Evidence map›Paper›PMID 32308892›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2019

Nurses' Stress Associated with Nursing Activities and Electronic Health Records: Data Triangulation from Continuous Stress Monitoring, Perceived Workload, and a Time Motion Study.

Po-Yin Yen, Nicole Pearl, Cierra Jethro, Emily Cooney, Brittany McNeil, Ling Chen, Marcelo Lopetegui, Thomas M Maddox, Marilyn Schallom

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Factors associated with nurse well-being in relation to electronic health record use: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021
    Pooled it
  3. Review
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  10. Observational
  11. Review
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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

9 authors.

Po-Yin YenInstitute for Informatics, Washington University School of Medicine, St. Louis, MO, USA.
Nicole PearlInstitute for Informatics, Washington University School of Medicine, St. Louis, MO, USA.
Cierra JethroGoldfarb School of Nursing, Barnes-Jewish College, BJC HealthCare, St. Louis, MO, USA.
Emily CooneyGoldfarb School of Nursing, Barnes-Jewish College, BJC HealthCare, St. Louis, MO, USA.
Brittany McNeilGoldfarb School of Nursing, Barnes-Jewish College, BJC HealthCare, St. Louis, MO, USA.
Ling ChenDivision of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA.
Marcelo LopeteguiInstituto de Ciencias e Innovación en Medicina, Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Santiago, Chile.
Thomas M MaddoxHealthcare Innovation Lab, BJC HealthCare/Washington University School of Medicine, St. Louis, MO, USA.
Marilyn SchallomBarnes Jewish Hospital, BJC HealthCare, St. Louis, MO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As health IT has become overloaded with patient information, provider burnout and stress has accelerated. Studies have shown that EHR usage leads to heightened cognitive workload for nurses, and increases in cognitive workload can result in stronger feelings of exhaustion and burnout. We conducted a time motion study in an oncology division to examine the relationships between nurses' perceived workload, stress measured by blood pulse wave (BPw), and their time spent on nursing activities, and to identify stress associated with EHR use. We had a total of 33 observations from 7 nurses. We found that EHR-related stress is associated with nurses' perceived physical demand and frustration. We also found that nurses' perceived workload is a strong predictor of nurses' stress as well as how they spent time with their patients. They also experienced higher perceived mental demand, physical demand, and temporal demand when they were assigned to more patients, regardless of patient acuity. Our study presents a unique data triangulation approach from continuous stress monitoring, perceived workload, and a time motion study.

Indexed as

Electronic Health RecordsWorkloadAdultBlood PressureBurnout, ProfessionalFemaleHumansLongitudinal StudiesMaleNursing Staff, HospitalOccupational StressOncology Service, HospitalTime and Motion Studies

Identifiers

PMID32308892
PMCPMC7153131

What OpenQuestion holds

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Registered trials

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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.