BackgroundAntibiotic delivery to patients with fever and neutropenia (F&N) in <60 min is an increasingly important quality measure for oncology centers, but several published reports indicate that a time to antibiotic delivery (TTA) of <60 min is quite difficult to achieve. Here we report a quality improvement (QI) effort that sought to decrease TTA and assess associated clinical outcomes in pediatric patients with cancer and F&N.ProcedureWe used Lean-Methodology and a Plan-Do-Study-Act approach to direct QI efforts and prospectively tracked TTA measures and associated clinical outcomes (length of stay, duration of fever, use of imaging studies to search for occult infection, bacteremia, intensive care unit (ICU) consultation or admission, and mortality). We then performed statistical analysis to determine the impact of our QI interventions on total TTA, sub-process times, and clinical outcomes.ResultsOur QI interventions significantly improved TTA such that we are now able to deliver antibiotics in <60 min nearly 100% of the time. All TTA sub-process times also improved. Moreover, achieving TTA <60 min significantly reduced the need for ICU consultation or admission (P = 0.003) in this population.ConclusionHere we describe our QI effort along with a detailed assessment of several associated clinical outcomes. These data indicate that decreasing TTA to <60 min is achievable and associated with improved outcomes in pediatric patients with cancer and F&N.
ABSTRACT. Objective. When deciding how much hospital resources should be allocated to comprehensive primary care clinics for children with multisystem disorders, it is important to consider all of the non-primary care revenue streams associated with these children as well as the effects of a comprehensive primary care program on access and quality. The objectives of this study were, first, to determine costs as well as the payments associated with hospital ambulatory and inpatient services for children with multisystem disorders followed by a comprehensive primary care clinic; and, second, to determine the effect of enrollment in a hospital-based comprehensive primary care clinic on ambulatory and inpatient utilization patterns and expenditures for children with multisystem disorders.Methods. The study population for the payment analysis consisted of 1012 children of all ages who were seen in the Special Primary Care Clinic (SPCC) in 2001. For these children, outcomes included direct costs, total (direct plus allocated overhead) costs, and payments per patient per 365 days after their first SPCC visit in 2001. A total of 175 of these patients were 4 years of age or older and had no SPCC visit before their first visit in 2001. We compared utilization and expenditures for the 175 children during the year before enrollment in SPCC with those in the year after enrollment. The Children's Hospital administrative database was used to document direct costs, total costs, and payments by type of service for 365 days after an index visit. Ambulatory services included medical and surgical ambulatory, inpatient, emergency department (ED), and ancillary services. We determined the proportion of children who had visits; the visit rates per 100 child-years; and the average total and direct costs per visit, per child with a visit, and per child-year. Inpatient services data included non-intensive care and intensive care hospitalization rates per 100 child-years; the proportion of children hospitalized; their average length of stay; and the average total and direct costs per hospitalization, per patient hospitalized, and per childyear of total patients in the cohort.Results. For 1012 children who were seen in SPCC in 2001, the hospital overall loss per child-year was $956. The loss per child-year for outpatient services was $1554. This loss was partially offset by a gain from inpatient services of $598. For the 175 patients for whom data were available to compare costs before and after enrollment in the SPCC, there were no significant differences in hospitalization or in direct costs per patient for patients who were hospitalized. The average length of non-intensive care stay was lower after enrollment (4.8 vs 11.7). In the surgical specialty analysis, children were more likely to see a surgeon after enrollment (41% vs 21%) and had a higher rate of visits per 100 child-years (102.3 vs 51.4). Differences in medical subspecialty, ancillary, and ED services did not achieve statistical significance.Conclusion. This study suggests tha...
BACKGROUND AND OBJECTIVES: Screening, early identification, and referral improves outcomes for young children at risk for developmental delays. Effective developmental screening processes should include efforts to ensure referral completion and documentation of evaluation results and service eligibility in the child' s medical record. Our objectives were to improve provider documentation of actions taken after an abnormal developmental screening result and increase Early Intervention (State Part C) referrals. METHODS:Various strategies including an electronic medical record template, monthly clinical informatics reporting, and a phone follow-up after an abnormal screening result were implemented to enhance provider documentation of screening results and improve referral actions and outcomes. RESULTS:Of the children eligible for screening (n = 3023), 2610 (86%) were screened, with 382 (15%) scoring in the abnormal range. With phone follow-up, 50% of the abnormal screenings were referred to community resources, including 43% to Early Intervention (EI), in contrast to 20% community referrals and 13% EI referrals with the screening template only (P , .0001). Provider documentation of EI outcomes increased when screening templates and follow-up calls were implemented together (31%) as compared with using the screening template alone (15%).CONCLUSIONS: Enhanced documentation of developmental screening efforts using screening templates and clinical informatics reporting in combination with phone follow-up after an abnormal screening result improved developmental screening outcomes, including referral rates, completed evaluations, and provider documentation of EI services. Such strategies can be effectively used in pediatric primary care settings to improve screening processes and ensure that young children access appropriate services. Dr Talmi conceptualized and designed the study, supervised intervention implementation, directed data collection, analysis, and preparation, drafted the initial manuscript, and reviewed and revised the manuscript; Dr Bunik helped conceptualize the study, oversaw developmental screening implementation, and drafted the results section of the initial manuscript; Mr Asherin developed the database management strategy used to integrate study data, managed data collection efforts, compiled and prepared data tables for the manuscript, and reviewed and revised the manuscript; Mr Rannie developed and implemented the clinical informatics reporting mechanisms used to gather data from electronic medical records, programmed informatics reports, and compiled data for analysis; Dr Watlington participated in study conceptualization and developed and implemented the provider templates (data collection tools) used to gather data; Ms Beaty prepared and analyzed the data and drafted sections of the manuscript; Dr Berman participated in study conceptualization, provided ongoing feedback during study implementation and data analysis, and critically reviewed the manuscript; and all authors approved the ...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.