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Implementation of a multi-site neonatal simulation improvement program: a cost analysis
by
Yamada, Nicole
, Bohnert, Janine
, Xu, Xiao
, Lee, Henry C.
, Yao, John
in
California
/ Cardiopulmonary resuscitation
/ Care and treatment
/ Cost analysis
/ Cost benefit analysis
/ Costs and Cost Analysis
/ CPR
/ Data collection
/ Data entry
/ Design
/ Didacticism
/ Economic aspects
/ Education
/ Evaluation
/ Health Administration
/ Health Informatics
/ Hospitals
/ Humans
/ In situ simulation
/ Infant, Newborn
/ Infants (Newborn)
/ Intensive care
/ Medical care, Cost of
/ Medicine
/ Medicine & Public Health
/ Neonatal care
/ Neonatal resuscitation program
/ Newborn babies
/ Nursing Research
/ Patients
/ Physicians
/ Public Health
/ Quality control
/ Quality Improvement
/ Real estate sales
/ Resuscitation - economics
/ Resuscitation - education
/ Simulation
/ Simulation methods
/ Simulation science
/ Simulation Training - economics
/ Success
/ Training
/ Useful life
/ Wage rates
/ Wages & salaries
2024
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Implementation of a multi-site neonatal simulation improvement program: a cost analysis
by
Yamada, Nicole
, Bohnert, Janine
, Xu, Xiao
, Lee, Henry C.
, Yao, John
in
California
/ Cardiopulmonary resuscitation
/ Care and treatment
/ Cost analysis
/ Cost benefit analysis
/ Costs and Cost Analysis
/ CPR
/ Data collection
/ Data entry
/ Design
/ Didacticism
/ Economic aspects
/ Education
/ Evaluation
/ Health Administration
/ Health Informatics
/ Hospitals
/ Humans
/ In situ simulation
/ Infant, Newborn
/ Infants (Newborn)
/ Intensive care
/ Medical care, Cost of
/ Medicine
/ Medicine & Public Health
/ Neonatal care
/ Neonatal resuscitation program
/ Newborn babies
/ Nursing Research
/ Patients
/ Physicians
/ Public Health
/ Quality control
/ Quality Improvement
/ Real estate sales
/ Resuscitation - economics
/ Resuscitation - education
/ Simulation
/ Simulation methods
/ Simulation science
/ Simulation Training - economics
/ Success
/ Training
/ Useful life
/ Wage rates
/ Wages & salaries
2024
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Implementation of a multi-site neonatal simulation improvement program: a cost analysis
by
Yamada, Nicole
, Bohnert, Janine
, Xu, Xiao
, Lee, Henry C.
, Yao, John
in
California
/ Cardiopulmonary resuscitation
/ Care and treatment
/ Cost analysis
/ Cost benefit analysis
/ Costs and Cost Analysis
/ CPR
/ Data collection
/ Data entry
/ Design
/ Didacticism
/ Economic aspects
/ Education
/ Evaluation
/ Health Administration
/ Health Informatics
/ Hospitals
/ Humans
/ In situ simulation
/ Infant, Newborn
/ Infants (Newborn)
/ Intensive care
/ Medical care, Cost of
/ Medicine
/ Medicine & Public Health
/ Neonatal care
/ Neonatal resuscitation program
/ Newborn babies
/ Nursing Research
/ Patients
/ Physicians
/ Public Health
/ Quality control
/ Quality Improvement
/ Real estate sales
/ Resuscitation - economics
/ Resuscitation - education
/ Simulation
/ Simulation methods
/ Simulation science
/ Simulation Training - economics
/ Success
/ Training
/ Useful life
/ Wage rates
/ Wages & salaries
2024
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Implementation of a multi-site neonatal simulation improvement program: a cost analysis
Journal Article
Implementation of a multi-site neonatal simulation improvement program: a cost analysis
2024
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Overview
Background
To improve patient outcomes and provider team practice, the California Perinatal Quality Care Collaborative (CPQCC) created the Simulating Success quality improvement program to assist hospitals in implementing a neonatal resuscitation training curriculum. This study aimed to examine the costs associated with the design and implementation of the Simulating Success program.
Methods
From 2017–2020, a total of 14 sites participated in the Simulating Success program and 4 of them systematically collected resource utilization data. Using a micro-costing approach, we examined costs for the design and implementation of the program occurring at CPQCC and the 4 study sites. Data collection forms were used to track personnel time, equipment/supplies, space use, and travel (including transportation, food, and lodging). Cost analysis was conducted from the healthcare sector perspective. Costs incurred by CPQCC were allocated to participant sites and then combined with site-specific costs to estimate the mean cost per site, along with its 95% confidence interval (CI). Cost estimates were inflation-adjusted to 2022 U.S. dollars.
Results
Designing and implementing the Simulating Success program cost $228,148.36 at CPQCC, with personnel cost accounting for the largest share (92.2%), followed by program-related travel (6.1%), equipment/supplies (1.5%), and space use (0.2%). Allocating these costs across participant sites and accounting for site-specific resource utilizations resulted in a mean cost of $39,210.69 per participant site (95% CI: $34,094.52-$44,326.86). In sensitivity analysis varying several study assumptions (e.g., number of participant sites, exclusion of design costs, and useful life span of manikins), the mean cost per site changed from $35,645.22 to $39,935.73. At all four sites, monthly cost of other neonatal resuscitation training was lower during the program implementation period (mean = $1,112.52 per site) than pre-implementation period (mean = $2,504.01 per site). In the 3 months after the Simulating Success program ended, monthly cost of neonatal resuscitation training was also lower than the pre-implementation period at two of the four sites.
Conclusions
Establishing a multi-site neonatal in situ simulation program requires investment of sufficient resources. However, such programs may have financial and non-financial benefits in the long run by offsetting the need for other neonatal resuscitation training and improving practice.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
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