Literature DB >> 17915527

Preventing harm from high-alert medications.

Frank Federico1.   

Abstract

BACKGROUND: One of the 12 interventions that the Institute for Healthcare Improvement (IHI) recommends for its 5 Million Lives Campaign is "Prevent Harm from High-Alert Medications . . . starting with a focus on anticoagulants, sedatives, narcotics, and insulin." EXECUTING SYSTEM-LEVEL CHANGES: Three essential elements are needed to execute system-level changes in an organization: will, ideas, and execution. Will is developed by examining the status quo in an organization and agreeing that it is no longer acceptable. Ideas-changes that will make the system safer-can be found in the literature and in the experience of other hospitals and are the basis for the recommended general interventions to reduce errors and harm associated with high-alert medications. Execution, the process of making those changes real, requires commitment from senior leaders and clinical leaders, along with the organizational capacity to improve. The steps in the medication system are so interrelated that a change in one area will affect others' ability to complete their work. In addition, senior leadership and clinical leadership must visibly support the effort, connecting the reduction in high-alert medication-related harm to the overall hospital goal of harm reduction is essential.
CONCLUSION: The campaign's goal is to achieve a 50% reduction in harm related to high-alert medications. Employing strategies such as standardization and simplification will provide the foundation for improved medication safety.

Entities:  

Mesh:

Year:  2007        PMID: 17915527     DOI: 10.1016/s1553-7250(07)33057-2

Source DB:  PubMed          Journal:  Jt Comm J Qual Patient Saf        ISSN: 1553-7250


  13 in total

1.  Electronic health records and adverse drug events after patient transfer.

Authors:  K S Boockvar; E E Livote; N Goldstein; J R Nebeker; A Siu; T Fried
Journal:  Qual Saf Health Care       Date:  2010-08-19

2.  Medication errors in patients with severe chronic kidney disease and acute coronary syndrome: the impact of computer-assisted decision support.

Authors:  Richard V Milani; Sylvia A Oleck; Carl J Lavie
Journal:  Mayo Clin Proc       Date:  2011-12       Impact factor: 7.616

3.  Effect of Health Information Exchange Plus a Care Transitions Intervention on Post-Hospital Outcomes Among VA Primary Care Patients: a Randomized Clinical Trial.

Authors:  Kenneth S Boockvar; Nicholas S Koufacos; Justine May; Ashley L Schwartzkopf; Vivian M Guerrero; Kimberly M Judon; Cathy C Schubert; Emily Franzosa; Brian E Dixon
Journal:  J Gen Intern Med       Date:  2022-02-23       Impact factor: 5.128

4.  A Comparative Safety Analysis of Medicines Based on the UK Pharmacovigilance and General Practice Prescribing Data in England.

Authors:  Kinan Mokbel; Rob Daniels; Michael N Weedon; Leigh Jackson
Journal:  In Vivo       Date:  2022 Mar-Apr       Impact factor: 2.155

5.  Prescribing discrepancies likely to cause adverse drug events after patient transfer.

Authors:  K S Boockvar; S Liu; N Goldstein; J Nebeker; A Siu; T Fried
Journal:  Qual Saf Health Care       Date:  2009-02

6.  An individual patient data meta-analysis on factors associated with adverse drug events in surgical and non-surgical inpatients.

Authors:  Eveline B Boeker; Kim Ram; Joanna E Klopotowska; Monica de Boer; Montse Tuset Creus; Ana L de Andrés; Mio Sakuma; Takeshi Morimoto; Marja A Boermeester; Marcel G W Dijkgraaf
Journal:  Br J Clin Pharmacol       Date:  2015-04       Impact factor: 4.335

Review 7.  A Systematic Approach for the Prevention and Reduction of Hypoglycemia in Hospitalized Patients.

Authors:  Paulina Cruz; Mary Clare Blackburn; Garry S Tobin
Journal:  Curr Diab Rep       Date:  2017-10-05       Impact factor: 4.810

8.  Effect of health information exchange on recognition of medication discrepancies is interrupted when data charges are introduced: results of a cluster-randomized controlled trial.

Authors:  Kenneth S Boockvar; William Ho; Jennifer Pruskowski; Katherine E DiPalo; Jane J Wong; Jessica Patel; Jonathan R Nebeker; Rainu Kaushal; William Hung
Journal:  J Am Med Inform Assoc       Date:  2017-11-01       Impact factor: 4.497

9.  Asan medical information system for healthcare quality improvement.

Authors:  Hyeon Jeong Ryu; Woo Sung Kim; Jae Ho Lee; Sung Woo Min; Sun Ja Kim; Yong Su Lee; Young Ha Lee; Sang Woo Nam; Gi Seung Eo; Sook Gyoung Seo; Mi Hyun Nam
Journal:  Healthc Inform Res       Date:  2010-09-30

10.  A wise nurse can manage a paper protocol but prefers intelligent technology.

Authors:  Mathijs Vogelzang; Felix Zijlstra; Maarten W N Nijsten
Journal:  Crit Care       Date:  2007       Impact factor: 9.097

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