Early Outcomes From the English National Health Service Diabetes Prevention Programme

Assessing the validity of METS-IR for predicting the future onset of diabetes: an analysis using time-dependent receiver operating characteristics

BACKGROUND

The Metabolic Insulin Resistance Score (METS-IR) is a non-invasive proxy for insulin resistance (IR) that has been newly developed in recent years and has been shown to be associated with diabetes risk. Our aim was to assess the predictive value of METS-IR for the future development of diabetes and its temporal differences in people of different sex, age, and body mass index (BMI).

METHODS

The current study included 15,453 baseline non-diabetic subjects in the NAGALA cohort and then grouped according to the World Health Organization's (WHO) recommended criteria for age and BMI. Multivariate Cox regression and time-dependent receiver operator characteristics (ROC) curves were used to analyze the value of METS-IR in assessing and predicting the risk of diabetes in people of different sexes, ages, and BMIs.

RESULTS

373 individuals developed diabetes during the observation period. By multivariate COX regression analysis, the development of future diabetes was significantly associated with increased METS-IR, and this positive association was stronger in women than in men and in individuals < 45 years than in individuals ≥ 45 years; while no significant differences were observed between non-obese and overweight/obesity individuals. Using time-dependent ROC analysis we also assessed the predictive value of METS-IR for future diabetes at a total of 11-time points between 2 and 12 years. The results showed that METS-IR had a higher predictive value for the future development of diabetes in women or individuals < 45 years of age compared to men or individuals ≥ 45 years of age for almost the entire follow-up period. Furthermore, across different BMI categories, we also found that in the short term (3-5 years), METS-IR had a higher predictive value for the development of diabetes in individuals with overweight/obesity, while in the medium to long term (6-12 years), METS-IR was more accurate in predicting the development of diabetes in non-obese individuals.

CONCLUSIONS

Our study showed that METS-IR was independently associated with the development of future diabetes in a non-diabetic population. METS-IR was a good predictor of diabetes, especially for women and individuals < 45 years old for predicting the future risk of developing diabetes at all times.

The effectiveness of delivery modalities of non-pharmacological diabetes prevention programs: A systematic review and component network meta-analysis

BACKGROUND AND AIMS

Type 2 diabetes prevention programs are effective but costly and intensive, making translation into routine primary care and community settings challenging. Identifying drivers of intervention effectiveness can inform pragmatic future implementation whilst maintaining effectiveness. Translational studies have demonstrated that delivery modalities impact their effectiveness. This systematic review and component network meta-analysis assessed which delivery modality components of non-pharmacological diabetes prevention programs are associated with reductions in type 2 diabetes incidence for individuals at high risk of type 2 diabetes (or pre-diabetes).

METHODS

We searched MEDLINE, The Cochrane Library, Opengrey and clinicaltrials.gov from inception to November 17, 2022 for translational studies comparing lifestyle interventions with a minimum 12-month follow-up. Two investigators extracted the data. Random effects network meta-analyses and component network meta-analyses estimated the intervention effects.

RESULTS

We identified 50 eligible studies involving 29,286 participants including thirty-six (72.0 %) randomized controlled trials, 10 (20.0 %) cluster randomized controlled trials, and four (8.0 %) observational studies. Component network meta-analyses found in-person (individually) delivery was associated with greater reduction in incidence of type 2 diabetes (hazard ratio: 0.66, 95 % credible interval: 0.41, 0.96) and in-person (group-based) delivery was associated with greater reductions in weight (mean difference: -1.53 kg, 95 % credible interval: -2.18, -0.85) and HbA1c (mean difference: -0.74 mmol/mol, 95 % credible interval: -1.28, -0.17), relative to usual care.

CONCLUSIONS

This analysis suggests in-person delivery modalities are most effective for diabetes prevention. Future research should focus on improving the effectiveness of digital programs and ensuring preferential delivery for target populations to reduce health inequalities.

Evaluating the impact of differing completion rates of a face-to-face DIABETES self-management education programme on Patient Reported Outcome measures (DIABETES PRO): A feasibility trial protocol

INTRODUCTION

Structured diabetes self-management education (DSME) is internationally recommended for people with type 2 diabetes to support self-management and to prevent associated long-term complications. 'Attendance' at DSME is currently benchmarked as having completed a registration form and at least one active engagement with programme content, and 'completion' measured against ≥60% completion, despite landmark trials reporting outcomes based on the full completion of a programme. Little is known about the effectiveness of DSME on the psychological and emotional health of people with diabetes who complete less than the full DSME programme. We report a protocol for a single-centre randomised feasibility study to assess the impact of differing completion rates of a face-to-face DSME programme on patient reported outcomes of self-care, diabetes distress and quality of life in people with type 2 diabetes.

METHODS

A randomised feasibility study in 120 people with type 2 diabetes due to attend a secondary care diabetes clinic in the North West UK for DSME. Participants will be randomised into one of the four groups: Group 1 full DSME programme, Group 2 60%, Group 3 10% and Group 4 0% (delayed education). Psychometric questionnaire scores will be evaluated at baseline and 3-4 months post-intervention. Measures of feasibility (eligibility, recruitment and retention rates) will be reported.

ETHICS AND DISSEMINATION

The DIABETES-PRO study was approved by the London-Surrey Borders Research Ethics Committee (24/LO/0235). Results will be shared with study participants and published in peer-reviewed journals.

TRIAL REGISTRATION

Clinicaltrials.gov NCT06419907.

Early findings from the NHS Type 2 Diabetes Path to Remission Programme: a prospective evaluation of real-world implementation

BACKGROUND

Randomised controlled trials have shown that total diet replacement (TDR) can lead to remission of type 2 diabetes. In 2019, the English National Health Service (NHS) committed to establishing a TDR-based interventional programme delivered at scale within real-world environments; development followed of the NHS Type 2 Diabetes Path to Remission (T2DR) programme, a 12-month behavioural intervention to support weight loss involving an initial 3-month period of TDR. We assessed remission of type 2 diabetes for programme participants.

METHODS

In this national prospective service evaluation of programme implementation, people in England aged 18-65 years and diagnosed with type 2 diabetes in the last 6 years were referred to the programme between programme launch on Sept 1, 2020, and Dec 31, 2022. Programme data were linked to the National Diabetes Audit to ascertain HbA1c measurements and glucose-lowering medication prescriptions. The primary outcome was remission of type 2 diabetes at 1 year, defined as two HbA1c measurements of less than 48 mmol/mol recorded at least 3 months apart with no glucose-lowering medications prescribed from 3 months before the first HbA1c measurement, and the second HbA1c measurement recorded 11-15 months after the programme start date. Outcomes were assessed in two ways: for all participants who started TDR on the 12-month programme before January, 2022, for whom there were no missing data; and for all participants who started TDR on the 12-month programme before January, 2022, and had completed the programme (ie, had a valid weight recorded at month 12) by Dec 31, 2022, for whom there were no missing data.

FINDINGS

Between Sept 1, 2020, and Dec 31, 2022, 7540 people were referred to the programme; of those, 1740 started TDR before January, 2022, and therefore had a full 12-month opportunity to undertake the programme by the time of data extraction at the end of December, 2022. Of those who started TDR before January, 2022, 960 (55%) completed the programme (defined as having a weight recorded at 12 months). The mean weight loss for the 1710 participants who started the programme before January, 2022 and had no missing data was 8·3% (95% CI 7·9-8·6) or 9·4 kg (8·9-9·8), and the mean weight loss for the 945 participants who completed the programme and had no missing data was 9·3% (8·8-9·8) or 10·3 kg (9·7-10·9). For the subgroup of 710 (42%) of 1710 participants who started the programme before January, 2022, and also had two HbA1c measurements recorded, 190 (27%) had remission, with mean weight loss of 13·4% (12·3-14·5) or 14·8 kg (13·4-16·3). Of the 945 participants who completed the programme, 450 (48%) had two HbA1c measurements recorded; of these, 145 (32%) had remission, with mean weight loss of 14·4% (13·2-15·5) or 15·9 kg (14·3-17·4).

INTERPRETATION

Findings from the NHS T2DR programme show that remission of type 2 diabetes is possible outside of research settings, through at-scale service delivery. However, the rate of remission achieved is lower and the ascertainment of data is more limited with implementation in the real world than in randomised controlled trial settings.

FUNDING

None.

Imidazole-thiadiazole hybrids: A multitarget de novo drug design approach, in vitro evaluation, ADME/T, and in silico studies

A library of imidazole-thiadiazole compounds (1-24) was synthesized to explore their therapeutic applications. The compounds were subjected to meticulous in vitro evaluation against α-glucosidase, α-amylase, acetylcholinesterase (AChE), and butylcholinesterase (BChE) enzymes. Compounds were also investigated for antioxidant activities using cupric reducing antioxidant capacity (CUPRAC), ferric reducing antioxidant power (FRAP), and 1,1-diphenyl-2-picrylhydrazyl (DPPH) assays. Derivatives 5-7, 9-11, 18, and 19 displayed potent inhibitory activities with IC50 values of 1.4 ± 0.01 to 13.6 ± 0.01 and 0.9 ± 0.01 to 12.8 ± 0.02 µM against α-glucosidase, and α-amylase enzymes, respectively, compared to the standard acarbose (IC50 = 14.8 ± 0.01 µM). Compounds 11-13, 16, 20, and 21 exhibited potent activity IC50 = 8.6 ± 0.02 to 34.7 ± 0.03 µM against AChE enzyme, compared to donepezil chloride (IC50 = 39.2 ± 0.05 µM). Compound 21 demonstrated comparable inhibition IC50 = 45.1 ± 0.09 µM against BChE, compared to donepezil chloride (IC50 = 44.2 ± 0.05 µM). All compounds also demonstrated excellent antioxidant activities via CUPRAC, FRAP, and DPPH methods. Complementing the experimental studies, extensive kinetics, ADME/T, and molecular docking analysis were also conducted to unravel the pharmacokinetics and safety profiles of the designed compounds. These studies supported the experimental findings and facilitated the prioritization of hit candidates for subsequent stages of drug development.

Diet and Physical Activity Interventions for People from Minority Ethnic Backgrounds in the UK: A Scoping Review Exploring Barriers, Enablers and Cultural Adaptations

BACKGROUND

Type 2 diabetes (T2D) and cardiovascular disease (CVD) are a global pandemic, driven by obesity, poor diet and physical inactivity. In the UK, the prevalence of T2D and CVD is higher in minority ethnic groups. Lifestyle prevention interventions can be effective but uptake amongst minority ethnic groups in the UK is low and the extent of cultural adaptations to increase engagement unknown.

AIM

To explore barriers, enablers and culturally adapted lifestyle interventions in UK minority ethnic groups.

METHODS

Four electronic databases were searched from to January 2013-2023. Two independent reviewers carried out manuscript selection and data extraction. Barriers and enablers were mapped to the Capability + Opportunity + Motivation = Behaviour (COM-B) theoretical model. Intervention adaptations were linked to behaviour change strategies and reported within a Cultural Adaptation framework.

RESULTS

Twenty-three studies were included, reporting barriers/enablers, culturally adapted interventions or both. Barriers and enablers mostly mapped to social and physical opportunity, and reflective motivation. Common adaptation strategies considered behavioural influences related to culture, values, religious beliefs and/or traditions. Most impactful strategies were associated with using credible sources of information and reorganising social and environmental contexts.

DISCUSSION AND CONCLUSIONS

The current umbrella approach to preventative intervention delivery is unlikely to promote sustained participation in behaviour change amongst UK ethnic minorities. Engagement strategies for this population should consider key determinants such as social contexts, beliefs and cultural norms. Important research gaps include interventions investigating tailored interventions for Black populations, and the impact of negative social experiences (e.g., racism) on engagement.

Age- and deprivation-related inequalities in identification of people at high risk of type 2 diabetes in England

BACKGROUND

Early detection of intermediate hyperglycaemia, otherwise known as non-diabetic hyperglycaemia (NDH) is crucial to identify people at high risk of developing type 2 diabetes mellitus (T2DM) who could benefit from preventative interventions. Failure to identify NDH may also increase the risks of T2DM-related complications at the time of T2DM diagnosis. We investigate sociodemographic inequalities in identification of NDH in England.

METHODS

We used nationwide data from the English National Health Service (NHS) National Diabetes Audit, which includes all people who were newly identified with NDH (N = 469,910) or diagnosed with T2DM (N = 222,795) between 1st April 2019 and 31st March 2020. We used regression models to explore inequalities in the under identification of NDH by area-level deprivation and age group.

RESULTS

Of those with a new T2DM diagnosis, 67.3% had no previous record of NDH. The odds of no previous NDH being recorded were higher amongst people living in more deprived areas (Odds ratio (OR) 1.15 (95% confidence intervals (CI) [1.12, 1.19]) most deprived (Q1) compared to least deprived (Q5) quintile) and younger individuals (OR 4.02 (95% CI [3.79, 4.27] under 35s compared to age 75-84)). Deprivation-related inequalities persisted after stratification by age group, with the largest inequalities amongst middle and older age groups. People living in more deprived areas and younger people also had shorter recorded NDH duration before progression to T2DM, and higher T2DM severity at the time of diagnosis.

CONCLUSIONS

There is under identification of NDH relative to diagnosis of T2DM amongst people living in more deprived areas and particularly amongst younger people, resulting in missed opportunities for targeted T2DM prevention efforts and potentially contributing to inequalities in T2DM prevalence and severity. More active NDH case-finding amongst these groups may be an important first step in helping to reduce inequalities in T2DM.

Real-world study of the multimorbidity and health service utilisation among individuals with non-diabetic hyperglycemia and type 2 diabetes mellitus in North West London

INTRODUCTION

The prevalence of non-diabetic hyperglycemia (NDH) and type 2 diabetes mellitus (T2DM) is increasing. While T2DM is recognised to be associated with multimorbidity and early mortality, people with NDH are frequently thought to be devoid of such complications, potentially exposing individuals with NDH to suboptimal care. We therefore used the Discover London Secure Data Environment (SDE) dataset to appreciate the relationship of NDH/T2DM with multimorbidity, healthcare usage, and clinical outcomes.

RESEARCH DESIGN AND METHODS

The dataset was retrospectively analysed between January 1, 2015 and December 31, 2020 to understand the relationship between NDH/T2DM and multimorbidity primary/secondary healthcare usage and clinical outcomes. This was compared with a cohort of individuals with thyroid disease but no NDH/T2DM.

RESULTS

The dataset identified 152,384 and 124,190 adults with NDH and T2DM compared with 11,626 individuals with thyroid disease (control group). Individuals with NDH and individuals with T2DM had a high burden of disease, with only 13.1% of individuals with either NDH or T2DM not found to be suffering from at least one of the disease states of interest. The three most common comorbidities experienced by individuals with NDH were hypertension (41.4%), hypercholesterolemia (37.5%), and obesity (29.8%) compared with retinopathy (68.7%), hypertension (59.4%), and obesity (45.8%) in individuals with T2DM. Comparatively, the most common comorbidities in the control group were depression (30.8%), hypercholesterolemia (24.4%), and hypertension (17.1%). 28 (control group), 12 (NDH), and 16 (T2DM) primary care contacts per individual per year were identified, with 27,881, 282,371, and 314,880 inpatient admissions for the control, NDH, and T2DM cohorts, respectively. Prescription of drugs used to treat T2DM in individuals with NDH and T2DM was 27,772 (18.2%) and 109,361 (88.1%), respectively, accounting for approximately one in five individuals with NDH developing T2DM.

CONCLUSION

Both NDH and T2DM were associated with significant multimorbidity alongside primary and secondary care utilisation. Given the morbidity highlighted with NDH, we highlight the need for earlier detection of NDH, recognition of multimorbidity associated with both NDH and T2DM, as well as the need for the further implementation of interventions to prevent progression to T2DM/multimorbidity.

Postpartum life interventions to prevent type 2 diabetes in women with gestational diabetes: A systematic review and meta-analysis

AIMS/INTRODUCTION

Type 2 diabetes mellitus is a major metabolic disease that seriously endangers life and health, but women with gestational diabetes mellitus are at increased risk for developing type 2 diabetes mellitus. This study aimed to evaluate the effectiveness of postpartum lifestyle intervention on the prevention of type 2 diabetes mellitus, and the effect of lifestyle intervention on glycemic outcomes and anthropometric measures.

MATERIALS AND METHODS

We searched PubMed and other databases to retrieve articles published before May 21, 2023, on randomized controlled trials of postnatal lifestyle interventions (diet and/or physical activity) in women with gestational diabetes mellitus. We estimated the pooled odds ratios using fixed or random effects models and conducted a subgroup analysis of the different intervention methods to explore differences in the different lifestyle interventions.

RESULTS

The review included 17 randomized controlled trials. Overall, lifestyle changes started after a pregnancy complicated by gestational diabetes mellitus an 11% (RR = 0.89; 95% CI: 0.74-1.07) reduction in diabetes risk; significant differences were found for weight (MD = -1.33; 95% CI: [-1.76; -0.89], P < 0.00001) body mass index (MD = -0.53; 95% CI: [-0.74, -0.32], P < 0.00001), and waist circumference change (MD = -1.38; 95% CI: [-2.12; -0.64], P = 0.0002) but not for fasting glucose (MD = -0.06; 95% CI: [-0.19; 0.06], P = 0.32), 2 h glucose (MD = -0.12; 95% CI: [-0.30; 0.06], P = 0.19), and hemoglobin A1c (MD = -0.11; 95% CI: [-0.23; 0.02], P = 0.09). Subgroup analyses showed no significant differences in the effects of different lifestyle interventions on the incidence of type 2 diabetes, blood glucose levels, and anthropometric parameters.

CONCLUSION

Our comprehensive meta-analysis of lifestyle interventions can improve modifiable anthropometric measures in women with gestational diabetes. We need further research to provide more intensive lifestyle intervention, more scientific intervention methods, and to reduce the incidence of type 2 diabetes in patients with gestational diabetes.

The Final Frontier in Diabetes Care: Implementing Research in Real-World Practice

Despite extensive evidence related to the prevention and management of type 2 diabetes (T2D) and its complications, most people at risk for and people who have diabetes do not receive recommended guideline-based care. Clinical implementation of proven care strategies is of the utmost importance because without this, even the most impressive research findings will remain of purely academic interest. In this review, we discuss the promise and challenges of implementing effective approaches to diabetes prevention and care in the real-world setting. We describe successful implementation projects in three critical areas of diabetes care-diabetes prevention, glycemic control, and prevention of diabetes-related complications-which provide a basis for further clinical translation and an impetus to improve the prevention and control of T2D in the community. Advancing the clinical translation of evidence-based care must include recognition of and assessment of existing gaps in care, identification of barriers to the delivery of optimal care, and a locally appropriate plan to address and overcome these barriers. Care models that promote team-based approaches, rather than reliance on patient-provider interactions, will enhance the delivery of contemporary comprehensive diabetes care.

Implementation of point-of-care HbA1C instruments into community pharmacies: Initial development of a pathway for robust community testing

BACKGROUND

Point-of-care (POC) analysers in community settings can provide opportunistic and regular HbA1c monitoring. Community pharmacies in NHS Scotland are utilised by populations at greatest risk of type two diabetes (T2D). This study describes initial development of an HbA1c pathway using a POC analyser in community pharmacies.

METHODS

The Abbott Afinion analyser was compared in (i) NHS Tayside's Blood Sciences Service and (ii) community pharmacies from four Scottish Health Boards. A side by side comparison with standard operating procedures for HbA1c quantification using 80 T2D patient venous samples. The machine was implemented into 11 community pharmacies and 144 samples obtained from patients for comparison to their recent laboratory HbA1c. Four focus groups examined themes around the intervention and an exit questionnaire was administered.

RESULTS

Laboratory assessment verified the efficacy of the POC test machine. The value for level 1 quality control was 44 mmol/mol and the mean during testing 42.7 mmol/mol. The greatest percent coefficient of variation (cv) was within-run for both levels of quality control material, at a value of 1.63% and 1.62%, respectively. The analyser performed robustly within the pharmacy assessment, with a mean difference of 1.68 and a standard deviation of 0.71 (CV 0.423). Patients with T2D reported positive experiences of using a pharmacy. The focus groups identified an appreciation of the convenience of pharmacies and of the longitudinal relationships with pharmacy staff.

CONCLUSION

POC HbA1c analysers can be successfully established in community pharmacies. The target patient group responded positively to the opportunity to use a pharmacy service.

Social Media in the Management of Obesity and Diabetes: An Underutilised Population Educational Tool

Obesity and diabetes are two of the most common chronic medical conditions encountered, putting an ever-increasing strain on healthcare systems worldwide. Social media meanwhile has taken the world by storm over the last 2 decades, providing a way to distribute information instantly and on a vast scale at the click of a button. The use of social media to aid in the management of obesity and diabetes though is an underutilised tool, with the potential to help in educating and supporting these patients in numerous ways both now and in the future, on a grand scale. The caveat to this, however, is the negative side of social media, which can include the spread of disinformation and bullying. In this commentary, we discuss the methodology and wide scale of positive and negative effects of social media across the management of obesity and diabetes, as well as the possible methods we can use this to our advantage in the medical profession to help our patients going forward.

Early outcomes of referrals to the English National Health Service Digital Weight Management Programme

OBJECTIVE

The study objective was to assess participant weight change for the English National Health Service (NHS) Digital Weight Management Programme, the first such digital intervention to achieve population coverage.

METHODS

A service evaluation was used to assess intervention effectiveness for adults with obesity and a diagnosis of hypertension and/or diabetes, between April 2021 and March 2022, using prospectively collected, national service-level data in England.

RESULTS

Of the 63,937 referrals made from general practices, within the time period, 31,861 (50%) chose to take up the 12-week Programme. There were 31,718 participants who had time to finish the Programme; of those, 14,268 completed the Programme (defined as attending ≥60%), a 45% completion rate. The mean weight change for those who had time to finish the Programme was -2.2 kg (95% CI: -2.25 to -2.16), for those who completed it was -3.9 kg (95% CI: -3.99 to -3.84), and for those who had time to finish the Programme but did not complete it was -0.74 kg (95% CI: -0.79 to -0.70).

CONCLUSIONS

The NHS Digital Weight Management Programme is effective at achieving clinically meaningful weight loss. The outcomes compare favorably to web-based weight management interventions tested in randomized trials and those delivered as face-to-face interventions, and results suggest that the approach may, with increased participation, bring population-level benefits.

Identifying Preferred Features of Weight Loss Programs for Adults With or at Risk of Type 2 Diabetes: A Discrete Choice Experiment With 3,960 Adults in the U.K

OBJECTIVE

To understand preferences for features of weight loss programs among adults with or at risk of type 2 diabetes in the U.K.

RESEARCH DESIGN AND METHODS

We conducted a discrete choice experiment with 3,960 U.K. adults living with overweight (n = 675 with type 2 diabetes). Preferences for seven characteristics of weight loss programs were analyzed. Simulations from choice models using the experimental data predicted uptake of available weight loss programs. Patient groups comprising those who have experience with weight loss programs, including from minority communities, informed the experimental design.

RESULTS

Preferences did not differ between individuals with and without type 2 diabetes. Preferences were strongest for type of diet. Healthy eating was most preferred relative to total diet replacement (odds ratio [OR] 2.24; 95% CI 2.04-2.44). Individual interventions were more popular than group interventions (OR 1.40; 95% CI 1.34-1.47). Participants preferred programs offering weight loss of 10-15 kg (OR 1.37; 95% CI 1.28-1.47) to those offering loss of 2-4 kg. Online content was preferred over in-person contact (OR 1.24; 95% CI 1.18-1.30). There were few differences in preferences by gender or ethnicity, although weight loss was more important to women than to men, and individuals from ethnic minority populations identified more with programs where others shared their characteristics. Modeling suggested that tailoring programs to individual preferences could increase participation by ∼17 percentage points (68% in relative terms).

CONCLUSIONS

Offering a range of weight loss programs targeting the preferred attributes of different patient groups could potentially encourage more people to participate in weight loss programs and support those living with overweight to reduce their weight.

Assessing the role of biomarker feedback in a 12-week community weight management programme among overweight men: A pilot study

BACKGROUND

The primary objective of this study was to examine the feasibility of recruitment, retention, and delivery of biomarker feedback among men partaking in Shape Up, a physical activity for health programme. Secondarily, it explored the potential effects of biomarker feedback on participants' adherence and motivation levels.

METHODS

In this two-arm non-randomised pilot study, 46 men (mean±SD age 46.0±8.6 years) participating in the 12-week Shape Up programme were assigned to a control group or biomarker feedback group. Biomarker feedback consisted of 3 blood test panels: at baseline, 12 weeks, and 24 weeks (follow-up), each with a doctor's report. Both groups completed questionnaires (Short Active Lives Survey [SALS], Treatment Self-Regulation Questionnaire [TSRQ], and EQ-5D-5L) to gauge levels of motivation and engagement. The mean difference was calculated between baseline and programme end. Recruitment, retention, and attendance rates were determined.

RESULTS

Mean recruitment (approach-to-consent), retention, and attendance rates were 96.3%, 92.3%, and 83.7% in the control group, and 85.2%, 86.2%, and 81.5% in the biomarker feedback group, respectively. Of biomarker feedback group participants, 86.4% attended their 12-week blood test and 45.5% attended their follow-up blood test. The mean 12-week differences (95% CI) for the control group and biomarker feedback group were 138.1 (2.7, 273.5) and 467.3 (249.4, 685.2) for active minutes per week, 0.2 (-0.8, 1.2) and 0.4 (0.0, 0.8) for autonomous TSRQ domains, 0.2 (-0.3, 0.8) and 0.8 (0.1, 1.4) for controlled TSRQ domains, and 19 (12.7, 26.5) and 27.2 (19.8, 34.6) for EQ-5D-5L scores, respectively.

CONCLUSION

Biomarker feedback was well-received by participants and deemed feasible, with high recruitment and retention rates for the duration of the 12-week programme. Biomarker feedback may affect aspects of motivation but did not appear to influence adherence to the programme. Biomarker data may provide additional evidence of programme efficacy. Important design considerations are provided for definitive larger-scale trials.

Healthcare workers' perspectives on barriers and facilitators to referral and recruitment to diabetes prevention programmes: a systematic review protocol

Background

Diabetes is a growing global health problem. International guidelines recommend identification, screening, and referral to behavioural programmes for those at high risk of developing type 2 diabetes. Diabetes prevention programmes (DPPs) can prevent type 2 diabetes in those at high risk, however many eligible participants are not referred to these programmes. Healthcare workers (HCWs) are pivotal to the referral and recruitment processes. This study aims to identify, appraise and synthesise the evidence on barriers and facilitators to referral and recruitment to DPPs from the perspective of HCWs.

Methods

A "best fit" framework synthesis method will synthesise qualitative, quantitative, and mixed methods evidence on factors that affect HCWs referral and recruitment to DPPs, with the Theoretical Domains Framework (TDF) as the a priori framework. MEDLINE, EMBASE, CINAHL, PsychINFO, Web of Science and Scopus will be searched for primary studies published in English. Year of publication will be restricted to the last 26 years (1997-2023). Quality will be assessed using the Mixed Methods Appraisal Tool. A mix of deductive coding using the TDF and inductive coding of data that does not fit the TDF will be synthesised into themes representing the whole dataset. The relationships between the final set of themes will be explored to create a new model to understand HCWs' perspectives on referral and recruitment to DPPs. Sensitivity analysis will be carried out on this conceptual model. Confidence in the synthesised findings will be assessed using the GRADE-CERQual approach. One author will screen, extract, appraise the literature while a second author will independently verify a 20% sample at each stage.

Discussion

Participation in DPPs is key for programme impact. HCWs typically identify those at risk and refer them to DPPs. Understanding HCWs' perspectives on the barriers and facilitators to referral and recruitment will inform future implementation of DPPs.

Low-calorie diets for people with isolated impaired fasting glucose

Thirunavukkarasu et al. discuss how standard lifestyle interventions prove ineffective in preventing type 2 diabetes in individuals with isolated impaired fasting glucose, a highly prevalent prediabetes phenotype globally. They propose low-calorie diets as a promising strategy for diabetes prevention in this high-risk population.

Level of attendance at the English National Health Service Diabetes Prevention Programme and risk of progression to type 2 diabetes

BACKGROUND

We evaluated the dose-response relationship between the level of attendance at the English National Health Service Diabetes Prevention Programme (DPP) and risk of progression to type 2 diabetes amongst individuals participating in the programme.

METHODS

We linked data on DPP attendance for 51,803 individuals that were referred to the programme between 1st June 2016 and 31st March 2018 and attended at least one programme session, with primary care records of type 2 diabetes diagnoses from the National Diabetes Audit up to 31st March 2020. Weibull survival regressions were used to estimate the association between the number of programme sessions attended and risk of progression to type 2 diabetes.

RESULTS

Risk of developing type 2 diabetes declined significantly for individuals attending seven of the 13 programme sessions and continued to decline further up to 12 sessions. Attending the full 13 sessions was associated with a 45.5% lower risk (HR: 0.545 95% CI: 0.455 to 0.652). Compared to individuals that only partially attended the programme, attendance at 60% or more of the sessions was associated with a 30.7% lower risk of type 2 diabetes (HR: 0.693 95% CI: 0.645 to 0.745).

CONCLUSIONS

Reducing the risk of progression to type 2 diabetes through diabetes prevention programmes requires a minimum attendance level at seven of the 13 programme sessions (54%). Retaining participants beyond this minimum level yields further benefits in diabetes risk reduction. Commissioners may wish to consider altering provider payment schedules to incentivise higher retention levels beyond 60% of programme sessions.

Digital empathy in behaviour change interventions: A survey study on health coach responses to patient cues

Introduction

Digital health coaching interventions for behaviour change (BC) are effective in addressing various health conditions. Implementing these requires accurate descriptions of components and health coaches (HC) delivery methods, alongside understanding patients' perceptions of these interactions. The HC-patient relationship significantly influences BC outcomes. Here, empathy is an important driver that enables HCs to offer tailored advice that resonates with patients' needs, fostering motivation. Yet, defining and measuring empathy remains a challenge. In this study, we draw on various BC frameworks and Pounds' empathy appraisal approach to categorise HCs responses to patient cues and explore the interplay between empathy and BC.

Methods

Using a two-round survey, we collected responses from 11 HCs to 10 patient messages from the Bump2Baby and Me trial in a simulated interaction. We analysed 88 messages to identify empathic responses and behaviour change techniques.

Results

Patients' implicit empathy opportunities showed higher response rates than explicit ones. HCs prioritised positive reinforcement and employed various strategies to achieve similar objectives. The most common empathic response was 'Acceptance' for patients' implicit positive expressions of self-judgement. HCs emphasised relatedness-support and competence-promoting techniques for implicit negative feelings and judgements, such as 'Show unconditional regard' and 'Review behaviour goals', and 'Action planning and Problem-solving' techniques to address explicit negative appreciations and feelings.

Conclusion

The use of different techniques with the same objective highlights the complexity of BC interactions. Further research is needed to explore the impact of this variability on patient outcomes and programme fidelity.

Quantity and specificity of action-plans as predictors of weight loss: analysis of data from the Norfolk Diabetes Prevention Study (NDPS)

OBJECTIVE

Investigate associations between quantity, content and specificity of action-plans and weight loss in a diabetes prevention study.

DESIGN

Prospective cohort study nested within a randomised controlled trial. Participants completed action-planning worksheets during intervention sessions.

MAIN OUTCOME MEASURES

Action-plans were coded in terms of: number of plans set, their content, and specificity. Multivariate regression analyses assessed associations with weight loss at four-months.

RESULTS

890 planning-worksheets from 106 participants were analysed. Participants wrote a mean of 2.12 (SD = 1.20) action-plans per worksheet, using a mean of 2.20 (SD = 0.68) specificity components per action-plan. Quantity of action-plans per worksheet decreased over time (r = -0.137, p < 0.001) and increased quantity was associated with reduced specificity [r = -.215, p < 0.001]. Walking (34.9% of action-plans) and reducing high fat/sugar snacks (26.1%) were the most commonly planned lifestyle actions. In multivariate modelling, increased quantity of action-plans was associated with greater weight loss (R2 = 0.135, Unstandardised Beta = 0.144, p = 0.002). Specificity was not significantly associated with weight-loss (p = 0.096).

CONCLUSION

Producing more action-plans was associated with greater weight loss. Further research should directly compare more versus less specific action-plans and explore ways to sustain engagement in action-planning. Our findings imply that participants should freely set numerous action-plans, rather than being encouraged to focus on specificity.

Supplemental data for this article is available online at https://doi.org/10.1080/08870446.2022.2055026 .

The effectiveness of digital delivery versus group-based face-to-face delivery of the English National Health Service Type 2 Diabetes Prevention Programme: a non-inferiority retrospective cohort comparison study

BACKGROUND

Face-to-face group-based diabetes prevention programmes have been shown to be effective in many settings. Digital delivery may suit some patients, but research comparing the effectiveness of digital with face-to-face delivery is scarce. The aim was to assess if digital delivery of the English National Health Service Diabetes Prevention Programme (NHS DPP) is non-inferior to group-based face-to-face delivery in terms of weight change, and evaluate factors associated with differential change.

METHODS

The study included those recruited to the NHS DPP in 2017-2018. Individual-level data from a face-to-face cohort was compared to two cohorts on a digital pilot who (i) were offered no choice of delivery mode, or (ii) chose digital over face-to-face. Changes in weight at 6 and 12 months were analysed using mixed effects linear regression, having matched participants from the digital pilot to similar participants from face-to-face.

RESULTS

Weight change on the digital pilot was non-inferior to face-to-face at both time points: it was similar in the comparison of those with no choice (difference in weight change: -0.284 kg [95% CI: -0.712, 0.144] at 6 months) and greater in digital when participants were offered a choice (-1.165 kg [95% CI: -1.841, -0.489]). Interactions between delivery mode and sex, ethnicity, age and deprivation were observed.

CONCLUSIONS

Digital delivery of the NHS DPP achieved weight loss at least as good as face-to-face. Patients who were offered a choice and opted for digital experienced better weight loss, compared to patients offered face-to-face only.

Diabetes and Multiple Long-term Conditions: A Review of Our Current Global Health Challenge

Use of effective treatments and management programs is leading to longer survival of people with diabetes. This, in combination with obesity, is thus contributing to a rise in people living with more than one condition, known as multiple long-term conditions (MLTC or multimorbidity). MLTC is defined as the presence of two or more long-term conditions, with possible combinations of physical, infectious, or mental health conditions, where no one condition is considered as the index. These include a range of conditions such as cardiovascular diseases, cancer, chronic kidney disease, arthritis, depression, dementia, and severe mental health illnesses. MLTC has major implications for the individual such as poor quality of life, worse health outcomes, fragmented care, polypharmacy, poor treatment adherence, mortality, and a significant impact on health care services. MLTC is a challenge, where interventions for prevention and management are lacking a robust evidence base. The key research directions for diabetes and MLTC from a global perspective include system delivery and care coordination, lifestyle interventions and therapeutic interventions.

Quasi-experimental evaluation of a nationwide diabetes prevention programme

Diabetes is a leading cause of morbidity, mortality and cost of illness1,2. Health behaviours, particularly those related to nutrition and physical activity, play a key role in the development of type 2 diabetes mellitus3. Whereas behaviour change programmes (also known as lifestyle interventions or similar) have been found efficacious in controlled clinical trials4,5, there remains controversy about whether targeting health behaviours at the individual level is an effective preventive strategy for type 2 diabetes mellitus6 and doubt among clinicians that lifestyle advice and counselling provided in the routine health system can achieve improvements in health7-9. Here we show that being referred to the largest behaviour change programme for prediabetes globally (the English Diabetes Prevention Programme) is effective in improving key cardiovascular risk factors, including glycated haemoglobin (HbA1c), excess body weight and serum lipid levels. We do so by using a regression discontinuity design10, which uses the eligibility threshold in HbA1c for referral to the behaviour change programme, in electronic health data from about one-fifth of all primary care practices in England. We confirm our main finding, the improvement of HbA1c, using two other quasi-experimental approaches: difference-in-differences analysis exploiting the phased roll-out of the programme and instrumental variable estimation exploiting regional variation in programme coverage. This analysis provides causal, rather than associational, evidence that lifestyle advice and counselling implemented at scale in a national health system can achieve important health improvements.

Attendance, Weight Loss, and Participation in a Behavioural Diabetes Prevention Programme

BACKGROUND

Weight loss in diabetes prevention programmes has been shown to be associated with participants' age, socio-economic status, and ethnicity. However, little is known about how these differences relate to attendance and whether such differences can be mediated by other potentially modifiable factors. Differential effectiveness across these factors may exacerbate health inequalities.

METHOD

Prospective analysis of participant data collected by one provider of the standardised national NHS diabetes prevention programme in England. Mediation analysis was performed via a structural equation model to examine whether the number of attended sessions mediated the associations of age, socio-economic status, and ethnicity with follow-up weight. The group-level factor of number of attended sessions was examined using multiple linear regression as a benchmark; multilevel linear regression using three levels (venue, coach, and group); and fixed effects regression to account for venue-specific and coach-specific characteristics.

RESULTS

The associations of age, socio-economic status, and ethnicity with follow-up weight were all mediated by the number of attended sessions. Group size was associated with attendance in an inverted 'U' shape, and the number of days between referral and group start was negatively associated with attendance. Time of day, day of the week, and the number of past groups led by the coach were not associated with attendance.

CONCLUSION

Most of the differences in weight loss initially attributed to socio-demographic factors are mediated by the attendance of the diabetes prevention programme. Therefore, targeted efforts to improve uptake and adherence to such programmes may help alleviate inequalities.

Improving data quality from routine clinical appointments-Development of a minimum dataset for traumatic dental injuries in children and adolescents

BACKGROUND/AIMS

It is currently difficult to evaluate the success or not of treatment for dental injuries due to poor recording of diagnostic and treatment codes in clinical dentistry. A minimum dataset comprises a standardised minimum set of outcomes along with a specified outcome measurement instrument, to allow aggregated use of data from routine clinical care appointments. This study aimed to determine which outcomes should be included in a minimum dataset for traumatic dental injuries (TDI).

MATERIALS AND METHODS

This is a three-stage sequential, mixed-methods study, using evidence-based best practice for dataset development. Normalisation process theory informed the development of the study protocols. In Stage 1, semi-structured interviews with patients and their parent or guardian were undertaken to identify outcomes of importance to patients. In Stage 2, an online Delphi survey was undertaken to identify outcomes of importance to clinicians. In Stage 3, a National Consensus Meeting was undertaken involving patient representatives, clinicians and other stakeholders, to agree which outcomes should be included in the minimum dataset.

RESULTS

Stage 1: Eleven participants were recruited, five children and six parents. Two key themes emerged from the analysis-communication and aesthetics. In Stage 2, 34 dentists were recruited, and 32 completed both rounds of the survey (97% retention). Most outcomes were deemed by participants to be of 'critical importance', with three outcomes deemed 'important' and none to be 'of limited importance'. In Stage 3, 15 participants took part in the consensus meeting. Participants agreed that the dataset should comprise a list of clinician-important outcomes (pulp healing, periodontal healing, discolouration, tooth loss) and a list of patient-important outcomes (communication, aesthetics, pain, quality of life).

CONCLUSION

A Minimum Dataset for TDI has been developed using a robust and transparent methodology.

What can functional brain imaging teach us about remission of type 2 diabetes?

AIMS

With a paradigm shift in attitudes towards type 2 diabetes (T2D), 'weight loss responsive' diabetes is now thought of as a curable disease state. As a result, national programmes are being orchestrated to induce T2D remission soon after diagnosis with aggressive dietary interventions-such as very low-calorie diets (VLCD). However, dietary interventions to achieve weight loss and diabetes remission lack the same long-term sustainability and cardiovascular risk reduction evidence as bariatric surgery. This review aims to explore how brain imaging has contributed to our understanding of human eating behaviours and how neural correlates are affected by T2D.

METHODS

We summarise functional MRI (fMRI) studies looking at human eating behaviour and obesity. We explore how these neural correlates are affected by insulin resistance and T2D itself as well as its different treatment approaches. Finally, we comment on the need for more personalised approaches to maintaining metabolic health and how fMRI studies may inform this.

CONCLUSION

fMRI studies have helped to fashion our understanding of the neurobiology of human appetite and obesity. Improving our understanding of the neural implications of T2D that promote disadvantageous eating behaviours will enable prevention of disease as well as mitigation against a vicious cycle of metabolic dysfunction and associated cognitive complications.

Diabetes prevention at scale: Narrative review of findings and lessons from the DIPLOMA evaluation of the NHS Diabetes Prevention Programme in England

AIMS

The NHS Diabetes Prevention Programme (NHS DPP) is a large-scale, England-wide behaviour change programme for people at high risk of progressing to type 2 diabetes. We summarise the findings of our six-year DIPLOMA evaluation of its implementation and impact and highlight insights for future programmes.

METHODS

Using qualitative interviews, document analysis, observation, surveys and large dataset analysis, eight interlinked work packages considered: equity of access; implementation; service delivery and fidelity; programme outcomes; comparative effectiveness and cost-effectiveness in reducing diabetes incidence; and patient decision making and experience.

RESULTS

Delivery of the NHS DPP encountered barriers across many aspects of the programme, and we identified inequalities in terms of the areas, organisations and patient populations most likely to engage with the programme. There was some loss of fidelity at all stages from commissioning to participant understanding. Despite these challenges, there was evidence of significant reductions in diabetes incidence at individual and population levels. The programme was cost-effective even within a short time period.

CONCLUSIONS

Despite the challenge of translating research evidence into routine NHS delivery at scale, our findings suggest that an individual-level approach to the prevention of type 2 diabetes in a 'high-risk' population was more effective than usual care. By embedding evaluation with programme delivery and working closely with the NHS DPP team, we provided actionable insights for improving communications with potential participants, supporting primary care referral, honing the delivery model with better provider relationships and more patient choice, increasing understanding of behaviour change techniques, and enriching the educational and health coaching content.

Indole-pyridine carbonitriles: multicomponent reaction synthesis and bio-evaluation as potential hits against diabetes mellitus

Background: Diabetes mellitus is a significant health disorder; therefore, researchers should focus on discovering new drug candidates. Methods: A series of indole-pyridine carbonitrile derivatives, 1-34, were synthesized through a one-pot multicomponent reaction and evaluated for antidiabetic and antioxidant potential. Results: In this library, 12 derivatives - 1, 2, 4, 5, 7, 8, 10-12, 14, 15 and 31 - exhibited potent inhibitory activities against α-glucosidase and α-amylase enzymes, in comparison to acarbose (IC50 = 14.50 ± 0.11 μM). Furthermore, kinetics, absorption, distribution, metabolism, excretion and toxicity and molecular docking studies were used to interpret the type of inhibition, binding energies and interactions of ligands with target enzymes. Conclusion: These results indicate that the compounds may be promising hits for controlling diabetes mellitus and its related complications.

Evaluating the Short-Term Costs and Benefits of a Nationwide Diabetes Prevention Programme in England: Retrospective Observational Study

BACKGROUND

Prevention programmes typically incur short-term costs and uncertain long-term benefits. We use the National Health Service (NHS) England Diabetes Prevention Programme (NHS-DPP) to investigate whether behaviour change programmes may be cost-effective even within the short-term participation period.

METHODS

We analysed 384,611 referrals between June 2016 and March 2019. We estimated NHS costs using implementation costs and provider payments. We used linear regressions to relate utility changes to the number of sessions attended, based on responses to the five-level EQ-5D (EQ-5D-5L) at baseline and final session for 18,959 participants. We then calculated the corresponding quality-adjusted life year (QALY) change for all 384,611 referrals by combining the estimated regression coefficients with the observed level of attendance, with individuals that did not attend any programme sessions being assumed to experience zero benefit. In secondary analysis, we added weight change, recorded for 18,105 participants to the regression and applied predicted values to all referrals with missing weight change values estimated using multiple imputation with chained equations. We then estimated the cost-per-QALY generated.

RESULTS

Average cost per referral was £119 (standard deviation: £118; 2020 price year, UK £ Sterling). Each session attended was associated with a 0.0042 increase in utility (95% confidence interval (CI): 0.0025-0.0059). This generated 1,773 QALYs across all referrals (95% CI: 889-2,656). Cost-per-QALY was £24,929 (95% CI: £16,635-49,720) when implementation costs were excluded. Secondary analysis showed each session attended and kilogram of weight lost were associated with 0.0034 (95% CI: 0.0016-0.0051) and 0.0025 (95% CI: 0.0020-0.0031) increases in utility, respectively. These generated 1,542 QALYs, at a cost-per-QALY of £28,661 when implementation costs were excluded.

CONCLUSION

Participants experienced small utility gains from session attendance and weight loss during their programme participation. These benefits alone made this low-cost behaviour change programme potentially cost-effective in the short-term.

Current insights and emerging trends in early-onset type 2 diabetes

Type 2 diabetes diagnosed in childhood or early adulthood is termed early-onset type 2 diabetes. Cases of early-onset type 2 diabetes are increasing rapidly globally, alongside rising obesity. Compared with a diagnosis later in life, an earlier-onset diagnosis carries an unexplained excess risk of microvascular complications, adverse cardiovascular outcomes, and earlier death. Women with early-onset type 2 diabetes also have a higher risk of adverse pregnancy outcomes. The high burden of complications renders individuals with early-onset type 2 diabetes at future risk of multimorbidity and interventions to reverse these concerning trends should be a priority. Within the early-onset cohort, disease pathophysiology and interventions have been better studied in paediatric-onset (<19 years) type 2 diabetes compared to adults; however, young adults aged 19-39 years (a larger number proportionally) are not well characterised and are also invisible in the current evidence base supporting management, which is derived from trials in later-onset type 2 diabetes. Young adults with type 2 diabetes face challenges in self-management that older individuals are less likely to experience (being in education or of working age, higher diabetes distress, and possible obesity-related stigma and diabetes-related stigma). There is a major research gap as to the optimal strategies to deploy in managing type 2 diabetes in adolescents and young adults, given that current models of care appear to not work as well in this age group. In the face of manifold risk factors (obesity, female sex, social deprivation, non-White European ethnicity, and genetic risk factors) prevention strategies with tailored lifestyle interventions, where needed, are likely to have greater success, but more evidence is needed. In this Review, we draw on evidence from both adolescents and young adults to provide a contemporary update on the current insights and emerging trends in early-onset type 2 diabetes.

A qualitative evaluation of the national rollout of a diabetes prevention programme in England

BACKGROUND

The National Health Service Diabetes Prevention Programme (NHS DPP) was commissioned by NHS England in 2016 and rolled out in three 'waves' across the whole of England. It aims to help people with raised blood glucose levels reduce their risk of developing type 2 diabetes through behaviour change techniques (e.g., weight loss, dietary changes and exercise). An independent, longitudinal, mixed methods evaluation of the NHS DPP was undertaken. We report the findings from the implementation work package: a qualitative interview study with designated local leads, responsible for the local commissioning and implementation of the programme. The aim of the study was to explore how local implementation processes were enacted and adapted over time.

METHODS

We conducted a telephone interview study across two time-points. Twenty-four semi-structured interviews with local leads across 19 sampled case sites were undertaken between October 2019 and January 2020 and 13 interviews with local leads across 13 sampled case sites were conducted between July 2020 and August 2020. Interviews aimed to reflect on the experience of implementation and explore how things changed over time.

RESULTS

We identified four overarching themes to show how implementation was locally enacted and adapted across the sampled case sites: 1. Adapting to provider change; 2. Identification and referral; 3. Enhancing uptake in underserved populations; and 4. Digital and remote service options.

CONCLUSION

This paper reports how designated local leads, responsible for local implementation of the NHS DPP, adapted implementation efforts over the course of a changing national diabetes prevention programme, including how local leads adapted implementation during the COVID-19 pandemic. This paper highlights three main factors that influence implementation: the importance of facilitation, the ability (or not) to tailor interventions to local needs and the role of context in implementation.

Engagement with a nationally-implemented digital behaviour change intervention: Usage patterns over the 9-month duration of the National Health Service Digital Diabetes Prevention Programme

Background

Digital behaviour change interventions may offer a scalable way to promote weight loss by increasing physical activity and improving diet. However, user engagement is necessary for such benefits to be achieved. There is a dearth of research that assesses engagement with nationally implemented digital programmes offered in routine practice. The National Health Service Digital Diabetes Prevention Programme (NHS-DDPP) is a nine-month digital behaviour change intervention delivered by independent providers for adults in England who are at high risk of developing type 2 diabetes. This study reports engagement with the NHS-DDPP for users enrolled onto the programme over the nine-month duration.

Methods

Anonymous usage data was obtained for a cohort of service users (n = 1826) enrolled on the NHS-DDPP with three independent providers, between December 2020 and June 2021. Usage data were obtained for time spent in app, and frequency of use of NHS-DDPP intervention features in the apps including self-monitoring, goal setting, receiving educational content (via articles) and social support (via health coaches and group forums), to allow patterns of usage of these key features to be quantified across the nine-month intervention. Median usage was calculated within nine 30-day engagement periods to allow a longitudinal analysis of the dose of usage for each feature.

Results

App usage declined from a median of 32 min (IQR 191) in month one to 0 min (IQR 14) in month nine. Users self-monitored their behaviours (e.g., physical activity and diet) a median of 117 times (IQR 451) in the apps over the nine-month programme. The open group discussion forums were utilised less regularly (accessed a median of 0 times at all time-points). There was higher engagement with some intervention features (e.g., goal setting) when support from a health coach was linked to those features.

Conclusions

App usage decreased over the nine-month programme, although the rate at which the decrease occurred varied substantially between individuals and providers. Health coach support may promote engagement with specific intervention features. Future research should assess whether engagement with particular features of digital diabetes prevention programmes is associated with outcomes such as reduced bodyweight and HbA1c levels.

Could diabetes prevention programmes result in the widening of sociodemographic inequalities in type 2 diabetes? Comparison of survey and administrative data for England

BACKGROUND

The NHS Diabetes Prevention Programme (DPP) in England is a behavioural intervention for preventing type 2 diabetes mellitus (T2DM) among people with non-diabetic hyperglycaemia (NDH). How this programme affects inequalities by age, sex, limiting illnesses or disability, ethnicity or deprivation is not known.

METHODS

We used multinomial and binary logistic regression models to compare whether the population with NDH at different stages of the programme are representative of the population with NDH: stages include (1) prevalence of NDH (using survey data from UK Household Longitudinal Study (n=794) and Health Survey for England (n=1383)); (2) identification in primary care and offer of programme (using administrative data from the National Diabetes Audit (n=1 267 350)) and (3) programme participation (using programme provider records (n=98 024)).

RESULTS

Predicted probabilities drawn from the regressions with demographics as each outcome and dataset identifier as predictors showed that younger adults (aged under 40) (4% of the population with NDH (95% CI 2.4% to 6.5%)) and older adults (aged 80 and above) (12% (95% CI 9.5% to 14.2%)) were slightly under-represented among programme participants (2% (95% CI 1.8% to 2.2%) and 8% (95% CI 7.8% to 8.2%) of programme participants, respectively). People living in deprived areas were under-represented in eight sessions (14% (95% CI 13.7% to 14.4%) vs 20% (95% CI 16.4% to 23.6%) in the general population). Ethnic minorities were over-represented among offers (35% (95% CI 35.1% to 35.6%) vs 13% (95% CI 9.1% to 16.4%) in general population), though the proportion dropped at the programme completion stage (19% (95% CI 18.5% to 19.5%)).

CONCLUSION

The DPP has the potential to reduce ethnic inequalities, but may widen socioeconomic, age and limiting illness or disability-related inequalities in T2DM. While ethnic minority groups are over-represented at the identification and offer stages, efforts are required to support completion of the programme. Programme providers should target under-represented groups to ensure equitable access and narrow inequalities in T2DM.

Design and Early Use of the Nationally Implemented Healthier You National Health Service Digital Diabetes Prevention Programme: Mixed Methods Study

BACKGROUND

The Healthier You National Health Service Digital Diabetes Prevention Programme (NHS-digital-DPP) is a 9-month digital behavior change intervention delivered by 4 independent providers that is implemented nationally across England. No studies have explored the design features included by service providers of digital diabetes prevention programs to promote engagement, and little is known about how participants of nationally implemented digital diabetes prevention programs such as this one make use of them.

OBJECTIVE

This study aimed to understand engagement with the NHS-digital-DPP. The specific objectives were to describe how engagement with the NHS-digital-DPP is promoted via design features and strategies and describe participants' early engagement with the NHS-digital-DPP apps.

METHODS

Mixed methods were used. The qualitative study was a secondary analysis of documents detailing the NHS-digital-DPP intervention design and interviews with program developers (n=6). Data were deductively coded according to an established framework of engagement with digital health interventions. For the quantitative study, anonymous use data collected over 9 months for each provider representing participants' first 30 days of use of the apps were obtained for participants enrolled in the NHS-digital-DPP. Use data fields were categorized into 4 intervention features (Track, Learn, Coach Interactions, and Peer Support). The amount of engagement with the intervention features was calculated for the entire cohort, and the differences between providers were explored statistically.

RESULTS

Data were available for 12,857 participants who enrolled in the NHS-digital-DPP during the data collection phase. Overall, 94.37% (12,133/12,857) of those enrolled engaged with the apps in the first 30 days. The median (IQR) number of days of use was 11 (2-25). Track features were engaged with the most (number of tracking events: median 46, IQR 3-22), and Peer Support features were the least engaged with, a median value of 0 (IQR 0-0). Differences in engagement with features were observed across providers. Qualitative findings offer explanations for the variations, including suggesting the importance of health coaches, reminders, and regular content updates to facilitate early engagement.

CONCLUSIONS

Almost all participants in the NHS-digital-DPP started using the apps. Differences across providers identified by the mixed methods analysis provide the opportunity to identify features that are important for engagement with digital health interventions and could inform the design of other digital behavior change interventions.

Global Prevalence of Prediabetes

OBJECTIVE

To estimate the global, regional, and national prevalence of prediabetes, defined by impaired glucose tolerance (IGT) or impaired fasting glucose (IFG).

RESEARCH DESIGN AND METHODS

We reviewed 7,014 publications for high-quality estimates of IGT (2-h glucose, 7.8-11.0 mmol/L [140-199 mg/dL]) and IFG (fasting glucose, 6.1-6.9 mmol/L [110-125 mg/dL]) prevalence for each country. We used logistic regression to generate prevalence estimates for IGT and IFG among adults aged 20-79 years in 2021 and projections for 2045. For countries without in-country data, we extrapolated estimates from countries with available data with similar geography, income, ethnicity, and language. Estimates were standardized to the age distribution for each country from the United Nations.

RESULTS

Approximately two-thirds of countries did not have high-quality IGT or IFG data. There were 50 high-quality studies for IGT from 43 countries and 43 high-quality studies for IFG from 40 countries. Eleven countries had data for both IGT and IFG. The global prevalence of IGT in 2021 was 9.1% (464 million) and is projected to increase to 10.0% (638 million) in 2045. The global prevalence of IFG in 2021 was 5.8% (298 million) and is projected to increase to 6.5% (414 million) in 2045. The 2021 prevalence of IGT and IFG was highest in high-income countries. In 2045, the largest relative growth in cases of IGT and IFG would be in low-income countries.

CONCLUSIONS

The global burden of prediabetes is substantial and growing. Enhancing prediabetes surveillance is necessary to effectively implement diabetes prevention policies and interventions.

Use of Real-World Data in Population Science to Improve the Prevention and Care of Diabetes-Related Outcomes

The past decade of population research for diabetes has seen a dramatic proliferation of the use of real-world data (RWD) and real-world evidence (RWE) generation from non-research settings, including both health and non-health sources, to influence decisions related to optimal diabetes care. A common attribute of these new data is that they were not collected for research purposes yet have the potential to enrich the information around the characteristics of individuals, risk factors, interventions, and health effects. This has expanded the role of subdisciplines like comparative effectiveness research and precision medicine, new quasi-experimental study designs, new research platforms like distributed data networks, and new analytic approaches for clinical prediction of prognosis or treatment response. The result of these developments is a greater potential to progress diabetes treatment and prevention through the increasing range of populations, interventions, outcomes, and settings that can be efficiently examined. However, this proliferation also carries an increased threat of bias and misleading findings. The level of evidence that may be derived from RWD is ultimately a function of the data quality and the rigorous application of study design and analysis. This report reviews the current landscape and applications of RWD in clinical effectiveness and population health research for diabetes and summarizes opportunities and best practices in the conduct, reporting, and dissemination of RWD to optimize its value and limit its drawbacks.

Reflections of patient and public involvement from a commissioned research project evaluating a nationally implemented NHS programme focused on diabetes prevention

Patient and Public Involvement and Engagement (PPIE) in research is recognised by the National Institute for Health and Care Research as crucial for high quality research with practical benefit for patients and carers. Patient and public contributors can provide both personal knowledge and lived experiences which complement the perspectives of the academic research team. Nevertheless, effective PPIE must be tailored to the nature of the research, such as the size and scope of the research, whether it is researcher-led or independently commissioned, and whether the research aims to design an intervention or evaluate it. For example, commissioned research evaluations have potential limits on how PPIE can feed into the design of the research and the intervention. Such constraints may require re-orientation of PPIE input to other functions, such as supporting wider engagement and dissemination. In this commentary, we use the 'Guidance for Reporting Involvement of Patients and the Public' (GRIPP2) short form to share our own experiences of facilitating PPIE for a large, commissioned research project evaluating the National Health Service Diabetes Prevention Programme; a behavioural intervention for adults in England who are at high risk of developing type 2 diabetes. The programme was already widely implemented in routine practice when the research project and PPIE group were established. This commentary provides us with a unique opportunity to reflect on experiences of being part of a PPIE group in the context of a longer-term evaluation of a national programme, where the scope for involvement in the intervention design was more constrained, compared to PPIE within researcher-led intervention programmes. We reflect on PPIE in the design, analysis and dissemination of the research, including lessons learned for future PPIE work in large-scale commissioned evaluations of national programmes. Important considerations for this type of PPIE work include: ensuring the role of public contributors is clarified from the outset, the complexities of facilitating PPIE over longer project timeframes, and providing adequate support to public contributors and facilitators (including training, resources and flexible timelines) to ensure an inclusive and considerate approach. These findings can inform future PPIE plans for stakeholders involved in commissioned research.

Achieving behavior change at scale: Causal evidence from a national lifestyle intervention program for pre-diabetes in the UK

There remains widespread doubt among clinicians that mere lifestyle advice and counseling provided in routine care can achieve improvements in health. We aimed to determine the health effects of the largest behavior change program for pre-diabetes globally (the English Diabetes Prevention Programme) when implemented at scale in routine care. We exploited the threshold in glycated hemoglobin (HbA1c) used to decide on program eligibility by applying a regression discontinuity design, one of the most credible quasi-experimental strategies for causal inference, to electronic health data from approximately one-fifth of all primary care practices in England. Program referral led to significant improvements in patients' HbA1c and body mass index. This analysis provides causal, rather than associational, evidence that lifestyle advice and counseling implemented in a national health system can achieve important health improvements.

Theory-informed strategies to address factors anticipated to influence implementation and people's participation in community pharmacy-based diabetes prevention services

Background

Early identification of non-diabetic hyperglycaemia and implementation of diet and lifestyle changes can prevent type 2 diabetes. However, low participation in diabetes prevention services remains a problem in the UK. The community pharmacy, one of the most accessible healthcare settings in the UK, could provide one solution to improving participation.

Aim

To prioritize factors that could influence delivery of, and people-participation in, community pharmacy-based diabetes prevention services, and to identify strategies to facilitate successful implementation.

Methods

A mixed-methods, primary care-based study, comprising of two stages: 1- Prioritizing key influences of participation and delivery using a structured Nominal Group Technique with people with non-diabetic hyperglycemia, and other stakeholders; 2 - Identifying theory informed strategies to facilitate successful implementation using framework analysis. This involved mapping prioritized influences and qualitative data from the Nominal Group Technique onto the Behaviour Change Wheel theoretical framework. The study was conducted in February 2019, in Norfolk, UK and ethical approval obtained prior to research commencing.

Results

Fifteen participants (five people with non-diabetic hyperglycaemia, nine community pharmacy and general practice staff and one commissioner) participated. Participants prioritized "awareness" and "service integration" as key factors likely to influence participation and "the provision of information about health consequences e.g., leaflets" and "action planning e.g. general practice referral of patients to prevention services" as key strategies to facilitate participation. "Training", "staffing levels" and "workload" were amongst the key factors prioritized as most likely to influence delivery. Strategies identified to facilitate implementation included "instructions of how to perform the behaviour e.g. standard operating procedures" and "reward e.g. funding".

Conclusions

This research provides theory informed strategies needed to facilitate successful implementation of community pharmacy-based diabetes prevention services. The findings of this study should inform the design of future diabetes prevention services to ensure participation and sustainability.

Association between the month of starting a weight management program and weight change in people at high risk of type 2 diabetes: A prospective cohort study

OBJECTIVE

Weight loss is one of the most common New Year's resolutions, but it is unclear whether attempting to lose weight in January is more successful than attempting it at other times of the year.

METHODS

In this prospective cohort study from the English National Health Service (NHS) Diabetes Prevention Program, adults with nondiabetic hyperglycemia were enrolled in a structured behavioral weight management program. Repeated measures models assessed the mean difference between baseline and follow-up weight adjusting for monthly variation in weight among those with ≥1 weight measurement.

RESULTS

Among 85,514 participants with a mean baseline BMI of 30.3 kg/m² (range: 13.4 to 84.2), mean weight change at the end of the program after an average 7.9 (SD: 4.5) sessions over 6.4 (SD: 5.6) months was -2.00 kg (95% CI: -2.02 to -1.97 kg) or -2.33% (95% CI: -2.35% to -2.32%). Compared with participants starting in January, participants starting in other months lost less weight, ranging between 0.28 kg (95% CI: 0.10 to 0.45 kg) less weight in those starting in March and 0.71 kg (95% CI: 0.55 to 0.87 kg) less weight in those starting in November. April and May were the only exceptions, in which the estimates followed the same direction but were not statistically significant. Higher session attendance mediated the effects, with participants starting in January attending, on average, 0.2 to 0.7 more sessions than those starting in other months.

CONCLUSIONS

People starting a weight management program in January lost 12% to 30% more weight than people starting it at other times of the year.

Embracing complexity: making sense of diet, nutrition, obesity and type 2 diabetes

Nutrition therapy has been emphasised for decades for people with type 2 diabetes, and the vital importance of diet and nutrition is now also recognised for type 2 diabetes prevention. However, the complexity of diet and mixed messages on what is unhealthy, healthy or optimal have led to confusion among people with diabetes and their physicians as well as the general public. What should people eat for the prevention, management and remission of type 2 diabetes? Recently, progress has been made in research evidence that has advanced our understanding in several areas of past uncertainty. This article examines some of these issues, focusing on the role of diet in weight management and in the prevention and management of type 2 diabetes. It considers nutritional strategies including low-energy, low-fat and low-carbohydrate diets, discusses inter-relationships between nutrients, foods and dietary patterns, and examines aspects of quantity and quality together with new developments, challenges and future directions.

A multiple case study of pre-diabetes care undertaken by general practice in Aotearoa/New Zealand: de-incentivised and de-prioritised work

BACKGROUND

In Aotearoa/New Zealand (NZ) general practices diagnose and manage pre-diabetes. This work is important as it has the potential to delay or prevent the onset of Type 2 Diabetes (T2DM), reduce NZ's health inequities, and the burden that T2DM places on health care services. However, no study has previously examined how this work routinely occurs in NZ.

METHODS

Two case studies of practices serving ethnically and socio-economically diverse populations, followed by cross-case analysis.

RESULTS

The NZ health care context including funding mechanisms, reporting targets, and the disease centred focus of care, acted together to dis-incentivise and de-prioritise pre-diabetes care in general practices. The social determinants of health differentially influenced patients' ability to engage with and respond to pre-diabetes care, significantly impacting this work. Differing perspectives about the significance of pre-diabetes and gaps in systematic screening practices were identified. Interventions used were inconsistent and lacked comprehensive ongoing support.

CONCLUSIONS

Complex multi-layered factors impact on pre-diabetes care, and many of the barriers cannot be addressed at the general practice level. The practice serving the most disadvantaged population who concurrently have higher rates of pre-diabetes/T2DM were more adversely affected by the barriers identified.

Description of the nationally implemented National Health Service digital diabetes prevention programme and rationale for its development: mixed methods study

BACKGROUND

The National Health Service (NHS) Digital Diabetes Prevention Programme (DDPP) is a behaviour change programme for adults in England who are at high risk of developing type 2 diabetes. Four independent providers deliver the NHS-DDPP following a competitive tendering process. Although providers work to a single service specification, there is potential for some variation in the service across providers. This study (1) assesses fidelity of the structural features of the design of the NHS-DDPP compared to the service specification, (2) describes the structural features of delivery of the NHS-DDPP as implemented (3) reports developers' views on how the structural components of the NHS-DDPP were developed and why changes were made following implementation.

METHODS

Using mixed methods, we conducted a document review of providers' NHS-DDPP design and delivery documentation, and extracted information using the Template for Intervention Description and Replication checklist, which was adapted to capture features of digital delivery. Documentation was supplemented by content analysis of interviews with 12 health coaches involved in delivering the NHS-DDPP. Semi-structured interviews were also conducted with 6 programme developers employed by the digital providers.

RESULTS

Provider plans for the NHS-DDPP show relatively high fidelity to the NHS service specification. Despite this, there was wide variation in structural features of delivery of the NHS-DDPP across providers, particularly for delivery of 'support' (e.g. use, dose and scheduling of health coaching and/or group support). Interviews with developers of the programmes showed that much of this variation is likely to be attributable to the origin of each provider's programme, which was usually a pre-existing programme that was adapted to conform to the NHS-DDPP service specification. The NHS-DDPP is continually improved and developed based on user experience feedback and research conducted by the providers.

CONCLUSION

Indirect evidence suggests that variation in delivery of support could affect effectiveness of the NHS-DDPP. A priority for future research is ascertaining whether the variation in delivery of the NHS-DDPP across providers is related to any differences in health outcomes. It is recommended that future rounds of commissioning the NHS-DDPP pre-specify the type of support participants should receive, including expected dose and scheduling.

The influence of demographic, health and psychosocial factors on patient uptake of the English NHS diabetes prevention programme

BACKGROUND

The 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.

METHODS

Drawing 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.

RESULTS

325 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.

CONCLUSION

Unlike 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.

Healthcare workers’ perspectives on barriers and facilitators to referral and recruitment to diabetes prevention programmes: a systematic review protocol

Background: Diabetes is a growing global health problem. International guidelines recommend identification, screening, and referral to behavioural programmes for those at high risk of developing type 2 diabetes. Diabetes prevention programmes (DPPs) can prevent type 2 diabetes in those at high risk, however many eligible participants are not referred to these programmes. Healthcare workers (HCWs) are pivotal to the referral and recruitment processes. This study aims to identify, appraise and synthesise the evidence on barriers and facilitators to referral and recruitment to DPPs from the perspective of HCWs. Methods: A “best fit” framework synthesis method will synthesise qualitative, quantitative, and mixed methods evidence on factors that affect HCWs referral and recruitment to DPPs, with the Theoretical Domains Framework (TDF) as the a priori framework. MEDLINE, EMBASE, CINAHL, PsychINFO, Web of Science and Scopus will be searched for primary studies published in English. Year of publication will be restricted to the last 25 years (1997–2022). Quality will be assessed using the Mixed Methods Appraisal Tool. A mix of deductive coding using the TDF and inductive coding of data that does not fit the TDF will be synthesised into themes representing the whole dataset. The relationships between the final set of themes will be explored to create a new model to understand HCWs’ perspectives on referral and recruitment to DPPs. Sensitivity analysis will be carried out this conceptual model. Confidence in the synthesised findings will be assessed using the GRADE-CERQual approach. One author will screen, extract, appraise the literature while a second author will independently verify a 20% sample at each stage. Discussion: Participation in DPPs is key for programme impact. HCWs typically identify those at risk and refer them to DPPs. Understanding HCWs’ perspectives of the barriers and facilitators to referral and recruitment will inform future implementation of DPPs.

Two decades of diabetes prevention efforts: A call to innovate and revitalize our approach to lifestyle change

The impact of global diabetes prevention efforts has been modest despite the promise of landmark diabetes prevention trials nearly twenty years ago. While national and regional initiatives show potential, challenges remain to adapt large-scale strategies in the real-world that fits individuals and their communities. Additionally, the sedentary lifestyle changes during the COVID-19 pandemic and guidelines that now call for earlier screening (e.g., US Preventative Task Force) will increase the pool of eligible adults worldwide. Thus, a more adaptable, person-centered approach that expands the current toolkit is urgently needed to innovate and revitalize our approach to diabetes prevention. This review identifies key priorities to optimize the population-level delivery of diabetes prevention based on a consensus-based evaluation of the current evidence among experts in global translational programs; key priorities identified include (1) participant eligibility, (2) intervention intensity, (3) delivery components, (4) behavioral economics, (5) technology, and (6) the role of pharmacotherapy. We offer a conceptual framework for a broader, person-centered approach to better address an individual's risk, readiness, barriers, and digital competency.

Addressing health inequalities in diabetes through research: Recommendations from Diabetes UK's 2022 health inequalities in diabetes workshop

AIMS

To develop a position statement which identifies research priorities to address health inequalities in diabetes and provides recommendations to researchers and research funders on how best to conduct research in these areas.

METHODS

A two-day research workshop was conducted bringing together research experts in diabetes, research experts in health inequalities, healthcare professionals and people living with diabetes.

RESULTS

The following key areas were identified as needing increased focus: How can we improve patient and public involvement and engagement to make diabetes research more inclusive of and relevant to diverse communities? How can we improve research design so that the people who could benefit most are represented? How can we use theories from implementation science to facilitate the uptake of research findings into routine practice to reach the populations with highest need? How can we collate and evaluate local innovation projects and disseminate best practice around tackling health inequalities in diabetes? How can we best collect and use data to address health inequalities in diabetes, including the harnessing of real-world and routinely collected data? How could research funders allocate funds to best address health inequalities in diabetes? How do we ensure the research community is representative of the general population?

CONCLUSIONS

This position statement outlines recommendations to address the urgent need to tackle health inequalities in diabetes through research and calls on the diabetes research community to act upon these recommendations to ensure future research works to eliminate unfair and avoidable disparities in health.

Comparison of weight change between face-to-face and digital delivery of the English National Health service diabetes prevention programme: An exploratory non-inferiority study with imputation of plausible weight outcomes

Worldwide evidence suggests face-to-face diabetes prevention programmes are effective in preventing and delaying the onset of type 2 diabetes by encouraging behaviour change towards weight loss, healthy eating, and increased exercise. There is an absence of evidence on whether digital delivery is as effective as face-to-face. During 2017-18 patients in England were offered the National Health Service Diabetes Prevention Programme as group-based face-to-face delivery, digital delivery ('digital-only') or a choice between digital and face-to-face ('digital-choice'). The contemporaneous delivery allowed for a robust non-inferiority study, comparing face-to-face with digital only and digital choice cohorts. Changes in weight at 6 months were missing for around half of participants. Here we take a novel approach, estimating the average effect in all 65,741 individuals who enrolled in the programme, by making a range of plausible assumptions about weight change in individuals who did not provide outcome data. The benefit of this approach is that it includes everyone who enrolled in the programme, not restricted to those who completed. We analysed the data using multiple linear regression models. Under all scenarios explored, enrolment in the digital diabetes prevention programme was associated with clinically significant reductions in weight which were at least equivalent to weight loss in the face-to-face programme. Digital services can be just as effective as face-to-face in delivering a population-based approach to the prevention of type 2 diabetes. Imputation of plausible outcomes is a feasible methodological approach, suitable for analysis of routine data in settings where outcomes are missing for non-attenders.