Screening Tool For Depression Research Articles

Psychometric Properties of the Patient Health Questionnaire-9 for Saudi Caregivers: A Cross-Sectional Study in Saudi Arabia.

To evaluate the psychometric properties of the Arabic-language Patient Health Questionnaire-9 (PHQ-9) among Saudi caregivers of patients with chronic diseases. Using a cross-sectional design, 94 Saudi caregivers (37 male and 57 female) in the medical city participated in the study. A comparative assessment was conducted on 4 models proposed in the existing PHQ-9 literature to gauge their compatibility through confirmatory factor analyses. This study evaluates convergent validity through a correlation analysis, examining the relationship between the PHQ-9 and the Depression, Anxiety, and Stress Scale-21 (DASS-21). Among the various models we examined, the single-factor structure of the PHQ-9 displayed the best fit with the data we gathered. Notably, the Cronbach alpha coefficient for the PHQ-9 registered at .81, indicating a high level of internal consistency. Factor loadings spanned a range from .39 to .76. The convergent validity of the PHQ-9 and DASS-21 was deemed satisfactory. It is established that the PHQ-9 serves as an effective tool for depression screening among Saudi caregivers in Saudi Arabia. Its strengths lie in its demonstrated validity, dependability, brevity, and convenience of administration, positioning it as a valuable resource for preventative measures and performance assessment within mental health settings.

Prevalence of and optimal screening tool for postpartum depression in a community-based population in China

BackgroundPostpartum depression (PPD) is an important public health problem worldwide. China is planning to launch PPD screening in community settings, but there are questions on the community prevalence of PPD and validated screening tools. MethodsWe sought to recruit all eligible new mothers during postnatal home visits in two districts of Changsha, China, and after informed consent, screened them for PPD using three self-administered questionnaires—the Edinburgh Postpartum Depression Scale (EPDS), the Patient Health Questionnaire (PHQ-9), and Whooley Questions for Depression Screening. Video structured diagnostic interviews were performed online according to Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) by qualified specialists who were blinded to screening results. Optimal screening was determined based on the acceptability of scales and diagnostic accuracy metrics including sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). ResultsOut of 3004 eligible women, 2730 (90.9 %) completed the screening questionnaires. Among those screened, the video structured diagnostic interview was administered to 1862 (68.2 %) and 62 (3.3 %) were diagnosed with a current depressive condition. The optimal screening approach involved combining Whooley Questions (at least one “yes”) with EPDS (cutoff >10) in series, with sensitivity of 0.76 (95 % CI 0.63 to 0.85), specificity of 0.93 (0.92 to 0.94), PPV of 0.28 (0.21 to 0.36) and NPV of 0.99 (0.98 to 1.00). LimitationsDue to the regional sample and exclusion of mothers with telephone contact rather than home visits, our findings may not be fully generalizable to the entire population. ConclusionsThe prevalence of PPD among women in this sample was substantially lower than those reported in previous studies in China, the majority of which used screen positivity in measuring prevalence. Combining Whooley Questions with EPDS in series is the most optimal screening approach in this population, though this would still result in a high number of false positives at current prevalence.

Optimal cut-offs of depression screening tools during the COVID-19 pandemic: a systematic review

BackgroundStudies have reported an increase in the prevalence of depression during the COVID-19 pandemic. The accuracy of screening tools may change with the prevalence and distribution of a disease in a population or sample: the “Spectrum Effect”.MethodsFirst, we selected commonly used screening tools and developed search strategies for the inclusion of original studies during the pandemic. Second, we searched PsycINFO, EMBASE, and MEDLINE from March 2020 to September 2022 to obtain original studies that investigated the accuracy of depression screening tools during the pandemic. We then searched these databases to identify meta-analyses summarizing the accuracy of these tools conducted before the pandemic and compared the optimal cut-offs for depression screening tools during the pandemic with those before.ResultFour original studies evaluating the optimal cut-offs for four screening tools (Beck Depression Inventory [BDI-II], Hospital Anxiety and Depression Scale-Depression [HADS-D], Patient Health Questionnaire-9 [PHQ-9], and Geriatric Depression Scale-4 [GDS-4]) were published during the pandemic. Four meta-analyses summarizing these tools before the pandemic. We found that the optimal cut-off of BDI-II was 14 during the pandemic (23.8% depression prevalence, screening patients with Type 2 diabetes) and 14.5 before the pandemic (17.6% depression prevalence, screening psychiatric, primary care, and healthy populations); HADS-D was 10 during the pandemic (23.8% depression prevalence, screening patients with type 2 diabetes) and 7 before the pandemic (15.0% depression prevalence, screening medically ill patients); PHQ-9 was 11 during the pandemic (14.5% depression prevalence, screening university students) and 8 before the pandemic (10.9% depression prevalence, screening the unrestricted population), and GDS-4 was 1.8 during the pandemic (29.0% depression prevalence, screening adults seen in a memory clinic setting) and 3 before the pandemic (18.5% depression prevalence, screening older adults).ConclusionThe optimal cut-off for different screening tools may be sensitive to changes in study populations and reference standards. And potential spectrum effects that should be considered in post-COVID time which aiming to improve diagnostic accuracy.

Validation of the anxiety subscale of the Spanish version of the Edinburgh Postnatal Depression Scale (EPDS-A).

There is a need to implement routine perinatal mental health screening in Spain. Therefore, it is necessary to systematise the detection of depressive and anxious symptoms in pregnancy and postpartum using the same instrument. The Edinburgh Postnatal Stress Depression Scale (EPDS) is frequently used as a rapid, effective and cross-culturally validated screening tool for perinatal depression. In several countries, an Anxiety subscale, the EPDS-A, was identified within the EPDS. Although the factorial structure of the EPDS has been investigated in Spanish population, the EPDS-A has not yet been validated. This study aimed to validate the EPDS-A as a measure of perinatal anxiety in Spanish population. 161 women were evaluated with the EPDS and the State-Trait Anxiety Inventory (STAI) during pregnancy and postpartum. Confirmatory factor analysis (CFA) was used to confirm the trifactorial structure of the EPDS, comprising the dimensions of Depression, Anhedonia and Anxiety. Likewise, the invariance of the trifactorial model between pregnancy and postpartum was tested. Finally, the correlations between the EPDS-A and the STAI subscales (State Anxiety and Trait Anxiety) were calculated. The Exploratory factor analysis (EFA) driven three-factor structure of the EPDS, consisting of an Anhedonia factor (Items 1, 2, and 10), an Anxiety factor (Items 3, 4, 5, and 6) and a Depression factor (Items 7, 8, and 9), was the best measurement model for the current data compared to the alternative model tested [χ2 = 34.592, df = 32, p = 0.34; χ2/df = 1.08; RMSEA = 0.023, 90% Confidence Interval [CI] [0.000, 0.064], CFI = 0.996, GFI = 0.960]. The model's invariance between pregnant and postpartum women was confirmed. The existence of an Anxiety subscale within the EPDS was also confirmed. The scores obtained with the EPDS-A correlated moderately with scores on both subscales of the STAI during pregnancy and after delivery. Using the STAI as a criterion and prioritising the instrument's sensitivity, a cut-off point of 4 points was established for the EPDS-A. Our results confirm the trifactorial structure of the EPDS in Spanish population. The Anxiety subscale was validated for routine perinatal mental health screening.

Developing an appropriate depression and anxiety screening tool for use with Australian First Nations peoples living in the Torres Strait and Northern Peninsula Area of Australia: Protocol for a Delphi study.

Tools that screen for depression and anxiety developed using the Western biomedical paradigm are still used with First Nations peoples globally, despite calls for cross-cultural adaption. Recent work by the research team found that tools used to screen for depression and anxiety were not appropriate for use with Australian First Nations peoples living in the Torres Strait and Northern Peninsula Area (NPA). of Australia. Consequently, the objective of this Delphi study is to gain consensus from an expert mental health panel to inform the development of an appropriate depression and anxiety screening tool(s). A Delphi study with Australian expert panellists will be used to reach consensus about whether an existing screening tool should be used or whether adaption or new tool development should take place. Three sequential rounds of anonymous online surveys will be used to reach consensus. The first round will seek consensus about the tool(s). Subsequent rounds will seek consensus on the development of the tool(s) identified in round one. Panellists will be identified using a combination of authorship of related publications, established national clinical or research profile in First Nations mental health, and/or by peer referral. Consensus will be reached when 75% of the panel agree. When agreement is not reached suggestions will be taken to the next round. If agreement is not achieved by the third round, the Steering Committee will make any outstanding decisions. Dissemination of the findings through continuing community engagement, conference presentations and publications will be led by Torres Strait Islander members of the research team.

Increasing postpartum depression screening and resources in pediatric primary care: A quality improvement project to enhance provider confidence

BackgroundUnidentified and untreated postpartum depression (PPD) can have a negative impact on children. This Quality Improvement (QI) project aimed to increase PPD screening through provider education and enhancing pediatric primary care provider (PCP) confidence in using the Edinburg Postnatal Depression Screening (EPDS) tool, discussing PPD with mothers, and providing resources. Design and methodsPCPs and staff were educated on the project. Providers were surveyed prior to and after implementation to assess confidence with screening for and addressing PPD. Mothers of infants 0–6 months were screened using the EPDS at well-care visits. Discussion of PPD and resource support was provided if needed. ResultsA total of 273 mothers met criteria for screening, and of those 65% (n = 178) had a documented score. 12.4% of mothers had a score of 10 or greater, indicating high risk for PPD. Results from PCPs were compared both pre- and post-project. Screening for PPD increased from 3 to 4.5, using the EPDS tool from 2.25 to 4.75, discussing PPD with mothers from 2.75 to 4.25, and providing resources from 2.25 to 4.25. ConclusionsPPD screening increased, and provider confidence with using the EPDS, discussing PPD with mothers, and providing resources in pediatric primary care increased.Practice Implications: Educating PCPs on the importance of PPD screening and providing resources for at-risk mothers can increase identification of PPD in the primary care setting. Enhancing the confidence of providers to discuss PPD with mothers and offer resources to those in need can lead to better outcomes for pediatric patients and their families.

Managing Your Own Wellness (MYOW): Intervention for improving wellness through dementia care partner’s self‐care

AbstractBackgroundCaring for a person living with dementia (PLWD) can be a stressful and straining experience for family/friend care partners (CP), often leading to an increased risk for adverse psychosocial and health outcomes (e.g., depression, anxiety, mortality). Engaging in self‐care can reduce these risks and improve health. Yet, comprehensive tools that measure self‐care as a dynamic concept in the context of dementia caregiving do not exist. “Managing Your Own Wellness” [MYOW] checklist was created and validated to capture dementia CP self‐care behaviors and to inform the development of a brief, tailored person‐centered intervention. The study’s objective was to pilot test this intervention, with the ultimate goal of informing a new generation of CP interventions that address the complex and wide range of self‐care needs.MethodNineteen primary dementia CPs completed the study and participated in the baseline visit to establish a self‐care goal, three weekly check‐in coaching visits with the interventionist, and a final exit interview at week four. Measures at baseline, week four, and week 12 included MYOW, well‐being scale, single item tool for perceived strain and stress, and screening tools for depression and anxiety. Participants completed daily tracking forms to report their engagement and perception of progress in their selected self‐care activity. All interviews were transcribed and coded using thematic content analysis. Study measures were evaluated using correlation analyses.ResultsCP’s increased engagement in self‐care activities and improved sense of well‐being were captured by quantitative measures. Qualitative analysis revealed themes involving a change in relationship dynamics, evolution of the sense of self, shift in internal personal perspective (acceptance) and its effects on CP behaviors (increased patience, less frustration), and perception of PLWD interactions (more cooperative).ConclusionMYOW intervention had high acceptability and demonstrated high potential for broad dissemination. CP engaged in developing and following through on personalized self‐care goals and in tracking their progress. The impact of self‐care is dynamic and multi‐faceted. Focusing on brief daily wellness‐related activities has mutual benefits for CP and PLWD. Future research should be focused on further simplifying intervention protocols and measures and evaluating the intervention with a larger diverse sample of CP.

Early Detection of Depression in Parkinson's Disease: Psychometrics and Diagnostics of the Spanish Version of the Beck Depression Inventory.

Depression is one of the most disabling non-motor symptoms in Parkinson's disease (PD) and requires proper diagnosis as it negatively impacts patients' and their relatives quality of life. The present study aimed to examine the psychometric and diagnostic properties of the Beck Depression Inventory-I (BDI-I) in a Spanish PD cohort. Consecutive PD outpatients completed the Spanish version of the BDI-I and other questionnaires assessing anxiety and apathy. Patients' caregivers completed the depression/dysphoria domain of the Neuropsychiatric Inventory (NPI-D). The internal consistency, convergent and divergent validity and the factorial structure of BDI-I were evaluated, and an optimal cut-off was defined by means of the Youden index. The BDI-I proved to have a good internal consistency and was underpinned by a mono-component structure. Regarding construct validity, the BDI-I was substantially related to anxiety and apathy measures in PD. Furthermore, the BDI-I overall showed good accuracy with adequate sensitivity and specificity. The optimal cut-off point was defined at 10. We provided evidence of the psychometric and diagnostic properties of the Spanish version of the BDI-I as a screening tool for depression in Spanish speaking PD patients, suggesting its usefulness in clinical research and practice.

Identification of central symptoms of children depression and development of two short version of Children's Depression Inventory: Based on network analysis and machine learning

BackgroundUsing network analysis to study the central symptoms is important for understanding the mechanism of depression symptoms and selecting items for the short version depression screening scale. This study aimed to identify the central symptoms of depression and develop the short and effective depression screening tools for Chinese rural children. MethodsFirstly, the 2458 individuals (Mage = 10.74; SDage = 1.64; 51.2 % were female) were recruited from the rural children's mental health database. Children's Depression Inventory (CDI) was used to assess depression symptoms. Then, network analysis was used to identify the central symptoms of depression. The accuracy, stability, and gender invariance of the depression symptoms network were tested. Finally, a short version of CDI with central symptoms (CDI-SC) and a new CDI-10 (CDI-10-N) were developed by network analysis and feature selection techniques to optimize the existing CDI-10. Their performances in screening depression symptoms were validated by the cutoff threshold and machine learning. ResultsThe central symptoms of Chinese rural children's depression were sadness, self-hatred, loneliness and self-deprecation. This result was accurate and stable and depression symptoms network has gender invariance. The AUC values of CDI-10-N and CDI-SC are over 0.9. The CDI-10-N has a higher AUC than CDI-10. The optimal cutoff thresholds for CDI-10-N and CDI-SC are 6 and 1. The performance of machine learning on AUC generally outperforms those of cutoff threshold. ConclusionsThe central symptoms identified in this study should be highlighted in screening depression symptoms, and CDI-10-N and CDI-SC are effective tools for screening depression symptoms in Chinese rural children.

Help us help you using technology to maximize resource response to patient reported SDoH and depression screening.

576 Background: Social determinants of health (SDoH) are associated with inferior health outcomes, morbidity, life expectancy, and healthcare expenses. Screening for SDoH is increasingly incorporated into routine clinical practice, however clinical decision support and resources addressing positive SDoH screening are less robust. As part of the ASCO PC4, we developed an electronic workflow that utilizes SDoH and depression screening tools with prepopulated referrals to assist the clinician in directing the referral to the most appropriate supportive service. Methods: Smilow Cancer Hospital ASCO Patient Centered Care Certification Implementation Team collaborated with our social work, psycho oncology, and Community Health Worker (CHW) to optimally screen and respond to patients who screened positive for SDoH or depression. A workflow was established using Welcome Web software in combination with Epic to transfer patient results collected in the waiting room via iPad to the patient’s medical record. Positive screening results trigger a best practice advisory when clinician opens chart. The alert links to a Smartset prepopulating an order to the appropriate resource for the reported need. Patients with transportation, food insecurity, or housing concerns were referred to Community Healthcare Worker. Social workers received referrals for patients with social connection concerns and PHQ-9 scores between 9-14. Patients with a PHQ-9 score of 15 and above were referred to the psycho-oncology team. A specialized workflow was created for any patient who responded positively to thoughts of self-harm. These patients received an immediate intervention and were screened using the Columbia Suicide Severity Screening Tool. Results: See table. Conclusions: Incorporating SDoH screening alongside clinical decision support and automated referrals was feasible. Technology enabled screening enhances efficiency and assists clinicians with direct referrals to the appropriate resource, while allowing resources to operate at the top of their licensure and enhance efficiency. Future Directions for Research: 1. Monitor emergency room utilization, admissions, and unplanned visits for patients receiving services from CHW, Social Work, and Psycho-oncology services. 2. Monitor work queue volumes to assess if directed referrals expedite response.[Table: see text]

Validating the Edinburgh Postnatal Depression Scale Against the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition for Use in Uganda.

The Edinburgh Postnatal Depression Scale (EPDS) is a widely acknowledged screening tool for postpartum depression (PPD) globally, but its validation in Uganda has been lacking. This study aimed to assess the EPDS's accuracy as a PPD screening tool in Uganda compared to the Mini-International Neuropsychiatric Interview (MINI 7.0.2) based on the DSM-5. This was a descriptive cross-sectional study conducted at a referral hospital and two peri-urban primary care postpartum clinics in rural southwestern Uganda. We enrolled 287 mothers aged 18 to 49 at their six-week postpartum visit. The EPDS was used for initial screening, and the MINI 7.0.2 was employed for clinical diagnosis. The study used the Runyankore-Rukiga language version of the EPDS and collected data from November 11, 2019, to June 10, 2020, with the MINI 7.0.2 as the reference standard. The overall PPD prevalence was 29.5%, as opposed to 26.5% with EPDS and MINI 7.0.2 DSM-5 criteria (p = 0.239). The EPDS demonstrated a sensitivity of 86.8%, specificity of 92.1%, positive predictive value of 80.5%, and negative predictive value of 94.9%. A cutoff score of ≥10 was found to be the most effective acceptable point after drawing the AUC of ROC and determining the most appropriate point using Youden's index. The area under the ROC curve, indicating the scale's overall performance against MINI 7.0.2, was 0.89 for Bwizibwera HCIV, 0.97 for Kinoni HCIV, and 0.84 for MRRH. In conclusion, the EPDS can effectively screen for postpartum depression in southwestern Uganda using a cutoff score of ≥10. It exhibits strong diagnostic performance in correctly identifying PPD in postpartum mothers.

Validation and Clinical Utility of the PHQ-9 and CES-D as Depression Screening Tools in Collegiate Student-Athletes.

The National Athletic Trainers' Association recommends including mental health screening measures as part of the pre-participation exam (PPE) for all student-athletes. Despite this recommendation, most mental health screening tools have not been validated in the student-athlete (SA) population. To validate and examine clinical utility of two depression screening tools in the collegiate SA population. Cross-sectional mixed methods design. Two Northeastern United States university athletics programs. A total of 881 (male = 426, 48.4%; females = 455, 51.6%; mean age 19.7 ± 1.4 years old) NCAA Division-II collegiate SAs completed the PHQ-9 and CES-D; 290 SAs participated in a MINI clinical interview. Depression symptoms were measured using two self-reported depression screening tools, the PHQ-9 and CES-D, during the fall PPE. SAs were selected using a random stratified sampling technique to participate in a MINI Structured Clinical Interview, as the reference standard comparison for the ROC analysis. A cut-off score of 6 on the PHQ-9 corresponded to 78% sensitivity, 75% specificity, 17.3% PPV, 98.1% NPV, 3.2 LR+, and 0.3 LR-. A cut-off score of 15 on the CES-D corresponded to 83% sensitivity, 78% specificity, 19.7% PPV, 98.6% NPV, 3.7 LR+, and 0.22 LR-. This was the first study to validate depression screening tools in the collegiate SA population. The results suggest cut-off scores on the PHQ-9 and CES-D in SA may need to be lowered when compared to those recommended for the general population and provide strong evidence for use as screeners to rule out depression. Referral and confirmatory testing should be implemented to confirm the presence of depression for SA scoring at or above cutoff thresholds. Given its brevity, inclusion of a suicidality/self-harm question, and evidence of LR-/NPV strength, the PHQ-9 is a practical and effective screener for the SA population.

Frequency and Characteristics of Depression and Its Association with Diminished Quality of Life in a Cohort of Individuals with Post-Acute Sequelae of COVID-19.

Approximately one-third of COVID-19 survivors will experience persistent symptoms, which may include neurological and psychiatric disturbances. Previous research has suggested that up to 45% of people develop clinically significant depressive symptoms post-COVID. This study sought to determine frequency, symptom profile, and clinical correlates of depression post-COVID. Seventy-five participants who had recovered from COVID-19 underwent neurocognitive, psychiatric, medical, and cognitive testing/screening. The primary measures of interest in this report included the Patient Health Questionnaire (PHQ-9), a 9-item depression-screening tool, and the Endicott Quality of Life Enjoyment and Satisfaction Questionnaire. One-third of study participants screened as positive on the PHQ-9 for clinically significant depression, with the most commonly reported symptom being fatigue, followed by sleep disturbance and poor concentration. Also reported were decreased satisfaction in employment, sexual life, and mood. Depressed patients described greater illness severity during COVID-19 infection and subjective cognitive impairment, which was not found on neurocognitive testing. The only significant predictor of depression was COVID-19 illness severity. A significant portion of participants was a clinical population with specific post-COVID complaints and was predominately comprised of white females. Formal psychiatric evaluation was not performed. Many individuals may experience depression after COVID-19 infection, with symptoms appearing to be predominately somatic in nature and correspond with COVID-19 illness severity.

From PHQ-2 to SRS-22: how a depression screening tool relates to SRS scores in patients with adolescent idiopathic scoliosis.

The aim of our study was to determine the relationship between Patient Health Questionnaire (PHQ) scores-a simple, validated depression screening tool-and Scoliosis Research Society (SRS)-22 questionnaire scores in patients with idiopathic scoliosis (IS). IS patients screened for depression with the PHQ-2 who completed the SRS-22 over a 2-year period were reviewed. If PHQ-2 scores were positive (> 3), the more comprehensive PHQ-9 was administered. Median SRS-22 scores between positive and negative PHQ screens were compared. Nonparametric correlation between PHQ and SRS-22 Mental Health (MH) domain was performed. The ability of the MH domain to discriminate between patients with positive versus negative screens and patients with moderate-severe depression risk versus no-mild risk was evaluated with ROC analysis. 521 patients were included. Patients with + PHQ-2 screens had significantly lower total and individual domain SRS scores, especially within the MH domain (4.0 vs. 3.2). For those with moderate-severe depression risk, total and individual domain scores were also significantly lower (MH domain, 4.0 vs. 3.0, p < 0.05). A weak, but significant correlation was observed between the PHQ and MH domain scores (rho = 0.32, p < 0.001). A cut-off of ≥ 3.6 on the MH domain demonstrated sensitivity of 0.75 and specificity of 0.86 for identifying patients at no-mild risk for depression. Recognizing mental health conditions is critical to successful IS treatment as psychosocial conditions can negatively affect treatment outcomes. IS patients scoring < 3.6 on the SRS-22 MH domain should be considered for depression screening due to an increased risk of moderate-severe depression.

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.

Depression screening tool accuracy individual participant data meta-analyses: data contribution was associated with multiple factors

ObjectivesTo examine the proportion of eligible primary studies that contributed data, study characteristics associated with data contribution, and reasons for noncontribution using diagnostic test accuracy Individual Participant Data Meta-Analysis (IPDMA) data sets from the DEPRESsion Screening Data project. Study Design and SettingWe reviewed data set contributions from four IPDMAs. A multivariable logistic regression model was fitted to evaluate study factors associated with data contribution. ResultsOf 456 eligible studies from four included IPDMAs, 295 (65%) contributed data. More recent year of publication and higher journal impact factor were associated with greater odds of data contribution. Studies conducted in Europe (excluding the United Kingdom), Oceania, Canada, the Middle East, Africa, and Central or South America (reference = the United States), that have recruitment from inpatient care or nonmedical settings (reference = outpatient), that reported screening accuracy results, or that drew negative conclusions (reference = positive conclusions) were more likely to contribute data. Studies of the Geriatric Depression Scale (reference = the Patient Health Questionnaire) or lacking funding information were negatively associated with data contribution. Over 80% of noncontributions were due to authors being unreachable or data being unavailable. ConclusionThe study identified factors associated with data contribution that may support future research to promote data contribution to IPDMAs.

Screening depression and anxiety in Indigenous peoples: A global scoping review.

Indigenous peoples' worldviews are intricately interconnected and interrelated with their communities and the environments in which they live. Their worldviews also manifest in a holistic view of health and well-being, which contrasts with those of the dominant western biomedical model. However, screening depression and/or anxiety in Indigenous peoples often occurs using standard western tools. Understandably, the cultural appropriateness of these tools has been questioned. The purpose of this scoping review was to map the literature that used any type of tool to screen depression or anxiety in Indigenous adults globally. A systematic scoping review method was used to search databases including, but not limited to, CINAHL, PubMed, Scopus and Google. Database-specific search terms associated with Indigenous peoples, depression and anxiety, and screening tools were used to identify literature. In addition, citation searches of related systematic reviews and relevant websites were conducted. The data set was limited to English language publications since database inception. Fifty-four publications met the review's inclusion criteria. Most studies were completed in community settings using standard western depression and anxiety screening tools. Thirty-three different tools were identified, with the Patient Health Questionnaire-9 being the most frequently used. The review's findings are concerning given repeated calls for culturally appropriate screening tools to be used with Indigenous peoples. Although there has been some work to cross-culturally adapt depression screening tools for specific Indigenous populations, clearly more clinicians and researchers need to be aware of, and use, culturally appropriate approaches to screening.

The diagnostic accuracy of the Edinburgh Postnatal Depression Scale without the self-harm item

The Edinburgh Postnatal Depression Scale (EPDS) is the most commonly used screening tool for perinatal depression. However, the 10th item of the EPDS intended to evaluate suicide ideation does not accurately capture suicide ideation and may cause psychological distress. Whereas endorsement of the strongest agreement “yes, quite often” on this item may be associated with suicide ideation, the response on this frequency is perfectly predicted by the EPDS full score. The discard of this item, therefore, is preferred. In the current study, using data from a nation-wide internet survey conducted in Japanese postpartum (n = 5688) and pregnant women (n = 1639), we show that the EPDS-9 without the 10th item correlates perfectly with the full EPDS or EPDS-10. Furthermore, the EPDS-9 and EPDS-10 have equivalent performance in differentiating participants' self-reported depression diagnosis as well as Kessler Psychological Distress Scale (K6)-based screening of depression. Lastly, at the cutoff of 9, the EPDS-9 performs well in predicting participants’ response on the 10th item of EPDS; specifically, the sensitivity of differentiating frequent thoughts of self-harm is 0.968 and 1 in postpartum and pregnant women, respectively. Therefore, the EPDS-9 performs equivalently to EPDS-10 and can be considered to replace EPDS-10 in future use.

Validity of the short-form five-item Problem Area in Diabetes questionnaire as a depression screening tool in type 2 diabetes mellitus patients.

Depression is prevalent in diabetes patients and associated with poor outcomes, but is currently underdiagnosed, with no firm consensus on screening methods. We evaluated the validity of the short-form five-item Problem Areas in Diabetes (PAID-5) questionnaire as a screening tool for depression, comparing it with the Beck Depression Inventory-II (BDI-II) and nine-item Patient Health Questionnaire (PHQ-9). A total of 208 English-speaking adults with type 2 diabetes, recruited from outpatient clinics, completed the BDI-II, PHQ-9 and PAID-5 questionnaires in English. Cronbach's α was used for internal reliability. Convergent validity was examined with BDI-II and PHQ-9. Receiver operating characteristics analyses were used to identify optimal PAID-5 cut-offs for the diagnosis of depression. All three screening tools were highly reliable, with BDI-II, PHQ-9 and PAID-5 having a Cronbach's α of 0.910, 0.870 and 0.940, respectively. There was a good correlation between BDI-II and PHQ-9, with a correlation co-efficient (r) of 0.73; and a moderate correlation between PAID-5 and PHQ-9, and PAID-5 and BDI-II, with r of 0.55 and 0.55 respectively (P values <0.01). An optimal PAID-5 cut-off ≥9 corresponded to both a BDI-II cut-off >14 (sensitivity 72%, specificity 784%, area under the curve 0.809) and a PHQ-9 cut-off >10 (sensitivity 84%, specificity 74%, area under the curve 0.806). Using a PAID-5 cut-off ≥9, the prevalence of depressive symptoms was 36.1%. Depressive symptoms are prevalent in people with type 2 diabetes, with the degree of distress significantly related to the severity of depressive symptoms. PAID-5 is a valid and reliable screening tool, and a score ≥9 could prompt further confirmation for depression.

Kazakh version of the beck depression inventory: Validation study in female cancer patients

This study aimed to evaluate the validity of the Beck Depression Inventory (BDI-II) as a screening tool for depression among Kazakh-speaking female cancer patients. A cross-sectional study design with random sampling was used to collect and analyze data from 115 female cancer patients. Means, sensitivity, specificity, and positive and negative predictive values were calculated. An analysis of receiver operating characteristic (ROC) curves was conducted to determine the optimal cut-off score for the BDI-II in this population as a screening tool for depression. Test-retest reliability and internal consistency were also tested. Results showed that using a BDI-II cut score of 15 retained high sensitivity (82.7%), increased specificity (75.0%), and improved positive (86.1%) and negative predictive values (69.8%) of the BDI-II compared to a cut score of 14. Kazakh BDI-II indicated excellent consistency (Cronbach's alpha of 0.86) and reliability (intraclass correlation coefficient (ICC) of 0.92 (95% CI [0.89–0.94])). The use of this valid screening tool can facilitate the diagnosis of depression in female cancer patients.