Workflow integration analysis of a human factors-based clinical decision support in the emergency department.

Numerous challenges with the implementation, acceptance, and use of health IT are related to poor usability and a lack of integration of the technologies into clinical workflow, and have, therefore, limited the potential of these technologies to improve patient safety. We propose a definition and conceptual model of health IT workflow integration. Using interviews of 12 emergency department (ED) physicians, we identify 134 excerpts of barriers and facilitators to workflow integration of a human factors (HF)-based clinical decision support (CDS) implemented in the ED. Using data on these 134 barriers and facilitators, we distinguish 25 components of workflow integration of the CDS, which are described according to four dimensions of workflow integration: time, flow, scope of patient journey, and level. The proposed definition and conceptual model of workflow integration can be used to inform health IT design; this is the purpose of the proposed checklist that can help to ensure consideration of workflow integration during the development of health IT.

Implementing daily chlorhexidine gluconate (CHG) bathing in VA settings: The human factors engineering to prevent resistant organisms (HERO) project.

BACKGROUND: Daily use of chlorhexidine gluconate (CHG) has been shown to reduce risk of healthcare-associated infections. We aimed to assess moving CHG bathing into routine practice using a human factors approach. We evaluated implementation in non-intensive care unit (ICU) settings in the Veterans Health Administration. METHODS: Our multiple case study approach included non-ICU units from 4 Veterans Health Administration settings. Guided by the Systems Engineering Initiative for Patient Safety, we conducted focus groups and interviews to capture barriers and facilitators to daily CHG bathing. We measured compliance using observations and skin CHG concentrations. RESULTS: Barriers to daily CHG include time, concern of increasing antibiotic resistance, workflow and product concerns. Facilitators include engagement of champions and unit shared responsibility. We found shortfalls in patient education, hand hygiene and CHG use on tubes and drains. CHG skin concentration levels were highest among patients from spinal cord injury units. These units applied antiseptic using 2% CHG impregnated wipes vs 4% CHG solution/soap. DISCUSSION: Non-ICUs implementing CHG bathing must consider human factors and work system barriers to ensure uptake and sustained practice change. CONCLUSIONS: Well-planned rollouts and a unit culture promoting shared responsibility are key to compliance with daily CHG bathing. Successful implementation requires attention to staff education and measurement of compliance.

Implementing daily chlorhexidine gluconate treatment for the prevention of healthcare-associated infections in non-intensive care settings: A multiple case analysis.

INTRODUCTION: Daily bathing with chlorhexidine gluconate (CHG) in hospitalized patients reduces healthcare-associated bloodstream infections and colonization by multidrug-resistant organisms. Achieving compliance with bathing protocols is challenging. This non-intensive care unit multicenter project evaluated the impact of organizational context on implementation of CHG and assessed compliance with and healthcare workers' perceptions of the intervention. MATERIALS AND METHODS: This was a multiple case study based on the SEIPS (Systems Engineering Initiative for Patient Safety) model of work system and patient safety. The four sites included an adult cardiovascular unit in a community hospital, a medical-surgical unit in an academic teaching pediatric hospital, an adult medical-surgical acute care unit and an adult neuroscience acute care unit in another academic teaching hospital. Complementary data collection methods included focus groups and interviews with healthcare workers (HCWs) and leaders, and direct observations of the CHG treatment process and skin swabs. RESULTS: We collected 389 bathing observations and 110 skin swabs, conducted four focus groups with frontline workers and interviewed leaders. We found variation across cases in CHG compliance, skin swab data and implementation practices. Mean compliance with the bathing process ranged from 64% to 83%. Low detectable CHG on the skin was related to immediate rinsing of CHG from the skin. Variation in the implementation of CHG treatments was related to differences in organizational education and training practices, feedback and monitoring practices, patient education or information about CHG treatments, patient preferences and general unit patient population differences. CONCLUSION: Organizations planning to implement CHG treatments in non-ICU settings should ensure organizational readiness and buy-in and consider delivering systematic and ongoing training. Clear and systematic implementation policies across patients and units may help reduce potential confusion about treatment practices and variation across HCWs. Patient populations and unit factors need to be carefully considered and procedures developed to manage unique challenges.

SEIPS 3.0: Human-centered design of the patient journey for patient safety.

The Systems Engineering Initiative for Patient Safety (SEIPS) and SEIPS 2.0 models provide a framework for integrating Human Factors and Ergonomics (HFE) in health care quality and patient safety improvement. As care becomes increasingly distributed over space and time, the "process" component of the SEIPS model needs to evolve and represent this additional complexity. In this paper, we review different ways that the process component of the SEIPS models have been described and applied. We then propose the SEIPS 3.0 model, which expands the process component, using the concept of the patient journey to describe the spatio-temporal distribution of patients' interactions with multiple care settings over time. This new SEIPS 3.0 sociotechnical systems approach to the patient journey and patient safety poses several conceptual and methodological challenges to HFE researchers and professionals, including the need to consider multiple perspectives, issues with genuine participation, and HFE work at the boundaries.

Application of human factors to improve usability of clinical decision support for diagnostic decision-making: a scenario-based simulation study.

OBJECTIVE: In this study, we used human factors (HF) methods and principles to design a clinical decision support (CDS) that provides cognitive support to the pulmonary embolism (PE) diagnostic decision-making process in the emergency department. We hypothesised that the application of HF methods and principles will produce a more usable CDS that improves PE diagnostic decision-making, in particular decision about appropriate clinical pathway. MATERIALS AND METHODS: We conducted a scenario-based simulation study to compare a HF-based CDS (the so-called CDS for PE diagnosis (PE-Dx CDS)) with a web-based CDS (MDCalc); 32 emergency physicians performed various tasks using both CDS. PE-Dx integrated HF design principles such as automating information acquisition and analysis, and minimising workload. We assessed all three dimensions of usability using both objective and subjective measures: effectiveness (eg, appropriate decision regarding the PE diagnostic pathway), efficiency (eg, time spent, perceived workload) and satisfaction (perceived usability of CDS). RESULTS: Emergency physicians made more appropriate diagnostic decisions (94% with PE-Dx; 84% with web-based CDS; p<0.01) and performed experimental tasks faster with the PE-Dx CDS (on average 96 s per scenario with PE-Dx; 117 s with web-based CDS; p<0.001). They also reported lower workload (p<0.001) and higher satisfaction (p<0.001) with PE-Dx. CONCLUSIONS: This simulation study shows that HF methods and principles can improve usability of CDS and diagnostic decision-making. Aspects of the HF-based CDS that provided cognitive support to emergency physicians and improved diagnostic performance included automation of information acquisition (eg, auto-populating risk scoring algorithms), minimisation of workload and support of decision selection (eg, recommending a clinical pathway). These HF design principles can be applied to the design of other CDS technologies to improve diagnostic safety.

Care coordination for chronically ill patients: Identifying coordination activities and interdependencies.

Care coordination is important for chronically ill patients who need assistance from a variety of healthcare professionals especially when they transition through different care settings. There has not been a clear definition of care coordination and its associated activities. This paper provides a two-dimension framework of care coordination for chronically ill patients: 1) coordination activities (i.e. communication and monitoring) and 2) interdependencies (i.e. flow, shared resources, simultaneity). We used this framework in a qualitative content analysis of 12 interviews with healthcare professionals involved in coordinating care of chronically ill patients. We identified a total of 258 care coordination activities and developed categories and sub-categories using the constant comparative method. The first category of care coordination activities involves communication with flow or shared resources interdependencies or both. This category includes arranging services and equipment for the patient, exchanging information about patient transition to different care settings, reporting errors and resolving them, and helping the patient with appointments and transportation. The second category involves monitoring, sometimes combined with communication, with flow or shared resources interdependencies or both. This category includes reviewing medications and services and detecting errors, reviewing patient symptoms and following up if needed, and scheduling follow-up to review patient status. The last category involves communication with simultaneity interdependency. This category involves talking in the same location and developing a plan of care, people exchanging information at the same time, and scheduling delivery of medications/services to correspond with patient arrival home. Finally, we identified characteristics of health information technology that can support these various care coordination activities.

Implementation of a Clostridioides difficile prevention bundle: Understanding common, unique, and conflicting work system barriers and facilitators for subprocess design.

OBJECTIVE: Clostridioides difficile (C. difficile) poses a major challenge to the healthcare system. We assessed factors that should be considered when designing subprocesses of a C. difficile infection (CDI) prevention bundle. DESIGN: Phenomenological qualitative study. METHODS: We conducted 3 focus groups of environmental services (EVS) staff, physicians, and nurses to assess their perspectives on a CDI prevention bundle. We used the Systems Engineering Initiative for Patient Safety (SEIPS) model to examine 5 subprocesses of the CDI bundle: diagnostic testing, empiric isolation, contact isolation, hand hygiene, and environmental disinfection. We coded transcripts to the 5 SEIPS elements and ensured scientific rigor. We sought to determine common, unique, and conflicting factors across stakeholder groups and subprocesses of the CDI bundle. RESULTS: Each focus group lasted 1.5 hours on average. Common work-system barriers included inconsistencies in knowledge and practice of CDI management procedures; increased workload; poor setup of aspects of the physical environment (eg, inconvenient location of sinks); and inconsistencies in CDI documentation. Unique barriers and facilitators were related to specific activities performed by the stakeholder group. For instance, algorithmic approaches used by physicians facilitated timely diagnosis of CDI. Conflicting barriers or facilitators were related to opposing objectives; for example, clinicians needed rapid placement of a patient in a room while EVS staff needed time to disinfect the room. CONCLUSIONS: A systems engineering approach can help to holistically identify factors that influence successful implementation of subprocesses of infection prevention bundles.

Technology barriers and strategies in coordinating care for chronically ill patients.

Care managers who coordinate care for chronically ill patients in hospitals and outpatient settings use multiple health information technologies for accessing, processing, documenting, and communicating patient-related information. Using a combination of 41 interviews and observations of 15 care managers, we identified a range of technology-related barriers experienced by care managers (total of 163 occurrences). The barriers are related to (lack of) access to information, inadequate information, limited usefulness and usability of the technologies, challenges associated with using multiple health IT, and technical problems. In 43% of the occurrences, care managers describe strategies to deal with the technology barriers; these fit in three categories: nothing/delay (9 occurrences), work-arounds (32 occurrences), and direct action at the individual, team, and organization levels (29 occurrences). Our data show the adaptive capacity of care managers who develop various strategies to deal with technology barriers and are, therefore, able to care for chronically ill patients. This information can be used as input to work system redesigns.

SEIPS-based process modeling in primary care.

Process mapping, often used as part of the human factors and systems engineering approach to improve care delivery and outcomes, should be expanded to represent the complex, interconnected sociotechnical aspects of health care. Here, we propose a new sociotechnical process modeling method to describe and evaluate processes, using the SEIPS model as the conceptual framework. The method produces a process map and supplementary table, which identify work system barriers and facilitators. In this paper, we present a case study applying this method to three primary care processes. We used purposeful sampling to select staff (care managers, providers, nurses, administrators and patient access representatives) from two clinics to observe and interview. We show the proposed method can be used to understand and analyze healthcare processes systematically and identify specific areas of improvement. Future work is needed to assess usability and usefulness of the SEIPS-based process modeling method and further refine it.

Obstacles Experienced by Care Managers in Managing Information for the Care of Chronically Ill Patients.

Care managers play a key role in coordinating care, especially for patients with chronic conditions. They use multiple health information technology application in order to access, process and communicate patient-related information. Using the work system model and its extension, the SEIPS model (Carayon et al., 2006a; Smith and Carayon-Sainfort, 1989), we describe obstacles experienced by care manager in managing patient-related information. A web-based questionnaire was used to collect data from 80 care managers (61% response rate) located in clinics, hospitals and a call center. Care managers were more likely to consider 'inefficiencies in access to patient-related information' and 'having to use multiple information systems' as major obstacles than 'lack of computer training and support' and 'inefficient use of case management software.' Care managers who reported inefficient use of software as an obstacle were more likely to report high workload. Future research should explore strategies used by care managers' to address obstacles, and efforts should be targeted at improving the health information technologies used by care managers.

Management of ventilator-associated pneumonia in intensive care units: a mixed methods study assessing barriers and facilitators to guideline adherence.

BACKGROUND: Guidelines from the Infectious Diseases Society of America/The American Thoracic Society (IDSA/ATS) provide recommendations for diagnosis and treatment of ventilator-associated pneumonia (VAP). However, the mere presence of guidelines is rarely sufficient to promote widespread adoption and uptake. Using the Systems Engineering Initiative for Patient Safety (SEIPS) model framework, we undertook a study to understand barriers and facilitators to the adoption of the IDSA/ATS guidelines. METHODS: We conducted surveys and focus group discussions of different health care providers involved in the management of VAP. The setting was medical-surgical ICUs at a tertiary academic hospital and a large multispecialty rural hospital in Wisconsin, USA. RESULTS: Overall, we found that 55 % of participants indicated that they were aware of the IDSA/ATS guideline. The top ranked barriers to VAP management included: 1) having multiple physician groups managing VAP, 2) variation in VAP management by differing ICU services, 3) physicians and level of training, and 4) renal failure complicating doses of antibiotics. Facilitators to VAP management included presence of multidisciplinary rounds that include nurses, pharmacist and respiratory therapists, and awareness of the IDSA/ATS guideline. This awareness was associated with receiving effective training on management of VAP, keeping up to date on nosocomial infection literature, and belief that performing a bronchoscopy to diagnose VAP would help with expeditious diagnosis of VAP. CONCLUSIONS: Findings from our study complement existing studies by identifying perceptions of the many different types of healthcare workers in ICU settings. These findings have implications for antibiotic stewardship teams, clinicians, and organizational leaders.

Perceived Impact of Care Managers' Work on Patient and Clinician Outcomes.

OBJECTIVES: The aim of this study is to assess the contributions of care management as perceived by care managers themselves. STUDY DESIGN: Focus groups and interviews with care managers who coordinate care for chronic obstructive pulmonary disease and congestive heart failure patients, as well as patients undergoing major surgery. METHODS: We collected data in focus groups and interviews with 12 care managers working in the Keystone Beacon Community project, including 5 care managers working in hospitals, 2 employed in outpatient clinics and 4 telephoning discharged patients from a Transitions of Care (TOC) call center. RESULTS: Inpatient care managers believe that (1) ensuring primary care provider follow-up, (2) coordinating appropriate services, (3) providing patient education, and (4) ensuring accurate medication reconciliation have the greatest impact on patient clinical outcomes. In contrast, outpatient and TOC care managers believe that (1) teaching patients the signs and symptoms of acute exacerbations and (2) building effective relationships with patients improve patient outcomes most. Some care management activities were perceived to have greater impact on patients with certain conditions (e.g., outpatient and TOC care managers saw effective relationships as having more impact on patients with COPD). All care managers believed that relationships with patients have the greatest impact on patient satisfaction, while the support they provide clinicians has the greatest impact on clinician satisfaction. CONCLUSIONS: These findings may improve best practice for care managers by focusing interventions on the most effective activities for patients with specific medical conditions.

Using Human Factors and Systems Engineering to Evaluate Readmission after Complex Surgery.

BACKGROUND: Our objective was to use a human factors and systems engineering approach to understand contributors to surgical readmissions from a patient and provider perspective. Previous studies on readmission have neglected the patient perspective. To address this gap and to better inform intervention design, we evaluated how transitions of care relate to and influence readmission from the patient and clinician perspective using the Systems Engineering Initiative for Patient Safety (SEIPS) model. STUDY DESIGN: Patients readmitted within 30 days of discharge after complex abdominal surgery were interviewed. A focus group of inpatient clinician providers was conducted. Questions were guided by the SEIPS framework and content was analyzed. Data were collected concurrently from the medical record for a mixed-methods approach. RESULTS: Readmission occurred a median of 8 days (range 1 to 25 days) after discharge. All patients had follow-up scheduled with their surgeon, but readmission occurred before this in 72% of patients. Primary readmission diagnoses included infection, gastrointestinal complications, and dehydration. Patients (n = 18) and clinician providers (n = 6) identified a number of factors during the transition of care that may have contributed to readmission, including poor patient and caregiver understanding; inadequate discharge preparation for home care; insufficient educational process and materials, negatively affected by electronic health record design; and inadequate care team communication. CONCLUSIONS: This is the first study to use a human factors and systems engineering approach to evaluate the impact of the quality of the transition of care and its influence on readmission from the patient and clinician perspective. Important targets for future interventions include enhancing the discharge process, improving education materials, and increasing care team coordination, with the overarching theme that improved patient and caregiver understanding and engagement are essential to decrease readmission and postdischarge health care use.

Human factors systems approach to healthcare quality and patient safety.

Human factors systems approaches are critical for improving healthcare quality and patient safety. The SEIPS (Systems Engineering Initiative for Patient Safety) model of work system and patient safety is a human factors systems approach that has been successfully applied in healthcare research and practice. Several research and practical applications of the SEIPS model are described. Important implications of the SEIPS model for healthcare system and process redesign are highlighted. Principles for redesigning healthcare systems using the SEIPS model are described. Balancing the work system and encouraging the active and adaptive role of workers are key principles for improving healthcare quality and patient safety.

SEIPS 2.0: a human factors framework for studying and improving the work of healthcare professionals and patients.

Healthcare practitioners, patient safety leaders, educators and researchers increasingly recognise the value of human factors/ergonomics and make use of the discipline's person-centred models of sociotechnical systems. This paper first reviews one of the most widely used healthcare human factors systems models, the Systems Engineering Initiative for Patient Safety (SEIPS) model, and then introduces an extended model, 'SEIPS 2.0'. SEIPS 2.0 incorporates three novel concepts into the original model: configuration, engagement and adaptation. The concept of configuration highlights the dynamic, hierarchical and interactive properties of sociotechnical systems, making it possible to depict how health-related performance is shaped at 'a moment in time'. Engagement conveys that various individuals and teams can perform health-related activities separately and collaboratively. Engaged individuals often include patients, family caregivers and other non-professionals. Adaptation is introduced as a feedback mechanism that explains how dynamic systems evolve in planned and unplanned ways. Key implications and future directions for human factors research in healthcare are discussed.

Conducting an efficient proactive risk assessment prior to CPOE implementation in an intensive care unit.

PURPOSE: To develop, conduct, and evaluate a proactive risk assessment (PRA) of the design and implementation of CPOE in an ICU. METHODS: We developed a PRA method based on issues identified from documented experience with conventional PRA methods and the constraints of an organization about to implement CPOE in an intensive care unit. The PRA method consists of three phases: planning (three months), team (one five-hour meeting), and evaluation (short- and long-term). RESULTS: Sixteen unique relevant vulnerabilities were identified as a result of the PRA team's efforts. Negative consequences resulting from the vulnerabilities included potential patient safety and quality of care issues, non-compliance with regulatory requirements, increases in cognitive burden on CPOE users, and/or worker inconvenience or distress. Actions taken to address the vulnerabilities included redesign of the technology, process (workflow) redesign, user training, and/or ongoing monitoring. Verbal and written evaluation by the team members indicated that the PRA method was useful and that participants were willing to participate in future PRAs. Long-term evaluation was accomplished by monitoring an ongoing "issues list" of CPOE problems identified by or reported to IT staff. Vulnerabilities identified by the team were either resolved prior to CPOE implementation (n=7) or shortly thereafter (n=9). No other issues were identified beside those identified by the team. CONCLUSIONS: Generally positive results from the various evaluations including a long-term evaluation demonstrate the value of developing an efficient PRA method that meets organizational and contextual requirements and constraints.

Macroergonomics in Healthcare Quality and Patient Safety.

The US Institute of Medicine and healthcare experts have called for new approaches to manage healthcare quality problems. In this chapter, we focus on macroergonomics, a branch of human factors and ergonomics that is based on the systems approach and considers the organizational and sociotechnical context of work activities and processes. Selected macroergonomic approaches to healthcare quality and patient safety are described such as the SEIPS model of work system and patient safety and the model of healthcare professional performance. Focused reviews on job stress and burnout, workload, interruptions, patient-centered care, health IT and medical devices, violations, and care coordination provide examples of macroergonomics contributions to healthcare quality and patient safety. Healthcare systems and processes clearly need to be systematically redesigned; examples of macroergonomic approaches, principles and methods for healthcare system redesign are described. Further research linking macroergonomics and care processes/patient outcomes is needed. Other needs for macroergonomics research are highlighted, including understanding the link between worker outcomes (e.g., safety and well-being) and patient outcomes (e.g., patient safety), and macroergonomics of patient-centered care and care coordination.

Challenges to care coordination posed by the use of multiple health IT applications.

Coordinating care for hospitalized patients requires the use of multiple sources of information. Using a macroergonomic framework (i.e. the work system model), we conducted interviews and observations of care managers involved in care coordination across transitions of care. When information is distributed across multiple health IT applications, care managers experience a range of challenges, including organizational barriers, technology design problems, skills and knowledge issues, and task performance demands (i.e. issues related to individual information processing and management and sharing of information). These challenges can be used as a checklist to evaluate the proposed IT infrastructure that will allow the integration of multiple health IT applications and, therefore, support coordination across transitions of care.

ICU nurses' acceptance of electronic health records.

OBJECTIVE: To assess intensive care unit (ICU) nurses' acceptance of electronic health records (EHR) technology and examine the relationship between EHR design, implementation factors, and nurse acceptance. DESIGN: The authors analyzed data from two cross-sectional survey questionnaires distributed to nurses working in four ICUs at a northeastern US regional medical center, 3 months and 12 months after EHR implementation. MEASUREMENTS: Survey items were drawn from established instruments used to measure EHR acceptance and usability, and the usefulness of three EHR functionalities, specifically computerized provider order entry (CPOE), the electronic medication administration record (eMAR), and a nursing documentation flowsheet. RESULTS: On average, ICU nurses were more accepting of the EHR at 12 months as compared to 3 months. They also perceived the EHR as being more usable and both CPOE and eMAR as being more useful. Multivariate hierarchical modeling indicated that EHR usability and CPOE usefulness predicted EHR acceptance at both 3 and 12 months. At 3 months postimplementation, eMAR usefulness predicted EHR acceptance, but its effect disappeared at 12 months. Nursing flowsheet usefulness predicted EHR acceptance but only at 12 months. CONCLUSION: As the push toward implementation of EHR technology continues, more hospitals will face issues related to acceptance of EHR technology by staff caring for critically ill patients. This research suggests that factors related to technology design have strong effects on acceptance, even 1 year following the EHR implementation.