12 hours ago Advancing Measurement of Patient Safety Culture. Address correspondence to Liane R. Ginsburg, Ph.D., Associate Professor, School of Health Policy and Management, Faculty of Health, York University, HNES Building 413, 4700 Keele Street, Toronto, ON, Canada M3J 1P3; e … >> Go To The Portal
Safety culture is a prevalent construct in industrial safety management and arguably one of the most important developments in industrial safety in recent history. This paper aims to provide insight into how an undefined term coined in 1986 has become a major area of collaborative research. This paper also intends to discuss how the construct of safety culture is a positive example of collaborative research and knowledge translation. A literature search was conducted to identify all peer‐reviewed journal articles that included the term “safety culture” in the title in the database. The relevant publications are compared with the use of safety culture by industry and governments to illustrate the intertwined relationship between research and practice. An initial literature search yielded 1,253 article findings. After refining search results, 420 relevant peer‐reviewed articles from 1986 until 2016 remained. Safety culture research has been conducted in response to industry interest in the concept. This industry interest has not only resulted in excellent knowledge translation but also may have contributed to the fragmentation of the research area.
Background: Patient safety is one of the main components of the health care services quality that implies avoidance of any harm or damage to the patient during the delivery of health care. The purpose of this study was to determine the patient safety culture from the view point of nurses in the hospitals of Guilan province in 2016. Methods: This cross-sectional study was done on 400 nurses from the nurse community in Guilan province, Iran in 2016. The sampling was performed as the two-stage cluster sampling method. Data were collected using a modified questionnaire based on the Hospital Survey on Patient Safety Culture (HSOPSC). Data were presented with descriptive statistics analysis using in SPSS-14. The significant level was considered less than 0.05. Results: Most of the nurses were female (89%), with a mean age of 34.28±6.86 years. The most response to the items was related to “Please give your work area/unit in this hospital an overall grade on patient safety” that was the acceptable option (47.5%). The mean score of the patient safety was 3.28 ±0.86. Conclusions: The results showed two dimensions including staffing and teamwork within units. Feedback and communication about errors were the most important dimensions of the patient safety culture. Accordingly, it should be noted that paying more attention to the patient safety culture can lead to improve hospital condition levels.
The purpose of this study was to explore Zohar’s Multi-Climate Framework for Occupational Safety to determine the effects of staff nurse perceptions of safety priorities in their organization (safety climate) and their work ownership climate (Magnet Hospital designation) on safety citizenship behaviors viewed as in role or extra role. Safety citizenship behaviors are described as behaviors that go beyond the job description to ensure safety. Participants from a convenience sample of three Magnet designated community hospitals in New England completed three scales (Zohar’s Safety Climate Questionnaire, Essentials of Magnetism II and the Safety Citizenship Role Definitions Scale) representing the study variables via an online survey platform. Multivariate analysis of covariance informed the results. Findings include a positive unadjusted relationship between safety climate and work ownership climate (rs=.492, p
E-health has widely revolutionized medicine, creating subspecialties that include medical image technology, computer aided surgery, and minimal invasive interventions. New diagnostic approaches, treatment, prevention of diseases, and rehabilitation seem to speed up the continual pattern of innovation, clinical implementation and evaluation up to industrial commercialization. The advancement of e-health in healthcare derives large quality and patient safety benefits. Advances in genomics, proteomics, and pharmaceuticals introduce new methods for unraveling the complex biochemical processes inside cells. Data mining detects patterns in data samples, and molecular imaging unites molecular biology and in vivo imaging. At the same time, the field of microminiaturization enables biotechnologists to start packing their bulky sensing tools and medical simulation bridges the learning divide by representing certain key characteristics of a physical system.
Clinical pathway is an approach to standardise care processes to support the implementations of clinical guidelines and protocols. It is designed to support the management of treatment processes including clinical and non-clinical activities, resources and also financial aspects. It provides detailed guidance for each stage in the management of a patient with the aim of improving the continuity and coordination of care across different disciplines and sectors. However, in the practical treatment process, the lack of knowledge sharing and information accuracy of paper-based clinical pathways burden health-care staff with a large amount of paper work. This will often result in medical errors, inefficient treatment process and thus poor quality medical services. This paper first presents a theoretical underpinning and a co-design research methodology for integrated pathway management by drawing input from organisational semiotics. An approach to integrated clinical pathway management is then proposed, which aims to embed pathway knowledge into treatment processes and existing hospital information systems. The capability of this approach has been demonstrated through the case study in one of the largest hospitals in China. The outcome reveals that medical quality can be improved significantly by the classified clinical pathway knowledge and seamless integration with hospital information systems.
Population health patterns alter the disease burden, while a higher level of education and increased availability of information raise expectations of healthcare delivery. Therefore, changes in healthcare delivery have become so widespread and numerous that the idea of e-health has become one of excitement and prediction rather than intervention. On the other hand, the endorsement e-health is spreading slowly. Few companies focus on population-oriented e-health tools partly because of perceptions about the viability and capacity of the market. Moreover, developers of e-health resources are a highly diverse group with differing skills and resources while a common problem for developers is finding the balance between risk and outcome. On the other hand, e-health presents risks to patient health information that involve not only appropriate protocols but also laws, regulations, and appropriate safety culture. Breaches of network security and international viruses have elevated the public awareness of online information and computer security, although the overwhelming majority of security breaches do not directly involve health-related data. Finally, as we believe in the implications of the genetic components of disease, we expect a significant increase in the genetic information of clinical records. The future vision is mobile-personalized e-health in a patient centered and patient safety context.
Purpose The assessment of patient safety culture (PSC) is a major priority for healthcare providers. It is often realized using quantitative approaches (questionnaires) separately from qualitative ones (patient safety culture maturity model (PSCMM)). These approaches suffer from certain major limits. Therefore, the aim of the present study is to overcome these limits and to propose a novel approach to PSC assessment. Design/methodology/approach The proposed approach consists of evaluating PSC in a set of healthcare establishments (HEs) using the HSOPSC questionnaire. After that, principal component analysis (PCA) and K-means algorithm were applied on PSC dimensional scores in order to aggregate them into macro dimensions. The latter were used to overcome the limits of PSC dimensional assessment and to propose a quantitative PSCMM. Findings PSC dimensions are grouped into three macro dimensions. Their capitalization permits their association with safety actors related to PSC promotion. Consequently, a quantitative PSC maturity matrix was proposed. Problematic PSC dimensions for the studied HEs are “Non-punitive response to error”, “Staffing”, “Communication openness”. Their PSC maturity level was found underdeveloped due to a managerial style that favors a “blame culture”. Originality/value A combined quali-quantitative assessment framework for PSC was proposed in the present study as recommended by a number of researchers but, to the best of our knowledge, few or no studies were devoted to it. The results can be projected for improvement and accreditation purposes, where different PSC stakeholders can be implicated as suggested by international standards.