The Relationship between Nurse to Population Ratio and Population Density: A Pilot Study in a Rural/Frontier State
DOI:
https://doi.org/10.14574/ojrnhc.v7i2.136Abstract
The purpose of this study was to evaluate the relationship between nurse to population ratio and population density. A secondary analysis was conducted, correlating nurse to population data with county-based population density data. The sample consisted of all 17 counties in the state of Nevada (3 urban, 4 rural and 10 frontier). County nurse to population ratios ranged from 178 to 861 per 100,000 population and population density ranged from 0.3 to 173.9 people per square mile (mean of 39.3). Correlational analysis indicated a significant positive relationship between nurse to population ratio and population density (r = .65 (p <.005). Mean nurse to population ratios were found to be significantly different between frontier (356/100,000), rural (682/100,000), and urban (587/100,000) counties (F = 7.53, p =.006). Not surprisingly, the results indicated that the lowest nurse to population ratios occur in areas with the lowest population density. These findings provide rural and frontier nurses with support in advocating for aggressive strategies to address the nurse to population disparity affecting rural and frontier communities.Downloads
Issue
Section
Articles
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share (for non-commerical purposes) the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).