2.50
Hdl Handle:
http://hdl.handle.net/10755/153770
Type:
Presentation
Title:
Predictors of Medication Administration Error in Elderly Home Care Patients
Abstract:
Predictors of Medication Administration Error in Elderly Home Care Patients
Conference Sponsor:Sigma Theta Tau International
Conference Year:2004
Conference Date:July 22-24, 2004
Author:Prasanatikom, Worranan, RN, PHD
P.I. Institution Name:Faculty of Medicine Ramathibodi Hospital, Mahidol University
Title:Nursing Instructor
Co-Authors:Elizabeth A. Madigan, PhD, RN
Objective: To indentify potential predictors of medication administration error in elderly home care patients in Thailand Design: Predictive design utilizing secondary analysis Population, Sample, Setting, Years: The sample of 132 was selected from a data set of a home care study. The population were patients who received home care from Ramathibodi hospital in Bangkok, Thailand during August 1 to December 31, 2002. Inclusion criterian of this study was elderly patients aged 60 and older without missing data. Concept or Variables Studied together or Intervention and Outcome Variable: Conceptual framework applied was the Andersen Model which included patients' factors, health services and medication administration error. Methods: Data were abstracted from the home care data set. Findings: Incidence of medication error was highest at the first visit (23.5%) and decreased in other visits. Cardiovascular medications were the most common classification for medication errors. The significant factors between groups of patients with and without medication error were number of home medications, self-administration of medication and evaluation of discharge planning. The predictability of the final logistic model was 75.8% and four factors best predicted medication error: fewer medical conditions (OR = .42), more home medications (OR = 1.17), more OTC medications (OR = 2.08) and not receiving evaluation of discharge planning (OR = .58). Conclusion: The study findings showed that the incidence of medication administration error potentially happened in elderly patients whose medical conditions were not serious, who had a large number of home medications, bought OTC medications and did not get evaluation after discharge planning. Implication: The results of the study suggest the important of effective discharge planning and outcome measures. Home care for chronically ill elderly patients with a large number of home medications should be considered followed hospital discharge to prevent medication administration error.
Repository Posting Date:
26-Oct-2011
Date of Publication:
22-Jul-2004
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titlePredictors of Medication Administration Error in Elderly Home Care Patientsen_GB
dc.identifier.urihttp://hdl.handle.net/10755/153770-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Predictors of Medication Administration Error in Elderly Home Care Patients</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2004</td></tr><tr class="item-conference-date"><td class="label">Conference Date:</td><td class="value">July 22-24, 2004</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Prasanatikom, Worranan, RN, PHD</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">Faculty of Medicine Ramathibodi Hospital, Mahidol University</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Nursing Instructor</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">worranan_01@hotmail.com</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Elizabeth A. Madigan, PhD, RN</td></tr><tr><td colspan="2" class="item-abstract">Objective: To indentify potential predictors of medication administration error in elderly home care patients in Thailand Design: Predictive design utilizing secondary analysis Population, Sample, Setting, Years: The sample of 132 was selected from a data set of a home care study. The population were patients who received home care from Ramathibodi hospital in Bangkok, Thailand during August 1 to December 31, 2002. Inclusion criterian of this study was elderly patients aged 60 and older without missing data. Concept or Variables Studied together or Intervention and Outcome Variable: Conceptual framework applied was the Andersen Model which included patients' factors, health services and medication administration error. Methods: Data were abstracted from the home care data set. Findings: Incidence of medication error was highest at the first visit (23.5%) and decreased in other visits. Cardiovascular medications were the most common classification for medication errors. The significant factors between groups of patients with and without medication error were number of home medications, self-administration of medication and evaluation of discharge planning. The predictability of the final logistic model was 75.8% and four factors best predicted medication error: fewer medical conditions (OR = .42), more home medications (OR = 1.17), more OTC medications (OR = 2.08) and not receiving evaluation of discharge planning (OR = .58). Conclusion: The study findings showed that the incidence of medication administration error potentially happened in elderly patients whose medical conditions were not serious, who had a large number of home medications, bought OTC medications and did not get evaluation after discharge planning. Implication: The results of the study suggest the important of effective discharge planning and outcome measures. Home care for chronically ill elderly patients with a large number of home medications should be considered followed hospital discharge to prevent medication administration error.</td></tr></table>en_GB
dc.date.available2011-10-26T12:30:14Z-
dc.date.issued2004-07-22en_GB
dc.date.accessioned2011-10-26T12:30:14Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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