Utilization of a New Customizable Scoring Tool to Recruit and Select Pulmonary/Critical Care Fellows.

BACKGROUND: Finding the ideal candidate for a residency/fellowship program has always been difficult. Finding the "perfect" match has always been the ultimate goal. However, many factors affect obtaining that "perfect" match. In the past, we would have each attending physician review around 20 to 50 Electronic Residency Application Service (ERAS) applications and rank them into three categories: high, middle, or low. Depending on their ranking, the applicant would be invited for an interview. After the interview, the applicants' files (ERAS and interview) would be reviewed and ranked by the faculty as a group. This was time-consuming and fraught with too much subjectivity and minimal objectivity. We, therefore, sought to find a way to assess and rank applicants in a more objective and less time-consuming manner. By creating a customizable scoring tool, we were able to screen applicants to our pulmonary/critical care fellowship program in an efficient and a more objective manner. OBJECTIVES: A customizable scoring tool was developed weighting components in the ERAS and interview process, allowing residency/fellowship programs to create a final rank list consistent with the programs' desired applicants. METHODS: Two hundred and sixty pulmonary/critical care fellowship applications were reviewed from 2013 to 2018. In 2018, we used our new scoring rubric to create a rank list and rescore previous applicants. The traditional and new lists were compared to the final rank list submitted to the National Residency Matching Program (NRMP) for 2018. We wanted to ascertain which scoring method correlated best with the final rank list submitted to the NRMP. We obtained feedback from eight faculty members who had reviewed applicants with both scoring tools. RESULTS: The novel customizable scoring tool positively correlated with the final rank list submitted to the NRMP (r= 0.86). The novel tool showed a better correlation to the final rank list than the traditional method. Faculties (6/6, 100%) responded positively to the new tool. CONCLUSIONS:  Our new customizable tool has allowed us to create a final rank list that is efficient and more focused on our faculty's desired applicants. We hope to assess and compare the quality of applicants matched through this scoring system and the traditional method by using faculty evaluations, milestones, and test scores.

Pretrauma Functional Independence Measure Score Predicts Survival in Geriatric Trauma.

The Functional Independence Measure (FIM) is used by rehabilitation professionals to access disability. The FIM score combines both motor and cognitive parameters to assess a patient's level of required assistance in performing activities of daily living (ADL). The geriatric trauma patient is becoming an increasingly important cohort for trauma services. FIM has been shown to predict discharge outcomes and those at high risk for falls. We hypothesized pretrauma FIM scores may predict survival in the geriatric trauma population. This was a retrospective study of patients 65 years and older that were admitted to our Level I trauma center from July 1, 2006 to July 1, 2012. A total 941 patients underwent stepwise regression to identify those factors predicting survival. Age, Injury Severity Score, revised trauma score, body mass index, and pretrauma FIM scores (12-point scale) were studied. The primary outcome was survival. Statistical significance reached at P value <0.05. Multiple logistic regression analysis was then performed. A total of 1315 patients were identified and complete data were available on 941 patients. Mean age was 78 (SD ± 8.2), mean Injury Severity Score was 13(SD ± 8.7), and mean body mass index was 26. Overall mortality was 11 per cent. The odds ratio of survival was 3.532 (95% confidence interval = 2.191-5.718) times greater for every 1-point increase in the preadmission FIM expression score. Glasgow Coma Scale, revised trauma score, gender, and pretrauma FIM expression scores were predictive of survival in the geriatric trauma patient. Pretrauma FIM expression can be used to predict survival in the elderly trauma victim. Further study is needed to establish the role of FIM as part of trauma scoring systems.

A challenge to meet the future: nursing education in Oregon, 2010.

Nursing leadership in Oregon has united behind a plan to address the nursing shortage, setting forth five strategic goals. Two of these are specific to nursing education--to double enrollment by 2004 and redesign nursing education to more directly meet the changing health care needs of Oregonians. This article describes the Oregon Nursing Leadership Council plan and the processes used to develop it. Controversial issues, challenges, and future directions also are discussed.

Job and career satisfaction among staff nurses: effects of job setting and environment.

Just as customer satisfaction is the key to retaining customers, satisfaction with job and career choices are important for keeping staff nurses on the job. The roles of employment setting, job commitment, tenure, years until retirement, short staffing, and patient load in predicting satisfaction were assessed for RN and LPN staff nurses. Results show that when RNs and LPNs feel short staffing interferes with their ability to meet patient care needs, they are also less satisfied with both their job and their career. In order not to exacerbate the current nursing shortage, employers must find ways to ensure adequate staffing to keep staff nurses satisfied and on the job.