Interviews with Indigenous Maori with type 1 diabetes using open-source automated insulin delivery in the CREATE randomised trial.

Purpose: Open-source automated insulin delivery (AID) is used by thousands of people with type 1 diabetes (T1D), but has unknown generalisability to marginalised ethnic groups. This study explored experiences of Indigenous Maori participants in the CREATE trial with use of an open-source AID system to identify enablers/barriers to health equity. Methods: The CREATE randomised trial compared open-source AID (OpenAPS algorithm on an Android phone with a Bluetooth-connected pump) to sensor-augmented pump therapy. Kaupapa Maori Research methodology was used in this sub-study. Ten semi-structured interviews with Maori participants (5 children, 5 adults) and whanau (extended family) were completed. Interviews were recorded and transcribed, and data were analysed thematically. NVivo was used for descriptive and pattern coding. Results: Enablers/barriers to equity aligned with four themes: access (to diabetes technologies), training/support, operation (of open-source AID), and outcomes. Participants described a sense of empowerment, and improved quality of life, wellbeing, and glycaemia. Parents felt reassured by the system's ability to control glucose, and children were granted greater independence. Participants were able to use the open-source AID system with ease to suit whanau needs, and technical problems were manageable with healthcare professional support. All participants identified structures in the health system precluding equitable utilisation of diabetes technologies for Maori. Conclusion: Maori experienced open-source AID positively, and aspired to use this therapy; however, structural and socio-economic barriers to equity were identified. This research proposes strength-based solutions which should be considered in the redesign of diabetes services to improve health outcomes for Maori with T1D.Trial Registration: The CREATE trial, encompassing this qualitative sub-study, was registered with the Australian New Zealand Clinical Trials Registry (ACTRN12620000034932p) on the 20th January 2020. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-023-01215-3.

Inequalities in the Evaluation of Male Versus Female Athletes in Sports Medicine Research: A Systematic Review.

BACKGROUND: Female sports participation continues to rise; however, inequalities between male and female athletes still exist in many areas and may extend into medical research. PURPOSE: The purpose of this study was to (1) compare the number of published studies evaluating male versus female athletes in various sports and (2) identify which co-ed sports currently underrepresent female athletes in the sports medicine literature. STUDY DESIGN: Systematic review; Level of evidence, 4. METHODS: All nonreview research studies published from 2017 to 2021 in 6 top sports medicine journals were considered for inclusion. Sports medicine studies were included that isolated athletes, reported study outcomes specific to male and/or female patients, provided study outcomes for specific sports, and evaluated ≤3 different sports. The total number of studies reporting on male and/or female athletes were compared for all sports, and odds ratios (ORs) were calculated. Comparisons of study design, level of sports participation, outcomes assessed, and study quality were also made according to participant sex. RESULTS: Overall, 669 studies were included the systematic review. Most studies isolated male athletes (70.7%), while 8.8% isolated female athletes and 20.5% included male and female athletes. Female athletes were more frequently studied in softball and volleyball, while male athletes were more commonly researched in baseball, soccer, American football, basketball, rugby, hockey, and Australian football. Notably, male athletes were largely favored in baseball/softball (91% vs 5%; OR = 18.2), rugby (72% vs 5%; OR = 14.4), soccer (65% vs 15%; OR = 4.3), and basketball (58% vs 18%; OR = 3.2). CONCLUSION: Sports medicine research has favored the evaluation of male athletes in most sports, including the majority of co-ed sports. Potential reasons for this inequality of research evaluation include availability of public data and database data, financial and promotional incentives, a high percentage of male sports medicine clinicians and researchers, and sex biases in sport. While the causes of these differences are multifaceted, researchers should consider both sexes for study inclusion whenever possible, and journals should support a more balanced representation of research publications regarding male and female athletes.

Inequity in access to continuous glucose monitoring and health outcomes in paediatric diabetes, a case for national continuous glucose monitoring funding: A cross-sectional population study of children with type 1 diabetes in New Zealand.

Background: Continuous glucose monitoring (CGM) improves glycaemia for people affected by type 1 diabetes (T1D), but is not funded in Aotearoa/New Zealand. This study explores the impact of non-funded CGM on equity of access and associated glycaemic outcomes. Methods: Cross-sectional population-based study collected socio-demographic (age, gender, prioritised ethnicity, socioeconomic status) and clinical data from all regional diabetes centres in New Zealand with children <15 years with T1D as of 1st October 2021. De-identified data were obtained from existing databases or chart review. Outcomes compared socio-demographic characteristics between those using all forms of CGM and self-monitoring of blood glucose (SMBG), and association with HbA1c. Findings: 1209 eligible children were evaluated: 70.2% European, 18.1% Maori, 7.1% Pacific, 4.6% Asian, with even distribution across socioeconomic quintiles. Median HbA1c was 64 mmol/mol (8.0%), 40.2% utilised intermittently scanned (is)CGM, and 27.2% real-time (rt)CGM. CGM utilisation was lowest with Pacific ethnicity (38% lower than Maori) and the most deprived socioeconomic quintiles (quintile 5 vs. 1 adjusted RR 0.69; 95% CI, 0.57 to 0.84). CGM use was associated with regional diabetes centre (P < 0.001). The impact of CGM use on HbA1c differed by ethnicity: Maori children had the greatest difference in HbA1c between SMBG and rtCGM (adjusted difference -15.3 mmol/mol; 95% CI, -21.5 to -9.1), with less pronounced differences seen with other ethnicities. Interpretation: Inequities in CGM use exist based on prioritised ethnicity and socioeconomic status. Importantly, CGM was independently associated with lower HbA1c, suggesting that lack of CGM funding contributes to health disparity in children with T1D. Funding: Australasian Paediatric Endocrine Group (APEG), Canterbury Medical Research Foundation, Starship Foundation.

Metformin adherence in patients with type 2 diabetes and its association with glycated haemoglobin levels.

INTRODUCTION Metformin is the initial medication of choice for most patients with type 2 diabetes. Non-adherence results in poorer glycaemic control and increased risk of complications. AIM The aim of this study was to characterise metformin adherence and association with glycated haemoglobin (HbA1c) levels in a cohort of patients with type 2 diabetes. METHODS Prescription and dispensing data were used for this study. Primary care clinical and demographic data were collected from 10 general practices (October 2016-March 2018) and linked to pharmaceutical dispensing information. Metformin adherence was initially measured by calculating the proportion of patients who had optimal medication cover for at least 80% of days (defined as a medication possession ratio (MPR) of ≥0.8), calculated using dispensing data. Prescription adherence was assessed by comparing prescription and dispensing data. The association between non-adherence (MPR <0.8) and HbA1c levels was also assessed. RESULTS Of the 1595 patients with ≥2 metformin prescriptions, the mean MPR was 0.87. Fewer Maori had an MPR ≥0.8 than New Zealand European (63.8% vs. 81.2%). Similarly, Maori received fewer metformin prescriptions (P=0.02), although prescription adherence did not differ by ethnicity. Prescription adherence was lower in younger patients (P=0.002). Mean HbA1c levels were reduced by 4.8 and 5.0mmol/mol, respectively, in all and Maori patients with an MPR ≥0.8. Total prescription adherence reduced HbA1c by 3.2mmol/mol (all P<0.01). DISCUSSION Ethnic disparity exists for metformin prescribing, leading to an overall reduction in metformin coverage for Maori patients. This needs to be explored further, including understanding whether this is a patient preference or health system issue.