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1.
Jt Comm J Qual Patient Saf ; 43(5): 251-258, 2017 05.
Article in English | MEDLINE | ID: mdl-28434459

ABSTRACT

BACKGROUND: Ambulatory central-line infections in children with cancer are life-threatening. Infections are two to three times more frequent in outpatients than inpatients, for whom evidence-based bundles have decreased morbidity. Most cancer care now takes place at home, where parents perform many of the same tasks as nurses. However, parents often feel stressed and unprepared. To address this, high-fidelity simulation, which has been effective for teaching novice nurses, was evaluated for parent central-line education. METHODS: In a feasibility study using a pretest/posttest design, after completion of usual central-line education, parents participated in a high-fidelity simulation practice session. Parents were assessed in three domains: (1) knowledge of infection prevention; (2) psychomotor skill competence; and (3) ability to recognize health care provider nonadherence to best practices. Parents also completed a 5-point Likert simulation experience survey. RESULTS: A convenience sample of 17 parents participated between December 2015 and March 2016. Knowledge median scores increased from pre- to posttest from 10 to 15 of 16 points possible (p ≤ 0.001; Wilcoxon signed rank test). Median skills scores increased from pre- to posttest from 8 to 12 points of 12 possible (p ≤ 0.001). Following simulation, median recognition scores increased from 3 to 6 with 6 points possible (p ≤ 0.001). For the parent experience survey, 100% of participants strongly agreed or agreed that simulation was meaningful for learning central-line care. CONCLUSIONS: As an adjunct to usual care central-line education, translation of high-fidelity simulation to parent education is a novel approach that shows promise for improving central-line care at home in children with cancer.


Subject(s)
Catheter-Related Infections/prevention & control , Health Knowledge, Attitudes, Practice , High Fidelity Simulation Training/organization & administration , Neoplasms/therapy , Parents/education , Academic Medical Centers , Adult , Child , Female , Humans , Male , Middle Aged , Pilot Projects , Psychomotor Performance
2.
Arch Pediatr Adolesc Med ; 160(5): 495-8, 2006 May.
Article in English | MEDLINE | ID: mdl-16651491

ABSTRACT

OBJECTIVE: To implement and evaluate the impact of computerized provider order entry (CPOE) on reducing ordering errors in pediatric chemotherapy. DESIGN: Before-and-after study from 2001 to 2004. SETTING: Pediatric Oncology in an academic medical center. INTERVENTION: Implementation of a CPOE system guided by multidisciplinary failure modes and effects analysis into pediatric chemotherapy. MAIN OUTCOME MEASURES: Completion data on chemotherapy steps of high morbidity/mortality potential if missed (as determined by attending oncologists) from 1259 pre-CPOE paper and 1116 post-CPOE pediatric chemotherapy orders. RESULTS: After CPOE deployment, daily chemotherapy orders were less likely to have improper dosing (relative risk [RR], 0.26; 95% confidence interval [CI], 0.11-0.61), incorrect dosing calculations (RR, 0.09; 95% CI, 0.03-0.34), missing cumulative dose calculations (RR, 0.32; 95% CI, 0.14-0.77), and incomplete nursing checklists (RR, 0.51; 95% CI, 0.33-0.80). There was no difference in the likelihood of improper dosing on treatment plans and a higher likelihood of not matching medication orders to treatment plans (RR, 5.4; 95% CI, 3.1-9.5). CONCLUSION: Failure modes and effects analysis-guided CPOE reduced ordering errors in pediatric chemotherapy and provided data for further improvements.


Subject(s)
Antineoplastic Agents/administration & dosage , Clinical Pharmacy Information Systems/organization & administration , Drug Therapy, Computer-Assisted/organization & administration , Medical Order Entry Systems/organization & administration , Medication Errors/prevention & control , Academic Medical Centers , Baltimore , Child , Humans , Medical Audit , Neoplasms/drug therapy , Patient Care Team , User-Computer Interface
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