Examining the Mental Workload Associated With Digital Health Technologies in Health Care: Protocol for a Systematic Review Focusing on Assessment Methods (Preprint)

Abstract

BACKGROUND The workload in health care is high; physicians and nurses report high stress levels due to a demanding environment where they often have to perform multiple tasks simultaneously. As a result, mental health issues among health care professionals (HCPs) are on the rise and the prevalence of errors in their daily tasks could increase. Processes of demographic change are partly responsible for even higher stress levels among HCPs. The digitization of patient care is intended to counteract these processes. However, it remains unclear whether these health information systems (HIS) and digital health technologies (DHT) support the HCPs and relieve stress, or if they represent a further burden. The mental construct that describes this burden of technologies is mental workload (MWL). Work in the clinic can be viewed as working in safety-critical environments. Particularly in this sensitive setting, the measurement methods of MWL are relevant, mainly due to their strongly differing levels of intrusiveness and sensitivity. The method of eye tracking could be a useful way to measure MWL directly in the field. OBJECTIVE The systematic review aims to address the following questions: (1) In which manner do DHT contribute to the overall MWL of HCPs? (2) Can we observe a direct or indirect effect of DHT on MWL? (3) Which aspects or factors of DHT contribute to an increase in MWL? (4) Which methods/assessments are applied to measure MWL related to HIS/DHT? (5) What role does eye tracking/pupillometry play in the context of measuring MWL? (6) Which outcomes are being assessed via eye tracking? METHODS Following the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) statement, we will conduct a systematic review. Based on the research questions, we define keywords that we then combine in search terms. The review follows the following steps: literature search, article selection, data extraction, risk of bias assessment, data analysis, and data synthesis. RESULTS We expect results as well as a finalization of the review in the summer of 2021. CONCLUSIONS This review will evaluate the impact of DHT on the MWL of HCPs. In addition, assessment methods of MWL in the context of digital technologies will be systematically analyzed. CLINICALTRIAL PROSPERO (International Prospective Register of Systematic Reviews) CRD42021233271; https://www.crd.york.ac.uk/PROSPERO/display_record.php?ID=CRD42021233271 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/29126

Authors 4

1. Lisanne Kremer corresponding

   Hochschule Niederrhein

   Affiliation as printed

   Faculty of Health Care, Niederrhein University of Applied Sciences, Krefeld, Germany

2. Myriam Lipprandt Aachen Institute of Medical Informatics

   RWTH Aachen University

   Affiliation as printed

   Institute of Medical Informatics, RWTH Aachen University, Aachen, Germany

3. Rainer Röhrig Aachen Institute of Medical Informatics

   RWTH Aachen University

   Affiliation as printed

   Institute of Medical Informatics, RWTH Aachen University, Aachen, Germany

4. Bernhard Breil

   Hochschule Niederrhein

   Affiliation as printed

   Faculty of Health Care, Niederrhein University of Applied Sciences, Krefeld, Germany