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Letters

All in a day’s work: an observational study to quantify how and with whom doctors on hospital wards spend their time

Mark Mackay and Pamela J Castle
MJA 2008; 189 (9): 528-529

To the Editor: Recent articles in the Journal describing endeavours to measure and classify the tasks of doctors are indicative of the re-emergence of work analysis and time and motion studies.1,2

While commending the authors on their endeavours, it is concerning that the articles state almost contradictory findings. Westbrook and colleagues reported that professional communication, social activities and meal breaks represented the greatest proportion of observed time.1 Zhu and colleagues reported that direct patient-related tasks accounted for 86% of intern time.2 Acknowledging the different contexts of the individual studies, the collective picture is one of confusion and may lead to misrepresentation of the work of doctors.

We have also analysed the work of doctors using observational techniques.3 We built on work done in the United States4 that is underpinned by functional job analysis (FJA)5 to produce a list of tasks (task taxonomy) that describe the work in the acute-care setting, and coordination of roles between hospitals and the community.3,6 The task is the fundamental unit of work, and FJA describes each task in terms of behaviours and interdependencies between people, data and things for the achievement of the task. The method seeks to achieve quality information through adopting precise language descriptions and benchmarks for levels of tasks required for jobs.5 Data are recorded by means of a simple electronic tool.6

Our method captures contextual information about the service (eg, location of work) and rigid details about the observed tasks. We have presented our findings at the 5th Health Services and Policy Research Conference of the Health Services Research Association of Australia and New Zealand,6 and the Change Champions Skill Mix and Workforce Development conference, both in 2007. We found that doctors in the units studied spent about 11% of time on education and training, between 50% and 60% on direct clinical activities (depending on context and role), and less than 10% of time on non-clinical administration. We suggest that if observations are recorded according to the purpose of the output, what may appear to be “socialising” may, in fact, be waiting for something or someone. It is far more important to measure what the impediment to getting on with the job is, rather than inferring that socialising is the main activity.

There is a need for a consistent task classification system that can be used across units and across professions to describe the work that is being performed. A common unit of measure would provide a strong foundation for collaboration and learning in work redesign projects across the nation. Without such a system, planning for the future and evaluation of new roles will continue to be hindered. To this end, we are happy to share the task taxonomy that we have developed, and welcome contact via email.

Competing interests: Pam Castle and Mark Mackay were formerly employed by the South Australian Department of Health. They conducted the research mentioned in this letter during their employment with the Department.

Mark Mackay, Senior Program Manager, Research and Scheme Reform,and Visiting Research Fellow2Pamela J Castle, Senior Human Resources Consultant3

1 TRACsa: Trauma and Injury Recovery, Adelaide, SA.

2 University of Adelaide, Adelaide, SA.

3 ACH Group, Adelaide, SA.

mark.mackayATadelaide.edu.au

  1. Westbrook JI, Ampt A, Kearney L, Rob MI. All in a day’s work: an observational study to quantify how and with whom doctors on hospital wards spend their time. Med J Aust 2008; 188: 506-509. <eMJA full text> <PubMed>
  2. Zhu JN, Weiland TJ, Taylor DM, Dent AW. An observational study of emergency department intern activities. Med J Aust 2008; 188: 514-519. <eMJA full text> <PubMed>
  3. Mackay M, Castle P. Building better work. Measuring what gets done: a task analysis approach for the health sector. Adelaide: South Australian Department of Health, 2007. http://www.publications.health.sa.gov.au/cgi/viewcontent.cgi?article=1001&context=wplan (accessed Aug 2008).
  4. Fine SA, Harvey RJ, Cronshaw SF. FJA strategies for addressing O*NET limitations in a post-DOT environment. In: Fleishman, EA (Chair). Things, data and people: fifty years of a seminal theory. Proceedings of the 19th annual conference of the Society for Industrial and Organizational Psychology; Chicago, 2004. http://www.siop.org/Conferences/04Con/Program/saturday_am.aspx (accessed Aug 2008).
  5. Moore FI. Functional job analysis — guidelines for task analysis and job design. Geneva: World Health Organization, 1999.
  6. Mackay M, Castle P. The development of a workforce tracking tool — gaining insight to influence the future workforce [abstract]. Proceedings of the 5th Health Services and Policy Research Conference; 2007 Dec 2-5; Auckland, New Zealand. Sydney: Health Services Research Association of Australia and New Zealand, 2007: 55. (Abstract No. 37.) http://www.hsraanz.org (accessed Jun 2008).

(Received 19 May 2008, accepted 3 Jul 2008)

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©The Medical Journal of Australia 2008 www.mja.com.au PRINT ISSN: 0025-729X ONLINE ISSN: 1326-5377