AuthorsAnderson, Melissa L.
Wolf Craig, Kelly S
Document TypePsychiatry Issue Brief
KeywordsCommunity Based Participatory Research
Deaf pregnant women
Edinburgh Postnatal Depression Scale (EPDS)
American Sign Language
Edinburgh Postnatal Depression Scale (EPDS) translation
EPDS ASL translation
MetadataShow full item record
AbstractApproximately 1 million women in the U.S. have profound hearing loss and use American Sign Language (ASL) as their primary language. Many providers are unfamiliar with the unique linguistic and cultural needs of the Deaf community, therefore Deaf women experience major obstacles to receiving effective physical and mental healthcare. For example, failure to provide ASL interpreters or translations from written English is a common communication barrier that prevents Deaf women from receiving health-related treatment and information. In 2017, Drs. Melissa Anderson, Kelly Wolf Craig, and Nancy Byatt were awarded a 1-year pilot project grant for their Creating the Capacity to Screen Deaf Women for Perinatal Depression project. The primary goal of this project was to translate the Edinburgh Postnatal Depression Scale (EPDS) from written English to American Sign Language (ASL). Using the new ASL EPDS, the team aimed to recruit 50 Deaf perinatal women from across the United States to conduct depression screening interviews. This brief describes the study, its results and future plans.
Permanent Link to this Itemhttp://hdl.handle.net/20.500.14038/44261
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Latent Variable Approaches for Understanding Heterogeneity in Depression: A DissertationUlbricht, Christine M. (2015-04-23)Background: Major depression is one of the most prevalent, disabling, and costly illnesses worldwide. Despite a 400% increase in antidepressant medication use since 1988, fewer than half of treated depression patients experience a clinically meaningful reduction in symptoms and uncertainty exists regarding how to successfully obtain symptom remission. Identifying homogenous subgroups based on clinically observable characteristics could improve the ability to efficiently predict who will benefit from which treatments. Methods: Latent class analysis and latent transition analysis (LTA) were applied to data from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study to explore how to efficiently identify subgroups comprised of the multiple dimensions of depression and examine changes in subgroup membership during treatment. The specific aims of this dissertation were to: 1) evaluate latent depression subgroups for men and women prior to antidepressant treatment; 2) examine transitions in these subgroups over 12 weeks of citalopram treatment; and 3) examine differences in functional impairment between women’s depression subgroups throughout treatment. Results: Four subgroups of depression were identified for men and women throughout this work. Men’s subgroups were distinguished by depression severity and psychomotor agitation and retardation. Severity, appetite changes, insomnia, and psychomotor disturbances characterized women’s subgroups. Psychiatric comorbidities, especially anxiety disorders, were related to increased odds of membership in baseline moderate and severe depression subgroups for men and women. After 12 weeks of citalopram treatment, depression severity and psychomotor agitation were related to men’s chances of improving. Severity and appetite changes were related to women’s likelihood of improving during treatment. When functional impairment was incorporated in LTA models for women, baseline functional impairment levels were related to both depression subgroups at baseline and chances of moving to a different depression subgroup after treatment. Conclusion: Depression severity, psychomotor disturbances, appetite changes, and insomnia distinguished depression subgroups in STAR*D. Gender, functional impairment, comorbid psychiatric disorders, and likelihood of transitioning to subgroups characterized by symptom improvement differed between these subgroups. The results of this work highlight how relying solely on summary symptom rating scale scores during treatment obscures changes in depression that might be informative for improving treatment response.
Depression in Rheumatoid Arthritis and an Estimation of the Bi-directional Association of Depression and Disease Burden: A DissertationRathbun, Alan M. (2014-04-11)Depression is a common comorbidity in rheumatoid arthritis (RA), yet it may not be adequately recognized during routine clinical care. RA symptoms may confer a risk for depression, and vice versa; depression may affect RA disease activity and response to treatment. The study aims were to compare patient- and physician-reported depression measures, evaluate the temporal bi-directional association between RA disease activity and depressive symptomology, and assess depression as a moderator of RA treatment. Patients were identified using a national RA registry sample (Consortium of Rheumatology Researchers of North America; CORRONA). Depression prevalence and incidence rates were estimated, and concordance and disagreement using measures reported separately by patients and physicians, as well as baseline cross-sectional associations between RA disease and a history of depression. A survival analysis was conducted to temporally predict the incident onset of self-reported depressive symptoms using the different metrics of RA disease activity. Also, mixed effects models were used to assess prospective changes in RA disease activity by prevalent and incident depressive symptom status. Lastly, logistic regression models compared the likelihood of clinical response to RA treatment during follow-up in those with and without depression when starting biologic disease modifying anti-rheumatic drug (DMARD) therapy. Patient-reported depression rates were much higher and significantly different from physician based comorbidity estimates. Patient and physician RA disease activity measures were associated with an increased risk for depression onset, but not laboratory-reported serum biomarkers. Similarly, depression was temporally associated with significantly slower rates of decline regarding every patient-reported disease activity measure, some physician-reported metrics, but not acute phase reactants. Moreover, there was a significantly lower probability of achieving clinical remission among those with depression on a biologic DMARD after 6 months and an analogous effect at 12-months that was slightly lower in magnitude, which did not reach statistical significance. Rheumatologists under-reported the occurrence of prevalent and incident depressive symptoms, and thus are likely unaware of its presence in their RA patients. Further, the results suggest the bi-directional effects between these conditions are related to the cognitive and behavioral aspects of depression and their interactions with disease activity, rather than shared immunological mechanisms in the context of cell-mediated immunity. When also considering the impact on clinical response to biologic DMARDS, the findings collectively imply that rheumatologists must address any challenges due to depression to provide the best care to their patients.
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