Ben-Tzion Karsh

Work system design for patient safety: the SEIPS model

Models and methods of work system design need to be developed and implemented to advance research in and design for patient safety. In this paper we describe how the Systems Engineering Initiative for Patient Safety (SEIPS) model of work system and patient safety, which provides a framework for understanding the structures, processes and outcomes in health care and their relationships, can be used toward these ends. An application of the SEIPS model in one particular care setting (outpatient surgery) is presented and other practical and research applications of the model are described.

A Systematic Review of Patient Acceptance of Consumer Health Information Technology

A systematic literature review was performed to identify variables promoting consumer health information technology (CHIT) acceptance among patients. The electronic bibliographic databases Web of Science, Business Source Elite, CINAHL, Communication and Mass Media Complete, MEDLINE, PsycArticles, and PsycInfo were searched. A cited reference search of articles meeting the inclusion criteria was also conducted to reduce misses. Fifty-two articles met the selection criteria. Among them, 94 different variables were tested for associations with acceptance. Most of those tested (71%) were patient factors, including sociodemographic characteristics, health- and treatment-related variables, and prior experience or exposure to computer/health technology. Only ten variables were related to human-technology interaction; 16 were organizational factors; and one was related to the environment. In total, 62 (66%) were found to predict acceptance in at least one study. Existing literature focused largely on patient-related factors. No studies examined the impact of social and task factors on acceptance, and few tested the effects of organizational or environmental factors on acceptance. Future research guided by technology acceptance theories should fill those gaps to improve our understanding of patient CHIT acceptance, which in turn could lead to better CHIT design and implementation.

Beyond usability: designing effective technology implementation systems to promote patient safety

Evidence is emerging that certain technologies such as computerized provider order entry may reduce the likelihood of patient harm. However, many technologies that should reduce medical errors have been abandoned because of problems with their design, their impact on workflow, and general dissatisfaction with them by end users. Patient safety researchers have therefore looked to human factors engineering for guidance on how to design technologies to be usable (easy to use) and useful (improving job performance, efficiency, and/or quality). While this is a necessary step towards improving the likelihood of end user satisfaction, it is still not sufficient. Human factors engineering research has shown that the manner in which technologies are implemented also needs to be designed carefully if benefits are to be realized. This paper reviews the theoretical knowledge on what leads to successful technology implementation and how this can be translated into specifically designed processes for successful technology change. The literature on diffusion of innovations, technology acceptance, organisational justice, participative decision making, and organisational change is reviewed and strategies for promoting successful implementation are provided. Given the rapid and ever increasing pace of technology implementation in health care, it is critical for the science of technology implementation to be understood and incorporated into efforts to improve patient safety.

Health information technology: fallacies and sober realities

Current research suggests that the rate of adoption of health information technology (HIT) is low, and that HIT may not have the touted beneficial effects on quality of care or costs. The twin issues of the failure of HIT adoption and of HIT efficacy stem primarily from a series of fallacies about HIT. We discuss 12 HIT fallacies and their implications for design and implementation. These fallacies must be understood and addressed for HIT to yield better results. Foundational cognitive and human factors engineering research and development are essential to better inform HIT development, deployment, and use.

Interruptions and distractions in healthcare: review and reappraisal

Objectives To systematically review the peer-reviewed literature on interruptions in healthcare settings to determine the state of the science and to identify the gaps in research. Methods Inclusion criteria were determined, and the online databases PubMed and Web of Knowledge-CrossSearch were searched. Results Thirty-three papers were reviewed. Several important findings were identified: (1) interruptions occur frequently in all healthcare settings, (2) an important gap exists: only seven studies examined outcomes related to interruptions, (3) interruptions in healthcare have only been studied from the viewpoint of the person being interrupted and (4) few studies explicitly or implicitly examined the cognitive implications of interruptions. Conclusions The high frequency of interruptions coupled with information content may simply be indicative of the high need for constant communication and coordination in healthcare. Many interruptions may be necessary for safe, high-quality care; thus, trying to eliminate all interruptions is unwise. That said, there may be situations, such as during high-risk procedures, when limiting interruptions may be warranted. Taking a complex sociotechnical systems approach will help researchers view interruptions more holistically and will result in more comprehensive studies that take into account the complexity of interruptions and the many variables in healthcare settings.

Job and organizational determinants of nursing home employee commitment, job satisfaction and intent to turnover

The purpose of this study was to examine whether job characteristics, the work environment, participation in quality improvement activities and facility quality improvement environment predicted employee commitment and job satisfaction in nursing homes, and whether those same predictors and commitment and satisfaction predicted turnover intention. A total of 6584 nursing home employees from 76 nursing homes in a midwestern state participated. A self-administered questionnaire was used to collect the data. The results supported the hypotheses that job and organizational factors predicted commitment and satisfaction while commitment and satisfaction predicted turnover intentions. The implications for retaining nursing home employees are discussed.

A systematic review of safety violations in industry

It is widely known that intentional non-malevolent violations of safety procedures and norms occur and evidence shows that safety violations can increase the risk of accidents. However, little research about the causes of these violations in work settings exists. To help shed light on the causes, this paper systematically reviews the empirical causes of safety violations in industry. Electronic database literature searches were performed to identify relevant articles published prior to January 1, 2007. Thirteen articles met the inclusion criteria and 57 different variables were examined as predictors of safety violations. Study settings were healthcare delivery, commercial driving, aviation, mining, railroad, and construction. The predictors were categorized into individual characteristics, information/education/training, design to support worker needs, safety climate, competing goals, and problems with rules. None of the reviewed studies examined whether violations can improve system performance or safety. Methodological suggestions and a macroergonomic framework are offered for improving future studies of the epidemiology of safety violations.

The science of human factors: separating fact from fiction

Background Interest in human factors has increased across healthcare communities and institutions as the value of human centred design in healthcare becomes increasingly clear. However, as human factors is becoming more prominent, there is growing evidence of confusion about human factors science, both anecdotally and in scientific literature. Some of the misconceptions about human factors may inadvertently create missed opportunities for healthcare improvement. Methods The objective of this article is to describe the scientific discipline of human factors and provide common ground for partnerships between healthcare and human factors communities. Results The primary goal of human factors science is to promote efficiency, safety and effectiveness by improving the design of technologies, processes and work systems. As described in this article, human factors also provides insight on when training is likely (or unlikely) to be effective for improving patient safety. Finally, we outline human factors specialty areas that may be particularly relevant for improving healthcare delivery and provide examples to demonstrate their value. Conclusions The human factors concepts presented in this article may foster interdisciplinary collaborations to yield new, sustainable solutions for healthcare quality and patient safety.

A theoretical model of health information technology usage behaviour with implications for patient safety

Primary objective: Much research and practice related to the design and implementation of information technology in health care has been atheoretical. It is argued that using extant theory to develop testable models of health information technology (HIT) benefits both research and practice. Methods and procedures: several theories of motivation, decision making, and technology acceptance are reviewed and associated theory-based principles of HIT usage behaviour are produced. Main outcomes and results: the case of medical error reporting technology is used to support the validity of the proposed HIT usage behaviour principles. Further, combining these principles produces a testable, theoretical multilevel model of HIT usage behaviour. The model provides an alternative to atheoretical research and practice related to HIT. Conclusions: developing, testing, and revising models of HIT like the one presented here is suggested to be beneficial to researchers and practitioners alike.

Information Chaos in Primary Care: Implications for Physician Performance and Patient Safety

Purpose: The purpose of this article is to explore the concept of information chaos as it applies to the issues of patient safety and physician workload in primary care and to propose a research agenda. Methods: We use a human factors engineering perspective to discuss the concept of information chaos in primary care and explore implications for its impact on physician performance and patient safety. Results: Information chaos is comprised of various combinations of information overload, information underload, information scatter, information conflict, and erroneous information. We provide a framework for understanding information chaos, its impact on physician mental workload and situation awareness, and its consequences, and we discuss possible solutions and suggest a research agenda that may lead to methods to reduce the problem. Conclusions: Information chaos is experienced routinely by primary care physicians. This is not just inconvenient, annoying, and frustrating; it has implications for physician performance and patient safety. Additional research is needed to define methods to measure and eventually reduce information chaos.