Screening Tool For Depression Research Articles

Building a SW program in a private hem/onc practice: Using the PHQ-9 as a starting point.

266 Background: Hematology/oncology patients historically have high need for social work support. Community practices lack the structure and financial support of hospital practices, often hindering the growth of social work programs. PHQ-9 is a 9-question multipurpose tool for depression screening, diagnosing, monitoring and intervening. This project assessed using the PHQ-9 as a central focus to build a SW program: staff education, EHR automaticity improvement, and enhancement of patient navigation to improve PHQ-9 compliance and patient interventions. Methods: In a multi-office Hem/Onc practice, patients complete the PHQ-9 self-assessment tool, data is entered by MAs, and MD completes an action item according to score. Interventions, which began 1/1/22, included having patients complete the PHQ-9 via a PRO application before visit, interfacing of PRO application with EHR (MA adds score to treatment plan), educating MAs importance of mental health monitoring in health care setting, generating new workflow for MA to send EHR message to SW and notify MD if high score obtained, rapid cycle review of data with MDs, and building out of SW department to accept referrals. Our primary endpoint was % of PHQ-9s completed of those scheduled (every six months). Secondary endpoint was total number of patients internally referred for SW services since 4/1/22 (when psychotherapy services became available). Results: From 7/1/21-12/31/21 (before implementation), of 22,492 visits, 72% had a PHQ-9 reported (with no ongoing monitoring or intervention). From 1/1/22-5/31/22, 88% of 18,655 visits had a PHQ-9 reported. 1,114 patients had a score of 10 or greater on the PHQ-9 between 1/1/22-5/31/22, and of those patients, 100% were assessed for social work intervention. 724 patients were offered referral for mental health services externally; 390 patients have been recommended for internal SW referral (72 have registered for psychotherapy to begin 7/1/22). Conclusions: Our results illustrate the ability to achieve engagement of a SW program in a private practice setting over a limited time by using the PHQ-9 as a primary focus. Education of all staff involved in the process is paramount and will be emphasized when rolling out future components of the SW program: support groups, educational lecture series, and other concrete services.

Depression screening scores for teens with T1D need adjusting

Observing that some depression screening tools can miss cases of depression in teens with diabetes, authors of a new study suggest that adjusted cutoff scores could help better detect depressive disorders in adolescents with Type 1 diabetes.

Diagnosis and Treatment of Depression in Patients with Epilepsy

Depression has not been highlighted in the field of epilepsy research and treatment despite its harmful effects on patients’ daily living. Depression in patients with epilepsy is still underrecognized and undertreated by neurologists due to a lack of training about the psychiatric aspects of neurological disorders, lack of knowledge about the management of depression and the use of antidepressants, lack of time in the outpatient setting, misconceptions about seizure risk with psychotropic medications, and lack of communication with psychiatrists. Therefore, it is critical to acknowledge depression in patients with epilepsy through education and the application of screening tools and establish evidence-based medicine for its treatment. The Neurological Disorders Depression Inventory for Epilepsy is the most efficient and practical screening tool for depression and is also effective to detect suicidality in patients with epilepsy. The International League Against Epilepsy recently provided practical recommendations for the treatment of depression in patients with epilepsy. For mild depression, psychotherapy is the first-line treatment, and where medication is used, selective serotonin reuptake inhibitors (SSRIs) are first-choice medications. For moderate to severe depression, SSRIs remain the first-choice medications and psychotherapy can be combined with antidepressants. Antidepressant treatment should be maintained for at least 6 months following remission from a first depressive episode but it should be prolonged to 9 months in patients with a history of previous episodes and should continue even longer in cases of residual symptomatology until such symptoms have subsided and in those with severe depression. Key words: Epilepsy; Depression; Diagnosis; Antidepressive agents; Psychotherapy.

Validity of the patient health questionnaires (phq-2 and phq-9) for screening depression among human immunodeficiency virus patients in Lahore, Pakistan.

BACKGROUNDMany human immunodeficiency virus (HIV) infected patients suffer from depr-ession, but a little focus is given to detecting and treating depression in primary health care. Detection of depression can be improved by introducing short, reliable, and valid screening instruments.AIMTo determine the psychometric properties of the patient health questionnaire-2 (PHQ-2) and patient health questionnaire-9 (PHQ-9) for depression screening and diagnosis, and the sensitivity and specificity of the PHQ-2 in HIV infected patients.METHODSA cross-sectional study was conducted on 158 HIV-infected patients aged 18 years and above in Lahore, Pakistan. PHQ-2 was implemented to screen depression. PHQ-9 was implemented to diagnose major depressive disorder as a reference standard. Reliability, Validity tests and receiver operating characteristic curve were computed. RESULTSThe Cronbach's alpha of PHQ-2 and PHQ-9 were 0.732 and 0.759, respectively. The study results showed that the score of 2 on PHQ-2 indicates the highest Youden's index of 0.924, with both sensitivity and specificity of 0.96, and the area under the curve for PHQ-2 was 0.98 (95%CI: 0.953-0.998).CONCLUSIONGood psychometric properties for the PHQ-2 and PHQ-9 indicated their significant potential as tools for depression screening and diagnosis in the HIV-infected population.

Physicians’ Awareness of Depression Among Their Patients in Saudi Arabia

BackgroundDepression is a global public health burden, and although it is multifactorial, its development is highly associated with chronic diseases. Thus, physicians’ knowledge and attitude toward depression are vital for the recognition and treatment of depression among patients with chronic illnesses. This study aims to examine physicians’ knowledge and attitude toward depression in Saudi Arabia and to determine factors that significantly influence them.MethodologyAn online survey using a 12-item questionnaire was completed by 50 physicians between January and June 2020. Knowledge (K) and attitude (A) scores were calculated and compared nonparametrically based on scores by gender and years of experience.ResultsParticipants’ years of clinical experience was found to significantly influence the participants’ K scores, with those with fewer than one year of experience having the highest K scores of all participants (p < 0.05). Years of experience had a similar influence on the A scores. Furthermore, gender was an influencing factor as male participants had higher A scores than female participants. Years of experience and gender influenced the A scores independently. Male physicians more commonly referred patients to a mental health specialist than female physicians, and had significantly higher A scores and more years of experience. There was a direct correlation between the K and A score, indicating that participants’ knowledge of depression positively influenced their attitude toward depression.ConclusionsIn this study, participants’ gender and years of experience have been identified to have a significant impact on their knowledge and attitude toward comorbid depression when treating patients with chronic illnesses. This identifies an important gap and offers preliminary insight into the readiness and practice of holistic care for patients, particularly for those treated by physicians of differing gender and experience levels. Findings further demonstrate that it is most beneficial to patients with chronic illnesses that physicians utilize a holistic approach and consider depression when developing their treatment plans. This would involve being able to detect and manage depression among their patients properly, as well as referring patients to mental health specialists when needed. Clinical guidelines should be updated to emphasize the use of depression screening tools for patients with chronic diseases.

Depression prediction using machine learning: a review

Predicting depression can mitigate tragedies. Numerous works have been proposed so far using machine learning algorithms. This paper reviews publications from online electronic databases from 2016 to 2020 that use machine learning techniques to predict depression. The aim of this study is to identify important variables used in depression prediction, recent depression screening tools adopted, and the latest machine learning algorithms used. This understanding provides researchers with the fundamental components essential to predict depression. Fifteen articles were found relevant. We based our review on the systematic mapping study (SMS) method. Three research questions were answered through this review. We discovered that sixteen variables were deemed important by the literature. Not all of the reviewed literature utilizes depression screening tools in the prediction process. Nevertheless, from the five screening tools discovered, the most frequently used were hospital anxiety and depression scale (HADS) and hamilton depression rating scale (HDRS) for general population, while for literature targeting older population geriatric depression scale (GDS) was often employed. A total of twenty-two machine learning algorithms were identified employed to predict depression and random forest was found to be the most reliable algorithm across the publications.

Transparency and completeness of reporting of depression screening tool accuracy studies: A meta-research review of adherence to the Standards for Reporting of Diagnostic Accuracy Studies statement.

Accurate and complete study reporting allows evidence users to critically appraise studies, evaluate possible bias, and assess generalizability and applicability. We evaluated the extent to which recent studies on depression screening accuracy were reported consistent with Standards for Reporting of Diagnostic Accuracy Studies (STARD) statement requirements. MEDLINE was searched from January 1, 2018 through May 21, 2021 for depression screening accuracy studies. 106 studies were included. Of 34 STARD items or sub-items, the number of adequately reported items per study ranged from 7 to 18 (mean=11.5, standard deviation [SD]=2.5; median=11.5), and the number inadequately reported ranged from 3 to 17 (mean=10.1, SD=2.5; median=10.0). There were eight items adequately reported, seven partially reported, 11 inadequately reported, and four not applicable in ≥50% of studies; the remaining four items had mixed reporting. Items inadequately reported in ≥70% of studies related to the rationale for index test cut-offs examined, missing data management, analyses of variability in accuracy results, sample size determination, participant flow, study registration, and study protocol. Recently published depression screening accuracy studies are not optimally reported. Journals should endorse and implement STARD adherence.

Men's Depression, Externalizing, and DSM-5-TR: Primary Signs and Symptoms or Co-occurring Symptoms?

Men's Depression, Externalizing, and DSM-5-TR: Primary Signs and Symptoms or Co-occurring Symptoms?

Applying machine learning methods to psychosocial screening data to improve identification of prenatal depression: Implications for clinical practice and research.

We utilized machine learning (ML) methods on data from the PROMOTE, a novel psychosocial screening tool, to quantify risk for prenatal depression for individual patients and identify contributing factors that impart greater risk for depression. Random forest algorithms were used to predict likelihood for being at high risk for prenatal depression (Edinburgh Postnatal Depression Scale; EPDS ≥ 13 and/or positive self-injury item) using data from 1715 patients who completed the PROMOTE. Performance matrices were calculated to assess the ability of the PROMOTE to accurately classify patients. Probability for depression was calculated for individual patients. Finally, recursive feature elimination was used to evaluate the importance of each PROMOTE item in the classification of depression risk. PROMOTE data were successfully used to predict depression with acceptable performance matrices (accuracy = 0.80; sensitivity = 0.75; specificity = 0.81; positive predictive value = 0.79; negative predictive value = 0.97). Perceived stress, emotional problems, family support, age, major life events, partner support, unplanned pregnancy, current employment, lifetime abuse, and financial state were the most important PROMOTE items in the classification of depression risk. Results affirm the value of the PROMOTE as a psychosocial screening tool for prenatal depression and the benefit of using it in conjunction with ML methods. Using such methods can help detect underreported outcomes and identify what in patients' lives makes them more vulnerable, thus paving the way for effective individually tailored precision medicine.

Diagnostic Evaluation of Depression Screening Tools in Asian New Zealanders.

This study aimed to compare the Kessler Psychological Distress Scale (K10) and Short-Form 12-Item Health Survey Mental Component Score (SF-12 MCS) for the effectiveness as screening tools for depression in Asian New Zealanders. A national, representative New Zealand Health Survey (NZHS) data set was used. In total, 1,277 participants were included in the analyses. The sensitivity and specificity values, as well as the areas under the receiver operating characteristics curves (AUROC), for the K10 and the SF-12 MCS scores were examined. The AUROCs for K10 and SF-12 MCS were 0.787 (95% CI [0.736, 0.837]) and 0.725 (95% CI [0.656, 0.793]), respectively. A less than optimal sensitivity and positive predictive value of K10 support the need to reexamine the optimal cut-off point according to the results of the Youden index. Strengthening the K10 predictive accuracy will increase the practical application among Asian populations.

Correlates of patient-reported cognitive performance with regard to disability

The patient-reported form of the Multiple Sclerosis Neuropsychological Questionnaire (MSNQ) assesses perceived problems attributable to cognitive and neuropsychiatric symptoms. It is inconsistently related to objective cognitive performance in multiple sclerosis (MS), while strongly correlated with depression. We assessed whether the relationship between subjective and objective cognitive screening tools is moderated by disability. Furthermore, we investigated the MSNQ as a screening tool for both cognitive impairment and depression. 275 MS patients completed the patient-reported MSNQ, two‐question screening tool for depression and Symbol Digit Modalities Test (SDMT) and were divided into Expanded Disability Status Scale (EDSS) subgroups: Low 0.0–3.0, Medium 3.5–6.0, High 6.5–9.0. MSNQ scores correlated significantly with depression but not SDMT in all subgroups. After correcting for age, sex, education, EDSS and depression, MSNQ significantly predicted SDMT in the total group, but not the subgroups. MSNQ significantly predicted a positive depression and/or cognitive impairment screen in the total group and all subgroups. The relationship between subjective and objective cognitive screening tools is not influenced by physical disability. MSNQ scores are substantially influenced by depression, and reflect cognitive function to some degree. Patient-reported cognitive measures can be useful to identify patients requiring further (neuro)psychological assessment.

Factor Structures of Patient Health Questionnaire-9 Instruments in Exploring Depressive Symptoms of Suburban Population.

BackgroundThis study aims to examine the psychometric properties of the nine-item Patient Health Questionnaire (PHQ-9) and assess the relationship between the PHQ-9 domain and demographics and health behaviors in Vietnamese people.Materials and MethodsThe PHQ9 was administered to 899 participants. Exploratory factor and reliability analyses were performed. Tobit regression and Ordered logistic regression were further performed to determine factors associated with the PHQ-9 score and characteristics of depression.ResultsThe 2-factor model of PHQ-9, including factor 1 “Somatic” and factor 2 “Cognitive/Affective,” showed good psychometric properties. The Cronbach’s alpha value showed high internal consistency in two factors (0.84 and 0.80, respectively). Gender, health behavior exercising, drinking, and health status had associations with both factors of the PHQ-9 model.ConclusionThe PHQ-9 scale is a valid and reliable instrument to assess depression in the Vietnam population. This scale can be a useful screening tool for depression; however, further validation studies in other populations are required.

Validity of the Chinese Language Patient Health Questionnaire 2 and 9: A Systematic Review.

Introduction:Chinese Americans with limited English proficiency have higher mental health needs than English speakers but are more likely to be undiagnosed and undertreated for depression. Increasing anti-Asian hate crimes during the COVID-19 pandemic has increased the urgency to accurately detect depressive symptoms in this community. This systematic review examines the validity of the Patient Health Questionnaire (PHQ)-2/9 for depression screening in Chinese-speaking populations.Methods:We queried PubMed, Web of Science, Embase, and PsycINFO databases, examining studies through September 2021. Studies were included if they evaluated the Chinese language PHQ-2 or PHQ-9 and diagnosed depression using a clinical interview. Two investigators independently extracted study data and assessed quality using the QUADAS-2. Study sensitivities and specificities were combined in random effects meta-analyses.Results:Of 513 articles, 20 met inclusion criteria. All examined the PHQ-9; seven also examined the PHQ-2. Studies were conducted in Mainland China (17), Hong Kong (1), Taiwan (1), and the United States (1). Fourteen studies were published in English; six in Chinese. Studies were diverse in setting, participant age, and comorbidities. For the Chinese language PHQ-9, Cronbach's alpha ranged from 0.765 to 0.938 for included studies (optimal cutoff scores ranged from 6 to 11). For the PHQ-2, Cronbach's alpha ranged from 0.727 to 0.785 (optimal cutoff scores 1–3). Overall, the PHQ-9 pooled sensitivity was 0.88 (95% CI 0.86–0.90), and pooled specificity was 0.87 (95% CI 0.83–0.91). Similarly, the pooled PHQ-2 sensitivity was 0.84 (95% CI 0.80–0.87), and pooled specificity was 0.87 (95% CI 0.78–0.93). The overall risk of bias was low (12 studies) or indeterminate (8 studies).Discussion:While limited by missing study information, the Chinese language PHQ-9 appears to be a valid depression screening tool among Chinese-speaking populations across geographic and clinical settings. Further research should explore optimal cutoff scores for this population for routine depression screening and the validity of the tool to measure response to depression treatment.

Relationship between Edinburg Postnatal Depression Scale (EPDS) Scores in the Early Postpartum Period and Related Stress Coping Characteristics.

Despite postpartum depression being a common mental health problem, there is no screening method for it. The only risk assessment used is the Edinburgh Postnatal Depression Scale (EPDS). We investigated the relationship between Brief Scale for Coping Profile (BSCP) subscales performed during pregnancy and EPDS scores. We recruited 353 women with normal pregnancies (160 primiparas, and 193 multiparas) and performed BSCP at 26 weeks of gestation. The EPDS was first performed within one week after delivery (T1), and then after one month (T2). Spearman’s correlation coefficients were calculated for the BSCP and EPDS for the whole and primi/multipara groups. Multiple regression analysis was performed with the EPDS T2 scores as the dependent variable. The EPDS scores were higher in the primipara group compared to the multipara (p < 0.001), and the EPDS T1 scores were higher than the overall T2 score (p < 0.001). In the multiple regression analysis, EPDS T1 and the “seeking help for solution” subscale were selected as significant explanatory variables when analyzed in the whole group; EPDS T1 and “active solution” for the primiparas; and EPDS T1, “changing mood”, and “seeking help for solution” for the multiparas. The BSCP can be used as a screening tool for postpartum depression during pregnancy.

A Validated Postnatal Depression Screening Tool and Guideline to Improve Evidence-Based Screening for Postpartum Depression in Ambulatory Care

Postpartum depression is one of the most common diagnoses for maternal morbidity and mortality, affecting one in eight women in the United States. Initially, there was no universal process for the identification of postpartum depression in ambulatory clinics in a regional health system caring for obstetric patients, which puts patients and their newborns at risk for severe and potentially detrimental consequences. A quality improvement project was developed and implemented with a pilot group in the ambulatory setting.

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%.

EEG correlates of quality of life and associations with seizure without awareness and depression in patients with epilepsy.

AimsQuality of life (QOL) is an important issue for not only patients with epilepsy but also physicians. Depression has a large impact on QOL. Nonlinear electroencephalogram (EEG) analysis using machine learning (ML) has the potential to improve the accuracy of the diagnosis of epilepsy. Therefore, in this study, we examined EEG nonlinearity, EEG correlates of QOL in patients with epilepsy, and the accuracy of EEG for the interval from seizure without awareness (SA–) and for depression, using ML.MethodsThe Side Effects and Life Satisfaction (SEALS) inventory was used to assess QOL, and the Neurological Disorders Depression Inventory for Epilepsy (NDDI‐E) was used as a screening tool for depression on the date of the EEG recording. EEG with wavelet denoising (WD), the Savitzky–Golay filter, and non‐denoising were created in combination with low‐ and high‐pass filters. These EEG sets were adopted for phase space reconstruction methods. Using a generalized linear mixed‐effects model for SEALS, sample entropy as a measurement of regularity, SA–, seizure with awareness, and depression were examined.ResultsWD and non‐denoising EEG sets in the bilateral posterior temporal‐occipital, centro‐parietal, parieto‐occipital, and Fz–Cz of the 10–20 method were associated with SEALS and demonstrated nonlinearity, and the moderate effects of classification for the interval elapsed from SA– and for depression. When the intervals from SA– were added, the effects of the EEG classification for depression increased.ConclusionThese findings suggest that EEG regions associated with QOL showing nonlinearity are useful for classifying SA– and depression.

Association between labor and delivery pain and postpartum pain with symptoms and clinical diagnosis of postpartum depression in patients with overweight and obesity

PurposeChildbirth pain has been associated with the risk for postpartum depression. However, existing studies have been limited by the use of depression screening tools as outcomes, and none to date have used a structured clinical interview for DSM-V (SCID), which is considered the gold standard for psychiatric diagnoses. This study aimed to quantify the relationships between labor and postpartum pain and postpartum depression diagnosis detected by SCID, as well as depression symptoms detected by the Center for Epidemiological Studies Depression Scale (CESD) screening tool, among a high-risk cohort.MethodsThe study was a secondary analysis of a prospective observational study of a cohort of women enriched for high risk for depression, i.e., pregnant women originally enrolled in a prospective study investigating factors leading to excessive gestational weight gain. Subjects were assessed prospectively for depression using both SCID and CESD at the third trimester and at 6 months postpartum. Overweight and obesity were defined as pre-gravid body mass index (BMI) ≥ 25 kg/m2. Both vaginal and cesarean deliveries were included in the cohort. Pain scores (0–10 numeric rating scale) during childbirth and after delivery were correlated with CESD and SCID. Propensity score matching was performed with propensity groups defined as those with low–moderate postpartum pain and those with high postpartum pain. The relationships between pain measures and 6-month postpartum depression diagnosis by SCID, and between pain measures and 6-month postpartum depression symptoms by CESD, were assessed by unweighted logistic regression and by logistic regression weighted by propensity score derived by average treatment effect (ATE) adjusted for baseline covariates.ResultsThere were 237 subjects in the cohort for analysis. Labor and postpartum pain were not associated with depression diagnosis by SCID at 6 months postpartum. However, postpartum pain, but not labor pain, was associated with depressive symptoms on the CESD at 6 months postpartum. Women with higher maximum postpartum pain scores had significantly higher odds of developing clinically significant postpartum depressive symptoms at 6 months, compared to those with lower pain scores in the unweighted model (OR: 1.3, 95% CI 1.0, 1.5; P = 0.005) and ATE-weighted models (OR: 1.2, 95% CI 1.0, 1.5; P = 0.03). Consistent with prior work, SCID and CESD were strongly associated, and 92.9% (13/14) of participants with postpartum depression diagnosis by 6-month SCID also showed high CESD symptomology, P < 0.0001).ConclusionsAlthough labor and postpartum pain were not associated with clinical diagnosis of depression (SCID) at 6 months postpartum, postpartum pain was linked to 6-month postpartum depression symptoms. Depressive symptoms are more likely to be exhibited in women with higher postpartum pain, potentially reflecting poorer birth recovery. The contribution of postpartum pain and depressive symptoms to overall patterns of poor recovery after childbirth should be assessed further.

The Application of Human Figure Drawing as a Supplementary Tool for Depression Screening.

ObjectiveDepression is one of the most prevalent mental disorder in college students. The traditional screening method for is psychological measurements or scales, but social desirability can cause students to mask their thoughts, and an auxiliary projective test may be needed. This study was designed to measure the validity of applying human figure drawing (HFD) test as an auxiliary tool for depression screening in this population.MethodsThe HFD test was administered to 113 clinical participants diagnosed with major depressive disorder and 97 healthy college students with self-rating depression scale scores <50. Correlation analysis, chi-square tests, and logistic regression were conducted to identify specific drawing features that associated with depression and could differentiate between the clinical and control subjects. ROC curve was also implemented to evaluate the diagnostic accuracy.ResultsEleven drawing features were significantly related to depression based on the chi-square test results and seven drawing features were associated with depression based on correlation analysis. After logistic regression by controlling gender and age, three drawing features were associated with depression: shaded eyes, drawing clothes in detail, and drawing other personal belongings. Further, drawing clothes in detail and drawing other personal belongings were two significant variables in ROC curve analysis.ConclusionLogistic regression showed that shaded eyes, drawing clothes in detail and drawing other personal belongings were significant drawing features. Individuals with depression will have less energy to put extra effort into drawing and are less likely to have detailed drawings. And the shading of eyes may represent that depressive individuals have a low willingness to communicate and tend to isolate themselves. The results indicated that Human Figure Drawing could be used as an auxiliary tool in college students’ depression screening. Further, the ROC curve analysis showed low discrimination of single drawing features, suggesting that the application of Human Figure Drawing should be considered as a whole instead of focusing on the single drawing feature.

Longitudinal screening for depression and anxiety in prostate cancer (PC) and association with disease and treatment factors.

5023 Background: Untreated depression and anxiety are associated with worse outcomes in patients with cancer. Despite recommendations for longitudinal screening, many patients are only assessed at the start of care. Men with PC often experience many phases of disease or treatment over a span of years, and androgen deprivation therapy (ADT) is associated with mood changes and depression. How depressive or anxiety symptoms fluctuate in men with PC, influenced by disease and treatment factors, is not well-described. Methods: Men with ≥1 Urology or Medical Oncology clinic visit for PC in the prior 6 months were emailed the PHQ-9 and GAD-7 depression and anxiety screening tools every 60 days; a score of ≥10 (moderate to severe symptoms) on either was considered a positive screen. Baseline characteristics and disease/treatment changes (PSA, radiographic, or biopsy progression, treatment change or start, or discontinuation of treatment due to lack of efficacy or toxicity) were collected by survey and chart review. We report early findings of factors associated with a positive screen or change in screening status with χ2 and forward stepwise binary logistic regression (model inputs: receipt of ADT or disease/treatment change during study, and variables previously associated with depression or anxiety: age, race, marital status, education, income, history of psychiatric disorder, use of psychoactive medication, time since diagnosis, and localized, biochemically recurrent, or metastatic disease). Results: From 6/2021-12/2021, 201 men enrolled. At baseline, 50.7% had localized, 18.9% biochemically recurrent, and 30.3% metastatic disease; 40.8% were on ADT; 30.8% had a history of psychiatric disorder (22.9% depression, 19.9% anxiety, 9.0% other); and 24.9% were on psychoactive medication (19.9% antidepressant, 8.5% anxiolytic, 2.0% antipsychotic). 184 men completed at least 2 screens with mean follow-up 6.5 months (SD 1.3). 32 men (15.9%) screened positive at least once (15.4% PHQ-9, 4.5% GAD-7), of which half (N = 16) initially screened negative and later positive. Changing from a negative to positive screen was more likely when a disease/treatment change occurred during the study (18.3% vs 4.5%, p = 0.003). A higher proportion of men on ADT screened positive, especially if newly started during the study or in the 60 days preceding (35.7% new ADT vs 24.7% continuing ADT vs 8.0% no ADT, p = 0.002). In fully adjusted multivariable analyses, factors associated with a positive screen were history of psychiatric disorder (OR 6.3, 95% CI 2.6-15.4, p &lt; 0.001), receipt of ADT (OR 3.8, 95% CI 1.5-9.5, p = 0.005), and lower income bracket (OR 1.7, 95% CI 1.3-2.5, p = 0.002). Conclusions: Longitudinal screening for depression and anxiety in PC identifies men who initially screen negative. Symptoms are associated with ADT and disease or treatment changes, which may inform optimal screening practices.