Journal article
Use of health information technology (HIT) to improve statin adherence and low-density lipoprotein cholesterol goal attainment in high-risk patients: Proceedings from a workshop
Journal of clinical lipidology, v 7(6), pp 573-609
01 Dec 2013
PMID: 24314357
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The workshop discussions focused on how low-density lipoprotein cholesterol (LDL-C) goal attainment can be enhanced with the use of health information technology (HIT) in different clinical settings. A gap is acknowledged in LDL-C goal attainment, but because of the passage of the American Recovery & Reinvestment Act and the Health Information Technology for Economic and Clinical Health Acts there is now reason for optimism that this gap can be narrowed. For HIT to be effectively used to achieve treatment goals, it must be implemented in a setting in which the health care team is fully committed to achieving these goals. Implementation of HIT alone has not resulted in reducing the gap. It is critical to build an effective management strategy into the HIT platform without increasing the overall work/time burden on staff. By enhancing communication between the health care team and the patient, more timely adjustments to treatment plans can be made with greater opportunity for LDL-C goal attainment and improved efficiency in the long run. Patients would be encouraged to take a more active role. Support tools are available. The National Lipid Association has developed a toolkit designed to improve patient compliance and could be modified for use in an HIT system. The importance of a collaborative approach between nongovernmental organizations such as the National Lipid Association, National Quality Forum, HIT partners, and other members of the health care industry offers the best opportunity for long-term success and the real possibility that such efforts could be applied to other chronic conditions, for example, diabetes and hypertension. (C) 2013 National Lipid Association. All rights reserved.
Metrics
Details
- Title
- Use of health information technology (HIT) to improve statin adherence and low-density lipoprotein cholesterol goal attainment in high-risk patients: Proceedings from a workshop
- Creators
- Jerome D. Cohen - Saint Louis UniversityKaren E. Aspry - Brown UniversityAlan S. Brown - Advocate Lutheran General HospitalJoAnne M. Foody - Brigham and Women's HospitalRoy Furman - Health Decisions (United States)Terry A. Jacobson - Emory UniversityDean G. Karalis - University of Pennsylvania Health SystemPenny M. Kris-Etherton - Pennsylvania State UniversityRalph LaForge - Cardiometabolic Risk Management Consultants, Durham, NC, USAMichael F. O'Toole - Advocate Lutheran General HospitalRonald D. Scott - Kaiser PermanenteJames A. Underberg - New York UniversityThomas B. Valuck - National Quality ForumKaye-Eileen Willard - Wheaton Franciscan HealthcarePaul E. Ziajka - The Florida Lipid Institute, Orlando, FL, USAMatthew K. Ito - Oregon Health & Science University
- Publication Details
- Journal of clinical lipidology, v 7(6), pp 573-609
- Publisher
- Elsevier
- Number of pages
- 37
- Grant note
- Genzyme Corporation; Sanofi-Aventis Almond Board of California Western Pistachio Association AbbVie Inc; AbbVie Merck Co, Inc.; Merck & Company Merck Co Inc; Merck & Company Amarin Corporation Peanut Institute News Corporation Aegerion Pharmaceuticals, Inc.; Takeda Pharmaceutical Company Ltd Amgen, Inc.; Amgen General Mills Inc Guidepoint Global Publicis, Inc Hunter Heart Lab Genzyme; Sanofi-Aventis; Genzyme Corporation Pfizer Inc; Pfizer Regeneron Pharmaceuticals, Inc; Regeneron Hass Avocado Board Sanofi
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- College of Medicine
- Web of Science ID
- WOS:000328587900006
- Scopus ID
- 2-s2.0-84889664945
- Other Identifier
- 991019348823604721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Pharmacology & Pharmacy