| Learning Objective #1: Describe changes in the charactersitics of NY state RNs | |||
| Learning Objective #2: Describe relevance to policy of regional and state RN characteristics |
Purpose/target audience: There is national concern over the present and future workforce of registered nurses. A major initiative that would help professionals in workforce policy and education shorten their reaction time to surplus or shortage concerns is to improve the data about RNs in a given area. Objective: To examine workforce data on New York State (NYS) nurses at the statewide and regional level of analysis using the 2000 National Sample Survey of Registered Nurses (NSSRN). Population, sample, setting: The NYS RN sample was drawn from the 2000 NSSRN by selecting the cases with Geocodes for NYS. This methodology yielded a sample of 1,928 NYS RNs. Concept or variables studied together: Data were examined in relation to RNs’ demographic information, employment status/setting, transition/working conditions, satisfaction and education. Methods: Descriptive analysis using Chi square and T-Tests. Findings:. Consistent with national data, nurses were predominantly white, female, and in their mid-40s. However, differences were found in age, minority representation, income, satisfaction, and work setting for NYS RNs when comparing data at the regional and state level. There has been a clear reduction in the work participation of NYS RNs from 1996 to 2000 and it is particularly noteworthy as well as troublesome that in each age category, fewer NYS nurses in 2000 were working than in 1996. Conclusion: Examining the 2000 NSSRN data in context with information from other sources at the statewide and regional level provides valid information on nursing workforce trends. Implications: RN labor markets can vary substantially between regions in a single state, and these variations can obscure differences from national norms as well. The NSSRN data is a useful policy tool to provide information not available from other sources in most states.
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