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Comparing nursing handover and documentation: forming one set of patient information

Authors

  • M. Johnson RN, B App.Sci(Cumb), MSc (Syd)., PhD (Epidemiology & Population Health) (ANU),

    Professor of Nursing, Director, Corresponding author
    1. School of Nursing & Midwifery, University of Western Sydney, Sydney, NSW, Australia
    2. Centre for Applied Nursing Research (a joint facility of the South Western Sydney Local Health District and the University of Western Sydney), Sydney, NSW, Australia
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  • P. Sanchez BNursing, GradDip Nursing,

    Nurse Educator
    1. Centre for Applied Nursing Research, Sydney, NSW, Australia
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  • H. Suominen MSc (Applied Mathematics, incl. BSc (Mathematics), University of Turku, Finland), PhD (Computer Science, University of Turku, Finland),

    Senior Researcher
    1. NICTA, Canberra, ACT, Australia
    2. The Australian National University, Canberra, ACT, Australia
    3. University of Canberra, Canberra, ACT, Australia
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  • J. Basilakis MB, BS, BSc(Med), MBiomedE, GradDipCS,

    Senior Lecturer
    1. University of Western Sydney, Sydney, NSW, Australia
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  • L. Dawson BSc (Syd), MSc(UTas), PhD (Information Systems, Monash University),

    Associate Professor
    1. University of Wollongong, Wollongong, NSW, Australia
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  • B. Kelly BA (LaTrobe), MA (LaTrobe), PhD (Linguistics, University California, Santa Barbara),

    Senior Lecturer
    1. The University of Melbourne, Melbourne, Vic., Australia
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  • L. Hanlen BE(Elec), BSc(CS), PhD (Newcastle)

    Principal Researcher, Adjunct Associate Professor, Adjunct Professor
    1. NICTA, Canberra, ACT, Australia
    2. The Australian National University, Canberra, ACT, Australia
    3. University of Canberra, Canberra, ACT, Australia
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  • No conflict of interest has been declared by the authors. This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Abstract

Aim

The aim of this study was to explore the potential for one set of patient information for nursing handover and documentation.

Background

Communication of patient information requires two processes in nursing: a verbal summary of the patients' care and another report within the nursing notes, creating duplication.

Introduction

Advances in speech recognition technology have provided an opportunity to consider the practicality of one set of information at the nursing end-of-shift.

Methods

We used content analysis to compare transcripts from 162 digitally recorded handovers and written nursing notes for similar patients within general medical-surgical wards from two metropolitan hospitals in Sydney Australia.

Findings

Using the Nursing Handover Minimum Dataset analysis framework similar content [n = 2109 (handover) n = 1902 (nursing notes)] was found within the handovers and notes at the end-of-shift (7:00 am and 2:00 pm). Analysis of the overarching categories demonstrated the emphasis within the differing data sources as: patient identification (31%), care planning or interventions (25%), clinical history (13%), and clinical status (13%) for handover, vs. care planning (47%), clinical status (24%), and outcomes or goals of care (12%) for nursing notes.

Discussion

This study has demonstrated that similar patient information is presented at handover and within documentation. Major categories are consistent with international nursing minimum datasets in use.

Conclusion

We can use one set of patient information (within some limitations) for two purposes with system design, practice change and education. Experiments are currently being conducted trialling speech recognition within laboratory and clinical settings.

Implications for Nursing and Health Policy

One set of patient information, verbally generated at handover delivering electronic documentation within one process, will transform international nursing policy for nursing handover and documentation.

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