Macroergonomics in Healthcare Quality and Patient Safety

Human Factors Contributing to Infection Prevention in Outpatient Hemodialysis Centers: A Mixed Methods Study

RATIONALE & OBJECTIVE

Infection prevention efforts in dialysis centers can avert patient morbidity and mortality but are challenging to implement. The objective of this study was to better understand how the design of the work system might contribute to infection prevention in outpatient dialysis centers.

STUDY DESIGN

Mixed methods, observational study.

SETTING & PARTICIPANTS

Six dialysis facilities across the United States visited by a multidisciplinary team over 8 months.

ANALYTICAL APPROACH

At each facility, structured macroergonomic observations were undertaken by a multidisciplinary team using the SEIPS 1.0 model. Ethnographic observations were collected about staff encounters with dialysis patients including the content of staff conversations. Selective and axial coding were used for qualitative analysis and quantitative data were reported using descriptive statistics.

RESULTS

Organizational and sociotechnical barriers and facilitators to infection prevention in the outpatient dialysis setting were identified. Features related to human performance, (eg, alarms, interruptions, and task stacking), work system design (eg, physical space, scheduling, leadership, and culture), and extrinsic factors (eg, patient-related characteristics) were identified.

LIMITATIONS

This was an exploratory evaluation with a small sample size.

CONCLUSIONS

This study used a systematic macroergonomic approach in multiple outpatient dialysis facilities to identify infection prevention barriers and facilitators related to human performance. Several features common across facilities were identified that may influence infection prevention in outpatient care and warrant further exploration.

Interactions in Sociotechnical Systems: Achieving Balance in the Use of an Augmented Reality Mobile Application

OBJECTIVE

We explore relationships between barriers and facilitators experienced by users to understand dynamic interactions in sociotechnical systems and improve a mobile phone-based augmented reality application that teaches users about the contents of a standardized pediatric code cart.

BACKGROUND

Understanding interactions between performance obstacles and facilitators can provide guidance to (re)designing sociotechnical systems to improve system outcomes. Clinicians should know about contents and organization of code carts, and an augmented reality mobile application may improve that knowledge but changes the sociotechnical system in which they learn. Prior work identified barriers and facilitators impacting the use of this application-participants described dimensions together, indicating interactions that are explored in the current study.

METHOD

We conducted four focus groups (number of clinicians = 18) and two interviews with clinicians who used the application. We performed a secondary analysis of focus group data exploring interactions between previously identified barriers and facilitators to application use. We used epistemic network analysis to visualize these interactions.

RESULTS

Work system barriers interacted with barriers and facilitators interacted with facilitators to amplify cumulative negative or positive impact, respectively. Facilitators balanced barriers, mitigating negative impact. Facilitators also exacerbated barriers, worsening negative impact.

CONCLUSION

Barriers and facilitators interact and can amplify, balance, and exacerbate each other-notably, positives are not always positive. To obtain desired outcomes, interactions must be further considered in sociotechnical system design, for example, the potential improvements to the application we identified.

Human Factors Engineering for the Pediatric Hospitalist

As pediatrics hospitalists, we care for a diverse population of hospitalized children with increasing acuity and complexity in large, multidisciplinary medical teams. In this Method/ology paper, we summarize how human factors engineering (HFE) can provide a framework and tools to help us understand and improve our complex care processes and resulting outcomes. First, we define and discuss the 3 domains of HFE (ie, physical, cognitive, and organizational) and offer examples of HFE's application to pediatric hospital medicine. Next, we highlight an HFE-based framework, the Systems Engineering for Patient Safety model, which conceptualizes how our work system shapes health care processes and outcomes. We provide tools for leveraging this model to better understand the context in which our work is done, which, consequently, informs how we design our systems and processes to improve the quality and safety of care. Finally, we outline the basics of human-centered design and highlight a case study of a project completed in a pediatric hospital setting focused on making rounds more family-centered. In addition, we provide resources for those interested in learning more about HFE.

"There Is Method to This Madness" A Qualitative Investigation of Home Medication Management by Older Adults

OBJECTIVES

This paper explores (1) the systems and processes older adults use to manage medications at home, and (2) the well-being goals of personal interest that motivate them.

METHODS

Qualitative interviews were conducted in the homes of 12 older adults in a small city in the Midwest United States. Interviews were analyzed using inductive template analysis.

RESULTS

The average age of older adults in this study was 74.2 years (SD = 10.5), 66.7% were women. The most prominent home medication management tools used were pill boxes, containers and vials, and medication lists. Routines were often aligned with activities of daily living such as teeth brushing and eating. Their medication management work occurred in contexts of other household members and budget constraints. Routines and practices were sometimes idiosyncratic adaptations and supported goals of maintaining control and decreasing vulnerability.

CONCLUSION

In developing routines for home medication management, older adults developed systems and deliberate processes to make sense of their medication experiences in the context of their home environment and based on available resources.

Factors Affecting Patient Adherence to Inhalation Therapy: An Application of SEIPS Model 2.0

PURPOSE

This study aims to explore factors that affect patient adherence to inhalation therapy by applying a patient-centered approach.

PATIENTS AND METHODS

We conducted a qualitative study to identify the factors that influence adherent behaviors among asthma/COPD patients. 35 semi-structured interviews with patients, and 15 semi-structured interviews with healthcare providers (HCPs) who manage asthma/COPD patients were conducted. The SEIPS 2.0 model was applied as a conceptual framework for guiding the interview content and analysis of the interview data.

RESULTS

Based on the findings of this study, a conceptual framework of patient adherence in asthma/COPD during inhalation therapy was constructed including five themes: person, task, tool, physical environment, and culture and society. Person-related factors include patient ability and emotional experience. Task-related factors refer to task type and frequency and flexibility. Tool-related factors are the type of inhalers and usability of inhalers. Physical environment-related factors include home environment and COVID-19 situation. Culture and social related factors consist of two aspects: cultural beliefs and social stigma.

CONCLUSION

The findings of the study identified 10 influential factors that impact on patient adherence to inhalation therapy. A SEIPS-based conceptual model was constructed based on the responses of patients and HCPs to explore the experiences of patients engaging in inhalation therapy and interacting with inhalation devices. In particular, new insight about factors of emotional experience, physical environment and traditional cultural beliefs were found crucial for patients with Asthma/COPD to conduct patients' adherent behaviors.

Registered Nurses' and Medical Doctors' Experiences of Patient Safety in Health Information Exchange During Interorganizational Care Transitions: A Qualitative Review

OBJECTIVE

This systematic review aimed to identify, critically appraise, and synthesize the best available literature on registered nurses' and medical doctors' experiences of patient safety in health information exchange (HIE) during interorganizational care transitions.

METHODS

The review was conducted according to the JBI methodology for systematic reviews of qualitative evidence. A total of 5 multidisciplinary databases were searched from January 2010 to September 2020 to identify qualitative or mixed methods studies. The qualitative findings were pooled using JBI SUMARI with the meta-aggregation approach.

RESULTS

The final review included 6 original studies. The 53 distinct findings were aggregated into 9 categories, which were further merged into 3 synthesized findings: (1) HIE efficiency and accuracy support patient safety during interorganizational care transitions; (2) inaccuracies in content and structure, along with poor HIE usability, jeopardize patient safety during interorganizational care transitions; and (3) health care professionals' (HCP) actions in HIE are associated with patient safety during interorganizational care transitions.

CONCLUSIONS

The results of this review identified several advantages of HIE, namely, improvements in patient safety based on reduced human error. Nevertheless, a lack of usability and functionality can amplify the effects of human error and increase the risk of adverse events. In addition, HCPs' individual actions in HIE were found to influence patient safety. Hence, the cognitive and sociotechnical perspectives of work related to HIE should be studied. In addition, HCPs' experiences of each stage of HIE deployment should be clarified to ensure a high standard of patient safety. Registration: PROSPERO CRD42020220631, registered on November 13, 2020.

Human factors/ergonomics work system analysis of patient work: state of the science and future directions

PURPOSE

To demonstrate the use and value of the Human Factors/Ergonomics-based Systems Engineering Initiative for Patient Safety (SEIPS) family of work system models for studying and improving patient work.

DATA SOURCES

We conducted a review of the published empirical literature applying the SEIPS family of work system models for patient work.

STUDY SELECTION

Included studies had to apply one of the SEIPS family of work system models to study patient work; be published in a peer-reviewed journal in English and include analysis of data. We identified 16 articles that met our inclusion criteria.

DATA EXTRACTION

For each study, we extracted settings and situations in which models were applied; research design; study methods; model(s) used; type and number of study participants; study objective(s); whether the study included an intervention; specific aspects of the model used; knowledge generated about patient work and benefits of using the models.

RESULTS OF DATA SYNTHESIS

Our analysis revealed that a majority of studies were conducted in the United States, used qualitative or mixed methods and employed a variety of data collection techniques to study adult patient populations with chronic illness and their informal caregivers and healthcare providers performing patient work in the home and clinical setting. The studies resulted in a variety of useful products, demonstrating several benefits of using the models.

CONCLUSION

Our review has demonstrated the value of using the SEIPS family of work systems models to study and improve patient and family contributions to health-related work.

Risk factors associated with medication ordering errors

OBJECTIVE

We utilized a computerized order entry system-integrated function referred to as "void" to identify erroneous orders (ie, a "void" order). Using voided orders, we aimed to (1) identify the nature and characteristics of medication ordering errors, (2) investigate the risk factors associated with medication ordering errors, and (3) explore potential strategies to mitigate these risk factors.

MATERIALS AND METHODS

We collected data on voided orders using clinician interviews and surveys within 24 hours of the voided order and using chart reviews. Interviews were informed by the human factors-based SEIPS (Systems Engineering Initiative for Patient Safety) model to characterize the work systems-based risk factors contributing to ordering errors; chart reviews were used to establish whether a voided order was a true medication ordering error and ascertain its impact on patient safety.

RESULTS

During the 16-month study period (August 25, 2017, to December 31, 2018), 1074 medication orders were voided; 842 voided orders were true medication errors (positive predictive value = 78.3 ± 1.2%). A total of 22% (n = 190) of the medication ordering errors reached the patient, with at least a single administration, without causing patient harm. Interviews were conducted on 355 voided orders (33% response). Errors were not uniquely associated with a single risk factor, but the causal contributors of medication ordering errors were multifactorial, arising from a combination of technological-, cognitive-, environmental-, social-, and organizational-level factors.

CONCLUSIONS

The void function offers a practical, standardized method to create a rich database of medication ordering errors. We highlight implications for utilizing the void function for future research, practice and learning opportunities.

Conceptual considerations for using EHR-based activity logs to measure clinician burnout and its effects

Electronic health records (EHR) use is often considered a significant contributor to clinician burnout. Informatics researchers often measure clinical workload using EHR-derived audit logs and use it for quantifying the contribution of EHR use to clinician burnout. However, translating clinician workload measured using EHR-based audit logs into a meaningful burnout metric requires an alignment with the conceptual and theoretical principles of burnout. In this perspective, we describe a systems-oriented conceptual framework to achieve such an alignment and describe the pragmatic realization of this conceptual framework using 3 key dimensions: standardizing the measurement of EHR-based clinical work activities, implementing complementary measurements, and using appropriate instruments to assess burnout and its downstream outcomes. We discuss how careful considerations of such dimensions can help in augmenting EHR-based audit logs to measure factors that contribute to burnout and for meaningfully assessing downstream patient safety outcomes.

Barriers in communicating medication changes at hospital discharge: Informing CancelRx design requirements

Objectives

This operational study aims to investigate the barriers in communicating medication changes at hospital discharge, and to inform design requirements of the CancelRx functionality to better support the communication.

Methods

We conducted seven semi-structured interviews with inpatient prescribers at an urban academic medical center. The interview protocol was framed from a human factors perspective, specifically the work system design approach. We took notes of the interviews and identified the initial themes of system barriers that may impact patient safety.

Results

Medication changes need to be communicated to multiple stakeholders. We identified two initial themes of the system barriers: the lack of an information flow that connects all the involved stakeholders, and the difficulties to communicate key pieces of information. We identified three key pieces of information that are difficult to communicate: the discontinuation reasons, the notification urgency, and the duration of changes.

Conclusions

While the CancelRx functionality can facilitate the communication (e.g. prescribers no longer need to call pharmacists when a medication is discontinued), enhancements are needed to address the system barriers. We proposed enhanced design requirements of the CancelRx functionality, e.g., to allow users to specify a reason for a medication discontinuation and transmit the reasons to other stakeholders, to indicate the urgency of notification, to specify the duration of a change, and to receive system status feedback .

Quantifying the impact of patient boarding on emergency department length of stay: All admitted patients are negatively affected by boarding

BACKGROUND

Patients boarding in the emergency department (ED) as a result of delays in bed placement are associated with increased morbidity and mortality. Prior literature on ED boarding does not explore the impact of boarding on patients admitted to the hospital from the ED. The objective of this study was to evaluate the impact of patient boarding on ED length of stay for all patients admitted to the hospital.

METHODS

This was an institutional review board-approved, retrospective review of all patients from January 1, 2015, through June 30, 2019, presenting to 2 large EDs in a single health system in Pennsylvania. Quantile regression models were created to estimate the impact of patients boarding in the ED on length of stay for all ED patients admitted to the hospital.

RESULTS

A total number of 466,449 ED encounters were analyzed across two EDs. At one ED, for every patient boarded, the median ED length of stay for all admitted patients increased by 14.0 minutes (P < 0.001). At the second ED, for every patient boarded in the ED, the median ED length of stay increased by 12.4 minutes (P < 0.001).

CONCLUSION

ED boarding impacts length of stay for all patients admitted through the ED and not just those admitted patients who are boarded. This study provides an estimate for the increased ED length of stay experienced by all patients admitted to the hospital as a function of patient boarding.

Remembering Ben-Tzion Karsh's scholarship, impact, and legacy

Dr. Ben-Tzion (Bentzi) Karsh was a mentor, collaborator, colleague, and friend who profoundly impacted the fields of human factors and ergonomics (HFE), medical informatics, patient safety, and primary care, among others. In this paper we honor his contributions by reflecting on his scholarship, impact, and legacy in three ways: first, through an updated simplified bibliometric analysis in 2020, highlighting the breadth of his scholarly impact from the perspective of the number and types of communities and collaborators with which and whom he engaged; second, through targeted reflections on the history and impact of Dr. Karsh's most cited works, commenting on the particular ways they impacted our academic community; and lastly, through quotes from collaborators and mentees, illustrating Dr. Karsh's long-lasting impact on his contemporaries and students.

Perceptual Gaps Between Clinicians and Technologists on Health Information Technology-Related Errors in Hospitals: Observational Study

BACKGROUND

Health information technology (HIT) has been widely adopted in hospital settings, contributing to improved patient safety. However, many types of medical errors attributable to information technology (IT) have negatively impacted patient safety. The continued occurrence of many errors is a reminder that HIT software testing and validation is not adequate in ensuring errorless software functioning within the health care organization.

OBJECTIVE

This pilot study aims to classify technology-related medical errors in a hospital setting using an expanded version of the sociotechnical framework to understand the significant differences in the perceptions of clinical and technology stakeholders regarding the potential causes of these errors. The paper also provides some recommendations to prevent future errors.

METHODS

Medical errors were collected from previous studies identified in leading health databases. From the main list, we selected errors that occurred in hospital settings. Semistructured interviews with 5 medical and 6 IT professionals were conducted to map the events on different dimensions of the expanded sociotechnical framework.

RESULTS

Of the 2319 identified publications, 36 were included in the review. Of the 67 errors collected, 12 occurred in hospital settings. The classification showed the "gulf" that exists between IT and medical professionals in their perspectives on the underlying causes of medical errors. IT experts consider technology as the source of most errors and suggest solutions that are mostly technical. However, clinicians assigned the source of errors within the people, process, and contextual dimensions. For example, for the error "Copied and pasted charting in the wrong window: Before, you could not easily get into someone else's chart accidentally...because you would have to pull the chart and open it," medical experts highlighted contextual issues, including the number of patients a health care provider sees in a short time frame, unfamiliarity with a new electronic medical record system, nurse transitions around the time of error, and confusion due to patients having the same name. They emphasized process controls, including failure modes, as a potential fix. Technology experts, in contrast, discussed the lack of notification, poor user interface, and lack of end-user training as critical factors for this error.

CONCLUSIONS

Knowledge of the dimensions of the sociotechnical framework and their interplay with other dimensions can guide the choice of ways to address medical errors. These findings lead us to conclude that designers need not only a high degree of HIT know-how but also a strong understanding of the medical processes and contextual factors. Although software development teams have historically included clinicians as business analysts or subject matter experts to bridge the gap, development teams will be better served by more immersive exposure to clinical environments, leading to better software design and implementation, and ultimately to enhanced patient safety.

Patient monitoring as a predictor of blood culture results in a tertiary neonatal intensive care unit

We present a mesoergonomic approach to the early detection of neonatal sepsis, analyzing clinical data for 4999 patients from a neo-natal intensive care unit to predict positive culture results. The Apgar score at birth predicted positive results. For neonates with poor and intermediate Apgar scores, culture results for monitored infants were more likely to be positive than those for unmonitored infants. Thus, the medical staff tended to monitor infants who eventually had a greater chance for positive test results. A cost-effectiveness analysis indicated that for infants with high Apgar scores, the physician should decide whether to obtain a blood culture, based on the patient's characteristics. For infants with lower Apgar scores, it may be advisable to obtain a blood culture whenever one decides to monitor a neonate. The study demonstrates that staff decisions regarding a patient can serve as input for further clinical decision-making.

Work systems analysis of sterile processing: assembly

BACKGROUND

Sterile processing departments (SPDs) play a crucial role in surgical safety and efficiency. SPDs clean instruments to remove contaminants (decontamination), inspect and reorganise instruments into their correct trays (assembly), then sterilise and store instruments for future use (sterilisation and storage). However, broken, missing or inappropriately cleaned instruments are a frequent problem for surgical teams. These issues should be identified and corrected during the assembly phase.

OBJECTIVE

A work systems analysis, framed within the Systems Engineering Initiative for Patient Safety (SEIPS) model, was used to develop a comprehensive understanding of the assembly stage of reprocessing, identify the range of work challenges and uncover the inter-relationship among system components influencing reliable instrument reprocessing.

METHODS

The study was conducted at a 700-bed academic hospital in the Southeastern United States with two reprocessing facilities from October 2017 to October 2018. Fifty-six hours of direct observations, 36 interviews were used to iteratively develop the work systems analysis. This included the process map and task analysis developed to describe the assembly system, the abstraction hierarchy developed to identify the possible performance shaping factors (based on SEIPS) and a variance matrix developed to illustrate the relationship among the tasks, performance shaping factors, failures and outcomes. Operating room (OR) reported tray defect data from July 2016 to December 2017 were analysed to identify the percentage and types of defects across reprocessing phases the most common assembly defects.

RESULTS

The majority of the 3900 tray defects occurred during the assembly phase; impacting 5% of surgical cases (n=41 799). Missing instruments, which could result in OR delays and increased surgical duration, were the most commonly reported assembly defect (17.6%, n=700). High variability was observed in the reassembling of trays with failures including adding incorrect instruments, omitting instruments and failing to remove damaged instrument. These failures were precipitated by technological shortcomings, production pressures, tray composition, unstandardised instrument nomenclature and inadequate SPD staff training.

CONCLUSIONS

Supporting patient safety, minimising tray defects and OR delays and improving overall reliability of instrument reprocessing require a well-designed instrument tracking system, standardised nomenclature, effective coordination of reprocessing tasks between SPD and the OR and well-trained sterile processing technicians.

Cognitive Ergonomics Evaluation Assisted by an Intelligent Emotion Recognition Technique

The study of the cognitive effects caused by work activities are vital to ensure the well-being of a worker, and this work presents a strategy to analyze these effects while they are carrying out their activities. Our proposal is based on the implementation of pattern recognition techniques to identify emotions in facial expressions and correlate them to a proposed situation awareness model that measures the levels of comfort and mental stability of a worker and proposes corrective actions. We present the experimental results that could not be collected through traditional techniques since we carry out a continuous and uninterrupted assessment of the cognitive situation of a worker.

Assessing information sources to elucidate diagnostic process errors in radiologic imaging - a human factors framework

Objective

To assess information sources that may elucidate errors related to radiologic diagnostic imaging, quantify the incidence of potential safety events from each source, and quantify the number of steps involved from diagnostic imaging chain and socio-technical factors.

Materials and Methods

This retrospective, Institutional Review Board-approved study was conducted at the ambulatory healthcare facilities associated with a large academic hospital. Five information sources were evaluated: an electronic safety reporting system (ESRS), alert notification for critical result (ANCR) system, picture archive and communication system (PACS)-based quality assurance (QA) tool, imaging peer-review system, and an imaging computerized physician order entry (CPOE) and scheduling system. Data from these sources (January-December 2015 for ESRS, ANCR, QA tool, and the peer-review system; January-October 2016 for the imaging ordering system) were collected to quantify the incidence of potential safety events. Reviewers classified events by the step(s) in the diagnostic process they could elucidate, and their socio-technical factors contributors per the Systems Engineering Initiative for Patient Safety (SEIPS) framework.

Results

Potential safety events ranged from 0.5% to 62.1% of events collected from each source. Each of the information sources contributed to elucidating diagnostic process errors in various steps of the diagnostic imaging chain and contributing socio-technical factors, primarily Person, Tasks, and Tools and Technology.

Discussion

Various information sources can differentially inform understanding diagnostic process errors related to radiologic diagnostic imaging.

Conclusion

Information sources elucidate errors in various steps within the diagnostic imaging workflow and can provide insight into socio-technical factors that impact patient safety in the diagnostic process.

2019 Town Hall on Human Factors and Ergonomics for Patient Work

The 2019 Town Hall gathers stakeholders in the human factors and ergonomics (HFE) community who share an interest in applying HFE to study and improve patient work, an area called “patient ergonomics.” The objective of this town hall is to communally scope, prioritize, and develop applications of HFE for patient work. Whereas the 2018 Town Hall was primarily an initial community gathering, the 2019 Town Hall is envisioned as a space for further developing a community of practice in this area. The central activity of the 2019 Town Hall is a public commentary period, with live scribing, inviting attendees to address the (1) scope of patient ergonomics; (2) prioritization of future efforts; and (3) proposals to lead future development efforts.

A Work Systems Analysis of Sterile Processing: Sterilization and Case Cart Preparation

Achieving reliable instrument reprocessing requires finding the right balance among cost, productivity, and safety. However, there have been few attempts to comprehensively examine sterile processing department (SPD) work systems. We considered an SPD as an example of a socio-technical system - where people, tools, technologies, the work environment, and the organization mutually interact - and applied work systems analysis (WSA) to provide a framework for future intervention and improvement. The study was conducted at two SPD facilities at a 700-bed academic medical center servicing 56 onsite clinics, 31 operating rooms (ORs), and nine ambulatory centers. Process maps, task analyses, abstraction hierarchies, and variance matrices were developed through direct observations of reprocessing work and staff interviews and iteratively refined based on feedback from an expert group composed of eight staff from SPD, infection control, performance improvement, quality and safety, and perioperative services. Performance sampling conducted focused on specific challenges observed, interruptions during case cart preparation, and analysis of tray defect data from administrative databases. Across five main sterilization tasks (prepare load, perform double-checks, run sterilizers, place trays in cooling, and test the biological indicator), variance analysis identified 16 failures created by 21 performance shaping factors (PSFs), leading to nine different outcome variations. Case cart preparation involved three main tasks: storing trays, picking cases, and prioritizing trays. Variance analysis for case cart preparation identified 11 different failures, 16 different PSFs, and seven different outcomes. Approximately 1% of cases had a tray with a sterilization or case cart preparation defect and 13.5 interruptions per hour were noted during case cart preparation. While highly dependent upon the individual skills of the sterile processing technicians, making the sterilization process less complex and more visible, managing interruptions during case cart preparation, improving communication with the OR, and improving workspace and technology design could enhance performance in instrument reprocessing.

Complexity of the pediatric trauma care process: Implications for multi-level awareness

Trauma is the leading cause of disability and death in children and young adults in the US. While much is known about the medical aspects of inpatient pediatric trauma care, not much is known about the processes and roles involved in in-hospital care. Using human factors engineering (HFE) methods, we combine interview, archival document and trauma registry data to describe how intra-hospital care transitions affect process and team complexity. Specifically, we identify the 53 roles directly involved in patient care in each hospital unit and describe the 3324 total transitions between hospital units and the 69 unique pathways, from arrival to discharge, experienced by pediatric trauma patients. We continue the argument to shift from eliminating complexity to coping with it and propose supporting three levels of awareness to enhance the resilience and adaptation necessary for patient safety in health care, i.e. safety in complex systems. We discuss three levels of awareness (individual, team and organizational) and describe challenges and potential sociotechnical solutions for each. For example, one challenge to individual awareness is high time pressure. A potential solution is clinical decision support of information perception, integration and decision making. A challenge to team awareness is inadequate "non-technical" skills, e.g., leadership, communication, role clarity; simulation or another form of training could improve these. The complex, distributed nature of this process is a challenge to organizational awareness; a potential solution is to develop awareness of the process and the roles and interdependencies within it, by using process modeling or simulation.

Exploring leadership within a systems approach to reduce health care-associated infections: A scoping review of one work system model

BACKGROUND

Despite efforts to prevent health care-associated infections (HAIs), these infections continue to challenge health care systems. The Centers for Disease Control and Prevention emphasizes implementation of evidence-based practices. Within the complex health care environment, sustained implementation calls for work systems that harness expertise of interprofessional teams, which, in turn, calls for suitable executive, mid-level, and local leadership. The purpose of this review is to highlight the need to study leadership when using a systems approach to reduce HAIs.

METHODS

This is a scoping review of HAI studies that used a systems engineering model called the Systems Engineering Initiative for Patient Safety model. We examined if and how leadership was addressed within 1 systems approach.

RESULTS

We found 15 studies using the Systems Engineering Initiative for Patient Safety model and, of these, leadership was directly mentioned in 3 studies. In the remaining studies, reference to leadership may be inferred by use of terms such as teamwork, managerial oversight, climate and culture, staffing support, and institutional/administrative support.

CONCLUSIONS

Research is needed to bring recognition of the role of leadership within a work systems approach to reducing HAIs. We need further examination of leadership attributes and communication behaviors that allow staff to diffuse and sustain best practices to prevent HAIs.

Patient work from a context and time use perspective: a mixed-methods study protocol

INTRODUCTION

Self-management is widely promoted but less attention is focused on the work required from patients. To date, many individuals struggle to practise self-management. 'Patient work', a concept that examines the 'work' involved in self-management, is an approach to understanding the tasks, effort, time and context from patient perspective. The purpose of our study is to use a novel approach combining non-obstructive observations via digital devices with in-depth qualitative data about health behaviours and motivations, to capture the full range of patient work experienced by people with type 2 diabetes and chronic comorbidities. It aims to yield comprehensive insights about 'what works' in self-management, potentially extending to populations with other chronic health conditions.

METHODS AND ANALYSIS

This mixed-methods observational study involves a (1) prestudy interview and questionnaires, (2) a 24-hour period during which participants wear a camera and complete a time-use diary, and a (3) poststudy interview and study feedback. Adult participants living with type 2 diabetes with at least one chronic comorbidity will be recruited using purposive sampling to obtain a balanced gender ratio and of participants using insulin and those using only oral medication. Interviews will be analysed using thematic analysis. Data captured by digital devices, diaries and questionnaires will be used to analyse the duration, time, context and patterns of health-related behaviours.

ETHICS AND DISSEMINATION

The study was approved by the Macquarie University Human Research Ethics Committee for Medical Sciences (reference number 5201700718). Participants will carry a wallet-sized card that explains the purpose of the study to third parties, and can remove the camera at any stage. Before the poststudy interview begins, participants will view the camera images in private and can delete any images. Should any images be used in future publications or presentations, identifying features such as human faces and names will be obscured.

Improving Care Transitions Across Healthcare Settings Through a Human Factors Approach

After more than two decades of research focused on care transition improvement and intervention development, unfavorable outcome measures associated with care transitions across healthcare settings persist. Readmissions rates remain an important outcome to target for intervention, adverse events associated with care transitions continue to be an issue, and patients are often dissatisfied with the quality of their care. Currently, interventions to improve care transitions are disease specific, require substantial financial investments in training allied healthcare professionals, or focus primarily on hospital-based discharge planning with mixed results. This complex situation requires a method of evaluation that can provide a comprehensive, in-depth, and context-driven investigation of potential risks to safe care transitions across healthcare settings, which can lead to the creation of effective, usable, and sustainable interventions. A systems' approach known as Human Factors and Ergonomics (HFE) evaluates the factors in a system that affect human performance. This article describes how HFE can complement and further strengthen efforts to improve care transitions.

Medication adherence: staying within the boundaries of safety

An important domain of patient safety is the management of medications in home and community settings by patients and their caregiving network. This study applied human factors/ergonomics theories and methods to data about medication adherence collected from 61 patients with heart failure accompanied by 31 informal caregivers living in the US. Seventy non-adherence events were identified, described, and analysed for performance shaping factors. Half were classified as errors and half as violations. Performance shaping factors included elements of the person or team (e.g. patient limitations), task (e.g. complexity), tools and technologies (e.g. tool quality) and organisational, physical, and social context (e.g. resources, support, social influence). Study findings resulted in a dynamic systems model of medication safety applicable to patient medication adherence and the medication management process. Findings and the resulting model offer implications for future research on medication adherence, medication safety interventions, and resilience in home and community settings. Practitioner Summary: We describe situational and habitual errors and violations in medication use among older patients and their family members. Multiple factors pushed performance towards risk and harm. These factors can be the target for redesign or various forms of support, such as education, changes to the plan of care, and technology design.

Toward a process-level view of distributed healthcare tasks: Medication management as a case study

We aim to highlight the importance of using a process-level view in analyzing distributed healthcare tasks through a case study analysis of medication management (MM). MM during older adults' hospital-to-skilled-home-healthcare (SHHC) transitions is a healthcare process with tasks distributed across people, organizations, and time. MM has typically been studied at the task level, but a process-level is needed to fully understand and improve MM during transitions. A process-level view allows for a broader investigation of how tasks are distributed throughout the work system through an investigation of interactions and the resultant emergent properties. We studied MM during older adults' hospital-to-SHHC transitions through interviews and observations with 60 older adults, their 33 caregivers, and 79 SHHC providers at 5 sites associated with 3 SHHC agencies. Study findings identified key cross-system characteristics not observable at the task-level: (1) identification of emergent properties (e.g., role ambiguity, loosely-coupled teams performing MM) and associated barriers; and (2) examination of barrier propagation across system boundaries. Findings highlight the importance of a process-level view of healthcare delivery occurring across system boundaries.

Macroergonomic factors in the patient work system: examining the context of patients with chronic illness

Human factors/ergonomics recognises work as embedded in and shaped by levels of social, physical and organisational context. This study investigates the contextual or macroergonomic factors present in the health-related work performed by patients. We performed a secondary content analysis of findings from three studies of the work of chronically ill patients and their informal caregivers. Our resulting consolidated macroergonomic patient work system model identified 17 factors across physical, social and organisational domains and household and community levels. These factors are illustrated with examples from the three studies and discussed as having positive, negative or varying effects on health and health behaviour. We present three brief case studies to illustrate how macroergonomic factors combine across domains and levels to shape performance in expected and unexpected ways. Findings demonstrate not only the importance of context for patients' health-related activities but also specific factors to consider in future research, design and policy efforts. Practitioner Summary: Health-related activities of patients are embedded in and shaped by levels of social, physical and organisational context. This paper combined findings from three studies to specify 17 contextual or macroergonomic factors in home- and community-based work systems of chronically ill patients. These factors have research, design and policy implications.

Human factors analysis, design, and evaluation of Engage, a consumer health IT application for geriatric heart failure self-care

Human factors and ergonomics (HFE) and related approaches can be used to enhance research and development of consumer-facing health IT systems, including technologies supporting the needs of people with chronic disease. We describe a multiphase HFE study of health IT supporting self-care of chronic heart failure by older adults. The study was based on HFE frameworks of "patient work" and incorporated the three broad phases of user-centered design: study or analysis; design; and evaluation. In the study phase, data from observations, interviews, surveys, and other methods were analyzed to identify gaps in and requirements for supporting heart failure self-care. The design phase applied findings from the study phase throughout an iterative process, culminating in the design of the Engage application, a product intended for continuous use over 30 days to stimulate self-care engagement, behavior, and knowledge. During the evaluation phase, we identified a variety of usability issues through expert heuristic evaluation and laboratory-based usability testing. We discuss the implications of our findings regarding heart failure self-care in older adults and the methodological challenges of rapid translational field research and development in this domain.

Field-Based Human Factors in Home and Community Settings

Studies of complex health and healthcare phenomena such as transitions of care, chronic disease management, or care coordination, often require field work spanning people, time, and place. The scope of such field work often includes patients and their families and settings such as the home and community. Human factors researchers are identifying the challenges associated with conducting such work and are developing practical strategies. This panel gathers human factors experts to address the question: What are the challenges to and strategies for conducting human factors field research on health and healthcare with multiple individuals including patients, over longer periods of time, and across settings including the (patient) home and community? Panelists answer this question by describing their personal experiences with multiple studies and provide vignettes for grounding an interactive panelist-audience discussion.

Health Care Human Factors/Ergonomics Fieldwork in Home and Community Settings

Designing innovations aligned with patients' needs and workflow requires human factors and ergonomics (HF/E) fieldwork in home and community settings. Fieldwork in these extra-institutional settings is challenged by a need to balance the occasionally competing priorities of patient and informal caregiver participants, study team members, and the overall project. We offer several strategies that HF/E professionals can use before, during, and after home and community site visits to optimize fieldwork and mitigate challenges in these settings. Strategies include interacting respectfully with participants, documenting the visit, managing the study team-participant relationship, and engaging in dialogue with institutional review boards.

Technology-Mediated Communication between Patients and Primary Care Clinicians and Staff

Health information technology, i.e. secure messaging, can support high-quality, efficient care. Secure messaging – encrypted communication between patient and clinician or staff, similar to email – can facilitate patient-reported information and communication, but its fit with clinical workflow is not understood. Fifteen primary care clinicians and staff were interviewed and observed over 35 hours to understand the impact of secure messaging on ambiguity within the care delivery workflow. We developed a general workflow diagram for secure messaging, and identified three types of ambiguity relating to workflow, content of communication, and multiple points of data entry. While the use of secure messaging can help to clarify and document patient information, it can also increase ambiguity, particularly relating to the organization of work and workflow. Understanding how to design and implement technology to support multiple stakeholders, including patients, while considering the work system is a major area for future research.

A Human Factors Engineering Study of the Medication Delivery Process during an Anesthetic

Background

Prefilled syringes (PFS) have been recommended by the Anesthesia Patient Safety Foundation. However, aspects in PFS systems compared with self-filled syringes (SFS) systems have never been explored. The aim of this study is to compare system vulnerabilities (SVs) in the two systems and understand the impact of PFS on medication safety and efficiency in the context of anesthesiology medication delivery in operating rooms.

Methods

This study is primarily qualitative research, with a quantitative portion. A work system analysis was conducted to analyze the complicated anesthesia work system using human factors principles and identify SVs. Anesthesia providers were shadowed: (1) during general surgery cases (n = 8) exclusively using SFS and (2) during general surgery cases (n = 9) using all commercially available PFS. A proactive risk assessment focus group was followed to understand the risk of each identified SV.

Results

PFS are superior to SFS in terms of the simplified work processes and the reduced number and associated risk of SVs. Eight SVs were found in the PFS system versus 21 in the SFS system. An SV example with high risk in the SFS system was a medication might need to be “drawn-up during surgery while completing other requests simultaneously.” This SV added cognitive complexity during anesthesiology medication delivery. However, it did not exist in the PFS system.

Conclusions

The inclusion of PFS into anesthesiology medication delivery has the potential to improve system safety and work efficiency. However, there were still opportunities for further improvement by addressing the remaining SVs and newly introduced complexity.

Safety challenges of medical equipment in nurse anaesthetist training in Haiti

Safety challenges related to the use of medical equipment were investigated during the training of nurse anaesthetists in Haiti, using a systems approach to Human Factors and Ergonomics (HFE). The Observable Performance Obstacles tool, based on the Systems Engineering Initiative for Patient Safety (SEIPS) model, was used in combination with exploratory observations during 13 surgical procedures, to identify performance obstacles created by the systemic interrelationships of medical equipment. The identification of performance obstacles is an effective way to study the accumulation of latent factors and risk hazards, and understand its implications in practice and behaviour of healthcare practitioners. In total, 123 performance obstacles were identified, of which the majority was related to environmental and organizational aspects. These findings show how the performance of nurse anaesthetists and their relation to medical equipment is continuously affected by more than user-related aspects. The contribution of systemic performance obstacles and coping strategies to enrich system design interventions and improve healthcare system is highlighted. In addition, methodological challenges of HFE research in low-resource settings related to professional culture and habits, and the potential of community ergonomics as a problem-managing approach are described.

Interruptions in the wild: Development of a sociotechnical systems model of interruptions in the emergency department through a systematic review

Interruptions are unavoidable in the "interrupt driven" Emergency Department (ED). A critical review and synthesis of the literature on interruptions in the ED can offer insight into the nature of interruptions in complex real-world environments. Fifteen empirical articles on interruptions in the ED were identified through database searches. Articles were reviewed, critiqued, and synthesized. There was little agreement and several gaps in conceptualizing sociotechnical system factors, process characteristics, and interruption outcomes. While multiple outcomes of interruptions were mentioned, few were measured, and the relationship between multiple outcomes was rarely assessed. Synthesizing the literature and drawing on ergonomic concepts, we present a sociotechnical model of interruptions in complex settings that motivates new directions in research and design. The model conceptualizes interruptions as a process, not a single event, that occurs within and is shaped by an interacting socio-technical system and that results in a variety of interrelated outcomes.

Healthcare workers' perceptions of lean: a context-sensitive, mixed methods study in three Swedish hospitals

As the application of lean in healthcare expands, further research is needed in at least two areas: first, on the role of context in shaping lean and its consequences and second, on how healthcare workers perceive lean. Accordingly, this context-sensitive, mixed methods study addressed how hospital workers' perceptions of lean varied across contexts in three Swedish hospitals. Registered nurses and physicians at the hospitals and across units differing in acuity completed standardized surveys (N = 236, 57% response rate) about their perceptions of hospital-wide lean implementation. Perceptions varied by: hospital context, with one hospital's employees reporting the least favorable perceptions; unit acuity, with higher-acuity units reporting more favorable perceptions; and professional role, with nurses reporting more favorable perceptions than physicians. Individual interviews, group interviews, and observations provided insight about these dissimilar contexts and possible explanations for context-specific variability. Findings are discussed with respect to strategies for implementing lean in healthcare; the importance of attending to levels, context, and worker consequences of lean; and directions for future research.

A systematic review of human factors and ergonomics (HFE)-based healthcare system redesign for quality of care and patient safety

Healthcare systems need to be redesigned to provide care that is safe, effective and efficient, and meets the multiple needs of patients. This systematic review examines how human factors and ergonomics (HFE) is applied to redesign healthcare work systems and processes and improve quality and safety of care. We identified 12 projects representing 23 studies and addressing different physical, cognitive and organisational HFE issues in a variety of healthcare systems and care settings. Some evidence exists for the effectiveness of HFE-based healthcare system redesign in improving process and outcome measures of quality and safety of care. We assessed risk of bias in 16 studies reporting the impact of HFE-based healthcare system redesign and found varying quality across studies. Future research should further assess the impact of HFE on quality and safety of care, and clearly define the mechanisms by which HFE-based system redesign can improve quality and safety of care.

Human factors and health information technology: current challenges and future directions

OBJECTIVES

Recent federal mandates and incentives have spurred the rapid growth, development and adoption of health information technology (HIT). While providing significant benefits for better data integration, organization, and availability, recent reports have raised questions regarding their potential to cause medication errors, decreased clinician performance, and lowered efficiency. The goal of this survey article is to (a) examine the theoretical and foundational models of human factors and ergonomics (HFE) that are being advocated for achieving patient safety and quality, and their use in the evaluation of healthcare systems; (b) and the potential for macroergonomic HFE approaches within the context of current research in biomedical informatics.

METHODS

We reviewed literature (2007-2013) on the use of HFE approaches in healthcare settings, from databases such as Pubmed, CINAHL, and Cochran.

RESULTS

Based on the review, we discuss the systems-oriented models, their use in the evaluation of HIT, and examples of their use in the evaluation of EHR systems, clinical workflow processes, and medication errors. We also discuss the opportunities for better integrating HFE methods within biomedical informatics research and its potential advantages.

CONCLUSIONS

The use of HFE methods is still in its infancy - better integration of HFE within the design lifecycle, and quality improvement efforts can further the ability of informatics researchers to address the key concerns regarding the complexity in clinical settings and develop HIT solutions that are designed within the social fabric of the considered setting.

A simple framework for complex system improvement

The need to rapidly improve health care value is unquestioned, but the means to accomplish this task is unknown. Improving performance at the level of the health care organization frequently involves multiple interventions, which must be coordinated and sequenced to fit the specific context. Those responsible for achieving large-scale improvements are challenged by the lack of a framework to describe and organize improvement strategies. Drawing from the fields of health services, industrial engineering, and organizational behavior, a simple framework was developed and has been used to guide and evaluate improvement initiatives at an academic health center. The authors anticipate that this framework will be helpful for health system leaders responsible for improving health care quality.