Concepts of Transdisciplinary Engineering: A Transdisciplinary Landscape

The term ‘transdisciplinary’ is receiving increased attention within engineering academic and research funding communities. We survey authors of papers presented at the 27th ISTE International Transdisciplinary Engineering Conference (TE2020) to answer two research questions: 1) How do authors define transdisciplinary engineering? 2) What do authors perceive differentiates interdisciplinary engineering research from transdisciplinary engineering research? Responses from thirty-four participants (50%), are qualitatively analysed. Results show that for the three characteristics commonly used in characterisations of transdisciplinarity (goal, collaboration and integration), multiple concepts exist. These range from generic expressions which overlap with how interdisciplinarity is defined within the general literature, to stronger, more definitive expressions. Conclusions find that rather than a single definition a transdisciplinary landscape exists. To enable users to define where they sit in the transdisciplinary landscape, we create a framework enabling users to map their position under the three key characteristics of goal, collaboration and integration

Concepts of Transdisciplinary Engineering: A Transdisciplinary Landscape

The term 'transdisciplinary' is receiving increased attention within engineering academic and research funding communities. We survey authors of papers presented at the 27th ISTE International Transdisciplinary Engineering Conference (TE2020) to answer two research questions: 1) How do authors define transdisciplinary engineering? 2) What do authors perceive differentiates interdisciplinary engineering research from transdisciplinary engineering research? Responses from thirty-four participants (50%), are qualitatively analysed. Results show that for the three characteristics commonly used in characterisations of transdisciplinarity (goal, collaboration and integration), multiple concepts exist. These range from generic expressions which overlap with how interdisciplinarity is defined within the general literature, to stronger, more definitive expressions. Conclusions find that rather than a single definition a transdisciplinary landscape exists. To enable users to define where they sit in the transdisciplinary landscape, we create a framework enabling users to map their position under the three key characteristics of goal, collaboration and integration.</p

The extent of problematic alcohol and other drug use within selected South African workplaces

BACKGROUND: The use of alcohol and other drugs (AODs) in the workplace has a major impact on the health and productivity of the workforce globally. Yet information on this issue is limited in South Africa (SA). OBJECTIVE: To describe the nature and extent of AOD problems in selected workplace settings in SA. METHODS: Secondary data analysis was conducted on a large dataset compiled by an Employee Assistance Programme (EAP) service provider in SA. As part of an EAP risk audit, assessments for AOD-related problems were completed for each employee accessing EAP services (n=10 428) between 2005 and 2011. Data on the socio-demographic profiles, AOD use and impact of AOD use on the work performance of employees were analysed. RESULTS: Findings indicate that employed men are more likely to experience alcohol-related problems than women, the latter demonstrating a higher percentage of drug-related problems. The majority of referrals to the EAPs emanate from the public, industrial and financial sectors. AOD-related problems were also found to significantly impact on employee work performance. CONCLUSIONS: The study begins to address the knowledge gap on the extent of AOD use in SA workplaces and points to the need for further investigations into the exact nature of AOD use. In addition, the study highlights the need for intervention programmes and policies suited to the workplace

the Bad, and the Ugly: Using Experiential Learning in the Classroom Page 68

Abstract Academic experiences designed to promote active learning can be thrilling and memorable educational opportunities for students and their instructors. Unfortunately, they can also be miserable failures for students lacking necessary skills and motivation, and for instructors lacking necessary resources and support. This paper describes two active learning projects, both successful in many ways, and draws from them observations and lessons on the failings of active education for some students, and the burdens placed on instructors

Transdisciplinarity Within the Academic Engineering Literature

Despite increased discourse around transdisciplinary (TD) research, there is a perception it has received less attention within engineering. This is significant if, as generally accepted, TD increases the societal value of research. This paper benchmarks TD engineering research against the broader TD literature, addressing the question: How do the characteristics of the academic engineering TD literature compare to the TD academic literature in general? We analyse the chronology, journals, and text of papers referencing TD within their abstract and compare this to papers that fall within the engineering subject area. The conclusions find that TD research is limited generally, and within engineering specifically. Historically, TD research focuses on sustainability challenges, a persistent trend within the general literature. Within engineering research, the focus of TD is wider and addresses operational and “grand challenge” problems. TD remains poorly defined and future work should focus on clarifying meaning within the engineering discipline

Cutting cost in service systems: are you running with scissors?

A rigorous link between the domains of cost estimation, systems theory, and accident investigation reveals fundamental epistemological limitations of commonly employed cost models when dealing with the characteristics of servitization systems

What factors affect implementation of early rehabilitation into intensive care unit practice? A qualitative study with clinicians

Purpose To identify the barriers and enablers that influence clinicians' implementation of early rehabilitation in critical care. Materials and methods Qualitative study involving 26 multidisciplinary participants who were recruited using purposive sampling. Four focus groups were conducted using semistructured questions to explore attitudes, beliefs, and experiences. Data were transcribed verbatim and thematic analysis was performed. Results Six themes emerged, as follows: (1) the clinicians' expectations and knowledge (including rationale for rehabilitation, perceived benefits, and experience), (2) the evidence for and application of rehabilitation (including beliefs regarding when to intervene), (3) patient factors (including prognosis, sedation, delirium, cooperation, motivation, goals, and family), (4) safety considerations (including physiological stability and presence of devices or lines), (5) environmental influences (staffing, resources, equipment, time, and competing priorities), and (6) culture and teamwork. Key strategies identified to facilitate rehabilitation included addressing educational needs for all multidisciplinary team members, supporting junior nursing staff, and potential expansion of physiotherapy staffing hours to closer align with the 24-hour patient care model. Conclusions Key barriers to implementation of early rehabilitation in critical care are diverse and include both clinician- and health care system–related factors. Research targeted at bridging this evidence-practice gap is required to improve provision of rehabilitation. © 2016 Elsevier Inc

Escherichia coli O157 Infection and Secondary Spread, Scotland, 1999–2008

To determine the proportion of Escherichia coli O157 cases in Scotland attributable to secondary spread, we analyzed data obtained through entire-population enhanced surveillance. We identified 11% of cases as secondary. Secondary cases in single households were younger than secondary cases in outbreaks affecting >1 household and had similar risk for hemolytic uremic syndrome

Development and validation of an electronic frailty index using routine primary care electronic health record data

Background: frailty is an especially problematic expression of population ageing. International guidelines recommend routine identification of frailty to provide evidence-based treatment, but currently available tools require additional resource. Objectives: to develop and validate an electronic frailty index (eFI) using routinely available primary care electronic health record data. Study design and setting: retrospective cohort study. Development and internal validation cohorts were established using a randomly split sample of the ResearchOne primary care database. External validation cohort established using THIN database. Participants: patients aged 65–95, registered with a ResearchOne or THIN practice on 14 October 2008. Predictors: we constructed the eFI using the cumulative deficit frailty model as our theoretical framework. The eFI score is calculated by the presence or absence of individual deficits as a proportion of the total possible. Categories of fit, mild, moderate and severe frailty were defined using population quartiles. Outcomes: outcomes were 1-, 3- and 5-year mortality, hospitalisation and nursing home admission. Statistical analysis: hazard ratios (HRs) were estimated using bivariate and multivariate Cox regression analyses. Discrimination was assessed using receiver operating characteristic (ROC) curves. Calibration was assessed using pseudo-R2 estimates. Results: we include data from a total of 931,541 patients. The eFI incorporates 36 deficits constructed using 2,171 CTV3 codes. One-year adjusted HR for mortality was 1.92 (95% CI 1.81–2.04) for mild frailty, 3.10 (95% CI 2.91–3.31) for moderate frailty and 4.52 (95% CI 4.16–4.91) for severe frailty. Corresponding estimates for hospitalisation were 1.93 (95% CI 1.86–2.01), 3.04 (95% CI 2.90–3.19) and 4.73 (95% CI 4.43–5.06) and for nursing home admission were 1.89 (95% CI 1.63–2.15), 3.19 (95% CI 2.73–3.73) and 4.76 (95% CI 3.92–5.77), with good to moderate discrimination but low calibration estimates. Conclusions: the eFI uses routine data to identify older people with mild, moderate and severe frailty, with robust predictive validity for outcomes of mortality, hospitalisation and nursing home admission. Routine implementation of the eFI could enable delivery of evidence-based interventions to improve outcomes for this vulnerable group