Measurement and the practising ergonomist

Drury, Colin G.

doi:10.1080/00140130210166915

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…Because workload is a construct that is internal to a worker,84 85 some argue ‘there is no other way to measure such concepts as workload … directly unless we ask the participant.’86 What is most important in respect to measuring subjective workload is intersubjectivity, or, roughly, the degree to which multiple respondents interpret the questions of the measurement instrument in a similar way 87. The current study took several steps to achieve acceptable intersubjectivity.…”

Section: Discussionmentioning

confidence: 99%

A human factors framework and study of the effect of nursing workload on patient safety and employee quality of working life

Holden

Scanlon

Patel

et al. 2011

BMJ Quality & Safety

202

164

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Backgrounds Nursing workload is increasingly thought to contribute to both nurses’ quality of working life and quality/safety of care. Prior studies lack a coherent model for conceptualizing and measuring the effects of workload in health care. In contrast, we conceptualized a human factors model for workload specifying workload at three distinct levels of analysis and having multiple nurse and patient outcomes. Methods To test this model, we analyzed results from a cross-sectional survey of a volunteer sample of nurses in six units of two academic tertiary care pediatric hospitals. Results Workload measures were generally correlated with outcomes of interest. A multivariate structural model revealed that: the unit-level measure of staffing adequacy was significantly related to job dissatisfaction (path loading = .31) and burnout (path loading = .45); the task-level measure of mental workload related to interruptions, divided attention, and being rushed was associated with burnout (path loading = .25) and medication error likelihood (path loading = 1.04). Job-level workload was not uniquely and significantly associated with any outcomes. Discussion The human factors engineering model of nursing workload was supported by data from two pediatric hospitals. The findings provided a novel insight into specific ways that different types of workload could affect nurse and patient outcomes. These findings suggest further research and yield a number of human factors design suggestions.

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Section: Discussionmentioning

confidence: 99%

A human factors framework and study of the effect of nursing workload on patient safety and employee quality of working life

Holden

Scanlon

Patel

et al. 2011

BMJ Quality & Safety

202

164

View full text Add to dashboard Cite

show abstract

“…It is a strength because of the insight into a person’s cognitive load that comes from subjective assessment: “there is no other way to measure such concepts as workload … directly unless we ask the participant”80 Additionally, the safety science literature suggests that safety-related behavior is often driven by safety perceptions (e.g., perceived error likelihood) 81, 82. Nevertheless, physiological, cognitive task analytic, and other methods are available to measure workload, and observation, chart review, and simulation studies can be carried out to measure medication safety outcomes.…”

Section: Discussionmentioning

confidence: 99%

Effects of mental demands during dispensing on perceived medication safety and employee well-being: A study of workload in pediatric hospital pharmacies

Holden

Patel

Scanlon

et al. 2010

Research in Social and Administrative Pharmacy

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“…Too often, seat system design teams, in their quest to obtain design feedback, succumb to the temptation of throwing together a questionnaire on the back of an envelope with no guarantee of validity (Drury 2002). This is done because automobile seat comfort, as a science, lacks a coherent, universally accepted definition (Baber 2002).…”

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confidence: 98%

Ergonomics modelling and evaluation of automobile seat comfort

Kolich

Taboun

2004

Ergonomics

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Automobile seats are developed in an iterative manner because subjective feedback, which is usually of questionable quality, drives the design. The time and cost associated with iteration could be justified if the process was guaranteed to produce a comfortable seat. Unfortunately, this is not the case. Current practices are based on the premise that seat system design teams need objective, measurable laboratory standards, which can be linked to subjective perceptions of comfort. Only in this way can predictions be made regarding whether or not a particular design will be viewed by the consumer as comfortable. This type of forecasting ability would effectively improve the efficiency with which automobile seats are designed. In this context, the research reported, developed, and validated a stepwise, multiple linear regression model relating seat interface pressure characteristics, occupant anthropometry, occupant demographics, and perceptions of seat appearance to an overall, subjective comfort index derived from a survey with proven levels of reliability and validity. The model performance statistics were: adjusted r(2)=0.668, standard error of estimate=2.308, F (6, 38)=15.728, p=0.000, and cross-validated r (15)=0.952, p=0.000. From the model, human criteria for seat interface pressure measures were established. These findings could not have been attained without first demonstrating that (1) the data collection protocol for seat interface pressure measurement was repeatable and (2) seat interface pressure measurements can be used to distinguish between seats.

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Measurement and the practising ergonomist

Cited by 7 publications

References 9 publications

A human factors framework and study of the effect of nursing workload on patient safety and employee quality of working life

A human factors framework and study of the effect of nursing workload on patient safety and employee quality of working life

Effects of mental demands during dispensing on perceived medication safety and employee well-being: A study of workload in pediatric hospital pharmacies

Ergonomics modelling and evaluation of automobile seat comfort

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