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1.
Pediatr Emerg Care ; 34(10): 740-742, 2018 Oct.
Article in English | MEDLINE | ID: mdl-30281577

ABSTRACT

OBJECTIVE: In order to standardize use of our hospital's computerized asthma order set, which was developed based on an asthma clinical practice guideline, for moderately ill children presenting for care of asthma, we developed a quality improvement bundle, including a time-limited pay-for-performance component, for pediatric emergency department and pediatric urgent care faculty members. METHODS: Following baseline measurement, we used a run-in period for education, feedback, and improvement of the asthma order set. Then, faculty members earned 0.1% of salary during each of 10 successive months (evaluation period) in which the asthma order set was used in managing 90% or more of eligible patients. RESULTS: At baseline, the asthma order set was used in managing 60.5% of eligible patients. Order set use rose sharply during the run-in period. During the 10-month evaluation period, use of the asthma order set was significantly above baseline, with a mean of 91.6%; faculty earned pay-for-performance bonuses during 8 of 10 possible months. Following completion of the evaluation period, asthma order set use remained high. CONCLUSIONS: A quality improvement bundle, including a time-limited pay-for-performance component, was associated with a sustained increase in the use of a computerized asthma order set for managing moderately ill asthmatic children.


Subject(s)
Anti-Asthmatic Agents/administration & dosage , Asthma/drug therapy , Drug Therapy, Computer-Assisted/methods , Quality Improvement/statistics & numerical data , Ambulatory Care Facilities/statistics & numerical data , Child , Drug Therapy, Computer-Assisted/standards , Drug Therapy, Computer-Assisted/statistics & numerical data , Emergency Service, Hospital/statistics & numerical data , Humans , Reimbursement, Incentive/statistics & numerical data
2.
Pediatr Emerg Care ; 34(4): 250-252, 2018 Apr.
Article in English | MEDLINE | ID: mdl-27668922

ABSTRACT

OBJECTIVE: To describe the association of an unprecedented large-scale Enterovirus-D68 outbreak in 2014 with changes in patient volume and acuity and system stress in 2 pediatric emergency departments and 2 pediatric urgent care centers of a single children's hospital. METHODS: We compared measures of patient volume, acuity, and system stress during the 2014 Enterovirus-D68 outbreak and the corresponding dates of the previous year. RESULTS: Both settings experienced large census increases during the Enterovirus-D68 outbreak; patient census increased significantly more in the pediatric urgent care setting (20.3%) than in the pediatric emergency departments (14.3%). Both settings had significant increases in patient acuity. The proportion of pediatric emergency department patients requiring hospital admission increased; the proportion of patients who left the pediatric urgent care setting without being seen also increased. Although there was no emergency department inpatient boarding during the 2013 comparison period, 4.4% of admitted patients required emergency department boarding during the 2014 outbreak. There was no significant change in the mean length of stay or the probability that patient admission was to the pediatric intensive care unit. CONCLUSIONS: Both the pediatric emergency departments and the pediatric urgent care centers experienced increased patient volumes and acuity and significant system stress in association with the 2014 Enterovirus-D68 outbreak. These data will inform those planning resource allocation for future large-scale viral outbreaks.


Subject(s)
Ambulatory Care Facilities/statistics & numerical data , Emergency Service, Hospital/statistics & numerical data , Enterovirus Infections/epidemiology , Hospitals, Pediatric/statistics & numerical data , Censuses , Child , Child, Preschool , Disease Outbreaks/statistics & numerical data , Enterovirus D, Human , Hospitalization/statistics & numerical data , Humans , Intensive Care Units, Pediatric/statistics & numerical data , Length of Stay/statistics & numerical data , Patient Acuity , United States/epidemiology
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