Evidence map›Paper›PMID 34345775›Full record

ArticleJMIR nursing

Understanding Nursing Workflow for Inpatient Education Delivery: Time and Motion Study.

Kelley M Baker, Michelle F Magee, Kelly M Smith

Abstract read
In one paragraph

Article in JMIR nursing. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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  3. 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

3 authors.

Kelley M BakerMedStar Institute for Quality and Safety Columbia, MD United States.ORCID https://orcid.org/0000-0002-2473-9606
Michelle F MageeMedStar Health Research Institute Hyattsville, MD United States.ORCID https://orcid.org/0000-0002-4692-3201
Kelly M SmithMedStar Institute for Quality and Safety Columbia, MD United States.ORCID https://orcid.org/0000-0002-9483-5118

Funding

Diabetes to Go InpatientR34DK109503 · NIDDK · MEDSTAR HEALTH RESEARCH INSTITUTE · PI MAGEE, MICHELLE FISCHMANN · 2016 to 2017
$471k
NIDDK NIH HHS R34 DK109503
6 · The paper itself

Abstract

backgroundDiabetes self-management education and support improves diabetes-related outcomes, but many persons living with diabetes do not receive this. Adults with diabetes have high hospitalization rates, so hospital stays may present an opportunity for diabetes education. Nurses, supported by patient care technicians, are typically responsible for delivering patient education but often do not have time. Using technology to support education delivery in the hospital is one potentially important solution.

objectiveThe aim of this study was to evaluate nurse and patient care technician workflow to identify opportunities for providing education. The results informed implementation of a diabetes education program on a tablet computer in the hospital setting within existing nursing workflow with existing staff.

methodsWe conducted a time and motion study of nurses and patient care technicians on three medical-surgical units of a large urban tertiary care hospital. Five trained observers conducted observations in 2-hour blocks. During each observation, a single observer observed a single nurse or patient care technician and recorded the tasks, locations, and their durations using a Web-based time and motion data collection tool. Percentage of time spent on a task and in a location and mean duration of task and location sessions were calculated. In addition, the number of tasks and locations per hour, number of patient rooms visited per hour, and mean time between visits to a given patient room were determined.

resultsNurses spent approximately one-third of their time in direct patient care and much of their time (60%) on the unit but not in a patient room. Compared with nurses, patient care technicians spent a significantly greater percentage of time in direct patient care (42%;

conclusionsThe workflow of nurses and patient care technicians, constantly in and out of patient rooms, suggests an opportunity for delivering a tablet to the patient bedside. The average time between visits to a given room is consistent with bringing the tablet to a patient in one visit and retrieving it at the next. However, the relatively short duration of direct patient care sessions could potentially limit the ability of nurses and patient care technicians to spend much time with each patient on instruction in the technology platform or the content.

Indexed as

nursingpatient educationtime and motion studiestype 2 diabetes mellitusworkflow

Identifiers

PMID34345775
PMCPMC8279433

What OpenQuestion holds

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LicenceCC BY
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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.