A winning combination: Collaborating with stakeholders throughout the process of planning and implementing a type 2 diabetes prevention programme in the community

2019 ◽  
Vol 28 (2) ◽  
pp. 681-689 ◽  
Author(s):  
Corliss Bean ◽  
Karlene Sewell ◽  
Mary E. Jung
Keyword(s):  
Type 2 Diabetes ◽  
Diabetes Prevention ◽  
Prevention Programme ◽  
Type 2 Diabetes Prevention ◽  
Diabetes Prevention Programme

scholarly journals National type 2 diabetes prevention programme in Finland: FIN-D2D

2007 ◽  
Vol 66 (2) ◽  
pp. 101-112 ◽  
Author(s):  
Timo Saaristo ◽  
Markku Peltonen ◽  
Sirkka Keinänen-Kiukaanniemi ◽  
Mauno Vanhala ◽  
Juha Saltevo ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Diabetes Prevention ◽  
Prevention Programme ◽  
Type 2 Diabetes Prevention ◽  
Diabetes Prevention Programme

Cardiometabolic profile of people screened for high risk of type 2 diabetes in a national diabetes prevention programme (FIN-D2D)

2010 ◽  
Vol 4 (4) ◽  
pp. 231-239 ◽  
Author(s):  
Timo Saaristo ◽  
Leena Moilanen ◽  
Jari Jokelainen ◽  
Eeva Korpi-Hyövälti ◽  
Mauno Vanhala ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
High Risk ◽  
Diabetes Prevention ◽  
Prevention Programme ◽  
Diabetes Prevention Programme ◽  
Cardiometabolic Profile

scholarly journals The theoretical basis of a nationally implemented type 2 diabetes prevention programme: how is the programme expected to produce changes in behaviour?

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Rhiannon E. Hawkes ◽  
Lisa M. Miles ◽  
David P. French
Keyword(s):  
Type 2 Diabetes ◽  
Behaviour Change ◽  
Staff Training ◽  
Diabetes Prevention ◽  
Logic Model ◽  
Prevention Programme ◽  
Behaviour Change Techniques ◽  
Behavioural Changes ◽  
Diabetes Prevention Programme

Abstract Background It is considered best practice to provide clear theoretical descriptions of how behaviour change interventions should produce changes in behaviour. Commissioners of the National Health Service Diabetes Prevention Programme (NHS-DPP) specified that the four independent provider organisations must explicitly describe the behaviour change theory underpinning their interventions. The nationally implemented programme, launched in 2016, aims to prevent progression to Type 2 diabetes in high-risk adults through changing diet and physical activity behaviours. This study aimed to: (a) develop a logic model describing how the NHS-DPP is expected to work, and (b) document the behaviour change theories underpinning providers’ NHS-DPP interventions. Methods A logic model detailing how the programme should work in changing diet and activity behaviours was extracted from information in three specification documents underpinning the NHS-DPP. To establish how each of the four providers expected their interventions to produce behavioural changes, information was extracted from their programme plans, staff training materials, and audio-recorded observations of mandatory staff training courses attended in 2018. All materials were coded using Michie and Prestwich’s Theory Coding Scheme. Results The NHS-DPP logic model included information provision to lead to behaviour change intentions, followed by a self-regulatory cycle including action planning and monitoring behaviour. None of the providers described an explicit logic model of how their programme will produce behavioural changes. Two providers stated their programmes were informed by the COM-B (Capability Opportunity Motivation – Behaviour) framework, the other two described targeting factors from multiple theories such as Self-Regulation Theory and Self-Determination Theory. All providers cited examples of proposed links between some theoretical constructs and behaviour change techniques (BCTs), but none linked all BCTs to specified constructs. Some discrepancies were noted between the theory described in providers’ programme plans and theory described in staff training. Conclusions A variety of behaviour change theories were used by each provider. This may explain the variation between providers in BCTs selected in intervention design, and the mismatch between theory described in providers’ programme plans and staff training. Without a logic model describing how they expect their interventions to work, justification for intervention contents in providers’ programmes is not clear.

scholarly journals A protocol for the development and piloting of quality measures to support the Healthier You: The NHS Diabetes Prevention Programme

BJGP Open ◽  
2017 ◽  
Vol 1 (4) ◽  
pp. bjgpopen17X101205
Author(s):  
Farina Kokab ◽  
Rachel Foskett-Tharby ◽  
Nick Hex ◽  
Paramjit Gill
Keyword(s):  
Type 2 Diabetes ◽  
Diabetes Prevention ◽  
Service Providers ◽  
Quality Measurement ◽  
Quality Measures ◽  
Prevention Programme ◽  
Exploratory Research ◽  
Specialist Service ◽  
Diabetes Prevention Programme

BackgroundThe increasing prevalence of type 2 diabetes in the UK creates an additional, potentially preventable burden on health care and service providers. The Healthier You: NHS Diabetes Prevention Programme aims to reduce the incidence of type 2 diabetes through the identification of people at risk and the provision of intensive lifestyle change support. The provision of this care can be monitored through quality measurement at both the general practice and specialist service level.AimTo develop quality measures through piloting to assess the validity, credibility, acceptability, reliability, and feasibility of any proposed measures.Design & settingThe non-experimental mixed design piloting study consists of consensus testing and exploratory research with GPs, commissioners, and patients from Herefordshire, England.MethodA mixed-method approach will be used to develop and validate measures for diabetes prevention care and evaluate their performance over a 6-month pilot period consisting of consensus testing using a modified RAND approach with GPs and commissioners; four focus groups with 8–10 participants discussing experiences of non-diabetic hyperglycaemia (NDH), perceived ability to access care and prevent diabetes, and views on potential quality measures; and piloting final measures with at least five general practices for baseline and 6-month data.ResultsThe findings will inform the implementation of the diabetes prevention quality measures on a national scale while addressing any issue with validity, credibility, feasibility, and cost-effectiveness.ConclusionHealthcare professionals and patients have the opportunity to evaluate the reliability, acceptability, and validity of measures.

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