The Shillam-Clipper Leadership Minimum Demographic Data Set: A Tool for Advancing Healthcare Research.

OBJECTIVE: The purpose of this research study was to develop an innovative, standardized taxonomy for leader demographic data to gather consistent and comparable data across healthcare leadership studies. BACKGROUND: Minimum data sets help ensure consistent data collection strategies for standardized comparison among similar variables across settings. A standardized approach to collecting demographic data of healthcare workforce leadership will provide the structure necessary for researchers to more adequately compare the role of demographic characteristics in research outcomes. METHODS: This study was conducted using systematic literature review methodology with comparative analysis across demographic data sets. Two separate literature reviews were conducted: the 1st for studies of approaches to establishing minimum data sets and another for studies of healthcare leadership. RESULTS: The outcome of this study is the Shillam-Clipper Leadership Minimum Demographic Data Set tool that includes a comprehensive list of minimum demographic variables applicable to healthcare leadership research, a glossary of operational definitions for the identified demographic variables, and a clearly articulated set of instructions for consistent and accurate data collection. CONCLUSION: This standardized taxonomy will result in a consistent data set that will improve the effectiveness of comparative research.

Going Boldly Into Digitally Enabled Care Models.

The health care ecosystem is experiencing a turbulent time, specifically the accelerated churn and attrition among the nursing workforce resulting from the COVID-19 pandemic. The loss of many long-tenured nurses means that short-staffed units, high utilization of temporary staff, and decreasing experience levels require additional support for nurses to continue to provide safe and quality patient care. The adoption of technology into care delivery models is 1 way to amplify the work of nursing in a safe and consistent manner and should be accelerated for care delivery. The workforce alone cannot meet the demands of patient care in today's environment.

The Influence of the COVID-19 Pandemic on Technology: Adoption in Health Care.

SARS-CoV-2 (coronavirus disease 2019 [COVID-19]) has affected nearly every aspect of our lives. It has certainly changed how we deliver health care. In part, it has accelerated the development and use of technology solutions in health care. These technology tools were originally identified as mechanisms that would make future care easier or better; however, these tech solutions amidst COVID-19 are now viewed as essential. The use of technology discussed in this article has been accelerated during the current crisis because technology can provide distance, safety for health care professionals and patients, faster results reporting, virtual visits, and more. As we move forward, technology will continue to be positioned to best address public health needs and improve care efficiencies, as well as develop treatments and vaccines. Specifically, this article explores the adoption and growth of technology tools including: telehealth, artificial intelligence, and robotics over the first 90 days of the COVID-19 pandemic in the United States.

From Transition Shock to Competent Practice: Developing Preceptors to Support New Nurse Transition.

BACKGROUND: It is well known that new graduate nurses (NGRNs) are likely to have a difficult transition from nursing school into professional practice and often experience a phenomenon known as transition shock. Evidence suggests using preceptors as an effective method supporting the NGRNs through this difficult transition. METHOD: This project evaluated the effectiveness of a structured preceptor development program by measuring perceptions of transition to practice and first-year retention of two groups of former graduate nurses-the first comprising preceptors trained through a preceptor development program, and the second comprising preceptors who did not participate in structured training. RESULTS: Graduate nurses who had well-trained preceptors had higher, more positive perceptions about their ability to render safe and optimal care, as well as higher first-year retention. CONCLUSION: A structured preceptor-training program may contribute to an improved transition to practice and improved first-year retention rates of NGRNs.