Work patterns, socio-demographic characteristics and job satisfaction of the CRNA workforce - Findings from the 2019 AANA survey of CRNAs.

Background: An ongoing shortage of anesthesia providers lends importance to the study of job satisfaction and retention among this critical workforce. Certified registered nurse anesthetists (CRNA) make up an increasing share of this workforce and the impact of factors affecting their satisfaction is not fully understood.

Purpose: Understanding the job satisfaction of Certified Registered Nurse Anesthetists (CRNA) and its determinants.

Quality, Costs, and Policy: Factors Influencing Choice of Anesthesia Staffing Models.

Certified registered nurse anesthetists (CRNAs) can practice independently or with varying degrees of supervision by physicians or anesthesiologists. Before 2001, the Centers for Medicare & Medicaid Services (CMS) conditions of participation required CRNAs to be supervised by a physician. Starting in November 2001, CMS implemented an opt-out policy to give states greater autonomy in determining how anesthesia services are delivered.

Advocacy, Research, and Anesthesia Practice Models: Key Studies of Safety and Cost-Effectiveness.

The practice of anesthesia includes multiple competing practice models, including services delivered by anesthesiologists, independent practice by certified registered nurse anesthetists (CRNAs), and team-based approaches incorporating anesthesiologist supervision or direction of CRNAs. Despite data demonstrating very low risk of death and complications associated with anesthesia, debate among professional societies and policymakers persists over the superiority or equivalence among these models. The American Society of Anesthesiologists uses published findings as evidence for claims that anesthesia is safer when anesthesiologists lead in providing care.

Developing a Health Services Research Agenda in Nurse Anesthesia Using a Modified Delphi Method.

The authors sought to formalize a process and ascertain research priorities for nurse anesthesia, which resulted in a new Health Services Research (HSR) Agenda. After formation of an 8-member ad hoc committee (representing different stakeholders from the American Association of Nurse Anesthetists [AANA]), a modified Delphi technique was used to determine the top 3 HSR research priorities for the 2016 fiscal year. The committee identified 24 high-priority HSR questions/topics specific to policy, education, or practice.

The AANA Foundation Malpractice Closed Claims Study: A Descriptive Analysis.

The AANA Foundation Closed Claims Researchers evaluated 245 closed claims spanning from 2003-2012. The majority of claims comprised CRNA providers whom are mainly male, independent contractors, certified between 1980-1999, and with malpractice coverage limits of $1 million/$3 million. The median age for all claimants was 50 years old, and 63.

Geographical Imbalance of Anesthesia Providers and its Impact On the Uninsured and Vulnerable Populations.

The purpose of this study was to determine if there is a relationship between socioeconomic factors related to geography and insurance type and the distribution of anesthesia provider type. Using the 2012 Area Resource File, the correlation analyses illustrates county median income is a key factor in distinguishing anesthesia provider distribution. Certified registered nurse anesthetists (CRNAs) correlated with lower-income populations where anesthesiologists correlated with higher-income populations.

Ouality and performance measurement: national efforts to improve quality of care through measurement development.

The US Department of Health and Human Services created the National Quality Strategy to provide a framework to focus providers and organizations in achieving greater impact around better care, healthy people and communites, and affordable care. Providing incentive programs around quality measurement is one mechanism used to achieve these aims. Certified Registered Nurse Anesthetists (CRNAs) should begin to familiarize themselves with the consensus development process used in measurement development and the importance of measurement endorsement through the National Quality Forum.

Human rhinovirus infection causes different DNA methylation changes in nasal epithelial cells from healthy and asthmatic subjects.

Background: Mechanisms underlying the development of virus-induced asthma exacerbations remain unclear. To investigate if epigenetic mechanisms could be involved in virus-induced asthma exacerbations, we undertook DNA methylation profiling in asthmatic and healthy nasal epithelial cells (NECs) during Human Rhinovirus (HRV) infection in vitro.

Methods: Global and loci-specific methylation profiles were determined via Alu element and Infinium Human Methylation 450 K microarray, respectively.

The National Practitioner Data Bank: what CRNAs need to know.

As a nationwide flagging system, the National Practitioner Data Bank (NPDB) allows state licensing boards, hospitals, and other registered healthcare entities the ability to monitor practitioners through reporting and inquiry about the qualifications and competency of healthcare practitioners seeking clinical privileges where incompetence or unprofessional conduct could adversely affect a patient's welfare. Certified Registered Nurse Anesthetists are not exempt from being reported on or queried by registered reporting and querying entities. The NPDB warehouses data pertaining to adverse actions or medical malpractice payments taken against a practitioner.

A closer look at the standards for nurse anesthesia practice.

As part of its ongoing work, the AANA's Practice Committee reviewed the Scope and Standards for Nurse Anesthesia Practice, particularly focusing on the Standards for Nurse Anesthesia Practice. Revisions and updates were made to the standards to ensure clarity and reflect current anesthesia practice. This article highlights several of the important revisions made to the Standards for Nurse Anesthesia Practice, specifically focusing on the importance of documentation, updates to Standard V-Patient Monitoring, and changes to other documents affected by the updates.

A highly specific algorithm for identifying asthma cases and controls for genome-wide association studies.

Our aim was to identify asthmatic patients as cases, and healthy patients as controls, for genome-wide association studies (GWAS), using readily available data from electronic medical records. For GWAS, high specificity is required to accurately identify genotype-phenotype correlations. We developed two algorithms using a combination of diagnoses, medications, and smoking history.