A Pre-Pandemic Evaluation of the State of Staffing and Future of the Respiratory Care Profession: Perceptions of Louisiana Respiratory Therapists.

BACKGROUND: Workforce development for the respiratory therapy (RT) profession is a growing concern. Upcoming staffing difficulties are expected due to retirement, attrition from the profession, and decreased enrollment in accredited RT programs nationwide. This study assessed respiratory therapists' perceptions of staffing needs and future trajectory of the RT profession. METHODS: This cross-sectional study utilized a modified 39-question survey tool delivered via e-mail to 618 Louisiana members of the American Association for Respiratory Care (AARC) between November 2019-February 2020. RESULTS: The response rate was 19% (118/618). Although 50% of respondents perceived understaffing, 77.6% indicated the importance to remain in the RT profession. A majority (93.1%) agreed on the importance of maintaining an active membership in the AARC. Respondents working in a hospital setting perceived understaffed work environments more often than other groups. Salary was most important to the employee (33.6%, 39/116), followed equally by room for growth (14.7%, 17/116) and scope of practice (14.7%, 17/116). For the future of the profession, the ability to assess patients and develop care plans and the ability to receive reimbursement for services were indicated as most important factors. Most (69.8%) agreed that the entry-level minimum should be increased to the bachelor's degree, and 21.6% agreed the master's degree in RT should be supported to increase scope of practice. CONCLUSIONS: This study indicated a consistent perception of understaffed work environments in respiratory care, and respondents expressed a perceived importance of remaining in the RT profession. This study also indicated support for raising the entry-level standard in RT and a desire for higher education to achieve professional growth and advancement.

Statistics for the nonstatistician: Part I.

Clinical research typically gathers sample data to make an inference about a population. Sample data carries the risk of introducing variation into the data, which can be estimated by the standard error of the mean. Data are described using descriptive statistics such as mean, median, mode, and standard deviation. The strength of the relation between two groups of data can be described using correlation. Hypothesis testing allows the researcher to accept or reject a null hypothesis by calculating the probability that differences between groups are the result of chance. By convention, if the probability is less than .05, the difference between the groups is said to be statistically significant. This probability is determined by statistical tests. Of these groups of tests, the Student t test and the analysis of variance are the more common parametric tests, and the chi-square test is common for nonparametric tests. This article provides a basic overview of biostatistics to assist the nonstatistician with interpreting statistical analyses in research articles.

New roles for respiratory therapists: expanding the scope of practice.

With diverse training and experience, respiratory therapists enjoy a wide variety of employment opportunities. The profession is moving beyond the traditional acute-care facility, such as a hospital, into extended care, sleep medicine, disease management, patient transport, and even fields beyond health care delivery, such as education and research. Respiratory therapists will survive in these changing times if they possess the ability to recognize change as an opportunity for growth. As the baby boomer generation ages, and the incidence of chronic illness increases, respiratory therapists will be in even greater demand.