Screening Tool For Depression Research Articles

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 Patient Health Questionnaire-9 and Center for Epidemiologic Studies Depression Scale as Depression Screening Tools in Collegiate Student-Athletes.

The National Athletic Trainers' Association recommends including mental health screening measures as part of the preparticipation examination for all student-athletes (SAs). Despite this recommendation, most mental health screening tools have not been validated in the SA population. To validate and examine the clinical utility of 2 depression screening tools in the collegiate SA population. Cross-sectional mixed-methods study. Two Northeastern United States university athletics programs. A total of 881 (men = 426, 48.4%; women = 455, 51.6%; mean age = 19.7 ± 1.4 years) National Collegiate Athletic Association Division II collegiate SAs completed the Patient Health Questionnaire-9 (PHQ-9) and Center for Epidemiologic Studies Depression Scale (CES-D); 290 SAs participated in a Mini-International Neuropsychiatric Interview. Depression symptoms were measured using 2 self-report depression screening tools, the PHQ-9 and CES-D, during the fall preparticipation examination. The SAs were selected using a random stratified sampling technique to participate in a Mini-International Neuropsychiatric Interview as the reference standard comparison for the receiver operating characteristic analysis. A cutoff score of 6 on the PHQ-9 corresponded to 78% sensitivity, 75% specificity, 17.3% positive predictive value, 98.1% negative predictive value (NPV), 3.2 positive likelihood ratio (+LR), and 0.3 negative likelihood ratio (-LR). A cutoff score of 15 on the CES-D corresponded to 83% sensitivity, 78% specificity, 19.7% positive predictive value, 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 cutoff scores on the PHQ-9 and CES-D in SA may need to be lower than 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 SAs scoring at or above the cutoff thresholds. Given its brevity, inclusion of a suicidality or self-harm question and evidence of -LR and 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.

Prediction of depression onset risk among middle-aged and elderly adults using machine learning and Canadian Longitudinal Study on Aging cohort

BackgroundEarly identification of the middle-aged and elderly people with high risk of developing depression disorder in the future and the full characterization of the associated risk factors are crucial for early interventions to prevent depression among the aging population. MethodsCanadian Longitudinal Study on Aging (CLSA) has collected comprehensive information, including psychological scales and other non-psychological measures, i.e., socioeconomic, environmental, health, lifestyle, cognitive function, personality, about its participants (30,097 subjects aged from 45 to 85) at baseline phase in 2012–2015. We applied machine learning models for the prediction of these participants' risk of depression onset approximately three years later using information collected at baseline phase. ResultsIndividual-level risk for future depression onset among CLSA participants can be accurately predicted, with an area under receiver operating characteristic curve (AUC) 0.791 ± 0.016, using all baseline information. We also found the 10-item Center for Epidemiological Studies Depression Scale coupled with age and sex information could achieve similar performance (AUC 0.764 ± 0.016). Furthermore, we identified existing subthreshold depression symptoms, emotional instability, low levels of life satisfaction, perceived health, and social support, and nutrition risk as the most important predictors for depression onset independent from psychological scales. LimitationsDepression was based on self-reported doctor diagnosis and depression screening tool. ConclusionsThe identified risk factors will further improve our understanding of the depression onset among middle-aged and elderly population and the early identification of high-risk subjects is the first step for successful early interventions.

Factor Structure and Measurement and Structural Invariance of the Edinburgh Postnatal Depression Scale during the Perinatal Period among Japanese Women: What Is the Best Model?

The Edinburgh Postnatal Depression Scale (EPDS) is a widely used screening tool for perinatal depression. Its factor structure is still a debatable topic. Our study aimed to examine the factor structure and measurement invariances of the Japanese version of the EPDS from late pregnancy to early postpartum. A total of 633 women were followed with the EPDS at three times over the perinatal period: late pregnancy (n = 633), 5 days after childbirth (n = 445), and 1 month after childbirth (n = 392). We randomly divided the participants into two groups: one for exploratory factor analyses (EFAs) and another for confirmatory factor analyses (CFAs). The result of the EFAs indicated different factor models at each time point. Hence, CFAs were performed using the second sample set to compare different models including the ones previously reported. A 3-factor model consisting of depression (items 7, 9), anxiety (items 4, 5), and anhedonia (items 1, 2) (Kubota et al., 2018) was consistently stable during the whole perinatal period. Kubota's 3-factor model showed invariance across the perinatal period.

0633 Age matters: Association between age and depression severity at the time of OSA diagnosis, and PAP adherence in adult patients

Abstract Introduction Numerous studies have shown association and symptom overlaps between Obstructive Sleep Apnea (OSA) and depression. However, data is limited on association between age, severity of depression at time of OSA diagnosis, and its impact on PAP adherence. Patient Health Questionnaire-9 (PHQ-9) is a validated depression screening and severity scoring tool recommended by DSM-V. In this retrospective observational study, we will evaluate the interrelationship between age at OSA diagnosis, depression severity and positive airway pressure (PAP) adherence. Methods Patients were seen at the University of California, San Francisco Fresno sleep center. PHQ-9 scores for depression severity uses a 1-5 scale (1 = none, 2 = mild, 3 = moderate, 4 moderately severe, 5 = severe). PHQ-9 was administered at diagnosis of OSA and follow up, and average daily PAP usage was obtained from PAP devices after 1 month of therapy initiation. IBM SPSS version 29.0.0 was used to calculate descriptive statistics, Pearson correlation and Mann Whitney test. Results Twenty-six participants were included with mean age 53.04 years and standard deviation (SD) 17.97. PHQ-9 scores ranged 4-27 with mean 10.6, SD 5.9, 40% with mild and 66.3% with moderate to severe scores. 53.8% were 50 years or older (“older”) while 46.2% were 49 years or younger (“younger”). Pearson correlation between average CPAP use and PHQ-9 scores was 0.181. Age did not affect PAP adherence (Pearson correlation -0.046). Moderate correlation was noted between age and PHQ-9 scores (-0.4390) with younger patients showing more severe depression scores. Comparison between “older” and “younger” patients showed significant difference in PHQ-9 scores (p=0.020). Conclusion This study showed that PHQ-9 scores at the time of OSA diagnosis are moderately correlated with younger age, with those patients younger than 50 years old having more moderate to severe PHQ-9 scores than patients 50 years or older. We did not find correlation between age and PAP adherence or between PHQ-9 scores and PAP adherence. Our findings can help identify depression early on in the diagnosis of obstructive sleep apnea and bring awareness that the young adult population can be particularly vulnerable. Support (if any)

Screening for anxiety and depression in clinical practice: Translating scores from WHO-5/ASS-2/MDI-2 to HADS.

The aim of this study was to evaluate if a combination of World Health Organization-5 (WHO-5), Anxiety Symptom Scale-2 (ASS-2) and Major Depression Inventory-2 (MDI-2) can replace the Hospital Anxiety and Depression Scale (HADS) as screening tool for anxiety and depression in cardiac patients across diagnoses, and whether it is feasible to generate crosswalks (translation tables) for use in clinical practice. We used data from the Danish 'Life with a heart disease' survey, in which 10,000 patients with a hospital contact and discharge diagnosis of ischemic heart disease (IHD), heart failure (HF), heart valve disease (HVD) or atrial fibrillation (AF) in 2018 were invited. Potential participants received an electronic questionnaire including 51 questions on health, well-being, and evaluation of the health care system. Crosswalks between WHO-5/ASS-2 and HADS-A, and between WHO-5/MDI-2 and HADS-D were generated and tested using item response theory (IRT). A total of 4346 patients responded to HADS, WHO-5, ASS-2, and MDI-2. Model fit of the bi-factor IRT models illustrated appropriateness of a bi-factor structure and thus of essential uni-dimensionality (RMSEA(p value) range 0.000-0.053(0.0099-0.7529) for anxiety, and 0.033-0.061(0.0168-0.2233) for depression). A combination of WHO-5 and ASS-2 measured the same trait as HADS-A, and a combination of WHO-5 and MDI-2 measured the same trait as HADS-D. Consequently, crosswalks (translation tables) were generated. Our study shows that it is feasible to use crosswalks between HADS-A and WHO-5/ASS-2, and HADS-D and WHO-5/MDI-2 for screening cardiac patients across diagnoses for anxiety and depression in clinical practice.

Depression in brain tumor patients—early detection and screening

BackgroundDepression is reported in up to 90% of cancer patients but to this date, a standardized screening tool for depression specifically modified for patients diagnosed with brain tumors is lacking. Thus, this study aims to develop an adapted screening tool and identify a suitable time slot for screening.MethodsSixty-one patients with brain lesions were interviewed prior to neurosurgical resection. For screening purposes, established depression scores were used. A study-specific questionnaire (SSQ) was developed based on patient interviews prior to the trial. Two subgroups were analyzed: patients with benign and patients with malignant tumors (including brain metastases). As a subgroup within malignant lesions, patients with glioblastoma (GBM) were also analyzed separately.ResultsOf patients, 87.5% with GBM presented with results > 16 points on the Center for Epidemiologic Studies Depression Scale (CES-D) after surgery. A decline in patients with benign brain tumors (p = 0.0058) and an increase in patients with malignant tumors (p = 0.0491) could be shown over time for CES-D scores. In this study, we established a new prototype screening tool for depression. In patients diagnosed with GBM, the number of patients needed to screen for identification of symptoms of depression was 1.59. Best time for screening was 35 days after surgery.ConclusionsConsidering the high prevalence and low number needed to screen of depression in patients diagnosed with GBM, we strongly encourage their routine screening during follow-up appointments (35 days after surgery). We encourage a plan to further establish the questionnaire developed in this pilot study.

Attitudes, confidence, barriers and current practice of managing depression in patients with COPD in Saudi Arabia: a national cross-sectional survey

ObjectiveTo investigate physicians’ perceptions and current practices of identifying and managing depression in patients with chronic obstructive pulmonary disease (COPD).DesignA cross-sectional online survey was employed between March and September 2022.SettingsSaudi...