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Chronically ill patients may be at risk of re-hospitalization or even death if their care transitions are poorly coordinated. Transitions of care create challenges for care coordination, such as in...

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.

ObjectiveIn 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 methodsWe 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).ResultsEmergency physicians made more appropriate diagnostic decisions (94% with PE-Dx; 84% with web-based CDS; pConclusionsThis 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.

The emergency department (ED) is a complex environment where diagnoses must often be made quickly, based on incomplete information. Pulmonary embolism (PE) is an especially challenging diagnosis that is frequently delayed or missed due to its non-specific symptoms, and can be life-threatening when not treated. Clinical decision supports (CDS) have the potential to improve these difficult decisions; however, previous efforts to implement CDS in the ED have faced challenges due to poor usability and lack of workflow integration. The objective of this study is to identify potential barriers to workflow integration from the technology’s implementation and inform the CDS design; this is achieved by analyzing ED physicians’ workflow during a usability evaluation of two different CDS, a web-based risk scoring CDS and a CDS designed using an human-centered design (HCD) process and human factors (HF) design principles. The number of cases matching the guideline-based workflow and the percent of correct diagnostic decisions increased from the use of the HF-based CDS, but varied depending on the patient scenario. We identified three workflow variations, which had both positive and negative implications for the CDS design and implementation. The workflow analysis can be used to inform the CDS design and improve the technology’s usability and integration in physician workflow prior to implementation.

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.

Study objective As electronic health records evolve, integration of computerized clinical decision support offers the promise of sorting, collecting, and presenting this information to improve patient care. We conducted a systematic review to examine the scope and influence of electronic health record–integrated clinical decision support technologies implemented in the emergency department (ED). Methods A literature search was conducted in 4 databases from their inception through January 18, 2018: PubMed, Scopus, the Cumulative Index of Nursing and Allied Health, and Cochrane Central. Studies were included if they examined the effect of a decision support intervention that was implemented in a comprehensive electronic health record in the ED setting. Standardized data collection forms were developed and used to abstract study information and assess risk of bias. Results A total of 2,558 potential studies were identified after removal of duplicates. Of these, 42 met inclusion criteria. Common targets for clinical decision support intervention included medication and radiology ordering practices, as well as more comprehensive systems supporting diagnosis and treatment for specific disease entities. The majority of studies (83%) reported positive effects on outcomes studied. Most studies (76%) used a pre-post experimental design, with only 3 (7%) randomized controlled trials. Conclusion Numerous studies suggest that clinical decision support interventions are effective in changing physician practice with respect to process outcomes such as guideline adherence; however, many studies are small and poorly controlled. Future studies should consider the inclusion of more specific information in regard to design choices, attempt to improve on uncontrolled before-after designs, and focus on clinically relevant outcomes wherever possible.

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.

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.

In this paper, we describe the role network analysis method to capture and visually convey healthcare team members’ clinical interactions as well as individual activities performed in light of VTE prophylaxis management for hospitalized patients. Our visual representations expand on the role network analysis work of Pasmore (1988) and flow model of Beyer and Holtzblatt (1998) and offer a deeper sociotechnical representation of the work of healthcare team members.

IntroductionDaily 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 methodsThis 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.ResultsWe 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.ConclusionOrganizations 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.

Hospitals are complex environments that rely on clinicians working together to provide appropriate care to patients. These clinical teams adapt their interactions to meet changing situational needs. Venous thromboembolism (VTE) prophylaxis is a complex process that occurs throughout a patient's hospitalisation, presenting five stages with different levels of complexity: admission, interruption, re-initiation, initiation, and transfer. The objective of our study is to understand how the VTE prophylaxis team adapts as the complexity in the process changes; we do this by using social network analysis (SNA) measures. We interviewed 45 clinicians representing 9 different cases, creating 43 role networks. The role networks were analysed using SNA measures to understand team changes between low and high complexity stages. When comparing low and high complexity stages, we found two team adaptation mechanisms: (1) relative increase in the number of people, team activities, and interactions within the team, or (2) relative increase in discussion among the team, reflected by an increase in reciprocity. Practitioner Summary: The reason for this study was to quantify team adaptation to complexity in a process using social network analysis (SNA). The VTE prophylaxis team adapted to complexity by two different mechanisms, by increasing the roles, activities, and interactions among the team or by increasing the two-way communication and discussion throughout the team. We demonstrated the ability for SNA to identify adaptation within a team.

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.

In this article, the authors describe a collaborative usability evaluation (CUE) model based on a participatory ergonomics framework. The model was applied to an organization’s health IT design and implementation processes. Individuals received education on usability evaluation principles and methods and had an opportunity for hands-on experience with usability testing. Actual usability evaluations increased participant confidence in their ability to independently design and lead such evaluations. The CUE model has since been applied to the organization’s iterative process of health IT design, has been institutionalized by the health IT department, and is integrated in its health IT implementation timelines.

In this paper we present preliminary findings that address the work system of physicians, nurses and environmental services workers and their ability to comply with one clinically accepted intervention associated with Clostridium difficile infection. Despite differences in their roles, responsibilities and focus related to management of patients with Clostridium difficile infection, numerous similarities exist in the type of work system considerations they must each face.

Healthcare systems are complex dynamic sociotechnical systems, in which groups of people (e.g., patients and families, clinicians) interact with different technologies (e.g., clinical decision support system, consumer health information technology) in various physical (e.g., hospital, patient home) and organizational (e.g., teamwork, culture) environments (Carayon et al., 2006; Effken, 2002; Kleiner, 2007). The complex and dynamic nature of healthcare systems results in their boundaries being increasingly fuzzy (Carayon et al., 2011; Plsek & Greenhalgh, 2001). People are no longer constrained to work in single local work systems. Instead, they work in teams across different system boundaries, including organizational, hierarchical, cultural, spatial, temporal, and process boundaries (Carayon, 2006; Karsh & Alper, 2005). New conceptualizations of healthcare system boundaries are needed to take into consideration the characteristics of complex sociotechnical systems (Carayon et al., 2015). We convene this panel to address the general question of how to conceptualize sociotechnical system boundaries in healthcare. Five panelists present examples from their respective research to illustrate the conceptualization of sociotechnical system boundaries in different healthcare domains.

Multidisciplinary rounds (MDRs) are an important form of team-based process in health care. Team members coordinate patient care and make decisions on care plans jointly. Health IT used during MDRs should be designed to facilitate the team interactions given the specific context or work system where MDRs occur. This study examines and compares team interactions and health IT use in three hospital services (contexts): hospitalist, cardiology and critical care. There were few differences in team interactions and health IT use across services. However, health IT use was different for different rounding tasks and team members. Therefore, health IT should be designed to support team interactions and users’ needs during MDRs in different contexts.

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.

Intensive care units (ICUs) are complex environments, which rely on teams in order to coordinate patient care. Venous thromboembolism (VTE), which includes deep vein thrombosis (DVT) and pulmonary embolism (PE), is a major concern for ICU patients, who are frequently immobile. VTE prophylaxis (prevention) occurs throughout different stages of a patient’s stay in the ICU, which range in levels of complexity. The objective of this study is to use social network analysis to understand team adaptation in response to different levels of complexity in the VTE prophylaxis process. The more complex stages of VTE prophylaxis involve more people, more team activities, more team interactions, and more two-way communication compared to the less complex stages. Social network analysis can be used to understand team adaptation to these different levels of complexity in a patient’s ICU care.

BACKGROUND Implementation guides and toolkits have become a common tool developed to facilitate implementation of evidence-based infection prevention and control practices. Unlike published professional guidelines and formal literature reviews, the methods used to develop these guides and toolkits are not detailed in these documents. Although some guidance is available for the design of these documents, little is known about the methodology used in their development and subsequent evaluation of implementation effectiveness. METHODS An implementation pilot of chlorhexidine gluconate (CHG) bathing in nonICU settings was conducted between October 2015 to September 2018 in four VA facilities across the U.S. Toolkit development was a deliverable desirable by the funding agency to facilitate translation of this evidence-based practice into real-world settings. A human factors engineering framework was applied to direct toolkit development for this infection prevention and control evidence-based practice of CHG bathing treatments to reduce multidrug-resistant HAIs. We conducted nine end-user evaluations to ensure acceptability and usability of the toolkit; evaluations were performed using an 11-question survey of a modified version of the System Usability Scale (SUS). RESULTS We had a 67% response rate on the SUS survey. The use of a human factors engineering framework resulted in high acceptability and usability ratings with a score of 83.75, compared to an average score of 68. The toolkit, “Chlorhexidine Bathing Treatment: A Toolkit to Guide Implementation” will be available online in 2019. CONCLUSIONS Implementation guides and toolkits are commonly developed by, and for, infection preventionists to facilitate translation of evidence into practice. We provide an exemplar using a human-centric framework for consideration to future guide and toolkit development. Detailing methodologies used during toolkit development may enhance standardization, usability, ongoing evaluation of effectiveness, and future refinement

Background Clostridium difficile infection (CDI) is a critical patient safety issue. Consistent and regular performance of appropriate practices is effective in preventing CDI. Variation in adherence to these practices can impede their effective implementation and weaken CDI prevention. Methods Using the Systems Engineering Initiative for Patient Safety (SEIPS) framework we convened a focus group of 10 nurses to identify barriers and facilitators to compliance with a CDI prevention bundle that includes (1) prompt diagnostic testing, (2) empirical isolation for patients with suspected CDI, (3) consistent and appropriate contact isolation, (4) hand hygiene, and (5) disinfection of the patient room and objects in the room. On completion of transcript coding, analyses were performed based on bundle intervention and the work system element of the SEIPS model. Results A total of 58 excerpts were coded. Work system barriers or facilitators were associated with nearly every bundle intervention. The work system elements raised in over half of the excerpts were task (n = 31) (eg, amount of additional effort required to don and doff gloves and gowns) and organization (n = 30) (eg, recognition by all staff of the severity of CDI). Contact isolation was the most frequently discussed bundle intervention (n = 24). Conclusions The SEIPS systems engineering framework is useful to evaluate infection prevention practices for CDI and identify opportunities for improvement. Addressing the work system barriers and facilitators identified in this study is essential to effective implementation of infection prevention interventions, specifically for CDI.

Care coordination is important for chronically ill patients who need assistance from a variety of care professionals, and often transition through different care settings. This paper provides an overview of coordination and its implications for the care of chronically ill patients. Using 12 interviews of different healthcare professionals involved in coordinating care of chronically ill patients, we provide examples of care coordination situations (e.g., patient discharged home with home health services) and identify coordination activities (e.g., communication for arranging resources, building relationships to facilitate information exchange, monitoring patients to plan follow up care) performed by different healthcare professionals.

To maintain and improve their health, patients perform many non-paid activities that may be conceptualized as self-care and self-management work. However, within the domain of health care, macroergonomists have almost exclusively focused on analyzing the work and work systems of those employed by the health care system rather than those served by it. This panel will focus on how macroergonomics principles and models originally developed within an institutional context may be adapted for the contexts in which patients are embedded. The discussion will be grounded in specific analyses of patients’ work and work systems within domains such as consumer health information technology design, self-care work performance, transitions of care, and patient safety. During each of these presentations, panelists will focus on lessons related to the conceptual, methodological and practice-related challenges of understanding and affecting patients’ work and work systems that may be applied by other researchers.

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.

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.

The system of healthcare delivery across the world is in great need of redesign. The 1999 report by the Institute of Medicine raised the issue of patient safety to the forefront of the public, policy makers, and healthcare leaders (Kohn et al. 1999). Citing data from studies conducted in the United States, the report indicated that between 44,000 and 98,000 American hospital patients were dying from preventable medical errors every year. Other studies, for instance in the United States (Rothschild et al. 2005), Canada (Baker et al. 2004), the United Kingdom (Vincent et al. 2008), and the Netherlands (van den Bemt et al. 2002), have continued to demonstrate the significance and extent of patient safety problems. The World Health Organization has also taken on the issue of patient safety by creating the World Alliance for Patient Safety (http://www.who.int/patientsafety/en/). The World Alliance for Patient Safety has focused its initiatives on surgical safety (see, e.g., the results of an international study looking at the effectiveness of surgical checklists by Haynes et al. [2009]) and hand hygiene. The system of healthcare delivery experiences many other problems, in addition to patient safety. Working conditions for healthcare professionals and workers are often sources of stress, burnout, and dissatisfaction. For instance, the following problematic working conditions of nurses have been highlighted by the IOM (Institute of Medicine Committee on the Work Environment for Nurses and Patient Safety 2004): high demands (e.g., demands for documentation), poorly designed physical space, stressful work schedules, and interruptions and distractions. Improvements in working conditions are also necessary for many other healthcare job categories, as demonstrated, for example, by job dissatisfaction, stress, and burnout experienced by physicians (McMurray et al. 1999; Wetterneck et al. 2002). Poor work conditions can contribute to negative outcomes for healthcare organizations, such as high turnover and injuries (Cohen-Mansfield 1997). Healthcare providers may experience a range of negative feelings and emotions, and suffer from health problems and injuries when their work is not ergonomically designed (Stubbs et al. 1983; Linzer et al. 2000). Patients and their families may be indirectly affected by poor design of the work environment in which care is provided to them (Agency for Healthcare Research and Quality 2002; Institute of Medicine Committee on the Work Environment for Nurses and Patient Safety 2004). A recent study shows a clear relationship between work schedules of nurses and patient outcomes, such as pneumonia deaths (Trinkoff et al. 2011). Concerns about the work schedules for medical residents have also been expressed for both patient safety and the safety and well-being 5

While care managers use multiple health IT applications to coordinate patient care across transitions of care, they experience challenges posed by these multiple health IT applications. We used a macroergonomic framework (i.e. the work system model), and conducted interviews and observations of care managers (inpatient, outpatient, transition of care) and a web-based survey to assess these challenges. The challenges were related to the care managers’ work system: technologies and tools (e.g., poor interface design of health IT), organization (e.g., no access to some health IT applications), and tasks (e.g., duplicate documentation). Care managers consider the following as major barriers: transferring patient-related information between multiple applications, finding correct information for medication reconciliation and other patient information (e.g., patient’s psychosocial background), and duplicate documentation and data entry. The next phase of the research focuses on how care managers deal with challenges posed by multiple health IT applications to perform their job of coordinating patient care across transitions of care.

Implementing large-scale complex health IT projects poses significant challenges to organizations. This paper discusses one Office of the National Coordinator for Health IT Beacon project aimed at implementing an IT-mediated care coordination model across multiple care settings in multiple communities. We posit that using participatory ergonomic methods to collect and promptly report findings to the project management team provides significant impetus for organizational learning and increases the likelihood of success of this large-scale health IT implementation project. We describe how we involve management team members in the ongoing regular evaluation of the project through short monthly Web-based surveys and semi-annual individual interviews. The goal of this process is to promote organizational learning and impact the success of this and future complex large-scale projects.

"Smart" intravenous infusion pumps (Smart IV pumps) are increasingly being implemented in hospitals to reduce medication administration errors.This study examines nurses' experience with the implementation and use of a Smart IV pump in an academic hospital.Data were collected in three longitudinal surveys: (a) a pre-implementation survey, (b) a 6-week-post-implementation survey, and (c) a 1-year-post-implementation survey. We examined: (a) the technology implementation process, (b) technical performance of the pump, (c) usability of the pump, and (d) user acceptance of the pump.Initially, nurses had a somewhat positive acceptance of the Smart IV pump technology that significantly increased one year after implementation. User experiences associated with the pump in general improved over time, especially perceptions of pump efficiency. However, user experience with the pump implementation process and pump technical performance did not consistently improve from the pre-implementation survey to the post-implementation survey. Several characteristics of pump technical performance and usability influenced user acceptance at the one-year post-implementation survey.These data may be useful for other institutions to guide implementation and post-implementation follow-up of IV pump use; other institutions could use the survey instrument from this study to evaluate nurses' perceptions of the technology. Our study identified several characteristics of the implementation process that other institutions may need to pay attention to (e.g., sharing information about the implementation process with nurses).

Failure mode and effects analysis (FMEA) is a commonly used prospective risk assessment approach in health care. Failure mode and effects analyses are time consuming and resource intensive, and team performance is crucial for FMEA success. We evaluate FMEA team members' perceptions of FMEA team performance to provide recommendations to improve the FMEA process in health care organizations.: Structured interviews and survey questionnaires were administered to team members of 2 FMEA teams at a Midwest Hospital to evaluate team member perceptions of FMEA team performance and factors influencing team performance. Interview transcripts underwent content analysis, and descriptive statistics were performed on questionnaire results to identify and quantify FMEA team performance. Theme-based nodes were categorized using the input-process-outcome model for team performance.: Twenty-eight interviews and questionnaires were completed by 24 team members. Four persons participated on both teams. There were significant differences between the 2 teams regarding perceptions of team functioning and overall team effectiveness that are explained by difference in team inputs and process (e.g., leadership/facilitation, team objectives, attendance of process owners).: Evaluation of team members' perceptions of team functioning produced useful insights that can be used to model future team functioning. Guidelines for FMEA team success are provided.

Patient care transitions have been shown to be critical points at which failure as well as recovery from potential failure may occur. The purpose of this research was to identify transitions in patient care and the flow of associated information at different steps in the outpatient surgery preoperative care process and, in turn, attempt to identify breakdowns in the information flow process and their ramifications. A study of one organization’s preoperative process for outpatient surgery was conducted, employing four means of data collection to gather information on preoperative work processes: employee shadowing, patient shadowing, clinic observation, and dictated feedback. Various facilitators and obstacles in information flow were found to be present in the preoperative care process. Obstacles often resulted in negative consequences for healthcare providers and patients. Helping care providers understand how their actions affect the various elements of the preoperative process, through improved awareness, may be one way to improve information flow problems within the outpatient surgery process.

Objectives:This study explores nurses' use of bar code medication administration (BCMA) technology from a human factors viewpoint. The BCMA technology consists of a medication network server and handheld devices that connect to medication administration record data through wireless radiofrequency li

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.