ABSTRACT
Nurse practitioners (NPs) are an important part of the health care workforce. However, little information is available on NP earnings, job satisfaction, or turnover. National survey data from 2018 offer a pre-COVID-19 baseline for ongoing NP workforce monitoring. We found evidence that NPs earned approximately $92 500 annually, ranging from $82 800 in long-term care to $95 600 in hospital settings. Wages increased with tenure in the workforce and varied considerably by geography. Approximately 1 in 5 NPs switched jobs annually, with some net in-flow to ambulatory settings. Both NPs who left their position or considered leaving reported better pay and benefits, burnout, management role, stressful work environment, career advancement, and inadequate staffing as the primary explanations. These findings were augmented by analysis of 2012-2022 Bureau of Labor Statistics data that illustrated substantial growth in the NP workforce. Improving NP job satisfaction has the direct benefit of supporting a critical and growing segment of the health workforce; it has the additional benefit of reducing job turnover and the associated costs, potentially increasing earnings for NPs. Policies that improve working conditions for NPs in different employment settings will not just increase immediate job satisfaction but also ideally strengthen the longer-term labor market to improve patient outcomes.
ABSTRACT
PURPOSE: A disconnect often exists between those with the expertise to manage and analyze complex, multi-source data sets, and the clinical, social services, advocacy, and public health professionals who can pose the most relevant questions and best apply the answers. We describe development and implementation of a cancer informatics infrastructure aimed at broadening the usability of community cancer data to inform cancer control research and practice; and we share lessons learned. METHODS: We built a multi-level database known as The Ohio Cancer Assessment and Surveillance Engine (OH-CASE) to link data from Ohio's cancer registry with community data from the U.S. Census and other sources. Space-and place-based characteristics were assigned to individuals according to residential address. Stakeholder input informed development of an interface for generating queries based on geographic, demographic, and disease inputs and for outputting results aggregated at the state, county, municipality, or zip code levels. RESULTS: OH-CASE contains data on 791,786 cancer cases diagnosed from 1/1/2006 to 12/31/2018 across 88 Ohio counties containing 1215 municipalities and 1197 zip codes. Stakeholder feedback from cancer center community outreach teams, advocacy organizations, public health, and researchers suggests a broad range of uses of such multi-level data resources accessible via a user interface. CONCLUSION: OH-CASE represents a prototype of a transportable model for curating and synthesizing data to understand cancer burden across communities. Beyond supporting collaborative research, this infrastructure can serve the clinical, social services, public health, and advocacy communities by enabling targeting of outreach, funding, and interventions to narrow cancer disparities.
