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Published in: BMC Psychiatry 1/2020

Open Access 01-12-2020 | Mood Disorders | Research article

Exploring factors of diagnostic delay for patients with bipolar disorder: a population-based cohort study

Authors: Ágnes Lublóy, Judit Lilla Keresztúri, Attila Németh, Péter Mihalicza

Published in: BMC Psychiatry | Issue 1/2020

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Abstract

Background

Bipolar disorder if untreated, has severe consequences: severe role impairment, higher health care costs, mortality and morbidity. Although effective treatment is available, the delay in diagnosis might be as long as 10–15 years. In this study, we aim at documenting the length of the diagnostic delay in Hungary and identifying factors associated with it.

Methods

Kaplan-Meier survival analysis and Cox proportional hazards model was employed to examine factors associated with the time to diagnosis of bipolar disorder measured from the date of the first presentation to any specialist mental healthcare institution. We investigated three types of factors associated with delays to diagnosis: demographic characteristics, clinical predictors and patient pathways (temporal sequence of key clinical milestones). Administrative data were retrieved from specialist care; the population-based cohort includes 8935 patients from Hungary.

Results

In the sample, diagnostic delay was 6.46 years on average. The mean age of patients at the time of the first bipolar diagnosis was 43.59 years. 11.85% of patients were diagnosed with bipolar disorder without any delay, and slightly more than one-third of the patients (35.10%) were never hospitalized with mental health problems. 88.80% of the patients contacted psychiatric care for the first time in outpatient settings, while 11% in inpatient care. Diagnostic delay was shorter, if patients were diagnosed with bipolar disorder by non-specialist mental health professionals before. In contrast, diagnoses of many psychiatric disorders received after the first contact were coupled with a delayed bipolar diagnosis. We found empirical evidence that in both outpatient and inpatient care prior diagnoses of schizophrenia, unipolar depression without psychotic symptoms, and several disorders of adult personality were associated with increased diagnostic delay. Patient pathways played an important role as well: the hazard of delayed diagnosis increased if patients consulted mental healthcare specialists in outpatient care first or they were hospitalized.

Conclusions

We systematically described and analysed the diagnosis of bipolar patients in Hungary controlling for possible confounders. Our focus was more on clinical variables as opposed to factors controllable by policy-makers. To formulate policy-relevant recommendations, a more detailed analysis of care pathways and continuity is needed.
Literature
3.
go back to reference World Health Organization. The global burden of disease: 2004 update. Geneva: WHO Press; 2008. ISBN 9789241563710 World Health Organization. The global burden of disease: 2004 update. Geneva: WHO Press; 2008. ISBN 9789241563710
12.
go back to reference Brady KT, Sonne SC. The relationship between substance abuse and bipolar disorder. J Clin Psychiatry. 1995;56(Suppl 3):19–24.PubMed Brady KT, Sonne SC. The relationship between substance abuse and bipolar disorder. J Clin Psychiatry. 1995;56(Suppl 3):19–24.PubMed
13.
go back to reference Hirschfeld RM. Bipolar spectrum disorder: improving its recognition and diagnosis. J Clin Psychiatry. 2001;62(Suppl 14):5–9.PubMed Hirschfeld RM. Bipolar spectrum disorder: improving its recognition and diagnosis. J Clin Psychiatry. 2001;62(Suppl 14):5–9.PubMed
15.
go back to reference 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):1201–9.CrossRef 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):1201–9.CrossRef
22.
go back to reference Purebl Gy. Szorongás és depresszió a háziorvosi gyakorlatban. Hippocrates. 2003;V/2:128–33. Purebl Gy. Szorongás és depresszió a háziorvosi gyakorlatban. Hippocrates. 2003;V/2:128–33.
23.
go back to reference Lin PI, McInnis MG, Potash JB, Willour V, MacKinnon DF, DePaulo JR, Zandi PP. Clinical correlates and familial aggregation of age at onset in bipolar disorder. Am J Psychiatry. 2006;163(2):240–6.CrossRef Lin PI, McInnis MG, Potash JB, Willour V, MacKinnon DF, DePaulo JR, Zandi PP. Clinical correlates and familial aggregation of age at onset in bipolar disorder. Am J Psychiatry. 2006;163(2):240–6.CrossRef
24.
go back to reference Morken G, Vaaler AE, Folden GE, Andreassen OA, Malt UF. Age at onset of first episode and time to treatment in in-patients with bipolar disorder. Br J Psychiatry. 2009;194(6):559–60.CrossRef Morken G, Vaaler AE, Folden GE, Andreassen OA, Malt UF. Age at onset of first episode and time to treatment in in-patients with bipolar disorder. Br J Psychiatry. 2009;194(6):559–60.CrossRef
30.
go back to reference Garson GD. Cox regression. Asheboro: Statistical Associates Publishers; 2013. Garson GD. Cox regression. Asheboro: Statistical Associates Publishers; 2013.
33.
go back to reference Vittinghoff E, Glidden DG, Shiboski SC, McCulloch CE. Regression methods in biostatistics: linear, logistic, survival, and repeated measures models. 2nd ed. New York: Springer; 2012. Science+Business Media. e-ISBN: 978–1–4614-1353-0CrossRef Vittinghoff E, Glidden DG, Shiboski SC, McCulloch CE. Regression methods in biostatistics: linear, logistic, survival, and repeated measures models. 2nd ed. New York: Springer; 2012. Science+Business Media. e-ISBN: 978–1–4614-1353-0CrossRef
37.
go back to reference van Walraven C, Seth R, Laupacis A. Dissemination of discharge summaries. Not reaching follow-up physicians. Can Fam Physician. 2002;48(4):737–42.PubMedPubMedCentral van Walraven C, Seth R, Laupacis A. Dissemination of discharge summaries. Not reaching follow-up physicians. Can Fam Physician. 2002;48(4):737–42.PubMedPubMedCentral
Metadata
Title
Exploring factors of diagnostic delay for patients with bipolar disorder: a population-based cohort study
Authors
Ágnes Lublóy
Judit Lilla Keresztúri
Attila Németh
Péter Mihalicza
Publication date
01-12-2020
Publisher
BioMed Central
Published in
BMC Psychiatry / Issue 1/2020
Electronic ISSN: 1471-244X
DOI
https://doi.org/10.1186/s12888-020-2483-y

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