Evidence map›Paper›PMID 37352394›Full record

Observational studyJournal of the American Medical Informatics Association : JAMIA2023

Toward ensuring care quality and safety across settings: examining time pressure in a nursing home with observational time motion study metrics based on the Omaha system.

Yu Jin Kang, Christine A Mueller, Joseph E Gaugler, Michelle A Mathiason Moore, Karen A Monsen

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of the American Medical Informatics Association : JAMIA, 2023. 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
3.2field-weighted citation impact, top 8% 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, 9 citations in OpenAlex.

  1. Article
  2. Personnel shortages and the provision of long-term care: an empirical analysis of German nursing homes.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  3. Article
  4. Article
  5. Article
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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

5 authors at 2 institutions in 1 country.

Yu Jin KangNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA.
Christine A MuellerSchool of Nursing, University of Minnesota, Twin Cities, Minnesota, USA.
Joseph E GauglerSchool of Public Health, University of Minnesota, Twin Cities, Minnesota, USA.ORCID 0000-0003-4797-485X
Michelle A Mathiason MooreSchool of Nursing, University of Minnesota, Twin Cities, Minnesota, USA.
Karen A MonsenSchool of Nursing, University of Minnesota, Twin Cities, Minnesota, USA.ORCID 0000-0003-0196-9799
University of Minnesota · USEmory University · US

Funding

Training in Interventions to Improve Outcomes in Chronic ConditionsT32NR012715 · NINR · EMORY UNIVERSITY · PI GARY, REBECCA A, SONG, MI-KYUNG · 2012 to 2022
$3.2M
NINR NIH HHS T32 NR012715
6 · The paper itself

Abstract

backgroundMeaningful data to determine safe and efficient nursing workload are needed. Reasoning a nurse can accomplish a finite number of interventions and location changes per hour, examination of time pressure using time motion study (TMS) methods will provide a comparable indication of safe and efficient workload for an individual nurse.

methodsAn observer shadowed 11 nurses at a 250-bed nursing home in the Southeastern United States and recorded 160 h of observations using TimeCaT, web-based TMS data recording software. Predefined Omaha System nursing interventions (N = 57) and locations (N = 8) were embedded within TimeCaT. The time-stamped data were downloaded from TimeCaT and analyzed using descriptive and inferential statistics. Five time pressure metrics were derived from previous TMS findings in acute care settings.

resultsOverall, nurses spent 66 s for each intervention, performed 65 interventions per hour, stayed 130 s at each location, changed locations 28 times per hour, and multitasked for 29% of working time. Computed hourly time pressure metrics enabled visualization of variability in time pressure metrics over time, with differences in multitasking by licensure, unit/role, and observation session time.

conclusionsNursing home nurses consistently experienced a high degree of time pressure, especially multitasking for one-third of their working time. To inform staffing decision making and improve the quality of care, resident outcomes, and nurse satisfaction, it is critical to identify ways to mitigate time pressure. Additional research is needed to refine and extend the use of the time pressure metrics.

Indexed as

Nursing HomesQuality of Health CareBenchmarkingHumansTime and Motion StudiesWorkloadnursing homesstandardized nursing terminologytime and motion studiestime pressure

Identifiers

PMID37352394
PMCPMC10586029
OpenAlexW4381839273

What OpenQuestion holds

Textmetadata
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.