental cost-utility ratios (ICURs). Secondary outcome measures will include: clinical symptoms, QoL, functioning, and treatment satisfaction. Bootstrap sampling will be used to assess uncertainty of the results. Secondary moderation and mediation analyses will be conducted. Two questionnaires will be administered at sessions 1, 4, and 7 to assess therapeutic alliance and group satisfaction. If this trial is successful, widespread application of this cost-effective treatment could greatly improve access to psychological treatment for emotional disorders in the context of increasing demand for mental healthcare in primary care. Trial registration: ClinicalTrials.gov: Cost-effectiveness of a Transdiagnostic Psychological Treatment for Emotional Disorders in Primary Care (PsicAP). NCT05314920.

Implementation of a psychological online intervention for low to moderate depression in primary care: study protocol

BACKGROUND

Depression affects millions of people all over the world and implies a great socioeconomic burden. Despite there are different effective evidence-based interventions for treating depression, only a small proportion of these patients receives an appropriate treatment. In this regard, information and communication technologies (ICTs) can be used with therapeutic aims and this can contribute to make interventions more accessible. One example is "Smiling is fun", an internet-based treatment which has proved to be effective and cost-effective for treating depression in Spanish Primary Care (PC). However, the "know-do gap" between research and clinical settings implies that the actual implementation of such interventions could last up to 20 years. To overcome this obstacle, the implementation research establishes the methodology to implement the advances developed in the laboratories to the health care services maintaining the validity of the intervention and offering specific strategies for the implementation process.

OBJECTIVE

This is the protocol of an implementation study for the Internet-based program "Smiling is fun", which will be conducted on patients with mild-to-moderate depression of Spanish PC settings. In the implementation study, the feasibility, efficacy, cost-efficacy, acceptability, adoption, appropriateness, fidelity, penetration, normalization, and sustainability will be assessed.

METHODS

The current investigation is a Hybrid Effectiveness-Implementation Type II design. A Stepped Wedge randomized controlled trial design will be used, with a cohort of 420 adults diagnosed with depression (mild-to-moderate) who will undergo a first control phase (no treatment) followed by the intervention, which will last 16 weeks, and finishing with an optional use of the intervention. All patients will be assessed at baseline, during the treatment, and at post-treatment. The study will be conducted in three Spanish regions: Andalusia, Aragon, and the Balearic Islands. Two primary care centers of each region will participate, one located in the urban setting and the other in the rural setting. The primary outcome will be implementation success of the intervention assessing the reach, clinical effect, acceptability, appropriateness, adoption, feasibility, fidelity, penetration, implementation costs and sustainability services.

DISCUSSION

"Smiling is Fun", which has already been established as effective and cost-effective, will be adapted according to users' experiences and opinions, and the efficacy and cost-efficacy of the program will again be assessed. The study will point out barriers and facilitators to consider in the implementation process of internet-based psychological interventions in health services. The ultimate goal is to break the research-to-practice split, which would undoubtedly contribute to reduce the high burden of depression in our society.

TRIAL REGISTRATION

ClinicalTrials.gov, Identifier: NCT05294614.

Combining the GP's assessment and the PHQ-9 questionnaire leads to more reliable and clinically relevant diagnoses in primary care

Background

Screening questionnaires are not sufficient to improve diagnostic quality of depression in primary care. The additional consideration of the general practitioner’s (GP’s) assessment could improve the accuracy of depression diagnosis. The aim of this study was to examine whether the GP rating supports a reliable depression diagnosis indicated by the PHQ-9 over a period of three months.

Methods

We performed a secondary data analysis from a previous study. PHQ-9 scores of primary care patients were collected at the time of recruitment (t1) and during a follow-up 3 months later (t2). At t1 GPs independently made a subjective assessment whether they considered the patient depressive (yes/no). Two corresponding groups with concordant and discordant PHQ-9 and GP ratings at t1 were defined. Reliability of the PHQ-9 results at t1 and t2 was assessed within these groups and within the entire sample by Cohen’s Kappa, Pearson’s correlation coefficient and Bland-Altman plots.

Results

364 consecutive patients from 12 practices in the region of Upper Bavaria/Germany participated in this longitudinal study. 279 patients (76.6%) sent back the questionnaire at t2. Concordance of GP rating and PHQ-9 at t1 led to higher replicability of PHQ-9 results between t1 and t2. The reliability of PHQ-9 was higher in the concordant subgroup (κ = 0.507) compared to the discordant subgroup (κ = 0.211) (p = 0.064). The Bland-Altman Plot showed that the deviation of PHQ-9 scores at t1 and t2 decreased by about 15% in the concordant subgroup. Pearson’s correlation coefficient between PHQ-9 scores at t1 and t2 increased significantly if the GP rating was concordant with the PHQ-9 at t1 (r = 0.671) compared to the discordant subgroup (r = 0.462) (p = 0.044).

Conclusions

The combination of PHQ-9 and GP rating might improve diagnostic decision making regarding depression in general practices. PHQ-9 positive results might be more reliable and accurate, when a concordant GP rating is considered.

A machine learning model for predicting patients with major depressive disorder: A study based on transcriptomic data

Background

Identifying new biomarkers of major depressive disorder (MDD) would be of great significance for its early diagnosis and treatment. Herein, we constructed a diagnostic model of MDD using machine learning methods.

Methods

The GSE98793 and GSE19738 datasets were obtained from the Gene Expression Omnibus database, and the limma R package was used to analyze differentially expressed genes (DEGs) in MDD patients. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to identify potential molecular functions and pathways. A protein-protein interaction network (PPI) was constructed, and hub genes were predicted. Random forest (RF) and artificial neural network (ANN) machine-learning algorithms were used to select variables and construct a robust diagnostic model.

Results

A total of 721 DEGs were identified in peripheral blood samples of patients with MDD. GO and KEGG analyses revealed that the DEGs were mainly enriched in cytokines, defense responses to viruses, responses to biotic stimuli, immune effector processes, responses to external biotic stimuli, and immune systems. A PPI network was constructed, and CytoHubba plugins were used to screen hub genes. Furthermore, a robust diagnostic model was established using a RF and ANN algorithm with an area under the curve of 0.757 for the training model and 0.685 for the test cohort.

Conclusion

We analyzed potential driver genes in patients with MDD and built a potential diagnostic model as an adjunct tool to assist psychiatrists in the clinical diagnosis and treatment of MDD.

Revisiting the theoretical and methodological foundations of depression measurement

Depressive disorders are among the leading causes of global disease burden, but there has been limited progress in understanding the causes and treatments for these disorders. In this Perspective, we suggest that such progress crucially depends on our ability to measure depression. We review the many problems with depression measurement, including limited evidence of validity and reliability. These issues raise grave concerns about common uses of depression measures, such as diagnosis or tracking treatment progress. We argue that shortcomings arise because depression measurement rests on shaky methodological and theoretical foundations. Moving forward, we need to break with the field's tradition that has, for decades, divorced theories about depression from how we measure it. Instead, we suggest that epistemic iteration, an iterative exchange between theory and measurement, provides a crucial avenue for depression measurement to progress.

The well-being of older age Lithuanians: Policy implications

Many countries of the world consider the well-being of citizens to be one of their most important goals. Nowadays there is a growing concern about the well-being of older people. Considering the aging population, there is a call for social policies aimed at strengthening the well-being of older people. Therefore, recommendations were prepared for policymakers on possible ways to strengthen the well-being of the older age Lithuanian population. The recommendations are based on data from the 7th wave of the Survey of Health, Aging, and Retirement in Europe (SHARE). There were 2014 persons aged 50 and older interviewed in Lithuania in the 7th wave of the SHARE survey. Data on various aspects of well-being, health, work and economic situation, childhood circumstances, experiences of discrimination were analyzed. Based on different aspects of well-being it was found, that respondents can be grouped into high, low, and medium well-being clusters, moreover the analysis showed that the Lithuanian population has relatively low well-being compared to other countries. Recommendations were formulated covering possible measures for chronic diseases, co-morbid mental health disorders, work, economic situation, childhood environment, and personal life history. The recommendations are addressed to health, social and employment, education, and science policymakers.

Identifying Mental Disorders in Primary Care: Diagnostic Accuracy of the Connected Mind Fast Check (CMFC) Electronic Screen

Primary care physicians (PCPs) often daily address diagnoses and treatment of mental disorders in their practices. The current study examined the Connected Mind Fast Check (CMFC), a two-tiered electronic screen, assessing six common mental disorders. The eight-item Initial Screen assesses possible symptoms, whereas SAM modules establish provisional diagnoses and areas of clinical concern. With 234 patients from five independent PCP offices, diagnostic accuracy was tested with the SCID-5-RV as the external criterion. Concerningly, many patients were unaware of their current mental disorders and comorbidities. The CMFC Initial Screen evidenced strong sensitivity, identifying with very few missing diagnoses. About two-thirds of provisional SAM diagnoses were confirmed with high specificities. Bipolar Disorder posed the most challenges at both tiers. Importantly, the suicide screen identified all patients with suicide plans and three-fourths with ideation. In general, the CMFC effectively identified provisional diagnoses, impairment, and potential suicidality.

Use of Mental Health Services for Patients Diagnosed with Major Depressive Disorders in Primary Care

Major depressive disorder (MDD) is one of the most disabling diseases worldwide, generating high use of health services. Previous studies have shown that Mental Health Services (MHS) use is associated with patient and Family Physician (FP) factors. The aim of this study was to investigate MHS use in a naturalistic sample of MDD outpatients and the factors influencing use of services in specialized psychiatric care, to know the natural mental healthcare pathway. Non-randomized clinical trial including newly depressed Primary Care (PC) patients (n = 263) with a 12-month follow-up (from 2013 to 2015). Patient sociodemographic variables were assessed along with clinical variables (mental disorder diagnosis, severity of depression or anxiety, quality of life, disability, beliefs about illness and medication). FP (n = 53) variables were also evaluated. A multilevel logistic regression analysis was performed to assess factors associated with public or private MHS use. Subjects were clustered by FP. Having previously used MHS was associated with the use of MHS. The use of public MHS was associated with worse perception of quality of life. No other sociodemographic, clinical, nor FP variables were associated with the use of MHS. Patient self-perception is a factor that influences the use of services, in addition to having used them before. This is in line with Value-Based Healthcare, which propose to put the focus on the patient, who is the one who must define which health outcomes are relevant to him.

Screening for Depression in Daily Life: Development and External Validation of a Prediction Model Based on Actigraphy and Experience Sampling Method

Background

In many countries, depressed individuals often first visit primary care settings for consultation, but a considerable number of clinically depressed patients remain unidentified. Introducing additional screening tools may facilitate the diagnostic process.

Objective

This study aimed to examine whether experience sampling method (ESM)-based measures of depressive affect and behaviors can discriminate depressed from nondepressed individuals. In addition, the added value of actigraphy-based measures was examined.

Methods

We used data from 2 samples to develop and validate prediction models. The development data set included 14 days of ESM and continuous actigraphy of currently depressed (n=43) and nondepressed individuals (n=82). The validation data set included 30 days of ESM and continuous actigraphy of currently depressed (n=27) and nondepressed individuals (n=27). Backward stepwise logistic regression analysis was applied to build the prediction models. Performance of the models was assessed with goodness-of-fit indices, calibration curves, and discriminative ability (area under the receiver operating characteristic curve [AUC]).

Results

In the development data set, the discriminative ability was good for the actigraphy model (AUC=0.790) and excellent for both the ESM (AUC=0.991) and the combined-domains model (AUC=0.993). In the validation data set, the discriminative ability was reasonable for the actigraphy model (AUC=0.648) and excellent for both the ESM (AUC=0.891) and the combined-domains model (AUC=0.892).

Conclusions

ESM is a good diagnostic predictor and is easy to calculate, and it therefore holds promise for implementation in clinical practice. Actigraphy shows no added value to ESM as a diagnostic predictor but might still be useful when ESM use is restricted.

[Common mental disorders in primary care: diagnostic and therapeutic difficulties, and new challenges in prediction and prevention. SESPAS Report 2020]

In primary health care only chronic pain surpass depression and anxiety in loss of quality-adjusted life years. More than 70% of people suffering from common mental disorders consulted their GPs for this reason. However, 'the declining halves rule' is a reality: less than 50% of primary care attendees with common mental disorders were correctly diagnosed, of these less than 50% received adequate treatment (pharmacological or psychological) and of these less than 50% patients were adherent. Collaborative models of common mental disorders care in primary health care have demonstrated their effectiveness through clinical trials; however, its implementation in a more general and real context is difficult and its effectiveness remains unclear. Risk algorithms have been developed and validated in primary health care to predict the onset and prognosis of common mental disorders; which are useful for their treatment and prevention. There is evidence that psychological and psychoeducational interventions (and possibly those of physical exercise) are effective for the primary prevention of common mental disorders, even in primary health care; although their effects are small or moderate. These interventions have a high potential to be scalable in schools, workplace and primary health care; in addition, when they are administered through information and communication technologies (e.g. by App), in self-guided or minimally guided programs, they have demonstrated their effectiveness for the treatment and prevention of common mental disorders. They are also very accessible, have low cost and contribute to the massive implementation of these interventions in different settings.

Prevalence, 12-Month Prognosis, and Clinical Management Need of Depression in Coronary Heart Disease Patients: A Prospective Cohort Study

BACKGROUND

Screening for depression in patients with coronary heart disease (CHD) remains controversial. There is limited data on the actual depression management need in routine care. The aim of this study was to examine the prevalence, treatment rates, prognosis, and management need of clinical and subclinical depression in CHD patients according to the American Heart Association recommendations and the National Institute for Health and Care Excellence (NICE) guideline "Depression in Adults with a Chronic Physical Health Problem".

METHODS

Patients were recruited at 2 German university clinics between 2012 and 2014. Depressive disorders were assessed according to the DSM-IV and depressive symptom severity at baseline and during follow-up was evaluated with the Patient Health Questionnaire (PHQ-9). Depression management need was determined by the severity and longitudinal course of depression symptoms.

RESULTS

Of 1,024 patients (19% women), 12% had clinical depression (depressive disorder) and 45% had subclinical depression (PHQ-9 score ≥5) at baseline. Among those with clinical depression, 46% were in treatment at least once during 12 months; 26% were continuously in treatment during follow-up. Depressive disorder and depressive symptoms were significant risk factor-adjusted predictors of the 12-months mortality (adjusted HR = 3.19; 95% CI 1.32-7.69, and adjusted HR = 1.09; 95% CI 1.02-1.16, respectively). Depressive symptoms persisted in 85% of the clinically depressed and in 47% of the subclinically depressed patients. According to current recommendations, 29% of all CHD patients would require depression management within 1 year.

CONCLUSIONS

There is a need for enhanced recognition, referral, and continuous and improved clinical management of depression in CHD patients.

Assessing the quality of care for paediatric depression and anxiety in Australia: A population-based sample survey

OBJECTIVE

We examine the prevalence of quality care (as measured by adherence to recommendations in clinical practice guidelines) for Australian paediatric patients (⩽15 years) with depression and/or anxiety, using data from the CareTrack Kids study; a population-based study of the quality of healthcare practice in inpatient and ambulatory healthcare settings.

METHODS

A multistage stratified sample identified records of 6689 children. Of these, 156 records were identified for depression and 356 for anxiety. These were assessed for adherence to 15 depression and 13 anxiety indicators, respectively, using a review of medical records.

RESULTS

Adherence to assessment and management guidelines was low for both conditions: assessment bundle (depression = 33%, 95% confidence interval = [20, 48]; anxiety = 54%, 95% confidence interval = [43, 64] and depression management bundle = 35%, 95% confidence interval = [15, 60]). Across both conditions, the highest adherence was recorded for indicators that addressed prescription of medications (e.g. venlafaxine, 100%; benzodiazepines, 100%; selective serotonin reuptake inhibitor, 94% and antidepressants, 91%), while compliance was the lowest for ensuring children with depression had an emergency safety plan (44%), informing parents of the risks and benefits of prescribed anxiety medication (51%) and assessment for other causes (59% for depression; 68% for anxiety).

CONCLUSION

These findings suggest that strategies are needed to improve guideline adherence for mental health disorders in children and adolescents, particularly among general practitioners. Learning from these indicators could inform clinical prompts in electronic medical records, as well as links to additional information, to assist in decision-making and streamline work practices.

Cost-effectiveness of antidepressants versus active monitoring for mild-to-moderate major depressive disorder: a multisite non-randomized-controlled trial in primary care (INFAP study)

BACKGROUND

The purpose of this study was to evaluate the cost-effectiveness of antidepressants vs active monitoring (AM) for patients with mild-moderate major depressive disorder.

METHODS

This was a 12-month observational prospective controlled trial. Adult patients with a new episode of major depression were invited to participate and assigned to AM or antidepressants according to General Practitioners' clinical judgment and experience. Patients were evaluated at baseline, and 6 and 12-month follow-up. Quality-adjusted life years (QALYs) gained were estimated and used to calculate incremental cost-utility ratios (ICUR) from the healthcare and government perspective. To minimize the bias resulting from non-randomization, a propensity score-based method was used.

RESULTS

At 6 and 12-month follow-up, ICUR was 2549 €/QALY and 6,142 €/QALY, respectively, in favor of antidepressants. At 6 months, for a willingness to pay (WTP) of 25,000 €/QALY, antidepressants had a probability of 0.89 (healthcare perspective) and 0.81 (government perspective) of being more cost-effective than AM. At 12 months, this probability was 0.86 (healthcare perspective) and 0.73 (government perspective).

CONCLUSIONS

Incremental cost-utility ratios favor pharmacological treatment as a first-line approach for patients with mild-moderate major depressive disorder. While our results should be interpreted with caution and further real world research is needed, clinical practice guidelines should consider antidepressant therapy for mild-moderate major depressive patients as an alternative to active monitoring in PC.

Effectiveness of a collaborative care intervention for managing major depression and chronic musculoskeletal pain in primary care: A cluster-randomised controlled trial

BACKGROUND

Depression and chronic musculoskeletal pain commonly occur as comorbid conditions, which increases their negative effects on health outcomes. The objective of this study was to assess the effectiveness of the DROP (DepRessiOn and Pain) programme designed for the management of major depression and chronic musculoskeletal pain in primary care.

METHODS

A cluster-randomised controlled trial was carried out between June 2015 and December 2017 with 328 patients with major depression and chronic musculoskeletal pain, randomly allocated to either intervention arm or usual care arm. The intervention included care management, optimised management of depression, and a psychoeducational programme. Outcomes were monitored using blinded interviews over a 12-month period.

TRIAL REGISTRATION

NCT02605278 (ClinicalTrials.gov).

RESULTS

After 12 months, 274 patients were evaluated (83.5% participation). The severity of depression (Hopkins Symptom Checklist score) was 0.23 points lower in the intervention arm [1.11 vs. 1.34; CI95% = -0.42 to -0.04]. Intervention arm's response rate to antidepressant treatment was 18.9% higher [39.6% vs. 20.7%; OR = 2.74; CI95% = 1.12-6.67] and its remission rate for depression was 9.0% higher [20.1% vs. 11.1%; OR = 2.13; CI95% = 0.94-4.85] compared to the usual care arm. There were no significant differences between the two arms in terms of pain severity (Brief Pain Inventory severity score) [6.23 vs. 6.66; difference = -0.39; CI95% = -1.13-0.35] or pain response rate [18.7% vs. 18.5%; OR = 1.02; CI95% = 0.46-2.26].

LIMITATIONS

This is a pragmatic study, and poor adherence to the programme by patients and physicians was a main limitation.

CONCLUSION

The programme improves clinical outcomes for depression, although no clinical benefits were seen for pain.

[How frequently are depressive disorders recognized in primary care patients? : A cross-sectional epidemiological study in Germany]

BACKGROUND

Primary care physicians (PCPs) play a crucial role for guideline-oriented intervention in patients with depression.

OBJECTIVES

Based on a diagnostic screening questionnaire, this study investigates the sensitivity of PCPs to recognize patients with depression as well as the factors facilitating recognition and concordant diagnostic decisions.

METHOD

In a cross-sectional epidemiological study in six regions of Germany, 3563 unselected patients filled in questionnaires on mental and physical complaints and were diagnostically evaluated by their PCP (N = 253). The patient reports on an established Depression-Screening-Questionnaire (DSQ), which allows the approximate derivation of an ICD-10 depression diagnosis, were compared with the physician diagnosis (N = 3211). In a subsample of discordant cases a comprehensive standardized clinical-diagnostic interview (DIA-X/CIDI) was applied.

RESULTS

On the study day, the prevalence of ICD-10 depression was 14.3% according to the DSQ and 10.7% according to the physician diagnosis. Half of the patients identified by DSQ were diagnosed with depression by their physician and two thirds were recognized as mental disorder cases. More severe depression symptomatology and the persistent presence of main depression symptoms were related to better recognition and concordant diagnostic decisions. Diagnostic validation interviews confirmed the DSQ diagnosis in the majority of the false-negative cases. Indications for at least a previous history of depression were found in up to 70% of false-positive cases.

CONCLUSION

Given the high prevalence of depression in primary care patients, there is continued need to improve the recognition and diagnosis of these patients to assure guideline-oriented treatment.

Diagnostic accuracy and treatment approach to depression in primary care: predictive factors

OBJECTIVE

The study assessed the predictive factors of diagnostic accuracy and treatment approach (antidepressants versus active monitoring) for depression in primary care.

METHODS

This is a cross-sectional study that uses information from a naturalistic prospective controlled trial performed in Barcelona (Spain) enrolling newly diagnosed patients with mild to moderate depression by GPs. Treatment approach was based on clinical judgement. Diagnosis was later assessed according to DSM-IV criteria using Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) interview by an external researcher. Patients (sociodemographic, psychiatric diagnosis, severity of depression and anxiety, health-related quality of life, disability, beliefs about medication and illness and comorbidities) and GP factors associated with diagnostic accuracy and treatment approach were assessed using multilevel logistic regression. Variables with missing data were imputed through multiple imputations.

RESULTS

Two hundred sixty-three patients were recruited by 53 GPs. Mean age was 51 years (SD = 15). Thirty percent met DSM-IV criteria for major depression. Mean depression symptomatology was moderate-severe. Using multivariate analyses, patients' beliefs about medicines were the only variable associated with the antidepressant approach. Specialization in general medicine and being a resident tutor were associated with a more accurate diagnosis.

CONCLUSIONS

Clinical depression diagnosis by GPs was not always associated with a formal diagnosis through a SCID-I. GPs' training background was central to an adequate depression diagnosis. Patients' beliefs in medication were the only factor associated with treatment approach. More resources should be allocated to improving the diagnosis of depression.

A computerized version of the Patient Health Questionnaire-4 as an ultra-brief screening tool to detect emotional disorders in primary care

BACKGROUND

The Patient Health Questionnaire-4 (PHQ-4) is an ultra-brief self-report consisting of a 2-item depression scale (PHQ-2) and a 2-item anxiety scale (GAD-2). The aim of the present study is to determine the psychometric properties of a computerized version of the PHQ-4 used to detect emotional disorders (anxiety and depression) in the primary care setting.

METHOD

A total of 1052 patients with suspected anxiety, depression, or somatic symptoms were recruited from 28 primary care centres participating in the PsicAP trial and completed the full version of the computerized PHQ. In addition, 178 of these patients also underwent in clinical interviews as a gold standard.

RESULTS

Confirmatory factor analyses showed very good fit indices for a two-factor solution. This model was structurally invariant among the various age and gender groups and internal consistency was acceptable (PHQ-4; α = .83, PHQ-2; α = .86, and GAD-2; α = .76). The best cut-off points to obtain high sensitivity values was 3, on both the PHQ-2 (major depressive disorder) and the GAD-2 (generalized anxiety disorder). The criterion validity (sensitivity and specificity) for the PHQ-2 were .90 and .61 and for the GAD-2, .88 and 0.61.

LIMITATIONS

The study was not designed as a prevalence study. Therefore, does not contain information on patients whose general practitioners do not consider them to suffer emotional disorders.

CONCLUSION

This is the first study to provide evidence for the reliability and validity of a computerized version of the PHQ-4. This computerized tool can be used to detect depression and anxiety in a primary care setting.

Effectiveness of watchful waiting versus antidepressants for patients diagnosed of mild to moderate depression in primary care: A 12-month pragmatic clinical trial (INFAP study)

Background:

Although mild to moderate major depressive disorder (MDD) is one of the main reasons for consulting a general practitioner (GP), there is still no international consensus on the most appropriate therapeutic approach.

Methods:

The aim of this study is to evaluate the clinical effectiveness of watchful waiting (WW) compared with the use of antidepressants (ADs) for the treatment of mild to moderate depressive symptoms in 263 primary care (PC) usual-practice patients in a 12-month pragmatic non-randomised controlled trial. Both longitudinal and per-protocol analyses were performed, through a multilevel longitudinal analysis and a sensitivity analysis.

Results:

We observed a statistically significant time x treatment interaction in the severity of depression (Patient Health Questionnaire, PHQ-9) and disability (World Health Organization Disability Assessment Schedule, WHODAS) in favour of the AD group at 6 months but not at 12 months. The effect size of this difference was small. No statistically significant differences were observed between groups in severity of anxiety (Beck Anxiety Inventory, BAI) or health-related quality-of-life (EuroQol-5D, EQ-5D). Sensitivity analysis and per-protocol analysis showed no differences between the two groups in any of the evaluated scales.

Conclusions:

Superiority of either treatment (WW and AD) was not demonstrated in patients treated for depression in PC after one year of follow-up.

Factor structure and measurement invariance across various demographic groups and over time for the PHQ-9 in primary care patients in Spain

The Patient Health Questionnaire (PHQ-9) is a widely-used screening tool for depression in primary care settings. The purpose of the present study is to identify the factor structure of the PHQ-9 and to examine the measurement invariance of this instrument across different sociodemographic groups and over time in a sample of primary care patients in Spain. Data came from 836 primary care patients enrolled in a randomized controlled trial (PsicAP study) and a subsample of 218 patients who participated in a follow-up assessment at 3 months. Confirmatory factor analysis (CFA) was used to test one- and two-factor structures identified in previous studies. Analyses of multiple-group invariance were conducted to determine the extent to which the factor structure is comparable across various demographic groups (i.e., gender, age, marital status, level of education, and employment situation) and over time. Both one-factor and two-factor re-specified models met all the pre-established fit criteria. However, because the factors identified in the two-factor model were highly correlated (r = .86), the one-factor model was preferred for its parsimony. Multi-group CFA indicated measurement invariance across different demographic groups and across time. The present findings suggest that physicians in Spain can use the PHQ-9 to obtain a global score for depression severity in different demographic groups and to reliably monitor changes over time in the primary care setting.

Impact of initial medication non-adherence to SSRIs on medical visits and sick leaves

BACKGROUND

Initial medication non-adherence (IMNA) to antidepressants, which are commonly used to treat depression in primary care (PC), is around 6-12%. Although it is well known that post-initial non-adherence to antidepressants increases the cost of depression, the impact of IMNA on cost is unknown. The aim of this study is to assess the impact of IMNA to Selective Serotonin Reuptake Inhibitors (SSRI) on medical visits and sick leave in patients with depression treated in PC in Catalonia (Spain).

METHODS

This was a four-year retrospective register-based study (2011-2014). All PC patients of working age who received a new SSRI prescription and had a diagnosis of depression were included (N = 79,642). Treatment initiation, number of visits and days on sick leave were gathered from the database. We assessed the impact of IMNA on costs with ordered logistic regressions.

RESULTS

The 3-year incidence of IMNA was 15%. Initially non-adherent patients made a lesser number of GP visits (OR = 0.82; 95% CI = 0.79-0.84) but had more days on sick leave (OR = 1.25; 95% CI = 1.20-1.31). There were no differences in the number of specialist visits (OR = 1.04; 95% CI = 0.99-1.08).

LIMITATIONS

Differences between adherent and non-adherent patients could be explained by non-observed variables. GP recognition and documentation of depression might be inaccurate. Costs of unpaid work and use of hospital services were not considered.

CONCLUSIONS

Although IMNA decreases the use of medical PC services, it increases the number of days on sick leave. This could also indicate worse health status. These consequences are currently overlooked when considering post-initial medication non-adherence.

Development and assessment of an active strategy for the implementation of a collaborative care approach for depression in primary care (the INDI·i project)

Background

Primary care is the principal clinical setting for the management of depression. However, significant shortcomings have been detected in its diagnosis and clinical management, as well as in patient outcomes. We developed the INDI collaborative care model to improve the management of depression in primary care. This intervention has been favorably evaluated in terms of clinical efficacy and cost-effectiveness in a clinical trial. Our aim is to bring this intervention from the scientific context into clinical practice.

Methods

Objective: To test for the feasibility and impact of a strategy for implementing the INDI model for depression in primary care.

Design: A quasi-experiment conducted in primary care. Several areas will be established to implement the new program and other, comparable areas will serve as control group. The study constitutes the preliminary phase preceding generalization of the model in the Catalan public healthcare system.

Participants: The target population of the intervention are patients with major depression. The implementation strategy will also involve healthcare professionals, primary care centers, as well as management departments and the healthcare organization itself in the geographical areas where the study will be conducted: Camp de Tarragona and Vallès Occidental (Catalonia).

Intervention: The INDI model is a program for improving the management of depression involving clinical, instructional, and organizational interventions including the participation of nurses as care managers, the efficacy and efficiency of which has been proven in a clinical trial. We will design an active implementation strategy for this model based on the PARIHS (Promoting Action on Research Implementation in Health Services) framework.

Measures: Qualitative and quantitative measures will be used to evaluate variables related to the successful implementation of the model: acceptability, utility, penetration, sustainability, and clinical impact.

Discussion

This project tests the transferability of a healthcare intervention supported by scientific research to clinical practice. If implementation is successful in this experimental phase, we will use the information and experience obtained to propose and plan the generalization of the INDI model for depression in the Catalan healthcare system. We expect the program to benefit patients, the healthcare system, and society.

Trial registration

ClinicalTrials.gov identifier: NCT03285659; Registered 12th September, 2017.

Screening for generalized anxiety disorder in Spanish primary care centers with the GAD-7

The aim of the study was to determine the criterion validity of a computerized version of the General Anxiety Disorder-7 (GAD-7) questionnaire to detect general anxiety disorder in Spanish primary care centers. A total of 178 patients completed the GAD-7 and were administered the Composite International Diagnostic Interview (CIDI) for DSM-IV Axis I Disorders, which was used as a reference standard. Sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios were calculated. A cut-off of 10 yielded a sensitivity of .87, a specificity of .78, a positive predictive value of .93, a negative predictive value of .64, a positive likelihood ratio of 3.96 a negative likelihood ratio of .17 and Younden's Index of .65. The GAD-7 performed very well with a cut-off value of 10, the most frequently used cut-off point. Thus, a computerized version of the GAD-7 is an excellent screening tool for detecting general anxiety disorder in Spanish primary care settings.

Utility of the PHQ-9 to identify major depressive disorder in adult patients in Spanish primary care centres

BACKGROUND

The prevalence of major depressive disorder (MDD) in Spanish primary care (PC) centres is high. However, MDD is frequently underdiagnosed and consequently only some patients receive the appropriate treatment. The present study aims to determine the utility of the Patient Health Questionnaire-9 (PHQ-9) to identify MDD in a subset of PC patients participating in the large PsicAP study.

METHODS

A total of 178 patients completed the full PHQ test, including the depression module (PHQ-9). Also, a Spanish version of the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) was implemented by clinical psychologists that were blinded to the PHQ-9 results. We evaluated the psychometric properties of the PHQ-9 as a screening tool as compared to the SCID-I as a reference standard.

RESULTS

The psychometric properties of the PHQ-9 for a cut-off value of 10 points were as follows: sensitivity, 0.95; specificity, 0.67. Using a cut-off of 12 points, the values were: sensitivity, 0.84; specificity, 0.78. Finally, using the diagnostic algorithm for depression (DSM-IV criteria), the sensitivity was 0.88 and the specificity 0.80.

CONCLUSIONS

As a screening instrument, the PHQ-9 performed better with a cut-off value of 12 versus the standard cut-off of 10. However, the best psychometric properties were obtained with the DSM-IV diagnostic algorithm for depression. These findings indicate that the PHQ-9 is a highly satisfactory tool that can be used for screening MDD in the PC setting.

TRIAL REGISTRATION

Current Controlled Trials ISRCTN58437086 . Registered 20 May 2013.

[A computerised clinical decision-support system for the management of depression in Primary Care]

A pesar de su relevancia clínica y de su importancia como problema de salud pública existen importantes deficiencias en el abordaje de la depresión. Las guías clínicas basadas en la evidencia son útiles para mejorar los procesos y los resultados clínicos, y para facilitar su implementación se ha ensayado su transformación en sistemas informatizados de apoyo a las decisiones clínicas. En este artículo se describen los fundamentos y principales características de una nueva guía clínica informatizada para el manejo de la depresión mayor desarrollada en el sistema sanitario público de Cataluña. Esta herramienta ayuda al clínico a establecer diagnósticos de depresión fiables y precisos, a elegir el tratamiento idóneo a priori según las características de la enfermedad y del propio paciente, y enfatiza en la importancia de un seguimiento sistemático para evaluar la evolución clínica y adecuar las intervenciones terapéuticas a las necesidades del paciente en cada momento.

A model for continuous monitoring of patients with major depression in short and long term periods

BACKGROUND AND OBJECTIVE

Major depressive disorder causes more human suffering than any other disease affecting humankind. It has a high prevalence and it is predicted that it will be among the three leading causes of disease burden by 2030. The prevalence of depression, all of its social and personal costs, and its recurrent characteristics, put heavy constraints on the ability of the public healthcare system to provide sufficient support for patients with depression. In this research, a model for continuous monitoring and tracking of depression in both short-term and long-term periods is presented. This model is based on a new qualitative reasoning approach.

METHOD

This paper describes the patient assessment unit of a major depression monitoring system that has three modules: a patient progress module, based on a qualitative reasoning model; an analysis module, based on expert knowledge and a rules-based system; and the communication module. These modules base their reasoning mainly on data of the patient's mood and life events that are obtained from the patient's responses to specific questionnaires (PHQ-9, M.I.N.I. and Brugha). The patient assessment unit provides synthetic and useful information for both patients and physicians, keeps them informed of the progress of patients, and alerts them in the case of necessity.

RESULTS

A set of hypothetical patients has been defined based on clinically possible cases in order to perform a complete scenario evaluation. The results that have been verified by psychiatrists suggest the utility of the platform.

CONCLUSION

The proposed major depression monitoring system takes advantage of current technologies and facilitates more frequent follow-up of the progress of patients during their home stay after being diagnosed with depression by a psychiatrist.

Transdiagnostic Cognitive Behavioral Therapy Versus Treatment as Usual in Adult Patients With Emotional Disorders in the Primary Care Setting (PsicAP Study): Protocol for a Randomized Controlled Trial

Background

Demand for primary care (PC) services in Spain exceeds available resources. Part of this strong demand is due to the high prevalence of emotional disorders (EDs)—anxiety, depression, and somatic symptom disorders—and related comorbidities such as pain or chronic illnesses. EDs are often under- or misdiagnosed by general practitioners (GPs) and, consequently, treatment is frequently inadequate.

Objective

We aim to compare the short- and long-term effectiveness of group-delivered transdiagnostic cognitive behavioral therapy (TD-CBT) versus treatment as usual (TAU) in the treatment of EDs in the PC setting in Spain. We also aim to compare the effect of these treatments on disability, quality of life, cognitive-emotional factors, and treatment satisfaction.

Methods

Here we present the study design of a two-arm, single-blind, randomized controlled trial (N=1126) to compare TAU to TD-CBT for EDs. TAU will consist primarily of pharmacological treatment and practical advice from the GP while TD-CBT will be administered in seven 90-minute group sessions held over a period ranging from 12 to 14 weeks. Psychological assessments are carried out at baseline (ie, pretreatment); posttreatment; and at 3-, 6-, and 12-month follow-up. The study is conducted in approximately 26 PC centers from the National Health System in Spain.

Results

This study was initiated in December 2013 and will remain open to new participants until recruitment and follow-up has been completed. We expect all posttreatment evaluations to be completed by December 2017, and follow-up will end in December 2018.

Conclusions

We expect the TD-CBT group to have better results compared to TAU on all posttreatment measures and that this improvement will be maintained during follow-up. This project could serve as a model for use in other areas or services of the National Health System in Spain and even in other countries.

ClinicalTrial

International Standard Randomized Controlled Trial Number (ISRCTN): 58437086; http://www.isrctn.com/ISRCTN58437086 (Archived by WebCite at http://www.webcitation.org/6mbYjQSn3)

[Impact of pharmaceutical intervention in preventing relapses in depression in Primary Care]

OBJECTIVE

To evaluate the long-term impact of a brief pharmacist intervention (PI) compared with usual care (UC) on prevention of depression relapse.

DESIGN

randomised controlled clinical trial

SETTING

Primary Care

PARTICIPANTS

Of the 179 depressed patients initiating antidepressants, the 113 whose clinical symptoms had remitted (main definition) at 6 months assessment were selected for this secondary study (PI=58; UC=55).

INTERVENTION

PI was an interview to promote medication adherence when patients get antidepressants from pharmacy.

MAIN MEASUREMENTS

Baseline, 3 months, and six-months follow-up assessments were made. The severity of depressive symptoms was evaluated with PHQ9. Patients presenting a remission of symptoms were selected. The patient medical records were reviewed to identify a relapse in the following 12 months by using 4 indicators.

RESULTS

There was a lower proportion of patients that relapsed in the PI group than in the UC group 18 months after initiation of treatment, but the difference was not statistically significant either in the intent-to-treat analysis (OR=0.734 [95%CI; 0.273-1.975]) or the per-protocol analysis (OR=0.615 [95%CI; 0.183 -2.060]). All the sensitivity analyses showed consistent results. The sample size and adherence to the protocol in the intervention group were low.

CONCLUSION

PI group showed a non-statistically significant tendency towards presenting fewer relapses. This could be related to the improvement in adherence among patients that received the intervention.

Chronic physical comorbidity burden and the quality of depression treatment in primary care: a systematic review

OBJECTIVE

We examined whether the treatment and follow-up care for depression in routine primary care differs between adults with higher chronic physical comorbidity burden compared to adults with lower chronic physical comorbidity burden and explored factors leading to divergent results across studies.

METHODS

We conducted a systematic review of English and French articles using Medline, Embase, PsycINFO, CINAHL and Cochrane Controlled Trials Register from inception to July 2013. Reference list and reverse citation searches were also conducted. Search terms included depression, primary care, general practitioner, chronic disease and comorbidity. Study eligibility required inclusion of relevant quality indicators and data contrasting participants with higher and lower chronic physical comorbidity burden. Study selection and quality appraisal were carried out independently by two review authors. A narrative synthesis of results was performed.

RESULTS

Our search yielded 5817 unique citations and 46 studies met inclusion criteria. Studies provided data on quality of pharmacotherapy (n=28), psychotherapy (n=4), combined measures of treatment quality (n=14), and follow-up care (n=9). Across studies, evidence that higher chronic physical comorbidity burden was associated with lower depression treatment or follow-up care quality was reported in 13 studies whereas evidence for the opposite relationship was reported in 15 studies. Four studies reported mixed results and 14 studies observed no relationships between comorbidity burden and depression treatment or follow-up care quality.

CONCLUSION

Review findings suggest that chronic physical comorbidity does not consistently lead to lower quality of depression treatment or follow-up care in primary care.

The influence of comorbid chronic physical conditions on depression recognition in primary care: a systematic review

OBJECTIVE

People with depression often suffer from comorbid chronic physical conditions and such conditions are widely believed to interfere with primary care providers' ability to recognize their depression. We aimed to examine the evidence related to the influence of chronic physical comorbidity burden on depression recognition in routine, community-based primary care settings.

METHODS

We conducted a systematic review of the literature on depression recognition in primary care that featured comparisons between patient groups with higher and lower burdens of chronic physical comorbidity. Medline, Embase, PsycINFO, CINAHL and Cochrane Central Register of Controlled Trials were searched from inception to July 2013. Reference list and reverse citation searches were also performed. A narrative synthesis was conducted given clinical and methodological heterogeneity between studies.

RESULTS

Our search identified 5817 unique citations, out of which we identified 13 studies reporting data on the relationship between chronic physical comorbidity burden and depression recognition in primary care. Four studies provided some evidence that higher chronic physical comorbidity burden negatively affected primary care providers' ability to recognize depression. In contrast, two studies reported higher rates of recognition in patients with higher comorbidity burden and seven studies reported no differences in recognition between comorbidity groups.

CONCLUSION

Chronic physical comorbidity burden does not consistently affect depression recognition negatively in primary care. Instead, recognition seems to vary depending on the specific conditions or combination of conditions examined. Methodological choices of authors, such as approaches to measuring recognition and chronic medical comorbidity, also likely explain some divergent results across studies.

Cost-effectiveness of active monitoring versus antidepressants for major depression in primary health care: a 12-month non-randomized controlled trial (INFAP study)

BACKGROUND

Clinical practice guidelines for the treatment of major depressive disorder (MDD) recommend antidepressants for patients with moderate-severe depression and active monitoring for patients with mild-moderate symptoms. The feasibility and efficiency of active monitoring has not been proven conclusively. The aim of this study is to evaluate the cost-effectiveness of active monitoring in comparison to antidepressants for primary care patients with mild-moderate MDD.

METHODS/DESIGN

This is a 12-month follow-up multicenter observational prospective controlled trial. Patients are enrolled in 12 primary care centers in Barcelona (Spain). Eligible patients are adults (≥18 years-old) with a new episode of MDD that sign a written consent to participate. This is a naturalistic study in which general practitioners (GPs) use their professional judgment to allocate patients into active monitoring or antidepressants groups. GPs treat the patients following their clinical criteria. At baseline, GPs complete a questionnaire (sociodemographic/job characteristics, training, attitude towards depression, interest on mental health and participation in communication groups). Patients' measurements take place at baseline and after six and 12 months. Main outcome measures include severity of depression (PHQ-9), health-related quality of life (EuroQol-5D) and use of healthcare and social care services (Client Service Receipt Inventory). Secondary outcomes include diagnosis of MDD according to DSM-IV diagnostic criteria (SCID-I), disability (WHO-DAS), anxiety (BAI), comorbidities, medication side-effects and beliefs about medicines (BMQ). The analysis will be done according to the intention to treat analysis. Missing data will be imputed using multiple imputation by chained equations. To minimize the bias resulting from the lack of randomization, a propensity score will be used. Incremental effects and costs between groups will be modelled in each of the imputed databases using multivariate generalized linear models and then combined as per Rubin's rules. Propensity scores will be used to adjust the models. Incremental cost-effectiveness ratios will be calculated by dividing the difference in costs between groups by the difference in effects. To deal with the uncertainty, resampling techniques with bootstrapping will be used and cost-effectiveness planes and cost-effectiveness acceptability curves will be constructed. A series of sensitivity analyses will be performed.

DISCUSSION

Given the high burden and costs generated by depressive disorder, it is important that general practitioners treat major depression efficiently. Recent evidence has suggested that antidepressants have low benefits for patients with mild to moderate major depression. For such cases of depression, active monitoring exists as a treatment option, but it is not without difficulties for implementation and its effectiveness and efficiency have not been demonstrated conclusively. The results of the study will provide information on which is the most efficient approach to treat patients with mild to moderate major depression in primary care.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT02245373.

Diagnostic accuracy and adequacy of treatment of depressive and anxiety disorders: A comparison of primary care and specialized care patients

BACKGROUND

Clinical diagnosis of depressive and anxiety disorders has poor sensitivity, and treatment is often not guideline-concordant. This longitudinal study aims to compare diagnostic validity and treatment adequacy in primary care (PC) and specialized care (SC), to assess associated risk factors, and to evaluate their impact on clinical outcome at one-month and three-month follow-ups.

METHODS

Two hundred twelve patients with depressive and anxious symptoms were recruited from 3 PC and 1 SC centers in Barcelona, Spain. Sensitivity and specificity were calculated comparing medical records׳ diagnoses with a reference (MINI interview). Adequate treatment was defined according to clinical guidelines. Logistic regression was used to estimate associations with risk factors. Impact on outcome was assessed with MANOVA models.

RESULTS

Valid diagnosis of depression was more frequent in patients attending SC. Sensitivity for depression was 0.75 in SC and 0.49 in PC (adjusted OR=17.34, 95% CI=4.73-63.61). Detection of anxious comorbidity in depressed patients was low (50%) in SC. Treatment adequacy of depressive disorders was higher in SC than in PC (94.4% vs. 80.6%, adjusted OR=8.11, 95% CI=1.39-47.34). Depression severity was associated with valid diagnosis.

LIMITATIONS

Only four disorders (major depression, dysthymia, panic disorder and generalized anxiety disorder) were evaluated with the MINI interview in a convenience clinical sample. Treatment dosage was unavailable.

CONCLUSIONS

Our results suggest that GPs need tools to improve detection of depression and its severity. Psychiatrists should enhance recognition of anxious comorbidity. Evaluation of the impact on outcome deserves further research.

Development and impact of computerised decision support systems for clinical management of depression: A systematic review

One of the proposals for improving clinical practice is to introduce computerised decision support systems (CDSS) and integrate these with electronic medical records. Accordingly, this study sought to systematically review evidence on the effectiveness of CDSS in the management of depression. A search was performed in Medline, EMBASE and PsycInfo, in order to do this. The quality of quantitative studies was assessed using the SIGN method, and qualitative studies using the CASPe checklist. Seven studies were identified (3 randomised clinical trials, 3 non-randomised trials, and one qualitative study). The CDSS assessed incorporated content drawn from guidelines and other evidence-based products. In general, the CDSS had a positive impact on different aspects, such as the screening and diagnosis, treatment, improvement in depressive symptoms and quality of life, and referral of patients. The use of CDSS could thus serve to optimise care of depression in various scenarios by providing recommendations based on the best evidence available and facilitating decision-making in clinical practice.

New roles for pharmacists in community mental health care: a narrative review

Medicines are a major treatment modality for many mental illnesses, and with the growing burden of mental disorders worldwide pharmacists are ideally positioned to play a greater role in supporting people with a mental illness. This narrative review aims to describe the evidence for pharmacist-delivered services in mental health care and address the barriers and facilitators to increasing the uptake of pharmacist services as part of the broader mental health care team. This narrative review is divided into three main sections: (1) the role of the pharmacist in mental health care in multidisciplinary teams and in supporting early detection of mental illness; (2) the pharmacists' role in supporting quality use of medicines in medication review, strategies to improve medication adherence and antipsychotic polypharmacy, and shared decision making; and (3) barriers and facilitators to the implementation of mental health pharmacy services with a focus on organizational culture and mental health stigma. In the first section, the review presents new roles for pharmacists within multidisciplinary teams, such as in case conferencing or collaborative drug therapy management; and new roles that would benefit from increased pharmacist involvement, such as the early detection of mental health conditions, development of care plans and follow up of people with mental health problems. The second section describes the impact of medication review services and other pharmacist-led interventions designed to reduce inappropriate use of psychotropic medicines and improve medication adherence. Other new potential roles discussed include the management of antipsychotic polypharmacy and involvement in patient-centered care. Finally, barriers related to pharmacists' attitudes, stigma and skills in the care of patients with mental health problems and barriers affecting pharmacist-physician collaboration are described, along with strategies to reduce mental health stigma.

Validation of clinical symptom IRT scores for diagnosis and severity assessment of common mental disorders

PURPOSE

We studied the validity and responsiveness of an item response theory (IRT) scoring method for assessing major depressive episode (MDE) and generalized anxiety disorder (GAD) severity based on direct assessment of DSM-IV-TR symptoms.

METHODS

Prospective cohort study (baseline, 1-month, 3-months assessments) of patients seeking help for incident or aggravated mood or anxiety symptoms from primary, outpatient and inpatient mental health centers (N = 244; 67.81 % active cases - 100 % under psychiatric treatment). The drop-out rate at 3 months was 24.89 %. Patients were assessed at each follow-up for presence/absence of DSM-IV symptoms of MDE (nine symptoms) and GAD (eight symptoms). IRT scores for depression (INS-D) and anxiety (INS-G), based on response patterns, were obtained by means of a 2-parameter model. Diagnostic accuracy was assessed with receiver operating characteristic analysis, using a blinded MINI interview as gold standard. Scores' construct validity was compared with external clinician-administered (Hamilton Depression Rating Scale, HRSD; Hamilton Anxiety Rating Scale, HAM-A) and self-reported severity measures (PHQ-9; Beck Anxiety Inventory-Subjective Aspects, BAI-Sub). Responsiveness was analyzed based on the evolution of HRSD and HAM-A scores.

RESULTS

Both severity scores showed excellent reliability (INS-D: 0.92; INS-G: 0.93) and yielded high diagnostic accuracy (INS-D: AUC = 0.96; INS-G: AUC = 0.91) with respect to MINI diagnoses. INS-D and INS-G had higher correlations with clinician-administered measures of the same disorder (INS-D-HRSD: 0.73; INS-G-HAM-A: 0.53) than with self-reported measures (INS-D-PHQ-9: 0.69; INS-G-BAI-Sub: 0.49). Patients who recovered during follow-up showed important decreases in severity (Cohen's d INS-D:-1.38; INS-G: -1.75). About 90 % variance of INS-D and INS-G score changes over time was associated with changes in clinical status.

CONCLUSIONS

INS-D and INS-G are short reliable, valid, and responsive measures that can be used for diagnostic and severity assessment of mood and anxiety disorders in outpatient care.

Collaborative care for depression in European countries: a systematic review and meta-analysis

OBJECTIVES

This is a systematic review and meta-analysis of randomized controlled trials (RCTs) investigating the effectiveness of collaborative care compared to Primary Care Physician's (PCP's) usual care in the treatment of depression, focusing on European countries.

METHODS

A systematic review of English and non-English articles, from inception to March 2014, was performed using database PubMed, British Nursing Index and Archive, Ovid Medline (R), PsychINFO, Books@Ovid, PsycARTICLES Full Text, EMBASE Classic+Embase, DARE (Database of Abstract of Reviews of Effectiveness) and the Cochrane Library electronic database. Search term included depression, collaborative care, physician family and allied health professional. RCTs comparing collaborative care to usual care for depression in primary care were included. Titles and abstracts were independently examined by two reviewers, who extracted from the included trials information on participants' characteristics, type of intervention, features of collaborative care and type of outcome measure.

RESULTS

The 17 papers included, regarding 15 RCTs, involved 3240 participants. Primary analyses showed that collaborative care models were associated with greater improvement in depression outcomes in the short term, within 3 months (standardized mean difference (SMD) -0.19, 95% CI=-0.33; -0.05; p=0.006), medium term, between 4 and 11 months (SMD -0.24, 95% CI=-0.39; -0.09; p=0.001) and medium-long term, from 12 months and over (SMD -0.21, 95% CI=-0.37; -0.04; p=0.01), compared to usual care.

CONCLUSIONS

The present review, specifically focusing on European countries, shows that collaborative care is more effective than treatment as usual in improving depression outcomes.

Persistence in the long term of the effects of a collaborative care programme for depression in primary care

BACKGROUND

A collaborative care programme for depression in primary care has proven clinical effectiveness over a 12-months period. Because depression tends to relapse and to chronic course, our aim was to determine whether the effectiveness observed in the first year persists during 3 years of monitoring.

METHODS

Randomised controlled trial with twenty primary care centres were allocated to intervention group or usual care group. The intervention consisted of a collaborative care programme with clinical, educational and organisational procedures. Outcomes were monitored by a blinded interviewer at baseline, 12 and 36 months. Clinical outcomes were response to treatment and remission rates, depression severity and health-related quality of life.

TRIAL REGISTRATION

ISRCTN16384353.

RESULTS

A total of 338 adult patients with major depression (DSM-IV) were assessed at baseline. At 36 months, 137 patients in the intervention group and 97 in the control group were assessed (attrition 31%). The severity of depression (mean Patient Health Questionnaire-9 score) was 0.95 points lower in the intervention group [6.31 versus 7.25; p=0.324]. The treatment response rate was 5.6% higher in the intervention group than in the control group [66.4% versus 60.8%; p=0.379] and the remission rate was 9.2% higher [57.7% versus 48.5%; p=0.164]. No difference reached statistical significance.

LIMITATIONS

The number of patients lost (31%) before follow-up may have introduced a bias.

CONCLUSIONS

Clinical benefits shown in the first year were not maintained beyond: at 36 months the differences between the control group and the intervention group reduced in all the analysed variables.

Cost-effectiveness analysis of a collaborative care programme for depression in primary care

BACKGROUND

Collaborative care programmes lead to better outcomes in the management of depression. A programme of this nature has demonstrated its effectiveness in primary care in Spain. Our objective was to evaluate the cost-effectiveness of this programme compared to usual care.

METHODS

A bottom-up cost-effectiveness analysis was conducted within a randomized controlled trial (2007-2010). The intervention consisted of a collaborative care programme with clinical, educational and organizational procedures. Outcomes were monitored over a 12 months period. Primary outcomes were incremental cost-effectiveness ratios (ICER): mean differences in costs divided by quality-adjusted life years (QALY) and mean differences in costs divided by depression-free days (DFD). Analyses were performed from a healthcare system perspective (considering healthcare costs) and from a society perspective (including healthcare costs plus loss of productivity costs).

RESULTS

Three hundred and thirty-eight adult patients with major depression were assessed at baseline. Only patients with complete data were included in the primary analysis (166 in the intervention group and 126 in the control group). From a healthcare perspective, the average incremental cost of the programme compared to usual care was €182.53 (p<0.001). Incremental effectiveness was 0.045 QALY (p=0.017) and 40.09 DFD (p=0.011). ICERs were €4,056/QALY and €4.55/DFD. These estimates and their uncertainty are graphically represented in the cost-effectiveness plane.

LIMITATIONS

The amount of 13.6% of patients with incomplete data may have introduced a bias. Available data about non-healthcare costs were limited, although they may represent most of the total cost of depression.

CONCLUSIONS

The intervention yields better outcomes than usual care with a modest increase in costs, resulting in favourable ICERs. This supports the recommendation for its implementation.

Patients' opinions about knowing their risk for depression and what to do about it. The predictD-qualitative study

BACKGROUND

The predictD study developed and validated a risk algorithm for predicting the onset of major depression in primary care. We aimed to explore the opinion of patients about knowing their risk for depression and the values and criteria upon which these opinions are based.

METHODS

A maximum variation sample of patients was taken, stratified by city, age, gender, immigrant status, socio-economic status and lifetime depression. The study participants were 52 patients belonging to 13 urban health centres in seven different cities around Spain. Seven Focus Groups (FGs) were given held with primary care patients, one for each of the seven participating cities.

RESULTS

The results showed that patients generally welcomed knowing their risk for depression. Furthermore, in light of available evidence several patients proposed potential changes in their lifestyles to prevent depression. Patients generally preferred to ask their General Practitioners (GPs) for advice, though mental health specialists were also mentioned. They suggested that GPs undertake interventions tailored to each patient, from a "patient-centred" approach, with certain communication skills, and giving advice to help patients cope with the knowledge that they are at risk of becoming depressed.

CONCLUSIONS

Patients are pleased to be informed about their risk for depression. We detected certain beliefs, attitudes, values, expectations and behaviour among the patients that were potentially useful for future primary prevention programmes on depression.