SPARC 2021 - Against all odds : Salford postgraduate annual research conference book of abstracts

Welcome to the Book of Abstracts for the 2021 SPARC conference. Our conference is called “Against All Odds” as we celebrate the achievements of our PGRs and their supervisors, who have continued to excel despite the most challenging circumstances. For this reason, we showcase the work of our PGRs alongside the outstanding supervision that they receive, with our Doctoral School Best Supervisor awards. We also focus on developing resilience and maintaining good mental health in the research environment, supported by exceptional keynote speakers, including our very own Dr Michelle Howarth and Ruby Wax OBE, which makes this year’s conference extra special

Incipient weathering of granite-gneiss and soil development in Southwestern Nigeria

No Abstract

Effect of traffic density on heavy metal content of soil and vegetation along roadsides in Osun state, Nigeria

No Abstract

Exploring the Translational Impact of a Home Telemonitoring Intervention Using Time-Motion Study

Objective: Home telemonitoring improves clinical outcomes but can generate large amounts of data. Automating data surveillance with clinical decision support could reduce the impact of translating these systems to clinical settings. We utilized time-motion methodology to measure the time spent on activities monitoring subjects in the two groups of a home spirometry telemonitoring randomized controlled trial: the manual nurse review (control) group and the automated review (intervention) group. These results are examined for potential workflow effects that could occur when the intervention translates to a clinical setting. Materials and Methods: Time motion is an established industrial engineering technique used to evaluate workflow by measuring the time of predefined, discrete tasks. Data were collected via direct observation of two research nurses by a single observer using the repetitive or snap-back timing method. All observed tasks were coded using a list of work activities defined and validated in an earlier study. Reliability data were collected during a 2-h session with a secondary observer. Results: Reliability of the primary observer was established. During 35 h of data collection, a sample of 938 task observations were recorded and coded using 46 previously defined and 5 newly defined work activities. Between-group comparisons of activity time for subjects in the two study groups showed significantly more time spent on data review activities for the automated review group. Reclassification of the 51 observed activities identified 15 activities that would translate to a clinical setting, of which 5 represent potentially new activities. Conclusions: Implementing an intervention into a clinical setting could add work activities to the clinical workflow. Time-motion study of research personnel working with new clinical interventions provides a template for evaluating the workflow impact of these interventions prior to translation from a research to a clinical setting