Evidence map›Paper›PMID 30179886›Full record

ArticleCritical care medicine2018

Patient Outcomes After the Introduction of Statewide ICU Nurse Staffing Regulations.

Anica C Law, Jennifer P Stevens, Samuel Hohmann, Allan J Walkey

Abstract read
In one paragraph

Article in Critical care medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Familiarity Among Nurses: The Key to ICU Patient Outcomes?American journal of respiratory and critical care medicine · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. [Hospital nursing personnel staffing and patient outcome].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2020
    Review
  15. The Structure of Critical Care Nursing Teams and Patient Outcomes: A Network Analysis.American journal of respiratory and critical care medicine · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Anica C LawCenter for Healthcare Delivery Science, Beth Israel Deaconess Medical Center, Boston, MA.
Jennifer P StevensCenter for Healthcare Delivery Science, Beth Israel Deaconess Medical Center, Boston, MA.
Samuel HohmannVizient, Center for Advanced Analytics, Chicago, IL.
Allan J WalkeyEvans Center for Implementation and Improvement Sciences, Department of Medicine, Boston University School of Medicine, Boston, MA.

Funding

Automated detection and prediction of atrial fibrillation during sepsisR01HL136660 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2017 to 2020
$2.2M
A multistakeholder examination of the drivers and value of inpatient consultationK08HS024288 · AHRQ · BETH ISRAEL DEACONESS MEDICAL CENTER · PI STEVENS, JENNIFER P · 2016 to 2020
$752k
Atrial Fibrillation in Sepsis: Patient Outcomes and Provider Practice PatternsK01HL116768 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2013 to 2017
$742k
Trends, Practice Variations, and Outcomes of Gastrostomy Tubes Placed during Critical Illness in the United StatesF32AG058352 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI LAW, ANICA C · 2017 to 2020
$238k
AHRQ HHS K08 HS024288NHLBI NIH HHS K01 HL116768NHLBI NIH HHS R01 HL136660NIA NIH HHS F32 AG058352
6 · The paper itself

Abstract

objectivesTo assess whether Massachusetts legislation directed at ICU nurse staffing was associated with improvements in patient outcomes.

designRetrospective cohort study; difference-in-difference design to compare outcomes in Massachusetts with outcomes of other states (before and after the March 31, 2016, compliance deadline).

settingAdministrative claims data collected from medical centers across the United States (Vizient). PATIENTS: Adults between 18 and 99 years old who were admitted to ICUs for greater than or equal to 1 day.

interventionsMassachusetts General Law c. 111, § 231, which established 1) maximum patient-to-nurse assignments of 2:1 in the ICU and 2) that this determination should be based on a patient acuity tool and by the staff nurses in the unit. MEASUREMENTS AND MAIN

resultsNurse staffing increased similarly in Massachusetts (n = 11 ICUs, Baseline patient-to-nurse ratio 1.38 ± 0.16 to Post-mandate 1.28 ± 0.15; p = 0.006) and other states (n = 88 ICUs, Baseline 1.35 ± 0.19 to Post-mandate 1.31 ± 0.17; p = 0.002; difference-in-difference p = 0.20). Massachusetts ICU nurse staffing regulations were not associated with changes in hospital mortality within Massachusetts (Baseline n = 29,754, standardized mortality ratio 1.20 ± 0.04 to Post-mandate n = 30,058, 1.15 ± 0.04; p = 0.11) or when compared with changes in hospital mortality in other states (Baseline n = 572,952, 1.15 ± 0.01 to Post-mandate n = 567,608, 1.09 ± 0.01; difference-in-difference p = 0.69). Complications (Massachusetts: Baseline 0.68% to Post-mandate 0.67%; other states: Baseline 0.72% to Post-mandate 0.72%; difference-in-difference p = 0.92) and do-not-resuscitate orders (Massachusetts: Baseline 13.5% to Post-mandate 15.4%; other states: Baseline 12.3% to Post-mandate 14.5%; difference-in-difference p = 0.07) also remained unchanged relative to secular trends. Results were similar in interrupted time series analysis, as well as in subgroups of community hospitals and workload intensive patients receiving mechanical ventilation.

conclusionsState regulation of patient-to-nurse staffing with the aid of patient complexity scores in intensive care was not associated with either increased nurse staffing or changes in patient outcomes.

Indexed as

Nurse-Patient RelationsPatient Outcome AssessmentAdultAgedAged, 80 and overFemaleGovernment RegulationHumansIntensive Care UnitsMaleMassachusettsMiddle AgedNursing Staff, HospitalPersonnel Staffing and SchedulingRetrospective StudiesUnited States

Identifiers

PMID30179886
PMCPMC6138549

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.