Literature DB >> 12603719

Work sampling: valuable methodology to define nursing practice patterns.

Dianne Pelletier1, Christine Duffield.   

Abstract

The volatile clinical and managerial environment of today's health care system demands that the nursing sector regularly evaluates how staff deliver care. Management's central purpose is to support clinical core activities, striving for a reasonable balance between cost effectiveness and quality care. Various methodologies, such as work sampling and time-and-motion studies, have been used to explore work-related activities. As a cost-effective and useful methodology, work sampling warrants more in-depth exploration of the various techniques involved to ensure nurse managers, clinicians and researchers appreciate the complexities of the approach and its potential to contribute to an understanding of nursing work. The present paper describes work sampling as a method, reviews its use through the literature and outlines some of its advantages and disadvantages in comparison to the time-and-motion methodology, a method similar in many ways. It is intended to enhance readers' appreciation of work sampling's potential value to nurses and other health professionals, and to enhance the understanding of the difference between work sampling and time-and-motion studies.

Mesh:

Year:  2003        PMID: 12603719     DOI: 10.1046/j.1442-2018.2003.00132.x

Source DB:  PubMed          Journal:  Nurs Health Sci        ISSN: 1441-0745            Impact factor:   1.857


  13 in total

1.  Clinical information needs in context: an observational study of clinicians while using a clinical information system.

Authors:  Leanne M Currie; Mark Graham; Mureen Allen; Suzanne Bakken; Vimla Patel; James J Cimino
Journal:  AMIA Annu Symp Proc       Date:  2003

Review 2.  The impact of electronic health records on time efficiency of physicians and nurses: a systematic review.

Authors:  Lise Poissant; Jennifer Pereira; Robyn Tamblyn; Yuko Kawasumi
Journal:  J Am Med Inform Assoc       Date:  2005-05-19       Impact factor: 4.497

3.  Based on real-time recurrent learning on cost structure of the medical service.

Authors:  Yung-Tsan Jou; Ching-Chow Yang; Chien-Hsin Cheng; Ming-Li Chang
Journal:  NI 2012 (2012)       Date:  2012-06-23

4.  The effect of an electronic health record system on nursing staff time in a nursing home: a longitudinal cohort study.

Authors:  Esther Munyisia; Ping Yu; David Hailey
Journal:  Australas Med J       Date:  2014-07-31

Review 5.  Time motion studies in healthcare: what are we talking about?

Authors:  Marcelo Lopetegui; Po-Yin Yen; Albert Lai; Joseph Jeffries; Peter Embi; Philip Payne
Journal:  J Biomed Inform       Date:  2014-03-07       Impact factor: 6.317

6.  Can real time location system technology (RTLS) provide useful estimates of time use by nursing personnel?

Authors:  Terry L Jones; Cara Schlegel
Journal:  Res Nurs Health       Date:  2013-12-11       Impact factor: 2.228

7.  Implications of IV monoclonal antibody infusion reaction for the patient, caregiver, and practice: results of a multicenter study.

Authors:  Lee S Schwartzberg; Edward J Stepanski; Mark S Walker; Susan Mathias; Arthur C Houts; Barry V Fortner
Journal:  Support Care Cancer       Date:  2008-07-01       Impact factor: 3.603

8.  The work pattern of personal care workers in two Australian nursing homes: a time-motion study.

Authors:  Si-Yu Qian; Ping Yu; Zhen-Yu Zhang; David M Hailey; Pamela J Davy; Mark I Nelson
Journal:  BMC Health Serv Res       Date:  2012-09-06       Impact factor: 2.655

9.  Assessing time use in long-term institutional care: development, validity and inter-rater reliability of the Groningen Observational instrument for Long-Term Institutional Care (GO-LTIC).

Authors:  Astrid Tuinman; Mathieu de Greef; Roos Nieweg; Wolter Paans; Petrie Roodbol
Journal:  BMC Nurs       Date:  2016-02-29

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

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