Claire Twose
Johns Hopkins University
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Health Information and Libraries Journal | 2008
Claire Twose; Patricia Swartz; Edward Bunker; Nancy K. Roderer; Kathleen Burr Oliver
PURPOSE To increase understanding of the information needs and use of public health practitioners. SETTING From June 2005 to May 2006, the library offered a course in public health information resources to eighteen practitioners in two counties, access to the librarys licensed electronic resources through a tailored web portal, and consulting services. EVALUATION METHOD We combined usage statistics from the web portal, self-report and observational data collected during training and shadowing of participants. CONCLUSIONS The data from this project indicate that usage of licensed information resources and services is infrequent but broad ranging. A few users register at the high end of the usage range, but one use of one high quality article can have a significant impact on policy decisions. Time and competing responsibilities often constrain the retrieval and use of resources for evidence-based decision making and an informationist or power-user model may be more appropriate than training all practitioners to integrate searching into their workflow. This study indicates (i) that evidence-based public health practice requires seamless and broadly based information access; and (ii) that the currently existing patchwork does not support the level of use or take into account the time constraints of information needs for public health practice.
Systematic Reviews | 2015
Evan Mayo-Wilson; Susan Hutfless; Tianjing Li; Gillian Gresham; Nicole Fusco; Jeffrey T. Ehmsen; James Heyward; Swaroop Vedula; Diana Lock; Jennifer A. Haythornthwaite; Jennifer L. Payne; Theresa Cowley; Elizabeth Tolbert; Lori Rosman; Claire Twose; Elizabeth A. Stuart; Hwanhee Hong; Peter Doshi; Catalina Suarez-Cuervo; Sonal Singh; Kay Dickersin
BackgroundSystematic reviews should provide trustworthy guidance to decision-makers, but their credibility is challenged by the selective reporting of trial results and outcomes. Some trials are not published, and even among clinical trials that are published partially (e.g., as conference abstracts), many are never published in full. Although there are many potential sources of published and unpublished data for systematic reviews, there are no established methods for choosing among multiple reports or data sources about the same trial.MethodsWe will conduct systematic reviews of the effectiveness and safety of two interventions following the Institute of Medicine (IOM) guidelines: (1) gabapentin for neuropathic pain and (2) quetiapine for bipolar depression. For the review of gabapentin, we will include adult participants with neuropathic pain who do not require ventilator support. For the review of quetiapine, we will include adult participants with acute bipolar depression (excluding mixed or rapid cycling episodes). We will compare these drugs (used alone or in combination with other interventions) with placebo or with the same intervention alone; direct comparisons with other medications will be excluded. For each review, we will conduct highly sensitive electronic searches, and the results of the searches will be assessed by two independent reviewers. Outcomes, study characteristics, and risk of bias ratings will be extracted from multiple reports by two individuals working independently, stored in a publicly available database (Systematic Review Data Repository) and analyzed using commonly available statistical software. In each review, we will conduct a series of meta-analyses using data from different sources to determine how the results are affected by the inclusion of data from multiple published sources (e.g., journal articles and conference abstracts) as well as unpublished aggregate data (e.g., “clinical study reports”) and individual participant data (IPD). We will identify patient-centered outcomes in each report and identify differences in the reporting of these outcomes across sources.Systematic review registrationCRD42015014037, CRD42015014038
PLOS ONE | 2014
L. Susan Wieland; Lainie Rutkow; S. Swaroop Vedula; Christopher N. Kaufmann; Lori Rosman; Claire Twose; Nirosha Mahendraratnam; Kay Dickersin
Objective To describe the sources of internal company documents used in public health and healthcare research. Methods We searched PubMed and Embase for articles using internal company documents to address a research question about a health-related topic. Our primary interest was where authors obtained internal company documents for their research. We also extracted information on type of company, type of research question, type of internal documents, and funding source. Results Our searches identified 9,305 citations of which 357 were eligible. Scanning of reference lists and consultation with colleagues identified 4 additional articles, resulting in 361 included articles. Most articles examined internal tobacco company documents (325/361; 90%). Articles using documents from pharmaceutical companies (20/361; 6%) were the next most common. Tobacco articles used documents from repositories; pharmaceutical documents were from a range of sources. Most included articles relied upon internal company documents obtained through litigation (350/361; 97%). The research questions posed were primarily about company strategies to promote or position the company and its products (326/361; 90%). Most articles (346/361; 96%) used information from miscellaneous documents such as memos or letters, or from unspecified types of documents. When explicit information about study funding was provided (290/361 articles), the most common source was the US-based National Cancer Institute. We developed an alternative and more sensitive search targeted at identifying additional research articles using internal pharmaceutical company documents, but the search retrieved an impractical number of citations for review. Conclusions Internal company documents provide an excellent source of information on health topics (e.g., corporate behavior, study data) exemplified by articles based on tobacco industry documents. Pharmaceutical and other industry documents appear to have been less used for research, indicating a need for funding for this type of research and well-indexed and curated repositories to provide researchers with ready access to the documents.
Genes | 2018
George Kunnackal John; Lin Wang; Julie Nanavati; Claire Twose; Rajdeep Singh; Gerard E. Mullin
Dietary alteration of the gut microbiome is an important target in the treatment of obesity. Animal and human studies have shown bidirectional weight modulation based on the probiotic formulation used. In this study, we systematically reviewed the literature and performed a meta-analysis to assess the impact of prebiotics, probiotics and synbiotics on body weight, body mass index (BMI) and fat mass in adult human subjects. We searched Medline (PubMed), Embase, the Cochrane Library and the Web of Science to identify 4721 articles, of which 41 were subjected to full-text screening, yielding 21 included studies with 33 study arms. Probiotic use was associated with significant decreases in BMI, weight and fat mass. Studies of subjects consuming prebiotics demonstrated a significant reduction in body weight, whereas synbiotics did not show an effect. Overall, when the utilization of gut microbiome-modulating dietary agents (prebiotic/probiotic/synbiotic) was compared to placebo, there were significant decreases in BMI, weight and fat mass. In summary, dietary agents for the modulation of the gut microbiome are essential tools in the treatment of obesity and can lead to significant decreases in BMI, weight and fat mass. Further studies are needed to identify the ideal dose and duration of supplementation and to assess the durability of this effect.
Journal of Library Administration | 2010
Catherine K. Craven; Victoria H. Goode; Claire Twose; Dongming Zhang; Nancy K. Roderer
ABSTRACT WelServe is the database management system Welch Medical Library developed for quantitative assessment of services. The informationist team uses WelServe to capture data about direct service contacts with members of the research, clinical, and academic units at the Johns Hopkins Medical Institutions. WelServe data is used for library management and for reporting productivity data to higher units, including the Welch Advisory Committees, composed of deans and managers from the hospital and the schools of nursing, public health, and medicine. WelServe also supports reporting for the American Association of Health Sciences Libraries and the Association for Research Libraries.
Systematic Reviews | 2018
Evan Mayo-Wilson; Susan Hutfless; Tianjing Li; Gillian Gresham; Nicole Fusco; Jeffrey T. Ehmsen; James Heyward; Swaroop Vedula; Diana Lock; Jennifer A. Haythornthwaite; Jennifer L. Payne; Theresa Cowley; Elizabeth Tolbert; Lori Rosman; Claire Twose; Elizabeth A. Stuart; Hwanhee Hong; Peter Doshi; Catalina Suarez-Cuervo; Sonal Singh; Kay Dickersin
The correct title of the article [1] should be “Integrating multiple data sources (MUDS) for meta-analysis to improve patient-centered outcomes research: a protocol”.
Alzheimer's Research & Therapy | 2018
Evan Mayo-Wilson; Susan Hutfless; Tianjing Li; Gillian Gresham; Nicole Fusco; Jeffrey T. Ehmsen; James Heyward; Swaroop Vedula; Diana Lock; Jennifer A. Haythornthwaite; Jennifer L. Payne; Theresa Cowley; Elizabeth Tolbert; Lori Rosman; Claire Twose; Elizabeth A. Stuart; Hwanhee Hong; Peter Doshi; Catalina Suarez-Cuervo; Sonal Singh; Kay Dickersin
CorrectionThe correct title of the article [1] should be “Integrating multiple data sources (MUDS) for meta-analysis to improve patient-centered outcomes research: a protocol”. The article is a protocol for a methodological study, not a systematic review.
Journal of The Medical Library Association | 2008
Kathleen Burr Oliver; Prudence W. Dalrymple; Harold P. Lehmann; Deborah Ann McClellan; Karen A. Robinson; Claire Twose
Studies in Family Planning | 2015
Valerie K. Scott; Lindsey B. Gottschalk; Kelsey Wright; Claire Twose; Meghan A. Bohren; Megan E. Schmitt; Nuriye Ortayli
Research Synthesis Methods | 2014
Tianjing Li; Ian J Saldanha; S. Swaroop Vedula; Tsung Yu; Lori Rosman; Claire Twose; Steven N. Goodman; Kay Dickersin