Analysis of Ohio Nurses’ Voting Behaviors 2020–2023

This study provides baseline data for voting patterns and the political affiliation of licensed nurses (licensed practical nurses [LPNs], registered nurses [RNs], and advanced practice registered nurses [APRNs]) in Ohio for the November 2020, 2022, and 2023 general elections. Using two public databases (licensed nurses and registered voters), the findings for 73.7% of all licensed nurses registered to vote are reported, including 18,894 APRNs, 30,731 LPNs, and 137,353 RNs. Compared to the Ohio population eligible to vote, one in 32 persons of the voting-eligible population is a licensed nurse, and one in 51 registered voters in Ohio is an RN. The data show that 11% of the nurses never voted in any of the three general elections, and 47.7% voted in all three. LPNs had the lowest voting (34%) record, while about 48% of RNs and 52% of APRNs voted in all three. Like Ohio's public, nurses' party affiliation (Democrat, Republican, unaffiliated) varied, and most were unaffiliated with any party. Party affiliation was significantly associated with nurse licensure type (e.g., LPNs are less likely to be unaffiliated). Controlling for age and party affiliation, APRNs were more likely than LPNs to vote, and RNs were more likely than LPNs to vote in each election. Unaffiliated voters were less likely than Democrats to vote in all three elections. Across all elections, older voters were more likely to vote. These baseline findings on nurses' actual voting behavior provide the impetus for engaging nurses individually and collectively in voting and policies that increase voter participation of nurses and the public.

Authors

Institutions

Publication Details

Journal
Policy Politics & Nursing Practice
Published
2024-11-11
DOI
https://doi.org/10.1177/15271544241298259
Primary Topic
Nursing Education, Practice, and Leadership
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Ohio Nurses’ Voting Behaviors 2020–2023

Margarete L. Zalon, Ruth Ludwick, Kristin Baughman, Rebecca M. Patton
Policy Politics & Nursing Practice
Nursing Education, Practice, and Leadership
article

Analysis of Ohio Nurses’ Voting Behaviors 2020–2023

Margarete L. Zalon, Ruth Ludwick, Kristin Baughman, Rebecca M. Patton
article en

Abstract

This study provides baseline data for voting patterns and the political affiliation of licensed nurses (licensed practical nurses [LPNs], registered nurses [RNs], and advanced practice registered nurses [APRNs]) in Ohio for the November 2020, 2022, and 2023 general elections. Using two public databases (licensed nurses and registered voters), the findings for 73.7% of all licensed nurses registered to vote are reported, including 18,894 APRNs, 30,731 LPNs, and 137,353 RNs. Compared to the Ohio population eligible to vote, one in 32 persons of the voting-eligible population is a licensed nurse, and one in 51 registered voters in Ohio is an RN. The data show that 11% of the nurses never voted in any of the three general elections, and 47.7% voted in all three. LPNs had the lowest voting (34%) record, while about 48% of RNs and 52% of APRNs voted in all three. Like Ohio's public, nurses' party affiliation (Democrat, Republican, unaffiliated) varied, and most were unaffiliated with any party. Party affiliation was significantly associated with nurse licensure type (e.g., LPNs are less likely to be unaffiliated). Controlling for age and party affiliation, APRNs were more likely than LPNs to vote, and RNs were more likely than LPNs to vote in each election. Unaffiliated voters were less likely than Democrats to vote in all three elections. Across all elections, older voters were more likely to vote. These baseline findings on nurses' actual voting behavior provide the impetus for engaging nurses individually and collectively in voting and policies that increase voter participation of nurses and the public.

Policy Politics & Nursing PracticeVol. 26(2)
University of Scranton (US), Kent State University (US), Case Western Reserve University (US), Northeast Ohio Medical University (US)
Openalex Percentile: Top 64%
Nursing Education, Practice, and Leadership
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.