Literature DB >> 25651283

Development and early application of the Scottish Community Nursing Workload Measurement Tool.

May Grafen1, Fiona C Mackenzie.   

Abstract

This article describes the development and early application of the Scottish Community Nursing Workload Measurement Tool, part of a suite of tools aiming to ensure a consistent approach to measuring nursing workload across NHS Scotland. The tool, which enables community nurses to record and report their actual workload by collecting information on six categories of activity, is now being used by all NHS boards as part of a triangulated approach. Data being generated by the tool at national level include indications that approximately 50% of band 6 district nurses' time is spent in face-to-face and non-face-to-face contact and planned sessions with patients, and that over 60% of face-to-face contacts are at 'moderate' and 'complex' levels of intervention (2012 data). These data are providing hard evidence of key elements of community nursing activity and practice that will enable informed decisions about workforce planning to be taken forward locally and nationally. The article features an account of the early impact of the tool's implementation in an NHS board by an associate director of nursing. Positive effects from implementation include the generation of reliable data to inform planning decisions, identification of issues around nursing time spent on administrative tasks, clarification of school nursing roles, and information being fed back to teams on various aspects of performance.

Entities:  

Keywords:  Community nursing; Policy; Systematic approach; Triangulated approach; Workload

Mesh:

Year:  2015        PMID: 25651283     DOI: 10.12968/bjcn.2015.20.2.89

Source DB:  PubMed          Journal:  Br J Community Nurs        ISSN: 1462-4753


  1 in total

1.  Revision of hospital work organization using nurse and healthcare assistant workload indicators as decision aid tools.

Authors:  Isabelle Briatte; Caroline Allix-Béguec; Gérard Garnier; Mercédès Michel
Journal:  BMC Health Serv Res       Date:  2019-08-07       Impact factor: 2.655

  1 in total

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