Publications by authors named "Diane Stegman"

Background: This study compared the 16-item Clinician and Self-Report versions of the Quick Inventory of Depressive Symptomatology (QIDS-C16 and QIDS-SR16) and the 10-item Montgomery-Asberg Depression Rating Scale (MADRS) in adult outpatients. The comparison was based on psychometric features and their performance in identifying those in a major depressive episode as defined by the Mini-International Neuropsychiatric Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition.

Methods: Of 278 consecutive outpatients, 181 were depressed.

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Background: Understanding patients' ambivalence about treatment persistence may be useful in tailoring retention interventions for individual patients with major depressive disorder.

Methods: Participants (n = 265) with major depressive disorder were enrolled into an 8-week trial with a selective serotonin reuptake inhibitor. At baseline and week 2, the participants were asked about their intent to return for the next visit, complete the study and continue in the study should they experience side effects or no improvement.

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The success of well-developed protocols has been limited in real-world practice, where even effective strategies have not been sufficient to meet patient needs in routine clinical care owing to Axis I and III comorbidities. The Sequenced Treatment Alternatives to Relieve Depression (STAR(*)D) trial required that antidepressant medication treatment be optimal regarding dose and duration, yet accommodate flexibility to ensure safety given the wide range of comorbid general medical and psychiatric disorders allowed in the trial. The objective of this study was to develop a measurement-based care (MBC) approach and an automated feedback system to ensure adequate and safe antidepressant treatment delivery suitable for both clinical research and routine practice.

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Objectives: Clinical research projects gather large amounts of data. Typically, information is captured on paper source documents for later transcription to an electronic format, where responses can be checked, and errors, omissions, and inconsistencies can be resolved. These steps contribute delays, cost, and complexity to clinical research, particularly in large-scale multi-site investigations.

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Background: The purpose of this paper is to use demographic and clinical data from a large diverse group of outpatients diagnosed with non-psychotic major depression to investigate the validity of the DSM-IV concept of melancholic depression.

Methods: Baseline clinical and demographic data were collected on 1500 outpatients (1456 of whom melancholia could be determined) with non-psychotic major depressive disorder (MDD) participating in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. Depressive symptom severity was assessed by clinical telephone interview using the 17-item Hamilton Rating Scale for Depression (HRS-D17) and the 30-item Inventory of Depressive Symptomatology (IDS-C30).

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The Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial is a multi-site effectiveness study funded by the National Institute of Mental Health (NIMH) with the aim of identifying successful, acceptable and cost-effective treatment strategies for outpatients with unremitted depression. With enrollment of 4,041 adults with major depressive disorder (MDD), it is the largest controlled psychiatric treatment study ever undertaken. In the course of developing procedures to ensure that ambitious enrollment goals were met, a number of ethical and practical issues became apparent that underscore the conflicts between effectiveness research and human subject protections.

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While efficient methods of communication are known to be essential in conducting large multicenter clinical trials, very little information is provided on actual methods that can be implemented to improve communication. An integrated technology-based communication system was developed for the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) project, which prospectively defines treatments that are most effective for participants with a diagnosis of a nonpsychotic major depressive disorder (MDD) who report an unsatisfactory clinical outcome to an initial and, if necessary, subsequent treatment(s). This web-based communication system is comprised of a multi-faceted study Web site, including a help desk, document sharing, a project directory and reports.

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Background: Depression during pregnancy can have significant health consequences for the mother and her infant. Antidepressant medications, which pass through the placenta, may increase the risk of low birth weight and preterm delivery. The use of selective serotonin reuptake inhibitors (SSRIs) during pregnancy may induce serotonergic symptoms in the infant after delivery.

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Objective: This study examined data from the first 1,500 patients with major depressive disorder who were entered into the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) and compared baseline characteristics of outpatients on the basis of their insurance status.

Methods: We compared the demographic and clinical characteristics and the features of the presenting symptoms of outpatients with private insurance, public insurance, Medicaid and Medicare, or no insurance who were seeking treatment for depression.

Results: Valid insurance data were available for 1,452 patients.

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In multicenter clinical trials, important aspects of trial performance (e.g., the number of participants who enter the trial within the required time frame, the number of participants who remain in the trial, and/or the completeness of the outcome data collected) directly affect the extent to which the study can achieve its aims.

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In large multi-site trials, a feasibility or pilot study can be crucial to test the functionality of all aspects of conducting the study prior to the initiation of the formal study. A feasibility trial was conducted for the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) Project, a multi-site, prospective, sequentially randomized, clinical trial of outpatients with nonpsychotic major depressive disorder. From 14 December 2000 to 8 June 2001, 42 patients were screened for enrollment into the STAR*D Feasibility Trial.

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