Growing green?: co-creating an evidence-based model of SME engagement

Topic: This paper reports on our experiences in running a pilot ESRC Impact Acceleration Account (IAA) project that addresses the issue of ‘sustainable growth’ by engaging SME owners and managers in facilitated workshop discussions on this important, yet highly contested topic. If the UK and other countries are to meet their carbon reduction obligations, it is clear that SMEs will need to make significant, and in some cases radical changes, not only in terms of their day-to-day operational practices but also in their longer-term trajectories. However, policymakers face substantial obstacles in communicating with this audience, including: the scale and diversity of the SME population, competing priorities, competitive pressures and resource constraints. This project combines published research on SMEs, their growth processes and environmental behaviours, with specialist expertise in SME engagement and climate change communication. Aim: The multi-partner collaboration is designed to co-create new knowledge on environmentally sustainable growth in SMEs. Its primary aim is to help SMEs and intermediaries gain a better understanding of sustainable growth and its implications for their businesses. The team designed and trialled an innovative approach engagement, based on facilitated workshop discussions, creating an initial evidence base that will be coupled with a set of practical recommendations. The project builds on the academic and external partners’ complementary research insights into SMEs, organisational growth, climate change communication, energy use and associated policy-making. By incorporating the expertise of the practical insights of practitioners and intermediary organisations, the project seeks to initiate a vigorous knowledge exchange about the conceptualisation and practical application of sustainable growth. Methodology: Prior to engaging with SMEs, the team conducted a review of the literature on sustainable growth, which informed the engagement phase of the project. We also conducted a small survey of SME owners and managers and engaged in an informal consultation with stakeholders that informed the design and contents of the pilot workshops. Two half-day workshops were organised with SME owner and manager participants, facilitated by the communications specialists, Climate Outreach, and drawing on previous engagement projects with hard to reach groups. The workshops provided a forum for participants to engage in grounded, ‘peer to peer’ discussion about sustainable growth, expressed in their own terms and drawing on their own values and narratives. Audio recording of the workshops provided the basis for a thematic analysis, which has been combined with the other sources to construct this working paper. Contribution: The project is generating new insights into SME perspectives on sustainable growth that are grounded in relevant theory and evidence, coupled with practical tools that will be of value to practitioners and policymakers. The project team has also developed audio-visual resources, which will be used to raise awareness and help to provide the foundations for future engagement activity. The aim of the next phase of the project is to further refine this approach to engagement in the form of a more fully developed ‘toolkit’ and associated resources

The high-resolution map of Oxia Planum, Mars; the landing site of the ExoMars Rosalind Franklin rover mission

This 1:30,000 scale geological map describes Oxia Planum, Mars, the landing site for the ExoMars Rosalind Franklin rover mission. The map represents our current understanding of bedrock units and their relationships prior to Rosalind Franklin’s exploration of this location. The map details 15 bedrock units organised into 6 groups and 7 textural and surficial units. The bedrock units were identified using visible and near-infrared remote sensing datasets. The objectives of this map are (i) to identify where the most astrobiologically relevant rocks are likely to be found, (ii) to show where hypotheses about their geological context (within Oxia Planum and in the wider geological history of Mars) can be tested, (iii) to inform both the long-term (hundreds of metres to ∼1 km) and the short-term (tens of metres) activity planning for rover exploration, and (iv) to allow the samples analysed by the rover to be interpreted within their regional geological context.The ExoMars Rosalind Franklin Mission is a partnership between ESA and NASA. The Rosalind Franklin Rover has eight instruments in its ‘Pasteur’ Payload, with Principal Investigators from seven countries all of whom we would like to thank for there support of this project. We would like to acknowledge the following funding bodies, people and institutions supporting the lead authors of this work. We thank the UK Space Agency (UK SA) for funding P. Fawdon, on grants; ST/W002736/1, ST/L00643X/1 and ST/R001413/1, MRB on grants; ST/T002913/1, ST/V001965/1, ST/R001383/1, ST/R001413/1, P. Grindrod on grants; ST/L006456/1, ST/R002355/1, ST/V002678/1 and J. Davis on grants ST/K502388/1, ST/R002355/1, ST/V002678/1 through the ongoing Aurora space exploration programme. C. Orgel was supported by the ESA Research Fellowship Program. Alessandro Frigeri: was funded by the Italian Space Agency (ASI) grant ASI-INAF number 2017-412-H.0 (ExoMars/Ma_MISS) and D. Loizeau was funded by the H2020-COMPET-2015 programme (grant 687302), C. Quantin-Nataf was supported by the French space agency CNES, I. Torres was supported by an ESA Young Graduate Traineeship, A. Nass was supported by Helmholtz Metadata Projects (#ZT-I-PF-3-008). We thank NASA and the HiRISE camera team for data collection support throughout the ExoMars landing site selection and charectorisation process. The USGS for the HiRISE DTM data and maintaining the ISIS and SOCET SET DEM workflows. The authors wish to thank the CaSSIS spacecraft and instrument engineering teams. CaSSIS is a project of the University of Bern and funded through the Swiss Space Office via ESA's PRODEX programme. The instrument hardware development was also supported by the Italian Space Agency (ASI) (ASI-INAF agreement no. I/2020-17-HH.0), INAF/Astronomical Observatory of Padova, and the Space Research Center (CBK) in Warsaw. Support from SGF (Budapest), the University of Arizona (Lunar and Planetary Lab.) and NASA are also gratefully acknowledged. Operations support from the UK Space Agency under grant ST/R003025/1 is also acknowledged. This research has made use of the USGS Integrated Software for Imagers and Spectrometers (ISIS) Technical support for setup of the Multi-Mission Geographic Information System for concurrent team mapping was provided by F. Calef (III) and T. Soliman at NASA JPL and S. de Witte at ESA-ESTEC.This work was supported by Agencia Estatal de Investigación [grant number ID2019-107442RB-C32, MDM-2017-0737]; Agenzia Spaziale Italiana [grant number 2017-412-H.0]; Bundesministerium für Wirtschaft und Technologie [grant number 50 QX 2002]; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Euskal Herriko Unibertsitatea [grant number PES21/88]; Istituto Nazionale di Astrofisica [grant number I/ 060/10/0]; Ministerio de Economía y Competitividad [grant number PID2019-104205GB-C21]; Ministry of Science and Higher Education of the Russian Federation [grant number AAAA-A18-118012290370-6]; National Aeronautics and Space Administration [grant number NNX15AH46G]; Norges Forskningsråd [grant number 223272]; European Union's Horizon 2020 (H2020-COMPET-2015) [grant number 687302 (PTAL)]; Sofja Kovalevskaja Award of the Alexander von Humboldt Foundation; MINECO [grant number PID2019-107442RB-C32]; The Open University [grant number Space Strategic Research Area]; European Union's Horizon 2020 research and innovation programme [grant number 776276]; H2020-COMPET-2015 [grant number 687302]; The Research Council of Norway, Centres of Excellence funding scheme [grant number 223272]; Helmholtz Metadata Projects [grant number ZT-I-PF-3-008]; The Research Council of Norway [grant number 223272]; Swiss Space Office via ESA's PRODEX programme; Ines Torres was supported by an ESA Young Graduate Traineeship; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung [grant number 200021_197293]; Science and Technology Facilities Council [grant number 1967420]; UK Space Agency [grant number ST/K502388/1, ST/R002355/1, ST/V002678/1]. The ExoMars Rosalind Franklin Mission is a partnership between ESA and NASA. The Rosalind Franklin Rover has eight instruments in its ‘Pasteur’ Payload, with Principal Investigators from seven countries all of whom we would like to thank for there support of this project. We would like to acknowledge the following funding bodies, people and institutions supporting the lead authors of this work. We thank the UK Space Agency (UK SA) for funding P. Fawdon, on grants; ST/W002736/1, ST/L00643X/1 and ST/R001413/1, MRB on grants; ST/T002913/1, ST/V001965/1, ST/R001383/1, ST/R001413/1, P. Grindrod on grants; ST/L006456/1, ST/R002355/1, ST/V002678/1 and J. Davis on grants ST/K502388/1, ST/R002355/1, ST/V002678/1 through the ongoing Aurora space exploration programme. C. Orgel was supported by the ESA Research Fellowship Program. Alessandro Frigeri: was funded by the Italian Space Agency (ASI) grant ASI-INAF number 2017-412-H.0 (ExoMars/Ma_MISS) and D. Loizeau was funded by the H2020-COMPET-2015 programme (grant 687302), C. Quantin-Nataf was supported by the French space agency CNES, I. Torres was supported by an ESA Young Graduate Traineeship, A. Nass was supported by Helmholtz Metadata Projects (#ZT-I-PF-3-008). We thank NASA and the HiRISE camera team for data collection support throughout the ExoMars landing site selection and charectorisation process. The USGS for the HiRISE DTM data and maintaining the ISIS and SOCET SET DEM workflows. The authors wish to thank the CaSSIS spacecraft and instrument engineering teams. CaSSIS is a project of the University of Bern and funded through the Swiss Space Office via ESA's PRODEX programme. The instrument hardware development was also supported by the Italian Space Agency (ASI) (ASI-INAF agreement no. I/2020-17-HH.0), INAF/Astronomical Observatory of Padova, and the Space Research Center (CBK) in Warsaw. Support from SGF (Budapest), the University of Arizona (Lunar and Planetary Lab.) and NASA are also gratefully acknowledged. Operations support from the UK Space Agency under grant ST/R003025/1 is also acknowledged. This research has made use of the USGS Integrated Software for Imagers and Spectrometers (ISIS) Technical support for setup of the Multi-Mission Geographic Information System for concurrent team mapping was provided by F. Calef (III) and T. Soliman at NASA JPL and S. de Witte at ESA-ESTEC.Peer reviewe

The high-resolution map of Oxia Planum, Mars; the landing site of the ExoMars Rosalind Franklin rover mission

This 1:30,000 scale geological map describes Oxia Planum, Mars, the landing site for the ExoMars Rosalind Franklin rover mission. The map represents our current understanding of bedrock units and their relationships prior to Rosalind Franklin’s exploration of this location. The map details 15 bedrock units organised into 6 groups and 7 textural and surficial units. The bedrock units were identified using visible and near-infrared remote sensing datasets. The objectives of this map are (i) to identify where the most astrobiologically relevant rocks are likely to be found, (ii) to show where hypotheses about their geological context (within Oxia Planum and in the wider geological history of Mars) can be tested, (iii) to inform both the long-term (hundreds of metres to ∼1 km) and the short-term (tens of metres) activity planning for rover exploration, and (iv) to allow the samples analysed by the rover to be interpreted within their regional geological context

1056-P: Impact of Individualized HbA1c Target Setting on Diabetes-Distress, Self-Efficacy, Well-Being, and HbA1c

American Diabetes Association guidelines emphasize the importance of individualized HbA1c target setting in glycemic management, but little is known of the impact of target-setting on patient well-being. We randomized 50 adults (type 1 or 2) to receive HbA1c targets 5 mmol/mol (0.5%) above or below current value and evaluated impact on health-related quality of life: EQ-5D-5L, EQ-VAS, diabetes distress: Problem Areas in Diabetes, PAID, self-efficacy: Diabetes Empowerment Scale Long Form, DES-LF, well-being: Wellbeing Questionnaire-12, W-BQ12 and HbA1c (%) at baseline and 3 months; with thematic analysis of semi-structured interviews in a subset of 14 people.We hypothesized that individualized target-setting, especially stretch targets, might worsen diabetes distress and compromise wellbeing. Multiple validated questionnaires and thematic analysis of semi-structured interviews showed no evidence of any significant deterioration. Indeed, the process of explicit individualized target setting was associated with improvements in all wellbeing measures except EQ-5D-5L and there were significant improvements in diabetes distress and psychosocial efficacy in the relaxed target group. Our data suggest that the process of setting explicit individualized HbA1c targets is a positive one, regardless of whether the target is ‘relaxed’ or ‘stretch’

Explicit glycated haemoglobin goals improve subsequent HbA1c levels with no impact on health-related quality of life.

Background: National guidelines recognise the importance of individualising HbA1c targets. Many people with diabetes agree to have their targets re-evaluated in consultations in response to specific characteristics.Aims: We aimed to evaluate the impact of relaxed or stretch HbA1c goals on subsequent HbA1c levels and health-related quality of life (HR-QoL) in adults with diabetes.Methods: We randomised 50 adults with diabetes to receive HbA1c targets either 5mmol/mol above (relaxed target) or 5mmol/mol below (stretch target) current HbA1c readings for 3 months. Participants' HbA1c levels and HR-QoL according to the Euro-QoL-5D-5L (EQ-5D-5L) validated questionnaire were measured at baseline and endpoint. EQ-5D-5L outputs HR-QoL scores (EQ-5D index, range − 0.594–1.000, higher is better) and numerical values from a visual analogue scale (EQ-VAS, range 0–100, higher is better).Results: Thirty-three individuals completed endpoint evaluation. Sulphonylurea and metformin usage increased 3%. Thiazolidinedione, DPP-4 inhibitor, SGLT-2 inhibitor, GLP-1 receptor agonist, and insulin usage remained unchanged. Mean HbA1c improved by 2.9mmol/mol (95% CI -0.4–6.2,p = 0.084) in those with relaxed targets and 2.8mmol/mol (95% CI -0.2–5.7,p = 0.065) with stretch targets. There was no change in median EQ-5D index or EQ-VAS in those with relaxed targets. Median EQ-5D index worsened by 0.005 and EQ-VAS improved by 5 with stretch targets.Conclusions: Our findings suggest goal-setting using specific HbA1c targets is associated with improved HbA1c levels irrespective of the target. Median change in EQ-5D-5L scores were below the threshold of minimum clinically important difference. This may indicate the target-setting process, rather than the goal itself, is beneficial for patient HbA1c levels. Further studies are needed to evaluate these findings in greater detail