ArticlePolicy, politics & nursing practice2019
Effects of Public Reporting Legislation of Nurse Staffing: A Trend Analysis.
Article in Policy, politics & nursing practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Impact of Nurse Staffing Policy on Nurse Outcomes in Intensive Care Units: A National Longitudinal Study in the United States.Nursing in critical care · 2026Article
- Opportunities in stroke care at safety net hospitals: A socioecological perspective.Equity neuroscience · 2025Article
- Improving hospital nurse staffing during the pandemic: Implementation of the 2019 Fund for Health Care Staff in Belgium.Health policy (Amsterdam, Netherlands) · 2023Article
- Job and family demands and burnout among healthcare workers: The moderating role of workplace flexibility.SSM - population health · 2021Article
- Improved work environments and staffing lead to less missed nursing care: A panel study.Journal of nursing management · 2020Article
- Public Reporting of Nurse Staffing in the United States.Journal of nursing regulation · 2019Article
- A repeated cross-sectional study of nurses immediately before and during the COVID-19 pandemic: Implications for action.Nursing outlookArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Public reporting is a tactic that hospitals and other health care facilities use to provide data such as outcomes to clinicians, patients, and payers. Although inadequate registered nurse (RN) staffing has been linked to poor patient outcomes, only eight states in the United States publicly report staffing ratios-five mandated by legislation and the other three electively. We examine nurse staffing trends after the New Jersey (NJ) legislature and governor enacted P.L.1971, c.136 (C.26:2 H-13) on January 24, 2005, mandating that all health care facilities compile, post, and report staffing information. We conduct a secondary analysis of reported data from the State of NJ Department of Health on 73 hospitals in 2008 to 2009 and 72 hospitals in 2010 to 2015. The first aim was to determine if NJ hospitals complied with legislation, and the second was to identify staffing trends postlegislation. On the reports, staffing was operationalized as the number of patients per RN per quarters. We obtained 30 quarterly reports for 2008 through 2015 and cross-checked these reports for data accuracy on the NJ Department of Health website. From these data, we created a longitudinal data set of 13 inpatient units for each hospital (14,158 observations) and merged these data with American Hospital Association Annual Survey data. The number of patients per RN decreased for 10 specialties, and the American Hospital Association data demonstrate a similar trend. Although the number of patients does not account for patient acuity, the decrease in the patients per RN over 7 years indicated the importance of public reporting in improving patient safety.
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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.