Evidence map›Paper›PMID 36131691›Full record

ArticleJournal of research in nursing : JRN2022

The feasibility and validity of using a real time location system (RTLS) to measure bedside contact time.

Ann-Marie Cannaby, Vanda Carter, Thomas Hoe, Stephenson Strobel, Elena Ashtari Tafti, Rephna Baker, Clare Nash, Vanessa Whatley, Richard Gray

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Journal of research in nursing : JRN, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04114110 (A Retrospective, Observational Analysis Using Real Time Location Systems), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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.

NCT04114110 completednot on this map

A Retrospective, Observational Analysis Using Real Time Location Systems (RTLS) Technology to Explore the Effects of Clinical Staffing on Hospital Productivity and Patient Health Outcomes

TypeobservationalSponsorThe Royal Wolverhampton Hospitals NHS TrustRan2020 to 2021Enrolled2,000ConditionsInpatients, StaffArmsRTLS data
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Observational
  3. 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

9 authors at 1 institution in 3 countries.

Ann-Marie CannabyChief Nurse, The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK.
Vanda CarterPractice Education Facilitator for Research, The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK.ORCID https://orcid.org/0000-0002-9997-319X
Thomas HoeEconomist Researcher/ Consultant, The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK.
Stephenson StrobelEconomics Candidate, Cornell University Department of Policy Analysis and Management, Ithaca, NY.
Elena Ashtari TaftiPhD in Economics Candidate, University College London, London, UK; The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK.
Rephna BakerAssociate Chief Nurse,The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK.
Clare NashSenior Procurement Nurse, The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK.
Vanessa WhatleyDeputy CNO, The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK.
Richard GrayProfessor of Clinical Nursing Practice, School of Nursing and Midwifery, College of Science, Health and Engineering, La Trobe University, Bundoora, Australia.
La Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between the nurse-to-patient ratio and patient outcomes has been extensively investigated. Real time location systems have the potential capability of measuring the actual amount of bedside contact patients receive. Aims: This study aimed to determine the feasibility and accuracy of real time location systems as a measure of the amount of contact time that nurses spent in the patients' bed space. Methods: An exploratory, observational, feasibility study was designed to compare the accuracy of data collection between manual observation performed by a researcher and real time location systems data capture capability. Four nurses participated in the study, which took place in 2019 on two hospital wards. They were observed by a researcher while carrying out their work activities for a total of 230 minutes. The amount of time the nurses spent in the patients' bed space was recorded in 10-minute blocks of time and the real time location systems data were extracted for the same nurse at the time of observation. Data were then analysed for the level of agreement between the observed and the real time location systems measured data, descriptively and graphically using a kernel density and a scatter plot. Results: The difference (in minutes) between researcher observed and real time location systems measured data for the 23, 10-minute observation blocks ranged from zero (complete agreement) to 5 minutes. The mean difference between the researcher observed and real time location systems time in the patients' bed space was one minute (10% of the time). On average, real time location systems measured time in the bed space was longer than the researcher observed time. Conclusions: There were good levels of agreement between researcher observation and real time location systems data of the time nurses spend at the bedside. This study confirms that it is feasible to use real time location systems as an accurate measure of the amount of time nurses spend at the patients' bedside.

Indexed as

direct patient contacthealthcare resource managementnurse staffing requirementsnursing timereal time location system

Identifiers

PMID36131691
PMCPMC9483226
OpenAlexW3211680767

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.