Literature DB >> 22030021

Determining a set of measurable and relevant factors affecting nursing workload in the acute care hospital setting: a cross-sectional study.

Dries Myny1, Ann Van Hecke, Dirk De Bacquer, Sofie Verhaeghe, Micheline Gobert, Tom Defloor, Dirk Van Goubergen.   

Abstract

BACKGROUND: While there has been great interest in the effect of nurse staffing levels have on the quality of care in hospitals, less attention has been given to determining the factors that affect the nursing workload. There are no existing studies that help define measurable factors that have a clear relation to nursing workload.
OBJECTIVES: The aim of this study was to determine the most important and measurable factors, other than patient acuity, that influence nursing workload.
DESIGN: A cross-sectional design. SETTINGS: Hospitals within the acute hospital care setting. PARTICIPANTS: Persons with a nursing educational background, working in Belgian acute care hospitals.
METHODS: A self-administered questionnaire was developed based on the results of an integrative review, the use of focus groups and a survey on measurability and relevance of the included factors. The questionnaire listed relevant and measurable factors related to nursing workload. Weight and frequency of each factor was assessed.
RESULTS: The initial list consisted of 94 factors. These factors were regrouped and organised into a questionnaire of 28 measurable and sufficiently relevant factors affecting the nursing workload. More than half of the initial factors seemed to be relevant, but hard to measure on a daily basis. Based on the impact of each factor, the number of work interruptions was the most important factor related to nursing workload.
CONCLUSIONS: It is unlikely that a workload instrument will ever be able to take into account all possible factors affecting the nursing workload. Nevertheless, the number of work interruptions, the patient turnover rate and the number of mandatory registrations should be included in the development or revision of a workload measurement tool.
© 2011 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 22030021     DOI: 10.1016/j.ijnurstu.2011.10.005

Source DB:  PubMed          Journal:  Int J Nurs Stud        ISSN: 0020-7489            Impact factor:   5.837


  23 in total

1.  Nurses' work with interruptions: an objective model for testing interventions.

Authors:  Robert A Myers; Pratik J Parikh
Journal:  Health Care Manag Sci       Date:  2017-09-04

2.  Assessing Intensity of Nursing Care Needs Using Electronically Available Data.

Authors:  Elaine L Larson; Bevin Cohen; Jianfang Liu; Philip Zachariah; David Yao; Jingjing Shang
Journal:  Comput Inform Nurs       Date:  2017-12       Impact factor: 1.985

3.  Coincidence Analysis: A Novel Approach to Modeling Nurses' Workplace Experience.

Authors:  Dana M Womack; Edward J Miech; Nicholas J Fox; Linus C Silvey; Anna M Somerville; Deborah H Eldredge; Linsey M Steege
Journal:  Appl Clin Inform       Date:  2022-08-31       Impact factor: 2.762

4.  Registered Nurse Strain Detection Using Ambient Data: An Exploratory Study of Underutilized Operational Data Streams in the Hospital Workplace.

Authors:  Dana M Womack; Michelle R Hribar; Linsey M Steege; Nancy H Vuckovic; Deborah H Eldredge; Paul N Gorman
Journal:  Appl Clin Inform       Date:  2020-09-16       Impact factor: 2.342

5.  Turning over patient turnover: an ethnographic study of admissions, discharges, and transfers.

Authors:  Bonnie Mowinski Jennings; Margarete Sandelowski; Melinda K Higgins
Journal:  Res Nurs Health       Date:  2013-10-08       Impact factor: 2.228

6.  Evaluation of Electronic Health Record-Generated Work Intensity Scores and Nurse Perceptions of Workload Appropriateness.

Authors:  Dana Womack; Cheri Warren; Mariah Hayes; Sydnee Stoyles; Deborah Eldredge
Journal:  Comput Inform Nurs       Date:  2021-06       Impact factor: 2.146

7.  Factors affecting intensive care units nursing workload.

Authors:  Mohammadkarim Bahadori; Ramin Ravangard; Mehdi Raadabadi; Seyed Masod Mosavi; Mohammad Gholami Fesharaki; Fardin Mehrabian
Journal:  Iran Red Crescent Med J       Date:  2014-08-05       Impact factor: 0.611

8.  Trapezius muscle load, heart rate and time pressure during day and night shift in Swiss and Japanese nurses.

Authors:  Corinne Nicoletti; Christian Müller; Itoko Tobita; Masaru Nakaseko; Thomas Läubli
Journal:  Ind Health       Date:  2014-03-14       Impact factor: 2.179

9.  Resources-tasks imbalance: Experiences of nurses from factors influencing workload to increase.

Authors:  Mojgan Khademi; Easa Mohammadi; Zohreh Vanaki
Journal:  Iran J Nurs Midwifery Res       Date:  2015 Jul-Aug

10.  Balancing nurses' workload in hospital wards: study protocol of developing a method to manage workload.

Authors:  W F J M van den Oetelaar; H F van Stel; W van Rhenen; R K Stellato; W Grolman
Journal:  BMJ Open       Date:  2016-11-10       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.