Literature DB >> 19851701

Profiles of disability among adults with bipolar spectrum disorders.

Brian E Perron1, Amy S B Bohnert, Michael G Vaughn, Mark S Bauer, Amy M Kilbourne.   

Abstract

BACKGROUND: Heterogeneous groups of patients with a spectrum of service needs are commonplace in mental health settings. Although comprehensive assessments are available to measure variations in service needs, numerous challenges still exist when confronting this heterogeneity and many assessments used in clinic settings are lengthy and have not been demonstrated to be consistent over time.
OBJECTIVE: The purpose of this study was to identify subgroups of persons with bipolar spectrum disorders, who have similar disability profiles, and to the extent to which the subgrouping is stable over time.
METHODS: Participants were recruited from the Continuous Improvement for Veterans in Care-Mood Disorders. Eligible patients (N = 435) were those who received inpatient or outpatient treatment for bipolar disorder at a large urban VA mental health facility in Western Pennsylvania from July 2004 through July 2006. This was a naturalistic cohort study of patients with bipolar spectrum disorders. Baseline and 1-year follow-up data were collected using face-to-face interviews and recorded abstraction. The World Health Organization Disability Assessment Scale was the primary measure used to identify subgroups within this sample.
RESULTS: Using a classification strategy called latent profile analysis, this study identified three unique subgroups that showed significant differences in various clinical measures at baseline and follow-up. The largest and most consistent subgroup differences were observed in the current bipolar symptomatology.
CONCLUSION: The classification of functional status in the present study can aid clinicians in the identification of bipolar patients, with specific impairment profiles, who may need additional intervention. Future research is needed to understand whether specific interventions targeted at these subgroups can improve the quality of care for this high-need and at-risk population.

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Year:  2009        PMID: 19851701     DOI: 10.1007/s00127-009-0153-y

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


  37 in total

1.  The PHQ-9: validity of a brief depression severity measure.

Authors:  K Kroenke; R L Spitzer; J B Williams
Journal:  J Gen Intern Med       Date:  2001-09       Impact factor: 5.128

2.  Medical comorbidity and health-related quality of life in bipolar disorder across the adult age span.

Authors:  Howard H Fenn; Mark S Bauer; Lori Altshuler; Lori Alshuler; Denise R Evans; William O Williford; Amy M Kilbourne; Thomas P Beresford; Gail Kirk; Margaret Stedman; Louis Fiore
Journal:  J Affect Disord       Date:  2005-05       Impact factor: 4.839

Review 3.  Competing demands in psychosocial care. A model for the identification and treatment of depressive disorders in primary care.

Authors:  M S Klinkman
Journal:  Gen Hosp Psychiatry       Date:  1997-03       Impact factor: 3.238

4.  Long-term effectiveness and cost of a systematic care program for bipolar disorder.

Authors:  Gregory E Simon; Evette J Ludman; Mark S Bauer; Jürgen Unützer; Belinda Operskalski
Journal:  Arch Gen Psychiatry       Date:  2006-05

5.  The continuous improvement for veterans in care: Mood Disorders (civic-md) Study, a VA-academic partnership.

Authors:  Amy M Kilbourne; Elaine Lasky; Harold Alan Pincus; C Bernie Good; Susan Cooley; Anu Basavaraju; Devra Greenwald; Michael J Fine; Mark S Bauer
Journal:  Psychiatr Serv       Date:  2008-05       Impact factor: 3.084

6.  When programs benefit some people more than others: tests of differential service effectiveness.

Authors:  Cathaleene Macias; Danson R Jones; William A Hargreaves; Qi Wang; Charles F Rodican; Paul J Barreira; Paul B Gold
Journal:  Adm Policy Ment Health       Date:  2008-07

7.  Vocational rehabilitation for subjects with severe mental illnesses in Germany. A controlled study.

Authors:  Stefan Watzke; Anja Galvao; Peter Brieger
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2008-11-13       Impact factor: 4.328

8.  Symptoms and functioning of patients with bipolar disorder six months after hospitalization.

Authors:  G L Dion; M Tohen; W A Anthony; C S Waternaux
Journal:  Hosp Community Psychiatry       Date:  1988-06

9.  Association between cognitive functioning and employment status of persons with bipolar disorder.

Authors:  Faith B Dickerson; John J Boronow; Cassie R Stallings; Andrea E Origoni; Sara Cole; Robert H Yolken
Journal:  Psychiatr Serv       Date:  2004-01       Impact factor: 3.084

10.  Relapse and impairment in bipolar disorder.

Authors:  M J Gitlin; J Swendsen; T L Heller; C Hammen
Journal:  Am J Psychiatry       Date:  1995-11       Impact factor: 18.112

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  2 in total

1.  Characteristics associated with inpatient versus outpatient status in older adults with bipolar disorder.

Authors:  Rayan K Al Jurdi; Herbert C Schulberg; Rebecca L Greenberg; Mark E Kunik; Ariel Gildengers; Martha Sajatovic; Benoit H Mulsant; Robert C Young
Journal:  J Geriatr Psychiatry Neurol       Date:  2012-03       Impact factor: 2.680

2.  Developing a profile of activities of daily living for bipolar disorder: a systematic review protocol and meta-analysis.

Authors:  Anna M Aniserowicz; Fatima Safi; Heather Colquhoun; J Stier; Behdin Nowrouzi-Kia
Journal:  BMJ Open       Date:  2022-05-16       Impact factor: 3.006

  2 in total

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