Effect of internet of things on road freight industry

Abstract: Background: Evolution in global supply chain has created numerous complexities especially in the transportation of freight. Some of the complexities include ever increasing operational cost, long lead-times, limited end-to-end visibility and raw material supply disruptions because of adverse weather conditions. To improve processes and keep abreast of competition, it is vital for businesses to leverage their operations on current technologies. Internet of things (IoT) technology is one of the innovative technologies that can bring about radical transformations to freight transportation. Despite the promising capabilities of IoT, research on its application and effect on road freight sector in developing economies is scanty. Objectives: The purpose of this article is to establish the likely effect of IoT on the road freight sector. This article identifies IoT technologies used in road freight and establishes the relationship between the drivers and benefits of implementing IoT technologies. Method: Structured questionnaires were sent to employees working within the road freight industry within South Africa. The data were subjected to factor analysis for dimension reduction. Regression analysis helped to establish the relationship between drivers and benefits of IoT. Results: The benefits of IoT were operational effectiveness and improved decision making. The drivers of implementing IoT were identified as asset visibility and the need for real-time information sharing. The main effect of IoT on road freight sector is increased asset visibility. The challenges impeding implementation of IoT include high cost of installation, skills gap, fear of hacking and cyberattacks. Conclusion: Road freight transport managers are advised that IoT can be a strategic tool that uses smart sensor technologies that provide visibility of assets to reduce operational costs and improve decision making. The article contributes to logistics management literature by enumerating the IoT technologies used in the road freight sector in South Africa. It also highlights that IoT provides end-to-end visibility resulting in improved decision-making for optimal operations

Reducing patient delay with symptoms of acute coronary syndrome:a research protocol for a systematic review of previous interventions to investigate which behaviour change techniques are associated with effective interventions

Introduction: Delay to presentation with symptoms of acute coronary syndrome (ACS) is common meaning many fail to achieve optimal benefit from treatments. Interventions have had variable success in reducing delay. Evidence suggests inclusion of behaviour change techniques (BCTs) may improve effectiveness of interventions but this has not yet been systematically evaluated. Data from other time-critical conditions may be relevant.Methods and analysis: A systematic review will be undertaken to identify which BCTs are associated with effective interventions to reduce patient delay (or prompt rapid help-seeking) among people with time-critical conditions (eg, chest pain, ACS, lumps, stroke, cancer and meningitis). A systematic search of a wide range of databases (including Cochrane Library, MEDLINE, EMBASE, CINAHL, PsycInfo) and grey literature will be undertaken to identify all relevant intervention studies (randomised controlled trials, controlled clinical trials and cohort studies). Two independent reviewers will screen abstracts to identify relevant studies, apply inclusion criteria to full papers, assess methodological quality and extract data.Primary outcome measure: Change in patient decision time BCTs reported in each of the included studies will be categorised and presented according to the latest reliable taxonomy. Results of included studies will be synthesised, exploring relationships between inclusion of each BCT and effectiveness of the overall intervention. Where possible, means and SDs for differences in delay time will be calculated and combined within meta-analyses to derive a standardised mean difference and 95% CI. Analysis of (1) all time-critical and (2) ACS-only interventions will be undertaken

Reducing delay in patients with acute coronary syndrome and other time-critical conditions: a systematic review to identify the behaviour change techniques associated with effective interventions

Background: Time to treatment in many conditions, particularly acute coronary syndrome, is critical to reducing mortality. Delay between onset of symptoms and treatment remains a worldwide problem. Reducing patient delay has been particularly challenging. Embedding behaviour change techniques (BCTs) within interventions might lead to shorter delay.Objective: To identify which BCTs are associated with reductions in patient delay among people with symptoms or conditions where time to treatment is critical.Methods: The data sources were Cochrane Library, MEDLINE, EMBASE, Cumulative Index to Nursing and Allied Health Literature, and PsycINFO. Study eligibility criteria include intervention evaluations (randomised controlled trials, controlled clinical trials and cohort studies) involving adults (aged >18?years) and including an outcome measure of patient delay up to August 2016. Study appraisal and synthesis methods include screening potential studies using a transparent, replicable process. Study characteristics, outcomes and BCTs were extracted from eligible studies.Results: From 39 studies (200?538 participants), just over half (n=20) reported a significant reduction in delay. 19 BCTs were identified, plus 5 additional techniques, with a mean of 2 (SD=2.3) BCTs and 2 (SD=0.7) per intervention. No clear pattern between BCTs and effectiveness was found. In studies examining patient delay specifically, three of four studies that included two or more BCTs, in addition to the two most commonly used additional techniques, reported a significant reduction in delay.Conclusions: Around half of the interventions to reduce prehospital delay with time-critical symptoms report a significant reduction in delay time. It is not clear what differentiates effective from non-effective interventions, although in relation to patient delay particularly additional use of BCTs might be helpful

Reducing patient delay in Acute Coronary Syndrome (RAPiD): research protocol for a web-based randomized controlled trial examining the effect of a behaviour change intervention

AimsTo evaluate the efficacy of a behaviour change technique-based intervention and compare two possible modes of delivery (text+visual and text-only) with usual care.BackgroundPatient delay prevents many people from achieving optimal benefit of time-dependent treatments for Acute Coronary Syndrome. Reducing delay would reduce mortality and morbidity, but interventions to change behaviour have had mixed results. Systematic inclusion of behaviour change techniques or a visual mode of delivery might improve the efficacy of interventions.DesignA 3-arm web-based, parallel randomised controlled trial of a theory-based intervention.MethodsThe intervention comprises 12 behaviour change techniques systematically identified following systematic review and a consensus exercise undertaken with behaviour change experts. We aim to recruit n=177 participants who have experienced Acute Coronary Syndrome in the previous 6 months from a National Health Service Hospital. Consenting participants will be randomly allocated in equal numbers to one of three study groups: i) usual care ii) usual care plus text-only behaviour change technique-based intervention or iii) usual care plus text+visual behaviour change technique-based intervention. The primary outcome will be the change in intention to phone an ambulance immediately with symptoms of Acute Coronary Syndrome ?15 minutes duration, assessed using two randomised series of 8 scenarios representing varied symptoms before and after delivery of the interventions or control condition (usual care). Funding granted January 2014

Reducing patient delay in acute coronary syndrome: Randomized controlled trial testing effect of behaviour change intervention on intentions to seek help

ObjectivesThe aim of this study was to evaluate the efficacy of a behaviour change intervention to reduce patient delay with symptoms of acute coronary syndrome.DesignA 3-arm web-based, parallel randomized controlled trial.MethodsThe intervention comprised 12 behaviour change techniques (BCTs) embedded in a text-only or text+visual narrative (the techniques were systematically identified through systematic review and a consensus exercise). Between February and November 2017, n = 145 people who had recently experienced acute coronary syndrome were randomly allocated to intervention (‘text+visual’ or ‘text-only’) or control. Intentions to phone an ambulance immediately for acute coronary syndrome symptoms were assessed before and after the intervention using symptom scenarios, and the change in intention was compared across the three groups.ResultsSignificant increases in intention to phone an ambulance immediately for ACS symptoms were seen following the ‘text+visual’ intervention but not following ‘text-only’ or control. However, the study was underpowered to detect any significant changes in intention between the 3 groups. There were no unintended effects on intentions for non-urgent symptoms.ConclusionsA ‘text+visual’ BCT-based intervention may significantly increase intention to phone an ambulance with symptoms of ACS. Further testing of the effect of the intervention on actual behaviour is required

Isotopic evidence for Holocene January air temperature variability on the East Chukotka Peninsula

Ice‐wedge ice can provide a valuable record of past winter climate variability at high latitudes yet to date this proxy has been applied only sparsely across the Chukotka region of Siberia. Here we present data from eight ice‐wedges at four sites across a 600‐km transect in Eastern Chukotka which we use to reconstruct regional Holocene winter paleotemperature. The Holocene age of ice‐wedges was established by radiocarbon dating of peat surrounding individual ice‐wedges. Our suite of radiocarbon ages suggests that the studied ice‐wedges formed between 12.9-11.8 and 3-2.5 cal ka BP. δ¹⁸O and δ²H values from ice‐wedge ice indicate that in coastal areas of Eastern Chukotka mean January air temperatures in the first half of the Holocene were on average 2-3°С lower than modern values, a finding that corresponds well with winter climate reconstructions for the other areas of Beringia. The variability of reconstructed mean January air temperatures in the study area did not exceed 2-4°C during the early to mid‐Holocene