Screening Instrument For Depression Research Articles

What is the role of screening instruments in the management of psychiatric comorbidities in epilepsy? Tools and practical tips for the most common comorbidities: Depression and anxiety

Depression and anxiety are the most common psychiatric comorbidities in epilepsy and are known to increase healthcare utilization, the risk of refractory epilepsy, and anti-seizure medication intolerability. Despite this, depression and anxiety continue to be underrecognized and undertreated in people with epilepsy (PWE). Several barriers to the identification of depression and anxiety in PWE exist, including reliance on unstructured interviews rather than standardized, validated instruments. Moreover, there is a dearth of behavioral health providers to manage these comorbidities once identified. The use of validated screening instruments in epilepsy clinics can assist with both the identification of psychiatric symptoms and monitoring of treatment response by the epilepsy clinician for PWE with comorbid depression and/or anxiety. While screening instruments can identify psychiatric symptoms occurring within a specified time, they are not definitively diagnostic. Screeners can be time efficient tools to identify patients requiring further evaluation for diagnostic confirmation.This article reviews recent literature on the utility of depression and anxiety screening instruments in epilepsy care, including commonly used screening instruments, and provides solutions for potential barriers to clinical implementation. Validated depression and anxiety screening instruments can increase identification of depression and anxiety and guide epilepsy clinician management of these comorbidities which has the potential to positively impact patient care.

Pushed Out and Drawn In: Exclusionary Discipline, Mental Health, and Protective Factors Among Youth in Public Schools.

Exclusionary discipline (ED) has long been an educational equity concern, but its relationship with student health and protective factors is less understood. Using population-based public school student data (N = 82,216), we examined associations between past-month ED and positive depression and anxiety screening instrument results. We also assessed whether each of 9 potential protective factors moderated the ED-mental health relationship by testing interaction effects. Over 1 in 10 youth experienced past-month ED, with variation by sex, gender identity, special education status, poverty, region, race/ethnicity, and adverse childhood experiences. Net of sociodemographic factors, youth who experienced ED had higher likelihood for current depression (adjusted odds ratio [AOR]: 1.64, 95% confidence interval [CI]: 1.55, 1.73) and anxiety (AOR: 1.49, 95% CI: 1.41, 1.58) symptoms. Significant associations were robust across 5 racial/ethnic groups, except for anxiety among American Indian/Alaska Native youth. Individual, interpersonal, and school-level protective factors appeared to mitigate depression and anxiety regardless of disciplinary experience. Our findings document ED disproportionality and possible ramifications for emotional well-being. In concert with structural efforts to reduce reliance on ED, strategies that bolster protective factors may support youth already impacted by ED and/or mental health problems.

A National Survey of Pediatricians' Experiences and Practices With Suicide Prevention.

Describe pediatricians' experiences, attitudes, and practices around suicide prevention within primary care, and examine associations between pediatricians' experiences and practices. The nationally representative Periodic Survey of American Academy of Pediatrics members provided data on pediatricians' patient experience with suicide risk, perceived barriers to screening for suicidal ideation (SI), preparedness to counsel about suicide prevention, interest in learning more about suicide prevention strategies, and frequency of screening for and managing suicidal ideation. Multivariable analyses examined the effect of having a patient die by or attempt suicide on screening practices. A total of 41% responded to the survey with 377 respondents in the analytic sample. A total of 93% of pediatricians had a patient screen positive for SI and 81% had a patient attempt or die by suicide. A total of 61% always screened for SI and 63% reported using a standardized depression screening tool and 9% a suicide-specific tool. Respondents who had a patient attempt or die by suicide were more likely to screen for SI (OR, 2.05, 95% CI, 1.16-3.63) and use a standardized depression screening instrument (OR, 2.34, 95% CI, 1.29-4.24). Patient reluctance to discuss mental health was the most frequently cited barrier (51%) followed by lack of time (49%) and lack of treatment options (43%). Over 90% of respondents assessed for a plan and referred to mental health services when suicidal ideation was identified. Although pediatricians frequently see patients with suicide risk, 39% do not always screen for SI. Educational efforts are needed to improve pediatricians' assessment and management of suicide risk given new guidelines.

A Comparison of Depressive Symptom Presentation in Adolescent Type 1 Diabetes and Pediatric Primary Care Samples

Background. Depression is a common comorbidity in adolescents with type 1 diabetes (T1D). It is unclear if patterns of responses from questionnaires used to screen for depressive symptoms are influenced by the burden of living with T1D and/or the consequences of hyperglycemia. Based on this gap in the adolescent research, we sought to identify potential differences in depression screening response patterns between adolescents with and without T1D and relate response patterns with glycemic outcomes. Methods. Using a retrospective case–control design, we analyzed electronic health records for age, sex, and race-matched adolescents 13–18 years of age from a pediatric diabetes clinic (n = 477) and a pediatric primary care clinic (n = 477) in the United States. Adolescents in both settings were screened for depressive symptoms during the same time period using the Patient Health Questionnaire-9 (PHQ-9). Results. Participant demographics for matched characteristics were: 53.5% male, 71.7% White, median age 13.0 (interquartile range = 13.0, 14.0). After controlling for type of insurance, adolescents with T1D were more likely to have higher total PHQ-9 scores (odds ratio (OR) = 1.51, 95% CI = 1.17, 1.98, p = 0.002 ) and higher somatic subscores (OR = 1.57, 95% CI = 1.20, 2.05, p = 0.001 ) compared to the primary care sample. The pattern of item endorsement greater than “not at all” indicated that adolescents with T1D were more likely to have higher values for somatic items such as “trouble falling asleep” and “feeling tired” than those in the primary care sample. Item-total correlations and Cronbach’s α indicated that all items were contributing to the overall score in the same manner in each group. Conclusions. Symptom endorsement for sleep and fatigue were higher for adolescents with T1D and without T1D. Study results support the need for further examination of the origins of somatic symptoms in T1D and for an additional examination of the specificity of depression screening instruments used in routine pediatric diabetes care.

Anxiety and depressive symptoms in adults with new-onset seizures: A scoping review.

Anxiety and depression are common comorbidities in people living with epilepsy. Emerging research suggests that these conditions may even predate epilepsy onset. This review aimed to summarize the prevalence of clinically significant anxiety and depressive symptoms in people with first seizures and newly diagnosed epilepsy, as well as clinicodemographic factors associated with these symptoms. A scoping literature review was performed. OVID Medline and Embase were searched from January 1, 2000, through May 1, 2022. Articles of interest were selected based on predetermined inclusion and exclusion criteria. From 1836 studies identified on screening, 16 met eligibility criteria and were included in the review. Clinically significant anxiety and depressive symptoms, as determined by validated cutoff scores for anxiety and depression screening instruments, were common in people with first seizures (range 13-28%) and newly diagnosed epilepsy (range 11-45%). They were associated with a range of clinicodemographic factors including past psychiatric history and trauma, personality traits, self-esteem, and stigma profiles. There is substantial evidence that clinically significant anxiety and depressive symptoms are often present at the time and shortly following the first seizure or epilepsy diagnosis. Future research is needed to better understand the complex interactions between these common psychiatric comorbidities, new-onset seizure disorders, and certain clinicodemographic characteristics. This knowledge may inform targeted and holistic treatment approaches.

COVID-Somnia: A Multicentric Study on Sleep Disturbances During the COVID-19 Pandemic With Spatial Mapping of Hotspots.

Objective The purpose of this study was to document sleep quality and assess its sociodemographic, behavioral (i.e., tobacco use, alcohol use, and screen time), and mental-health-related indicators (i.e., anxiety and depression) in adults aged 30-59 years across three states of India, and to geo-locate state and district-level findings of sleep quality during the ongoing coronavirus disease 2019 (COVID-19) pandemic. Methods From October 2020 to April 2021, residents (aged 30-59 years) of Kerala, Madhya Pradesh, and Delhi completed a web-based survey that included sociodemographic and behavioral factors, clinical history of COVID-19, and mental health screening instruments for anxiety and depression, namely the Generalized Anxiety Disorder 2-item (GAD-2) and Patient Health Questionnaire-2 (PHQ-2). The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the quality of sleep. Average PSQI scores were geo-mapped. Results Of the 694 participants who responded, 647 completed the PSQI. The mean (SD) global PSQI score was 5.99 (3.2), with approximately 54% of participants reporting poor sleep quality (PSQI Score>5). Eight hotspot districts with severe sleep disturbances (mean score PSQI>6.5) were identified. Multivariable logistic regression analysis showed that compared to Madhya Pradesh, participants from Kerala and Delhi had 62% and 33% lower chances of having poor sleep quality, respectively. Those who screened positive for anxiety had higher odds of having poor sleep quality (adjusted odds ratio {aOR}=2.4, P=0.006*). Conclusion Overall, sleep quality was poor during the early stages of the COVID-19 pandemic (October 2020-April 2021), especially among those who reported high levels of anxiety. Among the three included states, there were differences in sleep quality.

Screening of coexisting depression or anxiety disorders among Danish patients with alcohol use disorder in outpatient treatment

Background Depression and anxiety are highly prevalent among patients seeking outpatient treatment for alcohol use disorders (AUD) and if depression and anxiety are addressed the prognosis is improved. Screening instruments for depression and anxiety have been validated in populations suffering from drug use disorders, but not in populations suffering from AUD. The aim of this study was to validate four self-administrated screening instruments (PHQ-9, GAD-7, Kessler-6, and SRQ) and calculate the optimal cut-off value for identifying depression and anxiety. Methods The study included 73 patients with self-reported depression or anxiety during AUD treatment. Each patient filled out the above-mentioned instruments and was subsequently interviewed by trained clinicians blinded to the results of the instruments with the Present State Examination to establish a diagnosis of depression or anxiety according to ICD-10. ROC curves were constructed for each instrument and the area under the curve (AUC) was calculated using patients with no depression or anxiety as reference. Youden’s index was calculated to assess the optimal cut-off for each instrument. Results A total of 33 (45.2%) were diagnosed with depression or anxiety. The AUC for PHQ-9, GAD-7, Kessler-6, and SRQ were 0.767, 0.630, 0.793, and 0.698 respectively. Kessler-6, the instruments performing best based on the AUC, identified 27 (82%) of the 33 patients using a cut-off of 10 points. Conclusion Kessler-6 seems to be valid and reliable in identifying patients requiring treatment for depression or anxiety among patients seeking treatment for AUD who are reporting depression or anxiety.

Depression and determinants among diabetes mellitus patients in Ethiopia, a systematic review and meta-analysis

IntroductionPrimary studies have estimated the prevalence of depression and its determinants among diabetes patients. However, studies synthesizing this primary evidence are limited. Hence, this systematic review aimed to determine the prevalence of depression and identify determinants of depression among diabetes in Ethiopia.MethodsThis systematic review and meta-analysis included a search of PubMed, Google Scholar, Scopus, Science Direct, PsycINFO, and Cochrane library. Data were extracted using Microsoft Excel and analyzed using STATA statistical software (v. 14). Data were pooled using a random-effects model. Forest plots, and Egger’s regression test were all used to check for publication bias. Heterogeneity (I)2 was computed. Subgroup analysis was done by region, publication year, and depression screening instrument. In addition, the pooled odds ratio for determinants was calculated.ResultsSixteen studies, including 5808 participants were analyzed. The prevalence of depression in diabetes was estimated to be 34.61% (95% CI: 27.31–41.91). According to subgroup analysis by study region, publication year, and screening instrument, the highest prevalence was observed in Addis Ababa (41.98%), studies published before 2020 (37.91%), and studies that used Hospital Anxiety and Depression Scale (HADS-D) (42.42%,) respectively. Older age > 50 years (AOR = 2.96; 95% CI: 1.71–5.11), being women (AOR = 2.31; 95% CI: 1.57, 3.4), longer duration with diabetes (above 5 years) (AOR = 1.98; 95% CI: 1.03–3.8), and limited social support (AOR = 2.37; 95% CI: 1.68–3.34), were the determinants of depression in diabetic patients.ConclusionThe results of this study suggest that the prevalence of depression in diabetes is substantial. This result underscores the importance of paying particular attention to prevent depression among diabetes. Being older, not attending formal education, longer duration with diabetes, having comorbidity, and low adherence to diabetes management were all associated. These variables may help clinicians identify patients at high risk of depression. Future studies focusing on the causal association between depression and diabetes are highly recommended.

Questionnaire-based screening for mental distress in epilepsy: Outline and feasibility of an outpatient screening and intervention pathway

ObjectiveMental distress is present in a significant proportion of people with epilepsy (PWE), with a negative impact across life domains. It is underdiagnosed and under-treated despite guidelines recommending screening for its presence (e.g., SIGN, 2015). We describe a tertiary-care epilepsy mental distress screening and treatment pathway, with a preliminary investigation of its feasibility. MethodsWe selected psychometric screening instruments for depression, anxiety, quality of life (QOL), and suicidality, establishing treatment options matched to instrument scores on the Patient Health Questionnaire 9 (PHQ-9), along ‘traffic light’ lines. We determined feasibility outcomes including recruitment and retention rates, resources required to run the pathway, and level of psychological need. We undertook a preliminary investigation of change in distress scores over a 9-month interval and determined PWE engagement and the perceived usefulness of pathway treatment options. ResultsTwo-thirds of eligible PWE were included in the pathway with an 88% retention rate. At the initial screen, 45.8% of PWE required either an ‘Amber-2’ intervention (for moderate distress) or a ‘Red’ one (for severe distress). The equivalent figure at the 9-month re-screen was 36.8%, reflective of an improvement in depression and QOL scores. Online charity-delivered well-being sessions and neuropsychology were rated highly for engagement and perceived usefulness, but computerized cognitive behavioral therapy was not. The resources required to run the pathway were modest. ConclusionOutpatient mental distress screening and intervention are feasible in PWE. The challenge is to optimize methods for screening in busy clinics and to determine the best (and most acceptable) interventions for screening positive PWE.

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

To assess differences in mental health screening based on patient's preferred language. For this retrospective cohort study, data for 85 725 unique patients from 10 primary care clinics in West Michigan were analyzed if patients received at least 1 mental health screening with the Patient Health Questionnaire 4 (PHQ-4) within a 12-month period (10/15/2021-10/14/2022). A general linear regression model was used to assess the adjusted odds ratios (aOR) of being screened. Patients having a preferred language other than English (n = 2755) had an 87.0% chance of receiving the recommended mental health screening, compared to 76.7% of English-speaking patients (P < .001). A multivariable model revealed decreased screening odds for Kinyarwanda (aOR 0.29, 95% CI 0.19-0.45) and Persian/Dari/Pashto (aOR 0.46, 95% CI 0.23-0.91) speaking patients and higher screening odds for Spanish (aOR 1.45, 95% CI 1.19-1.77), Bosnian (aOR 2.13, 95% CI 1.11-4.11), and Vietnamese (aOR 2.25 95% CI 1.64-3.08) speaking patients compared to English speaking patients. Results highlight the inequities between the language groups that are probably the result of the challenges to access multilingual depression and anxiety screening instruments. Furthermore, providers may be prone to bias about who they think "needs" a mental health screening. We suggest that measures are implemented to ensure consistency in mental health screening regardless of a patients' preferred language.

Mental health issues assessment using tools during COVID-19 pandemic.

COVID-19 has brought distress among people as pandemic has impacted the globe not only economically or physically, but also psychologically by degrading their mental health. Several research were done in the past which tried to capture these issues but post-covid situation needs to be critically handled and analyzed so that corrective measures for cure and support can be taken. The current work is an attempt to observe the mental health issues (anxiety and depression) that occurred during the lockdown by combining a few pre-designed questionnaires. The online survey included 244 respondents (females = 126, males = 118) and when we thoroughly examined gender, age group, and occupational activity as three main factors, the results showed that female students aged 21-35 were affected more than male students of the same age group. In this study, we used a 4-item Geriatric Depression Scale (GDS-4) as a depression screening instrument and discovered that 225 out of total respondents were depressed. Using the Generalized Anxiety Disorder (GAD-7), a self-administered anxiety tool, we found 103 responders with mild, 87 with moderate, 12 with severe, and 42 with no anxiety symptoms. Patient Health Questionnaire (PHQ-9) showed the symptoms of mental disorders where 68 individuals had mild, 85 had moderate, 37 had moderately severe, 12 had severe, and 42 had no symptoms. With the help of multiple linear regression analysis, demographic data were evaluated, and later results were compared between GDS-4, GAD-7, and PHQ-9 using correlation coefficients. This will help practitioners and individuals to focus on their physiological health and adopt diagnostic measures.

Efficacy of a specialized inpatient rehabilitation program in patients with early versus chronic epilepsy

ObjectiveTo evaluate the efficacy of a specialized inpatient rehabilitation program in patients with early in comparison with chronic epilepsy. MethodsWe performed a prospective, open pre/post study using a parallel group design. Patients with early epilepsy (EE, treatment with anti-seizure medication [ASM] ≤ 1 year) or with chronic epilepsy (CE, ASM treatment > 5 years) completed questionnaires at the time of their admission to the rehabilitation program and at discharge. Outcome measures comprised scales from the PESOS questionnaire (PErformance, SOciodemographic aspects, Subjective estimation; e.g., emotional adaptation to epilepsy) as well as screening instruments for depression (Neurological Disorders Depression Inventory for Epilepsy, NDDI-E) and anxiety (Generalized Anxiety Disorder Scale, GAD-7). Linear mixed models (LMMs) were used to determine the effects of the program in the total group and to compare the effects between patients with EE and CE. ResultsThe analyses included 79 patients with EE and 157 patients with CE. Baseline comparisons revealed differences in disease-related and sociodemographic variables (e.g., patients with EE were older, those with CE had a higher seizure frequency and a higher rate of unemployment; all p < .01). LMMs showed significant improvements in emotional adaptation to epilepsy, depression, anxiety, overall quality of life and overall health as well as in perceived overall restrictions because of epilepsy and the subjective level of information about epilepsy (all p < .001). Despite the different duration of epilepsy, baseline levels as well as improvements did not differ between patients with EE and CE (all p > .05) except for the perceived level of information, which was significantly lower in patients with EE at admission and improved to a higher extent in this group (both p < .001). ConclusionBoth patients with EE and patients with CE who are referred to a specialized comprehensive rehabilitation program benefit from the participation in this program with respect to emotional adaptation to epilepsy, aspects of quality of life, and level of information about epilepsy.

The association between body fat percentage and self-reported depression in the United Arab Emirates

Abstract Background The United Arab Emirates Healthy Future Study (UAEHFS) is one of the first large prospective cohort studies in the region which examines causes and risk factors for chronic diseases among adult UAE nationals. The aim of this study was to explore the relationship between body fat percentage (BF%) and the eight-item Patient Health Questionnaire (PHQ-8) as a screening instrument for depression among the UAEHFS pilot study participants. Methods We analyzed the UAEHFS pilot data to investigate the association between BF% and PHQ-8 adjusted for age and gender. We used multivariate logistic ordinal regression model. To impute missing values, 100 multiple imputations (MI) were performed using multivariate imputation of classification and regression tree. The statistical analysis was performed using R Statistical Software (version 4.2.0) Results Out of 517 participants, data from 487 (94.2%) were analyzed after excluding participants who didn't fill out the questionnaires. The median age was 30 years (Interquartile Range: 23 - 38). There were more males (67.8%) than females in the UAEHF pilot data. Approximately, 64 (13.1%) of the participant reported depression. The prevalence of obesity was 35.2% in this study population. The estimated odds ratio of BF% from the fitted multivariate logistic ordinal regression model was OR = 1.046 (95% CI: 1.012-1.08), and OR = 1.03 (95% CI: 1.003-1.057) for the omitted data, and MI (sensitivity analysis) respectively. Conclusions High body fat percentage was statistically significantly associated with high risk of reporting depression. Additional research is needed, using the main UAEHFS data (after recruitment is complete), to further investigate the association between body fat percentage and depression. Key messages • Our results can help contribute to the knowledge based on current and potential population mental health in the UAE and Gulf Region. • The main finding of this study that excess body fat is associated with an increased risk of developing depression and vice versa; thus, this could add to the future direction of mental health research.

Association between depression, happiness, and sleep duration: data from the UAE healthy future pilot study

BackgroundThe United Arab Emirates Healthy Future Study (UAEHFS) is one of the first large prospective cohort studies and one of the few studies in the region which examines causes and risk factors for chronic diseases among the nationals of the United Arab Emirates (UAE). The aim of this study is to investigate the eight-item Patient Health Questionnaire (PHQ-8) as a screening instrument for depression among the UAEHFS pilot participants.MethodsThe UAEHFS pilot data were analyzed to examine the relationship between the PHQ-8 and possible confounding factors, such as self-reported happiness, and self-reported sleep duration (hours) after adjusting for age, body mass index (BMI), and gender.ResultsOut of 517 participants who met the inclusion criteria, 487 (94.2%) participants filled out the questionnaire and were included in the statistical analysis using 100 multiple imputations. 231 (44.7%) were included in the primary statistical analysis after omitting the missing values. Participants’ median age was 32.0 years (Interquartile Range: 24.0, 39.0). In total, 22 (9.5%) of the participant reported depression. Females have shown significantly higher odds of reporting depression than males with an odds ratio = 3.2 (95% CI:1.17, 8.88), and there were approximately 5-fold higher odds of reporting depression for unhappy than for happy individuals. For one interquartile-range increase in age and BMI, the odds ratio of reporting depression was 0.34 (95% CI: 0.1, 1.0) and 1.8 (95% CI: 0.97, 3.32) respectively.ConclusionFemales are more likely to report depression compared to males. Increasing age may decrease the risk of reporting depression. Unhappy individuals have approximately 5-fold higher odds of reporting depression compared to happy individuals. A higher BMI was associated with a higher risk of reporting depression. In a sensitivity analysis, individuals who reported less than 6 h of sleep per 24 h were more likely to report depression than those who reported 7 h of sleep.

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

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

Scientific output on validation and adaptation of depression screening instruments in peruvian population.

The aim of the research was to describe the scientific output of psychometric studies on screening instruments for depression in the Peruvian population. We carried out a descriptive study of the scientific literature in Scopus, Web of Science, PubMed and SciELO, with descriptors for depression, psychometric properties, and Peru. After the review process, we included 22 studies. We found validations of screening instruments for older adults, adults, adults with depression, adult women, pregnant women, health professionals, university students, high school students and children. The Patient Health Questionnaire (PHQ-9) was the most widely used instrument. Psychometric studies cover most populations; however, native people and clinical populations remain to be studied. The PHQ-9, due to its characteristics, could be implemented in mental health policies in Peru.

Impact assessment of stereotype threat on mobile depression screening using Bayesian estimation

Mental illness screening instruments are increasingly being administered through online patient portals, making it vital to understand how the design of digital screening technologies could alter screening scores. Given the strong cross-cultural belief in the gender depression disparity, digital screening technologies are at particular risk of triggering stereotype threat, the phenomenon where a reminder of a stereotype impacts task performance. To assess this risk, we investigate if a reminder about the gender depression disparity influences the scores of digitally administered mental screening instruments. In a comprehensive study, we collect data from 440 participants with a mobile application that reminds half of the participants of the gender depression disparity prior to administering depression and anxiety screening instruments. Our statistical analysis evaluates differences in screening scores with t-tests, and determines credible values for difference of means, of standard deviations, and effect size using Bayesian estimation. While the gender depression disparity reminder had no statistically significant impact on men, it did alter the depression screening scores of women and nonbinary participants. Further, prior depression treatment increased the impact of stereotype threat on women. Our research demonstrates that digital screening technologies are subject to stereotype threat and should thus be designed to avoid biasing mental illness screening scores.

Health care professionals' experiences of screening immigrant mothers for postpartum depression-a qualitative systematic review.

Postpartum depression is considered a major public health problem, which immigrant mothers are at particular risk of being affected by, but it can also have long-lasting traumatic effects on the child's health and development. The Edinburgh Postnatal Depression Scale is the world's most commonly employed screening instrument for postpartum depression, used in connection with a clinical interview to screen for symptoms of postpartum depression. The aim of this study was to synthesize health care professionals (HCPs) experiences of identifying signs of postpartum depression and performing screening on immigrant mothers, since previous research suggested that this task might be challenging. The databases CINAHL, PubMed, PsycINFO, SocINDEX, Embase and Cochrane were searched for papers published January 2000-December 2020, reporting qualitative data on immigrants, postpartum depression and the Edinburgh Postnatal Depression Scale. Eight papers representing eight studies from four countries were included and the Critical Appraisal Skills Program was used to assess their quality. The synthesis of studies was guided by Noblit & Hare's seven-step method based on meta-ethnography. The synthesis resulted in two final themes: "I do my best, but I doubt that it's enough" and "I can find no way forward". The themes convey the fear and frustration that health care professionals experienced; fear of missing mothers with signs of postpartum depression, related to feeling uncomfortable in the cross-cultural setting and frustration in handling difficulties associated with communication, translated versions of the Edinburgh Postnatal Depression Scale and cultural implications of postpartum depression. By supporting HCPs' self-efficacy in handling cultural implications of postpartum depression and by developing evidence-based clinical guidelines for the use of interpreters and translated versions of the Edinburgh Postnatal Depression Scale the screening of immigrant mothers may be facilitated.

A Brief Depression Screening Tool for Perinatal Clinical Practice: The Performance of the PHQ-2 Compared with the PHQ-9.

There is ongoing interest in using brief screening instruments to identify perinatal depression in clinical practice. One ultra-brief screening instrument for depression is the Patient Health Questionnaire-2 (PHQ-2), but thus far its accuracy in perinatal clinical practice has been barely researched. In the present study, we aimed to assess the screening accuracy of the PHQ-2 against the Patient Health Questionnaire-9 (PHQ-9) in a large sample of perinatal women. A total of 1155 consecutive women attending 11 health care centers throughout Italy completed the PHQ-9 (which includes the PHQ-2) during pregnancy (27-40 weeks) or postpartum (1-13 weeks). Sensitivity, specificity, positive predictive value, negative predictive value, likelihood ratio positive, likelihood ratio negative, and overall accuracy were calculated using cut points 3 or greater and 2 or greater. During pregnancy, PHQ-2 greater than or equal to 3 revealed low sensitivity (38.4%-44.7%) but high specificity (97.8%-99.3%). In postpartum, it revealed moderate sensitivity (56.9%-70.6%), high specificity (95.8%-99.8%), and fair overall accuracy in pregnancy (70%). The alternative threshold greater than or equal to 2 revealed very high sensitivity (pregnancy: 92.1%-95.2%; postpartum: 87.1%-95.2%), moderate specificity (pregnancy: 78.1%-83.2%; postpartum: 68.8%-81.1%) and good overall accuracy, both during pregnancy (87%) and postpartum (84%). The PHQ-2 provided acceptable accuracy for screening for depression compared with the PHQ-9. In perinatal screening practice, a threshold of 2 or greater should be preferred as this ensures high sensitivity, missing only approximately 6% to 8% of cases, and a false-positive rate (percentage of women classified as affected with depressive symptoms when they are not) of 19% to 25%.

A blueprint for measuring and improving graduate student mental health

Objective We provide a step-by-step guide for developing, administering, evaluating, and acting on a survey-based study of graduate student mental health. Methods: Blueprint focuses on forging student-faculty collaboration and is based on Harvard University’s Graduate Student Mental Health Initiative (GSMHI). The survey tool we use includes validated screening instruments for depression, anxiety, imposter phenomenon, self-esteem, alcohol consumption, exercise and sleep habits, and loneliness. It also includes environmental questions that collect epidemiologic data, as well as ratings of advising relationships and student dynamics. Results: After 6 years, GSMHI has analyzed data from 30 different PhD programs and 4,866 students, overseen the implementation of more than 60 departmental action plans, and performed 9 follow-up surveys to assess progress. It has achieved high response rates (60–90%), discovered wide variation in mental health and environmental factors across departments, and supported experiments with interventions. Conclusion: We hope this blueprint helps other universities run similar initiatives.