Evidence map›Paper›PMID 32015931›Full record

ArticleJournal of nursing regulation2019

Public Reporting of Nurse Staffing in the United States.

Pamela B de Cordova, Monika Pogorzelska-Maziarz, Myra Emma Eckenhoff, Matthew D McHugh

Abstract read
In one paragraph

Article in Journal of nursing regulation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 16% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Use of Noninvasive vs Invasive Ventilation for Patients Hospitalized With Acute Exacerbation of COPD, 2010 to 2019.American journal of critical care : an official publication, American Association of Critical-Care Nurses · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Pamela B de CordovaNew Jersey Collaborating Center for Nursing, Rutgers, The State University of New Jersey, Newark.
Monika Pogorzelska-MaziarzJefferson College of Nursing, Philadelphia, Pennsylvania.
Myra Emma EckenhoffHeart & Vascular ICU, Hospital of the University of Pennsylvania, Philadelphia.
Matthew D McHughCenter for Health Outcomes & Policy Research, University of Pennsylvania School of Nursing.
University of Pennsylvania · US

Funding

ADVANCED TRAINING IN NURSING OUTCOMES RESEARCHT32NR007104 · NINR · UNIVERSITY OF PENNSYLVANIA · PI JACQUELINE MARGO BROOKS CARTHON, EILEEN T LAKE · 1999 to 2026
$11.6M
Staffing SAFER - State Analysis for Effective ReportingK08HS024339 · AHRQ · RUTGERS THE STATE UNIV OF NJ NEWARK · PI DE CORDOVA, PAMELA BLYTHE · 2016 to 2018
$482k
AHRQ HHS K08 HS024339NINR NIH HHS T32 NR007104
6 · The paper itself

Abstract

Extensive evidence supports the association between increased nurse staffing and improved quality of patient care. Public reporting or public disclosure of nurse staffing patterns aims to incentivize hospitals to improve staffing by making comparison data available for consumers as well as nurses and hospital administrators. Currently, eight states in the United States publicly report and disclose information on nurse staffing levels to the public. We review the available public reporting mechanisms by systematically categorizing and comparing states that report nurse staffing. We also discuss the implications for future state and federal policy with regard to publicly reporting or disclosing nurse staffing.

Indexed as

Healthcare qualityhospitalsnurse staffingpatient carepublic disclosurestaffing laws

Identifiers

PMID32015931
PMCPMC6996505
OpenAlexW2979331221

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.