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1.
J Patient Saf ; 18(6): 526-530, 2022 09 01.
Article in English | MEDLINE | ID: mdl-35797583

ABSTRACT

ABSTRACT: Medication errors are the most common type of error in hospitals and reflect a leading cause of avoidable harm to patients. Bar code medication administration (BCMA) systems are a technology designed to help intercept medication errors at the point of medication administration. This article describes the process of developing, testing, and refining a standard for BCMA adoption and use in U.S. hospitals, as measured through the Leapfrog Hospital Survey. Building on the published literature and an expert panel's collective experience in studying, implementing, and using BCMA systems, the expert panel recommended a standard with 4 key domains. Leapfrog's BCMA standard provides hospitals with a "how-to guide" on what best practice looks like for using BCMA to ensure safe medication administration at the bedside.


Subject(s)
Electronic Data Processing , Medication Systems, Hospital , Hospitals , Humans , Inpatients , Medication Errors/prevention & control
3.
Diagnosis (Berl) ; 4(2): 73-78, 2017 06 27.
Article in English | MEDLINE | ID: mdl-29536922

ABSTRACT

BACKGROUND: A 2015 National Academy of Medicine report on improving diagnosis in health care made recommendations for direct action by hospitals and health systems. Little is known about how health care provider organizations are addressing diagnostic safety/quality. METHODS: This study is an anonymous online survey of safety professionals from US hospitals and health systems in July-August 2016. The survey was sent to those attending a Leapfrog Group webinar on misdiagnosis (n=188). The instrument was focused on knowledge, attitudes, and capability to address diagnostic errors at the institutional level. RESULTS: Overall, 61 (32%) responded, including community hospitals (42%), integrated health networks (25%), and academic centers (21%). Awareness was high, but commitment and capability were low (31% of leaders understand the problem; 28% have sufficient safety resources; and 25% have made diagnosis a top institutional safety priority). Ongoing efforts to improve diagnostic safety were sparse and mostly included root cause analysis and peer review feedback around diagnostic errors. The top three barriers to addressing diagnostic error were lack of awareness of the problem, lack of measures of diagnostic accuracy and error, and lack of feedback on diagnostic performance. The top two tools viewed as critically important for locally tackling the problem were routine feedback on diagnostic performance and culture change to emphasize diagnostic safety. CONCLUSIONS: Although hospitals and health systems appear to be aware of diagnostic errors as a major safety imperative, most organizations (even those that appear to be making a strong commitment to patient safety) are not yet doing much to improve diagnosis. Going forward, efforts to activate health care organizations will be essential to improving diagnostic safety.


Subject(s)
Diagnostic Errors/statistics & numerical data , Health Personnel/organization & administration , Patient Safety , Awareness , Efficiency, Organizational , Health Knowledge, Attitudes, Practice , Humans , Internet , Surveys and Questionnaires , United States
4.
Am J Med Qual ; 31(2): 147-55, 2016.
Article in English | MEDLINE | ID: mdl-25381001

ABSTRACT

Publicly reported hospital performance data have become widely available to health care consumers in recent years. In response to a growing demand for more readily available health care information, various organizations have begun assessing hospital performance. These performance reporting systems have tremendous potential to aid patients, families, and primary care providers in their clinical decision making. This study takes a systematic approach to review the main features of 9 existing hospital rating systems, each of which is described using 9 areas of evaluation. The hospital rating systems included in this study vary widely in scope, methodology, transparency, and presentation of their results. Their results often present conflicting conclusions regarding the performance of the same hospital. This review of hospital rating systems demonstrates how public reporting may add confusion to patients' health care decision making.


Subject(s)
Benchmarking/methods , Benchmarking/statistics & numerical data , Hospital Administration/statistics & numerical data , Quality of Health Care/statistics & numerical data , Patient Safety/statistics & numerical data , Residence Characteristics
6.
J Hosp Med ; 9(2): 111-5, 2014 Feb.
Article in English | MEDLINE | ID: mdl-24420641

ABSTRACT

Nationally, there is strong interest in measuring hospital performance in patient safety. The Leapfrog Group uses a survey, along with other data sources, to calculate patient safety scores for 2600 hospitals across the United States. Under this methodology, every hospital is assigned 1 of 5 letter grades (A, B, C, D, F) depending on how the hospital stands in safety performance relative to all other hospitals. The results have been widely marketed and disseminated to employers, payors, and the public. Leapfrog strongly encourages employers and payors to negotiate hospital reimbursement rates based on the safety grade the hospital receives. Leapfrog's effort to develop a standardized method to provide patient safety information should be commended. However, less than one-half of the 2600 hospitals participated in the Leapfrog survey. For those nonparticipating hospitals, certain safety measures were absent and alternative measures were used to calculate the safety score. A sample of the nation's most prestigious hospitals (n = 35) was drawn from the U.S. News & World Report's "Best Hospitals." Overall, the group of participating hospitals (n = 18) received an average grade of A (mean safety score = 3.165), whereas the group of nonparticipating hospitals received an average grade of B (mean safety score = 3.012). These nonparticipating hospitals were rescored using the methodology for participating hospitals. The results show that the majority of nonparticipating hospitals would have received a better safety grade. This demonstrates a potential shortcoming of Leapfrog's method and its tendency to discriminate against nonparticipating hospitals.


Subject(s)
Data Collection , Hospitals/standards , Patient Safety/standards , Safety Management/standards , Data Collection/methods , Humans , Safety Management/methods , United States/epidemiology
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