Associations of type 1 and type 2 diabetes with COVID-19-related mortality in England: a whole-population study.

BACKGROUND: Although diabetes has been associated with COVID-19-related mortality, the absolute and relative risks for type 1 and type 2 diabetes are unknown. We assessed the independent effects of diabetes status, by type, on in-hospital death in England in patients with COVID-19 during the period from March 1 to May 11, 2020. METHODS: We did a whole-population study assessing risks of in-hospital death with COVID-19 between March 1 and May 11, 2020. We included all individuals registered with a general practice in England who were alive on Feb 16, 2020. We used multivariable logistic regression to examine the effect of diabetes status, by type, on in-hospital death with COVID-19, adjusting for demographic factors and cardiovascular comorbidities. Because of the absence of data on total numbers of people infected with COVID-19 during the observation period, we calculated mortality rates for the population as a whole, rather than the population who were infected. FINDINGS: Of the 61 414 470 individuals who were alive and registered with a general practice on Feb 16, 2020, 263 830 (0·4%) had a recorded diagnosis of type 1 diabetes, 2 864 670 (4·7%) had a diagnosis of type 2 diabetes, 41 750 (0·1%) had other types of diabetes, and 58 244 220 (94·8%) had no diabetes. 23 698 in-hospital COVID-19-related deaths occurred during the study period. A third occurred in people with diabetes: 7434 (31·4%) in people with type 2 diabetes, 364 (1·5%) in those with type 1 diabetes, and 69 (0·3%) in people with other types of diabetes. Unadjusted mortality rates per 100 000 people over the 72-day period were 27 (95% CI 27-28) for those without diabetes, 138 (124-153) for those with type 1 diabetes, and 260 (254-265) for those with type 2 diabetes. Adjusted for age, sex, deprivation, ethnicity, and geographical region, compared with people without diabetes, the odds ratios (ORs) for in-hospital COVID-19-related death were 3·51 (95% CI 3·16-3·90) in people with type 1 diabetes and 2·03 (1·97-2·09) in people with type 2 diabetes. These effects were attenuated to ORs of 2·86 (2·58-3·18) for type 1 diabetes and 1·80 (1·75-1·86) for type 2 diabetes when also adjusted for previous hospital admissions with coronary heart disease, cerebrovascular disease, or heart failure. INTERPRETATION: The results of this nationwide analysis in England show that type 1 and type 2 diabetes were both independently associated with a significant increased odds of in-hospital death with COVID-19. FUNDING: None.

Early Outcomes From the English National Health Service Diabetes Prevention Programme.

OBJECTIVE: To assess weight and HbA1c changes in the Healthier You: National Health Service Diabetes Prevention Programme (NHS DPP), the largest DPP globally to achieve universal population coverage. RESEARCH DESIGN AND METHODS: A service evaluation assessed intervention effectiveness for adults with nondiabetic hyperglycemia (HbA1c 42-47 mmol/mol [6.0-6.4%] or fasting plasma glucose 5.5-6.9 mmol/L) between program launch in June 2016 and December 2018, using prospectively collected, national service-level data in England. RESULTS: By December 2018, 324,699 people had been referred, 152,294 had attended the initial assessment, and 96,442 had attended at least 1 of 13 group-based intervention sessions. Allowing sufficient time to elapse, 53% attended an initial assessment, 36% attended at least one group-based session, and 19% completed the intervention (attended >60% of sessions). Of the 32,665 who attended at least one intervention session and had sufficient time to finish, 17,252 (53%) completed: intention-to-treat analyses demonstrated a mean weight loss of 2.3 kg (95% CI 2.2, 2.3) and an HbA1c reduction of 1.26 mmol/mol (1.20, 1.31) (0.12% [0.11, 0.12]); completer analysis demonstrated a mean weight loss of 3.3 kg (3.2, 3.4) and an HbA1c reduction of 2.04 mmol/mol (1.96, 2.12) (0.19% [0.18, 0.19]). Younger age, female sex, Asian and black ethnicity, lower socioeconomic status, and normal baseline BMI were associated with less weight loss. Older age, female sex, black ethnicity, lower socioeconomic status, and baseline overweight and obesity were associated with a smaller HbA1c reduction. CONCLUSIONS: Reductions in weight and HbA1c compare favorably with those reported in recent meta-analyses of pragmatic studies and suggest likely future reductions in participant type 2 diabetes incidence.

The Well Organised Working Environment: A mixed methods study.

BACKGROUND: The English National Health Service Institute for Innovation and Improvement designed a series of programmes called The Productive Series. These are innovations designed to help healthcare staff reduce inefficiency and improve quality, and have been implemented in healthcare organisations in at least 14 different countries. This paper examines an implementation of the first module of the Productive Community Services programme called 'The Well Organised Working Environment'. OBJECTIVE: The quantitative component aims to identify the quantitative outcomes and impact of the implementation of the Well Organised Working Environment module. The qualitative component aims to describe the contexts, mechanisms and outcomes evident during the implementation, and to consider the implication of these findings for healthcare staff, commissioners and implementation teams. DESIGN: Mixed methods explanatory sequential design. SETTINGS: Community Healthcare Organisation in East Anglia, England. PARTICIPANTS: For the quantitative data, participants were 73 staff members that completed End of Module Assessments. Data from 25 services that carried out an inventory of stock items stored were also analysed. For the qualitative element, participants were 45 staff members working in the organisation during the implementation, and four members of the Productive Community Services Implementation Team. METHODS: Staff completed assessments at the end of the module implementation, and the value of items stored by clinical services was recorded. After the programme concluded, semi-structured interviews with staff and a focus group with members of the Productive Community Services implementation team were analysed using Framework Analysis employing the principles of Realist Evaluation. RESULTS: 62.5% respondents (n=45) to the module assessment reported an improvement in their working environment, 37.5% (n=27) reported that their working environment stayed the same or deteriorated. The reduction of the value of items stored by services ranged from £4 to £5039 across different services. Results of the qualitative analysis suggests explanations for why the programme worked in some contexts and not others, for instance due to varying levels of management support, and varying levels of resources allocated to carrying out or sustaining the improvement work. CONCLUSIONS: Quantitative analysis of data generated during healthcare improvement initiatives can give an impression of the benefits realised, but additional qualitative analysis also provides opportunity for learning to improve future implementations. Targets set by commissioners for innovation should focus on sustaining improvement rather demonstrating one-off benefits, and implementation teams should not let their preconceptions of what will and what will not work prevent them from trying interventions that may benefit staff.

Staff perceptions of a Productive Community Services implementation: A qualitative interview study.

BACKGROUND: The Productive Series is a collection of change programmes designed by the English National Health Service (NHS) Institute for Innovation and Improvement to help frontline healthcare staff improve quality and reduce wasted time, so that this time can be reinvested into time spent with patients. The programmes have been implemented in at least 14 countries around the world. This study examines an implementation of the Productive Community Services programme that took place in a Community healthcare organisation in England from July 2010 to March 2012. OBJECTIVES: To explore staff members' perceptions of a Productive Community Services implementation. DESIGN: Cross-sectional interview. SETTINGS: Community Healthcare Organisation in East Anglia, England. PARTICIPANTS: 45 participants were recruited using purposive, snowballing and opportunistic sampling methods to represent five main types of staff group in the organisation; clinical team members, administrative team members, service managers/team leaders, senior managers and software support staff. Team members were recruited on the basis that they had submitted data for at least one Productive Community Services module. METHODS: Semi-structured individual and group interviews were carried out after the programme concluded and analysed using thematic analysis. RESULTS: This report focuses on six of the themes identified. The analysis found that communication was not always effective, and there was a lack of awareness, knowledge and understanding of the programme. Many staff did not find the Productive Community Services work relevant, and although certain improvements were sustained, suboptimal practices crept back. Although negative outcomes were reported, such as the programme taking time away from patients initially, many benefits were described including improved stock control and work environments, and better use of the Electronic Patient Record system. CONCLUSIONS: One of the themes identified highlighted the positive perceptions of the programme, however a focus on five other themes indicate that important aspects of the implementation could have been improved. The innovation and implementation literature already addresses the issues identified, which suggests a gap between theory and practice for implementation teams. A lack of perceived relevance also suggests that similar programmes need to be made more easily adaptable for the varied specialisms found in Community Services. Further research on Productive Community Services implementations and knowledge transfer is required, and publication of studies focusing on the less positive aspects of implementations may accelerate this process.