Evidence map›Paper›PMID 32055774›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2020

Attitudes and Behavior of Health Care Workers Before, During, and After Implementation of Real-Time Location System Technology.

Joan M Griffin, Thomas R Hellmich, Kalyan Sunder Pasupathy, Shealeigh A Funni, Skylar M Pagel, Sankara Subramanian Srinivasan, Heather A Heaton, Mustafa Y Sir, David M Nestler, Renaldo C Blocker and 4 more

Open access · goldAbstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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  5. Observational
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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

14 authors at 2 institutions in 1 country.

Joan M GriffinDivision of Health Care Policy and Research, Mayo Clinic, Rochester, MN.
Thomas R HellmichDepartment of Emergency Medicine, Mayo Clinic, Rochester, MN.
Kalyan Sunder PasupathyDivision of Health Care Policy and Research, Mayo Clinic, Rochester, MN.
Shealeigh A FunniRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
Skylar M PagelRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
Sankara Subramanian SrinivasanDavid Eccles School of Business, University of Utah, Salt Lake City.
Heather A HeatonDepartment of Emergency Medicine, Mayo Clinic, Rochester, MN.
Mustafa Y SirDivision of Health Care Policy and Research, Mayo Clinic, Rochester, MN.
David M NestlerDepartment of Emergency Medicine, Mayo Clinic, Rochester, MN.
Renaldo C BlockerDivision of Health Care Policy and Research, Mayo Clinic, Rochester, MN.
Hunter J HawthorneRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
Kyle R KoenigRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
Kelly M HerbstRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
M Susan HallbeckDivision of Health Care Policy and Research, Mayo Clinic, Rochester, MN.
Mayo Clinic in Arizona · USUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess how staff attitudes before, during, and after implementation of a real-time location system (RTLS) that uses radio-frequency identification tags on staff and patient identification badges and on equipment affected staff's intention to use and actual use of an RTLS. PARTICIPANTS AND

methodsA series of 3 online surveys were sent to staff at an emergency department with plans to implement an RTLS between June 1, 2015, and November 29, 2016. Each survey corresponded with a different phase of implementation: preimplementation, midimplementation, and postimplementation. Multiple logistic regression with backward elimination was used to assess the relationship between demographic variables, attitudes about RTLSs, and intention to use or actual use of an RTLS.

resultsDemographic variables were not associated with intention to use or actual use of the RTLS. Before implementation, poor perceptions about the technology's usefulness and lack of trust in how employers would use tracking data were associated with weaker intentions to use the RTLS. During and after implementation, attitudes about the technology's use, not issues related to autonomy and privacy, were associated with less use of the technology.

conclusionReal-time location systems have the potential to assess patterns of health care delivery that could be modified to reduce costs and improve the quality of care. Successful implementation, however, may hinge on how staff weighs attitudes and concerns about their autonomy and personal privacy with organizational goals. With the large investments required for new technology, serious consideration should be given to address staff attitudes about privacy and technology in order to assure successful implementation.

Indexed as

ED, emergency departmentRFID, radio-frequency identificationRTLS, real-time location systemTAM, technology acceptance model

Identifiers

PMID32055774
PMCPMC7010964
OpenAlexW2998742474

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.