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Validation of standard times and influencing factors during the development of the Workload Indicator for Nursing

Dries Myny UGent, Dirk De Bacquer UGent, Ann Van Hecke UGent, Dimitri Beeckman UGent, Sofie Verhaeghe UGent and Dirk Van Goubergen UGent (2014) JOURNAL OF ADVANCED NURSING. 70(3). p.674-686
abstract
Background. The value of a tool to assist in optimal allocation of available nursing resources is paramount. Aims. This paper is a report of a study with the goals (1) to determine whether the standard times of the Belgian Nursing Minimum Dataset (B-NMDS-2) are a valid basis for the development of a workload measurement tool; (2) to determine the impact of factors that influence nursing workload most; and (3) to examine the impact of one item on the time of another item of the B-NMDS-2. Methods. The data of this prospective study was collected during September 2010 in a convenience sample of 23 nursing units in four hospitals in Belgium. The data collection included three parts: the registration of (1) the items of the B-NMDS-2; (2) the time of direct patient care; and (3) variables which influence the nursing workload at patient and unit level. Results. The correlations between the sum of Direct and Indirect Patient Care and the Workload Indicator for Nursing-score of the surgical, internal medicine and intensive care units were respectively 0.85, 0.88 and 0.89. Significant differences in standard times for nursing activities at the patient-level are found, influenced by the level of need for mobility support. Units needing significantly more time for DIPC than predicted by the WiN-score, had a higher mean number of complex nursing activities per patient. Conclusions. The high correlation coefficients between the total time of direct patient care and the WiN-score, indicate that the standard times of the B-NMDS-2 are valid.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Nursing activities, nursing minimum dataset, standard times, self-registration, workload measurement, nursing, PATIENT CLASSIFICATION-SYSTEM, INTENSIVE-CARE, HOSPITALS, NURSES, LEVEL, UNITS, TURNOVER, OUTCOMES, SET
journal title
JOURNAL OF ADVANCED NURSING
J. Adv. Nurs.
volume
70
issue
3
pages
674 - 686
Web of Science type
Article
Web of Science id
000334357800018
ISSN
0309-2402
DOI
10.1111/jan.12232
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2136493
handle
http://hdl.handle.net/1854/LU-2136493
date created
2012-06-07 19:07:32
date last changed
2014-11-20 14:38:49
@article{2136493,
  abstract     = {Background. The value of a tool to assist in optimal allocation of available nursing resources is paramount.
Aims. This paper is a report of a study with the goals (1) to determine whether the standard times of the Belgian Nursing Minimum Dataset (B-NMDS-2) are a valid basis for the development of a workload measurement tool; (2) to determine the impact of factors that influence nursing workload most; and (3) to examine the impact of one item on the time of another item of the B-NMDS-2.
Methods. The data of this prospective study was collected during September 2010 in a convenience sample of 23 nursing units in four hospitals in Belgium. The data collection included three parts: the registration of (1) the items of the B-NMDS-2; (2) the time of direct patient care; and (3) variables which influence the nursing workload at patient and unit level.
Results. The correlations between the sum of Direct and Indirect Patient Care and the Workload Indicator for Nursing-score of the surgical, internal medicine and intensive care units were respectively 0.85, 0.88 and 0.89. Significant differences in standard times for nursing activities at the patient-level are found, influenced by the level of need for mobility support. Units needing significantly more time for DIPC than predicted by the WiN-score, had a higher mean number of complex nursing activities per patient.
Conclusions. The high correlation coefficients between the total time of direct patient care and the WiN-score, indicate that the standard times of the B-NMDS-2 are valid.},
  author       = {Myny, Dries and De Bacquer, Dirk and Van Hecke, Ann and Beeckman, Dimitri and Verhaeghe, Sofie and Van Goubergen, Dirk},
  issn         = {0309-2402},
  journal      = {JOURNAL OF ADVANCED NURSING},
  keyword      = {Nursing activities,nursing minimum dataset,standard times,self-registration,workload measurement,nursing,PATIENT CLASSIFICATION-SYSTEM,INTENSIVE-CARE,HOSPITALS,NURSES,LEVEL,UNITS,TURNOVER,OUTCOMES,SET},
  language     = {eng},
  number       = {3},
  pages        = {674--686},
  title        = {Validation of standard times and influencing factors during the development of the Workload Indicator for Nursing},
  url          = {http://dx.doi.org/10.1111/jan.12232},
  volume       = {70},
  year         = {2014},
}

Chicago
Myny, Dries, Dirk De Bacquer, Ann Van Hecke, Dimitri Beeckman, Sofie Verhaeghe, and Dirk Van Goubergen. 2014. “Validation of Standard Times and Influencing Factors During the Development of the Workload Indicator for Nursing.” Journal of Advanced Nursing 70 (3): 674–686.
APA
Myny, D., De Bacquer, D., Van Hecke, A., Beeckman, D., Verhaeghe, S., & Van Goubergen, D. (2014). Validation of standard times and influencing factors during the development of the Workload Indicator for Nursing. JOURNAL OF ADVANCED NURSING, 70(3), 674–686.
Vancouver
1.
Myny D, De Bacquer D, Van Hecke A, Beeckman D, Verhaeghe S, Van Goubergen D. Validation of standard times and influencing factors during the development of the Workload Indicator for Nursing. JOURNAL OF ADVANCED NURSING. 2014;70(3):674–86.
MLA
Myny, Dries, Dirk De Bacquer, Ann Van Hecke, et al. “Validation of Standard Times and Influencing Factors During the Development of the Workload Indicator for Nursing.” JOURNAL OF ADVANCED NURSING 70.3 (2014): 674–686. Print.