Barriers and facilitators to attendance at Type 2 diabetes structured education programmes: a qualitative study of educators and attendees.

AIMS: Attendance at structured diabetes education has been recommended internationally for all people with Type 2 diabetes. However, attendance rates are consistently low. This qualitative study aimed to explore experiences of attending and delivering Type 2 diabetes structured education programmes in Ireland and barriers and facilitators to attendance. METHODS: People with Type 2 diabetes who had attended one of the three programmes delivered in Ireland and educators from the three programmes took part in semi-structured telephone interviews. Interviews were audio-taped, transcribed and analysed using inductive thematic analysis. RESULTS: Twelve attendees and 14 educators were interviewed. Two themes were identified in relation to experiences of programme attendance and delivery: 'Structured education: addressing an unmet need' and 'The problem of non-attendance'. The third theme 'Barriers to attendance: can't go, won't go, don't know and poor system flow' outlined how practicalities of attending, lack of knowledge of the existence and benefits, and limited resources and support for education within the diabetes care pathway impacts on attendance. The final theme 'Supporting attendance: healthcare professionals and the diabetes care pathway' describes facilitators to participants' attendance and the strategies educators perceived to be important in increasing attendance. CONCLUSIONS: Healthcare professionals have an important role in improving attendance at structured diabetes education programmes. Improving attendance may require promotion by healthcare professionals and for education to be better embedded and supported within the diabetes care pathway.

Illness perceptions and glycaemic control in diabetes: a systematic review with meta-analysis.

AIMS: The Illness Perception Questionnaire, the Revised Illness Perception Questionnaire and the Brief Illness Perception Questionnaire have been widely used to measure people's beliefs about diabetes. This review aimed to synthesize evidence on the relationship between the dimensions of the Illness Perception Questionnaire, the Revised Illness Perception Questionnaire and the Brief Illness Perception Questionnaire and HbA(1c) level in adults with diabetes. METHODS: A systematic literature search was carried out in January 2010 to identify relevant studies. Random-effects model meta-analyses were conducted with cross-sectional data to quantify the relationship between Illness Perception Questionnaire dimensions and HbA(1c) across studies. Randomized controlled trials that targeted Illness Perception Questionnaire perceptions and included HbA(1c) as an outcome measure were discussed in a narrative review. RESULTS: Nine cross-sectional studies and four randomized controlled trials were included. Stronger Identity (r+=0.14), Consequences (r+=0.14), Timeline Cyclical (r+ = 0.26) Concern (r+= 0.21), and Emotional Representations (r+=0.18) perceptions had significant positive associations with HbA(1c.) Greater Personal Control (r+=- 0.12) was negatively associated with HbA(1c) . For all relationships, heterogeneity tests were non-significant, suggesting little variability in effect size estimates. Two of the four randomized controlled trials successfully changed illness perceptions, with one also reporting an intervention group reduction in HbA(1c). CONCLUSIONS: Some Illness Perception Questionnaire dimensions had small significant associations with HbA(1c) , although the direction of these associations remains unclear. There was also tentative evidence that illness perceptions can be positively changed through targeted intervention and that these changes may also impact on glycaemic control. Future research could benefit from tailoring intervention content to perceptions that are most highly associated with HbA(1c).

Implementing international sexual counselling guidelines in hospital cardiac rehabilitation: development of the CHARMS intervention using the Behaviour Change Wheel.

BACKGROUND: Decreased sexual activity and sexual problems are common among people with cardiovascular disease, negatively impacting relationship satisfaction and quality of life. International guidelines recommend routine delivery of sexual counselling to cardiac patients. The Cardiac Health and Relationship Management and Sexuality (CHARMS) baseline study in Ireland found, similar to international findings, limited implementation of sexual counselling guidelines in practice. The aim of the current study was to develop the CHARMS multi-level intervention to increase delivery of sexual counselling by healthcare professionals. We describe the methods used to develop the CHARMS intervention following the three phases of the Behaviour Change Wheel approach: understand the behaviour, identify intervention options, and identify content and implementation options. Survey (n = 60) and focus group (n = 14) data from two previous studies exploring why sexual counselling is not currently being delivered were coded by two members of the research team to understand staff's capability, opportunity, and motivation to engage in the behaviour. All potentially relevant intervention functions to change behaviour were identified and the APEASE (affordability, practicability, effectiveness, acceptability, side effects and equity) criteria were used to select the most appropriate. The APEASE criteria were then used to choose between all behaviour change techniques (BCTs) potentially relevant to the identified functions, and these BCTs were translated into intervention content. The Template for Intervention Description and Replication (TIDieR) checklist was used to specify details of the intervention including the who, what, how and where of proposed intervention delivery. RESULTS: Providing sexual counselling group sessions by cardiac rehabilitation staff to patients during phase III cardiac rehabilitation was identified as the target behaviour. Education, enablement, modelling, persuasion and training were selected as appropriate intervention functions. Twelve BCTs, linked to intervention functions, were identified for inclusion and translated into CHARMS intervention content. CONCLUSIONS: This paper details the use of Behaviour Change Wheel approach to develop an implementation intervention in an under-researched area of healthcare provision. The systematic and transparent development of the CHARMS intervention will facilitate the evaluation of intervention effectiveness and future replication and contribute to the advancement of a cumulative science of implementation intervention design.