Literature DB >> 32308892

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 Yen1,2, Nicole Pearl1, Cierra Jethro2, Emily Cooney2, Brittany McNeil2, Ling Chen3, Marcelo Lopetegui4, Thomas M Maddox5,6, Marilyn Schallom7.   

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. ©2019 AMIA - All rights reserved.

Entities:  

Year:  2020        PMID: 32308892      PMCID: PMC7153131     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  47 in total

1.  A model of burnout and life satisfaction amongst nurses.

Authors:  E Demerouti; A B Bakker; F Nachreiner; W B Schaufeli
Journal:  J Adv Nurs       Date:  2000-08       Impact factor: 3.187

2.  Effect of mandated nurse-patient ratios on patient wait time and care time in the emergency department.

Authors:  Theodore C Chan; James P Killeen; Gary M Vilke; Jean B Marshall; Edward M Castillo
Journal:  Acad Emerg Med       Date:  2010-05       Impact factor: 3.451

3.  Failure to rescue.

Authors:  Sean P Clarke; Linda H Aiken
Journal:  Am J Nurs       Date:  2003-01       Impact factor: 2.220

4.  Electronic health records documentation in nursing: nurses' perceptions, attitudes, and preferences.

Authors:  Linda E Moody; Elaine Slocumb; Bruce Berg; Donna Jackson
Journal:  Comput Inform Nurs       Date:  2004 Nov-Dec       Impact factor: 1.985

5.  Estimating the association between burnout and electronic health record-related stress among advanced practice registered nurses.

Authors:  Daniel A Harris; Jacqueline Haskell; Emily Cooper; Nancy Crouse; Rebekah Gardner
Journal:  Appl Nurs Res       Date:  2018-06-23       Impact factor: 2.257

6.  Time-motion analysis of clinical nursing documentation during implementation of an electronic operating room management system for ophthalmic surgery.

Authors:  Sarah Read-Brown; David S Sanders; Anna S Brown; Thomas R Yackel; Dongseok Choi; Daniel C Tu; Michael F Chiang
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

7.  Association of Nurse Workload With Missed Nursing Care in the Neonatal Intensive Care Unit.

Authors:  Heather L Tubbs-Cooley; Constance A Mara; Adam C Carle; Barbara A Mark; Rita H Pickler
Journal:  JAMA Pediatr       Date:  2019-01-01       Impact factor: 16.193

8.  Measurement of nursing care time of specific interventions on a hematology-oncology unit related to diagnostic categories.

Authors:  Andrea Colombo; Barbara Solberg; Erwin Vanderhoeft; Graham Ramsay; Harry C Schouten
Journal:  Cancer Nurs       Date:  2005 Nov-Dec       Impact factor: 2.592

9.  A ward-based time study of paper and electronic documentation for recording vital sign observations.

Authors:  David Wong; Timothy Bonnici; Julia Knight; Stephen Gerry; James Turton; Peter Watkinson
Journal:  J Am Med Inform Assoc       Date:  2017-07-01       Impact factor: 4.497

10.  Thinking processes used by nurses in clinical decision making.

Authors:  Kathryn A Smith Higuchi; Janet G Donald
Journal:  J Nurs Educ       Date:  2002-04       Impact factor: 1.726

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  6 in total

1.  Evaluation of Physicians' Electronic Health Records Experience Using Actual and Perceived Measures.

Authors:  Saif Khairat; Cameron Coleman; Paige Ottmar; Thomas Bice; Shannon S Carson
Journal:  Perspect Health Inf Manag       Date:  2022-01-01

2.  The association between perceived electronic health record usability and professional burnout among US nurses.

Authors:  Edward R Melnick; Colin P West; Bidisha Nath; Pamela F Cipriano; Cheryl Peterson; Daniel V Satele; Tait Shanafelt; Liselotte N Dyrbye
Journal:  J Am Med Inform Assoc       Date:  2021-07-30       Impact factor: 4.497

3.  Change in nurses' psychosocial characteristics pre- and post-electronic medical record system implementation coinciding with the SARS-CoV-2 pandemic: pre- and post-cross-sectional surveys.

Authors:  Rebecca M Jedwab; Alison M Hutchinson; Elizabeth Manias; Rafael A Calvo; Naomi Dobroff; Bernice Redley
Journal:  Int J Med Inform       Date:  2022-04-29       Impact factor: 4.730

Review 4.  Factors associated with nurse well-being in relation to electronic health record use: A systematic review.

Authors:  Oliver T Nguyen; Shivani Shah; Alexander J Gartland; Arpan Parekh; Kea Turner; Sue S Feldman; Lisa J Merlo
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

5.  The relationship between mental workload and job performance among Iranian nurses providing care to COVID-19 patients: A cross-sectional study.

Authors:  Sima Pourteimour; Safura Yaghmaei; Hassan Babamohamadi
Journal:  J Nurs Manag       Date:  2021-03-10       Impact factor: 3.325

6.  Negative Emotions Induced by Work-Related Information Technology Use in Hospital Nursing.

Authors:  Diane Golay; Minna Salminen Karlsson; Åsa Cajander
Journal:  Comput Inform Nurs       Date:  2021-08-04       Impact factor: 1.985

  6 in total

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