Dataset Information

NHS Diabetes Prevention Programme in England: formative evaluation of the programme in early phase implementation.

ABSTRACT: OBJECTIVES:Evaluation of the demonstrator phase and first wave roll-out of the National Health Service (NHS) Diabetes Prevention Programme (DPP) in England. To examine: (1) intervention design, provision and fidelity assessment procedures; (2) risk assessment and recruitment pathways and (3) data collection for monitoring and evaluation. To provide recommendations informing decision makers on programme quality, improvements and future evaluation. DESIGN:We reviewed programme documents, mapping against the NHS DPP specification and National Institute for Health and Care Excellence (NICE) public health guideline: Type 2 diabetes (T2D) prevention in people at high risk (PH38), conducted qualitative research using individual interviews and focus group discussions with stakeholders and examined recruitment, fidelity and data collection procedures. SETTING:Seven NHS DPP demonstrator sites and, subsequently, 27 first wave areas across England. INTERVENTIONS:Intensive behavioural intervention with weight loss, diet and physical activity goals. The national programme specifies at least 13 sessions over 9?months, delivered face to face to groups of 15-20 adults with non-diabetic hyperglycaemia, mainly recruited from primary care and NHS Health Checks. PARTICIPANTS:Participants for qualitative research were purposively sampled to provide a spread of stakeholder experience. Documents for review were provided via the NHS DPP Management Group. FINDINGS:The NHS DPP specification reflected current evidence with a clear framework for service provision. Providers, with national capacity to deliver, supplied intervention plans compliant with this framework. Stakeholders highlighted limitations in fidelity assessment and recruitment and retention challenges, especially in reach and equity, that could adversely impact on implementation. Risk assessment for first wave eligibility differed from NICE guidance. CONCLUSIONS:The NHS DPP provides an evidence-based behavioural intervention for prevention of T2D in adults at high risk, with capacity to deliver nationally. Framework specification allows for balance between consistency and contextual variation in intervention delivery, with session details devolved to providers. Limitations in fidelity assurance, data collection procedures and recruitment issues could adversely impact on intervention effectiveness and restrict evaluation.

SUBMITTER: Penn L

PROVIDER: S-EPMC5855311 | biostudies-other | 2018 Feb

REPOSITORIES: biostudies-other

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NHS Diabetes Prevention Programme in England: formative evaluation of the programme in early phase implementation.

Penn Linda L Rodrigues Angela A Haste Anna A Marques Marta M MM Budig Kirsten K Sainsbury Kirby K Bell Ruth R Araújo-Soares Vera V White Martin M Summerbell Carolyn C Goyder Elizabeth E Brennan Alan A Adamson Ashley J AJ Sniehotta Falko F FF

BMJ open 20180221 2

<h4>Objectives</h4>Evaluation of the demonstrator phase and first wave roll-out of the National Health Service (NHS) Diabetes Prevention Programme (DPP) in England. To examine: (1) intervention design, provision and fidelity assessment procedures; (2) risk assessment and recruitment pathways and (3) data collection for monitoring and evaluation. To provide recommendations informing decision makers on programme quality, improvements and future evaluation.<h4>Design</h4>We reviewed programme docum ...[more]

PMID: 29467134

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Project description:BackgroundType 2 diabetes mellitus is preventable through lifestyle intervention. Diabetes prevention programmes (DPPs) aim to deliver prevention-based behaviour change interventions to reduce incidence. Such programmes vary from usual primary care in terms of where, how, and by whom they are delivered. Implementation is therefore likely to face new commissioning, incentive and delivery challenges. We report on the implementation of a national DPP in NHS England, and identify lessons learned in addressing the implementation challenges.MethodsIn 2017/18, we conducted 20 semi-structured telephone interviews covering 16 sampled case sites with the designated lead(s) responsible for local implementation of the programme. Interviews explored the process of implementation, including organisation of the programme, expectations and attitudes to the programme, funding, target populations and referral and clinical pathways. We drew on constant comparative methods to analyse the data and generate over-arching themes. We complemented our qualitative data with a survey focused on variation in the financial incentives used across sites to ensure usual primary care services recruited patients to new providers.ResultsWe identified five over-arching areas of learning for implementing this large-scale programme: 1) managing new providers; 2) promoting awareness of services; 3) recruiting patients; 4) incentive payments; and 5) mechanisms for sharing learning. In general, tensions appeared to be caused by a lack of clear roles/responsibilities between hierarchical actors, and lack of communication. Both local sites and the national NHS coordination team gained experience through learning by doing. Initial tensions with roles and expectations have been worked out during implementation.ConclusionsImplementing a national disease prevention programme is a major task, and one that will be increasingly faced by health systems globally as they aim to adjust to demand pressures. We provide practical learning opportunities for the wider uptake and sustainability of prevention programmes. Future implementers might wish to define clear responsibilities for each actor prior to implementation, ensure early engagement with new providers, offer mechanisms/forums for sharing learning, generate evidence and provide advice on incentive payments, and prioritise public and professional awareness of the programme.

Project description:BACKGROUND:The NHS Diabetes Prevention Programme (NHS-DPP) is a nine-month, group-based behavioural intervention for adults in England at risk of developing Type 2 diabetes. Four independent providers were commissioned to deliver versions of the NHS-DPP, in line with NHS England specifications. This observational study maps NHS-DPP delivery in routine practice against the NHS specification, and compares service delivery with observed patient experiences. METHODS:Researchers observed service delivery across eight complete NHS-DPP courses (118 sessions, median 14 sessions per course), consenting 455 participants (36 staff, 398 patients, 21 accompanying persons). Key features of NHS-DPP delivery were described using the Template for Intervention Description and Replication (TIDieR) framework. Researchers wrote detailed field notes during each session, including observations of patient experience. Field notes were content analysed; instances of positive and negative experiences were labelled and grouped into categories. Researchers used a novel method of comparing observed patient experiences to variations in programme delivery. RESULTS:Delivery broadly followed NHS England's specification and the plans set out by providers. Deviations included the scheduling and larger group sizes in some sessions. There was variation in the type and format of activities delivered by providers. Positive patient experiences included engagement, satisfaction with the programme, good within-group relationships and reported behavioural changes. Negative experiences included poor scheduling, large groups, and dissatisfaction with the venue. Where more interactive and visual activities were delivered in smaller groups of 10-15 people with good rapport, there were generally more instances of positive patient experiences, and where there were structural issues such as problems with the scheduling of sessions, poor venues and inadequate resources, there tended to be more negative patient experiences. CONCLUSIONS:Addressing issues that we have identified as being linked to negative experiences with the NHS-DPP could increase uptake, reduce patient drop-out and increase the overall effectiveness of the programme. In particular, modifying structural aspects of the NHS-DPP (e.g. reliable session scheduling, reducing group sizes, enough session resources) and increasing interaction appear particularly promising for improving these outcomes.

Project description:ObjectivesTo evaluate potential return on investment of the National Health Service Diabetes Prevention Programme (NHS DPP) in England and estimate which population subgroups are likely to benefit most in terms of cost-effectiveness, cost-savings and health benefits.DesignEconomic analysis using the School for Public Health Research Diabetes Prevention Model.SettingEngland 2015-2016.PopulationAdults aged ≥16 with high risk of type 2 diabetes (HbA1c 6%-6.4%). Population subgroups defined by age, sex, ethnicity, socioeconomic deprivation, baseline body mass index, baseline HbA1c and working status.InterventionsThe proposed NHS DPP: an intensive lifestyle intervention focusing on dietary advice, physical activity and weight loss. Comparator: no diabetes prevention intervention.Main outcome measuresIncremental costs, savings and return on investment, quality-adjusted life-years (QALYs), diabetes cases, cardiovascular cases and net monetary benefit from an NHS perspective.ResultsIntervention costs will be recouped through NHS savings within 12 years, with net NHS saving of £1.28 over 20 years for each £1 invested. Per 100 000 DPP interventions given, 3552 QALYs are gained. The DPP is most cost-effective and cost-saving in obese individuals, those with baseline HbA1c 6.2%-6.4% and those aged 40-74. QALY gains are lower in minority ethnic and low socioeconomic status subgroups. Probabilistic sensitivity analysis suggests that there is 97% probability that the DPP will be cost-effective within 20 years. NHS savings are highly sensitive to intervention cost, effectiveness and duration of effect.ConclusionsThe DPP is likely to be cost-effective and cost-saving under current assumptions. Prioritising obese individuals could create the most value for money and obtain the greatest health benefits per individual targeted. Low socioeconomic status or ethnic minority groups may gain fewer QALYs per intervention, so targeting strategies should ensure the DPP does not contribute to widening health inequalities. Further evidence is needed around the differential responsiveness of population subgroups to the DPP.

Project description:BACKGROUND:Understanding the many factors that influence implementation of new programs, in addition to their success or failure, is extraordinarily complex. This qualitative study examines the implementation and adaptation process of two linked clinical programs within Primary Care, diabetes shared medical appointments (SMAs) and a reciprocal Peer-to-Peer (P2P) support program for patients with poorly controlled diabetes, through the lens of the Consolidated Framework for Implementation Research (CFIR). We illustrate the role and importance of pre-implementation interviews for guiding ongoing adaptations to improve implementation of a clinical program, achieve optimal change, and avoid type III errors. METHODS:We conducted 28 semi-structured phone interviews between September of 2013 and May of 2016, four to seven interviewees at each site. The interviewees were physician champions, chiefs of primary care, pharmacists, dieticians, nurses, health psychologists, peer facilitators, and research coordinators. Modifiable barriers and facilitators to implementation were identified and adaptations documented. Data analysis started with immersion in the data to obtain a sense of the whole and then by cataloging principal themes per CFIR constructs. An iterative consensus-building process was used to code. CFIR constructs were then ranked and compared by the researchers. RESULTS:We identified a subset of CFIR constructs that are most likely to play a role in the effectiveness of the diabetes SMAs and P2P program based on our work with the participating sites to date. Through the identification of barriers and facilitators, a subset of CFIR constructs arose, including evidence strength and quality, relative advantage, adaptability, complexity, patient needs and resources, compatibility, leadership engagement, available resources, knowledge and beliefs, and champions. CONCLUSIONS:We described our method for identification of contextual factors that influenced implementation of complex diabetes clinical programs - SMAs and P2P. The qualitative phone interviews aided implementation through the identification of modifiable barriers or conversely, actionable findings. Implementation projects, and certainly clinical programs, do not have unlimited resources and these interviews allowed us to determine which facets to target and act on for each site. As the study progresses, these findings will be compared and correlated to outcome measures. This comprehensive adaptation data collection will also facilitate and enhance understanding of the future success or lack of success of implementation and inform potential for translation and public health impact. The approach of using the CFIR to guide us to actionable findings and help us better understand barriers and facilitators has broad applicability and can be used by other projects to guide, adapt, and improve implementation of research into practice. TRIAL REGISTRATION:ClinicalTrials.gov ID: NCT02132676 .

Project description:BackgroundThere are few community-level behaviors change interventions for reducing diabetes and hypertension risk in Africa, despite increasing cases of type 2 diabetes and cardiovascular diseases. Thus, this study was designed to adapt the United States Centers for Disease Control and Prevention's "Diabetes Prevention Program Power to Prevent" (DPP-P2P) for use in low-income urban communities of Bamako, Mali.MethodsFeedback was elicited on an initial French PowerPoint adaptation of the DPP-P2P session guidelines from stakeholders at the ministry of health, organizational partners, and medical care providers. Two community health centers in districts with high levels of diabetes or hypertension were selected to assist in developing the Malian adaptation. Focus groups were conducted with 19 community health workers (CHWs) of these centers. Based on feedback from these discussions, more graphics, demonstrations, and role plays were added to the PowerPoint presentations. The 19 CHWs piloted the proposed 12 sessions with 45 persons with diabetes or at-risk patients over a one-month period. Feedback discussions were conducted after each session, and changes in dietary and exercise habits were assessed pre and post participation in the program. This feedback contributed to finalization of a 14-session sequence.ResultsThe DPP-P2P session guidelines were adapted for use by low-literacy CHWs, converting the written English guidelines into French PowerPoint presentations with extensive use of pictures, role plays and group discussions to introduce diabetes, diet, and exercise concepts appropriately for the Bamako context. CHWs recommendations for a strong family-oriented program led to expanded sessions on eliciting support from all adults in the household. The 45 participants in the pilot adaptation were enthusiastic about the program. At the end of the program, there were significant increases in the frequency of daily exercise, efforts to limit fat intake, and goals for more healthy diets and exercise levels.ConclusionThis study documents how an iterative process of developing the DPP-P2P adaptation led to the development of a culturally appropriate set of materials welcomed by participants and having promise for reaching the low-income, low-literacy population with or at risk for diabetes in Bamako, Mali.

Project description:BackgroundThe prevention of type 2 diabetes (T2DM) is a major concern for health services around the world. The English NHS Diabetes Prevention Programme (NHS-DPP) offers a group face-to-face behaviour change intervention, based around exercise and diet, to adults with non-diabetic hyperglycaemia (NDH), referred from primary care. Previous analysis of the first 100,000 referrals revealed just over half of those referred to the NHS-DPP took up a place. This study aimed to identify the demographic, health and psychosocial factors associated with NHS-DPP uptake to help inform the development of interventions to improve uptake and address inequities between population groups.MethodsDrawing on the Behavioral Model of Health Services Utilization we developed a survey questionnaire to collect data on a wide range of demographic, health and psychosocial factors that might influence uptake of the NHS-DPP. We distributed this questionnaire to a cross-sectional random sample of 597 patients referred to the NHS-DPP across 17 general practices, chosen for variation. Multivariable regression analysis was used to identify factors associated with NHS-DPP uptake.Results325 out of 597 questionnaires were completed (54%). Only a third of responders took up the offer of a place. The best performing model for uptake (AUC = 0.78) consisted of four factors: older age; beliefs concerning personal vulnerability to T2DM; self-efficacy for reducing T2DM risk; and the efficacy of the NHS-DPP. After accounting for these, demographic and health-related factors played only a minor role.ConclusionUnlike fixed demographic characteristics, psychosocial perceptions may be amenable to change. NHS-DPP uptake rates may be improved by targeting the beliefs of patients about their risk of developing T2DM, their ability to carry out and sustain behaviours to reduce this risk, and the efficacy of the NHS-DPP in providing the necessary understanding and skills required. The recently introduced digital version of the NHS DPP could help address the even lower uptake amongst younger adults. Such changes could facilitate proportional access from across different demographic strata.

Dataset Information

NHS Diabetes Prevention Programme in England: formative evaluation of the programme in early phase implementation.

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NHS Diabetes Prevention Programme in England: formative evaluation of the programme in early phase implementation.

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