Dataset Information

A population study comparing screening performance of prototypes for depression and anxiety with standard scales.

ABSTRACT:

Background

Screening instruments for mental disorders need to be short, engaging, and valid. Current screening instruments are usually questionnaire-based and may be opaque to the user. A prototype approach where individuals identify with a description of an individual with typical symptoms of depression, anxiety, social phobia or panic may be a shorter, faster and more acceptable method for screening. The aim of the study was to evaluate the accuracy of four new prototype screeners for predicting depression and anxiety disorders and to compare their performance with existing scales.

Methods

Short and ultra-short prototypes were developed for Major Depressive Disorder (MDD), Generalised Anxiety Disorder (GAD), Panic Disorder (PD) and Social Phobia (SP). Prototypes were compared to typical short and ultra-short self-report screening scales, such as the Centre for Epidemiology Scale, CES-D and the GAD-7, and their short forms. The Mini International Neuropsychiatric Interview (MINI) version 6 1 was used as the gold standard for obtaining clinical criteria through a telephone interview. From a population sample, 225 individuals who endorsed a prototype and 101 who did not were administered the MINI. Receiver operating characteristic (ROC) curves were plotted for the short and ultra short prototypes and for the short and ultra short screening scales.

Results

The study found that the rates of endorsement of the prototypes were commensurate with prevalence estimates. The short-form and ultra short scales outperformed the short and ultra short prototypes for every disorder except GAD, where the GAD prototype outperformed the GAD 7.

Conclusions

The findings suggest that people may be able to self-identify generalised anxiety more accurately than depression based on a description of a prototypical case. However, levels of identification were lower than expected. Considerable benefits from this method of screening may ensue if our prototypes can be improved for Major Depressive Disorder, Social Phobia and Panic Disorder.

SUBMITTER: Christensen H

PROVIDER: S-EPMC3235985 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Context: Stroke has several consequences on survivors' daily life even for those who experience short-lasting neurological symptoms with no functional disability. Depression and anxiety are common psychological disorders occurring after a stroke. They affect long-term outcomes and quality of life but they are difficult to diagnose because of the neurobiological consequences of brain lesions. Current research priority is given to the improvement of the detection and prevention of those post-stroke psychological disorders. Although previous studies have brought promising perspectives, their designs based on retrospective tools involve some limits regarding their ecological validity. Ecological Momentary Assessment (EMA) is an alternative to conventional instruments that could be a key in research for understanding processes that underlined post-stroke depression and anxiety onset. We aim to evaluate the feasibility and validity of anxiety, depression and coping EMA for minor stroke patients. Methods: Patients hospitalized in an Intensive Neuro-vascular Care Unit between April 2016 and January 2017 for a minor stroke is involved in a study based on an EMA methodology. We use a smartphone application in order to assess anxiety and depression symptoms and coping strategies four times a day during 1 week at three different times after stroke (hospital discharge, 2 and 4 months). Participants' self-reports and clinician-rates of anxiety, depression and coping are collected simultaneously using conventional and standard instruments. Feasibility of the EMA method will be assessed considering the participation and compliance rate. Validity will be the assessed by comparing EMA and conventional self-report and clinician-rated measures. Discussion: We expect this study to contribute to the development of EMA using smartphone in minor stroke population. EMA method offers promising research perspective in the assessment and understanding of post-stroke psychological disorders. The development of EMA in stroke population could lead to clinical implications such as remotely psychological follow-ups during early supported discharge. Trial registration: European Clinical Trials Database Number 2014-A01937-40.

Project description:Depression and anxiety disorders are highly comorbid conditions and a worldwide disease burden; however, large-scale studies delineating their association are scarce. In this retrospective study, we aimed to assess the effect of severe anxiety disorders on the risk and course of depression.We did a population-based cohort study with prospectively gathered data in Denmark using data from three Danish population registers: The Danish Civil Registration System, the Danish Psychiatric Central Register, and the Danish National Hospital Registry. We selected the cohort from people born in Denmark between Jan 1, 1955, and Dec 31, 2002, who we followed up from Jan 1, 1994, to Dec 31, 2012. The cohort was restricted to individuals with known parents. First, we investigated the effect of specific anxiety diagnoses on risk of single depressive episodes and recurrent depressive disorder. Second, we investigated the effect of comorbid anxiety on risk of readmission for depression, adjusting for sex, age, calendar year, parental age, place at residence at time of birth, and the interaction of age with sex.We included 3,380,059 individuals in our study cohort. The adjusted incidence rate ratio (IRR) for single depressive episodes was 3·0 (95% CI 2·8-3·1, p<0·0001) and for recurrent depressive disorder was 5·0 (4·8-5·2) in patients with severe anxiety disorders compared with the general population. Compared with control individuals, the offspring of parents with anxiety disorders were more likely to be diagnosed with single depressive episodes (1·9, 1·8-2·0) or recurrent depressive disorder (2·1, 1·9-2·2). Comorbid anxiety increased the readmission rates in both patients with single depressive episodes and patients with recurrent depressive disorder.Severe anxiety constitutes a significant risk factor for depression. Focusing on specific anxiety disorders might help to identify individuals at risk of depression, thereby providing new insights for prevention and treatment.The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH).