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Optimizing Intensive Care Unit Staffing in the United States

优化美国重症监护病房的人员配置

基本信息

批准号：
10611850
负责人：
Hayley Beth Gershengorn
金额：
$ 33.42万
依托单位：
UNIVERSITY OF MIAMI SCHOOL OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-04-15 至 2026-03-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10611850
关键词：
Acute Acute Respiratory Distress Syndrome Acute respiratory failure Address Administrator Admission activity Adult Affect Age Distribution American Beds California Caring Case Mixes Censuses Certification Clinical Pharmacists Complex Country Coupled Critical Care Critical Illness Data Dedications Destinations Discipline of Nursing Ensure Environment Future Goals Healthcare Hospital Mortality Hospitals Intensive Care Intensive Care Units Knowledge Laws Length of Stay Life Light Link Lung diseases Masks Massachusetts Mechanical ventilation Medicine Methodology Modeling Nurses Online Systems Organization administrative structures Outcome Oxygen Patient Care Patient Care Team Patient-Focused Outcomes Patients Pattern Pharmacists Physicians Policies Policy Maker Population Growth Professional Organizations Provider Public Health Pulmonology Quality of Care Recommendation Resources Respondent Sampling Services Severities Severity of illness Societies Structure Surveys System Training United Kingdom United States Update Work Workload aging population asthma exacerbation care coordination care delivery care providers clinical database cohort dynamic system evidence base functional status health care quality improved improved outcome individual patient insight member mortality multidisciplinary novel patient safety physical therapist pressure respiratory response ventilation workforce needs

项目摘要

ABSTRACT Healthcare quality is impacted by structure and organization. Approximately 6 million Americans are admitted to an intensive care unit (ICU) yearly and many require mechanical ventilation for acute respiratory failure. Understanding optimal ICU organization is essential to ensure high quality care is delivered to these, our sickest patients. Over the past 20 years as the number of US ICU beds and the complexity of care provided has increased dramatically, intensivists (physicians trained specifically in critical care) working with interprofessional ICU teams (including nurses, respiratory therapists, clinical pharmacists, etc.) have become the norm in many ICUs. Studies highlight the positive impact of having an intensivist care for critically ill patients; for this reason, the Society of Critical Care Medicine recommends “high intensity intensivist staffing”. Similarly, the positive impact of a multidisciplinary team on patient outcomes is well established. What is not known, however, is how ICU care providers impact patient care in the context of team structure and workload. Our recent work in the United Kingdom suggests there is a significant relationship between the number of patients each intensivist cares for and their patients’ mortality; whether this relationship is the same in the US and how it is affected by other ICU care providers is unknown. Finally, since a landmark study in 2000 highlighted the gap between intensivist demand and supply in the US, it has become clear that updated ICU workforce projections are needed to aid in resource planning; however, these will fail if they are limited by “siloing” (e.g., projecting intensivist need without considering the mitigating effect of other care providers) and an underappreciation of how optimal staffing structures may differ from what is in use today. In this study we will use primary surveys linked with existing patient- level data across multiple US ICUs and a novel methodology of System Dynamics Modeling to address 3 aims: (1) determine detailed staffing models currently used across the US; (2) quantify the association of patient-to-care provider ratio with patient outcomes across selected ICUs; and (3) estimate current and future ICU workforce need. This project will yield critical insights into the best staffing models for ICU care delivery and how resources must be allocated in the future to close ICU care provider gaps. While focused on ICU care, this project will create a replicable framework for (1) quantifying provider workload by daily patient census in light of other staffing availability and (2) using System Dynamics Modeling to simulate workforce supply and demand which will be useful to plan for any aspect of healthcare. We will provide clinicians and policy makers with key information on ICU staffing to improve patient safety.

摘要