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OpenTrials
Completed

NCT Number: NCT00599209

Health Information Technology in the Nursing Home

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.

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Key information

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Meyers Primary Care Institute

Worcester, Massachusetts, 01605, United States

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • prescriber at the study facility

Exclusion criteria

  • not a prescriber at the study facility

Treatment and study plan

Clinical Decision Support

Other

CDS is provided to prescribers on intervention units upon ordering medication which offers advice on prescribing and monitoring practices

Primary outcomes

  1. extent to which a computer-based clinical decision-support system (accompanying computerized provider order-entry) can improve the quality of medication ordering and monitoring

    Time frame: two years

Secondary outcomes

  1. costs associated with this system and the system's impact on the productivity of providers

    Time frame: two years

Sponsors and collaborators

Lead sponsor

University of Massachusetts, Worcester

Other

Collaborators

  • Agency for Healthcare Research and Quality (AHRQ)
  • Baycrest Centre for Geriatric Care

Registry information

Important dates

Study start
2004
Primary completion
2008
Study completion
2008
First posted
Jan 23, 2008
Registry last updated
Aug 4, 2011

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.