Correlations between doctors’ and patients’ assessment of depression’ severity and efficacy of treatment

2017 ◽  
Vol 41 (S1) ◽  
pp. S534-S534
Author(s):  
V. Medvedev ◽  
K. Retyunsky ◽  
A. Ovchinnikov ◽  
Y. Barilynik ◽  
A. Shmilovich ◽  
...  
Keyword(s):  
Treatment Outcome ◽  
Depressive Symptoms ◽  
Prognostic Value ◽  
Severe Depression ◽  
Depression Severity ◽  
Psychometric Scales ◽  
Depression Assessment ◽  
Severity Of Depression ◽  
Competing Interest ◽  
Antidepressive Treatment

IntroductionData on accordance and clinical significancy of objective (doctor, psychometric scales) and subjective (patient with depression) assessment of severity of depression are almost lacking. Aim of the multicenter study “EMOTION” was to compare prognostic value of doctor's and patient's assessment of depressive symptoms severity as for its grading and treatment outcome.MethodStudy sample consist of 107 depressive patients. The study used clinical and psychometric (HDRS, SHAPS, CGI-S, CGI-I, PGI-S, PGI-I, Visual Analog Scale) methods.ResultsOur data suggest that there's statistically significant (Р ˂ 0.001) discrepancy between doctors’ (CGI-S) and patients’ (PGI-S) assessment of depressive symptoms’ severity at first visit. Concordant opinions were found only in “marked depression” (37.49% of doctors and 36.59% of patients) and in “borderline depression” (4.79% of doctors and 3.79% of patients). Otherwise, doctors’ and patients’ opinions were discordant. Doctors’ scores were more extreme (severe and extremely severe depression); patients’ scores were more “moderate”. We have found inconsistence between HDRS and CGI-S scores. In the course of reduction of depression severity during antidepressive treatment (agomelatine) doctors’ and patients’ scores were more and more in line with each other.ConclusionWe have found leveling of prognostic value of psychometric assessment of depression severity by doctors and patients (in terms of reduction of depressive symptoms severity and treatment outcome) during antidepressive therapy. It is possible that in some HDRS items scores were overestimated.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals Assessment of family function impact on depression severity among infertile women attending a teaching hospital in South-South Nigeria

2020 ◽  
Vol 6 (8) ◽  
pp. FSO595
Author(s):  
Alex A Adelosoye ◽  
Olumuyiwa J Fasipe ◽  
Elihu I Medunoye ◽  
Onyekachukwu C Adelosoye ◽  
Elisha O Sunday
Keyword(s):  
Teaching Hospital ◽  
Significant Relationship ◽  
Severe Depression ◽  
Family Dysfunction ◽  
University Teaching ◽  
Depression Severity ◽  
Family Function ◽  
Severity Of Depression ◽  
Husband Support ◽  
The Impact

Aim: Family function and husband support can impact depression severity in women with infertility disorder. The aim of this study was to assess the impact of family function and husband support on depression severity among women with infertility disorder at the fertility clinics of a University Teaching Hospital, South-South, Nigeria. Methodology: A cross-sectional descriptive study was carried out among 341 female respondents attending the University of Benin Teaching Hospital fertility clinics over a 3-month period, using a semistructured interviewer administered questionnaire. Data obtained were analyzed. Result: Respondents mean age was 36 ± 5.3 years. The overall prevalence for depression in this study was 42.5% with a breakdown of 64.2%, 30.4% and 5.4% of these depressed participants having mild, moderate and severe depression, respectively. Family dysfunction had a statistically significant relationship with severity of depression in women with infertility (p < 0.001). A statistically significant relationship was established between poor husband support and the severity of depression (p < 0.001). Conclusion: Depression is highly prevalent among women with infertility disorder, severe depression was associated with family dysfunction. Good family function would reduce the severity of depression.

Depression influences the EDI scores in anorexia nervosa patients

2003 ◽  
Vol 18 (3) ◽  
pp. 119-123 ◽  
Author(s):  
Chantal Bizeul ◽  
Jean Marcel Brun ◽  
Daniel Rigaud
Keyword(s):  
Anorexia Nervosa ◽  
Depressive Symptoms ◽  
Major Depression ◽  
Young Women ◽  
Interpersonal Relations ◽  
Severe Depression ◽  
Body Image Dissatisfaction ◽  
Control Group ◽  
Healthy Controls ◽  
Severity Of Depression

AbstractAimTo study the influence of the severity of depression on the eating disorder’s inventory (EDI) scores in anorexia nervosa (AN) patients.MethodsWe compared by variance analysis the EDI scores from three groups of AN patients: 55 patients having a major depression (as assessed by a Beck’s depression inventory (BDI) ≥ 16); 77 patients having a less severe depression (BDI < 16); 32 patients with mild or non-existent depression (BDI ≤ 7) and the EDI scores from a control group of 29 French healthy young women.ResultsHigher EDI scores were elicited in the more severely depressed AN patients than in the less- or non-depressed AN patients (P < 0.01). In non-depressed AN patients, none of the scores was different from those of the control group. This was particularly true for the scores “Slimness wish”, “bulimia”, “body image dissatisfaction”, “perfectionism” and “fear of maturity”. The non-depressed restrictive AN patients had no score which differ from healthy controls.DiscussionsThe present results suggested that the EDI scores are clearly influenced by the severity of depression. Among the psychopathological and behavioural traits assessed with the EDI, only a few were not related to depressive symptoms: “feeling of inefficiency” and “distrust in interpersonal relations”.

scholarly journals Variability in Depressive Symptoms of Cognitive Deficit and Cognitive Bias During the First 2 Years After Diagnosis in Australian Men With Prostate Cancer

2014 ◽  
Vol 10 (1) ◽  
pp. 6-13
Author(s):  
Christopher F. Sharpley ◽  
Vicki Bitsika ◽  
David R. H. Christie
Keyword(s):  
Prostate Cancer ◽  
Depressive Symptoms ◽  
Cognitive Bias ◽  
Cognitive Deficit ◽  
Depression Scale ◽  
Severe Depression ◽  
Background Information ◽  
Cognitive Symptoms ◽  
Depression Severity ◽  
Symptoms Of Depression

The incidence and contribution to total depression of the depressive symptoms of cognitive deficit and cognitive bias in prostate cancer (PCa) patients were compared from cohorts sampled during the first 2 years after diagnosis. Survey data were collected from 394 patients with PCa, including background information, treatments, and disease status, plus total scores of depression and scores for subscales of the depressive symptoms of cognitive bias and cognitive deficit via the Zung Self-Rating Depression Scale. The sample was divided into eight 3-monthly time-since-diagnosis cohorts and according to depression severity. Mean scores for the depressive symptoms of cognitive deficit were significantly higher than those for cognitive bias for the whole sample, but the contribution of cognitive bias to total depression was stronger than that for cognitive deficit. When divided according to overall depression severity, patients with clinically significant depression showed reversed patterns of association between the two subsets of cognitive symptoms of depression and total depression compared with those patients who reported less severe depression. Differences in the incidence and contribution of these two different aspects of the cognitive symptoms of depression for patients with more severe depression argue for consideration of them when assessing and diagnosing depression in patients with PCa. Treatment requirements are also different between the two types of cognitive symptoms of depression, and several suggestions for matching treatment to illness via a personalized medicine approach are discussed.

scholarly journals Transdiagnostic Mobile Health: Smartphone Intervention Reduces Depressive Symptoms in People With Mood and Psychotic Disorders

10.2196/13202 ◽  
2019 ◽  
Vol 6 (4) ◽  
pp. e13202 ◽  
Author(s):  
Dror Ben-Zeev ◽  
Benjamin Buck ◽  
Phuonguyen Vu Chu ◽  
Lisa Razzano ◽  
Nicole Pashka ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Severe Depression ◽  
Patient Characteristics ◽  
Psychotic Symptoms ◽  
Depression Severity ◽  
Mild Depression ◽  
Significant Group ◽  
Schizophrenia Spectrum ◽  
Smartphone Intervention

Background Depression is the most prevalent mental health problem. The need for effective treatments for depression far outstrips the availability of trained mental health professionals. Smartphones and other widely available technologies are increasingly being leveraged to deliver treatments for depression. Whether there are patient characteristics that affect the potency of smartphone interventions for depression is not well understood. Objective This study aimed to evaluate whether patient characteristics including clinical diagnosis, depression severity, psychosis status, and current use of antidepressant medications impact the effects of an evidence-based smartphone intervention on depressive symptoms. Methods Data were collected as part of a 2-arm randomized controlled trial comparing a multimodal smartphone intervention called FOCUS with a clinic-based intervention. Here, we report on 82 participants assigned to 12 weeks of FOCUS treatment. We conducted assessments of depressive symptoms using the Beck Depression Inventory-second edition (BDI-II) at baseline, postintervention (3 months), and follow-up (6 months). We tested for differences in the amount of improvement in BDI-II scores from baseline to posttreatment and 6-month follow-up between each of the following patient subgroups using 2 (group) × 2 (time) mixed effects models: diagnosis (ie, schizophrenia spectrum disorder vs bipolar disorder vs major depressive disorder), depression severity (ie, minimal-mild vs moderate-severe depression), psychosis status (ie, presence vs absence of psychotic symptoms), and antidepressant use (ie, taking antidepressants vs not taking antidepressants). Results The majority of participants were male (60%, 49/82), African American (65%, 53/82), and middle-aged (mean age 49 years), with a high school education or lower (62%, 51/82). There were no differences in patient demographics across the variables that were used to stratify the analyses. There was a significant group × time interaction for baseline depression severity (F1,76.8=5.26, P=.02 [posttreatment] and F1,77.4=6.56, P=.01 [6-month follow-up]). Participants with moderate or severe depression had significant improvements (t42=3.20, P=.003 [posttreatment] and t42=4.20, P<.001 [6-month follow-up]), but participants with minimal or mild depression did not (t31=0.20, P=.84 [posttreatment] and t30=0.43, P=.67 [6-month follow-up]). There were no significant group × time interactions for diagnosis, psychosis status, or antidepressant medication use. Participants with minimal or mild depression had negligible nonsignificant improvements (<1 point on the BDI-II). Reduction in depression in all other groups was larger (range 1.7-6.5 points on the BDI-II). Conclusions Our results suggest that FOCUS can be deployed to treat moderate to severe depressive symptoms among people with schizophrenia spectrum disorders, bipolar disorder, and major depressive disorder, in concert with antidepressant medications or without them, in both people with and without active psychotic symptoms. The study results are consistent with research on transdiagnostic models in psychotherapy and extend our knowledge about the potential of transdiagnostic mobile health. Trial Registration ClinicalTrials.gov NCT02421965; http://clinicaltrials.gov/ct2/show/NCT02421965 (Archived by WebCite at http://www.webcitation.org/76pyDlvAS)

T3 Blood Levels and Treatment Outcome in Depression

2001 ◽  
Vol 31 (4) ◽  
pp. 367-373 ◽  
Author(s):  
Dan V. Iosifescu ◽  
Shauna Howarth ◽  
Jonathan E. Alpert ◽  
Andrew A. Nierenberg ◽  
John J. Worthington ◽  
...  
Keyword(s):  
Treatment Outcome ◽  
Depressive Symptoms ◽  
Rating Scale ◽  
Antidepressant Treatment ◽  
Blood Levels ◽  
Score Change ◽  
Baseline Severity ◽  
Severity Of Depression ◽  
Dsm Iv ◽  
Hamilton Rating Scale

Objective: We examined the correlation between the basal triiodothyronine resin uptake (T3-RU) levels in depressed subjects and the response to antidepressant treatment. Method: We treated with fluoxetine 235 outpatients meeting DSM-IV criteria for major depression. We measured T3 resin uptake (T3-RU) levels before the onset of treatment. The 17-item Hamilton Rating Scale for Depression (Ham-D-17) was administered before, during and after the eight weeks of treatment to assess changes in depressive symptoms. Results: 16 patients (6.8 percent) had low T3-RU levels (range 16.5–21), and 7 patients (3.0 percent) had high T3-RU levels (range 36–38). No relationship was found between T3-RU levels and clinical improvement, defined as either total Ham-D-17 score change or Ham-D-17 score ≤ 7 in the last 3 weeks of treatment, even after adjusting for baseline severity of depression. Conclusion: Abnormal T3-RU levels are rather uncommon in outpatient depression and do not correlate with the response to antidepressant treatment or lack thereof.

scholarly journals Reduced Hedonic Tone and Emotion Dysregulation Predict Depressive Symptoms Severity during the COVID-19 Outbreak: An Observational Study on the Italian General Population

2020 ◽  
Vol 18 (1) ◽  
pp. 255
Author(s):  
Lorenzo Moccia ◽  
Delfina Janiri ◽  
Giulia Giuseppin ◽  
Benedetta Agrifoglio ◽  
Laura Monti ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
General Population ◽  
Emotion Dysregulation ◽  
Close Contact ◽  
Severe Depression ◽  
Depression Severity ◽  
Hedonic Tone ◽  
Online Questionnaire ◽  
Related Information ◽  
Potential Factors

The COVID-19 pandemic has spiked stress-related symptoms worldwide. This study aims to assess depressive symptoms related to the early phase of the COVID-19 outbreak among the Italian general population and to analyze anhedonia and emotion dysregulation as potential predictors of depression severity. Through an online questionnaire, we collected sociodemographic and lockdown-related information; depressive symptoms, hedonic tone, and emotion dysregulation were assessed through the Beck Depression Inventory II, the Snaith–Hamilton Pleasure Scale, and the Difficulties in Emotion Regulation Scale, respectively. In our sample (n = 500), 122 individuals (24.4%) reported depressive symptoms during the COVID-19 outbreak. Individuals with and without depression differed in gender (X2 = 4.77, df = 1, p = 0.02) and age (X2 = 15.7, df = 4, p = 0.003). Among individuals presenting with depressive symptoms, those reporting close contact with confirmed cases of COVID-19 were at higher risk for severe depression (p = 0.026). Reduced hedonic tone (p = 0.014) and emotion dysregulation (p < 0.001) also predicted depression severity. To the best of our knowledge, these are among the earliest data that focus on the risk for depression among a sizeable sample of the Italian general population during the COVID-19 outbreak. Our results indicate emotion dysregulation and reduced hedonic tone as potential factors predicting COVID-19-related depression severity and provide insight into developing targeted intervention policies.

scholarly journals DEPRESSION;

2018 ◽  
Vol 25 (08) ◽  
pp. 1177-1181
Author(s):  
Ejaz Gul ◽  
Muhammad Muslim Khan ◽  
Mukhtiar Azeemi ◽  
Pirzada Muhammad Muneeb
Keyword(s):  
Depressive Symptoms ◽  
Rating Scale ◽  
Severe Depression ◽  
Cross Sectional Study ◽  
Menopausal Symptoms ◽  
Cross Sectional ◽  
Symptoms Of Depression ◽  
Menopausal Women ◽  
Severity Of Depression ◽  
Accompanying Symptoms

Depression is a common problem among women. Different variables contributein influencing depression among women. Menopause is one variable that may trigger symptomsof depression. Different variables jointly contribute in influencing the presentation of menopausalsymptoms including sociocultural, psychological and environmental factors. No studies havebeen conducted to assess mean age and symptoms of depression among menopausalwomen of Mardan. Objectives: To assess accompanying symptoms of depression and theirseverity among menopausal women. Study Design: Cross-sectional study. Setting: GynaeOut-patient Department at Mardan Medical Complex. Period: February 2017 to October 2017.Methods: The sample consisted of 200 women ranging in age from 45-71 years. Each patientwas assessed using sociodemographic sheet, menopausal symptoms were assessed usingMenopausal rating scale and severity of depression was measured using Hamilton depressionscale. Data was entered and analyzed using SPSS Version 21.0. Results: According to thefindings of this study, mean age at menopause was noted to be 49.1 ranging from 44-59. Amongthe many predominant menopausal symptoms, the most common among these symptomsreported were joint and muscle discomfort in 62% of women, followed by sleep problem (17%),and physical and mental exhaustion (11%). The least reported menopausal symptoms weredrying of vagina, sexual problems and anxiety. Depression was found among 26 % of thefemale participants according to Hamilton scoring criteria. Mild depressive symptoms werenoted among 24%, moderate depressive symptoms 14%, severe 5% and very severe 7%.Conclusion: According to the results of the current study, 50 % of the participants lies in therange of depression according to Hamilton depression scores. Among these 50%, more thanhalf 26 % lies in the range of severe to very severe depression while the rest 24% lies in therange of mild to moderate depression.

scholarly journals Transdiagnostic Mobile Health: Smartphone Intervention Reduces Depressive Symptoms in People With Mood and Psychotic Disorders (Preprint)

2018 ◽  
Author(s):  
Dror Ben-Zeev ◽  
Benjamin Buck ◽  
Phuonguyen Vu Chu ◽  
Lisa Razzano ◽  
Nicole Pashka ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Severe Depression ◽  
Patient Characteristics ◽  
Psychotic Symptoms ◽  
Depression Severity ◽  
Mild Depression ◽  
Significant Group ◽  
Schizophrenia Spectrum ◽  
Smartphone Intervention

BACKGROUND Depression is the most prevalent mental health problem. The need for effective treatments for depression far outstrips the availability of trained mental health professionals. Smartphones and other widely available technologies are increasingly being leveraged to deliver treatments for depression. Whether there are patient characteristics that affect the potency of smartphone interventions for depression is not well understood. OBJECTIVE This study aimed to evaluate whether patient characteristics including clinical diagnosis, depression severity, psychosis status, and current use of antidepressant medications impact the effects of an evidence-based smartphone intervention on depressive symptoms. METHODS Data were collected as part of a 2-arm randomized controlled trial comparing a multimodal smartphone intervention called FOCUS with a clinic-based intervention. Here, we report on 82 participants assigned to 12 weeks of FOCUS treatment. We conducted assessments of depressive symptoms using the Beck Depression Inventory-second edition (BDI-II) at baseline, postintervention (3 months), and follow-up (6 months). We tested for differences in the amount of improvement in BDI-II scores from baseline to posttreatment and 6-month follow-up between each of the following patient subgroups using 2 (group) × 2 (time) mixed effects models: diagnosis (ie, schizophrenia spectrum disorder vs bipolar disorder vs major depressive disorder), depression severity (ie, minimal-mild vs moderate-severe depression), psychosis status (ie, presence vs absence of psychotic symptoms), and antidepressant use (ie, taking antidepressants vs not taking antidepressants). RESULTS The majority of participants were male (60%, 49/82), African American (65%, 53/82), and middle-aged (mean age 49 years), with a high school education or lower (62%, 51/82). There were no differences in patient demographics across the variables that were used to stratify the analyses. There was a significant group × time interaction for baseline depression severity (F1,76.8=5.26, P=.02 [posttreatment] and F1,77.4=6.56, P=.01 [6-month follow-up]). Participants with moderate or severe depression had significant improvements (t42=3.20, P=.003 [posttreatment] and t42=4.20, P<.001 [6-month follow-up]), but participants with minimal or mild depression did not (t31=0.20, P=.84 [posttreatment] and t30=0.43, P=.67 [6-month follow-up]). There were no significant group × time interactions for diagnosis, psychosis status, or antidepressant medication use. Participants with minimal or mild depression had negligible nonsignificant improvements (<1 point on the BDI-II). Reduction in depression in all other groups was larger (range 1.7-6.5 points on the BDI-II). CONCLUSIONS Our results suggest that FOCUS can be deployed to treat moderate to severe depressive symptoms among people with schizophrenia spectrum disorders, bipolar disorder, and major depressive disorder, in concert with antidepressant medications or without them, in both people with and without active psychotic symptoms. The study results are consistent with research on transdiagnostic models in psychotherapy and extend our knowledge about the potential of transdiagnostic mobile health. CLINICALTRIAL ClinicalTrials.gov NCT02421965; http://clinicaltrials.gov/ct2/show/NCT02421965 (Archived by WebCite at http://www.webcitation.org/76pyDlvAS)

scholarly journals The Effectiveness of Mindfulness-Based Cognitive Therapy in Primary Care and the Role of Depression Severity and Treatment Attendance

Mindfulness ◽  
2021 ◽  
Author(s):  
Matilde Elices ◽  
Víctor Pérez-Sola ◽  
Adrián Pérez-Aranda ◽  
Francesc Colom ◽  
Maria Polo ◽  
...  
Keyword(s):  
Primary Care ◽  
Depressive Symptoms ◽  
Cognitive Therapy ◽  
Severe Depression ◽  
Symptom Improvement ◽  
Depression Severity ◽  
Mild Depression ◽  
Treatment Attendance ◽  
Pre Treatment

Abstract Objectives Evidence suggests the efficacy of mindfulness-based cognitive therapy (MBCT) to prevent depression relapse and decrease depressive symptoms during the acute phase. However, the effectiveness of MBCT in real-world heterogeneous samples treated in clinical health settings, including primary care, has received little attention. This study had two aims: (1) to evaluate the effectiveness of MBCT delivered in primary care considering pre-treatment depression scores and (2) to explore the role of participants’ characteristics on symptom improvement. Methods Data were obtained from 433 individuals who received MBCT. Participants completed the Personality Inventory for ICD-11 (PiCD) pretreatment and the Beck Depression Inventory (BDI-II) pre- and post-treatment. Results Sixty percent presented moderate-to-severe depression according to scores on the BDI-II, 18.1% presented mild depression, and 21.7% were in the non-depressed range. The severity of pre-treatment depressive symptoms was associated with outcomes. Most individuals who lacked depressive symptoms at baseline remained in the non-clinical range after the treatment. Those in the severe group benefited the most from the intervention, since 35.6% were considered recovered. Rates of deterioration ranged from 2.1 to 2.7%, depending on the depression-baseline scores. Depression severity at the entrance, attendance, and age, but not personality traits, appear to be related to symptom improvement. Conclusions According to our results, MBCT can be effectively and safely delivered in primary care.

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