The magnitude and intensity of medication use among our nation's 1.6 million nursing home residents matches or exceeds that of hospitalized patients. The residents of nursing homes are among the most frail patients in the population; the challenges of using medications in this setting are great, not only because of the physiologic declines and pharmacologic changes that occur with aging, but also because of the special clinical and social circumstances that often characterize nursing home care. In our previous research, we have determined that medication errors resulting in adverse drug events occur most often at the ordering and monitoring stages of pharmaceutical care. Clinical decision-support systems are clinical consultation systems that combine individual patient information with population statistics and scientific evidence to offer real-time information to health care providers. These systems have been found to improve the quality of medication prescribing in the hospital setting. In this study, we intend to determine the extent to which a computer-based clinical decision-support system (accompanying computerized provider order-entry) can improve the quality of medication ordering and monitoring for residents in the long-term care setting through a randomized trial. We will track the costs associated with this system and the system's impact on the productivity of providers. We will also assess the culture of U.S. nursing homes and the organization of the nursing home setting with respect to readiness to incorporate computerized provider order-entry with computer-based clinical decision support. Our project addresses specific areas that are of particular interest to AHRQ with special relevance to the delivery of high-quality care to a priority population--the frail elderly patient population residing in nursing homes. The project will assess the economic implications of health information technology in the nursing home environment that will be of interest to key stakeholders, including physicians, pharmacists, nurses, payers, policymakers, the nursing home industry, and pharmaceutical vendors to long-term care institutions.

Agency
National Institute of Health (NIH)
Institute
Agency for Healthcare Research and Quality (AHRQ)
Type
Research Project (R01)
Project #
5R01HS015430-02
Application #
6944011
Study Section
Special Emphasis Panel (ZHS1-HSR-H (01))
Program Officer
Mutter, Ryan
Project Start
2004-09-30
Project End
2007-09-29
Budget Start
2005-09-30
Budget End
2006-09-29
Support Year
2
Fiscal Year
2005
Total Cost
Indirect Cost
Name
University of Massachusetts Medical School Worcester
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
603847393
City
Worcester
State
MA
Country
United States
Zip Code
01655
Subramanian, Sujha; Hoover, Sonja; Wagner, Joann L et al. (2012) Immediate financial impact of computerized clinical decision support for long-term care residents with renal insufficiency: a case study. J Am Med Inform Assoc 19:439-42
Donovan, Jennifer L; Kanaan, Abir O; Thomson, Mary S et al. (2010) Effect of clinical decision support on psychotropic medication prescribing in the long-term care setting. J Am Geriatr Soc 58:1005-7
Field, Terry S; Rochon, Paula; Lee, Monica et al. (2009) Computerized clinical decision support during medication ordering for long-term care residents with renal insufficiency. J Am Med Inform Assoc 16:480-5
Thomson, Mary S; Gruneir, Andrea; Lee, Monica et al. (2009) Nursing time devoted to medication administration in long-term care: clinical, safety, and resource implications. J Am Geriatr Soc 57:266-72
Field, Terry S; Rochon, Paula; Lee, Monica et al. (2008) Costs associated with developing and implementing a computerized clinical decision support system for medication dosing for patients with renal insufficiency in the long-term care setting. J Am Med Inform Assoc 15:466-72
Wolfstadt, Jesse I; Gurwitz, Jerry H; Field, Terry S et al. (2008) The effect of computerized physician order entry with clinical decision support on the rates of adverse drug events: a systematic review. J Gen Intern Med 23:451-8
Gurwitz, Jerry H; Field, Terry S; Rochon, Paula et al. (2008) Effect of computerized provider order entry with clinical decision support on adverse drug events in the long-term care setting. J Am Geriatr Soc 56:2225-33