Assessment of health technology acceptability for remote monitoring of patients with COVID-19: A measurement model for user perceptions of pulse oximeters.

Objective: This study aims to develop a measurement model for health technology acceptability using a theoretical framework and a range of validated instruments to measure user experience, acceptance, usability, health and digital health literacy. Methods: A cross-sectional evaluation study using a mixed-methods approach was conducted. An online survey was administered to patients who used a pulse oximeter in a virtual hospital setting during COVID-19. The model development was conducted in three steps: (1) exploratory factor analysis for conceptual model development, (2) measurement model confirmation through confirmatory factor analysis followed by structural equation modelling and (3) test of model external validity on four outcome measures. Finally, the different constructs of the developed model were used to compare two types of pulse oximeters by measuring the standardised scores. Results: Two hundred and two participants were included in the analysis, 37.6% were female and the average age was 53 years (SD:15.38). A four-construct model comprising Task Load, Affective Attitude, Self-Efficacy and Value of Use (0.636-0.857 factor loadings) with 12 items resulted from the exploratory factor analysis and yielded a good fit (RMSEA = .026). Health and digital health literacy did not affect the overall reliability of the model. Frustration, performance, trust and satisfaction were identified as outcomes of the model. No significant differences were observed in the acceptability constructs when comparing the two pulse oximeter devices. Conclusions: This article proposes a model for the measurement of the acceptability of health technologies used by patients in a remote care setting based on the use of a pulse oximeter in COVID-19 remote monitoring.

A community health-coaching referral program following discharge from treatment for chronic low back pain - a qualitative study of the patient's perspective.

BACKGROUND: Global policy and guidelines for low back pain (LBP) management promote physical activity and self-management yet adherence is poor and a decline in outcomes is common following discharge from treatment. Health coaching is effective at improving exercise adherence, self-efficacy, and social support in individuals with chronic conditions, and may be an acceptable, cost-effective way to support people in the community following discharge from treatment for LBP. AIM: This qualitative study aimed to understand which aspects of a community over-the-phone health-coaching program, were liked and disliked by patients as well as their perceived outcomes of the service after being discharged from LBP treatment. METHODS: A purposive sampling approach was used to recruit 12 participants with chronic LBP, from a large randomised controlled trial, who were randomly allocated to receive a health coaching program from the Get Healthy Service® in Australia. Semi-structured interviews were conducted, and a general inductive thematic analysis approach was taken. RESULTS: The main themes uncovered regarding the intervention included the positive and negative aspects of the health coaching service and the relationship between the participant and health coach. Specifically, the participants spoke of the importance of the health coach, the value of goal setting, the quality of the advice received, the benefits of feeling supported, the format of the coaching service, and LBP-specific knowledge. They also reported the health coach and the coaching relationship to be the primary factors influencing the program outcomes and the qualities of the coaching relationship they valued most were connection, communication, care, and competence. The sub-themes uncovered regarding the outcomes of the intervention included positive impacts (a greater capacity to cope, increased confidence, increased motivation and increased satisfaction) and negative impacts (receiving no personal benefit). CLINICAL IMPLICATIONS: In an environment where self-management and self-care are becoming increasingly important, understanding the patient's experience as part of a coaching program is likely to lead to improved quality of health coaching care, more tailored service delivery and potentially more effective and cost-effective community-based care for individuals with chronic LBP in the community after being discharged from treatment. TRIAL REGISTRATION: The GBTH trial was prospectively registered with the Australian New Zealand Clinical Trials Registry (ACTRN12620000889954) on 10/9/2020. Ethical approval was prospectively granted by the Western Sydney Local Health District Human Research and Ethics Committee (2020/ETH00115). Written informed consent was obtained from all participants. The relevant sponsor has reviewed the study protocol and consent form.

Understanding Workflow Nuances That Affect the Use of a Laboratory Test Ordering Support Tool.

The "Emergency Department Pathology Order Support Tool" (ED-POST) is an electronic laboratory test ordering decision support tool that aims to decrease variation in test ordering practices. As part of a larger project on the co-design, development, and evaluation of ED-POST, this study aimed to explore the workflow nuances that might affect the intended use of the digital decision support tool. Semi-structured, in-depth interviews were conducted with 15 ED clinicians involved in the laboratory test ordering process across the development and evaluation phases of ED-POST. Participants identified the expanded role of registered nurses in test ordering and the practice of ordering tests that are outside the ED's scope as contextual characteristics that can affect the use and perceived utility of the proposed ED-POST tool. Reconciling "work-as-imagined" with "work-as-done" in the design and development of electronic interventions is important in achieving interventions to improve the safe and effective use of pathology tests.

Evaluation and Optimisation of a Patient Portal Implementation: An Action Research Approach.

Patient portals can support care delivery and have demonstrated mixed impacts on patients, clinicians and health services. These variable impacts are primarily due to barriers to uptake and challenges associated with successfully implementing patient portals. As little is currently known about how implementation barriers can be addressed in practice, this project used an action research approach to evaluate and optimise the implementation of a patient portal in a real-world setting. Whilst the study is ongoing, the preliminary findings are reported in this paper, along with plans to use the findings to improve the portal in the next round of the action research cycle.

OPTimising MEDicine information handover after Discharge (OPTMED-D): protocol for development of a multifaceted intervention and stepped wedge cluster randomised controlled trial.

BACKGROUND: General practitioners (GP) and community pharmacists need information about hospital discharge patients' medicines to continue their management in the community. This necessitates effective communication, collaboration, and reliable information-sharing. However, such handover is inconsistent, and whilst digital systems are in place to transfer information at transitions of care, these systems are passive and clinicians are not prompted about patients' transitions. There are also gaps in communication between community pharmacists and GPs. These issues impact patient safety, leading to hospital readmissions and increased healthcare costs. METHODS: A three-phased, multi-method study design is planned to trial a multifaceted intervention to reduce 30-day hospital readmissions. Phase 1 is the co-design of the intervention with stakeholders and end-users; phase 2 is the development of the intervention; phase 3 is a stepped wedge cluster randomised controlled trial with 20 clusters (community pharmacies). Expected intervention components will be a hospital pharmacist navigator, primary care medication management review services, and a digital solution for information sharing. Phase 3 will recruit 10 patients per pharmacy cluster/month to achieve a sample size of 2200 patients powered to detect a 5% absolute reduction in unplanned readmissions from 10% in the control group to 5% in the intervention at 30 days. The randomisation and intervention will occur at the level of the patient's nominated community pharmacy. Primary analysis will be a comparison of 30-day medication-related hospital readmissions between intervention and control clusters using a mixed effects Poisson regression model with a random effect for cluster (pharmacy) and a fixed effect for each step to account for secular trends. TRIAL REGISTRATION: This trial is registered with the Australian New Zealand Clinical Trials Registry: ACTRN12624000480583p , registered 19 April 2024.

Prescription drug monitoring program in Australia: a qualitative study of stakeholders' experiences and perceptions of a state-wide implementation.

BACKGROUND: Prescription Drug Monitoring Programs (PDMPs) are increasingly implemented across the globe with aims of managing and mitigating risks relating to high-risk prescription medicines. There is limited research focused on identifying strategies or processes for large-scale PDMP implementation. This study aimed to identify strategies perceived as necessary for successful state-wide implementation of a PDMP by exploring the experiences and perceptions of stakeholders responsible for the implementation in New South Wales (NSW), Australia: to identify (1) the drivers of implementation; (2) perceived strategies that worked well; (3) barriers to implementation; and (4) the elements needed for long-term success of SafeScript NSW. METHODS: This study used a qualitative descriptive design. Theoretical frameworks used to design interview questions and guide thematic analysis were the non-adoption, abandonment, scale-up, spread, and sustainability (NASSS) framework and Quadruple Aim framework. Participants were stakeholders responsible for PDMP implementation in NSW. Recruitment and data collection were completed between March and April 2022. Semi-structured interviews were audio-recorded and transcribed. Two researchers independently reviewed transcripts, generated codes from the data, and mapped these to each NASSS domain. They came together multiple times during data analysis to review the codes and grouped them into higher level themes via a discussion and consensus process. Themes were then organised according to the four objectives of the study. RESULTS: Eight interviews were conducted and analysed after which thematic saturation was reached. All participants had a common understanding of the perceived benefits and drivers for PDMP implementation. Participants outlined ten key ingredients for perceived successful state-wide implementation. Strong and iterative engagement with a large number of stakeholder groups was viewed as critical, as was targeting user experience, ongoing monitoring and evaluation. These were facilitated by a phased roll-out strategy. Participants identified some barriers to implementation, particularly around poor usability and user experience of the tool. CONCLUSIONS: This is one of the first studies focused on strategies for what was perceived to be successful state-wide implementation of PDMP. Successful implementation requires significant time and resourcing, with the design and configuration of the technology being only one component of a multi-strategy process. Knowledge and insights gained from this study may be useful for other implementations of similar digital health tools in large-scale jurisdictions.

Longitudinal study of the manifestations and mechanisms of technology-related prescribing errors in pediatrics.

OBJECTIVES: To examine changes in technology-related errors (TREs), their manifestations and underlying mechanisms at 3 time points after the implementation of computerized provider order entry (CPOE) in an electronic health record; and evaluate the clinical decision support (CDS) available to mitigate the TREs at 5-years post-CPOE. MATERIALS AND METHODS: Prescribing errors (n = 1315) of moderate, major, or serious potential harm identified through review of 35 322 orders at 3 time points (immediately, 1-year, and 4-years post-CPOE) were assessed to identify TREs at a tertiary pediatric hospital. TREs were coded using the Technology-Related Error Mechanism classification. TRE rates, percentage of prescribing errors that were TREs, and mechanism rates were compared over time. Each TRE was tested in the CPOE 5-years post-implementation to assess the availability of CDS to mitigate the error. RESULTS: TREs accounted for 32.5% (n = 428) of prescribing errors; an adjusted rate of 1.49 TREs/100 orders (95% confidence interval [CI]: 1.06, 1.92). At 1-year post-CPOE, the rate of TREs was 40% lower than immediately post (incident rate ratio [IRR]: 0.60; 95% CI: 0.41, 0.89). However, at 4-years post, the TRE rate was not significantly different to baseline (IRR: 0.80; 95% CI: 0.59, 1.08). "New workflows required by the CPOE" was the most frequent TRE mechanism at all time points. CDS was available to mitigate 32.7% of TREs. DISCUSSION: In a pediatric setting, TREs persisted 4-years post-CPOE with no difference in the rate compared to immediately post-CPOE. CONCLUSION: Greater attention is required to address TREs to enhance the safety benefits of systems.

A Model for Context-Sensitive Digital Integrators.

The realization of benefits from health information technology (HIT) implementation takes place in the long tail of implementation that must integrate technology, work practices and contextual factors. While formal health informatics education programs exist, they tend to be focused at the strategic management or specialized implementation level. HIT support at the local level often falls to clinical care staff that have little or no formal training in HIT implementation. This paper will expand on the term context-sensitive digital integrators (CSDI) as a role that could support local implementation. We discuss the CSDI role, including terminology, competencies and the role context sensitivity plays in implementation, and how CSDIs could be better supported and trained in different contexts.

A Real-Time Dashboard Approach to Decision Support: An Exercise in Co-Design.

Laboratory tests play an integral role in the delivery of quality health care. However, evidence indicates variations in diagnostic testing, which can lead to patient safety risks. Electronic decision support systems are often identified as key to reducing diagnostic error. However, such tools are often introduced into a clinical setting with little understanding of clinician workflow and how tools are likely to impact this. This study reports a qualitative co-design methodology and results from the first phase in the design and development of an analytics-driven, dashboard approach to supporting clinician test ordering in the Emergency Department.

Using personal health records for medication continuity during transition of care: An observational study.

Background: National Personal Health Records (PHRs) have been proposed to improve the transfer of medication-related information during transition of care. Objective: To evaluate the concordance between the medications captured in the Australian national PHR, My Health Record (MyHR), and the pharmacist obtained best possible medication history (BPMH) for patients upon hospital admission. Method: This prospective observational study used a convenience sample of hospital patients. For newly admitted patients, the investigating pharmacist obtained a BPMH and then compared it to the medication list captured in MyHR. Upon comparison, the medications were categorised into either complete match, partial match or mismatch. Medications with a complete or partial match were grouped together. Medications with deviations were then assessed for risk based on their potential consequence, and reported descriptively. A multivariable logistic regression was conducted to assess the factors associated with a drug being mismatched. Results: A total of 82 patients were recruited, with a cumulative total of 1,207 medications documented. Of the 1,207 medications, 714 (59.2%) medications were documented as a complete/partial match. The remaining 493 (40.8%) medications were mismatched. Of the 493 mismatched medications, 442 (89.7%) were deemed low-risk deviations and 51 (10.3%) were deemed high-risk. A medication was more likely to be mismatched, rather than completely/partially matched, if it was a regular non-prescription medication, or "when-required" prescription medication, or "when required" non-prescription medication, or if it was administered parenterally. Conclusion: National PHRs may be a secondary source to either confirm a patient's medication history or be used as a starting point for a BPMH.

Strategies used to detect and mitigate system-related errors over time: A qualitative study in an Australian health district.

BACKGROUND: Electronic medical record (EMR) systems provide timely access to clinical information and have been shown to improve medication safety. However, EMRs can also create opportunities for error, including system-related errors or errors that were unlikely or not possible with the use of paper medication charts. This study aimed to determine the detection and mitigation strategies adopted by a health district in Australia to target system-related errors and to explore stakeholder views on strategies needed to curb future system-related errors from emerging. METHODS: A qualitative descriptive study design was used comprising semi-structured interviews. Data were collected from three hospitals within a health district in Sydney, Australia, between September 2020 and May 2021. Interviews were conducted with EMR users and other key stakeholders (e.g. clinical informatics team members). Participants were asked to reflect on how system-related errors changed over time, and to describe approaches taken by their organisation to detect and mitigate these errors. Thematic analysis was conducted iteratively using a general inductive approach, where codes were assigned as themes emerged from the data. RESULTS: Interviews were conducted with 25 stakeholders. Participants reported that most system-related errors were detected by front-line clinicians. Following error detection, clinicians either reported system-related errors directly to the clinical informatics team or submitted reports to the incident information management system. System-related errors were also reported to be detected via reports run within the EMR, or during organisational processes such as incident investigations or system enhancement projects. EMR redesign was the main approach described by participants for mitigating system-related errors, however other strategies, like regular user education and minimising the use of hybrid systems, were also reported. CONCLUSIONS: Initial detection of system-related errors relies heavily on front-line clinicians, however other organisational strategies that are proactive and layered can improve the systemic detection, investigation, and management of errors. Together with EMR design changes, complementary error mitigation strategies, including targeted staff education, can support safe EMR use and development.

Exploring research and education opportunities in digital health for pharmacy, medicine and other health disciplines: Insights from a multinational workshop.

Digital healthcare has rapidly evolved during and in the post-COVID pandemic era, expanding the roles and responsibilities of community pharmacists. Services like telepharmacy, e-prescriptions, remote medication therapy management, and digital monitoring of chronic conditions, have evolved into everyday routine pharmacy practices. Pharmacists are at the forefront and the most accessible healthcare professionals for patients and are increasingly pivotal in providing comprehensive patient care, including digital patient care services. To ensure that future generations of pharmacists are digitally competent, it is crucial that digital health education is provided to pharmacy students. Furthermore, fostering high-quality multidisciplinary research, particularly in collaboration with medicine and other health disciplines, is essential for advancing the digital health skills of the future pharmacy workforce. Despite the growing use of digital health technologies, there are significant between-country differences in digital health education, the clinical settings in which digital health technologies are used, and their implementation in day-to-day practice. This commentary summarizes key insights from the International Digital Health Workshop held at the University of Sydney in November 2023. To help ensure pharmacists are included as participants in future digital health research, recent advances in digital health education and interprofessional research projects across three universities from far-off world regions were presented. Participants discussed a possible collaborative, interprofessional, and international research project on chronic disease prevention using digital health technologies. The need for interdisciplinary digital health curricula was highlighted in the workshop discussions, specifically tailored to address the knowledge requirements of pharmacists and other healthcare professionals.

Drug-Drug Interactions and Actual Harm to Hospitalized Patients: A Multicentre Study Examining the Prevalence Pre- and Post-Electronic Medication System Implementation.

INTRODUCTION: Drug-drug interactions (DDIs) have potential to cause patient harm, including lowering therapeutic efficacy. This study aimed to (i) determine the prevalence of potential DDIs (pDDIs); clinically relevant DDIs (cDDIs), that is, DDIs that could lead to patient harm, taking into account a patient's individual clinical profile, drug effects and severity of potential harmful outcome; and subsequent actual harm among hospitalized patients and (ii) examine the impact of transitioning from paper-based medication charts to electronic medication management (eMM) on DDIs and patient harms. METHODS: This was a secondary analysis of the control arm of a controlled pre-post study. Patients were randomly selected from three Australian hospitals. Retrospective chart review was conducted before and after the implementation of an eMM system, without accompanying clinical decision support alerts for DDIs. Harm was assessed by an expert panel. RESULTS: Of 1186 patient admissions, 70.1% (n = 831) experienced a pDDI, 42.6% (n = 505) a cDDI and 0.9% (n = 11) an actual harm in hospital. Of 15,860 pDDIs identified, 27.0% (n = 4285) were classified as cDDIs. The median number of pDDIs and cDDIs per 10 drugs were 6 [interquartile range (IQR) 2-13] and 0 (IQR 0-2), respectively. In cases where a cDDI was identified, both drugs were 44% less likely to be co-administered following eMM (adjusted odds ratio 0.56, 95% confidence interval 0.46-0.73). CONCLUSION: Although most patients experienced a pDDI during their hospital stay, less than one-third of pDDIs were clinically relevant. The low prevalence of harm identified raises questions about the value of incorporating DDI decision support into systems given the potential negative impacts of DDI alerts.

An Analysis of Incident Reports Related to Electronic Medication Management: How They Change Over Time.

OBJECTIVE: Electronic medication management (EMM) systems have been shown to introduce new patient safety risks that were not possible, or unlikely to occur, with the use of paper charts. Our aim was to examine the factors that contribute to EMM-related incidents and how these incidents change over time with ongoing EMM use. METHODS: Incidents reported at 3 hospitals between January 1, 2010, and December 31, 2019, were extracted using a keyword search and then screened to identify EMM-related reports. Data contained in EMM-related incident reports were then classified as unsafe acts made by users and the latent conditions contributing to each incident. RESULTS: In our sample, 444 incident reports were determined to be EMM related. Commission errors were the most frequent unsafe act reported by users (n = 298), whereas workarounds were reported in only 13 reports. User latent conditions (n = 207) were described in the highest number of incident reports, followed by conditions related to the organization (n = 200) and EMM design (n = 184). Over time, user unfamiliarity with the system remained a key contributor to reported incidents. Although fewer articles to electronic transfer errors were reported over time, incident reports related to the transfer of information between different computerized systems increased as hospitals adopted more clinical information systems. CONCLUSIONS: Electronic medication management-related incidents continue to occur years after EMM implementation and are driven by design, user, and organizational conditions. Although factors contribute to reported incidents in varying degrees over time, some factors are persistent and highlight the importance of continuously improving the EMM system and its use.

Developing a process to measure actual harm from medication errors in paediatric inpatients: From design to implementation.

AIMS: The potential harm associated with medication errors is widely reported, but data on actual harm are limited. When actual harm has been measured, assessment processes are often poorly described, limiting their ability to be reproduced by other studies. Our aim was to design and implement a new process to assess actual harm resulting from medication errors in paediatric inpatient care. METHODS: Prescribing errors were identified through retrospective medical record reviews (n = 26 369 orders) and medication administration errors through direct observation (n = 5137 administrations) in a tertiary paediatric hospital. All errors were assigned potential harm severity ratings on a 5-point scale. Multidisciplinary panels reviewed case studies for patients assigned the highest three potential severity ratings and determined the following: actual harm occurrence and severity level, plausibility of a link between the error(s) and identified harm(s) and a confidence rating if no harm had occurred. RESULTS: Multidisciplinary harm panels (n = 28) reviewed 566 case studies (173 prescribing related and 393 administration related) and found evidence of actual harm in 89 (prescribing = 22, administration = 67). Eight cases of serious harm cases were found (prescribing = 1, administration = 7) and no cases of severe harm. The panels were very confident in 65% of cases (n = 302) where no harm was found. Potential and actual harm ratings varied. CONCLUSIONS: This harm assessment process provides a systematic method for determining actual harm from medication errors. The multidisciplinary nature of the panels was critical in evaluating specific clinical, therapeutic and contextual considerations including care delivery pathways, therapeutic dose ranges and drug-drug and drug-disease interactions.

Qualitative study of challenges with recruitment of hospitals into a cluster controlled trial of clinical decision support in Australia.

OBJECTIVE: To identify barriers to hospital participation in controlled cluster trials of clinical decision support (CDS) and potential strategies for addressing barriers. DESIGN: Qualitative descriptive design comprising semistructured interviews. SETTING: Five hospitals in New South Wales and one hospital in Queensland, Australia. PARTICIPANTS: Senior hospital staff, including department directors, chief information officers and those working in health informatics teams. RESULTS: 20 senior hospital staff took part. Barriers to hospital-level recruitment primarily related to perceptions of risk associated with not implementing CDS as a control site. Perceived risks included reductions in patient safety, reputational risk and increased likelihood that benefits would not be achieved following electronic medical record (EMR) implementation without CDS alerts in place. Senior staff recommended clear communication of trial information to all relevant stakeholders as a key strategy for boosting hospital-level participation in trials. CONCLUSION: Hospital participation in controlled cluster trials of CDS is hindered by perceptions that adopting an EMR without CDS is risky for both patients and organisations. The improvements in safety expected to follow CDS implementation makes it challenging and counterintuitive for hospitals to implement EMR without incorporating CDS alerts for the purposes of a research trial. To counteract these barriers, clear communication regarding the evidence base and rationale for a controlled trial is needed.

How Are Clinicians' Acceptance and Use of Clinical Decision Support Systems Evaluated Over Time? A Systematic Review.

Clinical decision support systems (CDSS) can enhance the safety and quality of patient care, but their benefits are often hampered by low acceptance and use by clinicians in practice. Existing research has explored clinicians' experiences with CDSS in a static nature, with limited consideration of how user needs may change over time. This review aimed to identify the methods used to capture clinicians' acceptance and use of CDSS in hospital settings at different time points following implementation and highlight gaps to inform future work. Seventy-six studies met inclusion criteria. Qualitative methods were rarely used during the early implementation phases, particularly in the first 2 months following implementation. Further work is needed to understand clinicians' experiences immediately following implementation of CDSS and how these insights can be used to support use over time.

Fighting the Same Battles on a New Battleground: Embedding Technologies in a Virtual Care Environment.

The pandemic necessitated the rapid design, development and implementation of technologies to allow remote monitoring of COVID-19 patients at home. This study aimed to explore the environmental barriers and facilitators to the successful development and implementation of virtual care technologies in this fast-paced context. We interviewed eight staff at a virtual hospital in Australia. We found key facilitators to be a learning organizational culture and strong leadership support. Barriers included interoperability issues, legislative constraints and unrealistic clinician expectations. Also, we found that a combination of hot-desking and the lack of single sign on in the virtual care environment, was reported to create additional work for staff. Overall, despite this unique context, our findings are consistent with prior work examining design and implementation of healthcare technologies. The fast pace and high-pressure environment appeared to magnify previously reported barriers, but also cultivate and foster a learning culture.

A tale of 2 digital hospitals: A qualitative study of antimicrobial stewardship teams.

AIMS: We aim to examine and understand the work processes of antimicrobial stewardship (AMS) teams across 2 hospitals that use the same digital intervention, and to identify the barriers and enablers to effective AMS in each setting. METHODS: Employing a contextual inquiry approach informed by the Systems Engineering Initiative for Patient Safety (SEIPS) model, observations and semistructured interviews were conducted with AMS team members (n = 15) in 2 Australian hospitals. Qualitative data analysis was conducted, mapping themes to the SEIPS framework. RESULTS: Both hospitals utilized similar systems, however, they displayed variations in AMS processes, particularly in postprescription review, interdepartmental AMS meetings and the utilization of digital tools. An antimicrobial dashboard was available at both hospitals but was utilized more at the hospital where the AMS team members were involved in the dashboard's development, and there were user champions. At the hospital where the dashboard was utilized less, participants were unaware of key features, and interoperability issues were observed. Establishing strong relationships between the AMS team and prescribers emerged as key to effective AMS at both hospitals. However, organizational and cultural differences were found, with 1 hospital reporting insufficient support from executive leadership, increased prescriber autonomy and resource constraints. CONCLUSION: Organizational and cultural elements, such as executive support, resource allocation and interdepartmental relationships, played a crucial role in achieving AMS goals. System interoperability and user champions further promoted the adoption of digital tools, potentially improving AMS outcomes through increased user engagement and acceptance.

The Impact of Personal Protective Equipment on Cognitive and Emotional Aspects of Health Care Work.

OBJECTIVE: Personal protective equipment (PPE) is critical to the safety of health professionals and vital to clinical practice. However, there is little known about the cognitive and emotional impact of PPE on health professionals' performance, comfort, and well-being. METHODS: A mixed-method, cross-sectional, observational study was adopted. An online survey consisting of 5-point Likert scale questions and free-text comments canvassed the opinions of patient-facing health professionals. RESULTS: An overall negative impact of PPE on health professionals' ability to carry out work was found from 185 responses from medicine, nursing, and allied health disciplines, including increased fatigue, poor communication, and feeling uncomfortable. CONCLUSIONS: There are significant negative impacts of PPE on health professionals' ability to carry out work, impairing communication, task efficiency, and comfort. Personal protective equipment is an essential infection control practice requiring further research, design, and testing to overcome challenges.