19 research outputs found

    Participant experiences of the DWELL programme: focus group findings on motivation, experiences, facilitators and barriers

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    Initiatives to increase effective, low-cost self-management are essential to the sustainability of care for type 2 diabetes (T2D), however research shows that there is currently no standard approach. The DWELL programme seeks to motivate and empower people with T2D to better self-manage their condition through focussed content underpinned by motivational interviewing. As part of the DWELL evaluation study, end-of-programme focus groups were conducted to elicit participant experiences. 33 focus groups with 153 participants (including a small number of partners) took place in the two UK DWELL delivery sites. The focus group data was subjected to thematic content analysis to elicit key themes. Findings indicate that DWELL participants are motivated through a desire for better knowledge and management of their diabetes. Facilitating factors of the programme include: facilitator and peer support; the holistic and autonomous approach which provides participants with the opportunity to better understand the condition and its impact on their whole lives; and a tailored individual approach. Barriers and suggested improvements include content and operational changes, which are fed back to DWELL facilitators as part of the process evaluation in order that they can continually update the programme. Participants report positive outcomes in terms of wellbeing, social and mental health, enhanced knowledge and positive lifestyle changes. These themes align with quantitative outcome measures for participants, including weight loss, reduced BMI and glycated haemoglobin (HbA1c), enhanced empowerment and improved eating behaviours and illness perceptions and control. Interim findings suggest that DWELL outcomes include improved health literacy, participant empowerment and self-management. These findings underscore the need to incorporate a holistic, tailored approach to structured patient education for T2D

    The Diabetes and WELLbeing programme: protocol of a multi-site European complex intervention study

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    A quasi-experimental design evaluation study examines long-term impact of the 12-week DWELL programme, a self-management intervention for people with type 2 diabetes (T2D), based on adult learning and person-centred approaches, delivered in 5 community and hospital sites in 4 European countries. Overall target is 780 people with T2D. Staff are trained in motivational interviewing, group facilitation, diabetes education, and programme approach which consists of core and ‘pick and mix’ sessions on diabetes education, physical activity, healthy eating and wellbeing. Pre-post measures are taken at baseline (T0), end-of-programme (T1), at 6 months (T2) and 12 months (T3). There is a non-equivalent control group of 190 at T2/T3. Biomedical data are collected by staff and psychosocial data are collected via self-completed validated scales. Metabolic measures include: HbA1c, BMI and waist circumference. Demographics capture: age, gender, ethnicity, household composition, education, employment, income. Psychosocial data are collected on illness perception, patient empowerment, eating behaviours, physical activity, physical/mental health status, health-related quality of life (EQ-5D), use of diabetes-related health services and self-care activities. Participant experiences are recorded via motivational interviews at T0 and T1 and focus groups at T1. Process evaluation data are collected via interviews with staff and patient ambassadors. The DWELL programme started in 2018 and results will be available in 2021. The study will produce rich data on long-term impact of intervention to allow replication and further development. It will permit cross-border conclusions on sustainability and embeddedness of model in varied service settings, and empowerment-based public health approach to T2D self-management

    Patient empowerment, eating behaviours and illness control: pre-post outcomes from DWELL delivery in UK and France

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    Diabetes self-management programmes can improve clinical and healthy lifestyle outcomes. Research has demonstrated that improved engagement with type 2 diabetes (T2D) care is associated with greater empowerment beliefs and a perceived internal control over their illness. As part of the DWELL evaluation study, an interim subset of 139 participants in the UK and 53 participants in France were assessed pre- and post-intervention on measures of weight, BMI, waist circumference and glycated haemoglobin (HbA1c), as well as self-efficacy beliefs (DES-SF), healthy eating behaviours (DEBQ) and perceptions of illness (IPQ-R). Pre-post comparisons in both countries demonstrated statistically significant decreases in weight (UK: Z = 6.71, p<.001, FR: Z = 3.33, p<.05), BMI (UK: Z = 6.70, p<.001, FR: Z = 3.21, p<.05), waist circumference (UK: Z = 6.71, p<.001, FR: Z = 3.24, p<.05) ,and HbA1c (UK: Z = 6.29, p<.001, FR: Z = 4.18, p <.001). Importantly, participation in the DWELL programme was associated with increased self-efficacy beliefs (UK: Z = 5.63, p<.001, FR: Z = 5.54, p<.001), greater perceived personal control over their diabetes (UK: Z = 3.17, p<.05, FR: Z = 2.20, p<.05), reduced negative feelings about their illness (UK: Z = 3.01, p <.05, FR: Z = 2.19, p<.05) and decreased eating in response to external food cues (UK: Z = 3.79, p<.001, FR: Z = 2.34, p<.05). In the UK, participants also reported an increased optimism for treatment control of their diabetes (Z = 3.06, p <.05) and for their long-term prognosis (Z = 1.99, p<.05). These preliminary findings support the efficacy of the DWELL programme in improving diabetes-related biomedical outcomes, as well as improvements in patient empowerment, healthy eating habits and increased perceived illness control. Further analysis, available at a later date, will include a larger sample of participants, including longitudinal data with follow-ups six- and 12- months post participation in the DWELL programme

    Genome sequence of the necrotrophic plant pathogen Alternaria brassicicola Abra43

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    Alternaria brassicicola causes dark spot (or black spot) disease, which is one of the most common and destructive fungal diseases of Brassicaceae spp. worldwide. Here, we report the draft genome sequence of strain Abra43. The assembly comprises 29 scaffolds, with an N50 value of 2.1 Mb. The assembled genome was 31,036,461 bp in length, with a G+C content of 50.85%

    POLLUX : a database of synthetic stellar spectra

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    Synthetic spectra are needed to determine fundamental stellar and wind parameters of all types of stars. They are also used for the construction of theoretical spectral libraries helpful for stellar population synthesis. Therefore, a database of theoretical spectra is required to allow rapid and quantitative comparisons to spectroscopic data. We provide such a database offering an unprecedented coverage of the entire Hertzsprung-Russell diagram. We present the POLLUX database of synthetic stellar spectra. For objects with Teff < 6 000 K, MARCS atmosphere models are computed and the program TURBOSPECTRUM provides the synthetic spectra. ATLAS12 models are computed for stars with 7 000 K <Teff <15 000 K. SYNSPEC gives the corresponding spectra. Finally, the code CMFGEN provides atmosphere models for the hottest stars (Teff > 25 000 K). Their spectra are computed with CMF_FLUX. Both high resolution (R>150 000) optical spectra in the range 3 000 to 12 000 A and spectral energy distributions extending from the UV to near--IR ranges are presented. These spectra cover the HR diagram at solar metallicity. We propose a wide variety of synthetic spectra for various types of stars in a format that is compliant with the Virtual Observatory standards. A user--friendly web interface allows an easy selection of spectra and data retrieval. Upcoming developments will include an extension to a large range of metallicities and to the near--IR high resolution spectra, as well as a better coverage of the HR diagram, with the inclusion of models for Wolf-Rayet stars and large datasets for cool stars. The POLLUX database is accessible at http://pollux.graal.univ-montp2.fr/ and through the Virtual Observatory.Comment: 9 pages, 5 figures, accepted for publication in Astronomy ans Astrophysic
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