scholarly journals Issues of Survivorship Are Rarely Addressed during Intensive Care Unit Stays. Baseline Results from a Statewide Quality Improvement Collaborative

2014 ◽  
Vol 11 (4) ◽  
pp. 587-591 ◽  
Author(s):  
Sushant Govindan ◽  
Theodore J. Iwashyna ◽  
Sam R. Watson ◽  
Robert C. Hyzy ◽  
Melissa A. Miller
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Quality Improvement ◽  
Quality Improvement Collaborative

Achieving and Sustaining Ventilator-Associated Pneumonia–Free Time among Intensive Care Units (ICUs): Evidence from the Keystone ICU Quality Improvement Collaborative

2013 ◽  
Vol 34 (7) ◽  
pp. 740-743 ◽  
Author(s):  
Dany S. Matar ◽  
Julius C. Pham ◽  
Thomas A. Louis ◽  
Sean M. Berenholtz
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Quality Improvement ◽  
Retrospective Analysis ◽  
Intensive Care Units ◽  
Free Time ◽  
Ventilator Associated Pneumonia ◽  
Quality Improvement Collaborative ◽  
Zero Rate

Our retrospective analysis of the Michigan Keystone intensive care unit (ICU) collaborative demonstrated that adult ICUs could achieve and sustain a zero rate of ventilator-associated pneumonia (VAP) for a considerable number of ventilator and calendar months. Moreover, the results highlight the importance of adjustment for ventilator-days before comparing VAP-free time among ICUs.

Using Economic Information in a Quality Improvement Collaborative

PEDIATRICS ◽  
2003 ◽  
Vol 111 (Supplement_E1) ◽  
pp. e411-e418
Author(s):  
Jeannette Rogowski
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Quality Improvement ◽  
Neonatal Intensive Care Unit ◽  
Neonatal Intensive Care ◽  
Care Quality ◽  
Treatment Costs ◽  
Quality Improvement Collaborative ◽  
Intensive Care Unit Treatment ◽  
Economic Information

This article provides an overview of neonatal intensive care unit treatment costs for hospitals that participated in the Neonatal Intensive Care Quality Improvement Collaborative Year 2000 (NIC/Q 2000) quality improvement collaborative and discusses how economic information can be used in quality improvement efforts. Detailed information on neonatal intensive care unit treatment costs is presented for 29 hospitals that participated in the NIC/Q 2000 collaborative. The sample consists of 6797 very low birth weight infants (1500 g or less at birth) with admission dates between January 1, 1997, and December 31, 1998. Information on median treatment cost per infant, ancillary costs, accommodation costs, length of stay, and cost per day is presented. In addition, ancillary costs are further disaggregated into those for respiratory therapy, laboratory, radiology, pharmacy, and all other ancillary services. The role of level of care and other factors that influence treatment costs are then explored.

Implementing Volume-Based Feeding to Optimize Delivery of Enteral Nutrition

2021 ◽  
Vol 41 (2) ◽  
pp. 16-26
Author(s):  
Angela Bonomo ◽  
Diane Lynn Blume ◽  
Katie Davis ◽  
Hee Jun Kim
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Quality Improvement ◽  
Enteral Nutrition ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care ◽  
Educational Approach ◽  
Lecture Demonstration

Background At least 80% of ordered enteral nutrition should be delivered to improve outcomes in critical care patients. However, these patients typically receive 60% to 70% of ordered enteral nutrition volume. In a practice review within a 28-bed medical-surgical adult intensive care unit, patients received a median of 67.5% of ordered enteral nutrition with standard rate-based feeding. Volume-based feeding is recommended to deliver adequate enteral nutrition to critically ill patients. Objective To use a quality improvement project to increase the volume of enteral nutrition delivered in the medical-surgical intensive care unit. Methods Percentages of target volume achieved were monitored in 73 patients. Comparisons between the rate-based and volume-based feeding groups used nonparametric quality of medians test or the χ2 test. A customized volume-based feeding protocol and order set were created according to published protocols and then implemented. Standardized education included lecture, demonstration, written material, and active personal involvement, followed by a scenario-based test to apply learning. Results Immediately after implementation of this practice change, delivered enteral nutrition volume increased, resulting in a median delivery of 99.8% of ordered volume (P = .003). Delivery of a mean of 98% ordered volume was sustained over the 15 months following implementation. Conclusions Implementation of volume-based feeding optimized enteral nutrition delivery to critically ill patients in this medical-surgical intensive care unit. This success can be attributed to a comprehensive, individualized, and proactive process design and educational approach. The process can be adapted to quality improvement initiatives with other patient populations and units.

Integrating Palliative Care Into a Neurosurgical Intensive Care Unit (NS-ICU): A Quality Improvement (QI) Project

2021 ◽  
pp. 104990912110456
Author(s):  
Choo Hwee Poi ◽  
Mervyn Yong Hwang Koh ◽  
Tessa Li-Yen Koh ◽  
Yu-Lin Wong ◽  
Wendy Yu Mei Ong ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Palliative Care ◽  
Intensive Care ◽  
Quality Improvement ◽  
Care Team ◽  
Referral Rates ◽  
Care Plans ◽  
Neurosurgical Patients ◽  
Neurosurgical Intensive Care ◽  
Neurosurgical Intensive Care Unit

Objectives: We conducted a pilot quality improvement (QI) project with the aim of improving accessibility of palliative care to critically ill neurosurgical patients. Methods: The QI project was conducted in the neurosurgical intensive care unit (NS-ICU). Prior to the QI project, referral rates to palliative care were low. The ICU-Palliative Care collaborative comprising of the palliative and intensive care team led the QI project from 2013 to 2015. The interventions included engaging key stake-holders, establishing formal screening and referral criteria, standardizing workflows and having combined meetings with interdisciplinary teams in ICU to discuss patients’ care plans. The Palliative care team would review patients for symptom optimization, attend joint family conferences with the ICU team and support patients and families post-ICU care. We also collected data in the post-QI period from 2016 to 2018 to review the sustainability of the interventions. Results: Interventions from our QI project and the ICU-Palliative Care collaborative resulted in a significant increase in the number of referrals from 9 in 2012 to 44 in 2014 and 47 the year later. The collaboration was beneficial in facilitating transfers out of ICU with more deaths outside ICU on comfort-directed care (96%) than patients not referred (75.7%, p < 0.05). Significantly more patients had a Do-Not-Resuscitation (DNR) order upon transfer out of ICU (89.7%) compared to patients not referred (74.2.%, p < 0.001), and had fewer investigations in the last 48 hours of life (p < 0.001). Per-day ICU cost was decreased for referred patients (p < 0.05). Conclusions: Multi-faceted QI interventions increased referral rates to palliative care. Referred patients had fewer investigations at the end-of-life and per-day ICU costs.

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