Literature DB >> 18774873

Prevalence and humanistic impact of potential misdiagnosis of bipolar disorder among patients with major depressive disorder in a commercially insured population.

Siddhesh A Kamat1, Krithika Rajagopalan, Ned Pethick, Vincent Willey, Michael Bullano, Mariam Hassan.   

Abstract

BACKGROUND: Patients with bipolar disorder typically present to physicians in the depressed rather than the manic or hypomanic phase of illness. Because the depressive episodes in bipolar disorder may be indistinguishable from those in major depressive disorder (MDD), misdiagnosis may occur.
OBJECTIVES: To estimate from administrative claims data and a telephone survey the prevalence of potential misdiagnosis of bipolar disorder among patients with MDD and the humanistic (health-related quality of life [HRQOL] and disability) effects associated with misdiagnosis in a managed care setting.
METHODS: Administrative claims data were used to identify patients with medical claims for MDD from a database of 9 million members of commercial health plans from 3 U.S. regions. The inclusion criteria were as follows: (a) adults aged 18 years or older; (b) at least 2 medical claims, including a primary or secondary diagnosis of MDD: ICD-9-CM codes 296.2x (MDD, single episode), 296.3x (MDD, recurrent episode), or 311 (depressive disorder, not classified elsewhere) during an identification period from January 1, 2000, through March 31, 2004 (study intake period); (c) at least 12 months of pre-index and 12 months of post-index plan eligibility; and (d) active enrollment through March 31, 2005. The index date was defined as the date of the first claim for MDD during the identification period. Patients with ICD-9-CM codes for bipolar disorder at any time throughout the study period (January 1, 2000, through March 31, 2005) were excluded from this cohort. This cohort was targeted for a telephone survey that was conducted from August 1 through October 30, 2006. From the telephone survey sampling frame of 5,777, a total of 1,360 interviews were completed for a response rate of 23.5%. Respondents were screened for potential bipolar disorder using the Mood Disorder Questionnaire (MDQ). The Medical Outcomes 12-Item Short Form Survey (SF-12), Version 2, a widely used and validated instrument that assesses health-related functioning, and the Sheehan Disability Scale (SDS), which measures depression-related disability, were administered to a convenience subsample of 112 survey respondents to collect HRQOL and disability information, respectively.
RESULTS: Of 1,360 adult patients aged 18 years or older with a diagnosis of MDD but without a medical claim for diagnosis of bipolar disorder, 94 (6.9%) screened positive for bipolar disorder on the MDQ. More patients with a positive screen for bipolar disorder reported lifetime histories of obsessive compulsive disorder (24.5% vs. 8.2%, P<0.001), psychotic disorders or hallucinations (9.6% vs. 2.4%, P<0.001), suicidal ideation (61.7% vs. 29.4%, P<0.001), and drug abuse (34.0% vs. 11.1%, P<0.001) than did patients with a negative screen for bipolar disorder. In the subgroup of patients who completed the SF-12 and SDS, patients with a positive screen for bipolar disorder (n=33) had lower scores (i.e., greater impairment) on the social functioning, role emotional, and overall mental component summary scales of the SF-12 than did patients with a negative screen for bipolar disorder (n=79, P<0.001), but did not significantly differ on the physical component summary scale. Patients with a positive screen for bipolar disorder on the MDQ were more likely than patients who screened MDQ-negative to report severe depression-related impairment (scores of 7 and higher on the SDS scale) with work life (54.5% vs. 24.1%, respectively, P=0.002), social life (66.7% vs. 39.2%, P=0.008), and family life (66.7% vs. 34.2%, P=0.002) on the SDS.
CONCLUSIONS: In this study of patients carrying medical claims for a diagnosis of MDD in their administrative claims data, approximately 7% screened positive for bipolar disorder on a validated self-report assessment instrument. Patients with MDD who screened positive for bipolar disorder reported poorer HRQOL and disability scores than did patients with MDD who screened MDQ-negative. These findings may encourage interventions for appropriate screening, diagnosis, and management of potentially misdiagnosed bipolar disorder patients.

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Mesh:

Year:  2008        PMID: 18774873

Source DB:  PubMed          Journal:  J Manag Care Pharm        ISSN: 1083-4087


  9 in total

Review 1.  Diagnosis and treatment of bipolar disorders in adults: a review of the evidence on pharmacologic treatments.

Authors:  Michael W Jann
Journal:  Am Health Drug Benefits       Date:  2014-12

2.  The diagnosis and treatment of bipolar disorder: decision-making in primary care.

Authors:  Larry Culpepper
Journal:  Prim Care Companion CNS Disord       Date:  2014-06-19

3.  Insula and amygdala resting-state functional connectivity differentiate bipolar from unipolar depression.

Authors:  E Ambrosi; D B Arciniegas; A Madan; K N Curtis; M A Patriquin; R E Jorge; G Spalletta; J C Fowler; B C Frueh; R Salas
Journal:  Acta Psychiatr Scand       Date:  2017-03-28       Impact factor: 6.392

4.  Unrecognised bipolar disorder among UK primary care patients prescribed antidepressants: an observational study.

Authors:  Tom Hughes; Alastair Cardno; Robert West; Federica Marino-Francis; Imogen Featherstone; Keeley Rolling; Alice Locker; Kate McLintock; Allan House
Journal:  Br J Gen Pract       Date:  2016-01-06       Impact factor: 5.386

5.  Ratio of mBDNF to proBDNF for Differential Diagnosis of Major Depressive Disorder and Bipolar Depression.

Authors:  Guoqing Zhao; Chen Zhang; Jun Chen; Yousong Su; Rubai Zhou; Fan Wang; Weiping Xia; Jia Huang; Zuowei Wang; Yingyan Hu; Lan Cao; Xiaoyun Guo; Chengmei Yuan; Yong Wang; Zhenghui Yi; Weihong Lu; Yan Wu; Zhiguo Wu; Wu Hong; Daihui Peng; Yiru Fang
Journal:  Mol Neurobiol       Date:  2016-09-09       Impact factor: 5.590

6.  Using Information on Patient Adherence to Antipsychotic Medication to Understand Their Adherence to Other Medications.

Authors:  Jason Shafrin; Alison R Silverstein; Joanna P MacEwan; Darius N Lakdawalla; Ainslie Hatch; Felicia M Forma
Journal:  P T       Date:  2019-06

7.  Clinical assessment of bipolar depression: validity, factor structure and psychometric properties of the Korean version of the Bipolar Depression Rating Scale (BDRS).

Authors:  Young-Eun Jung; Moon-Doo Kim; Won-Myong Bahk; Young Sup Woo; Jonghun Lee; Sae-Heon Jang; Seunghee Won; Kyung Joon Min; Sangkeun Chung; Young-Joon Kwon; Duk-In Jon; Kwanghun Lee; Bo-Hyun Yoon
Journal:  BMC Psychiatry       Date:  2016-07-15       Impact factor: 3.630

8.  Resting state functional network switching rate is differently altered in bipolar disorder and major depressive disorder.

Authors:  Shaoqiang Han; Qian Cui; Xiao Wang; Liang Li; Di Li; Zongling He; Xiaonan Guo; Yun-Shuang Fan; Jing Guo; Wei Sheng; Fengmei Lu; Huafu Chen
Journal:  Hum Brain Mapp       Date:  2020-05-13       Impact factor: 5.038

9.  Medication Adherence Patterns Among Patients with Multiple Serious Mental and Physical Illnesses.

Authors:  Joanna P MacEwan; Alison R Silverstein; Jason Shafrin; Darius N Lakdawalla; Ainslie Hatch; Felicia M Forma
Journal:  Adv Ther       Date:  2018-05-03       Impact factor: 3.845

  9 in total

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