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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results1 to 5 of 5 Research Studies Displayed
Kempker JA, Stearns E, Peterson EN
U.S. adult critical care beds per capita: a 2021 county-level cross-sectional study.
This study used November 2021 hospital data from the Department of Health and Human Services' Protect Public Data Hub to describe the per capita distribution of staffed adult critical care beds across the US. There was a high percentage of hospitals reporting (98.6%). A total of 4,846 adult hospitals accounted for 79,876 adult critical care beds in the US and its’ territories. The authors crudely aggregated the data at the national-level to 0.31 adult critical care beds per 1,000 adults. The median crude per capita density of adult critical care beds per 1,000 adults across U.S. counties was 0.00 per 1,000 adults. Spatially smoothed county-level estimates were obtained using Empirical Bayes and Spatial Empirical Bayes approaches, resulting in an estimated 0.18 adult critical care beds per 1,000 adults. Counties in the upper quartile had higher average adult population counts (mean 159,000 vs 32,000 adults per county) compared to counties in the lower quartile of adult critical care bed density.
Citation: Kempker JA, Stearns E, Peterson EN . U.S. adult critical care beds per capita: a 2021 county-level cross-sectional study. Crit Care Explor 2023 Mar;5(3):e0868. doi: 10.1097/cce.0000000000000868.
Keywords: Critical Care, Public Health
Michelson KA, Rees CA, Sarathy J
Interregional transfers for pandemic surges.
Hospital inpatient and intensive care unit (ICU) bed shortfalls may arise due to regional surges in volume. In this study, the investigators sought to determine how interregional transfers could alleviate bed shortfalls during a pandemic, using estimates of past and projected inpatient and ICU cases of coronavirus disease 2019 (COVID-19) from 4 February 2020 to 1 October 2020.
Citation: Michelson KA, Rees CA, Sarathy J . Interregional transfers for pandemic surges. Clin Infect Dis 2021 Dec 6;73(11):e4103-e10. doi: 10.1093/cid/ciaa1549..
Keywords: COVID-19, Hospitals, Public Health, Intensive Care Unit (ICU), Critical Care
Vranas KC, Golden SE, Mathews KS
The influence of the COVID-19 pandemic on ICU organization, care processes, and frontline clinician experiences: a qualitative study.
The COVID-19 pandemic resulted in unprecedented adjustments to intensive care unit (ICU) organization and care processes globally. The investigators examined if hospital emergency responses to the COVID-19 pandemic differed depending on hospital setting and explored which strategies worked well to mitigate strain as perceived by intensivists. The investigators concluded that their study demonstrated the importance of trust and transparency between frontline staff and hospital leadership as key components of effective emergency responses during public health crises.
Citation: Vranas KC, Golden SE, Mathews KS . The influence of the COVID-19 pandemic on ICU organization, care processes, and frontline clinician experiences: a qualitative study. Chest 2021 Nov;160(5):1714-28. doi: 10.1016/j.chest.2021.05.041..
Keywords: COVID-19, Intensive Care Unit (ICU), Critical Care, Healthcare Delivery, Workforce, Public Health
Applebury DE, Robinson EJ, Gold JA
Pilot testing of simulation in the evaluation of a novel, rapidly deployable electronic health record for use in disaster intensive care.
This purpose of this study was to present the application of simulation to assess a quickly scalable hub-and-spoke model for Electronic Health Record (EHR) system deployment and monitoring, utilizing asynchronous training. The researchers modified existing commercial EHR products to function as the entry point from a simulated hospital and a separate system for tele-ICU support and data monitoring. A modular video-based curriculum was developed for asynchronous training of users. The curriculum's effectiveness was evaluated through the completion of standard ICU documentation tasks in a high-fidelity simulation. Additional endpoints included EHR navigation assessment, user satisfaction (Net Promoter), system usability (System Usability Scale-SUS), and cognitive load (NASA-TLX). The study found that 5 participants achieved a 100% task completion rate in all domains, except for ventilator data (91%). The systems demonstrated high satisfaction, satisfactory usability, and acceptable cognitive load, with higher cognitive loads correlating to the number of screens used.
Citation: Applebury DE, Robinson EJ, Gold JA . Pilot testing of simulation in the evaluation of a novel, rapidly deployable electronic health record for use in disaster intensive care. Disaster Med Public Health Prep 2021 Oct 22; 17:e51. doi: 10.1017/dmp.2021.302..
Keywords: COVID-19, Emergency Preparedness, Electronic Health Records (EHRs), Health Information Technology (HIT), Public Health, Intensive Care Unit (ICU), Critical Care
Balikai SC, Badheka A, Casey A
Simulation to train pediatric ICU teams in endotracheal intubation of patients with COVID-19.
This paper describes the outcomes of pediatric intensive care unit (PICU) simulation training to safely perform endotracheal intubations in children with suspected or confirmed COVID-19. Confidence levels before and after training was measured using the Simulation Effectiveness Tool-Modified (SET-M, Likert scale 0-2). Fifty unique PICU staff members participated in 9 simulation sessions and mean confidences scores increased from 0.9 to 2.
Citation: Balikai SC, Badheka A, Casey A . Simulation to train pediatric ICU teams in endotracheal intubation of patients with COVID-19. Pediatr Qual Saf 2021 Jan-Feb;6(1):e373. doi: 10.1097/pq9.0000000000000373..
Keywords: Children/Adolescents, COVID-19, Intensive Care Unit (ICU), Critical Care, Simulation, Training, Public Health, Infectious Diseases