This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
research:project_proposal_template_3 [2016/09/20 00:52] schillil |
research:project_proposal_template_3 [2018/04/20 20:30] evan [OHDSI Perioperative Prediction: Development and Validation of Prognostic Prediction models for Post-Operative Outcomes of Interest] |
||
---|---|---|---|
Line 1: | Line 1: | ||
- | ====== <Concordance with guidelines set forth by the American Academy of Dermatology (AAD) among general practitioners and dermatologists for the treatment of acne vulgaris>====== | + | ====== OHDSI Perioperative Prediction: Development and Validation of Prognostic Prediction models for Post-Operative Outcomes of Interest ====== |
<WRAP box justify round> | <WRAP box justify round> | ||
- | **Objective:** //<This study aims to evaluate concordance with guidelines written by the AAD for the treatment of acne vulgaris with an emphasis on use of systemic antibiotic therapy and topical retinoids. Guidelines published by the AAD recommend treating acne vulgaris with oral antibiotics for no more than 6 months and with the concomitant use of a topical retinoid. Our objective is to determine if prescribing behaviors of general practitioners and dermatologists for the treatment of acne in the United States and other countries are in accordance with these guidelines.>// | + | **Objective:** //To create a set of patient level prediction models for patients undergoing non-maternal, non-cardiac surgeries, examining a set of post-operative outcomes of interest// |
- | **Rationale:** //<Acne vulgaris is one of the most common inflammatory skin disorders, especially among adolescents. Quality of life is often affected in patients with acne,1 but side effects of systemic antibiotic therapy can be significant, and include inflammatory bowel disease (IBD), candida vulvovaginitis, photosensitivity, and drug eruptions. The American Academy of Dermatology (AAD) has published guidelines informing use of systemic antibiotics for the management of acne. Tetracylines are recommended as first-line antibiotic therapy. The duration of therapy is advised be as short as possible, ideally 3-4 months and no longer than 6 months.2 This is in line with antibiotic stewardship and a desire to minimize antibiotic resistance. Monotherapy with oral antibiotics is strongly discouraged and concomitant treatment with a topical retinoid or topical retinoid/benzoyl peroxide is strongly recommended to increase efficacy. A large retrospective cohort study assessing the medical management of acne among teenagers in the United Kingdom found that of antibiotic courses prescribed by general practitioners, 62% were not associated with a topical retinoid and 29% exceeded 6 months in duration.3 The conclusion of this study was that prescribing behavior for oral antibiotics for the treatment of acne by general practitioners was not aligned with current AAD recommendations. Our study aims to determine concordance with AAD recommendations among general practitioners and dermatologists in the United States and other countries for the management of acne with oral antibiotics. To achieve this aim, we will analyze data from the OHDSI database. We would also like to include as many other countries as possible depending on availability of information within the OHDSI system.>// | + | **Rationale:** //Surgical procedures are frequently performed in large health care systems, with over 15 million invasive surgeries per year in the United States (1). Serious complication rates arise in this population (2). In an effort to counsel patients and reduce their cardiac and non-cardiac surgical risks, the field of perioperative medicine often looks to multivariate prediction models across outcomes of interest. Point of care deployments of these often favour parsimonious models (e.g. the 6 point Revised Cardiac Risk Index (3)). These could potentially be outperformed or complemented by machine learning approaches to prediction that utilize a comprehensive representation of the patient record as a feature source, especially as point of care application becomes automated in the era of the electronic medical record. // |
- | **Project Lead(s):** //<Stephanie Chapman, Renee Domozych, Jessica Mounessa, Robert P. Dellavalle, Lisa Schilling>// | + | **Project Lead(s):** //Evan Minty, Lichy Han, Nigam Shah// |
- | **Coordinating Institution(s):** //<University of Colorado School of Medicine>// | + | **Coordinating Institution(s):** //Stanford University// |
- | ** Additional Participants:** //<>// | + | ** Additional Participants:** //Collaborators Welcome// |
- | **Full Protocol:** //<>// | + | **Full Protocol:** //in development// |
- | **Initial Proposal Date:** August 25, 2016 | + | **Initial Proposal Date:** April 20 2018 |
- | **Launch Date:** //<TBD>// | + | **Launch Date:** //TBA// |
- | **Study Closure Date: //<TBD>//** | + | **Study Closure Date: //TBA//** |
- | **Results Submission:** //<[mailto:Lisa.Schilling@ucdenver.edu]>// | + | **Results Submission:** //TBA// |
</WRAP> | </WRAP> | ||
- | |||
===== Requirements ===== | ===== Requirements ===== | ||
**CDM:** //<V4 or V5 or both>// | **CDM:** //<V4 or V5 or both>// | ||
- | **Table Accessed:** //<person, drug_exposure, observations>// | + | **Table Accessed:** //<e.g., person, drug_exposure, observations>// |
**Database Dialects:** SQL Server, Postgres, Oracle | **Database Dialects:** SQL Server, Postgres, Oracle | ||
- | **Software:** //<<R>// | + | **Software:** //<<e.g., R>// |
===== Code ===== | ===== Code ===== |