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Evaluation of Influenza Vaccine Clinical Decision Support Systems Bundle for Hospitalized Children
Swaminathan Kandaswamy1, Erin Masterson2, Reena Blanco1,3
1Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia.
Insights
Clinical decision support (CDS) strategies significantly improved influenza vaccination rates in hospitalized children. However, rates declined over time, suggesting a need to reassess CDS effectiveness and address potential external factors like vaccine hesitancy.
Area of Science:
- Pediatric Hospital Medicine
- Infectious Disease Prevention
- Health Informatics
Background:
- Hospitalized children face higher risks for influenza complications.
- Influenza vaccine coverage is notably low in this pediatric population.
- Clinical decision support (CDS) strategies may enhance inpatient vaccination rates.
Purpose of the Study:
- To evaluate the effectiveness of multiple CDS strategies in improving influenza vaccination among hospitalized children.
- To assess the impact of novel CDS tools, including vaccine status notifications and conditional discharge alerts.
Main Methods:
- Retrospective cohort study of 46,706 hospitalizations across four influenza seasons (2018-2022).
- Evaluation of three CDS interventions: prechecked orders, vaccine status notifications, and conditional discharge alerts.
- Mixed-effects logistic regression analysis adjusted for season and demographics.
Main Results:
- All three CDS interventions demonstrated statistically significant improvements in influenza vaccine administration rates.
- Prechecked orders (aOR 2.28), conditional discharge alerts (aOR 1.82), and vaccine status notifications (aOR 1.19) all increased vaccination.
- Vaccination rates peaked in the 2019-2020 season, declining in subsequent years, with a significant drop in 2021-2022 (aOR 0.34).
Conclusions:
- Clinical decision support significantly boosts influenza vaccination rates in hospitalized children.
- A temporal decline in vaccination rates suggests potential waning CDS effectiveness or influence of external factors.
- Factors such as COVID-19 and increased vaccine hesitancy may contribute to decreased vaccination rates over time.
Background:
Hospitalized children are at increased risk of influenza-related complications; however, influenza vaccine coverage remains low among this group. We aim to evaluate the effectiveness of a suite of clinical decision support (CDS) strategies to improve inpatient influenza vaccination in children.
Methods:
We conducted this retrospective cohort study among hospitalized children eligible for the seasonal influenza vaccine. We evaluated the influence of various CDS strategies on influenza vaccine administration rates from September 1, 2018, through May 1, 2022, using mixed-effects logistic regression adjusting for influenza season and demographic factors. In addition to our original CDS (prechecked influenza vaccine order in admission order sets), we designed and implemented 2 additional novel CDS tools, ie, vaccine status notifications and a conditional discharge alert on a patient who had an order without influenza vaccination administration, which were implemented using a sequential crossover design from control to intervention.
Results:
There were 46 706 eligible hospitalizations across the 4 influenza seasons. In multivariable analysis, all 3 CDS interventions significantly improved influenza vaccine rates compared to those who did not receive any intervention (influenza vaccine order group: adjusted odds ratio [aOR] 2.28, 95% CI: 2.14-2.42; conditional discharge alert: aOR 1.82, 95% CI: 1.56-2.12; vaccine status notifications: aOR 1.19, 95% CI: 1.04-1.37). Vaccination was highest in the 2019 to 2020 influenza season, with falling rates in the subsequent years (2021-2022 season: aOR 0.34, 95% CI: 0.28-0.40).
Conclusions:
CDS improved influenza vaccination rates in hospitalized children. However, decreased rates over time may indicate waning CDS effectiveness or external factors such as COVID-19, as well as increased vaccine hesitancy.
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Nursing Clinical Information System
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
Vaccinations

