{"title":"Residents' subjective mental workload during computerized prescription entry.","authors":"Dong Wei, Haiyan Gong, Xue Wu","doi":"10.1080/17538157.2021.1990932","DOIUrl":null,"url":null,"abstract":"<p><p>To examine residents' subjective mental workload when they enter prescriptions in a computerized physician order entry (CPOE) system. Twenty-two residents completed six prescribing tasks in which two factors were manipulated: numerical input method and level of urgency. Data on demographic characteristics, familiarity with CPOE, and pretest performance were collected. The subjective mental workload was measured by the National Aeronautics and Space Administration-Task Load Index (NASA-TLX). Temporal demand (Mean = 34.48) contributed most to residents' workload on the CPOE task, followed by Performance (Mean = 29.23). No significant associations were found between workload and demographic characteristics, CPOE familiarity, or pretest CPOE performance (<i>p</i>'s > .05). A 3 × 2 repeated-measures ANOVA yielded main effects of numerical input method [<i>F</i> (2, 19) = 88.358, <i>p</i> < .001, η<sup>2</sup> = .900] and level of urgency [<i>F</i> (1, 21) = 169.654, <i>p</i> < .001, η<sup>2</sup> = .890], and interaction of input method and urgency [<i>F</i> (2, 20) = 87.427, <i>p</i> < .001, η<sup>2</sup> = .900]. Residents' major sources of workload during the CPOE prescription were temporal demand and performance. Prescriptions entered by the row of numbers exhibited the highest workload. Workload increased with higher level of urgency. It is necessary to emphasize the negative impact of subjective workload, especially in prescription task under urgent situation. Further researches focus on medical staff's workload are encouraged to ensure patient safety.</p>","PeriodicalId":54984,"journal":{"name":"Informatics for Health & Social Care","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatics for Health & Social Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17538157.2021.1990932","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/10/21 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 1
Abstract
To examine residents' subjective mental workload when they enter prescriptions in a computerized physician order entry (CPOE) system. Twenty-two residents completed six prescribing tasks in which two factors were manipulated: numerical input method and level of urgency. Data on demographic characteristics, familiarity with CPOE, and pretest performance were collected. The subjective mental workload was measured by the National Aeronautics and Space Administration-Task Load Index (NASA-TLX). Temporal demand (Mean = 34.48) contributed most to residents' workload on the CPOE task, followed by Performance (Mean = 29.23). No significant associations were found between workload and demographic characteristics, CPOE familiarity, or pretest CPOE performance (p's > .05). A 3 × 2 repeated-measures ANOVA yielded main effects of numerical input method [F (2, 19) = 88.358, p < .001, η2 = .900] and level of urgency [F (1, 21) = 169.654, p < .001, η2 = .890], and interaction of input method and urgency [F (2, 20) = 87.427, p < .001, η2 = .900]. Residents' major sources of workload during the CPOE prescription were temporal demand and performance. Prescriptions entered by the row of numbers exhibited the highest workload. Workload increased with higher level of urgency. It is necessary to emphasize the negative impact of subjective workload, especially in prescription task under urgent situation. Further researches focus on medical staff's workload are encouraged to ensure patient safety.
期刊介绍:
Informatics for Health & Social Care promotes evidence-based informatics as applied to the domain of health and social care. It showcases informatics research and practice within the many and diverse contexts of care; it takes personal information, both its direct and indirect use, as its central focus.
The scope of the Journal is broad, encompassing both the properties of care information and the life-cycle of associated information systems.
Consideration of the properties of care information will necessarily include the data itself, its representation, structure, and associated processes, as well as the context of its use, highlighting the related communication, computational, cognitive, social and ethical aspects.
Consideration of the life-cycle of care information systems includes full range from requirements, specifications, theoretical models and conceptual design through to sustainable implementations, and the valuation of impacts. Empirical evidence experiences related to implementation are particularly welcome.
Informatics in Health & Social Care seeks to consolidate and add to the core knowledge within the disciplines of Health and Social Care Informatics. The Journal therefore welcomes scientific papers, case studies and literature reviews. Examples of novel approaches are particularly welcome. Articles might, for example, show how care data is collected and transformed into useful and usable information, how informatics research is translated into practice, how specific results can be generalised, or perhaps provide case studies that facilitate learning from experience.