Patient Health Questionnaire Depression Research Articles

Clinical effectiveness of patient-targeted feedback following depression screening in general practice (GET.FEEDBACK.GP): an investigator-initiated, prospective, multicentre, three-arm, observer-blinded, randomised controlled trial in Germany

Screening for depression in primary care alone is not sufficient to improve clinical outcomes. However, targeted feedback of the screening results to patients might result in beneficial effects. The GET.FEEDBACK.GP trial investigated whether targeted feedback of the depression screening result to patients, in addition to feedback to general practitioners (GPs), leads to greater reductions in depression severity than GP feedback alone or no feedback. The GET.FEEDBACK.GP trial was an investigator-initiated, multicentre, three-arm, observer-blinded, randomised controlled trial. Depression screening was conducted electronically using the Patient Health Questionnaire-9 (PHQ-9) in 64 GP practices across five regions in Germany while patients were waiting to see their GP. Currently undiagnosed patients (aged ≥18 years) who screened positive for depression (PHQ-9 score ≥10), were proficient in the German language, and had a personal consultation with a GP were randomly assigned (1:1:1) into a group that received no feedback on their depression screening result, a group in which only the GP received feedback, or a group in which both GP and patient received feedback. Randomisation was stratified by treating GP and PHQ-9 depression severity. Trial staff were masked to patient enrolment and study group allocation and GPs were masked to the feedback recieved by the patient. Written feedback, including the screening result and information on depression, was provided to the relevant groups before the consultation. The primary outcome was PHQ-9-measured depression severity at 6 months after randomisation. An intention-to-treat analysis was conducted for patients who had at least one follow-up visit. This study is registered at ClinicalTrials.gov (NCT03988985) and is complete. Between July 17, 2019, and Jan 31, 2022, 25 279 patients were approached for eligibility screening, 17 150 were excluded, and 8129 patients completed screening, of whom 1030 (12·7%) screened positive for depression. 344 patients were randomly assigned to receive no feedback, 344 were assigned to receive GP-targeted feedback, and 339 were assigned to receive GP-targeted plus patient-targeted feedback. 252 (73%) patients in the no feedback group, 252 (73%) in the GP-targeted feedback group, and 256 (76%) in the GP-targeted and patient-targeted feedback group were included in the analysis of the primary outcome at 6 months, which reflected a follow-up rate of 74%. Gender was reported as female by 637 (62·1%) of 1025 participants, male by 384 (37·5%), and diverse by four (0·4%). 169 (16%) of 1026 patients with available migration data had a migration background. Mean age was 39·5 years (SD 15·2). PHQ-9 scores improved for each group between baseline and 6 months by -4·15 (95% CI -4·99 to -3·30) in the no feedback group, -4·19 (-5·04 to -3·33) in the GP feedback group, and -4·91 (-5·76 to -4·07) in the GP plus patient feedback group, with no significant difference between the three groups (global p=0·13). The difference in PHQ-9 scores when comparing the GP plus patient feedback group with the no feedback group was -0·77 (-1·60 to 0·07, d=-0·16) and when comparing with the GP-only feedback group was -0·73 (-1·56 to 0·11, d=-0·15). No increase in suicidality was observed as an adverse event in either group. Providing targeted feedback to patients and GPs after depression screening does not significantly reduce depression severity compared with GP feedback alone or no feedback. Further research is required to investigate the potential specific effectiveness of depression screening with systematic feedback for selected subgroups. German Innovation Fund. For the German translation of the abstract see Supplementary Materials section.

A randomized controlled trial of a digital cognitive-behavioral therapy program (COMPASS) for managing depression and anxiety related to living with a long-term physical health condition.

To evaluate the clinical efficacy of COMPASS, a therapist-supported digital therapeutic for reducing psychological distress (anxiety/depression) in people living with long-term physical health conditions (LTCs). A two-armed randomized-controlled trial recruiting from LTC charities. Participants with anxiety and/or depression symptoms related to their LTC(s) were randomized (concealed allocation via independent administrator) to COMPASS (access to 11 tailored modules plus five thirty-minute therapist support sessions) or standard charity support (SCS). Assessments were completed online pre-randomization, at 6- and 12-weeks post-randomization. Primary outcome was Patient Health Questionnaire Anxiety and Depression Scale; PHQ-ADS measured at 12-weeks. Analysis used intention-to-treat principles with adjusted mean differences estimated using linear mixed-effects models. Data-analyst was blinded to group allocation. 194 participants were randomized to COMPASS (N = 94) or SCS (N = 100). At 12-weeks, mean level of psychological distress was 6.82 (95% confidence interval; CI 4.55-9.10) points lower (p < 0.001) in the COMPASS arm compared with SCS (standardized mean difference of 0.71 (95% CI 0.48-0.95)). The COMPASS arm also showed moderate significant treatment effects on secondary outcomes including depression, anxiety and illness-related distress and small significant effects on functioning and quality-of-life. Rates of adverse events were comparable across the arms. Deterioration in distress at 12-weeks was observed in 2.2% of the SCS arm, and no participants in the COMPASS arm. Compared with SCS, COMPASS digital therapeutic with minimal therapist input reduces psychological distress at post-treatment (12-weeks). COMPASS offers a potentially scalable implementation model for health services but its translation to these contexts needs further evaluating. NCT04535778.

Mental distress, food insecurity and university student dropout during the COVID-19 pandemic in 2020: evidence from South Africa.

Student dropout has been a key issue facing universities for many years. The COVID-19 pandemic was expected to exacerbate these trends; however, international literature has produced conflicting findings. Limited literature from Africa has investigated the impact of COVID-19 on student dropout trends, despite the documented devastation, including increased risk of food insecurity and mental distress, caused by the pandemic. This work seeks to understand the impact of food insecurity and mental distress on student dropout during the COVID-19 pandemic. Using a cross-sectional research design, first-year undergraduate students from a large South African university were recruited via email to participate in a survey between September and October 2020. The Household Food Insecurity Access Scale (HFIAS) was used to measure food insecurity and the Patient Health Questionnaire Anxiety and Depression Scale (PHQ-ADS) was used to measure mental distress. Multivariate regression was used to investigate factors associated with student dropout. The student dropout rate was 10.5% (95% CI: 8.2-13.2). The prevalence of severe food insecurity was 25.7% (95% CI: 22.3-29.4) and the prevalence of severe mental distress symptoms was 26.7% (95% CI: 23.3-30.4). Dropout rates and levels of food insecurity were highest among students residing in remote areas during the lockdown at 19.2% and 43.6%, respectively. The multivariate logistic regression revealed that being male increased the probability of dropout almost three-fold (odds ratio (OR) = 2.70; 95% CI: 1.48-4.89, p =0.001)). Being moderately food insecure increased the odds of dropout more than two-fold (OR=2.50; 95% CI:1.12-5.55, p=0.025), and experiencing severe mental distress symptoms increased the odds of dropout seven-fold (OR=7.08; 95% CI:2.67-18.81, p<0.001). While acknowledging that various factors and complexities contribute to student dropout, the increased vulnerability to food insecurity and mental distress, stemming from issues such as widespread job losses and isolation experienced during the pandemic, may have also had an impact on dropout. This work reiterates the importance of directing additional support to students who are food insecure and those who are experiencing mental distress in order to mitigate university student dropout.

Depression and anxiety among patients with epilepsy: A cross-sectional study from Riyadh, Saudi Arabia.

It is well established that epileptic disorders are associated with a wide range of psychosocial issues that overburden the affected individuals and limit their lifestyle. This study aimed to determine the commonalities between depression and anxiety symptoms among patients with epilepsy (PWE). In addition, we assessed whether depression and anxiety rates varied depending on factors related to the disease. A cross-sectional study was conducted between October 2021 and March 2022 among all PWE at Prince Mohammed bin Abdulaziz Hospital, and 147 patients who responded to the questionnaires were included for analysis (65.6% response rate). Depression was measured using the Patient Health Questionnaire depression scale (PHQ-9), while anxiety levels were measured using the Generalized Anxiety Disorder scale (GAD-7). Demographic variables such as sex, age, marital status, and factors related to epilepsy were also recorded. The results showed that 39.5% and 27.9% of participants had major depressive disorder (MDD) and generalized anxiety disorder (GAD), respectively. The presence of factors that increased susceptibility to seizures was associated with a greater expression of depression (P = 0.035) and anxiety (P = 0.002) symptoms. The presence of symptoms/signs that precede seizures was associated with a higher risk of moderate and severe depression (P = 0.001) and moderate and severe anxiety (P < 0.001). Irregular use of medications was associated with a higher risk of moderate and severe depression (P = 0.037); however, lamotrigine was associated with lower rates of depression among the participants (P = 0.023). This study found that PWE had a higher prevalence of MDD and GAD than the general population. However, this accepted paradigm has yet to reflect a meaningful change in constructing condition-specific recommendations for PWE. Our study revealed that the presence of subjectively recognized signs of an impending ictal episode was significantly associated with a higher risk of moderate and severe depression and anxiety. Furthermore, factors that increase the susceptibility to seizures were associated with a higher risk of depression and anxiety. Irregular medication use was associated with a higher risk of moderate and severe depression. However, lamotrigine was associated with lower rates of depression among participants.

The Interplay of Anxiety, Depression, Sleep Quality, and Socioeconomic Factors in Somali Hemodialysis Patients.

This study aimed to assess anxiety, depression, and sleep quality in kidney failure patients receiving hemodialysis (HD) in Somalia and examine the relationship between anxiety, depression, and sleep quality. We conducted a study with 200 kidney failure patients on HD treatment for over 3 months. Participants completed sociodemographic questionnaires, the Patient Health Questionnaire-9 (PHQ-9), the Hospital Anxiety and Depression Scale (HADS), the Insomnia Severity Index (ISI), and the Pittsburgh Sleep Quality Index (PSQI). Among the 200 participants (mean age = 52.3; SD = 14.13), 58.5% were men, 64% had CKD for 1-5 years, and 52.6% received HD for 1-5 years. Depressive symptoms were found in 61.5% (PHQ-9) and 37.5% (HADS depression subscale) of HD patients. Poor sleep quality (PSQI) was observed in 31.5% and significantly correlated with PHQ-9 (rs = 0.633), HADS anxiety (rs = 0.491), and HADS depression (rs = 0.529). The ISI score correlated significantly with PHQ-9 (rs = 0.611), HADS anxiety (rs = 0.494), and HADS depression (rs = 0.586). All PSQI components correlated with depression and anxiety, except sleep medication use. Hierarchical regression analysis revealed that HADS anxiety (β = 0.342) and HADS depression (β = 0.372) predicted ISI scores. HADS anxiety (β = 0.307) and HADS depression (β = 0.419) predicted PSQI scores. Higher anxiety and depression levels negatively correlated with various dimensions of sleep quality in kidney failure patients. Early identification and appropriate management of these psychological disturbances are crucial for enhancing patients' overall quality of life.

Bidirectional associations between alcohol drinking and depressive symptom scores among US older adults

BackgroundThis study examines the bidirectional associations between alcohol drinking and depression in which low to moderate alcohol drinking may reduce the risk of depression, while the occurrence of depression may increase the amount of alcohol drinking as a coping strategy. MethodData for the community-dwelling older adults from the Medicare Current Beneficiary Survey (MCBS) 2016 to 2019 were analyzed using random intercept cross-lagged panel models to explore the within-individual causal associations for males and females separately. Socioeconomic status (SES), smoking and comorbidities were adjusted in the models. ResultsAmong 3388 older adults with three measures for the number of alcohol drinks and Patient Health Questionnaire (PHQ) depression scores, a prior increase in the number of drinks was related to a moderate non-significant decrease in PHQ scores in the follow-up, but a previous increase in the PHQ scores was significantly associated with a decrease in the number of drinks at the follow-up visit in the adjusted models (regression coefficient = −0.144, p = 0.017 for males; and coefficient = −0.11, p < 0.001 for females). ConclusionPrior depression may lead to reduced drinking in the follow up visits, but no bidirectional association was found among US older adults.

Factores relacionados con la no adherencia a la rehabilitación cardiaca en pacientes con insuficiencia cardiaca

IntroductionIn heart failure, cardiac rehabilitation has been recommended as an intervention strategy that improves functional capacity, health-related quality of life and survival. However, adherence to these programs is low. The objective was to determine the factors related to non-adherence to cardiac rehabilitation in patients with heart failure in Colombia. MethodObservational and retrospective study. Patients with heart failure were linked in a clinic in Colombia, adherence to cardiac rehabilitation was measured with ≥80% of scheduled sessions. Sociodemographic and clinical variables, functional aerobic capacity (Sit to Stand and 6-minute walk test), Duke Activity Status Index (DASI), quality of life Minnesota Living with Heart Failure Questionnaire (MLFHQ) and depression Patient health questionnaire 9 (PHQ-9) were taken into account. Results300 patients were linked with heart failure with age 63.16±12.87; men 194 (64.7%). Adherence to cardiac rehabilitation was 66.67%, there were statistically significant differences between the groups in arterial hypertension, LVEF, cholesterol, LDL, triglycerides, SBP, DBP, distance traveled, VO2e, METs, DASI and PHQ-9 P≤.05. The logistic regression model adjusted for sex and age showed OR for non-adherence to CR arterial hypertension 2.23 [1.22-4.07], LDL outside of goals 2.15 [1.20-3.88], triglycerides outside goals 2.34 [1.35-4.07], DASI<4METs 2.38 [1.04-5.45] and PHQ-9 1.06 [1.00-1.12]. ConclusionHigh blood pressure, LDL, triglycerides, DASI and depression with the PHQ-9 questionnaire are related factors for not having adherence to cardiac rehabilitation in patients with heart failure.

Pharmacotherapy guideline concordance for major depressive disorder and its link to functioning via symptom change

Abstract Introduction: Alleviation of symptom severity for major depressive disorder (MDD) is known to be associated with a lagged improvement of functioning. Pharmacotherapy guidelines support algorithms for MDD treatment. However, it is currently unclear whether concordance with guidelines influences functional recovery. A guideline concordance algorithm (GCA-8) was used to measure this pathway in a naturalistic clinical setting. Methods: Data from 1403 adults (67% female, 84% non-Hispanic/Latino White, mean age of 43 years) with nonpsychotic MDD from the Penn State Psychiatry Clinical Assessment and Rating Evaluation System registry (visits from 02/01/2015 to 04/13/2021) were evaluated. Multivariable linear regression measured associations between GCA-8 and World Health Organization Disability Assessment Schedule 2.0 (WHODAS) scores. Mediation by MDD symptom severity using the Patient Health Questionnaire depression module (PHQ-9) was also evaluated. Results: This study found a statistically significant improvement in WHODAS scores (functioning) between baseline and final measures (−2 points, P &lt; .001) within one year. A one standard deviation increase in the GCA-8 score was associated with a 0.48-point reduction in mean disability score (total effect; P = .02) with significant mediation by the change in MDD symptom severity (coefficient = −0.51, P &lt; .001) and a nonsignificant natural direct effect of the GCA-8 independent of PHQ-9 change (coefficient = −0.02, P = .92). Conclusions: Higher pharmacotherapy guideline concordance is associated with better functioning for MDD patients; this association likely occurs through improvement in MDD symptom severity rather than directly.

Combined effects of physical activity and life events on depression and PTSD in Chinese students aged 16-24 years.

Life events are important risk factors for depression and post-traumatic stress disorder (PTSD). Physical activity is a beneficial behavior to physiological and psychological health. While it has not been reported at present the combined effect of physical activity and life events on individual depression and PTSD, and whether it can alleviate the psychological risks induced by life events. To comprehensively investigate the current status of life events experiences in Chinese students aged 16-24 years and analyze the combined effects of physical activity and life events on their depression and PTSD. An online cross-sectional survey was conducted on physical activity levels, life events experiences, depression and PTSD of 1,552 Chinese students aged 16-24 using short version of International Physical Activity Questionnaire (IPAQ-S), adolescent self-rating life events checklist (ASLEC), PTSD Check List-Civilian Version (PCL-C) and Patient Health Questionnaire Depression Scale. Then, logistic regression equation and stratified analysis were used to explore the combined effects of physical activity and life events on depression and PTSD. Regression analysis showed that, except for female, <8 h of sleep, smoking, single parent/reorganized families and poor family economic status, experiencing medium-intensity and high-intensity life events were both risk factors for depression. Compared with those who experienced low-intensity life events, those who experienced medium- and high-intensity life events had a 27 and 131% increased risk of depression, respectively. In contrast, medium- and high-level physical activity could reduce the risk of depression by 49 and 53%, respectively. Similar results were obtained with PTSD as a dependent variable. Combined correlation analysis showed that, compared with those with high-level physical activity and low-intensity life events, those with low-level physical activity and high-intensity life events had a 209 and 121% increased risk of depression and PTSD, respectively. Stratified analysis showed that the threshold for life events induced depression and PTSD rose with the increase in the level of physical activity. Lack of physical activity and experience of high-intensity life events are independent risk factors for depression and PTSD, and strengthening physical activity can compensate for the harm of depression and PTSD caused by life events to some extent.

Factors related to non-adherence to cardiac rehabilitation in patients with heart failure

IntroductionIn heart failure, cardiac rehabilitation has been recommended as an intervention strategy that improves functional capacity, health-related quality of life and survival. However, adherence to these programs is low. The objective was to determine the factors related to non-adherence to cardiac rehabilitation in patients with heart failure in Colombia. MethodObservational and retrospective study. Patients with heart failure were linked in a clinic in Colombia, adherence to cardiac rehabilitation was measured with ≥80% of scheduled sessions. Sociodemographic and clinical variables, functional aerobic capacity (Sit to Stand and 6-minute walk test), Duke Activity Status Index (DASI), quality of life Minnesota Living with Heart Failure Questionnaire (MLFHQ) and depression Patient health questionnaire 9 (PHQ-9) were taken into account. Results300 patients were linked with heart failure with age 63.16 ± 12.87 men 194 (64.7%). adherence to cardiac rehabilitation was 66.67%, there were statistically significant differences between the groups in arterial hypertension, LVEF, cholesterol, LDL, Triglycerides, SBP, DBP, distance traveled, VO2e, METs, DASI and PHQ-9 p-value =<0.05. The logistic regression model adjusted for sex and age showed OR for non-adherence to CR arterial hypertension 2.23[1.22–4.07], LDL outside of goals 2.15[1.20–3.88], triglycerides outside goals 2.34[1.35–4.07], DASI<4METs 2.38 [1.04–5.45] and PHQ-9 1.06[1.00–1.12]. ConclusionHigh blood pressure, LDL, triglycerides, DASI and depression with the PHQ-9 questionnaire are related factors for not having adherence to cardiac rehabilitation in patients with heart failure.

Predicting risk of suicidal behavior from insurance claims data vs. linked data from insurance claims and electronic health records.

Observational studies assessing effects of medical products on suicidal behavior often rely on health record data to account for pre-existing risk. We assess whether high-dimensional models predicting suicide risk using data derived from insurance claims and electronic health records (EHRs) are superior to models using data from insurance claims alone. Data were from seven large health systems identified outpatient mental health visits by patients aged 11 or older between 1/1/2009 and 9/30/2017. Data for the 5 years prior to each visit identified potential predictors of suicidal behavior typically available from insurance claims (e.g., mental health diagnoses, procedure codes, medication dispensings) and additional potential predictors available from EHRs (self-reported race and ethnicity, responses to Patient Health Questionnaire or PHQ-9 depression questionnaires). Nonfatal self-harm events following each visit were identified from insurance claims data and fatal self-harm events were identified by linkage to state mortality records. Random forest models predicting nonfatal or fatal self-harm over 90 days following each visit were developed in a 70% random sample of visits and validated in a held-out sample of 30%. Performance of models using linked claims and EHR data was compared to models using claims data only. Among 15 845 047 encounters by 1 574 612 patients, 99 098 (0.6%) were followed by a self-harm event within 90 days. Overall classification performance did not differ between the best-fitting model using all data (area under the receiver operating curve or AUC = 0.846, 95% CI 0.839-0.854) and the best-fitting model limited to data available from insurance claims (AUC = 0.846, 95% CI 0.838-0.853). Competing models showed similar classification performance across a range of cut-points and similar calibration performance across a range of risk strata. Results were similar when the sample was limited to health systems and time periods where PHQ-9 depression questionnaires were recorded more frequently. Investigators using health record data to account for pre-existing risk in observational studies of suicidal behavior need not limit that research to databases including linked EHR data.

Predicting treatment response using machine learning: A registered report.

Previous research on psychotherapy treatment response has mainly focused on outpatients or clinical trial data which may have low ecological validity regarding naturalistic inpatient samples. To reduce treatment failures by proactively screening for patients at risk of low treatment response, gain more knowledge about risk factors and to evaluate treatments, accurate insights about predictors of treatment response in naturalistic inpatient samples are needed. We compared the performance of different machine learning algorithms in predicting treatment response, operationalized as a substantial reduction in symptom severity as expressed in the Patient Health Questionnaire Anxiety and Depression Scale. To achieve this goal, we used different sets of variables-(a) demographics, (b) physical indicators, (c) psychological indicators and (d) treatment-related variables-in a naturalistic inpatient sample (N = 723) to specify their joint and unique contribution to treatment success. There was a strong link between symptom severity at baseline and post-treatment (R2 = .32). When using all available variables, both machine learning algorithms outperformed the linear regressions and led to an increment in predictive performance of R2 = .12. Treatment-related variables were the most predictive, followed psychological indicators. Physical indicators and demographics were negligible. Treatment response in naturalistic inpatient settings can be predicted to a considerable degree by using baseline indicators. Regularization via machine learning algorithms leads to higher predictive performances as opposed to including nonlinear and interaction effects. Heterogenous aspects of mental health have incremental predictive value and should be considered as prognostic markers when modelling treatment processes.

Exploring symptom-level associations between anxiety and depression across developmental stages of adolescence: a network analysis approach

BackgroundAnxiety and depression often co-occur during adolescence, but the associations between symptoms of these two disorders in this developmental period are not yet fully understood. Network analysis provides a valuable approach to uncover meaningful associations among symptoms and offers insights for prevention and intervention strategies. This study aimed to investigate symptom-level associations between anxiety and depression using network analysis and to identify core symptoms, bridge symptoms, and differences in network structure across different stages of adolescence.MethodsThe cross-sectional study was conducted in March 2022 in Shenzhen, China. Participants completed the Generalized Anxiety Disorder Scale-7 and Patient Health Questionnaire Depression Scale, along with demographic questionnaires assessing age and gender. Chinese adolescents aged 10 to 17 who were in Grades 5 or 6 of elementary school, Grades 1 or 2 of middle school, or Grades 1 or 2 of high school, and who could comprehensively understand and read Chinese were recruited as participants. Students in Grade 3 of middle and high schools were excluded due to their upcoming high school or college entrance examinations. Based on age, participants were categorized into early, middle, and late developmental stages of adolescence.Results“Loss of control” was among the most central symptoms in the comorbidity network throughout all three developmental stages; “excessive worry” and “anhedonia” emerged as the core symptoms in early adolescence, and “restlessness” as the core symptom in late adolescence. “Anhedonia,” “sad mood,” and “fatigue” were identified as bridge symptoms between anxiety and depression across all three developmental stages of adolescence. The global strength of the network in middle adolescence was significantly higher compared to the other two stages.ConclusionThese findings highlight the core and bridge symptoms that require special attention and intervention at each stage of adolescence. Moreover, significantly higher network connectivity in middle adolescence suggests this is a critical period for intervention to prevent the development of comorbid mental disorders.

Associations of iron deficiency and depressive symptoms among young adult males and Females: NHANES 2017 to 2020

Depression is one of the most prevalent mental health conditions throughout the lifespan. Notable differences in the prevalence of depression among females and males arise during adolescence and may peak during young adulthood. Since iron deficiency is a treatable condition that may contribute to depression, this topic among youth (18 to 25 years of age) needs to be further explored. Thus, our study examines the associations between three measures of iron (ferritin, serum iron, and transferrin saturation levels) with Patient Health Questionnaire-9 (PHQ-9) depressive symptoms and depression among young adult males and females using the National Health and Nutrition Examination Survey (NHANES) 2017–2020. Using multivariable Poisson and logistic regression models, adjusting for several demographic and clinical variables, we report 1) the prevalence of depression and 2) the associations between iron deficiency and depressive symptoms and depression among males and females. 917 participants were included in our study. More females (12.5 %) than males (6.8 %) had PHQ-9 depression. Males with ferritin (adjusted odds ratio [AOR] = 14.13, 95 % confidence interval [CI]: 1.51, 132.21), serum iron (AOR = 4.84, 95 % CI: 1.02, 22.92), and transferrin (AOR = 13.79, 95 % CI: 3.59, 53.06) deficiencies were at higher risk for depression, while females with ferritin deficiency (AOR = 0.34, 95 % CI: 0.11, 0.97) had a lower risk for depression. Our study highlights the need to focus on depression screening among young adults as well as risk factors for depression among this age group. Identifying risk factors and screening for iron deficiency, especially among females, should be considered as well.

The validity and IRT psychometric analysis of Chinese version of Difficult Doctor-Patient Relationship Questionnaire (DDPRQ-10)

ObjectiveThe doctor-patient relationship (DPR) plays a crucial role in the Chinese healthcare system, functioning to improve medical quality and reduce medical costs. This study examined the psychometric properties of the Chinese version of the Difficult Doctor-Patient Relationship Questionnaire (DDPRQ-10) among general hospital inpatients in China.MethodsThe research recruited 38 resident doctors responsible for 120 participants, and factor analyses were used to assess the construct validity of the scale. Convergent validity was evaluated by examining the correlation between DDPRQ-10 and depressive symptoms, burnout, and self-efficacy, using the Patient Health Questionnaire Depression Scale-9 item (PHQ-9), and the Maslach Burnout Inventory (MBI). Both multidimensional item response theory (MIRT) and unidimensional item response theory (IRT) frameworks were used to estimate the parameters of each item.ResultsThe Chinese version of DDPRQ-10 showed satisfactory internal consistency (Cronbach's alpha = 0.931), and fitted in a modified two-factor model of positive feelings and negative feelings (χ2/df = 1.494, GFI = 0.925, RMSEA = 0.071, SRMR = 0.008, CFI = 0.985, NFI = 0.958, NNFI = 0.980, TLI = 0.980, IFI = 0.986). Significant correlations with PHQ-9 with DDPRQ-10 and both subscales were revealed (r = 0.293 ~ 0.333, p < .001), while DDPRQ-10 score also significantly correlated with doctors’ MBI score (r = -0.467, p < .001). The MIRT model of full scale and IRT models of both subscales showed high discrimination of all items (a = 2.30 ~ 10.18), and the test information within the range of low-quality relationship was relatively high.ConclusionThe Chinese version of DDPRQ-10 displayed satisfactory reliability and validity and thus was appropriate for measuring the DPR in Chinese medical settings.

A psychometric evaluation of the 16-item PHQ-ADS concomitant anxiety and depression scale in the UK biobank using item response theory

BackgroundThe Patient Health Questionnaire Anxiety and Depression Scale (PHQ-ADS) provides a reliable and valid measure of concomitant depression and anxiety. However, research on its psychometric efficiency and optimal scale length using item-response theory (IRT) has not been reported. This study aimed to optimize the length of the PHQ-ADS scale without losing information by discarding items that were a poor fit to the IRT model. MethodsThe UK Biobank is a large cohort study designed to investigate risk factors for a broad range of disease. PHQ-ADS data were available from n = 152,826 participants (age = 55.87 years; SD = 7.73; 56.4 % female), 30.4 % of the entire UK Biobank sample. Psychometric properties of the PHQ-ADS were investigated using a 2-parameter IRT and Mokken analysis. Item statistics included discrimination, difficulty and Loevinger H coefficients of monotonicity. ResultsIn the entire 16-item scale, item discrimination ranged from 1.40 to 4.22, with the item ‘worrying’ showing the highest level of discrimination and the item ‘sleep disturbance’ showing the lowest. Mokken analysis showed that the 16-item PHQ-ADS scale could be reduced to a 7-item scale without loss of test information. The reduced scale comprised mainly items measuring cognitive-affective symptoms of anxiety/depression, whereas items measuring somatic symptoms were discarded. The revised scale showed high discrimination and scalability. LimitationsFindings are limited by the use of cross-sectional data that only included the baseline online questionnaire, but not other waves. ConclusionsIRT is a useful technique for scale reductions which serve the clinical and epidemiological need to optimize screening questionnaires to reduce redundancy and maximize information. A reduced-item 7-item PHQ-ADS scale reduces the response burden on participants in epidemiological research settings, without loss of information.

Addressing mental health problems among persons without stable housing in the context of the COVID-19 pandemic: study protocol for a randomised trial. RESPOND – France

BackgroundThe COVID-19 pandemic has had an impact on population-wide mental health and well-being. Although people experiencing socioeconomic disadvantage may be especially vulnerable, they experience barriers in accessing mental health care. To overcome these barriers, the World Health Organization (WHO) designed two scalable psychosocial interventions, namely the web-based Doing What Matters in Times of Stress (DWM) and the face-to-face Problem Management Plus (PM+), to help people manage stressful situations. Our study aims to test the effectiveness of a stepped-care program using DWM and PM + among individuals experiencing unstable housing in France – a majority of whom are migrant or have sought asylum.MethodsThis is a randomised controlled trial to evaluate the effectiveness and cost effectiveness of a stepped-care program using DWM and PM + among persons with psychological distress and experiencing unstable housing, in comparison to enhanced care as usual (eCAU). Participants (N = 210) will be randomised to two parallel groups: eCAU or eCAU plus the stepped-care program. The main study outcomes are symptoms of depression and anxiety measured using the Patient Health Questionnaire Anxiety and Depression Scale (PHQ-ADS).DiscussionThis randomised controlled trial will contribute to a better understanding of effective community-based scalable strategies that can help address the mental health needs of persons experiencing socioeconomic disadvantage, whose needs are high yet who frequently have limited access to mental health care services.Trial registrationthis randomised trial has been registered at ClinicalTrials.gov under the number NCT05033210.

Long-Term Efficacy of a Mobile Mental Wellness Program: Prospective Single-Arm Study.

Rising rates of psychological distress (symptoms of depression, anxiety, and stress) among adults in the United States necessitate effective mental wellness interventions. Despite the prevalence of smartphone app-based programs, research on their efficacy is limited, with only 14% showing clinically validated evidence. Our study evaluates Noom Mood, a commercially available smartphone-based app that uses cognitive behavioral therapy and mindfulness-based programming. In this study, we address gaps in the existing literature by examining postintervention outcomes and the broader impact on mental wellness. Noom Mood is a smartphone-based mental wellness program designed to be used by the general population. This prospective study evaluates the efficacy and postintervention outcomes of Noom Mood. We aim to address the rising psychological distress among adults in the United States. A 1-arm study design was used, with participants having access to the Noom Mood program for 16 weeks (N=273). Surveys were conducted at baseline, week 4, week 8, week 12, week 16, and week 32 (16 weeks' postprogram follow-up). This study assessed a range of mental health outcomes, including anxiety symptoms, depressive symptoms, perceived stress, well-being, quality of life, coping, emotion regulation, sleep, and workplace productivity (absenteeism or presenteeism). The mean age of participants was 40.5 (SD 11.7) years. Statistically significant improvements in anxiety symptoms, depressive symptoms, and perceived stress were observed by week 4 and maintained through the 16-week intervention and the 32-week follow-up. The largest changes were observed in the first 4 weeks (29% lower, 25% lower, and 15% lower for anxiety symptoms, depressive symptoms, and perceived stress, respectively), and only small improvements were observed afterward. Reductions in clinically relevant anxiety (7-item generalized anxiety disorder scale) and depression (8-item Patient Health Questionnaire depression scale) criteria were also maintained from program initiation through the 16-week intervention and the 32-week follow-up. Work productivity also showed statistically significant results, with participants gaining 2.57 productive work days from baseline at 16 weeks, and remaining relatively stable (2.23 productive work days gained) at follow-up (32 weeks). Additionally, effects across all coping, sleep disturbance (23% lower at 32 weeks), and emotion dysregulation variables exhibited positive and significant trends at all time points (15% higher, 23% lower, and 25% higher respectively at 32 weeks). This study contributes insights into the promising positive impact of Noom Mood on mental health and well-being outcomes, extending beyond the intervention phase. Though more rigorous studies are necessary to understand the mechanism of action at play, this exploratory study addresses critical gaps in the literature, highlighting the potential of smartphone-based mental wellness programs to lessen barriers to mental health support and improve diverse dimensions of well-being. Future research should explore the scalability, feasibility, and long-term adherence of such interventions across diverse populations.

Effectiveness of a scalable, remotely delivered stepped-care intervention to reduce symptoms of psychological distress among Polish migrant workers in the Netherlands: study protocol for the RESPOND randomised controlled trial

BackgroundThe COVID-19 pandemic has negatively affected the mental health of international migrant workers (IMWs). IMWs experience multiple barriers to accessing mental health care. Two scalable interventions developed by the World Health Organization (WHO) were adapted to address some of these barriers: Doing What Matters in times of stress (DWM), a guided self-help web application, and Problem Management Plus (PM +), a brief facilitator-led program to enhance coping skills. This study examines whether DWM and PM + remotely delivered as a stepped-care programme (DWM/PM +) is effective and cost-effective in reducing psychological distress, among Polish migrant workers with psychological distress living in the Netherlands.MethodsThe stepped-care DWM/PM + intervention will be tested in a two-arm, parallel-group, randomized controlled trial (RCT) among adult Polish migrant workers with self-reported psychological distress (Kessler Psychological Distress Scale; K10 > 15.9). Participants (n = 212) will be randomized into either the intervention group that receives DWM/PM + with psychological first aid (PFA) and care-as-usual (enhanced care-as-usual or eCAU), or into the control group that receives PFA and eCAU-only (1:1 allocation ratio). Baseline, 1-week post-DWM (week 7), 1-week post-PM + (week 13), and follow-up (week 21) self-reported assessments will be conducted. The primary outcome is psychological distress, assessed with the Patient Health Questionnaire Anxiety and Depression Scale (PHQ-ADS). Secondary outcomes are self-reported symptoms of depression, anxiety, posttraumatic stress disorder (PTSD), resilience, quality of life, and cost-effectiveness. In a process evaluation, stakeholders’ views on barriers and facilitators to the implementation of DWM/PM + will be evaluated.DiscussionTo our knowledge, this is one of the first RCTs that combines two scalable, psychosocial WHO interventions into a stepped-care programme for migrant populations. If proven to be effective, this may bridge the mental health treatment gap IMWs experience.Trial registrationDutch trial register NL9630, 20/07/2021, https://www.onderzoekmetmensen.nl/en/trial/27052

Same but different? Phenomenological differences among various types of body-focused repetitive behaviors.

Body-focused repetitive behaviors (BFRBs) are highly prevalent conditions at the border of psychiatry and dermatology. Using a newly developed scale, the Generic BFRB scale (GBS-36), we aimed to compare 4 prominent BFRBs in terms of phenomenology, age at onset, and other illness-related aspects. A sample of 391 individuals with different forms of BFRBs completed the GBS-36, the Patient Health Questionnaire-9 (depression), and the World Health Organization Quality of Life-BREF global item (quality of life). Most individuals showed multiple BFRBs (73.9%). Skin picking and nail biting were reported most frequently (nail biting: 68.3%; skin picking: 60.9%; trichotillomania: 52.4%; lip-cheek biting: 31.7%). Nail biting was most common in childhood; the other BFRBs began mainly in adolescence. Both trichotillomania and skin picking were associated with the greatest impairment and urge to perform the behavior. The 2 conditions also showed a higher association with obsessive-compulsive disorder. Overall symptom severity was correlated with earlier age of onset, number of concurrent BFRBs, and severity of depression as well as suicidality. BFRBs are a heterogeneous group of conditions, with trichotillomania and skin picking showing the largest similarities. Whether the observed differences reflect specific etiological factors awaits further testing.