Performance of the mood disorders questionnaire in a psychiatric outpatient setting

Managing the Dual Diagnosis Dilemma of Bipolar Disorder and Substance Abuse in Clinical Settings

OBJECTIVE

Drug addiction is a chronic mental disorder that significantly impacts all aspects of an individual's life, and substance use disorder in patients with bipolar disorder. The objective of this study is to assess the frequency of substance abuse among patients with bipolar spectrum disorder.

METHOD

This cross-sectional study evaluated the frequency of bipolar spectrum disorder in patients taking methadone through various screening measures, including Mini Mental State Examination (MMSE), DSM IV criteria, Mood Disorders Questionnaire (MDQ), Goodwin and Ghaemi's criteria, and Akiskal classification for bipolar disorders.

RESULTS

Out of the total 197 participants in the study, 77 were identified as individuals engaging in poly-substance abuse. The investigation assessed the frequency of bipolar spectrum disorder based on various diagnostic criteria: 24% according to DSM-IV criteria, 29.9% using MDQ, 29.9% based on Ghaemi and Goodwin's criteria, and the highest rate at 48.2% when applying Akiskal's classification.

CONCLUSIONS

This study highlights the high frequency of bipolar disorder among individuals with substance use disorder, especially those with concomitant depression. Therefore, it is crucial to pay special attention to individuals with substance use disorder with co-existing bipolar disorder.

Genetic examination of the Mood Disorder Questionnaire and its relationship with bipolar disorder

The Mood Disorder Questionnaire (MDQ) is a common screening tool for bipolar disorder that assesses manic symptoms. Its utility for genetic studies of mania or bipolar traits has not been fully examined. We psychometrically compared the MDQ to self-reported bipolar disorder in participants from the United Kingdom National Institute of Health and Care Research Mental Health BioResource. We conducted genome-wide association studies of manic symptom quantitative traits and symptom subgroups, derived from the MDQ items (N = 11,568-19,859). We calculated genetic correlations with bipolar disorder and other psychiatric and behavioral traits. The MDQ screener showed low positive predictive value (0.29) for self-reported bipolar disorder. Neither concurrent nor lifetime manic symptoms were genetically correlated with bipolar disorder. Lifetime manic symptoms had a highest genetic correlation (rg  = 1.0) with posttraumatic stress disorder although this was not confirmed by within-cohort phenotypic correlations (rp  = 0.41). Other significant genetic correlations included attention deficit hyperactivity disorder (rg  = 0.69), insomnia (rg  = 0.55), and major depressive disorder (rg  = 0.42). Our study adds to existing literature questioning the MDQ's validity and suggests it may capture symptoms of general distress or psychopathology, rather than hypomania/mania specifically, in at-risk populations.

Current and Retrospective Childhood Ratings of Emotional Fluctuations in Adults With ADHD

Introduction: Emotional fluctuations and mood swings are common among adults with Attention Deficit/Hyperactivity Disorder (ADHD). Here we investigated if these problems could be retrospectively traced back to childhood behavior.

Methods: Adults with an ADHD diagnosis (n = 502, 48% female) and a population-based control sample (n = 818, 59% female) completed the Adult ADHD Self-report Scale (ASRS), the Wender Utah Rating Scale (WURS) and the Mood Disorder Questionnaire (MDQ). All participants also provided self-reported information about co-existent psychiatric and somatic diseases, and demographic data. Reports on the MDQ were used to define subgroups with [MDQ(+)] and without [MDQ(–)] life-time periods of emotional fluctuations and the WURS scale was used to retrospectively assess childhood ADHD related behaviors and symptoms.

Results: 50.2% of the ADHD group and 5% of the controls were defined with emotional fluctuations [MDQ(+)]. Childhood behavior ratings of “impulsivity,” “loosing of control,” and “trouble with authorities” independently predicted emotional fluctuations reported in adulthood via logistic regression analyses. Inclusion of these three items in a classification analysis gave an accuracy score around 70% in identifying each of the two MDQ categories in the ADHD group.

Discussion: The strong association between self-reported features of emotional problems in childhood and in adulthood suggests a trajectory that should be detected and remediated at an early age. Future longitudinal studies should prioritize the examination of developmental mechanisms explaining the persistence of emotional problems from childhood into adulthood.

The Factor Structure of the Mood Disorder Questionnaire in Tunisian Patients

Background:

The Mood Disorder Questionnaire (MDQ) is a frequently used screening tool for the early detection of Bipolar Disorder (BD), which is often unrecognized or misdiagnosed at its onset. In this study, data from Tunisia has been used to evaluate the psychometric properties of the Arabic MDQ.

Methods:

The sample included 151 patients with a current major depressive episode. The Arabic adapted version of the Structured Clinical Interview for DSM-IV-TR was used to formulate a diagnosis, yielding 62 patients with BD and 89 with unipolar Major Depressive Disorder (MDD). Principal component analysis with parallel analysis was used to establish the spontaneous distribution of the 13 core items of the MDQ. Confirmatory Factor Analysis (CFA) was used to check the available factor models. Receiver Operating Characteristic (ROC) analysis was used to assess the capacity of the MDQ to distinguish patients with BD from those with MDD.

Results:

Cronbach’s α in the sample was 0.80 (95%CI: 0.75 to 0.85). Ordinal α was 0.88. Parallel analysis suggested two main components, which explained 59% of variance in the data. CFA found a good fit for the existing unidimensional, the two-factor, and the three-factor models. ROC analysis showed that at a threshold of 7, the MDQ was able to distinguish patients with BD from those with MDD with extraordinary negative predictive value (0.92) and a positive diagnostic likelihood ratio of 3.8.

Conclusion:

The Arabic version of the MDQ showed good measurement properties in terms of reliability, factorial validity and discriminative properties.

Occurrence of mood disorders among educationally active older adults in Bialystok, Poland: a cross-sectional study

BACKGROUND

Mood disorders in older people are an increasingly serious health and social problem, and their prevalence increases with age. The most common mood disorders are bipolar disorder, which is the occurrence of mania and hypomania, and depressive disorders. The aim of this study was to determine the prevalence of mood disorders in a group of educationally active elderly people living in Bialystok, Poland.

METHODS

The study included a total of 162 people-residents of Bialystok-aged 60 or older; 135 women (83.33%) and 27 men (16.67%). The study used five standardized psychometric scales: The Mood Disorder Questionnaire (MDQ), Hypomania Check List (HCL-32), Geriatric Depression Scale (GDS) and The Zung Self-Rating Depression Scale (Zung SDS).

RESULTS

Nearly 90.00% of the respondents obtained GDS scores indicating the presence of mild depressive symptoms; however, on the Zung SDS, which also evaluates depression symptom levels, the result obtained in almost the same number of respondents showed an absence of these symptoms. A similar percentage of respondents also obtained values on the MDQ that allow to determine a lack of bipolar disorder characteristics in the studied population. Over half of the respondents (58.02%) did not show symptoms of hypomania using the HCL-32. There was a significant correlation between the results of the GDS and Zung SDS, the HCL-32 and MDQ, as well as the HCL-32 and Zung SDS in the total studied group.

CONCLUSIONS

Mood disorders, particularly depression, constitute a significant social and health problem in the group of educationally active older adults living in Bialystok. In light of the obtained research results, it is recommended to conduct and improve already realized health education programs for the elderly on the subject of mood disorder prevention and their impact on quality of life. There is a need for further research on mood disorders in the elderly to determine their prevalence on a national scale.

Screening for Bipolar Disorder and Finding Borderline Personality Disorder: A Replication and Extension

The authors' group previously reported that patients who screened positive on the Mood Disorders Questionnaire (MDQ), the most frequently studied screening scale for bipolar disorder, were as likely to be diagnosed with borderline personality disorder (BPD) as with bipolar disorder. A limitation of that study was that the authors examined the performance of the MDQ in patients presenting for various psychiatric disorders, including depression. The recognition of bipolar disorder and its differential diagnosis with BPD is of greatest clinical relevance in depressed patients. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, the authors attempted to replicate their initial findings in a new sample of psychiatric outpatients, and they also examined the performance of the MDQ in depressed patients. The results of the present study were consistent with the original report, thereby indicating that the MDQ is not effective in helping distinguish bipolar disorder from BPD.

Screening for psychiatric disorders with self-administered questionnaires

Given the time demands of clinical practice it is not surprising that diagnoses are sometimes missed. To improve diagnostic recognition, self-administered screening scales have been recommended. A problem with much of the research effort on screening scales is the confusion between diagnostic testing and screening. It is important for a screening test to have high sensitivity because the more time intensive/expensive follow-up diagnostic inquiry will presumably only occur in patients who are positive on the initial screen. Investigators vary in how they analyze their data in determining the recommended cutoff score on a self-administered screening questionnaire. To illustrate this, in the present report we examined how often each of the different approaches towards determining a cutoff score on bipolar disorder screening scales were used. We reviewed 68 reports of the performance of the 3 most commonly researched bipolar disorder screening scales to determine how the recommended cutoff on the scale was derived. Most studies recommended a cutoff point on the screening scale that optimized the level of agreement with the diagnostic gold standard. Only 11 (16.2%) studies recommended a cutoff that prioritized the scale's sensitivity. It is important for clinicians to understand the difference between screening and diagnostic tests. The results of the present study indicate that most studies of the performance of the 3 most commonly studied bipolar disorder screening measures have taken the wrong approach in deriving the cutoff score on the scale for the purpose of screening.

Factors associated with false positives in MDQ screening for bipolar disorder: Insight into the construct validity of the scale

BACKGROUND

Identifying bipolar patients in the first phases of the illness is essential to establish adequate treatment. The goal of this study was to examine the discriminant ability of the Mood Disorders Questionnaire (MDQ) in recognizing bipolar patients referred to a tertiary care structure.

METHODS

Between 2006 and 2012, we assessed 843 individuals referred to the Mood Disorders Program by family physicians in the community. The Structured Clinical Interview for DSM-IV-TR (SCID) was used to assess diagnoses. A nurse collected the information about lifetime symptoms of (hypo)mania in 759 individuals using the MDQ. Univariate chi-square test and logistic regression were used for the statistical analysis.

RESULTS

Overall, 86% of the sample had a current anxiety or depressive disorder. When compared to the diagnoses formulated through the SCID, the sensitivity of the MDQ was 75.0%, the specificity was 74%, the positive predictive value was 55%, and the negative predictive value was 88%. Among non-bipolar patients, current post-traumatic stress disorder, borderline personality disorder, current or early remission substance use disorder, and the history of childhood abuse were independently associated with false positive screening using the MDQ.

LIMITATIONS

Individuals with current substance use disorders were under-represented, whether or not the patients were aware of their diagnosis of bipolar disorder was not recorded, and the history of childhood abuse was collected based on an open interview.

CONCLUSIONS

The self-rated measure of the symptoms listed by the MDQ seems to measure a dimension shared by both bipolar disorder and other conditions characterized by affective instability and impulsivity.

Screening for bipolar disorders: A public health issue

INTRODUCTION

Bipolar disorder (BD) is a public health issue; it is one of the leading causes of disability and its late diagnosis heightens the impact of the condition. Screening tools for early detection could be extremely useful.

METHODS

Narrative review on screening of BD.

RESULTS

Screening questionnaires have high sensitivity but relatively low specificity if DSM diagnoses are taken as the "gold standard". Critics maintain that an excess of false positives makes such tools unnecessary for identifying cases and of little use in screening studies consisting of two phases. However, "positive" screening was frequently homogeneous with BD in terms of gender, age, level of distress, low social functioning and employment rate, comorbidity with alcohol and substance abuse, heavy recourse to health care, use of mood stabilizers and antidepressants, risk of suicide attempts, and high recurrence of depressive episodes. While none of these components is pathognomonic of BD, their co-occurrence could identify subthreshold "cases". The studies reviewed found positivity at screening to be associated with impaired quality of life, even without BD and independently of comorbidity. Patients with a neurological disease and positive at screening show homogenous brain lesions, different from those of patients screening negative.

CONCLUSIONS

The results are coherent with the hypothesis that positivity identifies a bipolar spectrum of clinical and public health interest, including sub-threshold bipolar cases, which do not fulfil the diagnostic criteria for BD.

Integrating Different Factorial Solutions of a Psychometric Tool Via Social Network Analysis

Abstract. Evaluating the factorial structure of a psychometric test is crucial to capture the complexity of a psychological phenomenon. Indeed, for the same test, several studies may find different factorial solutions which, in turn, may be explained by within and/or between sample variability. In this paper we introduce a novel quantitative approach to combine different factorial solutions of the same test. We propose to use a method based on Social Network Analysis to create and statistically evaluate an integrated factorial structure based on the information provided by previous researches. We present an application to the Mood Disorder Questionnaire by considering different factorial structures reported in the literature. The integrated factorial solution indicates the presence of three factors supporting the multidimensionality of the test. The role of single items in the composition of factors is also evaluated and discussed in terms of differences and similarities between the five original studies and the new integrated model. From an applied perspective, our approach may be useful to assist researchers in summarizing different factorial solutions for the same test efficiently. Furthermore, the resulting integrated factor solution could serve as baseline model to validate the structure of the test by applying confirmatory factor techniques to new data.

Does Mood Disorder Questionnaire identify sub-threshold bipolarity? Evidence studying worsening of quality of life

OBJECTIVE

It is debated whether the Mood Disorder Questionnaire (MDQ) can generate false positives by screening other disorders as bipolar, or identify sub-threshold bipolarity. The aim is to verify if Quality of Life (QoL) impairment in MQD positives in the community is due to MDQ positivity itself, or to psychiatric diagnosis associated with MDQ positivity (supporting the former hypothesis).

METHOD

Community survey. Sample randomized after stratification of the adult population in the records of seven Italian regions.

TOOLS

MDQ; Short Form Health Survey (SF-12); semi-structured clinical interview carried out by clinicians.

RESULTS

Positives at MDQ show worsening QoL with an attributable burden of 2.8 ± 1.8 lower than in MDD (5.6 ± 3.6, p < 0.001) or Eating Disorders (4.4 ± 6.6, p < 0.03) and similar to Panic Disorder (2.9 ± 0.9, p = 0.44). The burden is lower in the middle-aged (25-59 years) than in the young (18-24) (4.65 ± 4.5 vs 2.58 ± 2.0, p=0.007) or in the elderly (≥60) (4.12 ± 3.2; p = 0.024). In the elderly the burden is independent from comorbid psychiatric disorders.

LIMITATIONS

This is a preliminary study based on one survey not designed to test this specific hypothesis, thus its results have a heuristic value only.

CONCLUSIONS

The worsening of QoL due to positivity at MDQ is largely independent from comorbid conditions, supporting the hypothesis that MDQ positivity identifies a specific area of suffering that is "subthreshold" to the psychiatric diagnosis, and relevant for public health.

Homogeneous magnetic resonance imaging of brain abnormalities in bipolar spectrum disorders comorbid with Wilson's disease

BACKGROUND

The purpose was to determine if brain damage in Wilson's disease (WD) is different in comorbid bipolar spectrum disorders (BDs), comorbid major depressive disorder (MDD) or without any mood disorders.

METHODS

An observational study was conducted on consecutive patients from a center for WD care. The study sample was divided by psychiatric assessment into WD without any mood disorders, WD with BDs and WD with MDD negative at Mood Disorder Questionnaire (MDQ).

RESULTS

Thirty-eight WD patients were recruited (53.2% females): 21 without mood disorders (55.2%), 9 with comorbid BDs (26.7%) and 8 with MDD without MDQ+ (21.1%). The BDs showed a higher frequency of brain damage, reaching statistically significant differences in the basal ganglia (P<.001), in the overall brain (P<.003) and at the limit in the white matter (P<.05).

CONCLUSIONS

In WD, comorbidity with BDs is associated with earlier evidence of brain damage, especially in the basal ganglia. The results confirm the importance of screening and early diagnosis of BDs in WD. Future follow-up studies on large samples are required to confirm if detection of BDs may be an early marker of brain damage and if a good therapeutic response in BDs may improve the prognosis of WD.

The status of screening measures for bipolar disorder

PURPOSE OF REVIEW

Screening measures for bipolar disorder are positioned as playing an important role in improving diagnostic accuracy. This review considers the principal screening measures developed over the past decade.

RECENT FINDINGS

Although the development and evaluation of bipolar screening measures were distinct between 2000 and 2010, there has been a decrease in research and evaluation in recent years. This article considers the main impetus for the development of screening measures for bipolar disorder and provides a description and critique of the principal measures used in both clinical and community settings.

SUMMARY

Screening measures have an important role in identifying bipolar disorder but are best positioned as a first-stage strategy rather than as definitive diagnostic measures. Although several have been developed and well validated in clinical settings, there is a distinct need for extension studies exploring their classificatory properties in community settings as well as clinical impact studies to determine their 'real world' utility.

Evaluation of Mood Disorder Questionnaire (MDQ) in patients with mood disorders: a multicenter trial across China

Background

The aim of this study was to test the ability of the Chinese version of the Mood Disorder Questionnaire (MDQ) to identify Bipolar Disorders (BD) in patients diagnosed with Major Depressive Disorder (MDD) or Unipolar Disorder (UD) in the clinical setting.

Methods

1,487 being treated for MDD or UD at 12 mental health centers across China, completed the MDQ and subsequently examined by the Mini International Neuropsychiatric Interview (MINI). Receiver Operating Characteristic(ROC) curves were used to determine the ability of the MDQ to differentiate between BD (BD, BD-I and BD-II) and MDD or UD and patients with BD-I from patients with BD-II.

Results

Of the 1,487 patients, 309 (20.8%) satisfied the DSM-IV criteria for BD: 118 (7.9%) for BD-I and 191 (12.8%) for BD-II. When only part one of the MDQ was used, the best cutoff was 7 between BD and UD (sensitivity 0.66, specificity 0.88, positive predictive value 0.59, negative predictive value 0.91), 6 between BD-II and UD, and 10 between BD-I and BD-II. If all three parts of the MDQ were used, the MDQ could not distinguish between BD and UD at a cutoff of 7 (or 6), and the sensitivity was only 0.22 (or 0.24).

Conclusion

The Chinese version of the MDQ had good psychometric features in screening bipolar disorders from depressive patients with mood disorders when part two and part three of the MDQ were ignored.

Misdiagnosed hypomanic symptoms in patients with treatment-resistant major depressive disorder in Italy: results from the improve study

Background:Undiagnosed and therefore inadequately treated hypomanic symptoms may be a leading cause of drug resistance in depression diagnosed as unipolar (major depressive disorder, MDD). The purpose of the IMPROVE study was to identify the rate of misdiagnoses in patients with treatment-resistant MDD by screening for the presence of previous hypomanic episodes, and to study the characteristics of those patients with a positive history of hypomania. Methods:Patients attending 29 psychiatric units throughout Italy with a diagnosis of MDD who were resistant to anti-depressant treatment were included in this multicentre, observational single visit study. The Hypomania Checklist 32 (HCL-32) was administered to detect underlying bipolarity. Results: Among the 466 enrolled patients, 256 (57.40%) were positive at screening for a previous hypomanic episode (HCL-32 ≥12), therefore suggesting a misdiagnosis. These patients scored higher than those with a negative history in both the “active/elated hypomania” (11.27±3.11 vs 3.57±3.05; P<0.0001) and “irritable/risk-taking hypomania” (2.87±2.03 vs 2.06±1.73; P<0.001) HCL-32 sub-scales. Patients with a positive history of hypomania were younger, had a higher number of previous depressive episodes and a higher frequency of comorbid conditions compared to those with a negative history. Conclusions:This study suggests that screening for hypomania in MDD-resistant patients facilitates identification of a notable proportion of undiagnosed cases of bipolar spectrum disorder. Patients with a positive history of hypomania at screening had a demographic/clinical bipolar-like profile that included young age, higher number of previous depressive episodes and higher frequency of comorbid conditions. They also had both higher active and irritable hypomania symptom scores.

Validation of the Russian version of the Hypomania Checklist (HCL-32) for the detection of Bipolar II disorder in patients with a current diagnosis of recurrent depression

BACKGROUND

There are no validated screening tools for Bipolar Disorder (BD) in Russia.

OBJECTIVE

To validate the Russian version of the HCL-32 for the detection of Bipolar II disorder (BD II) in patients with Recurrent Depressive Disorder (RDD).

METHODS

409 patients with a current diagnosis of RDD were recruited. The diagnosis was confirmed by the validated Russian version of the Mini International Neuropsychiatric Interview (MINI). Another investigator interviewed the patients using the НСL-32 questions.

RESULTS

The total HCL-32 score in patients with BD II was significantly higher than in patients with RDD: 18.2 (4.22) versus 10.85 (5.81) (p<0.001, d=1447). At the cut-off 14 points the sensitivity was 83.7%, specificity 71.9% (p<0.001). The Cronbach's alpha was 0.887 that means good internal consistency. The best discrimination was achieved with 8 items: decreased need for sleep, less shyness or inhibition, talkativeness, more jokes and puns, jumping thoughts distractibility, exhausting or irritating others and high and more optimistic mood. We proposed the reduced variant of the scale, that includes only these 8 variables, with sensitivity 90.5%, specificity 69.8% (AUC=0.88).

CONCLUSIONS

The Russian version of the HCL-32 displayed a good ratio of sensitivity to specificity and can be recommended as a validated screening instrument. An 8-item version of HCL needs further research.

LIMITATIONS

Limitations include the specific nature of the sample, the HCL-32 assessment carried out by a psychiatrist, no comparison with other BD screening scales. The results of the 8-item version may be sample and culture dependent.

Comparing factor structure of the Mood Disorder Questionnaire (MDQ): In Italy sexual behavior is euphoric but in Asia mysterious and forbidden

BACKGROUND

The introduction of screening questionnaires, such as the Mood Disorder Questionnaire (MDQ), has stimulated clinical and epidemiological studies on bipolar disorders. In this work, we studied the item response pattern of the MDQ in the Italian population and compared the results with those of the validation of the MDQ in Asian studies (Chinese and Korean), analyzing similarities and differences among the populations studied.

METHODS

The sample was made up of 2278 participants, distributed as follows: 56.6% females, 50.8% living in the north-central Italy, and 33.7% living in rural areas. The factor analysis was run on the matrix of tetrachoric correlations. The psychometric properties of the MDQ were also studied using the Rasch logistic model.

RESULTS

The parallel analysis found two significant components. The first includes symptoms referring to acceleration, danger and irritability as risky behaviors, social interaction problems and mental flow. The second includes symptoms referring to self-confidence and energy. With respect to the Korean/Chinese results, the Italian sample, item 11 ("much more sex"), appears related to self-confidence and energy, while in Asia it is connected with items expressing risky behaviors and irritability.

LIMITATIONS

Differences in the frequency of comorbid disorders in Asian and Italian populations should be considered. The results should be confirmed and compared with those of other populations.

CONCLUSIONS

Cultural differences appear to be associated with a different symptomatic expression of bipolar spectrum disorders. Future research will investigate the role of gene-environment interaction in the genesis of these differences.

The prevalence of bipolar disorder in primary care patients with depression or other psychiatric complaints: a systematic review

BACKGROUND

Bipolar disorder prevalence in primary care patients with depression or other psychiatric complaints has been measured in several studies but has not been systematically reviewed.

OBJECTIVE

To systematically review studies measuring bipolar disorder prevalence in primary care patients with depression or other psychiatric complaints.

METHODS

We conducted a systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method in January 2013. We searched 7 databases using a comprehensive list of search terms. Included articles had a sample size of 200 patients or more and assessed bipolar disorder using a structured clinical interview or bipolar screening questionnaire in adult primary care patients with a prior diagnosis of depression or had an alternate psychiatric complaint.

RESULTS

Our search yielded 5595 unique records. Seven cross-sectional studies met our inclusion criteria. The percentage of primary care patients with bipolar disorder was measured in 4 studies of patients with depression, 1 study of patients with trauma exposure, 1 study of patients with any psychiatric complaint, and 1 study of patients with medically unexplained symptoms. The percentage of patients with bipolar disorder ranged from 3.4%-9% in studies using structured clinical interviews and from 20.9%-30.8% in studies using screening measures.

CONCLUSIONS

Bipolar disorder likely occurs in 3%-9% of primary care patients with depression, a trauma exposure, medically unexplained symptoms, or a psychiatric complaint. Screening measures used for bipolar disorder detection overestimate the occurrence of bipolar disorder in primary care owing to false positives.

Composite International Diagnostic Interview screening scales for DSM-IV anxiety and mood disorders

BACKGROUND

Lack of coordination between screening studies for common mental disorders in primary care and community epidemiological samples impedes progress in clinical epidemiology. Short screening scales based on the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI), the diagnostic interview used in community epidemiological surveys throughout the world, were developed to address this problem.

METHOD

Expert reviews and cognitive interviews generated CIDI screening scale (CIDI-SC) item pools for 30-day DSM-IV-TR major depressive episode (MDE), generalized anxiety disorder (GAD), panic disorder (PD) and bipolar disorder (BPD). These items were administered to 3058 unselected patients in 29 US primary care offices. Blinded SCID clinical reinterviews were administered to 206 of these patients, oversampling screened positives.

RESULTS

Stepwise regression selected optimal screening items to predict clinical diagnoses. Excellent concordance [area under the receiver operating characteristic curve (AUC)] was found between continuous CIDI-SC and DSM-IV/SCID diagnoses of 30-day MDE (0.93), GAD (0.88), PD (0.90) and BPD (0.97), with only 9-38 questions needed to administer all scales. CIDI-SC versus SCID prevalence differences are insignificant at the optimal CIDI-SC diagnostic thresholds (χ2 1 = 0.0-2.9, p = 0.09-0.94). Individual-level diagnostic concordance at these thresholds is substantial (AUC 0.81-0.86, sensitivity 68.0-80.2%, specificity 90.1-98.8%). Likelihood ratio positive (LR+) exceeds 10 and LR- is 0.1 or less at informative thresholds for all diagnoses.

CONCLUSIONS

CIDI-SC operating characteristics are equivalent (MDE, GAD) or superior (PD, BPD) to those of the best alternative screening scales. CIDI-SC results can be compared directly to general population CIDI survey results or used to target and streamline second-stage CIDIs.

MDQ positive people's searching for effective and ineffective treatments for bipolar disorders: a screening study in France

INTRODUCTION

The objective was to estimate the rate of subjects who tested positive at a screening for bipolar disorders among the people insured by a French Health Company, and subsequently to measure treatment patterns.

METHODS

Cross-sectional postal survey on the "Mutuelle Générale de l'Education Nationale" (MGEN) policyholders. A self-rated questionnaire was sent by mail to 20,099 individuals randomly selected among MGEN policyholders. Tools: questionnaire on socio-demographic variables and health-care use; Mood Disorder Questionnaire (MDQ); Composite International Diagnostic Interview Short Form Self-Administered (CIDI-SA).

RESULTS

Responders were 10,288 (53%). The prevalence of MDQ positivity (MDQ(+)) was 3.6%. The respondents older than 65 showed the lowest frequencies. High frequencies were recorded by the people who had left work because of long term sickness and by people with invalidity. Subjects having a diagnosis of ICD-10 major depression were found to be at risk. Positive subjects had no more contacts with general practitioners than negative subjects; on the contrary they had more contacts with psychiatrists, alternative medicine professionals, psychologists, psychoanalysts, spiritual guides or welfare workers. MDQ+ subjects had a higher risk to use all kinds of psychodrugs, including antidepressants (27.7%, OR=2.7, CI95% 1.9-3.9).

DISCUSSION

The prevalence of MDQ(+) was similar to the surveys in the USA and Italy. The use of ADs in people with MDQ(+) and MDD diagnosis needs to be taken into account when managing the public health-care system. A large rate of positive subjects reported to have used ineffective treatments for bipolar disorders.

LIMITS

Relative low response rate and observational design.

Usefulness of the combined application of the Mood Disorder Questionnaire and Bipolar Spectrum Diagnostic Scale in screening for bipolar disorder

OBJECTIVE

This study aimed to examine whether combined application of the Mood Disorder Questionnaire (MDQ) and Bipolar Spectrum Diagnostic Scale (BSDS) is more effective than exclusive application of either tool in screening for bipolar disorder (BD).

METHOD

The MDQ and BSDS were completed by a total of 113 patients diagnosed with BD and major depressive disorder who were experiencing a current major depressive episode. The initial diagnosis of the subject was confirmed during a 1-year follow-up period. When each MDQ and BSDS optimal cutoff score was calculated, a modified scoring method for the MDQ that considered only one item was used to increase its performance in this population. The following three combinations of the cutoff scores for the two tools were used to screen for BD: (A) The score on either the MDQ or BSDS was greater than or equal to the cutoff score; (B) the scores on both the MDQ and BSDS were greater than or equal to the cutoff score; and (C) Reducing either cutoff score by 1 point resulted in the MDQ and BSDS scores being greater than or equal to the cutoff score. The sensitivity, specificity, positive predictive value, and negative predictive value of the three methods, the MDQ, and the BSDS were compared for screening BD.

RESULTS

The sensitivity and specificity of the MDQ were 0.741 and 0.844, respectively, and those for the BSDS were 0.731 and 0.742, respectively. These indicators for the combined application of the MDQ and BSDS were as follows, respectively: method A 0.901 and 0.688, method B 0.580 and 0.875, and method C 0.691 and 0.844. Method A was superior to using one measure alone as well as to methods B and C with regard to sensitivity and negative predictive values. Method A also showed a higher sensitivity for BD subtypes than did the individual tools. Compared with the use of individual instruments, method A showed a similar positive predictive value.

CONCLUSION

This study suggests that combined use of the MDQ and BSDS is more effective than the individual use of either of these measures in screening for BD. The data also showed that when both tools were used, the most effective interpretation of the results in terms of screening for BD was achieved when positive scores were defined as those that were equal to or greater than the cutoff for the MDQ or BSDS.

A diagnostic profile of those who return a false positive assignment on bipolar screening measures

OBJECTIVES

Our aim was to identify the diagnostic profile of patients classified as 'false positives' on two bipolar screening measures; the Mood Swings Questionnaire (MSQ) and the Mood Disorders Questionnaire (MDQ).

METHODS

A total of 1534 patients attending the Black Dog Institute Depression Clinic completed the MSQ-46, and a smaller subset of 852 completed the MDQ. All patients underwent clinical assessment by one or more Institute psychiatrists.

RESULTS

Using clinical assignment (i.e. bipolar vs. unipolar) as the criterion measure for assessing the screening measures, the overall agreement rates were 84% for the MSQ-46 and 74% for the MDQ. Patients identified as 'false positives' were most likely to be clinically diagnosed as having a unipolar non-melancholic depression (37% for MSQ-46; 46% for MDQ), or a primary anxiety condition with secondary non-melancholic depression (19% for MSQ-46; 15% for MDQ). In addition, within the unipolar non-melancholic group, 46% of the MSQ-46 assigned false positives and 63% of the MDQ assigned false positives had co-morbid anxiety conditions.

CONCLUSIONS

These findings suggest that patients with anxiety conditions account for a significant proportion of false positive diagnoses on bipolar screening tests - a finding that should be conceded in the development and refinement of such screening measures and in clinical assessment of the possibility of a bipolar disorder.

Mania: diagnosis and treatment recommendations

This article provides recommendations for the diagnosis and treatment of mania, which characterizes bipolar I disorder (BD I). Failure to detect mania leads to misdiagnosis and suboptimal treatment. To diagnose mania, clinicians should include a detailed mood history within their assessment of patients presenting with depression, agitation, psychosis or insomnia. With regards to treatment, by synthesizing the findings from recent treatment guidelines, and reviewing relevant literature, this paper has distilled recommendations for both acute and long-term management. Antimanic agents including atypical antipsychotics and traditional mood stabilizers are employed to reduce acute manic symptoms, augmented by benzodiazepines if needed, and in refractory or severe cases with behavioural and/or psychotic disturbance, electroconvulsive therapy may occasionally be necessary. Maintenance/prophylaxis therapy aims to reduce recurrences/relapse, for which the combination of psychological interventions with pharmacotherapy is beneficial as it ensures adherence and monitoring of tolerability.

Screening for bipolar disorders in patients with alcohol or substance use disorders: performance of the mood disorder questionnaire

BACKGROUND

Screening properties of the mood disorder questionnaire (MDQ) to detect bipolar disorder (BD) in patients with substance use disorders are unknown.

METHODS

403 treatment seeking patients with a substance use disorder completed the MDQ and subsequently 111 MDQ positives and 59 MDQ negatives were assessed with the Structured Clinical Interview for DSM-IV to diagnose BD. In addition, given the overlap with BD symptoms, the presence of borderline personality disorder (BPD), antisocial personality disorder (APD) and attention deficit/hyperactivity disorder (ADHD), were assessed using the Diagnostic Interview Schedule and the Structured Interview for DSM-IV Personality.

RESULTS

Of the 170 patients with a SCID interview, 35 patients (20.6%) met criteria for a lifetime diagnosis of BD. Twenty-three patients (62.8%) with BD had a positive MDQ score and 47 of the 135 patients (34.8%) without BD had a negative MDQ score resulting in a weighted sensitivity of .43, a weighted specificity of .57, a positive predictive value of .21, a negative predictive value (NPV) of .80 and an area under the curve of .50. The area under the curve of the MDQ to detect BPD, APD, ADHD and any externalizing disorder ranged from .55 (APD) to .63 (ADHD).

CONCLUSIONS

The MDQ is not a suitable screening instrument for the detection of BD or other externalizing disorders but it could be used for ruling out the presence of BD in treatment seeking substance use disorder patients.

Bipolar II disorder in rural New South Wales

OBJECTIVE

To determine the frequency with which bipolar II disorder (BD II) was diagnosed in clinics held in four rural towns in New South Wales (NSW).

METHOD

A retrospective case file audit was conducted for patients referred for psychiatric assessment and treatment in four towns in rural NSW over a period of two years and nine months.

RESULTS

Of 559 patients seen for the first time during the study period, 113 (20.2%) were diagnosed with BD II, and of these this diagnosis was made for the first time in 69 patients (61%). Associated clinical findings in BD II patients are presented and a comparison is made with patients with non-bipolar depression seen during the same period.

CONCLUSION

BD II was commonly seen in these rural clinics, and appears to be often under-diagnosed in general practice, as has been found to be the case in urban centres. This is seen as a serious public health problem, which needs to be addressed by educational steps directed at general practitioners (GPs), mental health clinicians, and perhaps also the general public.

Misuse of the Mood Disorders Questionnaire as a case-finding measure and a critique of the concept of using a screening scale for bipolar disorder in psychiatric practice

OBJECTIVES

Under-recognition of bipolar disorder (BD) is common and incurs significant costs for individuals and society. Clinicians are often encouraged to use screening instruments to help them identify patients with the disorder. The Mood Disorder Questionnaire (MDQ) is the most widely studied measure for this purpose. Some studies, however, have used the MDQ as a case-finding instrument rather than a screening scale. Such inappropriate use of screening scales risks distorting perceptions about many facets of BD, from its prevalence to its consequences.

METHODS

Studies using the MDQ were reviewed to identify those reports that have used the scale as a case-finding measure rather than a screening scale.

RESULTS

Multiple studies were identified in the BD literature that used the MDQ as a diagnostic proxy. The findings of these studies were misinterpreted because of the failure to make the distinction between screening and case-finding.

CONCLUSIONS

Inappropriate conclusions have been drawn regarding the prevalence, morbidity, and diagnostic under-recognition of BD in studies that rely on the MDQ as a diagnostic proxy. A conceptual critique is offered against the use of self-administered screening questionnaires for the detection of BD in psychiatric settings.

Does testing for bimodality clarify whether the bipolar disorders are categorically or dimensionally different to unipolar depressive disorders?

BACKGROUND

It has been held that if bipolar disorder is categorically distinct, it should differentiate from unipolar depressive disorders by showing bimodality or a 'zone of rarity' in bipolar symptom scores. Two previous studies have failed to demonstrate bimodality. We undertook a third study.

METHODS

A total of 1106 patients attending the Black Dog Institute Depression Clinic completed the Mood Disorders Questionnaire (MDQ), in addition to undergoing clinical assessment by an Institute psychiatrist.

RESULTS

The distributions of scores for the total number of hypomanic symptoms endorsed by unipolar and bipolar patients were both skewed, with the bipolar group endorsing a high number of hypomanic symptoms and the unipolar group endorsing few symptoms--and so giving the impression of an 'even' distribution generated by two quite distinctly differing sub-groups. However, formal statistical analyses involving mixed modelling provided no clear evidence that a bimodal distribution provided a better fit to the data than a unimodal one.

CONCLUSIONS

Failure to statistically demonstrate a 'point of rarity' did not marry with visual inspection of the plotted data--which clearly suggested two groups putatively capturing those with bipolar and unipolar disorders respectively. The paper considers some limitations to the emphasis on 'bimodality' in differentiating potentially differing conditions.

The lifetime prevalence of bipolar disorders and the use of antidepressant drugs in bipolar depression in Italy

BACKGROUND

The prevalence of bipolar spectrum disorders in the community is under debate and the prescription of antidepressant drugs (ADs) in bipolar depression appears to be an underestimated problem.

OBJECTIVES

To evaluate the prevalence of bipolar disorders by means of a screening instrument in seven communities within six regions of Italy and evaluate the appropriateness and number of prescriptions for ADs in bipolar depression.

STUDY DESIGN

community survey.

STUDY POPULATION

samples randomly drawn, after stratification from the adult population of municipal records.

SAMPLE SIZE

4999 people from seven communities within six regions of Italy. Tools: questionnaire on psychotropic drug consumption, prescription, health services utilization; Structured Clinical Interview NP for DSM-IV modified (ANTAS); Mood Disorder Questionnaire (MDQ). Training: interviewers were trained psychologists or medical doctors.

STUDY LIMITATIONS

the population studied did not represent a nationally representative multistage clustered area probability sample of households.

RESULTS

3398 subjects were interviewed (68% of recruited sample). Positivity at MDQ (MDQ+) was higher in males (3.4% vs. 2.8%) but the difference was not significant (OR=1.2, P=0.37). The association between MDQ+ and Major Depressive Disorder (MDD) was statistically significant for both males (OR=14.9, P<0.0001) and females (OR=8.3, P<0.001); 30% of subjects with MDQ+ and MDD lifetime diagnosis were taking ADs.

CONCLUSIONS

These overall rates of being MDQ+ are similar to community surveys conducted within USA and the use of ADs in people with MDQ+ and MDD diagnoses are.

Are screening scales for bipolar disorder good enough to be used in clinical practice?

Bipolar disorder is often underdiagnosed. Recommendations for improving the detection of bipolar disorder include the use of screening questionnaires. The most widely studied screening scale is the Mood Disorders Questionnaire (MDQ). Studies of the performance of the MDQ in heterogeneous samples of psychiatric outpatients presenting for treatment have raised concerns about the adequacy of the MDQ as a screening measure because of its relatively low sensitivity. The sensitivity of a scale is not an inherent property of the instrument but depends on the threshold used to identify positive cases. Prior studies used the scoring recommendations of the developers of the MDQ to examine its performance; none examined the performance of the scale across the range of cutoff scores to determine whether a lower threshold would be more appropriate for the purposes of screening. The goal of the present study was to examine the operating characteristics of the MDQ at all cutoff scores to determine the cutoff point that would be appropriate for the purpose of screening. Seven hundred fifty-two psychiatric outpatients were interviewed with the Structured Clinical Interview for DSM-IV, and completed the MDQ. When MDQ caseness was based only on symptom score without regard to level of impairment, the cutoff score associated with at least 90% sensitivity was 5. At this cutoff the specificity of the MDQ was 60.7%, and its positive predictive value was 22.1%. These findings indicate that when the cutoff to identify cases on the MDQ was set to achieve a desired level of sensitivity as a screening instrument most cases screening positive on the scale did not have bipolar disorder. Low positive predictive value does not support the use of the MDQ or any bipolar disorder screening scale in psychiatric clinical practice.

Sub-threshold depression and antidepressants use in a community sample: searching anxiety and finding bipolar disorder

BACKGROUND

To determine the use of antidepressants (ADs) in people with sub-threshold depression (SD); the lifetime prevalence of mania and hypomania in SD and the link between ADs use, bipolarity and anxiety disorders in SD.

STUDY DESIGN

community survey.

STUDY POPULATION

samples randomly drawn, after stratification from the adult population of municipal records.

SAMPLE SIZE

4999 people from seven areas within six Italian regions. Tools: Questionnaire on psychotropic drug consumption, prescription; Structured Clinical Interview NP for DSM-IV modified (ANTAS); Hamilton Depression Rating Scale (HAM-D); Mood Disorder Questionnaire (MDQ); Short Form Health Survey (SF-12). SD definition: HAM-D > 10 without lifetime diagnosis of Depressive Episode (DE).

RESULTS

SD point prevalence is 5.0%. The lifetime prevalence of mania and hypomania episodes in SD is 7.3%. Benzodiazepines (BDZ) consumption in SD is 24.1%, followed by ADs (19.7%). In SD, positive for MDQ and comorbidity with Panic Disorder (PD) or Generalized Anxiety Disorders (GAD) are associated with ADs use, whereas the association between a positive MDQ and ADs use, without a diagnosis of PD or GAD, is not significant. Only in people with DE the well-being (SF-12) is higher among those using first-line antidepressants compared to those not using any medication. In people with SD no significant differences were found in terms of SF-12 score according to drug use.

CONCLUSIONS

This study suggests caution in prescribing ADs to people with SD. In people with concomitant anxiety disorders and SD, it should be mandatory to perform a well-designed assessment and evaluate the presence of previous manic or hypomanic symptoms prior to prescribing ADs.

Screening for bipolar disorder among outpatients with substance use disorders

Background

Comorbidity of bipolar disorder and alcohol or substance abuse/dependence is frequent and has marked negative consequences on the course of the illness and treatment compliance. The objective of this study was to compare the validity of two short instruments aimed at screening bipolar disorders among patients treated for substance use disorders.

Methods

The Mood Disorder Questionnaire (MDQ) and the Hypomania Checklist-32 (HCL-32) were tested with reference to the mood section of the Structured Clinical Interview for DSM-IV axis I disorders (SCID) in 152 patients, recruited in two outpatient clinics providing specialized treatment for alcohol and opiate dependence.

Results

According to the SCID, 33 patients (21.7%) had a diagnosis within the bipolar spectrum (two bipolar I, 21 bipolar II and 10 bipolar not otherwise specified). The HCL-32 was more sensitive (90.9% vs. 66.7%) and the MDQ more specific (38.7% vs. 77.3%) for the whole sample. The MDQ displayed higher sensitivity and specificity in patients treated for alcohol than for opiate dependence, whereas the HCL-32 was highly sensitive but poorly specific in both samples. Both instruments had a positive predictive value under 50%.

Conclusions

Caution is needed when using the MDQ and HCL-32 in patients treated for substance use disorders.

Screening for bipolar disorder with the Mood Disorders Questionnaire: a review

BACKGROUND

Several research reports have suggested that bipolar disorder is underrecognized. Recommendations for improving the detection of bipolar disorder include the use of screening questionnaires. The Mood Disorders Questionnaire (MDQ) has been the most widely studied screening instrument for bipolar disorder, with nearly two dozen published reports on its performance. We reviewed the literature on the MDQ's performance to assess its utility as a screening instrument.

METHODS

We conducted a Medline search on the terms Mood Disorders Questionnaire, MDQ, screening AND bipolar disorder, and recognition AND bipolar disorder. Only studies of adults were included.

RESULTS

Across all studies the sensitivity of the MDQ was 61.3%; specificity, 87.5%; positive predictive value, 58.0%; and negative predictive value, 88.9%. Compared to the studies using the MDQ for psychiatric outpatients, studies using it in the general population found it to have much lower sensitivity and positive predictive value, and higher specificity and negative predictive value. The MDQ's sensitivity was higher in detecting bipolar I disorder than bipolar II disorder (66.3% vs. 38.6%). Lowering the threshold to identify cases markedly improved the MDQ's sensitivity, with only a modest reduction in specificity. Studies of the best symptom cutoff to identify cases have produced inconsistent findings.

CONCLUSIONS

The MDQ's performance depends upon the setting in which it is used, the threshold to identify caseness, and the subtype of bipolar disorder examined. Conceptual issues in the use of a bipolar disorder screening questionnaire are discussed, and questions are raised about the clinical value of a self-report screening scale for bipolar disorder. Based on current available evidence, routine clinical use of the MDQ cannot be recommended because of the absence of studies simultaneously examining both the potential benefits (e.g., improved detection) and costs (e.g., overdiagnosis) of screening.

Attention Network Test in adults with ADHD--the impact of affective fluctuations

BACKGROUND

The Attention Network Test (ANT) generates measures of different aspects of attention/executive function. In the present study we investigated whether adults with ADHD performed different from controls on measures of accuracy, variability and vigilance as well as the control network. Secondly, we studied subgroups of adults with ADHD, expecting impairment on measures of the alerting and control networks in a subgroup with additional symptoms of affective fluctuations.

METHODS

A group of 114 adults (ADHD n = 58; controls n = 56) performed the ANT and completed the Adult ADHD Rating Scale (ASRS) and the Mood Disorder Questionnaire (MDQ). The latter was used to define affective fluctuations.

RESULTS

The sex distribution was similar in the two groups, but the ADHD group was significantly older (p = .005) and their score on a test of intellectual function (WASI) significantly lower than in the control group (p = .007). The two groups were not significantly different on measures of the three attention networks, but the ADHD group was generally less accurate (p = .001) and showed a higher variability through the task (p = .033).The significance was only retained for the accuracy measure when age and IQ scores were controlled for. Within the ADHD group, individuals reporting affective fluctuations (n = 22) were slower (p = .015) and obtained a lower score on the alerting network (p = .018) and a higher score on the conflict network (p = .023) than those without these symptoms. The significance was retained for the alerting network (p = .011), but not the conflict network (p = .061) when we controlled for the total ASRS and IQ scores.

DISCUSSION

Adults with ADHD were characterized by impairment on accuracy and variability measures calculated from the ANT. Within the ADHD group, adults reporting affective fluctuations seemed to be more alert (i.e., less impacted by alerting cues), but slower and more distracted by conflicting stimuli than the subgroup without such fluctuations. The results suggest that the two ADHD subgroups are characterized by distinct patterns of attentional problems, and that the symptoms assessed by MDQ contribute to the cognitive heterogeneity characterizing groups of individuals with ADHD.

Psychiatric diagnoses in patients who screen positive on the Mood Disorder Questionnaire: Implications for using the scale as a case-finding instrument for bipolar disorder

Bipolar disorder is prone to being overlooked because its diagnosis is more often based on retrospective report than cross-sectional assessment. Recommendations for improving the detection of bipolar disorder include the use of screening questionnaires. The Mood Disorder Questionnaire (MDQ) is the most widely studied self-report screening scale that has been developed to improve the detection of bipolar disorder. Although developed as a screening scale, the MDQ has also been used as a case-finding measure. However, studies of the MDQ in psychiatric patients have found high false positive rates, though no study has determined the psychiatric diagnoses associated with false positive results on the MDQ. The goal of the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project was to identify the psychiatric disorders associated with increased false positive rates on the MDQ. Four hundred eighty psychiatric outpatients were interviewed with the Structured Clinical Interview for DSM-IV (SCID) and completed the MDQ. After excluding the 52 patients diagnosed with a lifetime history of bipolar disorder we compared diagnostic frequencies in patients who did and did not screen positive on the MDQ. Based on the Hirschfeld et al. scoring guidelines of the MDQ, 15.2% (n=65) of the 428 nonbipolar patients screened positive on MDQ. Compared to patients who screened negative, the patients who screened positive were significantly more likely have a current and lifetime diagnosis of specific phobia, posttraumatic stress disorder, alcohol and drug use disorders, any eating disorder, any impulse control disorder, and attention deficit disorder. Results were similar using a less restrictive threshold to identify MDQ cases. That is, MDQ caseness was associated with significantly elevated rates of anxiety, impulse control, substance use, and attention deficit disorders. Studies using the MDQ as a stand-alone proxy for the diagnosis of bipolar disorder should consider whether the presence of these other forms of psychopathology could be responsible for differences between individuals who screen positive and negative on the scale.

Is the Mood Disorder Questionnaire an appropriate screening tool in detecting bipolar spectrum disorder among substance use populations?

BACKGROUND

Bipolar spectrum disorder (BSD) has been shown to be difficult to assess in general and is further complicated by the presence of substance use disorder (SUD).

OBJECTIVE

To review the specificity of the Mood Disorder Questionnaire (MDQ) in detecting BSD among substance abusers.

METHOD

A retrospective chart review was conducted using 183 SUD patients who were screened using the MDQ and later assessed by a psychiatrist specializing in BSD.

RESULTS

Among SUD patients scoring positive results on the MDQ for the presence of BSD, the BSD diagnosis could only be confirmed in 23% of the sample by an expert psychiatrist.

CONCLUSIONS

The MDQ reports low specificity in detecting BSD among SUD populations.

SCIENTIFIC SIGNIFICANCE

Physicians should question individuals on substance use behaviors if BSD is suspected due to high rates of comorbidity and diagnostic challenges.

Diagnosis and monitoring of bipolar disorder in general practice

General practitioners are often consulted for first presentations of bipolar disorder and are well placed to coordinate patient care. They can assist with early identification of bipolar disorder and monitoring for manic and depressive episodes. Delayed and incorrect diagnoses are common in bipolar disorder, and unipolar depression is a frequent misdiagnosis. Characteristics that can be used to distinguish bipolar I depression from unipolar depression (when no clear prior manic episodes are evident) include the course of illness, symptoms, mental state signs and family history. Manic episodes can be caused by poor adherence to medication, substance misuse, antidepressants and stressful events, and are often preceded by early warning signs. Early warning signs are less commonly observed for depressive episodes. Daily mood charts are useful for providing an overview of patient progress and for identifying and managing early warning signs. Families and carers can also play an active role in supporting patients with bipolar disorder.

Detecting differences in diagnostic assessment of bipolar disorder

During the past 25 years, semistructured diagnostic interviews have been the standard for diagnostic evaluations in research relying on reliable and valid psychiatric assessment and diagnosis. However, the use of semistructured interviews still requires interpretation of the diagnostic criteria and does not preclude the application of different diagnostic thresholds. The goal of this report from the Rhode Island Methods to Improve Diagnostic Assessment and Services project is to illustrate how a self-report scale can be used to detect systematic differences in the application of diagnostic criteria for bipolar disorder and to demonstrate the wide variation in how broadly different groups tend to diagnose bipolar disorder. We compared the frequency of bipolar diagnoses in 4 studies that examined the performance of mood disorders questionnaire (MDQ) with the Structured Clinical Interview for DSM-IV (SCID). We also compared the prevalence rate of MDQ cases and the ratio of SCID diagnoses with MDQ cases. The frequency of bipolar disorder in the 4 studies ranged from 10.9% to 76.2%-a 7-fold difference in prevalence rates. The frequency of MDQ-positive cases ranged from 17.8% to 31.2%, less than a 2-fold difference in prevalence rates. Thus, there was much less variability in MDQ rates than diagnosis rates. Moreover, the rank order of the prevalence of MDQ cases differed from the rank order of the prevalence of SCID diagnoses. The SCID/MDQ ratio significantly differed between the studies. These findings demonstrate how systematic differences in diagnostic practice might be detected using a self-administered scale such as the MDQ. The results also underscore that wide variation exists in the bias toward diagnosing bipolar disorder, even after controlling for differences in prevalence among samples.