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Classification of bipolar disorder in psychiatric hospital. a prospective cohort study



This study has explored the classification of bipolar disorder in psychiatric hospital. A review of the literature reveals that there is a need for studies using stringent methodological approaches.


480 first-time admitted patients to psychiatric hospital were found eligible and 271 of these gave written informed consent. The study sample was comprised of 250 patients (52%) with hospital diagnoses. For the study, expert diagnoses were given on the basis of a structured diagnostic interview (M.I.N.I.PLUS) and retrospective review of patient records.


Agreement between the expert's and the clinicians' diagnoses was estimated using Cohen's kappa statistics. 76% of the primary diagnoses given by the expert were in the affective spectrum. Agreement concerning these disorders was moderate (kappa ranging from 0.41 to 0.47). Of 58 patients with bipolar disorder, only 17 received this diagnosis in the clinic. Almost all patients with a current manic episode were classified as currently manic by the clinicians. Forty percent diagnosed as bipolar by the expert, received a diagnosis of unipolar depression by the clinician. Fifteen patients (26%) were not given a diagnosis of affective disorder at all.


Our results indicate a considerable misclassification of bipolar disorder in psychiatric hospital, mainly in patients currently depressed. The importance of correctly diagnosing bipolar disorder should be emphasized both for clinical, administrative and research purposes. The findings questions the validity of psychiatric case registers. There are potential benefits in structuring the diagnostic process better in the clinic.

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Lifetime prevalence of bipolar spectrum disorders has been found to be between 2.6% and 5% [1]. When untreated, the illness poses high risk of morbidity and mortality [2]. There is also an increased risk of suicide compared with unipolar depression [3]. Early diagnosis of bipolar disorders may significantly reduce health care costs [4]. According to Birnbaum et al. [5] and Matza et al. [6], misdiagnosed patients received inappropriate and costly treatment regimens involving suboptimal medication treatment. An increase in psychiatric inpatient hospitalization [7] and increased acute psychiatric care services [8] are reported as well as are higher indirect costs due to work loss [5]. Correctly diagnosing bipolar disorder thus should be a priority for the health care systems both for clinical, administrative and research purposes.

Since the 1960s, psychiatric case registers have been regarded as important epidemiological research tools for estimating treated incidence, prevalence and patterns of care [9]. With the development of new and better information and communication technologies, their importance is expected to increase [10, 11]. Much of the utility of a psychiatric case register, however, will depend on the validity of psychiatric diagnoses. In their review, Byrne et al. [12] conclude that relatively little high-quality work exists that systematically measures the diagnostic data validity of registers for research purposes. Almost no studies (1 out of 14) performed anything else than case note reviews to assess validity. Only two reported that the register diagnoses were blinded to the researchers and inter-rater reliability testing was performed only in three of the studies. Both studies which were blinded [13, 14] in the review by Byrne et al. [12], however, concluded that the case registers were not acceptable concerning affective disorders.

Several other studies show that bipolar affective disorder is frequently misdiagnosed [1525]. A substantial delay from symptom onset to the receipt of a bipolar diagnosis is reported [15, 18, 20, 22]. The studies dealing with misdiagnosis have either investigated patients initially presenting with depression [16, 17, 2325], or are retrospective studies on patients diagnosed with bipolar disorder [15, 1822]. Studying only patients with diagnosed depression could result in a selection bias underestimating the problem of misdiagnosing bipolar affective disorder. Recall bias is a problem in the retrospective studies.

Thus, there is a need for studies using more stringent methodological approaches to estimate the degree of misclassification. In this study a structured diagnostic interview was performed on all new patients consecutively admitted to psychiatric hospital, comparing these diagnoses with those given by the clinicians. This paper will focus on the classification of bipolar disorder as this seems to be a major challenge in the psychiatric health care system.


Design and participants

The North-Norwegian study on first-time admitted patients to psychiatric hospital (FINN-study) is a prospective cohort study on treated incidence, utilization, and outcome in a one-year period and a 12-month follow-up period. The University Hospital in Northern Norway in Tromsø, and Nordland Hospital in Bodø, participated. All admissions to psychiatric hospitals in a region with a population of about 500 000 people are administered by these two hospitals. There are 14 community mental health centers in the region. The psychiatric services in Northern Norway are fully described elsewhere [26].

Included in the study were patients between 18 and 65 years of age who had no previous admissions to the participating hospitals and who gave written informed consent to participate. Exclusion criteria were: Lack of language competency and cognitive impairment such as dementia, serious mental retardation or other mental incapacities preventing the individual from giving an informed written consent. Further, being discharged less than 3 days after admission, was an exclusion criterion due to The Regional Ethics Committee who required that a patient be given at least 24 hrs after admission to consider participation. This made comprehensive in/out interviews unfeasible for these short-stay patients. Of 674 first-time admitted patients, 477 patients were found eligible for participation. 272 patients gave their informed consent, and of these 250 patients (52%) with hospital diagnoses comprised the study sample.

Data collection

Diagnoses were assessed by means of the Mini International Neuropsychiatric Interview PLUS (M.I.N.I.PLUS) [27] Norwegian version 5.0.0 [28]. M.I.N.I. was developed in Europe and USA as a short diagnostic instrument for generating DSM-IV criteria diagnoses convertible to ICD.10 diagnoses [29]. The M.I.N.I.PLUS is an extended version of the M.I.N.I. that includes information on specific phobias and has an expanded psychosis module. The M.I.N.I.PLUS is built up of 15 modules corresponding to diagnostic categories and collects information along 23 axis-I problem areas in relation to past and current symptoms. The interviews were carried out by psychiatric nurses, psychologists, graduate students in psychology, a resident doctor and a psychiatrist. Except for the two students, all had extensive clinical experience and none had therapeutic or other relations to the patients. The interviewers underwent systematic training and consecutive reliability checks using videotaped interviews. The interview was performed as soon as possible after admission when the patient was found eligible to participate in an interview and had given written consent.

An experienced psychologist (I. Skre), who in the following will be referred to as the expert, has studied the validity and reliability of psychiatric diagnoses during two decades [30, 31]. The expert was not employed at the participating hospitals. She determined the diagnoses on the basis of the M.I.N.I. PLUS interviews and retrospective inspection of the patients' records. The expert was blind to the hospital diagnoses. First, the M.I.N.I.PLUS schedule, including notes made by the interviewer, was reviewed and scored according to the ICD-10 criteria as they appear in ICD-10 Diagnostic Criteria for Research [32]. In cases where the information given in the interview was meagre, lacking or contradictory, additional information about the patient was sought from the hospital records: (1) the referral letter applying for admission, which accompanies all admissions to psychiatric hospitals in Norway, (2) the notes written by the receiving medical doctor at the hospital, and (3) when involving an involuntary admission, the notes written by the specialist in psychiatry/psychology who did the formal evaluation. In order to keep the expert blind to the hospital diagnoses and the referring physician's tentative diagnosis, the information was extracted from the patient's file and read aloud to the expert by an assistant. The assistant was instructed to omit all material concerning diagnostic evaluations. The following information was extracted from these documents: (1) the symptoms and behaviour of the patient in the days and hours immediately prior to hospitalization, (2) the symptoms and behaviours observed and described by the receiving medical doctor and/or the specialist in psychiatry/psychology at the hospital. In some cases, when suspecting an organic mental disorder, any documentation of results from brain imaging and neuropsychological tests were used.

In accordance with the ICD-10, a diagnostic hierarchy was employed only when exclusion criteria were explicitly given in the diagnostic manual. When assigning more than one diagnosis, the diagnoses were listed in the following order: The first or primary diagnosis was always the disorder from which the behaviours or symptoms stemmed which had resulted in hospitalisation. Following the main diagnosis were additional disorders diagnosed in the patient, most often anxiety or somatoform disorders. Finally, diagnoses for harmful use of or dependence on psychoactive substances were assigned. Hospital clinicians are obliged to use the ICD-10 criteria and to make a diagnostic evaluation in the discharge letter which is routinely sent to the patient's GP. The hospital diagnosis is based on clinical interviews and observations made during the hospital stay. Interviews with relatives may be used as well as rating scales and structured interviews, but this is uncommon. The clinician's diagnoses are given in the discharge letter from the hospital. Usually, what is considered the main disorder causing hospitalization is entered first, as the primary diagnosis, and additional diagnoses, if given, are entered subsequently.

The Regional Ethics Committee of Northern Norway approved the study.


Descriptive statistics were used to present sample characteristics and the frequencies of the different diagnoses given by the clinicians as well as by the expert. Kruskall-Wallis and chi-square statistics were used to assess possible bias in the study sample. Cohen's kappa (κ) was used to estimate degree of agreement between expert and clinical diagnoses. According to the guidelines of Landis and Koch [33], a kappa agreement < .20 is poor, .21-.40 is fair, .41-.60 is moderate, .61-.80 is good and > .81 is almost perfect. SPSS 16.00 was used in the statistical analyses.


The study sample

The study sample was comprised of 250 patients. As can be seen from Table 1 the mean age was 40.4 years, 111 (44.4%) were females, 71 (28.4%) were married or cohabiting, 241 (96.4) were of Norwegian ethnicity, 74 (29.6%) had paid work, 60 (24.0%) were voluntarily admitted and the mean length of stay was 37.1 days. Participants were younger; more often had paid work, were more often voluntarily admitted and were admitted for longer lengths of stay than nonparticipants.

Table 1 Characteristics and possible biases (Kruskal-Wallis & Chi-square (X 2)) of the sample (N = 250)

Degree of agreement between expert's diagnoses and clinicians' diagnoses

The expert gave a mean of 3.4 diagnoses per patient whereas the clinicians gave only 1.4. The number of diagnoses and the agreement between clinician and expert are listed in Table 2. Two main comparisons were made: any diagnosis given by clinician and expert were compared and the diagnosis listed first by the clinician or expert (primary diagnosis) was compared.

Table 2 Frequency and degree of agreement (Cohen's kappa/κ) between expert and clinicians regarding all diagnoses and primary diagnoses only (N = 250)

Looking at all diagnoses, affective disorder (79%) was the most common main group given by the expert, and major depression (56%) was the most common specific diagnosis. Furthermore, anxiety disorders (40%) and substance use disorders (32%) were the second and third most frequently used. Only affective disorder (63%) was common among the diagnoses determined by the clinicians. Seventy-six percent of the primary diagnoses given by the expert were in the affective spectrum (F30-F39). Both the expert and the clinicians gave very few patients (about 2%) a primary diagnosis of anxiety disorder, and only a few (2%) received a primary diagnosis of substance use disorder by the expert.

The agreement between the expert and the clinicians ranged from poor to good for the different diagnostic groups. Kappa was good only for schizophrenia and substance-induced psychosis (> 0.61). Agreement concerning affective disorder (F30-F39) was moderate, both concerning the whole spectrum, major depression and bipolar disorder (kappa values ranging from 0.41 to 0.47).

Diagnoses given by the clinicians when the expert gave a bipolar disorder diagnosis

The expert gave 58 patients the diagnosis bipolar disorder (F 30-31). Of these only 17 (30%) were given a bipolar diagnosis by the clinicians. Almost all of the patients with mania (F30-F31) according to the expert were given the same diagnosis by the clinicians (8 out of 9). Only 6 (14%) of the 42 patients diagnosed with bipolar depression by the expert were given a diagnosis of bipolar depression by the clinician. Instead, 21 (50%) of them received a diagnosis of unipolar depression. Altogether, of the 58 patients, forty percent (N = 23) received a diagnosis of unipolar depression (F32-F33) instead of bipolar disorder.

Diagnosing bipolar depression correctly in the clinic was not influenced by the presence or absence of psychosis according to the expert (X 2 = 2.10, P = 0.16).

Fifteen patients (26%) were not given a diagnosis of affective disorder at all by the clinicians. Two of the patients were diagnosed with personality disorder (F60) by the clinicians, and 4 patients were given a primary diagnosis of substance use disorder (F10-F19).


76% of the primary diagnoses given by the expert were in the affective spectrum. Agreement concerning affective disorder (F30-F39) was moderate both concerning the whole spectrum, major depression and bipolar disorder. The only exception was for current mania, where clinicians correctly identified seven out of eight patients. As shown in Table 3, 16 patients (28%) of the 58 patients with a bipolar disorder did not receive an affective diagnosis (F30-F39) at all by the clinicians. This finding indicates that previous studies of patients initially presenting with depression, referred to in the Introduction, may have underestimated the problem concerning misdiagnosis of bipolar disorder. In our study, as many as 40% received a diagnosis of unipolar depression (F32-F33) instead of bipolar disorder. The most striking feature was the misdiagnosis of bipolar depression as unipolar depression (F32-F33) by the clinicians, altogether 21 patients (50%) out of 42, a finding in accordance with others [34].

Table 3 Primary diagnosesf given by the clinicians when the expert diagnosed bipolar disorder (N = 58)

The clinical consequences of underdiagnosing bipolar disorder were briefly accounted for in the introduction. Secondly, there are some potential administrative consequences of underdiagnosing bipolar disorder. Misdiagnosis can represent an undercommunication of the burden these patients constitute for the health care system and consequently give wrong indications concerning developmental strategies. Misleading medical statistics may cause spurious conclusions in planning and evaluation of treatment for patients [35].

Third, our findings indicate that register diagnoses are dubious for research purposes and this pertains especially to affective disorders, a finding which is in accordance with the two studies reviewed by Byrne et al. [12], both of which were blinded [13, 14]. Further, this is in accordance with the investigations of Baca-Garcia et al. [36, 37] who found diagnostic instability of psychiatric disorders in clinical practice. McConville et al. [14] conclude that the case register was not acceptable even as a screening instrument, for the diagnoses of neurotic or affective disorders.

The discrepancies found may be due to several unresolved controversies regarding the identification and classification of bipolar disorder, supposedly due to its heterogeneity [35]. There is an ongoing debate on the validity of the bipolar spectrum which could hamper both the adherence to and knowledge of bipolar disorders. Not asking for manic symptoms could also be due to the general phenomenon that clinicians rely on a limited number of heuristic principles that in some instances may lead to severe and systematic errors [38, 39]. We believe clinicians are more apt to use a heuristic top-down approach when they diagnose patients, i. e. not asking for other symptoms when the patient presents with depression. The expert who uses data from a structured clinical interview, however, employs a bottom-up approach in the diagnostic process, i. e. asking questions which at first seem irrelevant. The risk of misclassification is supposedly higher using the top-down diagnostic approach in that it relies on the diagnostic manual to confirm a clinical impression rather than to openly screen for alternative or additional diagnoses. Lack of relevant information in the patients' records is shown to be a general phenomenon affecting all diagnostic groups [40].

On the other hand, diagnosing bipolar disorder is not easily ascertained due to the following reasons [25]: (1) the typical presentation of bipolar disorder, when help is sought, is usually a depressive episode; (2) the diagnostic criteria for the depressive phase of bipolar disorder and for unipolar depression are identical in ICD-10; (3) it is not easy to ascertain previous episodes of (hypo) mania by recording patient histories because subjects often consider their manic symptoms to be normal and hence do not report hypomanic episodes as symptoms. Irritable mood may be misclassified as a depressive symptom. Manic symptoms during depressive episodes are reported to be indicative of a bipolar disorder and should be given more attention [41]. There are several features of a depressive episode that could indicate that it belongs within the bipolar spectrum [42]. A probabilistic approach to develop criteria for bipolar depression has been proposed [43]. The International Society for Bipolar Disorders Diagnostic Guidelines Task Force Report proposes to distinguish between unipolar and bipolar depression in the revised versions of the DSM and ICD manuals [44]. That could raise the awareness of bipolarity in affective disorders. Further, it is shown that diagnostic irrelevant information can affect the likelihood of a diagnosis of bipolar disorder [45]. Mantere et al. [46] found in their study that no previous hospitalization, lack of psychotic symptoms and the presence of rapid cycling predicted lack of bipolar I diagnosis, while no psychotic symptoms, female gender and shorter time in treatment predicted lack of bipolar II disorder. In our study the presence or absence of psychosis did influence whether a bipolar diagnosis was given in the clinic opposed to the findings of Mantere et al. [46], but the number of patients is small (Table 3).

Our study has some advantages that strengthen the validity of the results. First, a structured diagnostic interview was performed, with additional information extracted from patients' records when necessary, and second, the clinical diagnoses were blind to the expert. On the other hand, the expert never actually saw the patient such that signs and symptoms may have been missed or misinterpreted. However, the expert only scored a symptom as present if there was given a description of overt behaviour or citations from the patient in either the interview protocol or in the hospital records. Furthermore, there is always a risk that an interview that screens for all psychiatric symptoms may be overinclusive. This possible bias may result both from a "yes-saying" response style of the patient, and from a tendency of the interviewer to put weight on positive answers about signs and symptoms that are not clinically significant. Thus, there is a risk that the high number of diagnoses given by the expert is a result of response bias and scoring bias. On the other hand, the possibility that comorbidity is not diagnosed in the clinic seems more reasonable to assume. However, we do not believe that this possible bias will disturb the main findings. Our results are in accordance with those of Pinninti et al. [47] where MINI--diagnoses were compared with clinical ones. Structured interviews are shown to be better than unstructured traditional diagnostic assessment [40, 48, 49], and combining structured interviewing with a review of the medical records appears to produce more accurate primary diagnoses and to identify more secondary diagnoses than routine clinical methods or a structured interview alone [49, 50]. The studies reviewed by Byrne et al. [12], where only case notes were checked and no new information added, should be regarded more as reliability studies than validity studies. Additionally, the clinicians' diagnoses were blind to the expert thus avoiding bias in either direction. The interviews were made through collaboration between different professions and among them one psychiatrist. This could be a weakness. On the other hand, it reflects clinical practice in the hospitals where not all diagnoses are set by psychiatrists. Interrater reliability can be low even if diagnoses are determined by researchers as found by Cheniaux et al. [51]. However, to counter this, diagnoses were not formulated by the interviewers, but by one experienced researcher, PhD in clinical psychology, in our study.

Our study comprises only first time admissions, so the generalizability of the findings could be questioned. It can be argued that new patients are more difficult to diagnose than readmitted ones. On the other hand it is reported that a diagnosis of unipolar depression is frequently given following an initial diagnosis of bipolar disorder [7, 8]. To resolve this question more studies are needed. There were some biases in the study sample. Generally the participants were younger, had more often paid work and were more often voluntarily admitted. It was expected that they were more often of Norwegian ethnicity and had longer lengths of stay in the hospital due to the inclusion criteria and the considerations of the ethics committee. We do not think these biases have affected the results of this study. There is no reason to believe that the patients not included would be more easily or correctly diagnosed in the clinic. The opposite seems more likely.


Our results indicate a considerable misclassification of bipolar disorder in psychiatric hospital, mainly in patients currently depressed. The importance of correctly diagnosing bipolar disorder should be emphasized both for clinical, administrative and research purposes. These findings question the validity of psychiatric case registers. There are potential benefits in structuring the diagnostic process better in the clinic [49, 52, 53].


  1. 1.

    Angst J: The emerging epidemiology of hypomania and bipolar II disorder. J Aff Disord. 1998, 50: 143-151. 10.1016/S0165-0327(98)00142-6.

    CAS  Article  Google Scholar 

  2. 2.

    Angst F, Stassen HH, Clayton PJ, Angst J: Mortality of patients with mood disorders: follow-up over 34-38 years. J Aff Disord. 2002, 68: 167-181. 10.1016/S0165-0327(01)00377-9.

    CAS  Article  Google Scholar 

  3. 3.

    Rihmer Z, Kiss K: Bipolar disorders and suicide risk. Clin Appr Bipol Disord. 2002, 1: 15-21.

    Google Scholar 

  4. 4.

    McCombs JS, Ahn J, Tencer T, Shi L: The impact of unrecognized bipolar disorders among patients treated for depression with antidepressants in the fee-for-services California Medicaid (Medi-Cal) program: a 6-year retrospective analysis. J Aff Disord. 2007, 97: 171-179. 10.1016/j.jad.2006.06.018.

    Article  Google Scholar 

  5. 5.

    Birnbaum HG, Shi L, Dial E, Oster EF, Greenberg PE, Mallett DA: Economic consequences of not recognizing bipolar disorder patients: a cross-sectional descriptive analysis. J Clin Psychiatry. 2003, 64 (10): 1201-1209. 10.4088/JCP.v64n1010.

    Article  PubMed  Google Scholar 

  6. 6.

    Matza LS, Rajagopalan KS, Thompson CL, de Lissovoy G: Misdiagnosed patients with bipolar disorder: comorbidities, treatment patterns, and direct treatment costs. J Clin Psychiatry. 2005, 66: 1432-1440. 10.4088/JCP.v66n1114.

    Article  PubMed  Google Scholar 

  7. 7.

    Stensland MD, Schultz JF, Frytak JR: Diagnosis of unipolar depression following initial identification of bipolar disorder: a common and costly misdiagnosis. J Clin Psychiatry. 2008, 69 (5): 749-758. 10.4088/JCP.v69n0508.

    Article  PubMed  Google Scholar 

  8. 8.

    Stensland MD, Schultz JF, Frytak JR: Depression diagnoses following the identification of bipolar disorder: costly incongruent diagnoses. BMC Psychiatry. 2010, 10: 39-10.1186/1471-244X-10-39.

    Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Wierdsma AI, Sytema S, van Os JJ, Mulder CL: Case registers in psychiatry: do they still have a role for research and service monitoring?. Curr Opin Psychiatry. 2008, 21: 379-384. 10.1097/YCO.0b013e328304d99b.

    Article  PubMed  Google Scholar 

  10. 10.

    Perera G, Soremekun M, Breen G, Stewart R: The psychiatric case register: noble past, challenging present, but exiting future. Br J Psychiatry. 2009, 195: 191-193. 10.1192/bjp.bp.109.068452.

    Article  PubMed  Google Scholar 

  11. 11.

    Stewart R, Soremekun M, Perera G, Broadbent M, Callard F, Denis M, Hotopf M, Thornicroft G, Lovestone S: The South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register: development and descriptive data. BMC Psychiatry. 2009, 9: 51-10.1186/1471-244X-9-51.

    Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Byrne N, Regan C, Howard L: Administrative registers in psychiatric research: a systematic review of validity studies. Acta Psychiatr Scand. 2005, 112: 409-414. 10.1111/j.1600-0447.2005.00663.x.

    CAS  Article  PubMed  Google Scholar 

  13. 13.

    Goodman AB, Rahav M, Popper M, Ginath Y, Pearl E: The reliability of psychiatric diagnosis in Israel's Psychiatric Case Register. Acta Psychiatr Scand. 1984, 69: 391-397. 10.1111/j.1600-0447.1984.tb02510.x.

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    McConville P, Walker NP: The reliability of case register diagnoses: a birth cohort analysis. Soc Psychiatry Psychiatr Epidemiol. 2000, 35: 121-127. 10.1007/s001270050194.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Lish JD, Dime-Meenan S, Whybrow PC, Price RA, Hirschfeld RMA: The National Depressive and Manic-depressive Association (DMDA) survey of bipolar members. J Aff Disord. 1994, 31: 281-294. 10.1016/0165-0327(94)90104-X.

    CAS  Article  Google Scholar 

  16. 16.

    Manning JS, Haykal RF, Connor PD, Akiskal HS: On the nature of depressive and anxious states in a family practice setting: the high prevalence of bipolar II and related disorders in a cohort followed longitudinally. Compr Psychiatry. 1997, 38 (2): 102-108. 10.1016/S0010-440X(97)90089-4.

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Hantouche EG, Akiskal HS, Lancrenon S, Allilaire J-F, Sechter D, Azorin J-M, Bourgeois M, Fraud J-P, Châtenet-Duchêne L: Systematic clinical methodology for validating bipolar-II disorder: data in mid-stream from a French national multi-site study (EPIDEP). J Aff Disord. 1998, 50: 163-173. 10.1016/S0165-0327(98)00112-8.

    CAS  Article  Google Scholar 

  18. 18.

    Ghaemi SN, Sachs GS, Chiou AM, Pandurangi AK, Goodwin FK: Is bipolar disorder still underdiagnosed? Are antidepressants overutilized?. J Aff Disord. 1999, 52: 135-144. 10.1016/S0165-0327(98)00076-7.

    CAS  Article  Google Scholar 

  19. 19.

    Ghaemi SN, Boiman EE, Goodwin FK: Diagnosing bipolar disorder and the effect of antidepressants: a naturalistic study. J Clin Psychiatry. 2000, 61 (10): 804-808. 10.4088/JCP.v61n1013.

    CAS  Article  PubMed  Google Scholar 

  20. 20.

    Suppes T, Leverich GS, Keck PE, Nolen WA, Denicoff KD, Altshuler LL, McElroy SL, Rush AJ, Kupka R, Frye MA, Bickel M, Post RM: The Stanley Foundation Bipolar Treatment Outcome Network II. Demographics and illness characteristics of the first 261 patients. J Aff Disord. 2001, 67: 45-59. 10.1016/S0165-0327(01)00432-3.

    CAS  Article  Google Scholar 

  21. 21.

    Hirschfeld RMA, Calabrese JR, Weissman MM, Reed M, Davies MA, Frye MA, Keck PE, Lewis L, McElroy SL, McNulty JP, Wagner K: Screening for bipolar disorder in the community. J Clin Psychiatry. 2003, 64: 53-59. 10.4088/JCP.v64n0111.

    Article  PubMed  Google Scholar 

  22. 22.

    Mantere O, Suominen K, Leppämäki S, Valtonen H, Arvilommi P, Isometsä E: The clinical characteristics of DSM-IV bipolar I and II disorders: baseline findings from the Jorvi Bipolar Study (JoBS). Bipolar Disord. 2004, 6: 395-405. 10.1111/j.1399-5618.2004.00140.x.

    Article  PubMed  Google Scholar 

  23. 23.

    Dilsaver SC, Akiskal HS: High rate of unrecognized bipolar mixed states among destitute Hispanic adolescents referred for 'major depressive disorder'. J Aff Disord. 2005, 84: 179-186. 10.1016/j.jad.2004.10.009.

    Article  Google Scholar 

  24. 24.

    Hirschfeld RMA, Cass AR, Holt DCL, Carlson CA: Screening for bipolar disorder in patients treated for depression in a family medicine clinic. JABFP. 2005, 18: 233-239. 10.3122/jabfm.18.4.233.

    Article  PubMed  Google Scholar 

  25. 25.

    Kim B, Wang HR, Son JI, Kim CY, Joo YH: Bipolarity in depressive patients without histories of diagnosis of bipolar disorder and the use of the Mood Disorder Questionnaire for detecting bipolarity. Compr Psychiatry. 2008, 49: 469-475. 10.1016/j.comppsych.2008.01.002.

    Article  PubMed  Google Scholar 

  26. 26.

    Rezvy G, Øiesvold T, Parniakov A, Ponomarev O, Lazurko O, Olstad R: The Barents project in psychiatry: a systematic comparative mental health services study between Northern Norway and Archangelsk County. Soc Psychiatry Psychiatr Epidemiol. 2007, 42: 131-139. 10.1007/s00127-006-0141-4.

    Article  Google Scholar 

  27. 27.

    Sheehan D, Janavs J, Baker R, Harnett-Shehaan K, Knapp E, Sheehan M: Mini International Neuropsychiatric Interview. 1994, Tampa: University of South Florida

    Google Scholar 

  28. 28.

    Leiknes KA, Leganger S, Malt EA, Malt U: M.I.N.I. PLUS. 1999, Oslo: Psykosomatisk avd., Rikshospitalet

    Google Scholar 

  29. 29.

    World Health Organization: The ICD-10 Classification of mental and behavioural disorders: clinical descriptions and diagnostic guidelines (10th ed.). Geneva. 1992

    Google Scholar 

  30. 30.

    Skre I, Onstad S, Torgersen S, Kringlen E: High interrater reliability for the Structured Clinical Interview for DSM-III-R Axis I (SCID-I). Acta Psychiatr Scand. 1991, 84: 167-173. 10.1111/j.1600-0447.1991.tb03123.x.

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Rossi A, Morgan V, Amaddeo F, Sandri M, Grigoletti L, Maggioni F, Ferro A, Rigon E, Donisi V, Venturi VV, Goria F, Skre I, Tansella M, Jablensky A: Diagnosing psychotic disorders: validity, reliability and application of the Diagnostic Interview for Psychosis (DIP), Italian version. Epidemiol Psichiatr Soc. 2010, 19 (1): 33-43.

    PubMed  Google Scholar 

  32. 32.

    World Health Organization: The ICD-10 Classification of mental and behavioural disorders: diagnostic criteria for research. Geneva. 1993

    Google Scholar 

  33. 33.

    Landis RJ, Koch GG: The measurement of observer agreement for categorical data. Biometrics. 1977, 33: 159-174. 10.2307/2529310.

    CAS  Article  PubMed  Google Scholar 

  34. 34.

    Angst J, Azorin J-M, Bowden CL, Perugi G, Vieta E, Gamma A, Young AH: Prevalence and characteristics of undiagnosed bipolar disorder in patientws with a major depressive episode. Arch Gen Psychiatry. 2011, 68 (8): 791-799. 10.1001/archgenpsychiatry.2011.87.

    Article  PubMed  Google Scholar 

  35. 35.

    Merikangas KR, Kalaydjian A: Magnitude and impact of comorbidity of mental disorders from epidemiological surveys. Curr Opin Psychiatry. 2007, 20: 353-358. 10.1097/YCO.0b013e3281c61dc5.

    Article  PubMed  Google Scholar 

  36. 36.

    Baca-Garcia E, Perez-Rodriguez MM, Basurte-Villamor I, del Moral AL Fernandez, Jimenez-Arriero MA, de Rivera JL Gonzalez, Saiz-Ruiz J, Oquendo MA: Diagnostic stability of psychiatric disorders in clinical practice. Br J Psychiatry. 2007, 190: 210-216. 10.1192/bjp.bp.106.024026.

    Article  PubMed  Google Scholar 

  37. 37.

    Baca-Garcia E, Perez-Rodriguez MM, Basurte-Villamor I, Lopez-Castroman J, del Moral AL Fernandez, Jiminez-Arriero MA, de Rivera JL Gonzalez, Saiz-Ruiz J, Leiva-Murillo JM, de Prado-Cumplido M, Santiago-Mozos R, Artes-Rodriguez A, Oquendo MA, de Leon J: Diagnostic stability and evolution of bipolar disorder in clinical practice: a prospective cohort study. Acta Psychiatr Scand. 2007, 115: 473-480. 10.1111/j.1600-0447.2006.00984.x.

    CAS  Article  PubMed  Google Scholar 

  38. 38.

    Tversky A, Kahneman D: Judgement under uncertainty: heuristics and biases. Science. 1974, 185: 1124-1131. 10.1126/science.185.4157.1124.

    CAS  Article  PubMed  Google Scholar 

  39. 39.

    Elstein AS, Schwarz A: Clinical problem solving and diagnostic decision making: selective review of the cognitive literature. BMJ. 2002, 324: 729-732. 10.1136/bmj.324.7339.729.

    Article  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Miller PR: Inpatient diagnostic assessments: 3. Causes and effects of diagnostic imprecision. Psychiatr Res. 2002, 111: 191-197. 10.1016/S0165-1781(02)00147-6.

    Article  Google Scholar 

  41. 41.

    Goldberg JF, Perlis RH, Bowden CL, Thase ME, Miklowitz DJ, Marangell LB, Calabrese JR, Nierenberg AA, Sachs GS: Manic symptoms during depressive episodes in 1,380 patients with bipolar disorder: findings from the STEP-BD. Am J Psychiatry. 2009, 166 (2): 173-181. 10.1176/appi.ajp.2008.08050746.

    Article  PubMed  Google Scholar 

  42. 42.

    Bowden CL: A different depression: clinical distinctions between bipolar and unipolar depression. J Aff Disord. 2005, 84: 117-125. 10.1016/S0165-0327(03)00194-0.

    Article  Google Scholar 

  43. 43.

    Mitchell PB, Goodwin GM, Johnson GF, Hirschfeld RMA: Diagnostic guidelines for bipolar depression: a probabilistic approach. Bipolar Disord. 2008, 10: 144-152. 10.1111/j.1399-5618.2007.00559.x.

    Article  PubMed  Google Scholar 

  44. 44.

    Ghaemi SN, Bauer M, Cassidy F, Malhi GS, Mitchell P, Phelps J, Vieta E, Youngstrom E: Diagnostic guidelines for bipolar disorder: a summary of the international society for bipolar disorder diagnostic guidelines Task Force Report. Bipolar Disord. 2008, 10: 117-128. 10.1111/j.1399-5618.2007.00556.x.

    Article  PubMed  Google Scholar 

  45. 45.

    Bruchmüller K, Meyer TD: Diagnostically irrelevant information can affect the likelihood of a diagnosis of bipolar disorder. J Aff Disord. 2009, 116: 148-151. 10.1016/j.jad.2008.11.018.

    Article  Google Scholar 

  46. 46.

    Mantere O, Suominen K, Arvilommi P, Valtonen H, Leppämäki S, Isometsä E: Clinical predictors of unrecognized bipolar I and II disorders. Bipolar Disord. 2008, 10: 238-244. 10.1111/j.1399-5618.2007.00501.x.

    Article  PubMed  Google Scholar 

  47. 47.

    Pinninti NR, Madison H, Musser E, Rissmiller D: MINI International Neuropsychiatric Schedule: clinical utility and patient acceptance. Eur Psychiatry. 2003, 18: 361-364. 10.1016/j.eurpsy.2003.03.004.

    Article  PubMed  Google Scholar 

  48. 48.

    Miller PR, Dasher R, Collins R, Griffiths P, Brown F: Inpatient diagnostic assessments: 1. Accuracy of structured vs. unstructured interviews. Psychiatr Res. 2001, 105: 255-264. 10.1016/S0165-1781(01)00317-1.

    CAS  Article  Google Scholar 

  49. 49.

    Rogers R: Standardizing DSM-IV diagnoses: the clinical applications of structured interviews. J Pers Assess. 2003, 81 (3): 220-225. 10.1207/S15327752JPA8103_04.

    Article  PubMed  Google Scholar 

  50. 50.

    Perälä J, Suvisaari J, Saarni SI, Kuoppasalmi K, Isometsä E, Pirkola S, Partonen T, Tuulio-Henriksson A, Hintikka J, Kieseppä T, Härkänen T, Koskinen S, Lönnqvist J: Lifetime prevalence of psychotic and bipolar I disorders in a genereal population. Arch Gen Psychiatry. 2007, 64: 19-28. 10.1001/archpsyc.64.1.19.

    Article  PubMed  Google Scholar 

  51. 51.

    Cheniaux E, Landeira-Fernandez J, Versiani M: The diagnoses of schizophrenia, schizoaffective disorder, bipolar disorder and unipolar depression: interrater reliability and congruence between DSM-IV and ICD-10. Psychopathology. 2009, 42: 293-298. 10.1159/000228838.

    Article  PubMed  Google Scholar 

  52. 52.

    Basco MR, Bostic JQ, Davies D, Rush AJ, Witte B, Hendrickse W, Barnett V: Methods to improve diagnostic accuracy in a community mental health setting. Am J Psychiatry. 2000, 157 (10): 1599-1605. 10.1176/appi.ajp.157.10.1599.

    Article  Google Scholar 

  53. 53.

    Shear MK, Greeno C, Kang J, Ludewig D, Frank E, Swartz HA, Hanekamp M: Diagnosis of nonpsychotic patients in community clinics. Am J Psychiatry. 2000, 157 (4): 581-587. 10.1176/appi.ajp.157.4.581.

    CAS  Article  PubMed  Google Scholar 

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The study is supported by a grant from the Psychiatric Research Centre of Northern Norway, Tromsø and Bodø, grants nr. P16-03FPTF, P03-02FPTF, P15-01.

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Correspondence to Terje Øiesvold.

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The authors declare that they have no competing interests.

Authors' contributions

TØ participated in designing the study and writing of the protocol, collected data, managed the literature searches and analyses, undertook statistical analyses and wrote the manuscript. MN participated in designing the study and writing the protocol, collected data, undertook statistical analyses and contributed to the final manuscript. LØ collected data, undertook statistical analyses and contributed to the final manuscript. VH participated in designing the study and writing of the protocol and contributed to the final manuscript. KWS participated in designing the study and writing of the protocol, collected data, undertook statistical analyses and contributed to the final manuscript. IS collected data and contributed to the final manuscript. All authors read and approved the final manuscript.

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Øiesvold, T., Nivison, M., Hansen, V. et al. Classification of bipolar disorder in psychiatric hospital. a prospective cohort study. BMC Psychiatry 12, 13 (2012).

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  • Bipolar Disorder
  • Affective Disorder
  • Primary Diagnosis
  • Psychiatric Hospital
  • Bipolar Depression