The development and pilot of a novel mobile application to assess clinician perception of workload and work environment

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS

ACS Applied Bio Materials Pub Date : 2024-04-18 DOI:10.1002/jhm.13366

Marisha Burden MD, MBA, Lauren McBeth BA, Angela Keniston PhD, MSPH

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引用次数: 0

Abstract

Background

Traditional measures of workload such as wRVUs may not be adequate to understand the impact of workload on key outcomes.

Objective

The objective of this study was to develop a mobile application to assess, in near real time, clinicians' perception of workload and work environment.

Designs, Settings and Participants

We developed the GrittyWork™ application (GW App) using the Chokshi and Mann process model for user-centered digital development. Study occured at a single academic medical center with hospitalist clinicians.

Main Outcome Measures and Measures

Measures included the System Usability Scale (SUS), use measures from GW App, electronic health record (EHR) event log data and note counts, and qualitative interviews.

Results

From October 28, 2022 to November 3, 2022, six hospitalist clinicians provided feedback on the early prototype of the GW App, and from February 28, 2023 to June 8, 2023, 30 hospitalist clinicians participated in the pilot while on clinical service. All 30 clinicians (100%) participated in the pilot submitting data for a total of 122 shifts. Participants reported working 10 ± 1 h per day (mean ± SD) and were responsible for an average of 11 ± 3 patients per day. The postpilot evaluation of the GW App showed a SUS score of 86 ± 11 and a participant preference toward mobile application-based surveys (73% of participants). Regarding workload measures, EHR event log data and notes data correlated with physician-reported workloads. Applying user-centered design techniques, we successfully developed a mobile application with high usability. These data can be paired with EHR event log data and outcomes to provide insights into the impact of workloads and work environments on outcomes.

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开发和试用新型移动应用程序，评估临床医生对工作量和工作环境的感知

背景传统的工作量测量方法（如 wRVUs）可能不足以了解工作量对关键结果的影响。目标本研究的目标是开发一款移动应用程序，以近乎实时的方式评估临床医生对工作量和工作环境的感知。设计、设置和参与者我们采用 Chokshi 和 Mann 流程模型开发了 GrittyWork™ 应用程序（GW App），以用户为中心进行数字开发。结果2022年10月28日至2022年11月3日，6名医院临床医生对GW应用的早期原型提供了反馈意见；2023年2月28日至2023年6月8日，30名医院临床医生在临床服务期间参与了试点。所有 30 名临床医生（100%）都参与了试点工作，共提交了 122 个班次的数据。参与者表示每天工作 10 ± 1 小时（平均 ± SD），平均每天负责 11 ± 3 名患者。对 GW 应用程序的试点后评估显示，SUS 得分为 86 ± 11，参与者偏好基于移动应用程序的调查（73% 的参与者）。在工作量测量方面，电子病历事件日志数据和笔记数据与医生报告的工作量相关。应用以用户为中心的设计技术，我们成功开发出了一款可用性极高的移动应用程序。这些数据可与电子病历事件日志数据和结果配对使用，以便深入了解工作量和工作环境对结果的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464