Screening and case-finding instruments for depression: a meta-analysis

Prevalence of depression and associated symptoms among patients attending primary healthcare facilities: a cross-sectional study in Nepal

BACKGROUND

Depression is a prevalent mental health condition worldwide but there is limited data on its presentation and associated symptoms in primary care settings in low- and middle-income countries like Nepal. This study aims to assess the prevalence of depression, its hallmark and other associated symptoms that meet the Diagnostic and Statistical Manual (DSM-5) criteria in primary healthcare facilities in Nepal. The collected information will be used to determine the content of a mobile app-based clinical guidelines for better detection and management of depression in primary care.

METHODS

A total of 1,897 adult patients aged 18-91 (63.1% women) attending ten primary healthcare facilities in Jhapa, a district in eastern Nepal, were recruited for the study between August 2, 2021, and March 25, 2022. Trained research assistants conducted face-to-face interviews in private spaces before the consultation with healthcare providers. Depression symptoms, including hallmark symptoms, was assessed using the validated Nepali version of the Patient Health Questionnaire (PHQ-9).

RESULTS

One in seven (14.5%) individuals attending primary health care facilities in Jhapa met the threshold for depression based on a validated cut-off score ( > = 10) on the PHQ-9. The most commonly reported depressive symptoms were loss of energy and sleep difficulties. Approximately 25.4% of women and 18.9% of men endorsed at least one of the two hallmark symptoms on the PHQ-9. Using a DSM-5 algorithm (at least one hallmark symptom and five or more total symptoms) to score the PHQ-9, 6.3% of women and 4.3% of men met the criteria for depression. The intra-class correlation coefficient for PHQ-9 total scores by health facility as the unit of clustering was 0.01 (95% confidence interval, 0.00-0.04).

CONCLUSION

Depression symptoms are common among people attending primary healthcare facilities in Nepal. However, the most common symptoms are not the two hallmark criteria. Use of total scores on a screening tool such as the PHQ-9 risks overestimating the prevalence and generating false positive diagnoses. Compared to using cut off scores on screening tools, training health workers to first screen for hallmark criteria may increase the accuracy of identification and lead to better allocation of treatment resources.

Psychometric network analysis of the Patient Health Questionnaire-4 (PHQ-4) in Paraguayan general population

BACKGROUND

Depression and anxiety are two of the most prevalent and disabling mental disorders worldwide, both in the general population and in outpatient clinical settings.

OBJECTIVE

This study aimed to analyze the psychometric properties of the Patient Health Questionnaire-4 (PHQ-4) based on network analysis metrics.

METHODS

A total of 911 Paraguayans (23.71% women and 76.29% men; mean age 31.25 years, SD = 10.63), selected by non-probabilistic convenience sampling, participated in the study. Network analysis was used to evaluate the internal structure, reliability, and measurement invariance between men and women.

RESULTS

The results revealed that the PHQ-4 is a unidimensional measure through Exploratory Graph Analysis (EGA). Reliability, through structural consistency, identified that 100% of the time, only a single dimension was obtained, and all items remained stable, as they were always replicated within the empirical dimension. The unidimensional structure has shown evidence of configural invariance; therefore, the network structure functioned equally among the different sex groups.

CONCLUSION

The PHQ-4 presented optimal preliminary evidence of validity based on its internal structure, reliability, and invariance between sexes. Therefore, it may be useful as an accurate and brief measure of anxiety and depressive symptoms in the Paraguayan context.

Developing interventions to improve detection of depression in primary healthcare settings in rural Ethiopia

BACKGROUND

The poor detection of depression in primary healthcare (PHC) in low- and middle-income countries continues to threaten the plan to scale up mental healthcare coverage.

AIMS

To describe the process followed to develop an intervention package to improve detection of depression in PHC settings in rural Ethiopia.

METHOD

The study was conducted in Sodo, a rural district in south Ethiopia. The Medical Research Council's framework for the development of complex interventions was followed. Qualitative interviews, observations of provider-patient communication, intervention development workshops and pre-testing of the screening component of the intervention were conducted to develop the intervention.

RESULTS

A multicomponent intervention package was developed, which included (a) manual-based training of PHC workers for 10 days, adapted from the World Health Organization's Mental Health Gap Action Programme Intervention Guide, with emphasis on depression, locally identified depressive symptoms, communication skills, training by people with lived experience and active learning methods; (b) screening for culturally salient manifestations of depression, using a four-item tool; (c) raising awareness among people attending out-patient clinics about depression, using information leaflets and health education; and (d) system-level interventions, such as supportive supervision, use of posters at health facilities and a decision support mobile app.

CONCLUSIONS

This contextualised, multicomponent intervention package may lead to meaningful impact on the detection of depression in PHC in rural Ethiopia and similar settings. The intervention will be pilot tested for feasibility, acceptability and effectiveness before its wider implementation.

Associations of Discrimination, Low Social Support, and Limited English Proficiency with Depression in South Asian Immigrants

South Asians face stressors as a growing immigrant group in America. Work is needed to understand how these stressors impact mental health to identify those at risk of depression and design interventions. This study examined associations of three stressors (discrimination, low social support, limited English proficiency) with depressive symptoms in South Asians. Using cross-sectional data from the Mediators of Atherosclerosis in South Asians Living in America study (N = 887), we fit logistic regression models to evaluate independent/joint effects of three stressors on depression. Overall prevalence of depression was 14.8%; 69.2% of those with all three stressors had depression. The combined effect of high discrimination/low social support was significantly greater than the sum of the individual factors. Experiences of discrimination, low social support, or limited English proficiency, as well as a combination of these factors, should be considered when diagnosing/treating South Asian immigrants in a culturally appropriate manner.

What Can Facial Movements Reveal? Depression Recognition and Analysis Based on Optical Flow Using Bayesian Networks

Recent evidence have demonstrated that facial expressions could be a valid and important aspect for depression recognition. Although various works have been achieved in automatic depression recognition, it is a challenge to explore the inherent nuances of facial expressions that might reveal the underlying differences between depressed patients and healthy subjects under different stimuli. There is a lack of an undisturbed system that monitors depressive patients' mental states in various free-living scenarios, so this paper steps towards building a classification model where data collection, feature extraction, depression recognition and facial actions analysis are conducted to infer the differences of facial movements between depressive patients and healthy subjects. In this study, we firstly present a plan of dividing facial regions of interest to extract optical flow features of facial expressions for depression recognition. We then propose facial movements coefficients utilising discrete wavelet transformation. Specifically, Bayesian Networks equipped with construction of Pearson Correlation Coefficients based on discrete wavelet transformation is learnt, which allows for analysing movements of different facial regions. We evaluate our method on a clinically validated dataset of 30 depressed patients and 30 healthy control subjects, and experiments results obtained the accuracy and recall of 81.7%, 96.7%, respectively, outperforming other features for comparison. Most importantly, the Bayesian Networks we built on the coefficients under different stimuli may reveal some facial action patterns of depressed subjects, which have a potential to assist the automatic diagnosis of depression.

Community-based integrated care for patients with diabetes and depression (CIC-PDD): study protocol for a cluster randomized controlled trial

BACKGROUND

Managing the multimorbidity of diabetes and depression remains a clinical challenge for patients and healthcare professionals due to the fragmented healthcare delivery system. To effectively cope with multimorbidity, there is an urgent need for the health system to transform into people-centered integrated care (PCIC) system globally. Therefore, this paper describes the protocol of community-based integrated care for patients with diabetes and depression (CIC-PDD) project, an integrated and shared-care intervention project.

METHODS/DESIGN

CIC-PDD project is conducted in two phases, namely "care model development" and "implementation and evaluation." In the first phase, CIC-PDD model was designed and developed based on the four criteria of collaborative care model (CCM) and was subsequently adjusted to align with the context of China. The second phase entails a pragmatic, two-arm, cluster randomized controlled implementation trial, accompanied by parallel mixed-methods process evaluation and cost-effectiveness analysis.

DISCUSSION

We anticipate CIC-PDD project will facilitate the development and innovation of PCIC model and related theories worldwide, particularly in low- and middle-income countries (LMICs). In addition, CIC-PDD project will contribute to the exploration of primary health care (PHC) in addressing the multimorbidity of physical and mental health issues.

TRIAL REGISTRATION

ClinicalTrials.gov registration ChiCTR2200065608 (China Clinical Trials Registry https://www.chictr.org.cn ). Registered on November 9, 2022.

Association Between Antenatal Depression Symptom Trajectories and Preterm Birth

OBJECTIVE

To evaluate whether, among pregnant people referred for mental health care, improvement in antenatal depression symptoms before delivery was associated with a reduction in preterm birth.

METHODS

This retrospective cohort study included all pregnant people referred to a perinatal collaborative care program for mental health care who delivered between March 2016 and March 2021. Those referred to the collaborative care program had access to subspecialty mental health treatment, including psychiatric consultation, psychopharmacotherapy, and psychotherapy. Depression symptoms were monitored with the self-reported PHQ-9 (Patient Health Questionnarie-9) screens in a patient registry. Antenatal depression trajectories were determined by comparing the earliest prenatal PHQ-9 score after collaborative care referral with the score closest to delivery. Trajectories were categorized as improved, stable, or worsened according to whether PHQ-9 scores changed by at least 5 points. Bivariable analyses were performed. A propensity score was generated to control for confounders that were significantly different on bivariable analyses according to trajectories. This propensity score was then included in multivariable models.

RESULTS

Of the 732 pregnant people included, 523 (71.4%) had mild or more severe depressive symptoms (PHQ-9 score 5 or higher) on their initial screen. Antenatal depression symptoms improved in 256 (35.0%), remained stable in 437 (59.7%), and worsened in 39 (5.3%); the corresponding incidence of preterm birth was 12.5%, 14.0%, and 30.8%, respectively ( P =.009). Compared with those with a worsened trajectory, pregnant people who had an improved antenatal depression symptom trajectory had a significantly decreased odds of preterm birth (adjusted odds ratio 0.37, 95% CI 0.15-0.89).

CONCLUSION

Compared with worsened symptoms, an improved antenatal depression symptom trajectory is associated with decreased odds of preterm birth for pregnant people referred for mental health care. These data further underscore the public health importance of incorporating mental health care into routine obstetric care.

Translating measurement into practice: Brazilian norms for the Patient Health Questionnaire (PHQ-9) for assessing depressive symptoms

OBJECTIVE

To provide practical norms for measuring depressive symptoms using the Patient Health Questionnaire 9 (PHQ-9) in Brazil using a state-of-art psychometrics analysis.

METHODS

We used a large and representative Brazilian dataset from the 'Pesquisa Nacional de Saúde - 2019'(PNS-2019), which includes 90,846 Brazilian citizens. First, to assess the scale structure, we assessed the unidimensional model using Confirmatory Factor Analysis (CFA). Second, we used Item Response Theory (IRT) to characterize depressive symptoms´ distribution. Then, we linked summed- and meanbased PHQ-9 scores with the IRT-based score by using generalized additive models. Finally, we generated percentiles, T scores, and a newly developed score, called D scores (decimal scores), to describe the PHQ-9 norms for Brazilian population.

RESULTS

CFA revealed a good fit to the unidimensional model, showing to be invariant to age and sex. IRT captured item-level information of the latent trait (reliable from 1 to 3 standard deviations above the mean). Brazilian norms were presented using summed-, T-scores, and D-scores.

CONCLUSIONS

This is the first study to define Brazilian´s norms for the PHQ-9 among a large representative sample, using robust psychometric tools. More precise PHQ-9 scores are now available and may be widely used in primary and specialized clinical care settings.

Interventions to improve the detection of depression in primary healthcare: systematic review

BACKGROUND

Several studies have been conducted on the effect of interventions on the detection of depression in primary healthcare (PHC). Systematic reviews have also been done on the effectiveness of separate interventions. However, systematic reviews are not done on the comparative effectiveness of several interventions. This study, therefore, aimed at synthesizing the global evidence on the effectiveness of interventions to improve the detection of depression in PHC.

METHODS

We searched PubMed, Embase, PsycINFO, Web of Science, Cochrane Database of Systematic Reviews, Global Index Medicus, African Index Medicus, and African Journals Online, from the inception of the databases to until the 4th week of April 2020. We also searched references of the included articles. We included randomized trials, cluster randomized trials, or quasi-experimental studies, which evaluated the effectiveness of an intervention to improve detection of depression in the PHC setting. Two of the review authors independently extracted data from the included studies. The methodological quality of the included studies was assessed using the Assessment Tool for Quantitative Studies developed by the Effective Public Health Practice Project. The protocol for the review was registered on PROSPERO (CRD42020166291).

RESULTS

Of 23,305 records identified, we included 58 articles in the review. Diverse types of interventions were evaluated to improve clinician diagnosis of depression in the PHC setting. Interventions related to implementation of guidelines, screening with feedback, educational interventions which incorporated active learning and clinical practice, and disclosure of screening results were found to be mostly effective. Interventions which combined education, screening, and feedback were particularly more effective. Most of the included studies were weak or moderate in their methodological quality.

CONCLUSIONS

Our review indicates that implementation of a single type of intervention does not improve the detection of depression in PHC. Combining aspects of each type of intervention which are more effective may be useful. Education and training interventions which include more simulation and role playing are found to be effective over time. Most of the studies conducted in the area are from high-income countries and are weak in their methodological quality. There is need to conduct more number of studies in low-income settings.

Standardized Versus Tailored Implementation of Measurement-Based Care for Depression in Community Mental Health Clinics

Objective

Measurement-based care (MBC) is an evidence-based practice that is rarely integrated into psychotherapy. The authors sought to determine whether tailored MBC implementation can improve clinician fidelity and depression outcomes compared with standardized implementation.

Methods

This cluster-randomized trial enrolled 12 community behavioral health clinics to receive 5 months of implementation support. Clinics randomized to the standardized implementation received electronic health record data captured with the nine-item Patient Health Questionnaire (PHQ-9), a needs assessment, clinical training, guidelines, and group consultation in MBC fidelity. Tailored implementation support included these strategies, but the training content was tailored to clinics’ barriers to MBC, and group consultation centered on overcoming these barriers. Clinicians (N=83, tailored; N=71, standardized) delivering individual psychotherapy to 4,025 adults participated. Adult patients (N=87, tailored; N=141, standardized) contributed data for depression outcome analyses.

Results

The odds of PHQ-9 completion were lower in the tailored group at baseline (odds ratio [OR]=0.28, 95% CI=0.08–0.96) but greater at 5 months (OR=3.39, 95% CI=1.00–11.48). The two implementation groups did not differ in full MBC fidelity. PHQ-9 scores decreased significantly from baseline (mean±SD=17.6±4.4) to 12 weeks (mean=12.6±5.9) (p<0.001), but neither implementation group nor MBC fidelity significantly predicted PHQ-9 scores at week 12.

Conclusions

Tailored MBC implementation outperformed standardized implementation with respect to PHQ-9 completion, but discussion of PHQ-9 scores in clinician-patient sessions remained suboptimal. MBC fidelity did not predict week-12 depression severity. MBC can critically inform collaborative adjustments to session or treatment plans, but more strategic system-level implementation support or longer implementation periods may be needed.

Clinical effectiveness of care managers in collaborative primary health care for patients with depression: 12- and 24-month follow-up of a pragmatic cluster randomized controlled trial

Background

In previous studies, we investigated the effects of a care manager intervention for patients with depression treated in primary health care. At 6 months, care management improved depressive symptoms, remission, return to work, and adherence to anti-depressive medication more than care as usual. The aim of this study was to compare the long-term effectiveness of care management and usual care for primary care patients with depression on depressive symptoms, remission, quality of life, self-efficacy, confidence in care, and quality of care 12 and 24 months after the start of the intervention.

Methods

Cluster randomized controlled trial that included 23 primary care centers (11 intervention, 12 control) in the regions of Västra Götaland and Dalarna, Sweden. Patients ≥18 years with newly diagnosed mild to moderate depression (n = 376: 192 intervention, 184 control) were included. Patients at intervention centers co-developed a structured depression care plan with a care manager. Via 6 to 8 telephone contacts over 12 weeks, the care manager followed up symptoms and treatment, encouraged behavioral activation, provided education, and communicated with the patient’s general practitioner as needed. Patients at control centers received usual care. Adjusted mixed model repeated measure analysis was conducted on data gathered at 12 and 24 months on depressive symptoms and remission (MADRS-S); quality of life (EQ5D); and self-efficacy, confidence in care, and quality of care (study-specific questionnaire).

Results

The intervention group had less severe depressive symptoms than the control group at 12 (P = 0.02) but not 24 months (P = 0.83). They reported higher quality of life at 12 (P = 0.01) but not 24 months (P = 0.88). Differences in remission and self-efficacy were not significant, but patients in the intervention group were more confident that they could get information (53% vs 38%; P = 0.02) and professional emotional support (51% vs 40%; P = 0.05) from the primary care center.

Conclusions

Patients with depression who had a care manager maintained their 6-month improvements in symptoms at the 12- and 24-month follow-ups. Without a care manager, recovery could take up to 24 months. Patients with care managers also had significantly more confidence in primary care and belief in future support than controls.

Trial registration

ClinicalTrials.gov identifier: NCT02378272. Submitted 2/2/2015. Posted 4/3/2015.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12875-022-01803-x.

Outcomes of psychiatric interviews and self-rated symptom scales in people on sick leave for common mental disorders: an observational study

OBJECTIVES

To investigate the correspondence between diagnoses on sick leave certificates and diagnoses made in structured psychiatric interviews. Secondary aims were to investigate length of sick leave by diagnoses on sick leave certificates, diagnoses made in structured interviews and symptom severity.

DESIGN

Observational study consisting of a secondary analysis of data from a randomised controlled trial and an observational study.

SETTING

The regions of Stockholm and Västra Götaland, Sweden.

PARTICIPANTS

480 people on sick leave for common mental disorders.

INTERVENTIONS

Participants were examined with structured psychiatric interviews and self-rated symptom severity scales.

OUTCOME MEASURES

(1) Sick leave certificate diagnoses, (2) diagnoses from the Mini International Neuropsychiatric Interview and the Self-rated Stress-Induced Exhaustion Disorder (SED) Instrument (s-ED), (3) symptom severity (Montgomery-Asberg Depression Rating Scale-self-rating version and the Karolinska Exhaustion Disorder Scale) and (4) number of sick leave days.

RESULTS

There was little correspondence between diagnoses on sick leave certificates and diagnoses made in structured psychiatric interviews. Many participants on sick leave for SED, anxiety disorder or depression fulfilled criteria for other mental disorders. Most on sick leave for SED (76%) and anxiety disorder (67%) had depression (p=0.041). Length of sick leave did not differ by certificate diagnoses. Participants with SED (s-ED) had longer sick leave than participants without SED (144 vs 84 days; 1.72 (1.37-2.16); p<0.001). More severe symptoms were associated with longer sick leave.

CONCLUSION

Diagnoses on sick leave certificates did not reflect the complex and overlapping nature of the diagnoses found in the structured psychiatric interviews. This finding is relevant to the interpretation of information from health data registers, including studies and guidelines based on these data. A result of clinical interest was that more severe symptoms predicted long-term sick leave better than actual diagnoses.

Psychometric properties of screening questionnaires to detect depression in primary healthcare setting in rural Ethiopia

BACKGROUND

Much of the research about the validity of depression screening questionnaires is on criterion validity. Evidence is scarce on the concurrent, convergent and construct validity of these measures, particularly from low-income countries. This study aimed to evaluate the psychometric properties of depression screening questionnaires in primary healthcare (PHC) in rural Ethiopia.

METHODS

A facility-based cross-sectional study was conducted with 587 participants recruited from patients attending three PHC facilities and two 'Holy water sites' (places where religious treatment is being provided). The psychometric properties of five mental health screening questionnaires were evaluated: the nine item Patient Health Questionnaire (PHQ-9), the two item version of PHQ-9 (PHQ-2), a version of PHQ-9 with two added items of irritability and noise intolerance (PHQ-11), the Patient Health Questionnaire-15 (PHQ-15), and the World Health Organization-Five Well-being Index (WHO-5). Clinical diagnosis of depression was ascertained by psychiatrists. We analyzed data using exploratory factor analysis, Spearman's rank order correlation coefficient (Rho), the Mann Whitney test of the equality of medians, univariate logistic regression and Cronbach's alpha.

RESULTS

PHQ-9, PHQ-11 and WHO-5 were found to be unidimensional, with items in each scale highly loading onto one factor (factor loadings ranging from 0.64 to 0.87). The items of each instrument were internally consistent, with Cronbach's alpha ranging from 0.72 (PHQ-2) to 0.89 (PHQ-11). Scores for all screening scales were moderately or highly correlated with each other (Rho = 0.58 to 0.98) and moderately correlated with anxiety and disability scores. Median scores of all screening scales were significantly higher in those diagnosed with depression. The association of items measuring emotional and cognitive symptoms with the diagnosis of depression was stronger than the association with items measuring somatic symptoms. Irritability and noise intolerance had higher association with depression diagnosis than PHQ-9 items.

CONCLUSION

Emotional and cognitive symptoms are more useful than somatic symptoms to predict the diagnosis of depression in the PHC context in Ethiopia. Future research should focus on testing the unidimensionality of PHQ-9, PHQ-11 and WHO-5 using confirmatory factor analysis; establishing the criterion validity of PHQ-11 and WHO-5; and on assessing test-retest reliability of all the measures.

Prevalence of psychological comorbidities in bone infection

OBJECTIVE

Bone infections represent a major complication in orthopedic and trauma surgery. Concomitant psychological disorders can significantly influence treatment outcomes. However, these are often overlooked. Therefore, we aimed to determine the nationwide epidemiology of fracture-related infection (FRI) and osteomyelitis in combination with psychological comorbidities.

METHODS

A dataset provided by the Federal Statistical Office (Destatis) consisting of annual, Germany-wide ICD-10 diagnosis codes from 2009 to 2019 was analysed. Incidences of the codes "T84.6, infection and inflammatory reaction due to internal fixation device" and "M86.-, osteomyelitis" were quantified. Proportions of secondary diagnoses of the chapter F of the ICD-10 were determined.

RESULTS

Incidences were 19.1/100,000 inhabitants for osteomyelitis and 10.5/100,000 inhabitants for FRI. Patients with psychological comorbidities constituted 14.6% of osteomyelitis cases and 26.5% of FRI cases, respectively. Between 2009 through 2019, the proportion of patients with a concomitant "F" diagnoses of the ICD-10 increased by 27.3% for osteomyelitis and by 24.1% for FRI. Most prevalent secondary diagnoses were organic, including symptomatic, mental disorders (F0), affective disorder (F3) and mental and behavioral disorders due to psychoactive substance use (F1), whereby the latter decreased over the years.

CONCLUSION

The implementation of prevention strategies, interdisciplinary approaches and psychological support in orthopaedics and trauma surgery is warranted.

Guidelines for Reasonable and Appropriate Care in the Emergency Department 2 (GRACE-2): Low-risk, recurrent abdominal pain in the emergency department

This second Guideline for Reasonable and Appropriate Care in the Emergency Department (GRACE-2) from the Society for Academic Emergency Medicine is on the topic "low-risk, recurrent abdominal pain in the emergency department." The multidisciplinary guideline panel applied the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach to assess the certainty of evidence and strength of recommendations regarding four priority questions for adult emergency department patients with low-risk, recurrent, undifferentiated abdominal pain. The intended population includes adults with multiple similar presentations of abdominal signs and symptoms recurring over a period of months or years. The panel reached the following recommendations: (1) if a prior negative computed tomography of the abdomen and pelvis (CTAP) has been performed within 12 months, there is insufficient evidence to accurately identify populations in whom repeat CTAP imaging can be safely avoided or routinely recommended; (2) if CTAP with IV contrast is negative, we suggest against ultrasound unless there is concern for pelvic or biliary pathology; (3) we suggest that screening for depression and/or anxiety may be performed during the ED evaluation; and (4) we suggest an opioid-minimizing strategy for pain control. EXECUTIVE SUMMARY: The GRACE-2 writing group developed clinically relevant questions to address the care of adult patients with low-risk, recurrent, previously undifferentiated abdominal pain in the emergency department (ED). Four patient-intervention-comparison-outcome-time (PICOT) questions were developed by consensus of the writing group, who performed a systematic review of the literature and then synthesized direct and indirect evidence to formulate recommendations, following GRADE methodology. The writing group found that despite the commonality and relevance of these questions in emergency care, the quantity and quality of evidence were very limited, and even fundamental definitions of the population and outcomes of interest are lacking. Future research opportunities include developing precise and clinically relevant definitions of low-risk, recurrent, undifferentiated abdominal pain and determining the scope of the existing populations in terms of annual national ED visits for this complaint, costs of care, and patient and provider preferences.

Depression and anxiety screening in emergency department patients with recurrent abdominal pain: An evidence synthesis for a clinical practice guideline

BACKGROUND

Recurrent abdominal pain in the emergency department (ED) might represent an opportunity for screening of depression and/or anxiety.

METHODS

We systematically searched five databases for studies evaluating the effect of screening for depression and/or anxiety in ED patients with recurrent and undifferentiated abdominal pain. Given paucity of direct evidence, we also searched for indirect evidence including studies that assessed prevalence of depression and/or anxiety in EDs (not necessarily recurrent abdominal pain), diagnostic accuracy of screening tools, effectiveness of screening in other settings, and outcomes such as repeat ED visits of patients with abdominal pain who were screened in the ED. Two methodologists evaluated certainty in the evidence using the GRADE approach.

RESULTS

A total of 4,337 citations were reviewed, and zero studies were found on the effect of screening in patients with recurrent and undifferentiated abdominal pain in the ED. A total of 35 studies were included as relevant indirect evidence. In studies of ED patients with abdominal pain, depression ranged from 10% to 29%, while anxiety ranged from 18% to 50%. False positives appear to be an issue given relatively low specificity of screening tools. One randomized trial including ED patients with vague symptoms evaluated the effect of depression screening on a composite outcome of depression recognition, psychiatric consultation, or referral by the emergency physician (risk ratio = 1.49, 95% confidence interval [CI] = 0.49 to 4.53, very low certainty). One study reported that patients with undifferentiated abdominal pain who screened positive for depression have had increased ED recidivism (odds ratio = 3.17, 95% CI = 1.14 to 8.85, very low certainty).

CONCLUSIONS

We were unable to identify any evidence that confirms that depression or anxiety screening in ED patients with recurrent and undifferentiated abdominal pain improves outcomes or changes management downstream.

Psychometric properties and factor structure of the Kessler-10 among Ethiopian adults

BACKGROUND

Many common mental disorders are underdiagnosed and undertreated in low-resource countries. The ten-item Kessler Psychological Distress Scale (K10) is a brief screening tool widely used to assess psychological distress. We evaluated the K10's performance in an Ethiopian population by assessing internal consistency and construct validity through factor structure.

METHODS

K10 survey responses and sociodemographic data were collected from 1928 adults, including patients and caregivers from a general medical setting, who served as controls of a large epidemiological study.

RESULTS

The K10 had good internal consistency, with a Cronbach's alpha of 0.83. Results from exploratory factor analyses showed that the K10 had a two-factor solution that accounted for approximately 66% of the variance. Confirmatory factor analyses demonstrated that a unidimensional model with correlated errors, informed by a theoretical model, was the best fitting model for the setting (comparative fit index of 0.90 and root mean square error of approximation of 0.10).

LIMITATIONS

We did not assess the K10's test-retest reliability or its criterion validity (i.e., agreement with a reference measure).

CONCLUSIONS

Based on internal consistency and construct validity, the K10 can effectively assess psychological distress among Ethiopian adults for population-based research and potentially clinical screening, consistent with previous findings in this setting. Further studies are needed to test its criterion validity against a reference measure of psychological distress.

Study protocol for comparing Screening, Brief Intervention, and Referral to Treatment (SBIRT) to referral as usual for depression in African American churches

Background

Depression is a leading cause of disability worldwide. African American adults, compared to White adults, are half as likely to be screened for depression in primary care settings. Disparities in depression screening contribute to poor clinical outcomes, as African Americans with depression are more disabled and sicker longer compared to Whites. African American churches are trusted settings that provide access to supports for depression. Indeed, in the first study of its kind, the investigators found that 20% of adults in African American churches screened positive for depression using the Patient Health Questionnaire-9 (PHQ-9). However, no subjects with a positive screen (PHQ-9 ≥ 10) accepted a treatment referral when offered by research personnel. Community Health Workers, who are trusted paraprofessionals from the target community, may bridge the gap between depression screening and treatment. The investigators have trained and certified 112 Community Health Workers from 45 African American churches in New York City to deliver an evidence-based intervention called Screening, Brief Intervention, and Referral to Treatment (SBIRT). Thus, the aim of the current study is to test the impact of Community Health Worker-delivered depression screening in Black churches on engagement with clinical services.

Methods

Using a hybrid type 1 effectiveness-implementation design, we propose a 2-arm, mixed-methods cluster randomized controlled trial. Church study sites will be randomized to either SBIRT (intervention arm) or referral as usual (usual care arm). This trial will be conducted with 600 church members across 30 churches (300 intervention; 300 usual care). Our primary outcome is treatment engagement, defined as attending a depression-related clinical visit. Secondary outcomes will be changes in Mental Health-Related Quality of Life and depressive symptoms at 3 and 6 months post-screening. Lastly, we will conduct a concurrent, mixed-methods (qualitative-quantitative) process evaluation to assess contextual facilitators and barriers of screening and referral.

Discussion

This is the first randomized trial of a church-placed, community health worker-delivered intervention for depression in African American populations. This study may provide a novel and effective approach to increasing depression identification and treatment linkage in economically disadvantaged populations with high depression rates.

Trial registration

ClinicalTrials.govNCT04524767. Registered on 21 August 2020.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis

BACKGROUND AND OBJECTIVE

Major Depressive Disorder is a highly prevalent and disabling mental health condition. Numerous studies explored multimodal fusion systems combining visual, audio, and textual features via deep learning architectures for clinical depression recognition. Yet, no comparative analysis for multimodal depression analysis has been proposed in the literature.

METHODS

In this paper, an up-to-date literature overview of multimodal depression recognition is presented and an extensive comparative analysis of different deep learning architectures for depression recognition is performed. First, audio features based Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) are studied. Then, early-level and model-level fusion of deep audio features with visual and textual features through LSTM and CNN architectures are investigated.

RESULTS

The performance of the proposed architectures using an hold-out strategy on the DAIC-WOZ dataset (80% training, 10% validation, 10% test split) for binary and severity levels of depression recognition is tested. Using this strategy, a set of experiments have been performed and they have demonstrated: (1) LSTM-based audio features perform slightly better than CNN ones with an accuracy of 66.25% versus 65.60% for binary depression classes. (2) the model level fusion of deep audio and visual features using LSTM network performed the best with an accuracy of 77.16%, a precision of 53% for the depressed class, and a precision of 83% for the non-depressed class. The given network obtained a normalized Root Mean Square Error (RMSE) of 0.15 for depression severity level prediction. Using a Leave-One-Subject-Out strategy, this network achieved an accuracy of 95.38% for binary depression detection, and a normalized RMSE of 0.1476 for depression severity level prediction. Our best-performing architecture outperforms all state-of-the-art approaches on DAIC-WOZ dataset.

CONCLUSIONS

The obtained results show that the proposed LSTM-based surpass the proposed CNN-based architectures allowing to learn temporal dynamics representations of multimodal features. Furthermore, model-level fusion of audio and visual features using an LSTM network leads to the best performance. Our best-performing architecture successfully detects depression using a speech segment of less than 8 seconds, and an average prediction computation time of less than 6ms; making it suitable for real-world clinical applications.

Depression and Anxiety in Rosacea Patients: A Systematic Review and Meta-Analysis

INTRODUCTION

Depression and anxiety are common among people with rosacea. However, the exact magnitude of the prevalence rate and odds ratios (ORs) for depression and anxiety, respectively, in rosacea patients is unclear, and no systematic review or meta-analysis of published data has yet been performed. We therefore performed as systematic review and meta-analysis to determine the prevalence rates and ORs for depression and anxiety in rosacea patients.

METHODS

We performed a systematic search of the PubMed, Embase and Medline databases for all observational studies published up to October 2020 that reported the prevalence rates and ORs for depression and anxiety in patients with rosacea. The primary outcome measures were prevalence rates and ORs for depression and anxiety in patients with rosacea. Heterogeneity across studies was assessed with the I² statistic. Sources of heterogeneity were explored through subgroup and meta-regression analyses.

RESULTS

A total of 14 studies involving 14,134,021 patients with rosacea were included in the systematic review and meta-analysis. The pooled prevalence of depression was 19.6% (95% confidence interval [CI] 15.0-24.3%) and that of anxiety was 15.6% (95% CI 11.8-19.3%). The prevalence of depression and anxiety was significantly lower in studies using clinical criteria to diagnose depression and anxiety (9.2 and 10.2%, respectively) than in those studies using screening tools (26.2% [P < 0.01] and 22.7% [P = 0.03], respectively). The methodological quality of the included studies greatly contributed to the heterogeneity. Patients with rosacea were more likely to experience depression (OR 2.21, 95% CI 1.79-2.72) and anxiety (OR 2.31, 95% CI 1.56-3.44) than healthy controls.

CONCLUSIONS

This systematic review and meta-analysis indicates that patients with rosacea are at a higher risk of experiencing depression and anxiety. More efforts are warranted to recognize and manage depression and anxiety in patients with rosacea.

Performance of primary health care workers in detection of mental disorders comorbid with epilepsy in rural Ethiopia

BACKGROUND

Timely detection and management of comorbid mental disorders in people with epilepsy is essential to improve outcomes. The objective of this study was to measure the performance of primary health care (PHC) workers in identifying comorbid mental disorders in people with epilepsy against a standardised reference diagnosis and a screening instrument in rural Ethiopia.

METHODS

People with active convulsive epilepsy were identified from the community, with confirmatory diagnosis by trained PHC workers. Documented diagnosis of comorbid mental disorders by PHC workers was extracted from clinical records. The standardized reference measure for diagnosing mental disorders was the Operational Criteria for Research (OPCRIT plus) administered by psychiatric nurses. The mental disorder screening scale (Self-Reporting Questionnaire; SRQ-20), was administered by lay data collectors. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of PHC worker diagnosis against the reference standard diagnosis was calculated. Logistic regression was used to examine the factors associated with misdiagnosis of comorbid mental disorder by PHC workers.

RESULTS

A total of 237 people with epilepsy were evaluated. The prevalence of mental disorders with standardised reference diagnosis was 13.9% (95% confidence interval (CI) 9.6, 18.2%) and by PHC workers was 6.3% (95%CI 3.2, 9.4%). The prevalence of common mental disorder using SRQ-20 at optimum cut-off point (9 or above) was 41.5% (95% CI 35.2, 47.8%). The sensitivity and specificity of PHC workers diagnosis was 21.1 and 96.1%, respectively, compared to the standardised reference diagnosis. In those diagnosed with comorbid mental disorders by PHC workers, only 6 (40%) had SRQ-20 score of 9 or above. When a combination of both diagnostic methods (SRQ-20 score ≥ 9 and PHC diagnosis of depression) was compared with the standardised reference diagnosis of depression, sensitivity increased to 78.9% (95% (CI) 73.4, 84.4%) with specificity of 59.7% (95% CI 53.2, 66.2%). Only older age was significantly associated with misdiagnosis of comorbid mental disorders by PHC (adjusted odds ratio, 95% CI = 1.06, 1.02 to 1.11).

CONCLUSION

Routine detection of co-morbid mental disorder in people with epilepsy was very low. Combining clinical judgement with use of a screening scale holds promise but needs further evaluation.

Screening for depression in psoriasis patients during a dermatological consultation: A first step towards treatment

BACKGROUND AND OBJECTIVES

Depression is a highly prevalent comorbidity in psoriatic patients. The aim of this prospective study was to follow up psoriasis patients at risk for depression and to evaluate individual pathways to mental health care and the efficacy of depression screening in a real-life setting.

PATIENTS AND METHODS

In this prospective multicenter study, 355 patients with psoriasis were screened for depressive symptoms with the revised Beck Depression Inventory (BDI-II). General practitioners of patients at risk for depression were asked for further evaluation. One year later, information on mental health care provision was gathered.

RESULTS

130 patients were screened positive for depressive symptoms, and 71 patients were followed-up (follow-up rate: 54.6 %). Psychiatric treatment was recommended for 28.2 % and accepted by 23.9 % of patients. Parameters of disease activity of psoriasis (PASI: 3.1, ∆: -1.7, P = 0.018), quality of life (Dermatology Life Quality Index [DLQI]: 6.5, ∆: -2.8, P = 0.005), and depressive symptoms (BDI-II: 13.2, ∆: -8.3, P < 0.001) improved significantly. Decrease of the BDI-II score was more pronounced in patients with higher PASI decrease.

CONCLUSIONS

Screening for depressive symptoms led to increased utilization of mental health care and improvement of psoriasis, depressive symptoms, and quality of life. Thus, such screening should be implemented in routine care to optimize patient management.

The efficacy of automated feedback after internet-based depression screening: Study protocol of the German, three-armed, randomised controlled trial DISCOVER

BACKGROUND

Depression is one of the most disabling disorders worldwide, yet it often remains undetected. One promising approach to address both early detection and disease burden is depression screening followed by direct feedback to patients. Evidence suggests that individuals often seek information regarding mental health on the internet. Thus, internet-based screening with automated feedback has great potential to address individuals with undetected depression.

OBJECTIVES

To determine whether automated feedback after internet-based depression screening reduces depression severity as compared to no feedback.

METHODS

The internet-based, observer-blinded DISCOVER RCT aims to recruit a total of 1074 individuals. Participants will be screened for depression using the Patient Health Questionnaire (PHQ-9). In case of a positive screening result (PHQ-9 ≥ 10), participants with undetected depression will be randomised into one of three balanced study arms to receive either (a) no feedback (control arm), (b) standard feedback, or (c) tailored feedback on their screening result. The tailored feedback version will be adapted to participants' characteristics, i.e. symptom profile, preferences, and demographic characteristics. The primary hypothesis is that feedback reduces depression severity six months after screening compared to no feedback. The secondary hypothesis is that tailored feedback is more efficacious compared to standard feedback. Further outcomes are depression care, help-seeking behaviour, health-related quality of life, anxiety, somatic symptom severity, intervention acceptance, illness beliefs, adverse events, and a health economic evaluation. Follow-ups will be conducted one month and six months after screening by self-report questionnaires and clinical interviews. According to a statistical analysis plan, the primary outcome will be analysed on an intention-to-treat basis applying multilevel modelling.

DISCUSSION

The results of the DISCOVER RCT will inform about how automated feedback after internet-based screening could improve early detection and resolution of depression. Ways of dissemination and how the trial can contribute to an understanding of help-seeking behaviour processes will be discussed. If the results show that automated feedback after internet-based depression screening can reduce depression severity, the intervention could be easily implemented and might substantially reduce the disease burden of individuals with undetected depression.

ETHICAL APPROVAL

The study is approved by the Ethics Committee of the Hamburg Medical Association.

TRIAL REGISTRATION

The trial was registered at ClinicalTrials.gov in November 2020 (identifier: NCT04633096).

Validity, Reliability, and Optimal Cut-off Scores of the WHO-5, PHQ-9, and PHQ-2 to Screen Depression Among University Students in Iran

This study aimed to investigate the validity, reliability, and optimal cut-off points for the Patient Health Questionnaire-2 (PHQ-2), Patient Health Questionnaire-9 (PHQ-9), and Well-being Index (WHO-5) to screen mild depression among 400 Iranian students who completed these tools and Beck Depression Inventory (BDI-13). Further, a psychiatrist diagnosed the depression by using the "Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders." The validity and internal consistency of tools assessed and the accuracy were computed using the receiver operating characteristic (ROC) and area under the curve (AUC). The internal consistency values of PHQ-2, PHQ-9, and WHO-5 were .73, .88, and .94, respectively. The PHQ-2 (.53), PHQ-9 (.60), and WHO-5 (.54) were significantly associated with the BDI. The PHQ-2, PHQ-9, and WHO-5 had optimal cut-off points of 2, 5, and 9 with an AUC of .809, .851, and .823, respectively. Based on these findings, it is recommended to use the PHQ-9 for mild depression screening among medical university students in Iran because of its high sensitivity and specificity.

Probability of Major Depression Classification Based on the SCID, CIDI, and MINI Diagnostic Interviews: A Synthesis of Three Individual Participant Data Meta-Analyses

INTRODUCTION

Three previous individual participant data meta-analyses (IPDMAs) reported that, compared to the Structured Clinical Interview for the DSM (SCID), alternative reference standards, primarily the Composite International Diagnostic Interview (CIDI) and the Mini International Neuropsychiatric Interview (MINI), tended to misclassify major depression status, when controlling for depression symptom severity. However, there was an important lack of precision in the results.

OBJECTIVE

To compare the odds of the major depression classification based on the SCID, CIDI, and MINI.

METHODS

We included and standardized data from 3 IPDMA databases. For each IPDMA, separately, we fitted binomial generalized linear mixed models to compare the adjusted odds ratios (aORs) of major depression classification, controlling for symptom severity and characteristics of participants, and the interaction between interview and symptom severity. Next, we synthesized results using a DerSimonian-Laird random-effects meta-analysis.

RESULTS

In total, 69,405 participants (7,574 [11%] with major depression) from 212 studies were included. Controlling for symptom severity and participant characteristics, the MINI (74 studies; 25,749 participants) classified major depression more often than the SCID (108 studies; 21,953 participants; aOR 1.46; 95% confidence interval [CI] 1.11-1.92]). Classification odds for the CIDI (30 studies; 21,703 participants) and the SCID did not differ overall (aOR 1.19; 95% CI 0.79-1.75); however, as screening scores increased, the aOR increased less for the CIDI than the SCID (interaction aOR 0.64; 95% CI 0.52-0.80).

CONCLUSIONS

Compared to the SCID, the MINI classified major depression more often. The odds of the depression classification with the CIDI increased less as symptom levels increased. Interpretation of research that uses diagnostic interviews to classify depression should consider the interview characteristics.

Clinically Significant Depressive Symptoms Are Prevalent in People With Extremely Short Prognoses-A Systematic Review

CONTEXT

Currently, systematic evidence of the prevalence of clinically significant depressive symptoms in people with extremely short prognoses is not available to inform its global burden, assessment, and management.

OBJECTIVES

To determine the prevalence of clinically significant depressive symptoms in people with advanced life-limiting illnesses and extremely short prognoses (range of days to weeks).

METHODS

A systematic review and meta-analysis (random-effects model) were performed (PROSPERO: CRD42019125119). MEDLINE, Embase, PsycINFO, CINAHL, and CareSearch were searched for studies (1994-2019). Data were screened for the prevalence of clinically significant depressive symptoms (assessed using validated depression-specific screening tools or diagnostic criteria) of adults with advanced life-limiting illnesses and extremely short prognoses (defined by survival or functional status). Quality assessment was performed using the Joanna Briggs Institute Systematic Reviews Checklist for Prevalence Studies for individual studies and Grading of Recommendations Assessment, Development and Evaluation (GRADE) across studies.

RESULTS

Thirteen studies were included. The overall pooled prevalence of clinically significant depressive symptoms in adults with extremely short prognoses (n = 10 studies; extremely short prognoses: N = 905) using depression-specific screening tools was 50% (95% CI: 29%-70%; I² = 97.6%). Prevalence of major and minor depression was 10% (95% CI: 4%-16%) and 5% (95% CI: 2%-8%), respectively. Major limitations included high heterogeneity, selection bias, and small sample sizes in individual studies.

CONCLUSIONS

Clinically, significant depressive symptoms were prevalent in people with advanced life-limiting illnesses and extremely short prognoses. Clinicians need to be proactive in the recognition and assessment of these symptoms to allow for timely intervention.

Suicidal behaviors and ideation during emerging viral disease outbreaks before the COVID-19 pandemic: A systematic rapid review

The current COVID-19 pandemic is the most severe pandemic of the 21st century, on track to having a rising death toll. Beyond causing respiratory distress, COVID-19 may also cause mortality by way of suicide. The pathways by which emerging viral disease outbreaks (EVDOs) and suicide are related are complex and not entirely understood. We aimed to systematically review the evidence on the association between EVDOs and suicidal behaviors and/or ideation. An electronic search was conducted using five databases: Medline, Embase, Web of Science, PsycINFO and Scopus in April 2020. A rapid systematic review was carried out, which involved separately and independently extracting quantitative data of selected articles. The electronic search yielded 2480 articles, of which 9 met the inclusion criteria. Most of the data were collected in Hong Kong (n = 3) and the USA (n = 3). Four studies reported a slight but significant increase in deaths by suicide during EVDOs. The increase in deaths by suicide was mainly reported during the peak epidemic and in older adults. Psychosocial factors such as the fear of being infected by the virus or social isolation related to quarantine measures were the most prominent factors associated with deaths by suicide during EVDOs. Overall, we found scarce and weak evidence for an increased risk of deaths by suicide during EVDOs. Our results inform the need to orient public health policies toward suicide prevention strategies targeting the psychosocial effects of EVDOs. High-quality research on suicide risk and prevention are warranted during the current pandemic.

Perinatal depression screening in Australia: A position paper

Perinatal depression can have enduring adverse effects on women and their children and families, incurring substantial ongoing economic and personal costs. A significant proportion of the cost of perinatal depression relates to adverse impacts on the child, most likely mediated through impairment to the mother-infant relationship. In recognition of this problem, Australia has invested in routine perinatal depression screening. Our previous research produced convergent findings suggesting that expected benefits for children have not yet been realised through perinatal depression screening. We question the potential of including a measure of personality in current perinatal depression screening for identifying maternal mental health problems and suboptimal mother-infant relationships. This paper reviews our previous research findings within the broader context of perinatal depression screening. We propose a position, that perinatal depression screening in Australia should be redesigned to more precisely detect vulnerable mother-infant relationships, parenting, maternal mental health, and infant psychosocial and psychological development. Practice change to appropriately target antenatal interventions may more efficiently improve both maternal and child outcomes, thereby contributing to greater efficiency and cost savings for the health system.

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

BACKGROUND

Unless implementation of systematic depression screening is associated with timely treatment, quality measures based on screening are unlikely to improve outcomes.

OBJECTIVE

To assess the impact of integrating systematic depression screening with clinical decision support on depression identification and treatment.

DESIGN

Retrospective pre-post study.

PARTICIPANTS

Adults with a primary care visit within a large integrated health system in 2016 were included. Adults diagnosed with depression in 2015 or prior to their initial primary care visit in 2016 were excluded.

INTERVENTION

Initiation of systematic screening using the Patient Health Questionnaire (PHQ) which began in mid-2016.

MAIN MEASURES

Depression diagnosis was based on ICD codes. Treatment was defined as (1) antidepressant prescription, (2) referral, or (3) evaluation by a behavioral health specialist. We used an adjusted linear regression model to identify whether the percentage of visits with a depression diagnosis was different before versus after implementation of systematic screening. An adjusted multilevel regression model was used to evaluate the association between screening and odds of treatment.

KEY RESULTS

Our study population included 259,411 patients. After implementation, 59% of patients underwent screening. Three percent scored as having moderate to severe depression. The rate of depression diagnosis increased by 1.2% immediately after systematic screening (from 1.7 to 2.9%). The percent of patients with diagnosed depression who received treatment within 90 days increased from 64% before to 69% after implementation (p < 0.01) and the adjusted odds of treatment increased by 20% after implementation (AOR 1.20, 95% CI 1.12-1.28, p < 0.01).

CONCLUSIONS

Implementing systematic depression screening within a large health care system led to high rates of screening and increased rates of depression diagnosis and treatment.

Accuracy of Self-Reported Items for the Screening of Depression in the General Population

INTRODUCTION

Though self-reported items (SRD, self-reported depression) are commonly used in health surveys and cohort studies, their metric properties as a depression indicator remain unclear. The aims were to evaluate the measurement properties of SRD using the Patient Health Questionnaire-8 (PHQ-8) as reference and to identify factors related to the agreement between both indicators.

METHODS

Data from the European Health Interview Survey in Spain in 2014/2015 (n = 22,065) were analyzed. Two indicators of depression were considered: SRD based on two items yes/no (positive: both yes), and the PHQ-8 (positive ≥ 10). Socioeconomic factors and use of health services were considered as independent variables. The prevalence of depression, sensitivity, specificity, global agreement, and positive and negative predictive values (PPV and NPV) of SRDs were evaluated using the PHQ-8 as a reference. Logistic regression models were fitted to determine factors associated with the agreement between indicators.

RESULTS

The prevalence of depression was lower when assessed with PHQ-8 (5.9%) than with SRD (7.7%). SRD sensitivity and PPV were moderate-low (52.9% and 40.4%, respectively) whereas global agreement, specificity, and NPV were high (92.7%, 95.1%, and 97.0%, respectively). Positive agreement was associated with marital status, country of birth, employment status, and social class. Negative agreement was related to all independent variables except country of birth.

CONCLUSIONS

SRD items tend to overestimate the current prevalence of depression. While its use in health surveys and cohorts may be appropriate as a quick assessment of possible depression, due to their low sensitivity, its use in clinical contexts is questionable.

Impact of an on-site perinatal mood disorders clinic in the diagnosis and management of perinatal mood disorders

Objectives To assess change in Edinburgh Postnatal Depression Scale (EPDS) scores in women treated at the Perinatal Mood Disorders Clinic (PMDC) as a measure of improvement in perinatal mood disorders (primary outcome), and treatment disposition at final visit. Methods Chart review was performed for all PMDC patients between March 1, 2017 and June 1, 2018 (n=120), as a self-controlled case series design. Two-tailed t-tests compared initial and final EPDS scores for all patients with >1 visit (n=64), where EPDS score of ≥13 indicated a positive screen for depression. A multivariable linear regression model with robust standard errors estimated the relationship between patient characteristics and final EPDS scores. Results Of 120 patients, n=56 had one visit and n=64 had >1 visit. Of these 64, mean final score (11.04) was lower than mean initial score (16.54; p<0.001). Additionally, certain patient characteristics were associated with higher final EPDS score, including history of mood disorder and treatment with both pharmacotherapy and psychotherapy. Conclusions Women treated at the PMDC showed improved EPDS scores when receiving at least two separate care visits. Therefore, the clinic may be filling a gap in access to timely care for women with perinatal mood disorders.

Factors associated with non-initiation of mental healthcare after detection of poor mental health at a scheduled health check: a cohort study

INTRODUCTION

Poor mental health is an important public health concern, but mental health problems are often under-recognised. Providing feedback to general practitioners (GPs) on their patients' mental health status may improve the identification of cases in need of mental healthcare.

OBJECTIVES

To investigate the extent of initiation of mental healthcare after identification of poor mental health and to identify factors associated with non-initiation.

DESIGN

Prospective cohort study with 1-year follow-up.

SETTING

In a population-based health preventive programme, Check Your Health, we conducted a combined mental and physical health check in Randers Municipality, Denmark, in 2012-2015 in collaboration with local GPs.

PARTICIPANTS

Participants were 350 individuals aged 30-49 years old with screen-detected poor mental health who had not received mental healthcare within the past year. The cohort was derived from 14 167 randomly selected individuals of whom 52% (n=7348) participated. Mental health was assessed by the mental component summary score of the 12-item Short-Form Health Survey.

OUTCOME

The outcome was initiation of mental healthcare. Mental healthcare included psychometric testing by GP, talk therapy by GP, contact with a psychologist, contact with a psychiatrist and psychotropic medication.

RESULTS

Within 1 year, 22% (95% CI 18 to 27) of individuals with screen-detected poor mental health initiated mental healthcare. Among individuals who initiated mental healthcare within follow-up, one in six had visited their GP once or less in the preceding year. Male sex (OR: 0.49 (95% CI 0.28 to 0.86)) and less impaired mental health (OR: 0.93 (95% CI 0.89 to 0.98)) were associated with non-initiation of mental healthcare. We found no overall association between socioeconomic factors and initiating mental healthcare.

CONCLUSION

Systematic provision of mental health test results to GPs may improve the identification of cases in need of mental healthcare, but does not translate into initiation of mental healthcare. Further research should focus on methods to improve initiation of mental healthcare, especially among men.

TRIAL REGISTRATION NUMBER

NCT02028195.

Quality of life and pain in patients with thalidomide embryopathy in Japan

Background

The aim of this study was to assess psychological/psychiatric problems and quality of life (QOL) in patients with thalidomide embryopathy (TE), with a specific focus on pain, including pain severity and the effects of coping strategies for pain.

Methods

A questionnaire survey was conducted to evaluate the severity of pain experienced by patients with TE, pain management strategies, time perspective, mental health status, and QOL. Of 67 patients with TE who underwent a health checkup, 51 respondents who gave valid responses were included in analysis.

Results

GHQ‐28 suggested that 41.2% of respondents appeared to potentially have psychiatric disorders. The mean scores of QOL were still within a normal range. There is no significant differences were found between limb disability group and hearing impairment group in QOL or mental health status. About 82.4% of respondents reported that they experience physical pain, and the use of the cognitive coping strategy “catastrophizing” to cope with pain was significantly associated with mental health status and QOL.

Conclusion

This study demonstrate that although some patients with TE have some form of mental health problem, they still maintain a normal range QOL despite their disabilities. In addition, pain was not as strongly associated with mental health problems and QOL as would be expected, and variables such as “catastrophizing” to cope with pain appear to potentially be associated with reduced mental health and QOL.

Barriers to integrating routine depression screening into community low vision rehabilitation services: a mixed methods study

BACKGROUND

Undetected depression is common in people with low vision and depression screening has been recommended. However, depression screening is a complex procedure for which low vision practitioners need training. This study examined the integration of routine depression screening, using two questions, and referral pathways into a national low vision service in Wales at 6 months following practitioner training, and identified key barriers to implementation.

METHODS

This pre-post single group study employed a convergent mixed methods design to collect quantitative questionnaire and qualitative interview data on low vision practitioners' clinical practice and perceived barriers to implementing depression screening. Forty practitioners completed questionnaires pre-, immediately post- and 6 months post-training and nine engaged in interviews 6 months post-training. Ordinal questionnaire scores were Rasch-transformed into interval-level data before linear regression analyses were performed to determine the change in scores over time and the association between perceived barriers and clinical practice. Thematic Analysis was applied to the interviews and the narrative results merged with the questionnaire findings.

RESULTS

Before training, only one third of practitioners (n = 15) identified depression in low vision patients, increasing to over 90% (n = 37) at 6 months post-training, with a corresponding increase in those using validated depression screening questions from 10% (n = 4) to 80% (n = 32). Six months post-training, practitioners reported taking significantly more action in response to suspected depression (difference in means = 2.77, 95% CI 1.93 to 3.61, p < 0.001) and perceived less barriers to addressing depression (difference in means = - 0.95, 95% CI - 1.32 to - 0.59, p < 0.001). However, the screening questions were not used consistently. Some barriers to implementation remained, including perceived patient reluctance to discuss depression, time constraints and lack of confidence in addressing depression.

CONCLUSIONS

The introduction of depression screening service guidelines and training successfully increased the number of low vision practitioners identifying and addressing depression. However, standardized screening of all low vision attendees has not yet been achieved and several barriers remain. Healthcare services need to address these barriers when considering mental health screening, and further research could focus on the process from the patients' perspective, to determine the desire for and acceptability of screening.

Pragmatic cluster randomized trial to evaluate effectiveness and implementation of enhanced EHR-facilitated cancer symptom control (E2C2)

Background

The prevalence of inadequate symptom control among cancer patients is quite high despite the availability of definitive care guidelines and accurate and efficient assessment tools.

Methods

We will conduct a hybrid type 2 stepped wedge pragmatic cluster randomized clinical trial to evaluate a guideline-informed enhanced, electronic health record (EHR)-facilitated cancer symptom control (E2C2) care model. Teams of clinicians at five hospitals that care for patients with various cancers will be randomly assigned in steps to the E2C2 intervention. The E2C2 intervention will have two levels of care: level 1 will offer low-touch, automated self-management support for patients reporting moderate sleep disturbance, pain, anxiety, depression, and energy deficit symptoms or limitations in physical function (or both). Level 2 will offer nurse-managed collaborative care for patients reporting more intense (severe) symptoms or functional limitations (or both). By surveying and interviewing clinical staff, we will also evaluate whether the use of a multifaceted, evidence-based implementation strategy to support adoption and use of the E2C2 technologies improves patient and clinical outcomes. Finally, we will conduct a mixed methods evaluation to identify disparities in the adoption and implementation of the E2C2 intervention among elderly and rural-dwelling patients with cancer.

Discussion

The E2C2 intervention offers a pragmatic, scalable approach to delivering guideline-based symptom and function management for cancer patients. Since discrete EHR-imbedded algorithms drive defining aspects of the intervention, the approach can be efficiently disseminated and updated by specifying and modifying these centralized EHR algorithms.

Trial registration

ClinicalTrials.gov, NCT03892967. Registered on 25 March 2019.

Correspondence Between the Neuropsychiatric Interview M.I.N.I. and the BDI-II and MADRS-S Self-Rating Instruments as Diagnostic Tools in Primary Care Patients with Depression

Objective

To investigate the correspondence between the diagnoses received by patients with symptoms of common mental disorder attending primary care, based on the diagnostic instrument International Neuropsychiatric Interview (M.I.N.I.) and the self-assessment instruments such as Beck Depression Inventory (BDI-II) and Montgomery-Asberg Depression Rating Scale - self-rating version (MADRS-S), respectively.

Design

Data were collected from a prospective observational study, ADAS, between 2014 and 2015.

Setting

Twenty-eight primary care centers in Region Västra Gotaland, Sweden.

Patients

A total of 192 patients, 18-60 years of age, on sick leave ≥14 days, with mild/moderate depression, anxiety syndrome, and stress-related mental illness were included.

Main Outcome Measures

Scores of the assessment instruments (BDI-II and MADRS-S) on inclusion, sensitivity, specificity, positive (PPV) and negative predictive value (NPV) for BDI-II and MADRS-S, respectively, with M.I.N.I used as diagnostic instrument.

Results

Using M.I.N.I. as gold standard, the BDI-II and MADRS-S showed almost the same sensitivity (86.9% and 87.4%, respectively), but specificity for MADRS-S was doubled compared to BDI-II (36% and 18%, respectively). There was a significant association between MADRS-S and M.I.N.I. (p=0.027). However, the same analysis between BDI and M.I.N.I. was not statistically significant (p= 0.635). NPV and PPV were calculated from assumed prevalences (10% and 75%) and were higher for MADRS-S compared to BDI-II. The PPV differences were between 2% and 7% and NPV differences were between 3% and 19%.

Conclusion

With M.I.N.I. as gold standard, MADRS-S performs better than BDI-II as a self-assessment tool in the primary care context for depression diagnostics.

Depression in the medically ill

BACKGROUND

Depressive disorders are significantly more common in the medically ill compared to the general population. Depression is associated with worsening of physical symptoms, greater healthcare utilization and poorer treatment adherence. The present paper provides a critical review on the assessment and management of depression in the medically ill.

METHODS

Relevant articles pertaining to depression in the medically ill were identified, reviewed and synthesized qualitatively. A systematic review was not performed due to the large breadth of this topic, making a meaningful summary of all published and unpublished studies not feasible. Notable studies were reviewed and synthesized by a diverse set of experts to provide a balanced summary.

RESULTS

Depression is frequently under-recognized in medical settings. Differential diagnoses include delirium, personality disorders and depressive disorders secondary to substances, medications or another medical condition. Depressive symptoms in the context of an adjustment disorder should be initially managed by supportive psychological approaches. Once a mild to moderate major depressive episode is identified, a stepped care approach should be implemented, starting with general psychoeducation, psychosocial interventions and ongoing monitoring. For moderate to severe symptoms, or mild symptoms that are not responding to low-intensity interventions, the use of antidepressants or higher intensity psychotherapeutic interventions should be considered. Psychotherapeutic interventions have demonstrated benefits with small to moderate effect sizes. Antidepressant medications have also demonstrated benefits with moderate effect sizes; however, special caution is needed in evaluating side effects, drug-drug interactions as well as dose adjustments due to impairment in hepatic metabolism and/or renal clearance. Novel interventions for the treatment of depression and other illness-related psychological symptoms (e.g. death anxiety, loss of dignity) are under investigation.

LIMITATIONS

Non-systematic review of the literature.

CONCLUSION

Replicated evidence has demonstrated a bidirectional interaction between depression and medical illness. Screening and stepped care using pharmacological and non-pharmacological interventions is merited.

Drivers of and Solutions for the Overuse of Antidepressant Medication in Pediatric Populations

Children in the United States and internationally are increasingly being diagnosed with depression and related psychiatric conditions and a recent study found that antidepressant (ADM) use in children and adolescents rose substantially in youth cohorts in five Western countries from 2005 to 2012. However, there has been ongoing controversy over the effectiveness and safety of ADM use in children, including concerns about ADM increasing suicidality and self-harm. In addition to the increase in the diagnosis of depression, commercially driven off-label prescriptions have been cited as a significant reason for high rates of pediatric ADM prescribing. In this commentary, we discuss two drivers of the overuse of ADM, both of which are products of an increasingly medicalized approach to mental health: 1) the demand for mental health and depression screening in youth, despite the lack of evidence to support it, and 2) the renewed momentum of the Global Mental Health Movement and concomitant calls to "scale up" the diagnosis and treatment of mental illness. Using the lens of institutional corruption, we identify the ways in which both guild and financial conflicts of interest create obstacles to rational prescribing practices in pediatric populations and offer suggestions for reform.

Validity of the Patient Health Questionnaire-9 (PHQ-9) for depression screening in adult primary care users in Bucaramanga, Colombia

The patient health questionnaire-9 (PHQ-9) is one of the most widely used self-report instruments in primary care. There is no criterion validity of the PHQ-9 in Colombia. The objective was to validate the PHQ-9 as a screening tool in primary care. A cross-sectional, scale criterion validity study was performed using as reference criterion the mini neuropsychiatric interview (MINI) in male and female adult users of primary care centres. We calculated the internal consistency and convergent and criterion validity of the PHQ-9 by analysing the receiver operating characteristics (ROC) and the area under the curve (AUC). We analysed 243 participants; 184 (75.7%) were female. The average age was 34.05 (median of 31 and SD = 12.47). Cronbach's α was 0.80 and McDonald's ω was 0.81. Spearman's Rho was 0.64 for HADS-D (P <0.010) and 0.70 for PHQ-2 (P <0.010). The AUC was 0.92 (95% CI 0.880-0.963). The optimal cut-off point of PHQ-9 was ≥7: sensitivity of 90.38 (95% CI: 81.41-99.36); specificity of 81.68 (95% CI: 75.93-87.42); PPV 57.32 (95% CI: 46.00-68.63); NPV 96.89 (95% CI: 93.90-99.88); Youden index 0.72 (95% CI: 0.62-0.82); LR+ 4.93 (95% CI: 3.61-6.74); LR- 0.12 (95% CI: 0.005-0.270). In sum, the Colombian version of PHQ-9 is a valid and reliable instrument for depression screening in primary care in Bucaramanga, with a cut-off point ≥7.

How do community-based eye care practitioners approach depression in patients with low vision? A mixed methods study

BACKGROUND

Clinically significant depressive symptoms are prevalent in people attending low vision clinics and often go undetected. The Low Vision Service Wales (LVSW) plans to introduce depression screening and management pathways. Prior to implementation there is an unmet need to understand how eye care practitioners providing the service currently address depression with patients, and the characteristics and beliefs that influence their practice.

METHODS

A mixed methods convergent design was employed. Twelve low vision practitioners were purposively selected to engage in individual semi-structured interviews which were analysed using thematic analysis. A further 167 practitioners were invited to complete a questionnaire assessing professional background, current practice, confidence and perceived barriers in working with people with low vision and suspected depression. Multiple regression analyses were performed to determine the characteristics related to the Rasch-transformed questionnaire scores.

RESULTS

Of the 122 practitioners that responded to the questionnaire, 33% aimed to identify depression in patients, and those who were more confident were more likely to do so. Those who scored higher on the perceived barriers scale and lower on confidence were less likely to report acting in response to suspected depression (all p < 0.05). Three qualitative themes were identified; depression is an understandable response to low vision, patients themselves are a barrier to addressing depression and practitioners lacked confidence in their knowledge and skills to address depression. The qualitative data largely expanded the quantitative findings.

CONCLUSIONS

Practitioners viewed their own lack of knowledge and confidence as a barrier to the identification and management of depression and expressed a need for training prior to the implementation of service changes. The study findings will help to inform the development of a training programme to support low vision practitioners and those working with other chronic illness in Wales, and internationally, in the identification and management of people with depression.

Insight into the Quality of Life of Patients with Ankylosing Spondylitis: Real-World Data from a US-Based Life Impact Survey

INTRODUCTION

We aim to assess the real-world, US patient-reported impact of ankylosing spondylitis (AS) on quality of life (QOL) across physical, discomfort, social, and emotional domains.

METHODS

Demographic and QOL data were collected from a random sample of patients associated with the Spondylitis Association of America (SAA) from July to December 2017. QOL measures were based on the Evaluation of Ankylosing Spondylitis Quality of Life (EASi-QoL) questionnaire. The survey evaluated AS impact on the physical domain on the day of survey participation and impact on the discomfort, social, and emotional domains within the week before participation. A 3:1 (male to female) weighting was performed to reflect the reported prevalence of AS in US adults.

RESULTS

Of 820 respondents who completed the survey, 716 self-reported receiving an AS diagnosis from their doctor and were included in this analysis (mean age, 55.5 years; 46.9% male). The mean total EASi-QoL score was 28.9 (weighted); overall, 33.7%, 31.7%, and 34.7% of respondents, respectively, reported a low (EASi-QoL score 0-17), a medium (18-35), and a high (≥ 36) impact of AS on QOL. The physical domain was most impacted; 41.9% of respondents had an EASi-QoL score ≥ 10 (weighted). Women were significantly more likely than men to report a high impact of AS on all QOL domains. Biologic users reported an impact on QOL comparable with the impact on QOL of nonsteroidal anti-inflammatory drug use. AS also impacted lifestyle characteristics, including career choice and sports participation.

CONCLUSION

AS negatively impacted all QOL domains analyzed. The incorporation of subjective measures of disease into disease evaluation should be considered.

FUNDING

Novartis Pharmaceuticals Corporation and UCB, Inc. Plain language summary available for this article.