ArticleThe Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association2025
What drives advanced practice nurses to stay in rural America? Insights from the 2022 National Survey of Registered Nurses.
Article in The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Latent profile analysis of nurse burnout categories and influencing factor differences among nurses in Southwest China.Frontiers in public health · 2026Article
- What drives advanced practice nurses to stay in rural America? Insights from the 2022 National Survey of Registered Nurses.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025Article
- The Meaning of Community Characteristics in the Recruitment and Retention of Rural Health Care Professionals.Kansas journal of medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
purposeRecruiting and retaining a robust rural health care workforce is critical to advancing health outcomes in rural communities. Although increasing the rural provider workforce has been a policy focus for decades, rural access continues to worsen. Using a strengths-based approach, we identify factors that influence the decisions of advanced practice registered nurses (APRNs) to leave or stay in their jobs.
methodsSecondary analysis of data from the 2022 National Sample Survey of Registered Nurses. We describe rates of turnover, retention, intention to leave, and reasons for leaving and staying by job rurality. We compare reasons by rurality using Pearson chi-squared tests with the Rao-Scott correction, applying survey weights to all analyses.
findingsOur sample included 18,804 APRNs, of which one-fifth (19.1%, n = 3,589) worked in rural areas. The rural APRN workforce was, on average, older, less racially diverse, more experienced, and had a lower household income compared to the nonrural APRN workforce. Those who remained in rural jobs were more likely to report length of commute (P = .02), cost of living (P = .02), commitment to underserved communities (P = .001), and proximity to family (P<.001), compared to those who remained in urban jobs. Those who left nonrural jobs cited greater burnout (P = .02), stressful work environment (P = .05), career advancement (P = .01), and being laid off/downsized (P = .01) as reasons for leaving, compared to those who left rural jobs.
conclusionsWe identified unique factors, including proximity to family, commitment to underserved populations, and less burnout, that contribute to APRN retention in rural areas. Leveraging these motivators can inform more effective, tailored strategies to support the rural health care workforce.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.