'Your wealth is your health': the fundamental causes of inequalities in diabetes management outcomes: a qualitative analysis

Personal Agency and Social Supports to Manage Health Among Non-Hispanic Black and Hispanic Men With Diabetes

The prevalence of type 2 diabetes (T2D) is increasing among non-Hispanic Black and Hispanic communities, especially among men who develop this chronic condition at earlier ages. Personal agency and social support are vital aspects to diabetes management. However, less is known about the relationship between these variables among men living with diabetes. The purposes of this study were to identify (1) levels of personal agency to manage health, (2) sources of social supports to manage health based on personal agency levels, and (3) factors associated with lower personal agency to manage health. Cross-sectional data from non-Hispanic Black (n = 381) and Hispanic (n = 292) men aged 40 years or older with T2D were collected using an internet-delivered questionnaire. Three binary logistic regression models were fitted to assess sociodemographics, health indicators, and support sources associated with weaker personal agency to manage health. About 68% of participants reported having the strongest personal agency relative to 32.1% reporting weaker personal agency. Men who relied more on their spouse/partner (odds ratio [OR] = 1.22, p = .025), coworkers (OR = 1.59, p = .008), or faith-based organizations (OR = 1.29, p = .029) for ongoing help/support to improve their health and manage health problems were more likely to have weaker personal agency. Conversely, men who relied more on their health care providers for ongoing help/support to improve their health and manage health problems were less likely to have weaker personal agency to manage health (OR = 0.74, p < .001). Findings suggest personal agency may influence men's support needs to manage T2D, which may also be influenced by cultural, socioeconomics, and the composition of social networks.

Inequalities in Diabetes Mortality Between Microregions in Hungary

Objectives: Regional differences in diabetes mortality are high in Hungary. In our cross-sectional study, we aim to reveal the drivers of the inequalities in diabetes mortality across the 197 microregions of Hungary. To account for the influence of changes in healthcare and social conditions, we compared two periods (2009-12 and 2013-16). Methods: Traditional and re-conceptualized deprivation- and healthcare provison measures were used in OLS regression models. Results: Microregions with a high proportion of population living in "service deserts," especially in regard to the lack of grocery stores, suffer the highest rates of diabetes mortality. Alcohol-related mortality has been proven to be a similarly and surprisingly strong predictor of diabetes mortality. Conclusion: Food provision should be supported in areas characterized by low service density, and alcohol policy should be strengthened and targeted.

Barriers to uptake of Open-Source automated insulin delivery Systems: Analysis of socioeconomic factors and perceived challenges of adults with type 1 diabetes from the OPEN survey

AIMS

Social and technical trends are empowering people with diabetes to co-create or self-develop medical devices and treatments to address their unmet healthcare needs, for example, open-source automated insulin delivery (AID) systems. This study aims to investigate the perceived barriers towards adoption and maintaining of open-source AID systems.

METHODS

This is a multinational study based on a cross-sectional, retrospective web-based survey of non-users of open-source AID. Participants (n = 129) with type 1 diabetes from 31 countries were recruited online to elicit their perceived barriers towards building and maintaining of an open-source AID system.

RESULTS

Sourcing the necessary components, lack of confidence in one's own technology knowledge and skills, perceived time and energy required to build a system, and fear of losing healthcare provider support appear to be major barriers towards the uptake of open-source AID.

CONCLUSIONS

This study identified a range of structural and individual-level barriers to uptake of open-source AID. Some of these individual-level barriers may be overcome over time through the peer support of the DIY online community as well as greater acceptance of open-source innovation among healthcare professionals. The findings have important implications for understanding the possible wider diffusion of open-source diabetes technology solutions in the future.

Impact of a social prescribing intervention in North East England on adults with type 2 diabetes: the SPRING_NE multimethod study

Background

Link worker social prescribing enables health-care professionals to address patients’ non-medical needs by linking patients into various services. Evidence for its effectiveness and how it is experienced by link workers and clients is lacking.

Objectives

To evaluate the impact and costs of a link worker social prescribing intervention on health and health-care costs and utilisation and to observe link worker delivery and patient engagement.

Data sources

Quality Outcomes Framework and Secondary Services Use data.

Design

Multimethods comprising (1) quasi-experimental evaluation of effects of social prescribing on health and health-care use, (2) cost-effectiveness analysis, (3) ethnographic methods to explore intervention delivery and receipt, and (4) a supplementary interview study examining intervention impact during the first UK COVID-19 lockdown (April–July 2020).

Study population and setting

Community-dwelling adults aged 40–74 years with type 2 diabetes and link workers in a socioeconomically deprived locality of North East England, UK.

Intervention

Link worker social prescribing to improve health and well-being-related outcomes among people with long-term conditions.

Participants

(1) Health outcomes study, approximately n = 8400 patients; EuroQol-5 Dimensions, five-level version (EQ-5D-5L), study, n = 694 (baseline) and n = 474 (follow-up); (2) ethnography, n = 20 link workers and n = 19 clients; and COVID-19 interviews, n = 14 staff and n = 44 clients.

Main outcome measures

The main outcome measures were glycated haemoglobin level (HbA1c; primary outcome), body mass index, blood pressure, cholesterol level, smoking status, health-care costs and utilisation, and EQ-5D-5L score.

Results

Intention-to-treat analysis of approximately 8400 patients in 13 intervention and 11 control general practices demonstrated a statistically significant, although not clinically significant, difference in HbA1c level (–1.11 mmol/mol) and a non-statistically significant 1.5-percentage-point reduction in the probability of having high blood pressure, but no statistically significant effects on other outcomes. Health-care cost estimates ranged from £18.22 (individuals with one extra comorbidity) to –£50.35 (individuals with no extra comorbidity). A statistically non-significant shift from unplanned (non-elective and accident and emergency admissions) to planned care (elective and outpatient care) was observed. Subgroup analysis showed more benefit for individuals living in more deprived areas, for the ethnically white and those with fewer comorbidities. The mean cost of the intervention itself was £1345 per participant; the incremental mean health gain was 0.004 quality-adjusted life-years (95% confidence interval –0.022 to 0.029 quality-adjusted life-years); and the incremental cost-effectiveness ratio was £327,250 per quality-adjusted life-year gained. Ethnographic data showed that successfully embedded, holistic social prescribing providing supported linking to navigate social determinants of health was challenging to deliver, but could offer opportunities for improving health and well-being. However, the intervention was heterogeneous and was shaped in unanticipated ways by the delivery context. Pressures to generate referrals and meet targets detracted from face-to-face contact and capacity to address setbacks among those with complex health and social problems.

Limitations

The limitations of the study include (1) a reduced sample size because of non-participation of seven general practices; (2) incompleteness and unreliability of some of the Quality and Outcomes Framework data; (3) unavailability of accurate data on intervention intensity and patient comorbidity; (4) reliance on an exploratory analysis with significant sensitivity analysis; and (5) limited perspectives from voluntary, community and social enterprise.

Conclusions

This social prescribing model resulted in a small improvement in glycaemic control. Outcome effects varied across different groups and the experience of social prescribing differed depending on client circumstances.

Future work

To examine how the NHS Primary Care Network social prescribing is being operationalised; its impact on health outcomes, service use and costs; and its tailoring to different contexts.

Trial registration

This trial is registered as ISRCTN13880272.

Funding

This project was funded by the National Institute for Health and Care Research (NIHR) Public Health Research programme, Community Groups and Health Promotion (grant no. 16/122/33) and will be published in full in Public Health Research; Vol. 11, No. 2. See the NIHR Journals Library website for further project information.

Socioeconomic deprivation is associated with reduced efficacy of an insulin adjustment education program for people with type 1 diabetes

BACKGROUND

The Dose Adjustment for Normal Eating (DAFNE) course teaches insulin dose adjustment to match dietary carbohydrates and improve glycaemic control in participants with type 1 diabetes mellitus (T1DM). We investigated the association between socioeconomic deprivation and reduction in HbA1c as a marker of sustained glycaemic control, after attending DAFNE education.

METHODS

This retrospective observational study identified adults with T1DM who attended DAFNE training in NHS Lothian, South East Scotland. We extracted age, sex, postcode-based Scottish Index of Multiple Deprivation (SIMD) quintiles and annual HbA1c measurements available four years before and after course attendance. We calculated mean HbA1c before (baseline) and after attendance at DAFNE, across four annual measurements. Change in mean HbA1c (mmol/mol) was categorised into three groups: decrease (≥ - 2.5), no change (<±2.5), increase (≥ + 2.5). We used multivariable ordinal logistic regression, with baseline mean HbA1c as a covariate, to investigate the association of SIMD quintile with reduction in mean HbA1c.

RESULTS

335 participants were included. Age and sex distribution were similar across SIMD quintiles (Mean age = 45, range 21-91, 59% women). Lower SIMD quintiles (greater deprivation) had higher baseline mean HbA1c (SIMD 1: 76.0, SIMD 5: 69.0). Higher SIMD quintiles (lower deprivation) were associated with lower odds of no change/increase in mean HbA1c (SIMD 5, odds ratio = 0.25, 95% confidence interval 0.10, 0.58, p = 0.001, multivariable analysis).

CONCLUSION

Socioeconomic deprivation was associated with higher baseline mean HbA1c and lower reduction in HbA1c following DAFNE education. Future research could explore causes and how best to support participants from deprived areas.

PREVIOUS SUBMISSIONS

This work has not been previously submitted to a journal. This work was presented as a poster at The ABCD Conference 2021 and the abstract (of no more than 300 words) from the meeting has been published: Innes CWD, Henshall DE, Wilson B, Poon M, Morley SD, Ritchie SA. Socioeconomic deprivation is associated with reduced efficacy of an insulin adjustment education programme for people with type 1 diabetes. Br J Diabetes. 2021; 21: 293-296.

'He called me out of the blue': An ethnographic exploration of contrasting temporalities in a social prescribing intervention

Social prescribing, a way of connecting patients to local services, is central to the NHS Personalised Care agenda. This paper employs ethnographic data, generated with 19 participants between November 2018 and July 2020, to explore the socio-temporal relations shaping their experiences of a local social prescribing intervention. Our focus is on the ways in which the intervention synchronised with the multitude of shifting, complex and often contradictory 'timespaces' of our participants. Our focus on the temporal rhythms of everyday practice allows us to trace a tension between the linearity and long horizon of the intervention and the oft contrasting timeframes of participants, sometimes leading to a mismatch that limited the intervention's impact. Further, we observed an interventional 'drift' from continuity towards unsupported signposting and 'out-of-the-blue' contacts which favour the temporality of the intervention. We demonstrate a need for intervention planning to be flexible to multiple, often conflicting, temporalities. We argue that health interventions must account for the temporal relations lived by the people they seek to support.

Food Handling Concerns and Practices at Home during the COVID-19 Pandemic by Food Security Status

ABSTRACT

There is limited examination about coronavirus disease 19 (COVID-19)-related food handling concerns and practices that cause chemical or microbial contamination and illness, particularly among those with food insecurity. We investigated consumer food handling concerns and practices during the COVID-19 pandemic and whether they differed by food insecurity status. An online survey was distributed among Chicago, IL, residents between 15 July and 21 August 2020 (n = 437). Independent t tests and Fisher's exact tests were used to identify differences in food handling concerns and practices between those with and without food insecurity (alpha = 0.05). Survey items included questions about food handling practices that were considered safe or neutral (i.e., washing hands and produce with water, sanitizing food packaging) and unsafe (i.e., using cleaning agents to wash foods, leaving perishable foods outside) by using 5-point Likert-style scales or categorical responses (i.e., yes, no). Participant responses fell between "slightly" and "somewhat" concerned about contracting COVID-19 from food and food packaging (mean ± standard error [SE]: 2.7 ± 0.1). Although participants reported washing their hands before eating and before preparing foods at least "most of the time" (mean ± SE: 4.4 ± 0.0 and 4.5 ± 0.0, respectively), only one-third engaged in unsafe practices. The majority of participants (68%) indicated that they altered food handling practices due to the COVID-19 pandemic and received information about food safety from social media (61%). When investigating differences in concerns and practices by food insecurity status, food insecure participants were more concerned about COVID-19 foodborne transmission for all food items (all P < 0.001) and more frequently performed unsafe food handling practices than those with food security (all P < 0.001). Results from this study suggest more investigation is needed to understand barriers to safe food handling knowledge and practices, particularly among those with food insecurity.

HIGHLIGHTS

Social prescribing and classed inequality: A journey of upward health mobility?

Social prescribing, characterised by a link worker connecting patients with local groups and services, is currently being widely implemented in the UK. Taking clients' experiences of a social prescribing intervention in the North of England between November 2019 and July 2020 as its focus, this paper employs ethnographic methods to explore the complex social contexts in which social prescribing is delivered. Building on Bourdieusian approaches to class, we concentrate on four case studies to offer a theoretically-grounded analysis which attends to the relationship between everyday contexts and the classed processes by which health capital may be accrued. By following clients' experiences and trajectories through shifting positions across time - often entailing moments of tension and disjuncture - we explore how processes of classed inequality relate to engagement in the social prescribing intervention. Our results show how structural contexts, and relatedly the possession of capital, shape clients' priorities to invest in the cultural health capital offered by the intervention. Importantly, while inequalities shaped participants' capacity to engage with the intervention, all participants recognised the value of the health capital on offer. We conclude by arguing that inequalities cannot be tackled through focusing on the individual in the delivery of personalised care and therefore offer a counter narrative to socio-political assumptions that social prescribing reduces health inequalities. Crucially, we argue that such assumptions wrongly presuppose that people are homogenously disposed to engaging in their future health.