title: Understanding the supply and distribution of registered nurses: where are the data and what can they tell us?
abstract: Health workforce researchers routinely conduct studies to determine whether a profession is currently in short supply and whether future shortages are likely. This is particularly important for registered nursing since the profession has experienced periodic shortages over the past three decades. Registered nurse (RN) forecast studies can be valuable in quantifying supply and demand gaps and identifying the most appropriate strategies to avert future shortages. In order to quantify RN supply/demand gaps, it is important to have accurate data on RNs, including the number of active RNs as well as their demographic, education, and practice characteristics, and work location(s). A lack of relevant and timely data on the nursing workforce is a significant barrier to identifying where nursing shortages exist, where they are most severe, and determining the factors that contribute to them. This lack of understanding impedes the development of effective health workforce programs and policies to mitigate shortages and the ability to evaluate these programs and policies for effectiveness. This study describes the national data sources available to nursing researchers to study the supply and distribution of the RN workforce and assesses the sources' strengths and limitations. This study also explores the potential for using state-level data for nursing workforce research.
authors.affiliation: Center for Health Workforce Studies, University at Albany School of Public Health, Rensselaer, NY, USA.
authors.forename: Robert
authors.initials: R
authors.lastname: Martiniano
authors.forename: Sandra
authors.initials: S
authors.lastname: Mcginnis
authors.forename: Jean
authors.initials: J
authors.lastname: Moore
mesh_terms: D003625:Data Collection / Q000379:methods*; D016208:Databases, Factual / Q000706:statistics & numerical data; D006801:Humans; D009518:New York; D009726:Nurses / Q000600:supply & distribution*; D009729:Nursing; D015401:Nursing Administration Research / Q000379:methods* / Q000706:statistics & numerical data; D014481:United States; D000078329:Workforce